US 12,093,903 B2
Method and internet of things system for determining gas meter maintenance plan of smart gas
Zehua Shao, Chengdu (CN); Yong Li, Chengdu (CN); Junyan Zhou, Chengdu (CN); Lei Zhang, Chengdu (CN); and Guanghua Huang, Chengdu (CN)
Assigned to CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD., Chengdu (CN)
Filed by CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD., Sichuan (CN)
Filed on Aug. 8, 2023, as Appl. No. 18/446,457.
Application 18/446,457 is a continuation of application No. 18/054,926, filed on Nov. 14, 2022, granted, now 11,861,567.
Claims priority of application No. 202211256468.8 (CN), filed on Oct. 14, 2022.
Prior Publication US 2023/0385783 A1, Nov. 30, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 10/20 (2023.01); F17D 5/02 (2006.01); G01F 25/10 (2022.01); G16Y 10/35 (2020.01)
CPC G06Q 10/20 (2013.01) [F17D 5/02 (2013.01); G01F 25/15 (2022.01); G16Y 10/35 (2020.01)] 11 Claims
OG exemplary drawing
 
1. A method for determining a gas meter maintenance plan of a smart gas, wherein the method is implemented based on an Internet of Things (IoT) system, including: a smart gas user platform, a smart gas service platform, a smart gas device management platform, a smart gas sensing network platform, and a smart gas object platform that interact in sequence, wherein the smart gas device management platform includes an indoor smart gas device management sub-platform and a smart gas data center;
the method comprising:
by the smart gas data center, obtaining, based on the smart gas sensing network platform, gas flow information of pipelines of each level from at least one flow monitoring device, the at least one flow monitoring device being configured in the smart gas object platform;
by the indoor smart gas device management sub-platform,
determining a candidate area based on the gas flow information;
based on current usage data and historical usage data of gas meter reading information of the candidate area, respectively constructing a current usage vector and a historical usage vector database;
determining whether there is a vector matching the current usage vector in the historical usage vector database, wherein the current usage vector and the historical usage vector database further include an environmental feature sub-vector, the environmental feature sub-vector being obtained based on an environmental feature layer of a flow change model, the flow change model being a machine learning model;
in response to the determination that there is not a vector matching the current usage vector in the historical usage vector database, determining that the gas meter corresponding to the current usage data is a target gas meter, determining a suspicious score of the gas meter, wherein the suspicious score is positively correlated with a minimum vector distance of the current usage vector in the historical usage vector database;
determining a maintenance plan of the target gas meter; and
sending the maintenance plan to the smart gas data center, and sending the maintenance plan to the smart gas user platform based on the smart gas service platform.