US 12,241,769 B2
Method and system for determining abnormal device in process of measuring energy of natural gas based on internet of things
Zehua Shao, Chengdu (CN); Haitang Xiang, Chengdu (CN); Xiaojun Wei, Chengdu (CN); and Bin Liu, 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. 24, 2023, as Appl. No. 18/455,569.
Application 18/455,569 is a continuation of application No. 17/649,345, filed on Jan. 28, 2022, granted, now 11,796,368.
Claims priority of application No. 202110155152.9 (CN), filed on Feb. 4, 2021; and application No. 202210043885.8 (CN), filed on Jan. 14, 2022.
Prior Publication US 2023/0400341 A1, Dec. 14, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G01F 15/063 (2022.01); G01F 15/075 (2006.01); G16Y 20/30 (2020.01); G16Y 40/10 (2020.01); H04L 67/12 (2022.01)
CPC G01F 15/063 (2013.01) [G01F 15/075 (2013.01); G16Y 20/30 (2020.01); G16Y 40/10 (2020.01); H04L 67/12 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for determining an abnormal device in a process of measuring energy of natural gas based on Internet of Things (IoT), wherein the method is performed by a management platform, comprising:
in response to a query request received by a user platform, obtaining a natural gas detection parameter detected by at least one detection device of a sense control platform via a sense network platform;
determining first energy data and second energy data by processing the natural gas detection parameter;
determining whether the abnormal device exists by comparing the first energy data and the second energy data;
in response to determining that the abnormal device exists, for each detection device of the at least one detection device for detecting the natural gas detection parameter,
determining a probability that the detection device is abnormal based on related information of the detection device, the first energy data, and the second energy data; and
determining the abnormal device based on the probability that the detection device is abnormal.