US 11,982,994 B2
Determining a regional gas pipeline operating scheme
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. 1, 2023, as Appl. No. 18/363,719.
Application 18/363,719 is a continuation of application No. 18/061,508, filed on Dec. 5, 2022, granted, now 11,803,173.
Claims priority of application No. 202211408774.9 (CN), filed on Nov. 11, 2022.
Prior Publication US 2023/0376008 A1, Nov. 23, 2023
Int. Cl. G05B 19/41 (2006.01); G05B 19/4155 (2006.01); G06Q 10/06 (2023.01); G06Q 50/06 (2024.01); G16Y 20/40 (2020.01); G16Y 40/30 (2020.01); G06Q 10/04 (2023.01)
CPC G05B 19/4155 (2013.01) [G05B 2219/41108 (2013.01); G06Q 10/04 (2013.01); G06Q 50/06 (2013.01); G16Y 20/40 (2020.01); G16Y 40/30 (2020.01)] 14 Claims
OG exemplary drawing
 
1. A method for determining a gas pipeline network opening scheme based on smart gas, which is performed by a smart gas management platform, the smart gas management platform comprising a smart user service management sub-platform, a smart operation management sub-platform and a smart gas data center, the method comprising:
obtaining, by the smart gas data center, a region feature of each region within a target range through a smart gas sensing network platform;
clustering the each region within the target range based on location information and the gas demand degree to determine at least one clustering region;
updating the gas pipeline network opening scheme based on a total gas demand degree of the at least one clustering region, wherein the total gas demand degree of the at least one clustering region is determined by weighting the gas demand degree of the each region, and a weighted weight is related to a completeness of supporting facilities of the each region;
determining, by the smart operation management sub-platform, a gas demand degree of the each region based on the region feature of the each region, wherein the determining the gas demand degree of the each region based on the region feature of the each region includes:
determining the gas demand degree of the each region through processing the region feature of the each region based on a gas demand degree prediction model, wherein the gas demand degree prediction model is a machine learning model and obtained by training, wherein a training sample includes data related to a region where gas has been opened, and a label includes an actual gas usage of the region where gas has been opened;
determining, by the smart operation management sub-platform, a region as a first-class region based on the gas demand degree in the region meeting a preset condition, and determining the gas pipeline network opening scheme for the region; and
determining a region as a second-class region within the target range of which a total gas demand degree does not meet the preset condition, and obtaining features of the second-class region at multiple historical moments and predicting an opening time of a gas pipeline network of the second-class region.