US 12,278,867 B2
Method and internet of things (IoT) system for determining purification parameter of gas in storage and distribution station
Zehua Shao, Chengdu (CN); Junyan Zhou, Chengdu (CN); Guanghua Huang, Chengdu (CN); Lei Zhang, 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 Jan. 12, 2024, as Appl. No. 18/411,051.
Application 18/411,051 is a continuation of application No. 18/066,246, filed on Dec. 14, 2022, granted, now 11,917,010.
Claims priority of application No. 202211416851.5 (CN), filed on Nov. 14, 2022.
Prior Publication US 2024/0155030 A1, May 9, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. H04L 67/12 (2022.01); G16Y 10/35 (2020.01); G16Y 20/20 (2020.01)
CPC H04L 67/12 (2013.01) [G16Y 10/35 (2020.01); G16Y 20/20 (2020.01)] 17 Claims
OG exemplary drawing
 
1. A method for determining a purification parameter of gas in a storage and distribution station, wherein
the method is performed by an Internet of Things (IoT) system for determining the purification parameter of gas in the storage and distribution station,
the IoT system for determining the purification parameter of gas in the storage and distribution station includes:
a smart gas user platform, a smart gas service platform, a smart gas device management platform, a smart gas sensor network platform, and a smart gas object platform;
the smart gas service platform is configured to send operation parameter to the smart gas user platform;
the smart gas object platform is configured to obtain a gas quality condition parameter of a raw gas, and transmit the gas quality condition parameter of the raw gas to the smart gas device management platform through the smart gas sensor network platform,
wherein the gas quality condition parameter at least includes at least one of a hydrogen sulfide content, a carbon dioxide content, and a target purification volume;
the method is performed by a processor of the smart gas device management platform, comprising:
predicting, based on the at least one of the hydrogen sulfide content, the carbon dioxide content, and the target purification volume, at least one group of recommended operation parameters and at least one effect score corresponding to the at least one group of recommended operation parameters through a recommended operation parameter prediction model, wherein the recommended operation parameter prediction model is a machine learning model, and the recommended operation parameter prediction model is obtained by training; and
determining, based on the at least one group of recommended operation parameters and the at least one effect score corresponding to the at least one group of recommended operation parameters, an operation parameter in a purification process; and
generating, based on the operation parameter, a remote control instruction and sending the remote control instruction to the smart gas sensor network platform, and sending, based on the smart gas sensor network platform, the remote control instruction to the smart gas object platform for performing a purification operation of the raw gas.