DETAILED ACTION
This action is responsive to Remarks and Claim amendments filed on May 30, 2023.
1-2, 4-5, 7, 10-12, 14-15, 17 and 19-20 have been amended.
Claims 1-20 are pending and are presented to examination.
The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA .
Information Disclosure Statement
As required by M.P.E.P. 609, the applicant’s submission of the Information Disclosure Statements dated February 20, 2026 and May 20, 2026 (two different versions) are acknowledged by the examiner and the cited references have been considered in the examination of the claims now pending.
Response to amendments
The objection of the specification (Abstract of the Disclosure) is withdrawn in view of applicant’s amendments.
The rejection of claims 1-20 under 35 U.S.C. 101 (Abstract Idea) is withdrawn in view of applicant’s amendments. Independent claims 1, 11, and 19 have been amended to require, inter alia, integrating the generated control code into the industrial system project to yield updated control code, sending the updated control code to an industrial controller, and configuring the industrial controller to monitor and control an industrial automation system in accordance with the one or more requirements defined by the prompt. These limitations integrate any recited judicial exception into a practical application under MPEP 2106.04(d)(1)-(2) by reciting an improvement to the technical field of industrial control programming and by tying the claimed operations to a particular machine, namely an industrial controller executing the updated control code to monitor and control an industrial automation system.
The rejection of claims 1-3, 5, 6, 10-13, 15-16 and 19-20 under 35 U.S.C. § 103 over Stump et al. (US Pub. No. 2021/0096827) in view of Heiko Koziolek et al. ("ChatGPT for PLC/DCS Control Logic Generation") is withdrawn. As amended, independent claims 1, 11, and 19 each require a generative artificial intelligence (AI) component configured to perform contextual analysis on the existing control code of the industrial system project to determine at least one of a type of industrial application or an industrial vertical for which the industrial system project is being developed, and to generate, using the generative AI model, generated control code inferred to satisfy the one or more requirements based on analysis of the prompt and a result of the contextual analysis. Stump discloses an industrial integrated development environment with a project generation component, a project deployment component for commissioning system projects to industrial controllers, libraries of modular code organized by industry vertical (paragraph [0041]), a training component that applies analytics to aggregated project data submitted by developers across multiple industrial enterprises (paragraph [0042]), and a conversion component for processing legacy control programs (paragraph [0043]), but does not disclose performing contextual analysis on the existing control code of the current industrial system project to determine an industrial application or industrial vertical for which the project is being developed, and does not disclose using a generative AI model to generate control code based on a result of such contextual analysis. Koziolek discloses using ChatGPT and the GPT-4 large language model to generate IEC 61131-3 Structured Text code from natural language prompts (Section IV-V), and discloses that ChatGPT retains domain knowledge of industrial control applications and can analyze existing code for tasks such as bug fixing ("Fix Traffic Light Code"), optimization ("Optimize Batch Code"), documentation generation, and code explanation (Section V, "Programmer Support"), but does not disclose using ChatGPT or any generative AI model to perform contextual analysis on existing control code of an industrial system project for the purpose of determining an industrial application or industrial vertical for which the project is being developed, and then using a result of that contextual analysis as a basis for generating new control code. The combination of Stump and Koziolek therefore fails to teach or suggest the limitation, as recited in each of independent claims 1, 11, and 19, of a generative AI component (or equivalent method/medium step) configured to perform contextual analysis on the existing control code to determine at least one of a type of industrial application or an industrial vertical for which the industrial system project is being developed, and to generate, using the generative AI model, generated control code based on a result of the contextual analysis. The §103 rejection is therefore withdrawn.
Claim Interpretation
The following is a quotation of 35 U.S.C. 112(f):
(f) Element in Claim for a Combination. – An element in a claim for a combination may be expressed as a means or step for performing a specified function without the recital of structure, material, or acts in support thereof, and such claim shall be construed to cover the corresponding structure, material, or acts described in the specification and equivalents thereof.
The following is a quotation of pre-AIA 35 U.S.C. 112, sixth paragraph:
An element in a claim for a combination may be expressed as a means or step for performing a specified function without the recital of structure, material, or acts in support thereof, and such claim shall be construed to cover the corresponding structure, material, or acts described in the specification and equivalents thereof.
This application includes one or more claim limitations that do not use the word “means,” but are nonetheless being interpreted under 35 U.S.C. 112(f) or pre-AIA 35 U.S.C. 112, sixth paragraph, because the claim limitation(s) uses a generic placeholder that is coupled with functional language without reciting sufficient structure to perform the recited function and the generic placeholder is not preceded by a structural modifier. Such claim limitations are: “a user interface component”, “a generative AI component”, “a project generation component” and “a project deployment component” in claim 1.
Because these claim limitations are being interpreted under 35 U.S.C. 112(f) or pre-AIA 35 U.S.C. 112, sixth paragraph, they are being interpreted to cover the corresponding structure described in the specification (e.g., paragraph [0026]) as performing the claimed function, and equivalents thereof.
If applicant does not intend to have these limitations interpreted under 35 U.S.C. 112(f) or pre-AIA 35 U.S.C. 112, sixth paragraph, applicant may: (1) amend the claim limitation(s) to avoid it/them being interpreted under 35 U.S.C. 112(f) or pre-AIA 35 U.S.C. 112, sixth paragraph (e.g., by reciting sufficient structure to perform the claimed function); or (2) present a sufficient showing that the claim limitation) recite sufficient structure to perform the claimed function so as to avoid it/them being interpreted under 35 U.S.C. 112(f) or pre-AIA 35 U.S.C. 112, sixth paragraph.
Claim Rejections - 35 USC § 112
The following is a quotation of 35 U.S.C. 112(b):
(b) CONCLUSION.—The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the inventor or a joint inventor regards as the invention.
The following is a quotation of 35 U.S.C. 112 (pre-AIA ), second paragraph:
The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the applicant regards as his invention.
Claims 8-9 and 11-20 are rejected under 35 U.S.C. 112(b) or 35 U.S.C. 112 (pre-AIA ), second paragraph, as being indefinite for failing to particularly point out and distinctly claim the subject matter which the inventor or a joint inventor (or for applications subject to pre-AIA 35 U.S.C. 112, the applicant), regards as the invention. Claim 8 is rejected as indefinite because the amendment to claim 1 has introduced terminology inconsistency. Claim 1 as amended recites "an industrial system project comprising existing control code in development," establishing "existing control code" as the formal term for control code already present in the industrial system project. Claim 8, which depends from claim 1, recites a second prompt "asking a question about previously written control code included as part of the industrial system project" and further recites "analysis of the previously written control code." The relationship between "previously written control code" of claim 8 and "existing control code" of claim 1 is unclear: it is ambiguous whether "previously written control code" refers to the same code recited as "existing control code" in claim 1 or to different code. Applicant is suggested to amend claim 8 to replace "previously written control code" with "the existing control code" in both occurrences in order to maintain consistent claim terminology.
Claim 9 is rejected as indefinite because the amendment to claim 1 has introduced a scope inconsistency. Claim 1 as amended recites that the generative AI component "performs contextual analysis on the existing control code to determine at least one of a type of industrial application or an industrial vertical for which the industrial system project is being developed," narrowing the recited contextual analysis to analysis performed on the existing control code. Claim 9, which depends from claim 1, recites generating one or more proposed modifications "based on analysis of the industrial system project and the result of the contextual analysis." It is unclear whether the recited "analysis of the industrial system project" in claim 9 refers to (a) the same contextual analysis recited in claim 1, which would conflict with claim 1's narrower recitation of "contextual analysis on the existing control code," or (b) a different and broader analysis performed in addition to the contextual analysis of claim 1, which lacks express antecedent basis and is therefore ambiguous. Applicant is suggested to clarify claim 9 by either (i) replacing "analysis of the industrial system project" with "the contextual analysis" so as to refer to the same analysis recited in claim 1, or (ii) introducing the additional analysis with proper antecedent basis (e.g., "a second analysis of the industrial system project").
Claim 11 (and similar for claim 19) recites "configuring, by the industrial IDE system, an industrial controller with the updated control code, wherein the configuring configures the industrial controller to monitor and control an industrial automation system in accordance with the one or more requirements defined by the prompt." The phrase "wherein the configuring configures the industrial controller" is circular and tautological, defining the recited "configuring" step by stating that the step itself "configures," and therefore fails to particularly point out and distinctly claim the subject matter that applicant regards as the invention. The corresponding limitation in system claim 1 from which method claim 11 is derived recites "wherein the updated control code configures the industrial controller to monitor and control an industrial automation system," which makes clear that the configuration is effected by the updated control code itself. Applicant is suggested to amend claim 11 to recite, for example, "configuring, by the industrial IDE system, an industrial controller with the updated control code, wherein the updated control code configures the industrial controller to monitor and control an industrial automation system in accordance with the one or more requirements defined by the prompt," in order to align with the corresponding limitation of claim 1 and to remove the circular phrasing.
Dependent claims 12-18 and 20 do not overcome the deficiency of the base claim and, therefore, are rejected for the same reasons as the base claim.
Double Patenting
The nonstatutory double patenting rejection is based on a judicially created doctrine grounded in public policy (a policy reflected in the statute) so as to prevent the unjustified or improper timewise extension of the “right to exclude” granted by a patent and to prevent possible harassment by multiple assignees. A nonstatutory double patenting rejection is appropriate where the conflicting claims are not identical, but at least one examined application claim is not patentably distinct from the reference claim(s) because the examined application claim is either anticipated by, or would have been obvious over, the reference claim(s). See, e.g., In re Berg, 140 F.3d 1428, 46 USPQ2d 1226 (Fed. Cir. 1998); In re Goodman, 11 F.3d 1046, 29 USPQ2d 2010 (Fed. Cir. 1993); In re Longi, 759 F.2d 887, 225 USPQ 645 (Fed. Cir. 1985); In re Van Ornum, 686 F.2d 937, 214 USPQ 761 (CCPA 1982); In re Vogel, 422 F.2d 438, 164 USPQ 619 (CCPA 1970); In re Thorington, 418 F.2d 528, 163 USPQ 644 (CCPA 1969).
A timely filed terminal disclaimer in compliance with 37 CFR 1.321(c) or 1.321(d) may be used to overcome an actual or provisional rejection based on nonstatutory double patenting provided the reference application or patent either is shown to be commonly owned with the examined application, or claims an invention made as a result of activities undertaken within the scope of a joint research agreement. See MPEP § 717.02 for applications subject to examination under the first inventor to file provisions of the AIA as explained in MPEP § 2159. See MPEP §§ 706.02(l)(1) - 706.02(l)(3) for applications not subject to examination under the first inventor to file provisions of the AIA . A terminal disclaimer must be signed in compliance with 37 CFR 1.321(b).
The USPTO Internet website contains terminal disclaimer forms which may be used. Please visit www.uspto.gov/patent/patents-forms. The filing date of the application in which the form is filed determines what form (e.g., PTO/SB/25, PTO/SB/26, PTO/AIA /25, or PTO/AIA /26) should be used. A web-based eTerminal Disclaimer may be filled out completely online using web-screens. An eTerminal Disclaimer that meets all requirements is auto-processed and approved immediately upon submission. For more information about eTerminal Disclaimers, refer to www.uspto.gov/patents/process/file/efs/guidance/eTD-info-I.jsp.
Claims 1-20 are rejected on the ground of nonstatutory double patenting as being unpatentable over claim 1 of co-pending application No. 18/645,628. Herein the independent claims are shown mapped to claim 1 of the co-pending application. The dependent claims are ODP in view of dependent claims of claim 1 or in view of the prior art used in the art rejection below associated with that dependent claim.
Instant Application 18/497,191
App. No. 18/645,628
Claim 1A system, comprising: a memory that stores executable components and a generative artificial intelligence (AI) model; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a user interface component configured to receive, as natural language input, a prompt comprising a request for control code to be generate for an industrial system project comprising existing control code in development, wherein the request specifies one or more requirements of the control code; a generative AI component configured to perform contextual analysis on the existing control code to determine at least one of a type of industrial application or an industrial vertical for which the industrial system project is being developed, and to generate, using the generative AI model, generated control code inferred to satisfy the one or more requirements based on analysis of the prompt and a result of the contextual analysis; a project generation component configured to integrate the generated control code into the industrial system project; anda project deployment component configured to send the updated control code to an industrial controller, wherein the updated control code configures the industrial controller to monitor and control an industrial automation system in accordance with the one or more requirements defined by the prompt.
Claim 1A system, comprising: a memory that stores executable components; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a user interface component configured to receive, from a client device as natural language input, a query describing a performance issue relating to an industrial automation system for which technical support is requested; and a generative artificial intelligence (AI) component configured to, in response to receipt of the query, formulate a prompt, directed to a generative AI model, designed to obtain a response from the generative AI model comprising information used by the generative AI component to generate a natural language technical support response describing a recommendation for addressing the performance issue, wherein the generative AI component generates the prompt based on analysis of the query and a selected subset of industrial training data encoded in one or more custom models, wherein the user interface component is configured to render the natural language technical support response on the client device.
Claim 11A method, comprising: receiving, as natural language input by an industrial integrated development environment (IDE) system comprising a processor, a prompt comprising a request for control code for an industrial system project comprising existing control code being developed, wherein the request specifies one or more requirements of the control code; performing, by the industrial IDE system using a generative artificial intelligence (AI) model, contextual analysis on the existing control code to determine at least one of a type of industrial application or an industrial vertical for which the industrial system project is being developed; generating, by the industrial IDE system using the generative AI model, generated control code determined to satisfy the one or more requirements based on analysis of the prompt and a result of the contextual analysis; integrating, by the industrial IDE system, the generated control code into the industrial system project to yield updated control code; and
configuring, by the industrial IDE system, an industrial controller with the updated control code, wherein the configuring configures the industrial controller to monitor and control an industrial automation system in accordance with the one or more requirements defined by the prompt.
Claim 1A system, comprising: a memory that stores executable components; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a user interface component configured to receive, from a client device as natural language input, a query describing a performance issue relating to an industrial automation system for which technical support is requested; and a generative artificial intelligence (AI) component configured to, in response to receipt of the query, formulate a prompt, directed to a generative AI model, designed to obtain a response from the generative AI model comprising information used by the generative AI component to generate a natural language technical support response describing a recommendation for addressing the performance issue, wherein the generative AI component generates the prompt based on analysis of the query and a selected subset of industrial training data encoded in one or more custom models, wherein the user interface component is configured to render the natural language technical support response on the client device.
Claim 19A non-transitory computer-readable medium having stored thereon instructions that, in response to execution, cause an industrial integrated development environment (IDE) system comprising a processor to perform operations, the operations comprising:receiving a natural language prompt requesting control code for an industrial system project comprising existing control code being developed, wherein the natural language prompt describes one or more requirements of the control code; performing, using a generative artificial intelligence (AI) model, contextual analysis on the existing control code to determine at least one of a type of industrial application or an industrial vertical for which the industrial system project is being developed; generating, using the generative AI model, generated control code that satisfies the one or more requirements based on analysis of the prompt and a result of the contextual analysis; integrating the generated control code into the industrial system project to yield updated control code; and
sending, by the industrial IDE system, the updated control code to an industrial controller, wherein the sending configures the industrial controller to monitor and control an industrial automation system in accordance with the one or more requirements defined by the prompt.
Claim 1A system, comprising: a memory that stores executable components; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a user interface component configured to receive, from a client device as natural language input, a query describing a performance issue relating to an industrial automation system for which technical support is requested; and a generative artificial intelligence (AI) component configured to, in response to receipt of the query, formulate a prompt, directed to a generative AI model, designed to obtain a response from the generative AI model comprising information used by the generative AI component to generate a natural language technical support response describing a recommendation for addressing the performance issue, wherein the generative AI component generates the prompt based on analysis of the query and a selected subset of industrial training data encoded in one or more custom models, wherein the user interface component is configured to render the natural language technical support response on the client device.
Claims 1-20 are rejected on the ground of nonstatutory double patenting as being unpatentable over claim 1 of cop ending application No. 18/614,925. Herein the independent claims are shown mapped to claim 1 of the co-related applications. The dependent claims are ODP in view of dependent claims of claim 1 or in view of the prior art used in the art rejection below associated with that dependent claim.
Instant Application 18/497,191
App. No. 18/614,925
Claim 1A system, comprising: a memory that stores executable components and a generative artificial intelligence (AI) model; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a user interface component configured to receive, as natural language input, a prompt comprising a request for control code to be generate for an industrial system project comprising existing control code in development, wherein the request specifies one or more requirements of the control code; a generative AI component configured to perform contextual analysis on the existing control code to determine at least one of a type of industrial application or an industrial vertical for which the industrial system project is being developed, and to generate, using the generative AI model, generated control code inferred to satisfy the one or more requirements based on analysis of the prompt and a result of the contextual analysis; a project generation component configured to integrate the generated control code into the industrial system project; anda project deployment component configured to send the updated control code to an industrial controller, wherein the updated control code configures the industrial controller to monitor and control an industrial automation system in accordance with the one or more requirements defined by the prompt.
Claim 1A system, comprising: a memory that stores executable components and one or more custom models; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a user interface component configured to render an integrated development environment (IDE) interface and to receive, via interaction with the IDE interface, industrial control code input that defines an industrial control program; and a project generation component configured to generate, based on the industrial control programming input, an executable control program file that, in response to execution on an industrial controller, causes the industrial controller to monitor and control an industrial automation system in accordance with the industrial control program, wherein the user interface component is further configured to receive a natural language request for control code to be included in the industrial control program, wherein the natural language request specifies one or more requirements of the control code, the executable components further comprise a generative artificial intelligence (AI) component configured to, in response to receipt of the natural language request, formulate a prompt, directed to a generative AI model, designed to obtain a response from the generative AI model comprising information used by the generative AI component to generate control code inferred to satisfy the one or more requirements, wherein the prompt is generated based on analysis of the natural language request and industry knowledge encoded in the one or more custom models, and the project generation component is further configured to integrate the control code into the industrial control program.
Claim 11A method, comprising: receiving, as natural language input by an industrial integrated development environment (IDE) system comprising a processor, a prompt comprising a request for control code for an industrial system project comprising existing control code being developed, wherein the request specifies one or more requirements of the control code; performing, by the industrial IDE system using a generative artificial intelligence (AI) model, contextual analysis on the existing control code to determine at least one of a type of industrial application or an industrial vertical for which the industrial system project is being developed; generating, by the industrial IDE system using the generative AI model, generated control code determined to satisfy the one or more requirements based on analysis of the prompt and a result of the contextual analysis; integrating, by the industrial IDE system, the generated control code into the industrial system project to yield updated control code; and
configuring, by the industrial IDE system, an industrial controller with the updated control code, wherein the configuring configures the industrial controller to monitor and control an industrial automation system in accordance with the one or more requirements defined by the prompt.
Claim 1A system, comprising: a memory that stores executable components and one or more custom models; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a user interface component configured to render an integrated development environment (IDE) interface and to receive, via interaction with the IDE interface, industrial control code input that defines an industrial control program; and a project generation component configured to generate, based on the industrial control programming input, an executable control program file that, in response to execution on an industrial controller, causes the industrial controller to monitor and control an industrial automation system in accordance with the industrial control program, wherein the user interface component is further configured to receive a natural language request for control code to be included in the industrial control program, wherein the natural language request specifies one or more requirements of the control code, the executable components further comprise a generative artificial intelligence (AI) component configured to, in response to receipt of the natural language request, formulate a prompt, directed to a generative AI model, designed to obtain a response from the generative AI model comprising information used by the generative AI component to generate control code inferred to satisfy the one or more requirements, wherein the prompt is generated based on analysis of the natural language request and industry knowledge encoded in the one or more custom models, and the project generation component is further configured to integrate the control code into the industrial control program.
Claim 19A non-transitory computer-readable medium having stored thereon instructions that, in response to execution, cause an industrial integrated development environment (IDE) system comprising a processor to perform operations, the operations comprising:receiving a natural language prompt requesting control code for an industrial system project comprising existing control code being developed, wherein the natural language prompt describes one or more requirements of the control code; performing, using a generative artificial intelligence (AI) model, contextual analysis on the existing control code to determine at least one of a type of industrial application or an industrial vertical for which the industrial system project is being developed; generating, using the generative AI model, generated control code that satisfies the one or more requirements based on analysis of the prompt and a result of the contextual analysis; integrating the generated control code into the industrial system project to yield updated control code; and
sending, by the industrial IDE system, the updated control code to an industrial controller, wherein the sending configures the industrial controller to monitor and control an industrial automation system in accordance with the one or more requirements defined by the prompt.
Claim 1A system, comprising: a memory that stores executable components and one or more custom models; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a user interface component configured to render an integrated development environment (IDE) interface and to receive, via interaction with the IDE interface, industrial control code input that defines an industrial control program; and a project generation component configured to generate, based on the industrial control programming input, an executable control program file that, in response to execution on an industrial controller, causes the industrial controller to monitor and control an industrial automation system in accordance with the industrial control program, wherein the user interface component is further configured to receive a natural language request for control code to be included in the industrial control program, wherein the natural language request specifies one or more requirements of the control code, the executable components further comprise a generative artificial intelligence (AI) component configured to, in response to receipt of the natural language request, formulate a prompt, directed to a generative AI model, designed to obtain a response from the generative AI model comprising information used by the generative AI component to generate control code inferred to satisfy the one or more requirements, wherein the prompt is generated based on analysis of the natural language request and industry knowledge encoded in the one or more custom models, and the project generation component is further configured to integrate the control code into the industrial control program.
Claims 1-20 are rejected on the ground of nonstatutory double patenting as being unpatentable over claim 1 of co-pending application No. 18/614,956. Herein the independent claims are shown mapped to claim 1 of the co-pending application. The dependent claims are ODP in view of dependent claims of claim 1 or in view of the prior art used in the art rejection below associated with that dependent claim.
Instant Application 18/497,191
App. No. 18/614,956
Claim 1A system, comprising: a memory that stores executable components and a generative artificial intelligence (AI) model; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a user interface component configured to receive, as natural language input, a prompt comprising a request for control code to be generate for an industrial system project comprising existing control code in development, wherein the request specifies one or more requirements of the control code; a generative AI component configured to perform contextual analysis on the existing control code to determine at least one of a type of industrial application or an industrial vertical for which the industrial system project is being developed, and to generate, using the generative AI model, generated control code inferred to satisfy the one or more requirements based on analysis of the prompt and a result of the contextual analysis; a project generation component configured to integrate the generated control code into the industrial system project; anda project deployment component configured to send the updated control code to an industrial controller, wherein the updated control code configures the industrial controller to monitor and control an industrial automation system in accordance with the one or more requirements defined by the prompt.
Claim 1A system, comprising: a memory that stores executable components and one or more custom models; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a user interface component configured to render a project development interface and to receive, via interaction with the project development interface, design input that defines aspects of an industrial system project, wherein the design input comprises natural language requests received via a chat interface; a generative artificial intelligence (AI) component configured to, in response to receipt of a first natural language request, of the natural language requests, describing one or more requirements of control code to be created as part of the industrial system project, generate control code inferred to satisfy the one or more requirements and create a smart object definition representing the control code, wherein the generative AI component is configured to generate the control code based on based on analysis of the first natural language request, industry-specific information encoded in the one or more custom models, and a response prompted from a generative AI model, and in response to receipt of a second natural language request, of the natural language requests, to allocate an instance of the smart object definition to a controller definition defined in the industrial system project and representing an industrial controller, record a binding between the instance of the smart object definition and the controller definition, wherein the binding configures the industrial system project to assign a copy of the control code associated with the smart object definition to the industrial controller represented by the controller definition; and a project generation component configured to generate, based on the design input, an executable control program file that, in response to execution on the industrial controller represented by the controller definition, configures the industrial controller in accordance with the controller definition and causes the industrial controller to monitor and control an industrial automation system in accordance with the control code.
Claim 11A method, comprising: receiving, as natural language input by an industrial integrated development environment (IDE) system comprising a processor, a prompt comprising a request for control code for an industrial system project comprising existing control code being developed, wherein the request specifies one or more requirements of the control code; performing, by the industrial IDE system using a generative artificial intelligence (AI) model, contextual analysis on the existing control code to determine at least one of a type of industrial application or an industrial vertical for which the industrial system project is being developed; generating, by the industrial IDE system using the generative AI model, generated control code determined to satisfy the one or more requirements based on analysis of the prompt and a result of the contextual analysis; integrating, by the industrial IDE system, the generated control code into the industrial system project to yield updated control code; and
configuring, by the industrial IDE system, an industrial controller with the updated control code, wherein the configuring configures the industrial controller to monitor and control an industrial automation system in accordance with the one or more requirements defined by the prompt.
Claim 1A system, comprising: a memory that stores executable components and one or more custom models; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a user interface component configured to render a project development interface and to receive, via interaction with the project development interface, design input that defines aspects of an industrial system project, wherein the design input comprises natural language requests received via a chat interface; a generative artificial intelligence (AI) component configured to, in response to receipt of a first natural language request, of the natural language requests, describing one or more requirements of control code to be created as part of the industrial system project, generate control code inferred to satisfy the one or more requirements and create a smart object definition representing the control code, wherein the generative AI component is configured to generate the control code based on based on analysis of the first natural language request, industry-specific information encoded in the one or more custom models, and a response prompted from a generative AI model, and in response to receipt of a second natural language request, of the natural language requests, to allocate an instance of the smart object definition to a controller definition defined in the industrial system project and representing an industrial controller, record a binding between the instance of the smart object definition and the controller definition, wherein the binding configures the industrial system project to assign a copy of the control code associated with the smart object definition to the industrial controller represented by the controller definition; and a project generation component configured to generate, based on the design input, an executable control program file that, in response to execution on the industrial controller represented by the controller definition, configures the industrial controller in accordance with the controller definition and causes the industrial controller to monitor and control an industrial automation system in accordance with the control code.
Claim 19A non-transitory computer-readable medium having stored thereon instructions that, in response to execution, cause an industrial integrated development environment (IDE) system comprising a processor to perform operations, the operations comprising:receiving a natural language prompt requesting control code for an industrial system project comprising existing control code being developed, wherein the natural language prompt describes one or more requirements of the control code; performing, using a generative artificial intelligence (AI) model, contextual analysis on the existing control code to determine at least one of a type of industrial application or an industrial vertical for which the industrial system project is being developed; generating, using the generative AI model, generated control code that satisfies the one or more requirements based on analysis of the prompt and a result of the contextual analysis; integrating the generated control code into the industrial system project to yield updated control code; and
sending, by the industrial IDE system, the updated control code to an industrial controller, wherein the sending configures the industrial controller to monitor and control an industrial automation system in accordance with the one or more requirements defined by the prompt.
Claim 1A system, comprising: a memory that stores executable components and one or more custom models; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a user interface component configured to render a project development interface and to receive, via interaction with the project development interface, design input that defines aspects of an industrial system project, wherein the design input comprises natural language requests received via a chat interface; a generative artificial intelligence (AI) component configured to, in response to receipt of a first natural language request, of the natural language requests, describing one or more requirements of control code to be created as part of the industrial system project, generate control code inferred to satisfy the one or more requirements and create a smart object definition representing the control code, wherein the generative AI component is configured to generate the control code based on based on analysis of the first natural language request, industry-specific information encoded in the one or more custom models, and a response prompted from a generative AI model, and in response to receipt of a second natural language request, of the natural language requests, to allocate an instance of the smart object definition to a controller definition defined in the industrial system project and representing an industrial controller, record a binding between the instance of the smart object definition and the controller definition, wherein the binding configures the industrial system project to assign a copy of the control code associated with the smart object definition to the industrial controller represented by the controller definition; and a project generation component configured to generate, based on the design input, an executable control program file that, in response to execution on the industrial controller represented by the controller definition, configures the industrial controller in accordance with the controller definition and causes the industrial controller to monitor and control an industrial automation system in accordance with the control code.
Claims 1-20 are rejected on the ground of nonstatutory double patenting as being unpatentable over claim 1 of co-pending application No. 18/952,567. Herein the independent claims are shown mapped to claim 1 of the pending application. The dependent claims are ODP in view of dependent claims of claim 1 or in view of the prior art used in the art rejection below associated with that dependent claim.
Instant Application 18/497,191
App. No. 18/952,567
Claim 1A system, comprising: a memory that stores executable components and a generative artificial intelligence (AI) model; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a user interface component configured to receive, as natural language input, a prompt comprising a request for control code to be generate for an industrial system project comprising existing control code in development, wherein the request specifies one or more requirements of the control code; a generative AI component configured to perform contextual analysis on the existing control code to determine at least one of a type of industrial application or an industrial vertical for which the industrial system project is being developed, and to generate, using the generative AI model, generated control code inferred to satisfy the one or more requirements based on analysis of the prompt and a result of the contextual analysis; a project generation component configured to integrate the generated control code into the industrial system project; anda project deployment component configured to send the updated control code to an industrial controller, wherein the updated control code configures the industrial controller to monitor and control an industrial automation system in accordance with the one or more requirements defined by the prompt.
Claim 1A system, comprising: a memory that stores executable components and one or more custom models; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a user interface component configured to render an integrated development environment (IDE) interface and to receive, via interaction with the IDE interface, a natural language request for control code to be included in an industrial control program, wherein the natural language request specifies one or more requirements of the control code; a generative artificial intelligence (AI) component configured to, in response to receipt of the natural language request: generate control code inferred to satisfy the one or more requirements based on content of the natural language request and responses prompted from a generative AI model, generate natural language documentation for the control code based on the content of the natural language request and the responses prompted from a generative AI model, and embed the natural language documentation into the control code; and a project generation component configured to generate, based on the control code, an executable control program file that, in response to execution on an industrial controller, causes the industrial controller to monitor and control an industrial automation system in accordance with the control code.
Claim 11A method, comprising: receiving, as natural language input by an industrial integrated development environment (IDE) system comprising a processor, a prompt comprising a request for control code for an industrial system project comprising existing control code being developed, wherein the request specifies one or more requirements of the control code; performing, by the industrial IDE system using a generative artificial intelligence (AI) model, contextual analysis on the existing control code to determine at least one of a type of industrial application or an industrial vertical for which the industrial system project is being developed; generating, by the industrial IDE system using the generative AI model, generated control code determined to satisfy the one or more requirements based on analysis of the prompt and a result of the contextual analysis; integrating, by the industrial IDE system, the generated control code into the industrial system project to yield updated control code; and
configuring, by the industrial IDE system, an industrial controller with the updated control code, wherein the configuring configures the industrial controller to monitor and control an industrial automation system in accordance with the one or more requirements defined by the prompt.
Claim 1A system, comprising: a memory that stores executable components and one or more custom models; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a user interface component configured to render an integrated development environment (IDE) interface and to receive, via interaction with the IDE interface, a natural language request for control code to be included in an industrial control program, wherein the natural language request specifies one or more requirements of the control code; a generative artificial intelligence (AI) component configured to, in response to receipt of the natural language request: generate control code inferred to satisfy the one or more requirements based on content of the natural language request and responses prompted from a generative AI model, generate natural language documentation for the control code based on the content of the natural language request and the responses prompted from a generative AI model, and embed the natural language documentation into the control code; and a project generation component configured to generate, based on the control code, an executable control program file that, in response to execution on an industrial controller, causes the industrial controller to monitor and control an industrial automation system in accordance with the control code.
Claim 19A non-transitory computer-readable medium having stored thereon instructions that, in response to execution, cause an industrial integrated development environment (IDE) system comprising a processor to perform operations, the operations comprising:receiving a natural language prompt requesting control code for an industrial system project comprising existing control code being developed, wherein the natural language prompt describes one or more requirements of the control code; performing, using a generative artificial intelligence (AI) model, contextual analysis on the existing control code to determine at least one of a type of industrial application or an industrial vertical for which the industrial system project is being developed; generating, using the generative AI model, generated control code that satisfies the one or more requirements based on analysis of the prompt and a result of the contextual analysis; integrating the generated control code into the industrial system project to yield updated control code; and
sending, by the industrial IDE system, the updated control code to an industrial controller, wherein the sending configures the industrial controller to monitor and control an industrial automation system in accordance with the one or more requirements defined by the prompt.
Claim 1A system, comprising: a memory that stores executable components and one or more custom models; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a user interface component configured to render an integrated development environment (IDE) interface and to receive, via interaction with the IDE interface, a natural language request for control code to be included in an industrial control program, wherein the natural language request specifies one or more requirements of the control code; a generative artificial intelligence (AI) component configured to, in response to receipt of the natural language request: generate control code inferred to satisfy the one or more requirements based on content of the natural language request and responses prompted from a generative AI model, generate natural language documentation for the control code based on the content of the natural language request and the responses prompted from a generative AI model, and embed the natural language documentation into the control code; and a project generation component configured to generate, based on the control code, an executable control program file that, in response to execution on an industrial controller, causes the industrial controller to monitor and control an industrial automation system in accordance with the control code.
Claims 1-20 are rejected on the ground of nonstatutory double patenting as being unpatentable over claim 1 of co-pending application No. 18/610,444. Herein the independent claims are shown mapped to claim 1 of the co-pending application. The dependent claims are ODP in view of dependent claims of claim 1 or in view of the prior art used in the art rejection below associated with that dependent claim.
Instant Application 18/497,191
App. No. 18/610,444
Claim 1A system, comprising: a memory that stores executable components and a generative artificial intelligence (AI) model; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a user interface component configured to receive, as natural language input, a prompt comprising a request for control code to be generate for an industrial system project comprising existing control code in development, wherein the request specifies one or more requirements of the control code; a generative AI component configured to perform contextual analysis on the existing control code to determine at least one of a type of industrial application or an industrial vertical for which the industrial system project is being developed, and to generate, using the generative AI model, generated control code inferred to satisfy the one or more requirements based on analysis of the prompt and a result of the contextual analysis; a project generation component configured to integrate the generated control code into the industrial system project; anda project deployment component configured to send the updated control code to an industrial controller, wherein the updated control code configures the industrial controller to monitor and control an industrial automation system in accordance with the one or more requirements defined by the prompt.
Claim 1A system, comprising: a memory that stores executable components and one or more custom models; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a user interface component configured to receive, via an integrated development environment (IDE) interface, a natural language query directed to industrial control code that, in response to execution on an industrial controller, causes the industrial controller to monitor and control an industrial automation system in accordance with the industrial control code; and a generative artificial intelligence (AI) component configured to, in response to receipt of the natural language query, generate a natural language answer to the natural language query based on analysis of the industrial control code, industry knowledge encoded in the one or more custom models, and a response prompted from a generative AI model comprising information used by the generative AI component to formulate the natural language answer, wherein the user interface component is configured to render the natural language answer on the IDE interface.
Claim 11A method, comprising: receiving, as natural language input by an industrial integrated development environment (IDE) system comprising a processor, a prompt comprising a request for control code for an industrial system project comprising existing control code being developed, wherein the request specifies one or more requirements of the control code; performing, by the industrial IDE system using a generative artificial intelligence (AI) model, contextual analysis on the existing control code to determine at least one of a type of industrial application or an industrial vertical for which the industrial system project is being developed; generating, by the industrial IDE system using the generative AI model, generated control code determined to satisfy the one or more requirements based on analysis of the prompt and a result of the contextual analysis; integrating, by the industrial IDE system, the generated control code into the industrial system project to yield updated control code; and
configuring, by the industrial IDE system, an industrial controller with the updated control code, wherein the configuring configures the industrial controller to monitor and control an industrial automation system in accordance with the one or more requirements defined by the prompt.
Claim 1A system, comprising: a memory that stores executable components and one or more custom models; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a user interface component configured to receive, via an integrated development environment (IDE) interface, a natural language query directed to industrial control code that, in response to execution on an industrial controller, causes the industrial controller to monitor and control an industrial automation system in accordance with the industrial control code; and a generative artificial intelligence (AI) component configured to, in response to receipt of the natural language query, generate a natural language answer to the natural language query based on analysis of the industrial control code, industry knowledge encoded in the one or more custom models, and a response prompted from a generative AI model comprising information used by the generative AI component to formulate the natural language answer, wherein the user interface component is configured to render the natural language answer on the IDE interface.
Claim 19A non-transitory computer-readable medium having stored thereon instructions that, in response to execution, cause an industrial integrated development environment (IDE) system comprising a processor to perform operations, the operations comprising:receiving a natural language prompt requesting control code for an industrial system project comprising existing control code being developed, wherein the natural language prompt describes one or more requirements of the control code; performing, using a generative artificial intelligence (AI) model, contextual analysis on the existing control code to determine at least one of a type of industrial application or an industrial vertical for which the industrial system project is being developed; generating, using the generative AI model, generated control code that satisfies the one or more requirements based on analysis of the prompt and a result of the contextual analysis; integrating the generated control code into the industrial system project to yield updated control code; and
sending, by the industrial IDE system, the updated control code to an industrial controller, wherein the sending configures the industrial controller to monitor and control an industrial automation system in accordance with the one or more requirements defined by the prompt.
Claim 1A system, comprising: a memory that stores executable components and one or more custom models; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a user interface component configured to receive, via an integrated development environment (IDE) interface, a natural language query directed to industrial control code that, in response to execution on an industrial controller, causes the industrial controller to monitor and control an industrial automation system in accordance with the industrial control code; and a generative artificial intelligence (AI) component configured to, in response to receipt of the natural language query, generate a natural language answer to the natural language query based on analysis of the industrial control code, industry knowledge encoded in the one or more custom models, and a response prompted from a generative AI model comprising information used by the generative AI component to formulate the natural language answer, wherein the user interface component is configured to render the natural language answer on the IDE interface.
Claims 1-20 are rejected on the ground of nonstatutory double patenting as being unpatentable over claim 1 of co-pending application No. 18/614,966. Herein the independent claims are shown mapped to claim 1 of the co-pending application. The dependent claims are ODP in view of dependent claims of claim 1 or in view of the prior art used in the art rejection below associated with that dependent claim.
Instant Application 18/497,191
App. No. 18/614,966
Claim 1A system, comprising: a memory that stores executable components and a generative artificial intelligence (AI) model; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a user interface component configured to receive, as natural language input, a prompt comprising a request for control code to be generate for an industrial system project comprising existing control code in development, wherein the request specifies one or more requirements of the control code; a generative AI component configured to perform contextual analysis on the existing control code to determine at least one of a type of industrial application or an industrial vertical for which the industrial system project is being developed, and to generate, using the generative AI model, generated control code inferred to satisfy the one or more requirements based on analysis of the prompt and a result of the contextual analysis; a project generation component configured to integrate the generated control code into the industrial system project; anda project deployment component configured to send the updated control code to an industrial controller, wherein the updated control code configures the industrial controller to monitor and control an industrial automation system in accordance with the one or more requirements defined by the prompt.
Claim 1A system, comprising: a memory that stores executable components and one or more custom models; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a user interface component configured to render an integrated development environment (IDE) interface and to receive, via interaction with the IDE interface, design input that defines aspects of an industrial system project; a project generation component configured to generate system project data based on the design input, the system project data comprising at least an industrial control program that, in response to execution on an industrial controller, causes the industrial controller to monitor and control an industrial automation system in accordance with the industrial control program; and a generative artificial intelligence (AI) component configured to formulate and send a prompt to a generative AI model in response to receipt of a natural language input, submitted via the IDE interface, comprising at least one of a request to generate a portion of the industrial system project or a question about the industrial system project, wherein the generative AI component formulates the prompt to obtain a response from the generative AI model comprising information used by the generative AI component to at least one of generate the portion of the industrial system project or generate a natural language answer to the question about the industrial system project, and the generative AI component formulates the prompt based on analysis of the natural language input and industry-specific information encoded in the one or more custom models.
Claim 11A method, comprising: receiving, as natural language input by an industrial integrated development environment (IDE) system comprising a processor, a prompt comprising a request for control code for an industrial system project comprising existing control code being developed, wherein the request specifies one or more requirements of the control code; performing, by the industrial IDE system using a generative artificial intelligence (AI) model, contextual analysis on the existing control code to determine at least one of a type of industrial application or an industrial vertical for which the industrial system project is being developed; generating, by the industrial IDE system using the generative AI model, generated control code determined to satisfy the one or more requirements based on analysis of the prompt and a result of the contextual analysis; integrating, by the industrial IDE system, the generated control code into the industrial system project to yield updated control code; and
configuring, by the industrial IDE system, an industrial controller with the updated control code, wherein the configuring configures the industrial controller to monitor and control an industrial automation system in accordance with the one or more requirements defined by the prompt.
Claim 1A system, comprising: a memory that stores executable components and one or more custom models; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a user interface component configured to render an integrated development environment (IDE) interface and to receive, via interaction with the IDE interface, design input that defines aspects of an industrial system project; a project generation component configured to generate system project data based on the design input, the system project data comprising at least an industrial control program that, in response to execution on an industrial controller, causes the industrial controller to monitor and control an industrial automation system in accordance with the industrial control program; and a generative artificial intelligence (AI) component configured to formulate and send a prompt to a generative AI model in response to receipt of a natural language input, submitted via the IDE interface, comprising at least one of a request to generate a portion of the industrial system project or a question about the industrial system project, wherein the generative AI component formulates the prompt to obtain a response from the generative AI model comprising information used by the generative AI component to at least one of generate the portion of the industrial system project or generate a natural language answer to the question about the industrial system project, and the generative AI component formulates the prompt based on analysis of the natural language input and industry-specific information encoded in the one or more custom models.
Claim 19A non-transitory computer-readable medium having stored thereon instructions that, in response to execution, cause an industrial integrated development environment (IDE) system comprising a processor to perform operations, the operations comprising:receiving a natural language prompt requesting control code for an industrial system project comprising existing control code being developed, wherein the natural language prompt describes one or more requirements of the control code; performing, using a generative artificial intelligence (AI) model, contextual analysis on the existing control code to determine at least one of a type of industrial application or an industrial vertical for which the industrial system project is being developed; generating, using the generative AI model, generated control code that satisfies the one or more requirements based on analysis of the prompt and a result of the contextual analysis; integrating the generated control code into the industrial system project to yield updated control code; and
sending, by the industrial IDE system, the updated control code to an industrial controller, wherein the sending configures the industrial controller to monitor and control an industrial automation system in accordance with the one or more requirements defined by the prompt.
Claim 1A system, comprising: a memory that stores executable components and one or more custom models; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a user interface component configured to render an integrated development environment (IDE) interface and to receive, via interaction with the IDE interface, design input that defines aspects of an industrial system project; a project generation component configured to generate system project data based on the design input, the system project data comprising at least an industrial control program that, in response to execution on an industrial controller, causes the industrial controller to monitor and control an industrial automation system in accordance with the industrial control program; and a generative artificial intelligence (AI) component configured to formulate and send a prompt to a generative AI model in response to receipt of a natural language input, submitted via the IDE interface, comprising at least one of a request to generate a portion of the industrial system project or a question about the industrial system project, wherein the generative AI component formulates the prompt to obtain a response from the generative AI model comprising information used by the generative AI component to at least one of generate the portion of the industrial system project or generate a natural language answer to the question about the industrial system project, and the generative AI component formulates the prompt based on analysis of the natural language input and industry-specific information encoded in the one or more custom models.
Claims 1-20 are rejected on the ground of nonstatutory double patenting as being unpatentable over claim 1 of co-pending application No. 18/610,486. Herein the independent claims are shown mapped to claim 1 of the co-pending application. The dependent claims are ODP in view of dependent claims of claim 1 or in view of the prior art used in the art rejection below associated with that dependent claim.
Instant Application 18/497,191
App. No. 18/610,486
Claim 1A system, comprising: a memory that stores executable components and a generative artificial intelligence (AI) model; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a user interface component configured to receive, as natural language input, a prompt comprising a request for control code to be generate for an industrial system project comprising existing control code in development, wherein the request specifies one or more requirements of the control code; a generative AI component configured to perform contextual analysis on the existing control code to determine at least one of a type of industrial application or an industrial vertical for which the industrial system project is being developed, and to generate, using the generative AI model, generated control code inferred to satisfy the one or more requirements based on analysis of the prompt and a result of the contextual analysis; a project generation component configured to integrate the generated control code into the industrial system project; anda project deployment component configured to send the updated control code to an industrial controller, wherein the updated control code configures the industrial controller to monitor and control an industrial automation system in accordance with the one or more requirements defined by the prompt.
Claim 1A system, comprising: a memory that stores executable components and one or more custom models; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a user interface component configured to receive, via an integrated development environment (IDE) interface, a natural language query directed to industrial control code that, in response to execution on an industrial controller, causes the industrial controller to monitor and control an industrial automation system in accordance with the industrial control code; and a generative artificial intelligence (AI) component configured to, in response to determining, based on analysis of the natural language query, that additional information will yield a response to the natural language query having a probability of satisfying the natural language query that exceeds a threshold, generate a first natural language response that prompts for the additional information and render the first natural language response via the user interface component, and in response to receipt, via the user interface component, of a natural language answer containing the additional information, generate a second natural language response to the natural language query based on analysis of the industrial control code, the natural language answer, industry knowledge encoded in the one or more custom models, and a response prompted from a generative AI model, wherein the response prompted from the generative AI model comprising information used by the generative AI component to formulate the second natural language response, wherein the user interface component is configured to render the second natural language response on the IDE interface.
Claim 11A method, comprising: receiving, as natural language input by an industrial integrated development environment (IDE) system comprising a processor, a prompt comprising a request for control code for an industrial system project comprising existing control code being developed, wherein the request specifies one or more requirements of the control code; performing, by the industrial IDE system using a generative artificial intelligence (AI) model, contextual analysis on the existing control code to determine at least one of a type of industrial application or an industrial vertical for which the industrial system project is being developed; generating, by the industrial IDE system using the generative AI model, generated control code determined to satisfy the one or more requirements based on analysis of the prompt and a result of the contextual analysis; integrating, by the industrial IDE system, the generated control code into the industrial system project to yield updated control code; and
configuring, by the industrial IDE system, an industrial controller with the updated control code, wherein the configuring configures the industrial controller to monitor and control an industrial automation system in accordance with the one or more requirements defined by the prompt.
Claim 1A system, comprising: a memory that stores executable components and one or more custom models; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a user interface component configured to receive, via an integrated development environment (IDE) interface, a natural language query directed to industrial control code that, in response to execution on an industrial controller, causes the industrial controller to monitor and control an industrial automation system in accordance with the industrial control code; and a generative artificial intelligence (AI) component configured to, in response to determining, based on analysis of the natural language query, that additional information will yield a response to the natural language query having a probability of satisfying the natural language query that exceeds a threshold, generate a first natural language response that prompts for the additional information and render the first natural language response via the user interface component, and in response to receipt, via the user interface component, of a natural language answer containing the additional information, generate a second natural language response to the natural language query based on analysis of the industrial control code, the natural language answer, industry knowledge encoded in the one or more custom models, and a response prompted from a generative AI model, wherein the response prompted from the generative AI model comprising information used by the generative AI component to formulate the second natural language response, wherein the user interface component is configured to render the second natural language response on the IDE interface.
Claim 19A non-transitory computer-readable medium having stored thereon instructions that, in response to execution, cause an industrial integrated development environment (IDE) system comprising a processor to perform operations, the operations comprising:receiving a natural language prompt requesting control code for an industrial system project comprising existing control code being developed, wherein the natural language prompt describes one or more requirements of the control code; performing, using a generative artificial intelligence (AI) model, contextual analysis on the existing control code to determine at least one of a type of industrial application or an industrial vertical for which the industrial system project is being developed; generating, using the generative AI model, generated control code that satisfies the one or more requirements based on analysis of the prompt and a result of the contextual analysis; integrating the generated control code into the industrial system project to yield updated control code; and
sending, by the industrial IDE system, the updated control code to an industrial controller, wherein the sending configures the industrial controller to monitor and control an industrial automation system in accordance with the one or more requirements defined by the prompt.
Claim 1A system, comprising: a memory that stores executable components and one or more custom models; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a user interface component configured to receive, via an integrated development environment (IDE) interface, a natural language query directed to industrial control code that, in response to execution on an industrial controller, causes the industrial controller to monitor and control an industrial automation system in accordance with the industrial control code; and a generative artificial intelligence (AI) component configured to, in response to determining, based on analysis of the natural language query, that additional information will yield a response to the natural language query having a probability of satisfying the natural language query that exceeds a threshold, generate a first natural language response that prompts for the additional information and render the first natural language response via the user interface component, and in response to receipt, via the user interface component, of a natural language answer containing the additional information, generate a second natural language response to the natural language query based on analysis of the industrial control code, the natural language answer, industry knowledge encoded in the one or more custom models, and a response prompted from a generative AI model, wherein the response prompted from the generative AI model comprising information used by the generative AI component to formulate the second natural language response, wherein the user interface component is configured to render the second natural language response on the IDE interface.
Claims 1-20 are rejected on the ground of nonstatutory double patenting as being unpatentable over claim 1 of co-pending application No. 18/607,750. Herein the independent claims are shown mapped to claim 1 of the co-pending application. The dependent claims are ODP in view of dependent claims of claim 1 or in view of the prior art used in the art rejection below associated with that dependent claim.
Instant Application 18/497,191
App. No. 18/607,750
Claim 1A system, comprising: a memory that stores executable components and a generative artificial intelligence (AI) model; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a user interface component configured to receive, as natural language input, a prompt comprising a request for control code to be generate for an industrial system project comprising existing control code in development, wherein the request specifies one or more requirements of the control code; a generative AI component configured to perform contextual analysis on the existing control code to determine at least one of a type of industrial application or an industrial vertical for which the industrial system project is being developed, and to generate, using the generative AI model, generated control code inferred to satisfy the one or more requirements based on analysis of the prompt and a result of the contextual analysis; a project generation component configured to integrate the generated control code into the industrial system project; anda project deployment component configured to send the updated control code to an industrial controller, wherein the updated control code configures the industrial controller to monitor and control an industrial automation system in accordance with the one or more requirements defined by the prompt.
Claim 1A system, comprising: a memory that stores executable components and one or more custom models; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a user interface component configured to receive, via an integrated development environment (IDE) interface, a natural language request to generate new control code for inclusion in an industrial control program being developed using the IDE interface as part of an industrial control project, wherein the natural language request describes one or more requirements of the new control code; a generative artificial intelligence (AI) component configured to, in response to receipt of the natural language request, generate control code inferred to satisfy the one or more requirements based on based on analysis of the natural language request, industry-specific information encoded in the one or more custom models, and a response prompted from a generative AI model; and a project generation component is further configured to integrate the control code into the industrial control program and to generate an executable control program file that, in response to execution on an industrial controller, causes the industrial controller to monitor and control an industrial automation system in accordance with the industrial control program.
Claim 11A method, comprising: receiving, as natural language input by an industrial integrated development environment (IDE) system comprising a processor, a prompt comprising a request for control code for an industrial system project comprising existing control code being developed, wherein the request specifies one or more requirements of the control code; performing, by the industrial IDE system using a generative artificial intelligence (AI) model, contextual analysis on the existing control code to determine at least one of a type of industrial application or an industrial vertical for which the industrial system project is being developed; generating, by the industrial IDE system using the generative AI model, generated control code determined to satisfy the one or more requirements based on analysis of the prompt and a result of the contextual analysis; integrating, by the industrial IDE system, the generated control code into the industrial system project to yield updated control code; and
configuring, by the industrial IDE system, an industrial controller with the updated control code, wherein the configuring configures the industrial controller to monitor and control an industrial automation system in accordance with the one or more requirements defined by the prompt.
Claim 1A system, comprising: a memory that stores executable components and one or more custom models; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a user interface component configured to receive, via an integrated development environment (IDE) interface, a natural language request to generate new control code for inclusion in an industrial control program being developed using the IDE interface as part of an industrial control project, wherein the natural language request describes one or more requirements of the new control code; a generative artificial intelligence (AI) component configured to, in response to receipt of the natural language request, generate control code inferred to satisfy the one or more requirements based on based on analysis of the natural language request, industry-specific information encoded in the one or more custom models, and a response prompted from a generative AI model; and a project generation component is further configured to integrate the control code into the industrial control program and to generate an executable control program file that, in response to execution on an industrial controller, causes the industrial controller to monitor and control an industrial automation system in accordance with the industrial control program.
Claim 19A non-transitory computer-readable medium having stored thereon instructions that, in response to execution, cause an industrial integrated development environment (IDE) system comprising a processor to perform operations, the operations comprising:receiving a natural language prompt requesting control code for an industrial system project comprising existing control code being developed, wherein the natural language prompt describes one or more requirements of the control code; performing, using a generative artificial intelligence (AI) model, contextual analysis on the existing control code to determine at least one of a type of industrial application or an industrial vertical for which the industrial system project is being developed; generating, using the generative AI model, generated control code that satisfies the one or more requirements based on analysis of the prompt and a result of the contextual analysis; integrating the generated control code into the industrial system project to yield updated control code; and
sending, by the industrial IDE system, the updated control code to an industrial controller, wherein the sending configures the industrial controller to monitor and control an industrial automation system in accordance with the one or more requirements defined by the prompt.
Claim 1A system, comprising: a memory that stores executable components and one or more custom models; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a user interface component configured to receive, via an integrated development environment (IDE) interface, a natural language request to generate new control code for inclusion in an industrial control program being developed using the IDE interface as part of an industrial control project, wherein the natural language request describes one or more requirements of the new control code; a generative artificial intelligence (AI) component configured to, in response to receipt of the natural language request, generate control code inferred to satisfy the one or more requirements based on based on analysis of the natural language request, industry-specific information encoded in the one or more custom models, and a response prompted from a generative AI model; and a project generation component is further configured to integrate the control code into the industrial control program and to generate an executable control program file that, in response to execution on an industrial controller, causes the industrial controller to monitor and control an industrial automation system in accordance with the industrial control program.
Allowable Subject Matter
The subject matter of claims 1-20 would be allowable upon (i) resolution of the 112(b) rejections of claims 8-9 and 11-20 set forth above and (ii) filing of terminal disclaimers in compliance with 37 CFR 1.321(c) or 1.321(d) to overcome the nonstatutory obviousness-type double patenting rejections above.
The reasons that the substantive scope of claims 1-20 is otherwise allowable over the prior art of record are set forth in the discussion of the withdrawn 103 rejection above (see response to amendments). In summary, the combination of Stump and Koziolek does not teach or suggest the limitation of a generative AI component configured to perform contextual analysis on the existing control code of the current industrial system project to determine at least one of a type of industrial application or an industrial vertical for which the industrial system project is being developed, and to generate, using the generative AI model, generated control code based on a result of that contextual analysis. No additional reference, alone or in reasonable combination with Stump or Koziolek, has been found that cures this deficiency.
Conclusion
Applicant's amendment necessitated the new ground(s) of rejection presented in this Office action. Accordingly, THIS ACTION IS MADE FINAL. See MPEP § 706.07(a). Applicant is reminded of the extension of time policy as set forth in 37 CFR 1.136(a).
A shortened statutory period for reply to this final action is set to expire THREE MONTHS from the mailing date of this action. In the event a first reply is filed within TWO MONTHS of the mailing date of this final action and the advisory action is not mailed until after the end of the THREE-MONTH shortened statutory period, then the shortened statutory period will expire on the date the advisory action is mailed, and any nonprovisional extension fee (37 CFR 1.17(a)) pursuant to 37 CFR 1.136(a) will be calculated from the mailing date of the advisory action. In no event, however, will the statutory period for reply expire later than SIX MONTHS from the mailing date of this final action.
Any inquiry concerning this communication or earlier communications from the examiner should be directed to ANIBAL RIVERACRUZ whose telephone number is (571)270-1200. The examiner can normally be reached Monday-Friday 9:30 AM-6:00 PM.
Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice.
If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Hyung S Sough can be reached at 5712726799. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300.
Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000.
/ANIBAL RIVERACRUZ/Primary Examiner, Art Unit 2192
Prosecution Insights