US 12,033,487 B2
Methods for gas leakage emergency treatment based on indoor safety and smart gas internet of things systems
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 Jul. 28, 2023, as Appl. No. 18/360,834.
Application 18/360,834 is a continuation of application No. 18/051,526, filed on Nov. 1, 2022, granted, now 11,776,378.
Claims priority of application No. 202211256765.2 (CN), filed on Oct. 14, 2022.
Prior Publication US 2023/0368631 A1, Nov. 16, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G08B 21/16 (2006.01); H04L 67/125 (2022.01)
CPC G08B 21/16 (2013.01) [H04L 67/125 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A method for gas leakage emergency treatment based on indoor safety, wherein the method is implemented by a smart gas Internet of Things system, and the smart gas Internet of Things system includes a smart gas user platform, a smart gas service platform, a smart gas management platform, an indoor gas device sensor network platform and an indoor gas device object platform which interact in turn, the smart gas management platform includes a smart gas data center and an indoor gas safety management sub-platform, and the method is executed by the smart gas management platform, including:
the smart gas data center obtaining gas data of a first area from at least one gas detection device in the first area based on the indoor gas device sensor network platform, the first area being an area in a building where the gas detection device is installed, and the gas detection device being configured in the indoor gas device object platform;
the indoor gas safety management sub-platform configured to:
obtain the gas data of the first area from the smart gas data center, and predict a gas concentration of a second area based on the gas data of the first area, the second area being an area in the building where the gas detection device is not installed; wherein to predict the gas concentration of the second area, the method further comprises:
constructing a building graph based on nodes and edges, wherein the nodes of the building graph correspond to first sub-areas in the building, and the edges of the building graph correspond to passages between the first sub-areas; and
determining gas concentration of each node in the second area through processing the building graph by a graph neural network model;
judge whether the gas leakage occurs and determine a diffusion range of the gas leakage based on the gas data of the first area and the gas concentration of the second area, and determine an emergency treatment plan;
send gas leakage information to the smart gas data center, and further send the gas leakage information to the smart gas user platform based on the smart gas service platform; and
generate a remote control instruction based on the emergency treatment plan and send the remote control instruction to the smart gas data center, and send the remote control instruction to the indoor gas device object platform to execute control based on the indoor gas device sensor network platform.