US 12,277,847 B2
Determination and alarm methods and internet of things (IOT) systems for gas leakage of smart gas
Zehua Shao, Chengdu (CN); Yaqiang Quan, Chengdu (CN); Yuefei Wu, 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 May 7, 2024, as Appl. No. 18/657,763.
Application 18/657,763 is a continuation of application No. 18/465,127, filed on Sep. 11, 2023, granted, now 12,008,883.
Claims priority of application No. 202310898714.8 (CN), filed on Jul. 21, 2023.
Prior Publication US 2024/0290193 A1, Aug. 29, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G08B 21/12 (2006.01); F24F 11/30 (2018.01); G08B 21/24 (2006.01)
CPC G08B 21/12 (2013.01) [F24F 11/30 (2018.01); G08B 21/24 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A determination and alarm method for a gas leakage of smart gas, performed by a determination and alarm Internet of Things (IoT) system for a gas leakage of smart gas, wherein the determination and alarm IoT system comprises a smart gas user platform, a smart gas service platform, a smart gas safety management platform, a smart gas indoor equipment sensor network platform, and a smart gas indoor equipment object platform, and the determination and alarm method comprises:
obtaining gas monitoring data based on a data acquisition instruction, and determining whether the gas leakage occurs;
in response to a determination that the gas leakage occurs, generating a control instruction based on a fan operation strategy to control operation of a fan, and obtaining the gas monitoring data under the fan operation strategy, the fan being configured to remove leaking gas, and a type of the gas leakage including a continuous leakage and an occasional leakage;
generating a notification instruction based on the gas monitoring data in conjunction with an operating strategy of an indicator light, and controlling the indicator light to issue an alarm notification based on the notification instruction; and
determining the type of the gas leakage by processing the fan operation strategy, the operating condition of the indicator light, and the gas monitoring data of at least one time point through a type determination model, wherein the type determination model is a machine learning model, the type determination model includes an extraction layer and a determination layer, the extraction layer is configured to determine gas concentration change characteristics by processing the gas monitoring data of the at least one time point, and the determination layer is configured to determine the type of the gas leakage by processing the fan operation strategy, the operating condition of the indicator light, and the gas concentration change characteristics.