US-20260127687-A1 - ENERGY-SAVING MONITORING METHODS AND INTERNET OF THINGS SYSTEMS FOR INTELLIGENT GAS PIPELINE DEVICES

US20260127687A1US 20260127687 A1US20260127687 A1US 20260127687A1US-20260127687-A1

Abstract

An energy-saving monitoring method for an intelligent gas pipeline device is provided. The method is executed by a gas company management platform of an energy-saving monitoring Internet of Things (IoT) system for the intelligent gas pipeline device. The method may include: obtaining importance levels of a plurality of gas pipelines from a data center of a government safety management sub-platform, invoking device information of a plurality of sets of monitoring devices corresponding to the plurality of gas pipelines, and determining a monitoring strategy based on the importance levels and the device information; determining a target device among the plurality of sets of monitoring devices and an energy-saving level corresponding to the target device at least based on the monitoring strategy, and determining an energy-saving control parameter based on the energy-saving level; and generating a control instruction based on the energy-saving control parameter.

Inventors

Zehua Shao
Bin Liu
Feng Wang
Zhubin CHENG

Assignees

CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.

Dates

Publication Date: 20260507
Application Date: 20251229
Priority Date: 20251117

Claims (19)

1 . An energy-saving monitoring method for an intelligent gas pipeline device, executed by a gas company management platform of an energy-saving monitoring Internet of Things (IoT) system for the intelligent gas pipeline device, comprising: obtaining importance levels of a plurality of gas pipelines from a data center of a government safety management sub-platform, invoking device information of a plurality of sets of monitoring devices corresponding to the plurality of gas pipelines, and determining a monitoring strategy based on the importance levels and the device information, wherein each of the plurality of sets of monitoring devices includes a monitoring module and a communication module; determining a target device among the plurality of sets of monitoring devices and an energy-saving level corresponding to the target device at least based on the monitoring strategy, and determining an energy-saving control parameter based on the energy-saving level, wherein the energy-saving control parameter includes at least one of an operating mode of the target device, an energy-saving collection frequency, and a data transmission volume; and sending the energy-saving control parameter to an intelligent gas government safety supervision management platform, and generating a control instruction based on the energy-saving control parameter in response to obtaining confirmation information from the intelligent gas government safety supervision management platform; wherein the control instruction is configured to control the target device to perform at least one of the following operations: controlling the communication module of the target device to turn on or turn off based on the operating mode in the energy-saving control parameter, controlling the target device to perform data collection according to the energy-saving collection frequency via the monitoring module, and controlling the target device to perform data transmission based on the data transmission volume via the communication module.
2 . The method according to claim 1 , wherein the importance levels further include data priorities, and the monitoring strategy includes a non-target device and a collection frequency corresponding to the non-target device, the method further comprises: determining the data priorities of the plurality of gas pipelines in a preset period based on pipeline information of the plurality of gas pipelines and status information of the plurality of gas pipelines; determining the non-target device among the plurality of sets of monitoring devices and the collection frequency of the non-target device based on the data priorities and the device information; and controlling the non-target device to perform data collection in the preset period based on the collection frequency.
3 . The method according to claim 2 , wherein the device information further includes power consumption information of the plurality of sets of monitoring devices, the method further comprises: determining an estimated power consumption rate and an estimated remaining power of each of the plurality of sets of monitoring devices at one or more time points in the preset period based on historical power consumption information of each of the plurality of sets of monitoring devices; in response to existence of a warning time point at which the estimated remaining power is not higher than a warning power level, generating warning information based on the warning time point and sending the warning information to an associated user terminal; and in response to the estimated remaining power of the non-target device not being higher than the warning power level, adjusting the collection frequency based on a preset rule, and controlling the non-target device to perform data collection based on the adjusted collection frequency, wherein the preset rule is related to the estimated remaining power and the warning power level.
4 . The method according to claim 3 , wherein the warning power level is related to at least one of a historical control parameter and a sensing variation feature of each of the plurality of sets of monitoring devices.
5 . The method according to claim 2 , further comprising: determining an energy-saving management demand of the plurality of gas pipelines in a future period through an evaluation model, wherein the evaluation model is a machine learning model; and in response to the energy-saving management demand being that an energy-saving management is acquired, determining the monitoring strategy based on the importance levels of the plurality of gas pipelines and the device information.
6 . The method according to claim 5 , wherein the evaluation model includes a first sub-model and a second sub-model; an input of the first sub-model includes a time node sequence, the importance levels of the plurality of gas pipelines, fault information, and the device information of the plurality of monitoring devices corresponding to the plurality of gas pipelines, and an output of the first sub-model includes an energy-saving demand sequence corresponding to the time node sequence; and an input of the second sub-model includes the time node sequence, the importance levels of the plurality of gas pipelines, the fault information, the device information, sensing data of the plurality of monitoring devices, and a data collection requirement, and an output of the second sub-model includes the energy-saving demand sequence and a period of interest; the method further comprises: in response to the data priorities meeting a preset condition, evaluating the energy-saving management demand of the plurality of gas pipelines based on the first sub-model; and in response to the data priorities not meeting the preset condition, evaluating the energy-saving management demand of the plurality of gas pipelines based on the second sub-model.
7 . The method according to claim 1 , further comprising: determining the target device based on the monitoring strategy; invoking sensing data collected by the target device from a gas appliance object platform via a gas company sensing network platform; determining a temperature threshold and a sensing variation feature based on the sensing data of the target device; determining the energy-saving level of the target device based on the temperature threshold and the sensing variation feature; and determining the energy-saving control parameter based on the energy-saving level.
8 . The method according to claim 7 , further comprising: constructing a gas pipeline network graph based on the device information of the target device and the sensing data; and determining the energy-saving control parameter through a determining model based on the gas pipeline network graph, wherein the determining model is a machine learning model.
9 . The method according to claim 7 , further comprising: during operation of the target device based on the energy-saving control parameter, in response to a current remaining power of the target device being not higher than a power threshold, adjusting the energy-saving control parameter, adjusting an initial flow rate of a target pipeline where the target device is located, and determining an updated flow rate value; determining an opening degree of a flow valve in the target pipeline based on the updated flow rate value, and controlling the flow valve to adjust based on the opening degree; and in response to the current remaining power of the target device being higher than the power threshold, controlling the target pipeline to perform gas delivery according to the initial flow rate and re-determining the energy-saving control parameter.
10 . An energy-saving Internet of Things (IoT) system for an intelligent gas pipeline device, comprising an intelligent gas government safety supervision management platform, an intelligent gas government safety supervision sensing network platform, an intelligent gas government safety supervision object platform, a gas company sensing network platform, and a gas appliance object platform; wherein the intelligent gas government safety supervision object platform includes a gas company management platform, and the gas company management platform is configured to: obtain importance levels of a plurality of gas pipelines from a data center of a government safety management sub-platform, invoke device information of a plurality of sets of monitoring devices corresponding to the plurality of gas pipelines, and determine a monitoring strategy based on the importance levels and the device information, wherein each of the plurality of sets of monitoring devices includes a monitoring module and a communication module; determine a target device among the plurality of sets of monitoring devices and an energy-saving level corresponding to the target device at least based on the monitoring strategy, and determine an energy-saving control parameter based on the energy-saving level, wherein the energy-saving control parameter includes at least one of an operating mode of the target device, an energy-saving collection frequency, and a data transmission volume; and send the energy-saving control parameter to an intelligent gas government safety supervision management platform, and generate a control instruction based on the energy-saving control parameter in response to obtaining confirmation information from the intelligent gas government safety supervision management platform; wherein the control instruction is configured to control the target device to perform at least one of the following operations: controlling the communication module of the target device to turn on or turn off based on the operating mode in the energy-saving control parameter, controlling the target device to perform data collection according to the energy-saving collection frequency via the monitoring module, and controlling the target device to perform data transmission based on the data transmission volume via the communication module.
11 . The system according to claim 10 , wherein the importance levels further include data priorities, the monitoring strategy includes a non-target device and a collection frequency corresponding to the non-target device, and the gas company management platform is further configured to: determine the data priorities of the plurality of gas pipelines in a preset period based on pipeline information of the plurality of gas pipelines and status information of the plurality of gas pipelines; determine the non-target device among the plurality of sets of monitoring devices and the collection frequency of the non-target device based on the data priorities and the device information; and control the non-target device to perform data collection in the preset period based on the collection frequency.
12 . The method of claim 11 , wherein the device information further includes power consumption information of the plurality of sets of monitoring devices, and the gas company management platform is further configured to: determine an estimated power consumption rate and an estimated remaining power of each of the plurality of sets of monitoring devices at one or more time points in the preset period based on historical power consumption information of each of the plurality of sets of monitoring devices; in response to existence of a warning time point at which the estimated remaining power is not higher than a warning power level, generate warning information based on the warning time point and sending the warning information to an associated user terminal; and in response to the estimated remaining power of the non-target device not being higher than the warning power level, adjust the collection frequency based on a preset rule, and control the non-target device to perform data collection based on the adjusted collection frequency, wherein the preset rule is related to the estimated remaining power and the warning power level.
13 . The system of claim 12 , wherein the warning power level is related to at least one of a historical control parameter and a sensing variation feature of each of the plurality of sets of monitoring devices.
14 . The system of claim 11 , wherein the gas company management platform is further configured to: determine an energy-saving management demand of the plurality of gas pipelines in a future period through an evaluation model, wherein the evaluation model is a machine learning model; and in response to the energy-saving management demand being that an energy-saving management is required, determine the monitoring strategy based on the importance levels of the plurality of gas pipelines and the device information.
15 . The system of claim 14 , wherein the evaluation model includes a first sub-model and a second sub-model; an input of the first sub-model includes a time node sequence, the importance levels of the plurality of gas pipelines, fault information, and the device information of the plurality of monitoring devices corresponding to the plurality of gas pipelines, and an output of the first sub-model includes an energy-saving demand sequence corresponding to the time node sequence; an input of the second sub-model includes the time node sequence, the importance levels of the plurality of gas pipelines, the fault information, the device information, sensing data of the plurality of monitoring devices, and a data collection requirement, and an output of the second sub-model includes the energy-saving demand sequence and a period of interest; and the gas company management platform is further configured to: in response to the data priorities of the plurality of gas pipelines meeting a preset condition, evaluate the energy-saving management demand of the plurality of gas pipelines based on the second sub-model.
16 . The system of claim 10 , wherein the gas company management platform is further configured to: determine the target device based on the monitoring strategy; invoke sensing data collected by the target device from a gas appliance object platform via a gas company sensing network platform; determine a temperature threshold and a sensing variation feature based on the sensing data of the target device; determine the energy-saving level of the target device based on the temperature threshold and the sensing variation feature; and determine the energy-saving control parameter based on the energy-saving level.
17 . The system of claim 16 , wherein the gas company management platform is further configured to: construct a gas pipeline network graph based on the device information of the target device and the sensing data; and determine the energy-saving control parameter through a determining model based on the gas pipeline network graph, wherein the determining model is a machine learning model.
18 . The system of claim 16 , wherein the gas company management platform is further configured to: during operation of the target device based on the energy-saving control parameter, in response to a current remaining power of the target device being not higher than a power threshold, adjust the energy-saving control parameter, adjust an initial flow rate of a target pipeline where the target device is located, and determine an updated flow rate value; determine an opening degree of a flow valve in the target pipeline based on the updated flow rate value, and control the flow valve to adjust based on the opening degree; and in response to the current remaining power of the target device being higher than the power threshold, control the target pipeline to perform gas delivery according to the initial flow rate and re-determining the energy-saving control parameter.
19 . A computer-readable storage medium, wherein the storage medium stores computer instructions, and when a computer reads the computer instructions from the storage medium, the computer executes the energy-saving monitoring method for the intelligent gas pipeline device according to claim 1 .

Description

CROSS-REFERENCE TO RELATED APPLICATIONS This application claims priority of Chinese Patent Application No. CN202511676384.3, filed on Nov. 17, 2025, the entire contents of which are hereby incorporated by reference. TECHNICAL FIELD The present disclosure generally relates to the field of gas pipeline network operation, and in particular to an energy-saving monitoring method and Internet of Things (IoT) system for an intelligent gas pipeline device. BACKGROUND To ensure the safe operation of gas pipeline networks, various devices are often installed along the gas pipelines to monitor, collect, and transmit relevant data. The operation of these devices relies on battery power. Without proper planning for their functioning, battery depletion may occur, necessitating on-site maintenance by personnel and disrupting normal data collection. Therefore, it is desirable to provide an energy-saving monitoring method and an Internet of Things system for an intelligent gas pipeline device to better perform energy-saving management of devices in the gas pipeline network. SUMMARY One or more embodiments of the present disclosure provide an energy-saving monitoring method for an intelligent gas pipeline device. The method is executed by a gas company management platform of an energy-saving monitoring IoT system for an intelligent gas pipeline device. The method includes: obtaining importance levels of a plurality of gas pipelines from a data center of a government safety management sub-platform, invoking device information of a plurality of sets of monitoring devices corresponding to the plurality of gas pipelines, and determining a monitoring strategy based on the importance levels and the device information, wherein each of the plurality of sets of monitoring devices includes a monitoring module and a communication module; determining a target device among the plurality of sets of monitoring devices and an energy-saving level corresponding to the target device at least based on the monitoring strategy, and determining an energy-saving control parameter based on the energy-saving level, wherein the energy-saving control parameter includes at least one of an operating mode of the target device, an energy-saving collection frequency, and a data transmission volume; and sending the energy-saving control parameter to an intelligent gas government safety supervision management platform, and generating a control instruction based on the energy-saving control parameter in response to obtaining confirmation information from the intelligent gas government safety supervision management platform. The control instruction is configured to control the target device to perform at least one of the following operations: controlling the communication module of the target device to turn on or turn off based on the operating mode in the energy-saving control parameter, controlling the target device to perform data collection according to the energy-saving collection frequency via the monitoring module, and controlling the target device to perform data transmission based on the data transmission volume via the communication module. One or more embodiments of the present disclosure provide an energy-saving monitoring Internet of Things (IoT) system for an intelligent gas pipeline device. The IoT system may include: an intelligent gas government safety supervision management platform, an intelligent gas government safety supervision sensing network platform, an intelligent gas government safety supervision object platform, a gas company sensing network platform, and an intelligent gas appliance object platform. The intelligent gas government safety supervision object platform includes a gas company management platform, and the gas company management platform is configured to implement the aforementioned energy-saving monitoring method for an intelligent gas pipeline device. One or more embodiments of the present disclosure provide a non-transitory computer-readable storage medium storing computer instructions. When reading the computer instructions in the storage medium, a computer may implement the energy-saving monitoring method for an intelligent gas pipeline device. BRIEF DESCRIPTION OF THE DRAWINGS The present disclosure will be further illustrated by way of exemplary embodiments. These exemplary embodiments will be described in detail with reference to the accompanying drawings. These embodiments are not limiting. In these embodiments, the same reference numerals denote the same structures, wherein: FIG. 1 is a schematic diagram illustrating a system structure of an energy-saving monitoring Internet of Things (IoT) system for an intelligent gas pipeline device according to some embodiments of the present disclosure; FIG. 2 is a flowchart illustrating an exemplary process for an energy-saving monitoring method for an intelligent gas pipeline device according to some embodiments of the present disclosure; FIG. 3 is a schematic diagram of de