Methods, internet of things (IoT) systems, and media for presetting emergency devices of smart gas

Patent metadata

Field	Value
Publication number	US-12123553-B2
Application number	US-202318539219-A
Country	US
Kind code	B2
Filing date	Dec 13, 2023
Priority date	Oct 24, 2023
Publication date	Oct 22, 2024
Grant date	Oct 22, 2024

Abstract

The present disclosure provides a method, an Internet of Things (IoT) system, and a medium for presetting emergency devices of smart gas. The method comprises determining gas supply and demand features based on node data and downstream user features of a gas pipeline network. The method also comprises determining a plurality of gas emergency regions based on the gas supply and demand features, and continuously obtaining location data and carrying data of a plurality of emergency devices. The method further comprises determining a dynamic deployment scheme for the plurality of emergency devices based on the plurality of gas emergency regions, the location data, and the carrying data, the dynamic deployment scheme including locations of the plurality of emergency devices of at least one time point, generating a movement instruction based on the dynamic deployment scheme, and sending the movement instruction to the plurality of emergency devices.

First claim

What is claimed is:

1. A method for presetting emergency devices of smart gas, implemented by a smart gas pipeline network safety management platform of an Internet of Things (IoT) system of smart gas, comprising:
determining gas supply and demand features based on node data and downstream user features of a gas pipeline network, the node data being obtained based on sensors;
determining a plurality of gas emergency regions based on the gas supply and demand features;
continuously obtaining location data and carrying data of a plurality of emergency devices, the plurality of emergency devices being distributed in a distributed manner;
determining weighted distances between different gas emergency regions, the weighted distances being used to measure a correlation between different gas emergency regions;
determining gas placement locations based on the weighted distances;
determining a dynamic deployment scheme for the plurality of emergency devices based on the gas placement locations and device data, the dynamic deployment scheme including locations of the plurality of emergency devices of at least one time point, and the device data being data related to the plurality of emergency devices, including locations and gas supply capacities of the plurality of emergency devices; and
generating a movement instruction based on the dynamic deployment scheme, and sending the movement instruction to the plurality of emergency devices.

2. The method of claim 1 , wherein the determining a plurality of gas emergency regions based on the gas supply and demand features includes:
determining a regional division of the gas pipeline network; and
determining the plurality of gas emergency regions based on the regional division and the gas supply and demand features.

3. An Internet of Things (IoT) system for emergency device management of smart gas, wherein the IoT system includes a smart gas user platform, a smart gas service platform, a smart gas pipeline network safety management platform, a smart gas sensor network platform, and a smart gas pipeline network object platform;
the smart gas pipeline network safety management platform is configured to:
determine gas supply and demand features based on node data and downstream user features of a gas pipeline network, the node data being obtained based on sensors;
determine a plurality of gas emergency regions based on the gas supply and demand features;
continuously obtain location data and carrying data of a plurality of emergency devices, the plurality of emergency devices being distributed in a distributed manner;
determine weighted distances between different gas emergency regions, the weighted distances being used to measure a correlation between different gas emergency regions;
determine gas placement locations based on the weighted distances;
determine a dynamic deployment scheme for the plurality of emergency devices based on the gas placement locations and device data, the dynamic deployment scheme including locations of the plurality of emergency devices of at least one time point, and the device data being data related to the plurality of emergency devices, including locations and gas supply capacities of the plurality of emergency devices; and
generate a movement instruction based on the dynamic deployment scheme, and send the movement instruction to the plurality of emergency devices.

4. The IoT system of claim 3 , wherein the smart gas pipeline network safety management platform includes a smart gas pipeline network risk assessment management sub-platform and a smart gas data center;
the smart gas pipeline network safety management platform performs information interaction with the smart gas service platform and the smart gas pipeline network sensor network platform through the smart gas data center.

5. The IoT system of claim 4 , wherein the smart gas pipeline network safety management platform is further configured to:
determine a regional division of the gas pipeline network; and
determine the plurality of gas emergency regions based on the regional division and the gas supply and demand features.

6. A non-transitory computer-readable storage medium, comprising computer instructions that, when read by a computer, direct the computer to implement the method for presetting the emergency devices of smart gas of claim 1 .

Assignees

• Chengdu Qinchuan Iot Tech Co Ltd

Inventors

• Shao Zehua
• Quan Yaqiang
• Wang Quan
• Huang Guanghua

Classifications

• G06Q50/06

  Energy or water supply · CPC title

• G06Q10/20

  Administration of product repair or maintenance · CPC title

• F17D5/005 Primary

  of gas pipelines, e.g. alarm · CPC title

• G06Q10/06312 Primary

  Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling · CPC title