DETAILED ACTION
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 .
Claims 1-17 have been presented for examination and are rejected.
Priority
Receipt is acknowledged of certified copies of papers required by 37 CFR 1.55 and of applicant’s claim for foreign priority under 35 U.S.C. 119 (a)-(d). The certified copy was filed on 06/19/2025.
Information Disclosure Statement
The information disclosure statements (IDS) submitted on 06/19/2025. The submission is in compliance with the provisions of 37 CFR 1.97. Accordingly, the information disclosure statement is being considered by the examiner.
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 claims at issue 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); and 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 a nonstatutory double patenting ground provided the reference application or patent either is shown to be commonly owned with this application, or claims an invention made as a result of activities undertaken within the scope of a joint research agreement. A terminal disclaimer must be signed in compliance with 37 CFR 1.321(b).
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Claims 1- 17 are rejected on the ground of nonstatutory obviousness-type double patenting as being unpatentable over claims 1-10 of U.S. Patent No. US 12341850 hereinafter ‘850. Although the claims at issue are not identical, they are not patentably distinct from each other because claim 1 of the present application is an obvious variation of claim 1 of patent ‘850. The difference between the instant application and the patent ‘850 is, the instant application discloses additional elements, determining a second signal interference type and probability distribution using reference factory data, and using this distribution alongside first-stage data to generate both pre-adjustment and real-time adjustment instructions. Therefore, it would have been obvious to one of ordinary skill in the art to include additional elements that would provide distinct operational benefits. By combining comparative cross-factory benchmarking with dual-stage adjustment planning, the system optimizes overall reliability and responsiveness.
Similar reasoning applies to claims 9 and 17 of the instant application. See, the table below which shows both application claims on limitation bases.
Please see the table below that provides a mapping between the limitations of the present application and the patent ‘850 above.
The instant application- 19/226,645
U.S. Patent No. 12323472
Claim 1. A method for information management of Industrial Internet of Things (IloT) based on a cloud platform, wherein the method is implemented based on the cloud platform, the cloud platform includes distributed servers and the cloud platform communicates with a plurality of IloT platforms of a plurality of factories via the distributed servers, each of the plurality of IloT platforms includes an IloT user platform, an IloT service platform, an IloT management platform, an IloT sensing network platform, and an IloT perception and control platform connected in sequence, the IloT perception and control platform is configured with a plurality of data processing devices, the IloT sensing network platform is communicatively connected to the plurality of data processing devices via a communication device, and the method comprises:
for each of the plurality of factories, obtaining, based on the IloT sensing network platform, a production condition of the factory, signaling information, and communication information between the communication device and the plurality of data processing devices;
determining a data communication effect of each of the plurality of data processing devices based on the production condition, the signaling information, and the communication information, the data communication effect including communication efficiency and communication quality;
determining a first signal interference type of the factory and a first probability distribution corresponding to the first signal interference type based on an associated production condition, associated signaling information, and an associated predicted communication effect of at least one associated factory;
determining one or more reference factories from the at least one associated factory and determining a second signal interference type of the factory and a second probability distribution corresponding to the second signal interference type based on the signaling information of the factory and reference signaling information of the one or more reference factories;
generating a pre-adjustment instruction based on the first signal interference type and the first probability distribution corresponding to the first signal interference type, and generating a real-time adjustment instruction based on the second signal interference type and the second probability distribution corresponding to the second signal interference type; and
sending the pre-adjustment instruction and the real-time adjustment instruction to the IIoT sensing network platform, and sending an adjustment result to the IIoT user platform sequentially through the IIoT management platform and the IIoT service platform.
Claim 1. A method for information service of Industrial Internet of Things (IIoT) based on a cloud platform, wherein the method is implemented based on the cloud platform, the cloud platform includes distributed servers and the cloud platform communicates with a plurality of IIoT platforms of a plurality of factories via the distributed servers, each of the plurality of IIoT platforms includes an IIoT user platform, an IIoT service platform, an IIoT management platform, an IIoT sensing network platform, and an IIoT perception and control platform connected in sequence, the IIoT perception and control platform is configured with a plurality of data processing devices, the IIoT sensing network platform is communicatively connected to the plurality of data processing devices via a communication device, and the method comprises:
for each of the plurality of factories, obtaining, based on the IIoT sensing network platform, a production condition of the factory, signaling information of the factory, and communication information between the communication device and the plurality of data processing devices;
determining a data communication effect of each of the plurality of data processing devices based on the production condition, the signaling information, and the communication information, the data communication effect including communication efficiency and communication quality; and
determining a signal interference type of the factory and a probability distribution corresponding to the signal interference type of the factory based on data communication effects of the plurality of data processing devices, and
generating and sending a communication adjustment instruction to the IIoT sensing network platform, the communication adjustment instruction including at least one of a position adjustment instruction and a parameter adjustment instruction, wherein the position adjustment instruction is used for adjusting setting positions of the data processing devices, and the parameter adjustment instruction is used for adjusting communication parameters of the data processing devices.
Claim 2. The method of claim 1, wherein the method further comprises: obtaining obstacle distribution information and a wireless communication distance of each of the plurality of data processing devices based on the production condition and the signaling information; and determining a predicted communication effect of each of the plurality of data processing devices in a future time period based on the obstacle distribution information and the wireless communication distance of each of the plurality of data processing devices.
Claim 2. The method of claim 1, wherein the method further comprises: obtaining obstacle distribution information and a wireless communication distance of each of the plurality of data processing devices based on the production condition and the signaling information; and determining a predicted communication effect of each of the plurality of data processing devices in a future time period based on the obstacle distribution information and the wireless communication distance of each of the plurality of data processing devices.
Claim 5. The method of claim 2, wherein the data communication effect of each of the plurality of the data processing devices includes a historical communication effect of the data processing device in each of a plurality of historical time periods, and the method further comprises:
for each of the plurality of data processing devices,
determining communication effect change data based on the historical communication effect of the data processing device in each of the plurality of historical time periods;
determining reliability data of the predicted communication effect of the data processing device based on the communication effect change data; and
sending a data integration instruction, based on the reliability data, to perform data integration on the predicted communication effect.
Claim 3. The method of claim 2, wherein the data communication effect of each of the plurality of the data processing devices includes a historical communication effect of the data processing device in each of a plurality of historical time periods, and the method further comprises:
for each of the plurality of data processing devices, determining communication effect change data based on the historical communication effect of the data processing device in each of the plurality of historical time periods;
determining reliability data of the predicted communication effect of the data processing device based on the communication effect change data; and
sending a data integration instruction, based on the reliability data, to perform data integration on the predicted communication effect.
Claim 9. A system for information management of Industrial Internet of Things (IloT) based on a cloud platform, wherein the system includes the cloud platform and a plurality of IloT platforms of a plurality of factories, the cloud platform includes distributed servers and the cloud platform communicates with the plurality of IloT platforms of the plurality of factories via the distributed servers, each of the plurality of IloT platform includes an IloT user platform, an IloT service platform, an IloT management platform, an IloT sensing network platform, and an IloT perception and control platform connected in sequence, the IloT perception and control platform is configured with a plurality of data processing devices, the IloT sensing network platform is communicatively connected to the plurality of data processing devices via a communication device, and the cloud platform is configured to:
for each of the plurality of factories, obtain, based on the lloT sensing network platform, a production condition of the factory, signaling information, and communication information between the communication device and the plurality of data processing devices;
determine a data communication effect of each of the plurality of data processing devices based on the production condition, the signaling information, and the communication information, the data communication effect including communication efficiency and communication quality;
determine a first signal interference type of the factory and a first probability distribution corresponding to the first signal interference type based on an associated production condition, associated signaling information, and an associated predicted communication effect of at least one associated factory;
determine one or more reference factories from the at least one associated factory and determine a second signal interference type of the factory and a second probability distribution corresponding to the second signal interference type based on the signaling information of the factory and reference signaling information of the one or more reference factories;
generate a pre-adjustment instruction based on the first signal interference type and the first probability distribution corresponding to the first signal interference type, and
generate a real-time adjustment instruction based on the second signal interference type and the second probability distribution corresponding to the second signal interference type; and
send the pre-adjustment instruction and the real-time adjustment instruction to the lloT sensing network platform, and send an adjustment result to the lloT user platform sequentially through the lloT management platform and the lloT service platform.
Claim 5. A system for information service of Industrial Internet of Things (IIoT) based on a cloud platform, wherein the system includes the cloud platform and a plurality of IIoT platforms of a plurality of factories, the cloud platform includes distributed servers and the cloud platform communicates with the plurality of IIoT platforms of the plurality of factories via the distributed servers, each of the plurality of IIoT platform includes an IIoT user platform, an IIoT service platform, an IIoT management platform, an IIoT sensing network platform, and an IIoT perception and control platform connected in sequence, the IIoT perception and control platform is configured with a plurality of data processing devices, the IIoT sensing network platform is communicatively connected to the plurality of data processing devices via a communication device, and the cloud platform is configured to:
for each of the plurality of factories, obtain, based on the IIoT sensing network platform, a production condition of the factory, signaling information of the factory, and communication information between the communication device and the plurality of data processing devices;
determine a data communication effect of each of the plurality of data processing devices based on the production condition, the signaling information, and the communication information, the data communication effect including communication efficiency and communication quality; and
determine a signal interference type of the factory and a probability distribution corresponding to the signal interference type of the factory based on data communication effects of the plurality of data processing devices, and
generate and send a communication adjustment instruction to the IIoT sensing network platform, the communication adjustment instruction including at least one of a position adjustment instruction and a parameter adjustment instruction, wherein the position adjustment instruction is used for adjusting setting positions of the data processing devices, and the parameter adjustment instruction is used for adjusting communication parameters of the data processing devices.
Claim 10. The system of claim 9, wherein the cloud platform is further configured to: obtain obstacle distribution information and a wireless communication distance of each of the plurality of data processing devices based on the production condition and the signaling information; and determine a predicted communication effect of each of the plurality of data processing devices in a future time period based on the obstacle distribution information and the wireless communication distance of each of the plurality of data processing devices.
Claim 7. The system of claim 5, wherein the cloud platform is further configured to: obtain obstacle distribution information and a wireless communication distance of each of the plurality of data processing devices based on the production condition and the signaling information; and determine a predicted communication effect of each of the plurality of data processing devices in a future time period based on the obstacle distribution information and the wireless communication distance of each of the plurality of data processing devices.
Claim 13. The system of claim 10, wherein the data communication effect of each of the plurality of the data processing devices includes a historical communication effect of the data processing device in each of a plurality of historical time periods, and the cloud platform is further configured to:
for each of the plurality of data processing devices,
determine communication effect change data based on the historical communication effect of the data processing device in each of the plurality of historical time periods;
determine reliability data of the predicted communication effect of the data processing device based on the communication effect change data; and
send a data integration instruction, based on the reliability data, to perform data integration on the predicted communication effect.
Claim 8. The system of claim 7, wherein the data communication effect of each of the plurality of the data processing devices includes a historical communication effect of the data processing device in each of a plurality of historical time periods, and the cloud platform is further configured to:
for each of the plurality of data processing devices, determine communication effect change data based on the historical communication effect of the data processing device in each of the plurality of historical time periods;
determine reliability data of the predicted communication effect of the data processing device based on the communication effect change data; and send a data integration instruction, based on the reliability data, to perform data integration on the predicted communication effect.
Claim 17. A non-transitory computer-readable storage medium, wherein the storage medium stores a computer instruction, and when the computer instruction is executed by a processor, a method for information management of Industrial Internet of Things (lloT) based on a cloud platform is implemented, wherein the method is implemented based on the cloud platform, the cloud platform includes distributed servers and the cloud platform communicates with a plurality of IloT platforms of a plurality of factories via the distributed servers, each of the plurality of IloT platforms includes an IloT user platform, an lloT service platform, an lloT management platform, an lloT sensing network platform, and an lloT perception and control platform connected in sequence, the IloT perception and control platform is configured with a plurality of data processing devices, the lloT sensing network platform is communicatively connected to the plurality of data processing devices via a communication device, and the method comprises:
for each of the plurality of factories, obtaining, based on the lloT sensing network platform, a production condition of the factory, signaling information, and communication information between the communication device and the plurality of data processing devices;
determining a data communication effect of each of the plurality of data processing devices based on the production condition, the signaling information, and the communication information, the data communication effect including communication efficiency and communication quality;
determining a first signal interference type of the factory and a first probability distribution corresponding to the first signal interference type based on an associated production condition, associated signaling information, and an associated predicted communication effect of at least one associated factory;
determining one or more reference factories from the at least one associated factory and determining a second signal interference type of the factory and a second probability distribution corresponding to the second signal interference type based on the signaling information of the factory and reference signaling information of the one or more reference factories;
generating a pre-adjustment instruction based on the first signal interference type and the first probability distribution corresponding to the first signal interference type, and generating a real-time adjustment instruction based on the second signal interference type and the second probability distribution corresponding to the second signal interference type; and
sending the pre-adjustment instruction and the real-time adjustment instruction to the lloT sensing network platform, and sending an adjustment result to the lloT user platform sequentially through the lloT management platform and the lloT service platform.
Claim 10. A non-transitory computer-readable storage medium, wherein the storage medium stores a computer instruction, and when the computer instruction is executed by a processor, a method for information service of Industrial Internet of Things (IIoT) based on a cloud platform is implemented, wherein the method is implemented based on the cloud platform, the cloud platform includes distributed servers and the cloud platform communicates with a plurality of IIoT platforms of a plurality of factories via the distributed servers, each of the plurality of IIoT platforms includes an IIoT user platform, an IIoT service platform, an IIoT management platform, an IIoT sensing network platform, and an IIoT perception and control platform connected in sequence, the IIoT perception and control platform is configured with a plurality of data processing devices, the IIoT sensing network platform is communicatively connected to the plurality of data processing devices via a communication device, and the method comprises:
for each of the plurality of factories, obtaining, based on the IIoT sensing network platform, a production condition of the factory, signaling information of the factory, and communication information between the communication device and the plurality of data processing devices;
determining a data communication effect of each of the plurality of data processing devices based on the production condition, the signaling information, and the communication information, the data communication effect including communication efficiency and communication quality; and
determining a signal interference type of the factory and a probability distribution corresponding to the signal interference type of the factory based on data communication effects of the plurality of data processing devices, and
generating and sending a communication adjustment instruction to the IIoT sensing network platform, the communication adjustment instruction including at least one of a position adjustment instruction and a parameter adjustment instruction, wherein the position adjustment instruction is used for adjusting setting positions of the data processing devices, and the parameter adjustment instruction is used for adjusting communication parameters of the data processing devices.
Conclusion
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07/25/2026
/ELIZABETH KASSA/
Examiner, Art Unit 2457
/ARIO ETIENNE/Supervisory Patent Examiner, Art Unit 2457
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