Methods and systems of environmental monitoring based on intelligent gas regulatory internet of things (Iots)

Patent metadata

Field	Value
Publication number	US-12475519-B2
Application number	US-202519057953-A
Country	US
Kind code	B2
Filing date	Feb 19, 2025
Priority date	Oct 29, 2024
Publication date	Nov 18, 2025
Grant date	Nov 18, 2025

Abstract

Embodiments of the present disclosure provide a method and system for environmental monitoring based on an intelligent gas regulatory IOTs, the method comprising: determining a target enterprise user and a corresponding target monitoring point location and a target monitoring parameter based on acquired gas regulatory data; determining a government environmental sampling parameter based on government environmental monitoring information, the target monitoring point location, and the target monitoring parameter, and obtaining surrounding environmental data based on the government environmental sampling parameter; controlling an environmental monitoring device to collect target monitoring data; determining a maintenance parameter based on the target monitoring data and the surrounding environmental data; generating a maintenance instruction based on an device operating state and the maintenance parameter; and adjusting the collection frequency of obtaining the gas regulatory data based on an execution result of the maintenance instruction and adjusting a storage space allocation parameter for the gas regulatory data of a different enterprise user, a data cleaning parameter; based on the collection frequency and the storage space allocation parameter, adjust a computing resource allocation parameter.

First claim

What is claimed is:

1 . A method for environmental monitoring based on intelligent gas regulatory Internet of Things (IOTs), the method being executed by a gas company management platform of an intelligent gas IOTs system, wherein the system comprises a government supervision and management platform, a government supervision sensor network platform, a government supervision object platform, a gas company sensing network platform, a gas device object platform, a gas user platform, and a gas service platform, and the government supervision object platform includes the gas company management platform;
the method comprising: obtaining gas regulatory data of at least one enterprise user based on the gas device object platform, and storing the gas regulatory data categorized by the at least one enterprise user in an environmental protection data center; wherein the gas regulatory data includes at least one of gas usage data, exhaust gas emission, and exhaust gas treatment device operation data, the gas device object platform is configured to interact with a plurality of gas devices and the gas company sensing network platform, the plurality of gas devices include at least one of a gas meter, a gas monitoring device, an environmental protection facility, and a maintenance device, the environmental protection data center is set up in the gas company management platform, and the gas device object platform sends the gas regulatory data to the gas company management platform through the gas company sensing network platform; determining, based on the gas regulatory data, at least one target enterprise user and at least one target monitoring point location and target monitoring parameter corresponding to the at least one target enterprise user, including:
for each of the at least one enterprise user, determining, based on the gas regulatory data corresponding to the enterprise user, a matching degree between the gas usage data and the exhaust gas emission with the exhaust gas treatment device operation data;
determining the at least one target enterprise user based on the matching degree; and
determining the at least one target monitoring point location and the target monitoring parameter corresponding to the at least one target enterprise user based on gas regulatory data of the at least one target enterprise user, including:
determining an environmentally sensitive region based on environmental information of the at least one target enterprise user;
determining, based on the environmentally sensitive region, at least one set of candidate monitoring point locations and corresponding candidate monitoring parameters;
assessing a data adequacy degree of environmental monitoring data under the at least one set of candidate monitoring point locations and the corresponding candidate monitoring parameters based on a data assessment model, wherein the data assessment model is a machine learning model, and the data assessment model includes a feature extraction layer and a data evaluation layer, wherein
inputs of the feature extraction layer include the at least one set of candidate monitoring point locations and the corresponding candidate monitoring parameters, and an output of the feature extraction layer includes a monitoring feature,
inputs of the data evaluation layer include the monitoring feature and the gas regulatory data, and an output of the data evaluation layer includes the data adequacy degree;
the feature extraction layer and the data evaluation layer of the data assessment model are acquired by a joint training based on a first training sample and a first training label, the first training sample includes an actual monitoring point location and a monitoring parameter in the historical data, and the first training label is an adequacy of historical monitoring data obtained based on the first training sample; and
a process of the joint training includes:
 inputting the first training sample into an initial feature extraction layer, and obtaining a sample monitoring feature outputted by the initial feature extraction layer;
 inputting the sample monitoring feature and sample gas regulatory data into an initial data evaluation layer, and obtaining a sample data adequacy degree outputted by the initial data evaluation layer;
 constructing a loss function based on the sample monitoring feature output from the initial feature extraction layer and the first training label,
 synchronously updating parameters of the initial feature extraction layer and the initial data evaluation layer; and
 obtaining the feature extraction layer and the data evaluation layer by parameter updating; and

determining the at least one target monitoring point locations and the target monitoring parameter based on the data adequacy degree;

sending the at least one target monitoring point location and the target monitoring parameter to a government gas management platform, determining, through the government gas management platform, a government environmental sampling parameter based on government environmental monitoring information, the at least one target monitoring point location, and the target monitoring parameter, sampling based on the government environmental sampling parameter to obtain surrounding environmental data, and sending the surrounding environmental data to the gas company management platform; controlling an environmental monitoring device to monitor the at least one target monitoring point location according to the target monitoring parameter to determine target monitoring data, wherein the environmental monitoring device includes at least one of a fixed monitoring device and a mobile monitoring device; determining, based on the target monitoring data and the surrounding environmental data, a device maintenance parameter for the at least one target enterprise user, wherein the device maintenance parameter includes a maintenance process and a maintenance time, wherein the maintenance process includes at least one of device cleaning, consumable replacement, device overhaul, and device upgrading; generating, based on a device operating state and the maintenance parameter, at least one maintenance instruction, and sending, through the gas user platform, the at least one maintenance instruction to the corresponding target enterprise user respectively, including:
in response to a determination that the device operating state is poor, generating the maintenance instruction based on the device maintenance parameter;
in response to receiving confirmation feedback from the at least one target enterprise user of the maintenance instruction, controlling the maintenance device to execute the maintenance instruction based on the gas company sensing network platform, wherein the maintenance device includes a cleaning device and an overhauling device; obtaining an execution result of the at least one maintenance instruction, adjusting, based on the execution result, a collection frequency of the gas device object platform for obtaining the gas regulatory data, and adjusting at least one of a storage space allocation parameter and a data cleaning parameter of the environmental protection data center for the gas regulatory data of each of the at least one enterprise user, wherein the storage space allocation parameter is determined based on the collection frequency; and adjusting, based on the collection frequency and the storage space allocation parameter, a computing resource allocation parameter of the gas company management platform for supervision of each of the at least one enterprise user, wherein the higher the collection frequency and the larger the storage space allocation parameter, the larger the computing resource allocation parameter.

2 . The method of claim 1 , wherein the for each of the at least one enterprise user, determining, based on the gas regulatory data correspon

Assignees

• Chengdu Qinchuan Iot Tech Co Ltd

Inventors

• Shao Zehua
• Quan Yaqiang
• Zhou Junyan
• Wang Feng

Classifications

• G06Q30/018

  Certifying business or products · CPC title

• G06Q10/20 Primary

  Administration of product repair or maintenance · CPC title

• G06Q50/06 Primary

  Energy or water supply · CPC title

• G01N33/0042

  SO2 or SO3 · CPC title

• G01N33/0037

  NOx · CPC title