Prosecution Insights
Last updated: August 18, 2026
Application No. 18/242,789

INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND COMPUTER-READABLE RECORDING MEDIUM

Non-Final OA §103
Filed
Sep 06, 2023
Priority
Sep 13, 2022 — JP 2022-145510
Examiner
SULTANA, DILARA
Art Unit
2858
Tech Center
2800 — Semiconductors & Electrical Systems
Assignee
Yokogawa Electric Corporation
OA Round
3 (Non-Final)
80%
Grant Probability
Favorable
3-4
OA Rounds
0m
Est. Remaining
97%
With Interview

Examiner Intelligence

Grants 80% — above average
80%
Career Allowance Rate
107 granted / 133 resolved
+12.5% vs TC avg
Strong +16% interview lift
Without
With
+16.5%
Interview Lift
resolved cases with interview
Typical timeline
2y 9m
Avg Prosecution
34 currently pending
Career history
179
Total Applications
across all art units

Statute-Specific Performance

§101
10.5%
-29.5% vs TC avg
§103
56.2%
+16.2% vs TC avg
§102
22.2%
-17.8% vs TC avg
§112
10.1%
-29.9% vs TC avg
Black line = Tech Center average estimate • Based on career data from 133 resolved cases

Office Action

§103
DETAILED ACTIONS 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 . Continued Examination Under 37 CFR 1.114 A request for continued examination under 37 CFR 1.114, including the fee set forth in 37 CFR 1.17(e), was filed in this application after final rejection. Since this application is eligible for continued examination under 37 CFR 1.114, and the fee set forth in 37 CFR 1.17(e) has been timely paid, the finality of the previous Office action has been withdrawn pursuant to 37 CFR 1.114. Applicant's submission filed on 06/05/2026 has been entered. Response to Amendment This office action is in response to the amendments/arguments submitted by the Applicant(s) on 06/05/2026. Status of the Claims Claims 1-20 are pending. Claims 1-3 are amended. Response to Arguments Rejections Under 35 U.S.C. §103 Applicant’s arguments see remarks pages 8-12, filed 06/05/2026, with respect to the rejection(s) of Claim 1 under 35 U.S.C.§103 have been fully considered, but are moot because the amendment have necessitated a new ground of rejections. A new ground of rejections is set forth below. Claim Rejections - 35 USC § 103 The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action: A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made. Claims 1-20 are rejected under 35 U.S.C. 103 as being unpatentable over Maturana et al. (US 2017 /0019483 A1, hereinafter Maturana”483) and in view of Shimizu et al. (JP 2005-293190 A, hereinafter Shimizu, a combined original with translation preview is uploaded by the examiner). Regarding Claim 1, Maturana”483 teaches, An information processing apparatus comprising a communication device, memory and a processor deployed in a cloud environment (Maturana”483, Figure 1-4, Cloud service 112, [0008]” a cloud-based infrastructure according to one or more embodiments described herein can facilitate gathering, transmitting, and remotely storing control and automation data and relating information”), the processor , comprising a control unit (Maturana”483, Figure 1, [0039] Cloud services 112 can include, but are not limited to, data storage, data analysis, control applications”) configured to: receive, from an information management apparatus that collects measurement data transmitted by (Maturana”483, Figure 2, [0044] Also located on the plant facility is a cloud agent 208 that provides on-premise data collection, packaging, and transmission of industrial data generated by the industrial assets. Cloud agent 208 acts as a generic gateway to collect data items from the various industrial assets on plant network 224”) a first plant device (Maturana”483, Figure 1, [0039], industrial devices 108”). NOTE: Industrial device 108 reads on “first plant device”), a data type code indicating a data format and device information including identification information of the first plant device (Maturana”483, Figure 3, [0051], “In some embodiments, cloud agent 306 may also transform a specified subset of the industrial data from a first format to a second format in accordance with a requirement of a cloud-based analysis application”) [0052] Cloud agent 306 may also associate metadata with selected subsets of the data prior to migration to the cloud, thereby contextualizing the data within the industrial environment. For example, cloud agent 306 can tag selected subsets of the data with a time indicator specifying a time at which the data was generated, a quality indicator, a production area indicator specifying a production area within the industrial enterprise from which the data was collected” NOTE: Industrial enterprise or industrial assets reads on “the first plant device); Maturana”483 is silent on prior to acquiring the measurement data, execute a setting enabling reception of the measurement from the information management apparatus based on the data type code and the device information and acquire the data type code, the device information, and the measurement data transmitted by the information management apparatus, wherein the acquiring comprises checking for an inconsistency between a data type code transmitted with the measurement data and the data type code that was received and used to execute the setting, and not receiving the measurement data if there is any inconsistency between the data type code transmitted with the measurement data and the data type code that was received and used to execute the setting. However, Shimizu teaches prior to acquiring the measurement data, execute a setting enabling reception of the measurement from the information management apparatus based on the data type code and the device information and acquire the data type code, the device information (Shimizu, Page 2, middle paragraph, The telecommunications system of the present invention includes a first terminal and a second terminal connected through a telecommunications line, and a file including a file name and data is transmitted to the first terminal and the second terminal. The file name includes a first identification code that identifies the type of data) and the measurement data transmitted by the information management apparatus (Shimizu, page 2, lower bottom paragraph “The file name uniquely identifies each file, and the file name is stored in the file only by the first identification code in the file name by having the first identification code for identifying the type of data. When the measurement data is sent from each measurement device to the first terminal, a second identification code for identifying the type of the measurement data is added to the measurement data. The first terminal reads the second identification code attached to the measurement data sent from each measurement device, and assigns the first identification code corresponding to the second identification code to the file name, Store the measurement data in that file”). wherein the acquiring comprises checking for an inconsistency between a data type code transmitted with the measurement data and the data type code that was received and used to execute the setting. and not receiving the measurement data if there is any inconsistency between the data type code transmitted with the measurement data and the data type code that was received and used to execute the setting.(Shimazu, Page 5, middle paragraph, In the fixed file, n data items are prepared for each date and time so that a maximum of n data can be stored in advance so that a plurality of types of data can be stored in one file. For example, in order to store data for one month for n types of data, a fixed file having n types ×30 data items are set A plurality of types of data are stored by determining the type of data to be stored for each data item of the fixed file. At this time, if the number of types of data to be stored is n or less, some data items are not stored. In order to transmit a fixed file, some data needs to exist in all of the prepared data items, so dummy data is stored in a data item that has no data to be stored. In the case of such a fixed file, since it is necessary to store dummy data in data items that do not store data, there is a problem that the data size of the file increases, and communication and reading take time. Page 14, middle paragraph, “each data type in file formation and transmitted as a unit, data that is not actually measured or data that does not need to be transmitted is not transmitted. The data size to be transmitted is reduced, and the communication / reading speed can be increased”). It would have been obvious to a person having ordinary skill in the art before the effective filing date to modify Maturana” 483 data transmission method for transmitting device data to incorporate transmission method of Shimizu to transmit and received each data type in file formation and transmitted as a unit, with the benefit of reducing data size to be transmitted and increasing the communication speed (Shimizu, Page 14, middle paragraph). It would have been obvious to a person of ordinary skill to include the well-known multistep data transmission or telecommunication data management system /method for communicating different system in order to yield the predicted results of transmitting accurate data configurations with efficient time, yet with higher accuracy (KSR). Regarding Claim 2, Maturana”483, An information processing method comprising (Maturana”483, Figure 1-3, “one or more embodiments provide a method for processing industrial data for migration to a cloud platform”). receiving, by a data receiving server from data transmitting server that collects measurement data transmitted (Maturana”483, Figure 2, [0044] “Also located on the plant facility is a cloud agent 208 that provides on-premise data collection, packaging, and transmission of industrial data generated by the industrial assets. Cloud agent 208 acts as a generic gateway to collect data items from the various industrial assets on plant network 224” a first plant device (Maturana”483 Figure 1, [0039], industrial devices 108”). NOTE: Industrial device 108 reads on “first plant device”), a data type code indicating a data format and device information including identification information of the first plant device (Maturana”483, Figure 3, [0051], “In some embodiments, cloud agent 306 may also transform a specified subset of the industrial data from a first format to a second format in accordance with a requirement of a cloud-based analysis application”) [0052] Cloud agent 306 may also associate metadata with selected subsets of the data prior to migration to the cloud, thereby contextualizing the data within the industrial environment. For example, cloud agent 306 can tag selected subsets of the data with a time indicator specifying a time at which the data was generated, a quality indicator, a production area indicator specifying a production area within the industrial enterprise from which the data was collected” NOTE: Industrial enterprise or industrial assets reads on “the first plant device); Maturana”483 is silent on prior to acquiring the measurement data, execute a setting enabling reception of the measurement from the information management apparatus based on the data type code and the device information and acquire the data type code, the device information, and the measurement data transmitted by the information management apparatus, wherein the acquiring comprises checking for an inconsistency between a data type code transmitted with the measurement data and the data type code that was received and used to execute the setting. and not receiving the measurement data if there is any inconsistency between the data type code transmitted with the measurement data and the data type code that was received and used to execute the setting. However, Shimizu teaches prior to acquiring the measurement data, execute a setting enabling reception of the measurement from the information management apparatus based on the data type code and the device information and acquire the data type code, the device information (Shimizu, Page 2, middle paragraph, The telecommunications system of the present invention includes a first terminal and a second terminal connected through a telecommunications line, and a file including a file name and data is transmitted to the first terminal and the second terminal. The file name includes a first identification code that identifies the type of data) and the measurement data transmitted by the information management apparatus (Shimizu, page 2, lower bottom paragraph “The file name uniquely identifies each file, and the file name is stored in the file only by the first identification code in the file name by having the first identification code for identifying the type of data. When the measurement data is sent from each measurement device to the first terminal, a second identification code for identifying the type of the measurement data is added to the measurement data. The first terminal reads the second identification code attached to the measurement data sent from each measurement device, and assigns the first identification code corresponding to the second identification code to the file name, Store the measurement data in that file.”), wherein the acquiring comprises checking for an inconsistency between a data type code transmitted with the measurement data and the data type code that was received and used to execute the setting. and not receiving the measurement data if there is any inconsistency between the data type code transmitted with the measurement data and the data type code that was received and used to execute the setting.(Shimazu, Page 5, middle paragraph, In the fixed file, n data items are prepared for each date and time so that a maximum of n data can be stored in advance so that a plurality of types of data can be stored in one file. For example, in order to store data for one month for n types of data, a fixed file having n types ×30 data items is set A plurality of types of data are stored by determining the type of data to be stored for each data item of the fixed file. At this time, if the number of types of data to be stored is n or less, some data items are not stored. In order to transmit a fixed file, some data needs to exist in all of the prepared data items, so dummy data is stored in a data item that has no data to be stored. In the case of such a fixed file, since it is necessary to store dummy data in data items that do not store data, there is a problem that the data size of the file increases, and communication and reading take time. Page 14, middle paragraph, each data type in file formation and transmitted as a unit, data that is not actually measured or data that does not need to be transmitted is not transmitted. The data size to be transmitted is reduced, and the communication / reading speed can be increased”). It would have been obvious to a person having ordinary skill in the art before the effective filing date to modify Maturana” 483 data transmission method for transmitting device data to incorporate transmission method of Shimizu to transmit and received each data type in file formation and transmitted as a unit, with the benefit of reducing data size to be transmitted and increasing the communication speed (Shimizu, Page 14, middle paragraph). It would have been obvious to a person of ordinary skill to include the well-known multistep data transmission or telecommunication data management system /method for communicating different system in order to yield the predicted results of transmitting accurate data configurations with efficient time, yet with higher accuracy (KSR). Regarding Claim 3, Maturana”483 teaches, A computer-readable recording medium having stored therein an information processing program that causes a computer to execute processing (Maturana”483, Figure 1-3, [0092] In this regard, it will also be recognized that the disclosed subject matter includes a system as well as a computer-readable medium having computer-executable instructions for performing the acts and/or events of the various methods of the disclosed subject matter”) comprising: receiving, by a data receiving server from data transmitting server that collects measurement data transmitted (Maturana”483, Figure 2, [0044] “also located on the plant facility is a cloud agent 208 that provides on-premise data collection, packaging, and transmission of industrial data generated by the industrial assets. Cloud agent 208 acts as a generic gateway to collect data items from the various industrial assets on plant network 224” by a first plant device (Maturana”483Figure 1, [0039], industrial devices 108”). NOTE: Industrial device 108 reads on “first plant device”), a data type code indicating a data format and device information including identification information of the first plant device (Maturana”483, Figure 3, [0051], “In some embodiments, cloud agent 306 may also transform a specified subset of the industrial data from a first format to a second format in accordance with a requirement of a cloud-based analysis application”) [0052] Cloud agent 306 may also associate metadata with selected subsets of the data prior to migration to the cloud, thereby contextualizing the data within the industrial environment. For example, cloud agent 306 can tag selected subsets of the data with a time indicator specifying a time at which the data was generated, a quality indicator, a production area indicator specifying a production area within the industrial enterprise from which the data was collected” NOTE: Industrial enterprise or industrial assets reads on “the first plant device); Maturana”483 is silent on prior to acquiring the measurement data, execute a setting enabling reception of the measurement from the information management apparatus based on the data type code and the device information and acquire the data type code, the device information, and the measurement data transmitted by the information management apparatus, wherein the acquiring comprises checking for an inconsistency between a data type code transmitted with the measurement data and the data type code that was received and used to execute the setting. and not receiving the measurement data if there is any inconsistency between the data type code transmitted with the measurement data and the data type code that was received and used to execute the setting. However, Shimizu teaches prior to acquiring the measurement data, execute a setting enabling reception of the measurement from the information management apparatus based on the data type code and the device information and acquire the data type code, the device information (Shimizu, Page 2, middle paragraph, The telecommunications system of the present invention includes a first terminal and a second terminal connected through a telecommunications line, and a file including a file name and data is transmitted to the first terminal and the second terminal. The file name includes a first identification code that identifies the type of data) and the measurement data transmitted by the information management apparatus (Shimizu, page 2, lower bottom paragraph “The file name uniquely identifies each file, and the file name is stored in the file only by the first identification code in the file name by having the first identification code for identifying the type of data. When the measurement data is sent from each measurement device to the first terminal, a second identification code for identifying the type of the measurement data is added to the measurement data. The first terminal reads the second identification code attached to the measurement data sent from each measurement device, and assigns the first identification code corresponding to the second identification code to the file name, Store the measurement data in that file.”), wherein the acquiring comprises checking for an inconsistency between a data type code transmitted with the measurement data and the data type code that was received and used to execute the setting. and not receiving the measurement data if there is any inconsistency between the data type code transmitted with the measurement data and the data type code that was received and used to execute the setting.(Shimazu, Page 5, middle paragraph, In the fixed file, n data items are prepared for each date and time so that a maximum of n data can be stored in advance so that a plurality of types of data can be stored in one file. For example, in order to store data for one month for n types of data, a fixed file having n types ×30 data items is set A plurality of types of data are stored by determining the type of data to be stored for each data item of the fixed file. At this time, if the number of types of data to be stored is n or less, some data items are not stored. In order to transmit a fixed file, some data needs to exist in all of the prepared data items, so dummy data is stored in a data item that has no data to be stored. In the case of such a fixed file, since it is necessary to store dummy data in data items that do not store data, there is a problem that the data size of the file increases, and communication and reading take time. Page 14, middle paragraph, each data type in file formation and transmitted as a unit, data that is not actually measured or data that does not need to be transmitted is not transmitted. The data size to be transmitted is reduced, and the communication / reading speed can be increased”.). It would have been obvious to a person having ordinary skill in the art before the effective filing date to modify Maturana” 483 data transmission method for transmitting device data to incorporate transmission method of Shimizu to transmit and received each data type in file formation and transmitted as a unit, with the benefit of reducing data size to be transmitted and increasing the communication speed (Shimizu, Page 14, middle paragraph). It would have been obvious to a person of ordinary skill to include the well-known multistep data transmission or telecommunication data management system /method for communicating different system in order to yield the predicted results of transmitting accurate data configurations with efficient time, yet with higher accuracy (KSR). Regarding Claim 4, combination of Maturana”483 and Shimizu teaches the information processing apparatus according to claim 1, wherein the first plant device (Maturana”483, Figure 1, Industrial device 108) is connected to the information management apparatus (Maturana”483, Figure 1-4, systems 104, 102,) and wherein the data type code and the device information are selected and generated by the information management apparatus (Maturana”483, Figure 3, [0051], “In some embodiments, cloud agent 306 may also transform a specified subset of the industrial data from a first format to a second format in accordance with a requirement of a cloud-based analysis application”) [0052] Cloud agent 306 may also associate metadata with selected subsets of the data prior to migration to the cloud, thereby contextualizing the data within the industrial environment. For example, cloud agent 306 can tag selected subsets of the data with a time indicator specifying a time at which the data was generated, a quality indicator, a production area indicator specifying a production area within the industrial enterprise from which the data was collected” NOTE: Industrial enterprise or industrial assets reads on “the first plant device); wherein acquiring the data type code, the device information, and the measurement data comprises acquiring the data type code (Maturana”483, Figure 12, Step 12, the device information, and the measurement data from the first plant device (Maturana”483, [0052], cloud agent 306 can tag selected subsets of the data with a time indicator specifying a time at which the data was generated, a quality indicator, a production area indicator specifying a production area within the industrial enterprise from which the data was collected, a machine or process state indicator specifying a state of a machine or process at the time the data was generated, a personnel identifier specifying an employee on duty at the time the data was generated, or other such contextual metadata. In this way, cloud agent 306 can perform layered processing of the collected data to generate meta-level knowledge that can subsequently be leveraged by cloud-based analysis tools to facilitate enhanced analysis of the data in view of a larger plant context”) and an additional plant device that is different from the first plant device (Maturana”483, Figure 1, Industrial device 108…108n); and Maturana”483 is silent on wherein executing the setting enabling reception of the measurement data comprises executing the setting enabling reception of the measurement data in a specific data format based on the data type code and the device information; wherein the measurement data is transmitted by the information management apparatus without further internal settings of the information processing apparatus. However, Shimizu teaches wherein executing the setting enabling reception of the measurement data comprises executing the setting enabling reception of the measurement data in a specific data format based on the data type code and the device information (Shimizu, page 5, middle paragraph, “When transmitting a plurality of types of data, a fixed file is set in advance in a data format used in the past, and each data is stored in a predetermined item portion of the fixed file”. page 14, middle paragraph, “data format used by the present invention is not limited to this CSV format, and other data is used. It can also be a format.”); wherein the measurement data is transmitted by the information management apparatus without further internal settings of the information processing apparatus (Shimizu, Page 4, upper paragraph, The file formed by the data management device is transmitted to the external server. The external server performs data management based on the file transmitted from the data management device”). It would have been obvious to a person having ordinary skill in the art before the effective filing date to modify Maturana” 483 data transmission method for transmitting device data to incorporate transmission method of Shimizu to transmit and received each data type in file formation and transmitted as a unit, with the benefit of reducing data size to be transmitted and increasing the communication speed (Shimizu, Page 14, middle paragraph). It would have been obvious to a person of ordinary skill to include the well-known multistep data transmission or telecommunication data management system /method for communicating different system in order to yield the predicted results of transmitting accurate data configurations with efficient time, yet with higher accuracy (KSR). Regarding Claim 5, combination of Maturana”483 and Shimizu teaches the information processing apparatus according to claim 1, Maturana”483 further teaches apparatus according to wherein the measurement data is acquired only if both the data type code and the device information are available (Maturana”483, [0073], FIG. 12 illustrates an example methodology 1200 for moving industrial data from a plant floor to a cloud platform. Initially. at 1202, industrial data is collected from one or more industrial devices on a plant floor. At 1204, the industrial data is stored in a compressed file. The industrial data can be compressed, for exan1ple by collection services of a cloud agent that provides on-premise data collection, packaging, and transmission of industrial data generated by industrial assets on the plant floor”). Regarding Claim 6, combination of Maturana”483 and Shimizu teaches the information processing apparatus according to claim 1, Maturana”483 further teaches wherein the processor is further configured to receive an additional measurement data transmitted by an additional plant device, wherein the measurement data and the additional measurement data are received simultaneously (Maturana”483, Figure 1, Industrial device 108…108n, [0040], “cloud-based storage offered by the cloud platform can be easily scaled to accommodate the large quantities of data generated daily by an industrial enterprise. Moreover, multiple industrial facilities at different geographical locations can migrate their respective automation data to the cloud for aggregation, collation, collective analysis, and enterprise-level reporting without the need to establish a private network between the facilities”). Regarding Claim 7, combination of Maturana”483 and Shimizu teaches the information processing apparatus according to claim 6, Maturana”483 further teaches wherein the processor is further configured to execute an additional setting for receiving the additional measurement data based on an additional data type code and an additional device information. (Maturana”483, [0040] Industrial devices 108 and 110 having smart configuration capability can be configured to automatically detect and communicate with the cloud platform 102 upon installation at any facility, simplifying integration with existing cloud-based data storage, analysis, or reporting applications used by the enterprise. In another exemplary application, cloud-based diagnostic applications can monitor the health of respective automation systems or their associated industrial devices across an entire plant, or across multiple industrial facilities that make up an enterprise”). Regarding Claim 8, combination of Maturana”483 and Shimizu teaches the information processing apparatus according to claim 1, Maturana”483 further teaches wherein the device information comprises at least one of hardware information, tag information or network map information. (Maturana”483, [0035], The controllers exchange data with the field devices using native hardwired I/O or via a plant network such as Ethernet/IP, Data Highway Plus, ControlNet, Device net, or the like. A given controller typically receives any combination of digital or analog signals from the field devices indicating a current state of the devices and their associated processes [0046]. For example, data historian 304 can monitor one or more controller tags defined in a tags archive and store data in local storage associated with data historian 304. This can include both historical data (e.g., alarm history, status history, trend data, etc.) as well as live data values read from the controller (s)”). Regarding Claim 9, combination of Maturana”483 and Shimizu teaches the information processing apparatus according to claim 8, Maturana”483 further teaches wherein the network map information comprises information of a virtual network connection between the information processing apparatus in the cloud environment and the tag information. (Maturana”483, Figure 3, and figure 14-15, [0078] Embodiments, systems, and components described herein, as well as industrial control systems and industrial automation environments in which various aspects set forth in the subject specification can be carried out, can include computer or network components such as servers, clients, programmable logic controllers (PLCs), communications modules, mobile computers, wireless components, control components and so forth which are capable of interacting across a network”) Regarding Claim 10, combination of Maturana”483 and Shimizu teaches the information processing apparatus according to claim 8, Maturana”483 further teaches wherein the network map information comprises information illustrating a hierarchical relation and connections among the information processing apparatus and the first plant device. (Maturana”483, [0044] Also located on the plant facility is a cloud agent 208 that provides on-premise data collection, packaging, and transmission of industrial data generated by the industrial assets. Cloud agent 208 acts as a generic gateway to collect data items from the various industrial assets on plant network 224 and packages the collected data according to a generic, uniform data packaging schema used to move the on-premise data to a cloud platform 204 via the Internet 206. Once the packaged data has been provided to cloud platform 204, the data can be retrieved or viewed from a remote monitoring center 202. Cloud agent 208 provides a software mechanism to dynamically link on-premise-to-cloud gateways”). Regarding Claim 11, combination of Maturana”483 and Shimizu teaches the information processing apparatus according to claim 1, Maturana”483 further teaches to wherein the processor is further configured to selecting a portion of the measurement data to be transmitted to the information processing apparatus, wherein the information processing apparatus is deployed in the cloud environment (Maturana”483, Figure 5, [0048], An exemplary data packet 502 is illustrated in FIG. 5. In addition to compressed data file 506, data packet 502 can include a header 504 that includes customer-specific data read from message queuing database 420. For example, header 504 can include a unique customer ID, a site ID representing a particular plant facility, a virtual support engineer ID, a data priority for the data in the compressed data file, a message type, and a process ID. Packaging the data in this way can allow data from diverse data sources to be packaged together using a uniform, generic data packaging schema so that the data can be moved to the cloud infrastructure”). Regarding Claim 12, combination of Maturana”483 and Shimizu teaches the information processing apparatus according to claim 1, Maturana”483 further teaches wherein a procedure for generating the data type code is configured to be publicized to an external party such that the external party is able to set the data format of the measurement data without requiring further internal setting of the information processing apparatus (Maturana”483, 0052] Cloud agent 306 may also associate metadata with selected subsets of the data prior to migration to the cloud, thereby contextualizing the data within the industrial environment. For example, cloud agent 306 can tag selected subsets of the data with a time indicator specifying a time at which the data was generated, a quality indicator, a production area indicator specifying a production area within the industrial enterprise from which the data was collected, a machine or process state indicator specifying a state of a machine or process at the time the data was generated, a personnel identifier specifying an employee on duty at the time the data was generated, or other such contextual metadata. In this way, cloud agent 306 can perform layered processing of the collected data to generate meta-level knowledge that can subsequently be leveraged by cloud-based analysis tools to facilitate enhanced analysis of the data in view of a larger plant context.”). Regarding Claim 13, combination of Maturana”483 and Shimizu teaches the information processing apparatus according to claim 1, Maturana”483 is silent on wherein the data type code is generated in accordance with a rule retained in the information processing apparatus using an existing data type code. However, Shimizu teaches wherein the data type code is generated in accordance with a rule retained in the information processing apparatus using an existing data type code. (Shimizu, Page 2, bottom paragraph, “When the measurement data is sent from each measurement device to the first terminal, a second identification code for identifying the type of the measurement data is added to the measurement data. The first terminal reads the second identification code attached to the measurement data sent from each measurement device, and assigns the first identification code corresponding to the second identification code to the file name, Store the measurement data in that file. Thus, the measurement data measured by each measuring device is stored in a file formed for each data type. When a plurality of types of measurement data are transmitted from the measurement device, the first terminal creates a file for each first identification code and stores it in a separate file created for each type.”) It would have been obvious to a person having ordinary skill in the art before the effective filing date to modify Maturana” 483 data transmission method for transmitting device data to incorporate transmission method of Shimizu to transmit and received each data type in file formation and transmitted as a unit, with the benefit of reducing data size to be transmitted and increasing the communication speed (Shimizu, Page 14, middle paragraph). It would have been obvious to a person of ordinary skill to include the well-known multistep data transmission or telecommunication data management system /method for communicating different system in order to yield the predicted results of transmitting accurate data configurations with efficient time, yet with higher accuracy (KSR). Regarding Claim 14, combination of Maturana”483 and Shimizu teaches the information processing apparatus according to claim 1 Maturana”483 is silent on wherein the processor is configured to execute the setting enabling reception of the measurement data automatically without manual work wherein the processor is configured to execute the setting enabling reception of the measurement data automatically without manual work. However, Shimizu teaches wherein the processor is configured to execute the setting enabling reception of the measurement data automatically without manual work wherein the processor is configured to execute the setting enabling reception of the measurement data automatically without manual work. (Shimizu, Page 7, top paragraph, “the measuring apparatus can be configured to transmit an ID for identifying the user to the first terminal in addition to the second identification code for identifying the type of measurement data. The first terminal prepares a correspondence relationship between the ID and the third identification code, reads out the third identification code from the correspondence relationship based on the ID transmitted from the measuring device, and reads the read third identification code. Add an identification code to the file name. Thereby, the information which identifies a user can be automatically given to a file name by sending ID from a measuring device.”). It would have been obvious to a person having ordinary skill in the art before the effective filing date to modify Maturana” 483 data transmission method for transmitting device data to incorporate transmission method of Shimizu to transmit and received each data type in file formation and transmitted as a unit, with the benefit of reducing data size to be transmitted and increasing the communication speed (Shimizu, Page 14, middle paragraph). It would have been obvious to a person of ordinary skill to include the well-known multistep data transmission or telecommunication data management system /method for communicating different system in order to yield the predicted results of transmitting accurate data configurations with efficient time, yet with higher accuracy (KSR). Regarding Claim 15, combination of Maturana”483 and Shimizu teaches the information processing apparatus according to claim 1, Maturana”483 further teaches comprises a data receiving server. (Maturana”483, Figure 1-3, Figure 15, The sample-computing environment 1500 also includes one or more server(s) 1530. The server(s) 1530 can also be hardware and/or software (e.g., threads, processes, computing devices). . One possible communication between a client 1510 and servers 1530 can be in the form of a data packet adapted to be transmitted between two or more computer processes. The sample-computing environment 1500 includes a comm1mication framework 1550 that can be employed to facilitate communications between the client(s) 1510 and the server(s) 1530. The client(s) 1510 are operably connected to one or more client data store(s) 1560 that can be employed to store information local to the client(s) 1510. Similarly, the server(s) 1530 are operably connected to one or more server data store(s) 1540 that can be employed to store information local to the servers 1530”). Regarding Claim 16, combination of Maturana”483 and Shimizu teaches the information processing apparatus according to claim 1, Maturana”483 further teaches the first plant device comprises at least one of a gateway device (Maturana”483, Figure 2, Cloud agent 106), a sensor device or a control device installed in a plant that is remotely located from the information processing apparatus (Maturana”483, [0035]. “Industrial devices 108 and 110 can include such devices as industrial controllers (e.g., programmable logic controllers or other types of programmable automation controllers); field devices such as sensors”). Regarding Claim 17, combination of Maturana”483 and Shimizu teaches the information processing apparatus according to claim 1, Maturana”483 further teaches is configured to remotely monitor production of a factory that uses the first plant device. (Maturana”483, Figure 2, [0043], These assets can include industrial controllers 210 and 220 that monitor and control I/0 device 212 and 222, a data server 214, a motor drive 216, and a remote I/0 interface 218 that remotely interfaces a group ofl/ 0 devices 226 to one or more of the industrial controllers 210 or 220. Although the illustrated example depicts a set of specific industrial devices residing on plant network 224,”) Regarding Claim 18, combination of Maturana”483 and Shimizu teaches the information processing apparatus according to claim 1, Maturana”483 further teaches wherein the information management apparatus is a higher-level server deployed in the cloud environment (Maturana”483, Figure 1, [0038], An exemplary private cloud can comprise a set of servers hosting the cloud services 112 and residing on a corporate network protected by a firewall”). Regarding Claim 19, combination of Maturana”483 and Shimizu teaches the information processing apparatus according to claim 2, Maturana”483 further teaches comprising: checking for a data format of an application by the data transmitting server and establishing a link between the data format and the measurement data. (Maturana”483, Figure1 [0038], Cloud agent 208 provides a software mechanism to dynamically link on-premise-to-cloud gateways. As will be described in more detail below, cloud agent 208 provides an expandable data type schema that allows new data types to be added without the need to redeploy the monitoring system to the cloud”). Regarding Claim 20, combination of Maturana”483 and Shimizu teaches the information processing apparatus according to claim 2, Maturana”483 further teaches further comprising: shaping format of the data to be transmitted. (Maturana”483, [0051] In some embodiments, cloud agent 306 may also transform a specified subset of the industrial data from a first format to a second fom1at in accordance with a requirement of a cloud-based analysis application”). Conclusion Citation of Pertinent Prior Art The prior art made of record and not relied upon is considered pertinent to applicant's disclosure. IIJIMA KUNIO (JP 3959441 B2) recites “To transmit electronic data that does not contain management target information while ensuring the security / leakage prevention by restricting the transmission destination for electronic data including management target information such as personal information, customer information, and confidential information. Convenience is ensured by allowing transmission without restriction. When it is determined that management target information is included in electronic data to be transmitted from a terminal device 10, a transmission destination is designated from destination information registered in a management server 20. While transmission of electronic data is permitted, transmission of electronic data is prohibited unless the transmission destination is specified from the destination information registered in the management server 20, and management target information is included in the transmission target electronic data. If it is determined that it is not, transmission of electronic data is permitted.” (Abstract). MATSUMOTO et al. (JP 2015-138522 A) discloses “In collecting data from the same device, the data collecting device used by the user and the data that can be collected by the user's authority are limited. An information processing apparatus includes a device information acquisition unit that acquires information related to a biometric device, a device specification unit that specifies a biometric device based on information related to the biometric device acquired by the device information acquisition unit, and a living body Based on the definition information according to the unique information identifying unit identifying the unique information indicating the transmission destination of the data representing the state of the data, the biometric device identified by the device identifying unit, and the unique information identified by the unique information identifying unit A format conversion unit that converts the data format of the data representing the state of the data, and a data transmission unit that transmits the data converted by the format conversion unit” (Abstract). Braun et al. (US 2010/0222896 A1) recites “In an industrial automation system comprising a plurality of industrial control devices connected to an industrial communication network, control and/or supervision functions of the industrial automation system are provided by services implemented by computer-based objects in industrial control devices. A computer-based object is assigned a first qualifier enabling the computer-based object to be accessed and/or modified during configuration of the respective service and/or a second qualifier enabling the computer-based object to be accessed and/or modified during runtime of the respective service. Upon a request for access to a computer-based object by a service consumer, the service consumer's operational state is determined. Depending on a set first and/or second qualifier of a computer-based object and depending on a determined operational state of a service consumer, access to the computer-based object is granted to the service consumer” (Abstract). Any inquiry concerning this communication or earlier communications from the examiner should be directed to DILARA SULTANA whose telephone number is (571)272-3861. The examiner can normally be reached Mon-Fri, 9 AM-5:30 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, EMAN ALKAFAWI can be reached on (571) 272-4448. 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. /DILARA SULTANA/Examiner, Art Unit 2858 08/05/2026 /SON T LE/Primary Examiner, Art Unit 2858
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Prosecution Timeline

Sep 06, 2023
Application Filed
Oct 02, 2025
Non-Final Rejection mailed — §103
Jan 30, 2026
Response Filed
Mar 05, 2026
Final Rejection mailed — §103
Jun 05, 2026
Request for Continued Examination
Jun 10, 2026
Response after Non-Final Action
Aug 07, 2026
Non-Final Rejection mailed — §103 (current)

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Prosecution Projections

3-4
Expected OA Rounds
80%
Grant Probability
97%
With Interview (+16.5%)
2y 9m (~0m remaining)
Median Time to Grant
High
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