US 12,242,252 B2
Systems and methods for smart gas full-cycle supervision based on internet of things
Zehua Shao, Chengdu (CN); Yaqiang Quan, Chengdu (CN); Yong Li, Chengdu (CN); Yuefei Wu, Chengdu (CN); and Lei He, 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. 26, 2024, as Appl. No. 18/755,635.
Claims priority of application No. 202410352232.7 (CN), filed on Mar. 26, 2024.
Prior Publication US 2024/0345567 A1, Oct. 17, 2024
Int. Cl. H04L 67/12 (2022.01); G05B 19/418 (2006.01); G16Y 10/35 (2020.01); G16Y 40/10 (2020.01)
CPC G05B 19/41835 (2013.01) [G16Y 10/35 (2020.01); G16Y 40/10 (2020.01); H04L 67/12 (2013.01)] 8 Claims
OG exemplary drawing
 
1. A method for smart gas full-cycle supervision based on Internet of Thing, wherein the method is executed by a government safety supervision management platform of a system for smart gas full-cycle supervision, and the method comprises:
obtaining gas production data of at least one of all batches of gas to be supervised uploaded by a gas company management platform in a government safety supervision object platform based on a government safety supervision sensor network platform;
determining base supervision data based on the gas production data, wherein the gas production data includes a base supervision parameter and a reference resource consumption;
obtaining residual computing resources at a preset frequency, wherein the preset frequency is determined based on at least one of a total estimated gas production volume, a total gas transportation volume, and a total gas supply volume;
in response to determining that a sum of the reference resource consumption and the residual computing resources satisfying a preset requirement, performing operations including:
generating and sending a control instruction to the gas company management platform, wherein the control instruction is configured to obtain target data, the target data includes an actual supervision parameter of the target gas, and the target gas includes all batches of gas under a current supervision;
evaluating an importance degree of each of the all batches of gas in the target gas based on the target data and the gas production data of the target gas; and
adjusting a gas supply of the at least one of all batches of gas in the target gas based on the importance degree of the each of the all batches of gas in the target gas and the target data.