DETAILED ACTION
This is in response to the applicant’s communication filed on 1/6/25 wherein:
Claims 1-7 are currently pending.
Notice of Pre-AIA or AIA Status
The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA .
Priority
Acknowledgment is made of applicant’s claim for foreign priority under 35 U.S.C. 119 (a)-(d) to CN202410946558.2, filed 7/15/24. Receipt is acknowledged of certified copies of papers required by 37 CFR 1.55.
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:
obtaining, by a synchronous publishing system of multimodal historical data, a first data source and a second data source (claim 1);
performing, by an AI-driven modeling system of multimodal data, quantitative modeling on the first data source, to obtain a model set (claim 1),
implementing, by an Al control system of an end-side multiple-input multiple-output loop, a closed-loop operation of the Al control system of an end-side multiple-input multiple-output loop (claim 1),
implementing, by an Al control system for edge-side safety isolation, closed-loop control of a virtual controlled-object of an edge-side physical isolation mechanism by the second data source (claim 1),
implementing, by an Al optimization system for cloud-side safety isolation, closed-loop optimization for the virtual controlled-object based on a cloud-side forward and reverse safety isolation mechanism (claim 1),
evaluating, by an Al technology evaluation system, the AI-driven modeling system of multimodal data, the Al control system of an end-side multiple-input multiple-output loop, the Al control system for edge-side safety isolation, the Al optimization system for cloud-side safety isolation, to obtain a final evaluation result (claim 1),
a network time synchronization service subsystem configured to unify clock signals, and a subsystem for publishing historical structural data, a subsystem for publishing a historical left grate flame video, and a subsystem for publishing a historical right grate flame video (claim 2),
a subsystem for structural modeling processing on multimodal data, a difficultly-to-be- measured parameter detection subsystem, a key process parameter prediction subsystem, a combustion state recognition subsystem, a combustion line state quantification subsystem, an environmental index optimization modeling subsystem, and a manipulated variable optimization modeling subsystem; and the subsystem for structural modeling processing on multimodal data is configured to perform physical feature extraction and neural network feature extraction on the first data source, to obtain multimodal structural data, the difficultly-to-be-measured parameter detection subsystem is configured to construct the detection model based on the multimodal structural data, the key process parameter prediction subsystem is configured to construct the prediction model based on the multimodal structural data, the combustion state recognition subsystem is configured to construct the recognition model based on the multimodal structural data, the combustion line state quantification subsystem is configured to construct the combustion line quantification model based on the multimodal structural data, the environmental index optimization modeling subsystem is configured to construct the first optimization model based on the multimodal structural data, and the manipulated variable optimization modeling subsystem is configured to construct the second optimization model based on the multimodal structural data (claim 3),
the subsystem for aid decision-making of an operation parameter is configured to: acquire an operation parameter, and transmit the operation parameter to the process monitoring subsystem, the process monitoring subsystem is configured to perform multi-loop AI control on the operation parameter, the loop control subsystem is configured to implement a plurality of different types of loop control programs, and the virtual controlled-object subsystem is configured to simulate an actuator, a controlled- object, and an instrumentation device of an MSWI process that is difficult to be constructed in a laboratory (claim 4),
the subsystem for forward isolation for edge-side data acquisition is configured to: acquire structural data, and publish the structural data to the edge-side AI-enabled safety control subsystem, the edge-side AI-enabled control subsystem is configured to transmit structural data processed by an Al algorithm to the subsystem for reverse transmission of an edge-side operation parameter, and the subsystem for reverse transmission of an edge-side operation parameter is configured to output the structural data to the subsystem for aid decision-making of an operation parameter (claim 5),
the subsystem for evaluation of an AI-driven modeling algorithm for multimodal data is configured to: evaluate the AI-driven modeling system of multimodal data, to obtain a first evaluation sub-result, the subsystem for evaluation of an end-side Al control algorithm for multiple types of furnaces is configured to: evaluate the Al control system of an end-side multiple-input multiple- output loop, to obtain a second evaluation sub-result, the subsystem for evaluation of an edge-side Al control algorithm for multiple types of furnaces is configured to: evaluate the Al control system for edge-side safety isolation, to obtain a third evaluation sub-result, the subsystem for evaluation of a cloud-side Al optimization algorithm for multiple types of furnaces is configured to evaluate the Al optimization system for cloud-side safety isolation, to obtain a fourth evaluation sub-result, and the subsystem for comprehensive evaluation of an Al technology for municipal solid waste incineration is configured to obtain a final evaluation result based on the first evaluation sub- result, the second evaluation sub-result, the third evaluation sub-result, and the fourth evaluation sub-result (claim 6)
Because this/these claim limitation(s) is/are being interpreted under 35 U.S.C. 112(f) or pre-AIA 35 U.S.C. 112, sixth paragraph, it/they is/are being interpreted to cover the corresponding structure described in the specification as performing the claimed function, and equivalents thereof.
If applicant does not intend to have this/these limitation(s) 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(s) recite(s) 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 § 101
35 U.S.C. 101 reads as follows:
Whoever invents or discovers any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof, may obtain a patent therefor, subject to the conditions and requirements of this title.
Claims 1-7 are rejected under 35 U.S.C. 101 because the claimed invention is directed to an abstract idea without significantly more.
Step 1: Claim 1 recites a method and therefore, falls into a statutory category.
Step 2A – Prong 1 (Is a Judicial Exception Recited?): The following underlined limitations identify the abstract limitations which are considered mental processes
obtaining, by a synchronous publishing system of multimodal historical data, a first data source and a second data source, wherein the first data source and the second data source both comprise: environmental index data, a controlled variable, a manipulated variable, left grate flame video data, and right grate flame video data, and wherein the environmental index data comprises amounts of SO2, NOx, CO, and CO2 in a incineration process, the controlled variable comprises a trace pollutant, a furnace temperature, and a flame combustion state, and the manipulated variable comprises a feed rate, a grate speed, a primary/secondary air volume, and an air temperature,
performing, by an AI-driven modeling system of multimodal data, quantitative modeling on the first data source, to obtain a model set, wherein the model set comprises: a detection model, a prediction model, a recognition model, a combustion line quantification model, a first optimization model, and a second optimization model,
implementing, by an Al control system of an end-side multiple-input multiple-output loop, a closed-loop operation of the Al control system of an end-side multiple-input multiple-output loop,
implementing, by an Al control system for edge-side safety isolation, closed-loop control of a virtual controlled-object of an edge-side physical isolation mechanism by the second data source,
implementing, by an Al optimization system for cloud-side safety isolation, closed-loop optimization for the virtual controlled-object based on a cloud-side forward and reverse safety isolation mechanism,
evaluating, by an Al technology evaluation system, the AI-driven modeling system of multimodal data, the Al control system of an end-side multiple-input multiple-output loop, the Al control system for edge-side safety isolation, the Al optimization system for cloud-side safety isolation, to obtain a final evaluation result; and
based on the final evaluation result, uninterruptedly monitoring and adjusting, by the Al technology evaluation system, the incineration process to reduce discharged pollutants;
wherein the AI-driven modeling system of multimodal data, the Al control system of an end-side multiple-input multiple-output loop, the Al control system for edge-side safety isolation, and the Al optimization system for cloud-side safety isolation are all connected to the Al technology evaluation system, and the AI-driven modeling system of multimodal data is connected to the Al optimization system for cloud-side safety isolation and the synchronous publishing system of multimodal historical data, the synchronous publishing system of multimodal historical data is connected to the Al control system for edge-side safety isolation, and the Al control system for edge-side safety isolation is connected to the Al control system of an end-side multiple-input multiple-output loop and the Al optimization system for cloud-side safety isolation
These limitations constitute evaluating, monitoring, and adjusting a process, which are processes that, under their broadest reasonable interpretation, cover performance of the limitations in the mind but for the recitation of generic computer components. That is, other than reciting that the method is performed by a synchronous publishing system of multimodal historical data, an AI technology evaluation system, the AI-driven modeling system of multimodal data, the Al control system of an end-side multiple-input multiple-output loop, the Al control system for edge-side safety isolation, the Al optimization system for cloud-side safety isolation, nothing in the claim elements precludes the step from practically being performed in the mind. Examiner notes that the “adjusting” could include one person telling another person to perform some action. If a claim limitation, under its broadest reasonable interpretation, covers performance of the limitation in the mind but for the recitation of generic computer components, then it falls within the “Mental Processes” grouping of abstract ideas. Accordingly, the claim recites an abstract idea.
Step 2A-Prong 2 (Is the Exception Integrated into a Practical Application?): This judicial exception is not integrated into a practical application. In particular, the claim recites the additional elements of a synchronous publishing system of multimodal historical data, an AI technology evaluation system, the AI-driven modeling system of multimodal data, the Al control system of an end-side multiple-input multiple-output loop, the Al control system for edge-side safety isolation, and the Al optimization system for cloud-side safety isolation. The computer is recited at a high-level of generality (i.e., as a generic processing device performing generic computer functions), such that it amounts to no more than mere instructions to apply the exception using a generic computer component. Additionally, the obtaining limitation may be considered insignificant extra-solution activity (see MPEP 2106.05(g)). Accordingly, the additional elements do not integrate the abstract idea into a practical application because it does not impose any meaningful limits on practicing the abstract idea when considered both individually and as a whole. The claim is directed to an abstract idea.
The limitations reciting:
implementing, by an Al control system of an end-side multiple-input multiple-output loop, a closed-loop operation of the Al control system of an end-side multiple-input multiple-output loop,
implementing, by an Al control system for edge-side safety isolation, closed-loop control of a virtual controlled-object of an edge-side physical isolation mechanism by the second data source,
implementing, by an Al optimization system for cloud-side safety isolation, closed-loop optimization for the virtual controlled-object based on a cloud-side forward and reverse safety isolation mechanism,
wherein the AI-driven modeling system of multimodal data, the Al control system of an end-side multiple-input multiple-output loop, the Al control system for edge-side safety isolation, and the Al optimization system for cloud-side safety isolation are all connected to the Al technology evaluation system, and the AI-driven modeling system of multimodal data is connected to the Al optimization system for cloud-side safety isolation and the synchronous publishing system of multimodal historical data, the synchronous publishing system of multimodal historical data is connected to the Al control system for edge-side safety isolation, and the Al control system for edge-side safety isolation is connected to the Al control system of an end-side multiple-input multiple-output loop and the Al optimization system for cloud-side safety isolation
provide nothing more than mere instructions to implement an abstract idea on a generic computer. See MPEP 2106.05(f). MPEP 2106.05(f) provides the following considerations for determining whether a claim simply recites a judicial exception with the words “apply it” (or an equivalent), such as mere instructions to implement an abstract idea on a computer: (1) whether the claim recites only the idea of a solution or outcome i.e., the claim fails to recite details of how a solution to a problem is accomplished; (2) whether the claim invokes computers or other machinery merely as a tool to perform an existing process; and (3) the particularity or generality of the application of the judicial exception. Here, the claim limitations fail to recite details of how the solution is performed and therefore, recite only the idea of a solution or outcome. See MPEP 2106.05(f).
Even when viewed in combination, these additional elements do not integrate the recited judicial exception into a practical application, and the claim is directed to the judicial exception.
Step 2B (Does the claim recite additional elements that amount to Significantly More than the Judicial Exception?): The claims do not include additional elements that are sufficient to amount to significantly more than the judicial exception. As discussed above with respect to integration of the abstract idea into a practical application, the additional element of using a computer to perform the steps of the abstract idea amount to no more than mere instructions to apply the exception using a generic computer component. Further, the claims simply append well-understood, routine, and conventional (WURC) activities previously known to the industry, specified at a high level of generality, to the judicial exception, in the form of the extra-solution activity. The courts have recognized that the computer functions claimed (the obtaining limitation) as WURC (see 2106.05(d), identifying receiving or transmitting data over a network as WURC, as recognized by Symantec). Mere instructions to apply an exception using a generic computer component cannot provide an inventive concept. The claim is not patent eligible, as when viewed individually, and as a whole, nothing in the claim adds significantly more to the abstract idea.
Claim 2 further recites the additional elements of a network time synchronization service subsystem, and a subsystem for publishing historical structural data, a subsystem for publishing a historical left grate flame video, and a subsystem for publishing a historical right grate flame video, which are recited at a high-level of generality such that they amount to no more than mere instructions to apply the exception using a generic computer component. Even in combination, these additional elements do not integrate the abstract idea into a practical application and do not amount to significantly more than the abstract idea itself. The claims are ineligible.
Claim 3 further recites the additional elements of a subsystem for structural modeling processing on multimodal data, a difficultly-to-be- measured parameter detection subsystem, a key process parameter prediction subsystem, a combustion state recognition subsystem, a combustion line state quantification subsystem, an environmental index optimization modeling subsystem, and a manipulated variable optimization modeling subsystem, which are recited at a high-level of generality such that they amount to no more than mere instructions to apply the exception using a generic computer component. Even in combination, these additional elements do not integrate the abstract idea into a practical application and do not amount to significantly more than the abstract idea itself. The claims are ineligible.
Claim 4 further recites the additional elements of a subsystem for aid decision-making of an operation parameter, a process monitoring subsystem, a loop control subsystem, and a virtual controlled-object subsystem, which are recited at a high-level of generality such that they amount to no more than mere instructions to apply the exception using a generic computer component. Even in combination, these additional elements do not integrate the abstract idea into a practical application and do not amount to significantly more than the abstract idea itself. The claims are ineligible.
Claim 5 further recites the additional elements of a subsystem for forward isolation for edge-side data acquisition, an edge-side AI-enabled control subsystem, and a subsystem for reverse transmission of an edge-side operation parameter, which are recited at a high-level of generality such that they amount to no more than mere instructions to apply the exception using a generic computer component. Even in combination, these additional elements do not integrate the abstract idea into a practical application and do not amount to significantly more than the abstract idea itself. The claims are ineligible.
Claim 6 further recites the additional elements of a subsystem for comprehensive evaluation of an Al technology for municipal solid waste incineration, a subsystem for evaluation of an AI-driven modeling algorithm for multimodal data, a subsystem for evaluation of a cloud-side Al optimization algorithm for multiple types of furnaces, a subsystem for evaluation of an edge-side Al control algorithm for multiple types of furnaces, and a subsystem for evaluation of an end-side Al control algorithm for multiple types of furnaces, which are recited at a high-level of generality such that they amount to no more than mere instructions to apply the exception using a generic computer component. Even in combination, these additional elements do not integrate the abstract idea into a practical application and do not amount to significantly more than the abstract idea itself. The claims are ineligible.
Claim 7 further recites the additional elements of at least one processor and a memory, which are recited at a high-level of generality such that they amount to no more than mere instructions to apply the exception using a generic computer component. Even in combination, these additional elements do not integrate the abstract idea into a practical application and do not amount to significantly more than the abstract idea itself. The claims are ineligible.
In light of the detailed explanation and evidence provided above, the Examiner asserts that the claimed invention, when the limitations are considered individually and as whole, is directed towards an abstract idea.
Claim Rejections - 35 USC § 112
The following is a quotation of 35 U.S.C. 112(a):
(a) IN GENERAL.—The specification shall contain a written description of the invention, and of the manner and process of making and using it, in such full, clear, concise, and exact terms as to enable any person skilled in the art to which it pertains, or with which it is most nearly connected, to make and use the same, and shall set forth the best mode contemplated by the inventor or joint inventor of carrying out the invention.
The following is a quotation of 35 U.S.C. 112 (pre-AIA ), first paragraph:
The specification shall contain a written description of the invention, and of the manner and process of making and using it, in such full, clear, concise, and exact terms as to enable any person skilled in the art to which it pertains, or with which it is most nearly connected, to make and use the same and shall set forth the best mode contemplated by the inventor of carrying out his invention.
Claims 1-7 are rejected under 35 U.S.C. 112(a) or 35 U.S.C. 112 (pre-AIA ), first paragraph, as failing to comply with the written description requirement. The claim(s) contains subject matter which was not described in the specification in such a way as to reasonably convey to one skilled in the relevant art that the inventor or a joint inventor, or for pre-AIA the inventor(s), at the time the application was filed, had possession of the claimed invention.
Claim 1 refers to:
performing, by an AI-driven modeling system of multimodal data, quantitative modeling on the first data source, to obtain a model set, wherein the model set comprises: a detection model, a prediction model, a recognition model, a combustion line quantification model, a first optimization model, and a second optimization model,
implementing, by an Al control system of an end-side multiple-input multiple-output loop, a closed-loop operation of the Al control system of an end-side multiple-input multiple-output loop,
implementing, by an Al control system for edge-side safety isolation, closed-loop control of a virtual controlled-object of an edge-side physical isolation mechanism by the second data source,
implementing, by an Al optimization system for cloud-side safety isolation, closed-loop optimization for the virtual controlled-object based on a cloud-side forward and reverse safety isolation mechanism,
evaluating, by an Al technology evaluation system, the AI-driven modeling system of multimodal data, the Al control system of an end-side multiple-input multiple-output loop, the Al control system for edge-side safety isolation, the Al optimization system for cloud-side safety isolation, to obtain a final evaluation result; and
based on the final evaluation result, uninterruptedly monitoring and adjusting, by the Al technology evaluation system, the incineration process to reduce discharged pollutants;
but it is unclear how each step is accomplished. This appears to be an end result without an explanation of how to accomplish this step. The Specification does not describe how the AI-driven modeling system performs the modeling to obtain a model set. The Specification does not provide any details regarding the AI-driven modeling system or the modeling. They are only recited at a high level. No specific modeling system is described. No specific type of AI modeling is identified. Further, the Specification does not provide any details regarding the AI control system of an end-side MIMO loop, or how the AI control system implements closed-loop operation. No details are described regarding the structure of the AI control system. Further still, the Specification does not provide any details as to how the AI control system for edge-side safety isolation implements closed-loop control of a virtual controlled-object. Again, no specific structure is described regarding the AI control system. Yet further, the Specification does not provide any details as to how the AI optimization system for cloud-side safety isolation functions. No specific structure or other details are provided. Further again, the Specification does not provide any details regarding the AI technology system and how the evaluating is performed to obtain a final evaluation result. No equations or other algorithm is provided regarding how to obtain the result. Finally, the Specification does not provide any details as to how the final evaluation result is applied to the incineration process in order to achieve the reduced discharged pollutants. It is also not clear as to how much of a reduction would be considered “reduced.”
When examining computer implemented, functional claims, examiners should determine whether the specification discloses the computer and the algorithm (e.g., the necessary steps and/or flowcharts) that perform the claimed function in sufficient detail such that one of ordinary skill in the art can reasonably conclude that the inventor invented the claimed subject matter. Specifically, if one skilled in the art would know how to program the disclosed computer to perform the necessary steps described in the specification to achieve the claimed function and the inventor was in possession of that knowledge, the written description requirement would be satisfied. If the specification does not provide a disclosure of the computer and algorithm in sufficient detail to demonstrate to one of ordinary skill in the art that the inventor possessed the invention including how to program the disclosed computer to perform the claimed function, a rejection under § 112, ¶1 for lack of written description must be made. For more information regarding the written description requirement, see MPEP §2161.01–2163.07(b). In this case, applicant’s specification does not disclose an algorithm for performing the function in sufficient detail such that one of ordinary skill in the art can reasonably conclude that the inventor invented the claimed subject matter.
Claims 1-7 refer to using AI to accomplish the claimed steps (claims 1-6) or as part of the system claimed (claim 7). At most, the specification discloses generic computing technology. However, for a specific function, the specification must disclose the computer and the algorithm (e.g., the necessary steps and/or flowcharts) that perform the claimed function in sufficient detail such that one of ordinary skill can reasonably conclude that the inventor invented the claimed subject matter. It is not sufficient that one of ordinary skill in the art is capable of writing the software/program to achieve the claimed function. There must be an explanation of how the computer or component performs the claimed function. Here, the claimed functions appear to be specific functions that require a special purpose computer to perform, and the Specification fails to disclose the corresponding structure and algorithm required to perform the claimed functions. As such, applicant has not met the requirements of 35 USC §112, first paragraph.
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 1-7 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 pre-AIA the applicant regards as the invention.
The claims refer to using AI/computing technology to accomplish the claimed steps (claims 1-6) or as part of the system claimed (claim 7). However, the Specification does not disclose the specific AI/computing technology and the algorithm (e.g., the necessary steps and/or flowcharts) that perform the claimed function. Without describing the AI/computer and the algorithm, potential infringers cannot be sure whether they are infringing the claims or not.
The claim limitations identified above under the Claim Interpretation heading in claims 1-6 invoke 35 U.S.C. 112(f) or pre-AIA 35 U.S.C. 112, sixth paragraph. However, the written description fails to disclose the corresponding structure, material, or acts for performing the entire claimed function and to clearly link the structure, material, or acts to the function. Examiner reviewed the entirety of the Specification and did not find any corresponding structure, material, or acts for performing the entirety of the claimed functions. Therefore, the claim is indefinite and is rejected under 35 U.S.C. 112(b) or pre-AIA 35 U.S.C. 112, second paragraph.
Applicant may:
(a) Amend the claim so that the claim limitation will no longer be interpreted as a limitation under 35 U.S.C. 112(f) or pre-AIA 35 U.S.C. 112, sixth paragraph;
(b) Amend the written description of the specification such that it expressly recites what structure, material, or acts perform the entire claimed function, without introducing any new matter (35 U.S.C. 132(a)); or
(c) Amend the written description of the specification such that it clearly links the structure, material, or acts disclosed therein to the function recited in the claim, without introducing any new matter (35 U.S.C. 132(a)).
If applicant is of the opinion that the written description of the specification already implicitly or inherently discloses the corresponding structure, material, or acts and clearly links them to the function so that one of ordinary skill in the art would recognize what structure, material, or acts perform the claimed function, applicant should clarify the record by either:
(a) Amending the written description of the specification such that it expressly recites the corresponding structure, material, or acts for performing the claimed function and clearly links or associates the structure, material, or acts to the claimed function, without introducing any new matter (35 U.S.C. 132(a)); or
(b) Stating on the record what the corresponding structure, material, or acts, which are implicitly or inherently set forth in the written description of the specification, perform the claimed function. For more information, see 37 CFR 1.75(d) and MPEP §§ 608.01(o) and 2181.
Claim 1 refers to evaluating, by an Al technology evaluation system, the AI-driven modeling system of multimodal data, the Al control system of an end-side multiple-input multiple-output loop, the Al control system for edge-side safety isolation, the Al optimization system for cloud-side safety isolation, to obtain a final evaluation result. However, it is not clear how the edge-side physical isolation mechanism and the cloud-side forward and reverse safety isolation mechanism would be used to obtain a final evaluation result and thereby, adjust the process.
Claim 1 refers to an edge-side physical isolation mechanism and a reverse safety isolation mechanism. However, it is not clear what is meant by these limitations. The limitations are not further defined in the Specification.
Subject Matter Distinguished from Prior Art
The prior art of record neither anticipates nor supports a conclusion of obviousness without the use of impermissible hindsight with respect to claims 1-7.
The most closely applicable prior art of record is CN 117473760. Tang discloses a tail gas emission modelling analysis system for an urban solid waste incineration process (abstract). Tang discloses that the tail gas emission model building module is based on MIMO (multiple-input multiple-output) (abstract). Tang further discloses tracking variables using CO, CO2, O2, SO2, and NOx (Tang 15-16).
Other closely related prior art is: Tang, Jian, et al. "An overview of artificial intelligence application for optimal control of municipal solid waste incineration process." Sustainability 16.5 (2024): 2042. Tang et al. discloses an exhaustive survey of AI applications for optimal control, categorizing them into four fundamental aspects: modeling, control, optimization, and maintenance (abstract).
CN 107563646 is also closely related prior art. Sun discloses a municipal solid waste incineration treatment including predicting a garbage incineration facility under normal operating conditions influence of atmospheric pollutants on peripheral sensitive point condition (abstract).
Referring to claim 1: The prior art of record neither anticipates not fairly and reasonable teach a method comprising:
obtaining, by a synchronous publishing system of multimodal historical data, a first data source and a second data source, wherein the first data source and the second data source both comprise: environmental index data, a controlled variable, a manipulated variable, left grate flame video data, and right grate flame video data, and wherein the environmental index data comprises amounts of SO2, NOx, CO, and CO2 in a incineration process, the controlled variable comprises a trace pollutant, a furnace temperature, and a flame combustion state, and the manipulated variable comprises a feed rate, a grate speed, a primary/secondary air volume, and an air temperature,
performing, by an AI-driven modeling system of multimodal data, quantitative modeling on the first data source, to obtain a model set, wherein the model set comprises: a detection model, a prediction model, a recognition model, a combustion line quantification model, a first optimization model, and a second optimization model,
implementing, by an Al control system of an end-side multiple-input multiple-output loop, a closed-loop operation of the Al control system of an end-side multiple-input multiple-output loop,
implementing, by an Al control system for edge-side safety isolation, closed-loop control of a virtual controlled-object of an edge-side physical isolation mechanism by the second data source,
implementing, by an Al optimization system for cloud-side safety isolation, closed-loop optimization for the virtual controlled-object based on a cloud-side forward and reverse safety isolation mechanism,
evaluating, by an Al technology evaluation system, the AI-driven modeling system of multimodal data, the Al control system of an end-side multiple-input multiple-output loop, the Al control system for edge-side safety isolation, the Al optimization system for cloud-side safety isolation, to obtain a final evaluation result; and
based on the final evaluation result, uninterruptedly monitoring and adjusting, by the Al technology evaluation system, the incineration process to reduce discharged pollutants;
wherein the AI-driven modeling system of multimodal data, the Al control system of an end-side multiple-input multiple-output loop, the Al control system for edge-side safety isolation, and the Al optimization system for cloud-side safety isolation are all connected to the Al technology evaluation system, and the AI-driven modeling system of multimodal data is connected to the Al optimization system for cloud-side safety isolation and the synchronous publishing system of multimodal historical data, the synchronous publishing system of multimodal historical data is connected to the Al control system for edge-side safety isolation, and the Al control system for edge-side safety isolation is connected to the Al control system of an end-side multiple-input multiple-output loop and the Al optimization system for cloud-side safety isolation.
Examiner notes that the underlined limitations above, in combination with the other limitations found within the independent claims are not found in the prior art. Claims 2-7 are dependent on claim 1.
Conclusion
Any inquiry concerning this communication or earlier communications from the examiner should be directed to CARRIE S GILKEY whose telephone number is (571)270-7119. The examiner can normally be reached Monday-Thursday 7:30-4:30 CT and Friday 7:30-12 CT.
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/CARRIE S GILKEY/Primary Examiner, Art Unit 3626
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