US 12,270,515 B2
Systems and methods for safety monitoring of durability of gas pipeline corridors based on monitoring Internet of Things systems
Zehua Shao, Chengdu (CN); Yaqiang Quan, Chengdu (CN); Lei He, Chengdu (CN); and Xiaojun Wei, Chengdu (CN)
Assigned to CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD., Chengdu (CN)
Filed by CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD., Sichuan (CN)
Filed on Jun. 6, 2024, as Appl. No. 18/736,476.
Claims priority of application No. 202410607149.X (CN), filed on May 16, 2024.
Prior Publication US 2024/0318790 A1, Sep. 26, 2024
Int. Cl. F17D 5/00 (2006.01); G08G 1/09 (2006.01); G16Y 10/35 (2020.01); G16Y 10/40 (2020.01); G16Y 40/10 (2020.01)
CPC F17D 5/005 (2013.01) [G08G 1/091 (2013.01); G16Y 10/35 (2020.01); G16Y 10/40 (2020.01); G16Y 40/10 (2020.01)] 5 Claims
OG exemplary drawing
 
1. A method for safety monitoring of durability of a gas pipeline corridor based on a monitoring Internet of Things system (IoT), wherein the method is executed by a gas company management platform of a system for the safety monitoring of durability of the gas pipeline corridor based on the monitoring Internet of Things system (IoT), comprising:
obtaining durability monitoring data and traffic vibration data of the gas pipeline corridor through a gas company sensor network platform, and obtaining road traffic data through a government safety monitoring management platform via a government safety monitoring sensor network platform;
determining a traffic correlation based on at least one of the durability monitoring data, the traffic vibration data, or the road traffic data, the traffic correlation reflecting a correlation degree between a pipeline corridor anomaly and road traffic in a preset area; and
determining a traffic-affected pipeline corridor based on at least one of the traffic vibration data or the traffic correlation, and reporting the traffic-affected pipeline corridor to a government safety monitoring service platform via the government safety monitoring sensor network platform and the government safety monitoring management platform, and determining whether to carry out traffic control via the government safety monitoring service platform, the traffic-affected pipeline corridor being a gas underground pipeline corridor affected by the road traffic;
the determining the traffic correlation based on the at least one of the durability monitoring data, the traffic vibration data, or the road traffic data includes:
determining a durability change feature of the gas pipeline corridor based on the durability monitoring data; and
determining the traffic correlation and a road relevance type based on at least one of the durability change feature, the traffic vibration data, or the road traffic data using a relevance determination model, the road relevance type including at least one of a direct relevance, an indirect relevance, or an irrelevance, and the relevance determination model being a first machine learning model; and
the determining the traffic-affected pipeline corridor based on the at least one of the traffic vibration data or the traffic correlation includes:
determining a key monitoring pipeline corridor based on the traffic vibration data; and
determining the traffic-affected pipeline corridor based on the key monitoring pipeline corridor and the traffic correlation.