Methods and internet of things systems for monitoring smart gas pipeline network construction

US2025037216A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2025037216-A1
Application numberUS-202418912546-A
CountryUS
Kind codeA1
Filing dateOct 10, 2024
Priority dateAug 14, 2024
Publication dateJan 30, 2025
Grant date

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Abstract

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A method and an Internet of Things (IoT) system for monitoring smart gas pipeline network construction are provided. The method is performed by a smart gas government supervision and management platform, including obtaining, in response to construction information being updated, supervisory data of a construction supervision area; determining a construction state of a construction pipeline; in response to the construction state meeting a first condition, generating a material transportation instruction based on the construction information and environmental data; in response to the construction state meeting a second condition, generating a gas supply regulation instruction of the construction supervision area based on at least one of the construction information, the environmental data, and gas usage data; obtaining a first update frequency of the material transportation instruction; and adjusting a current monitoring parameter of the smart gas equipment object platform based on the first update frequency and a second update frequency.

First claim

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What is claimed is: 1 . A method for monitoring smart gas pipeline network construction, wherein the method is performed by a smart gas government supervision and management platform of an Internet of Things (IoT) system for monitoring smart gas pipeline network construction, and the method comprises: obtaining update situation of construction information corresponding to a construction pipeline in a construction supervision area, and obtaining, in response to determining that the construction information is updated, supervisory data of the construction supervision area; storing the supervisory data in a government supervisory integrated database of the smart gas government supervision and management platform according to a preset rule, the government supervisory integrated database being configured as a memory, wherein the supervisory data includes the construction information, environmental data of the construction supervision area, and gas usage data of a pipeline to be constructed in the construction supervision area; determining a construction state of the construction pipeline; in response to the construction state meeting a first condition, generating a material transportation instruction for the construction pipeline based on the construction information and the environmental data; and sending the material transportation instruction to a transportation device to control the transportation device to transport material according to a material transportation parameter; in response to the construction state meeting a second condition, generating a gas supply regulation instruction of the construction supervision area based on at least one of the construction information, the environmental data, and the gas usage data; and sending the gas supply regulation instruction to a smart gas equipment object platform corresponding to the construction supervision area to control a gas supply parameter in the construction supervision area; obtaining a first update frequency of the material transportation instruction and a second update frequency of the gas supply regulation instruction from the government supervisory integrated database; adjusting a current monitoring parameter of the smart gas equipment object platform based on the first update frequency and the second update frequency; allocating a size of a storage partition occupied by the supervisory data and gas safety data in the government supervisory integrated database based on an adjusted monitoring parameter; and determining a priority of calculating resource allocation when a processor of the smart gas government supervision and management platform processes different types of data. 2 . The method of claim 1 , wherein the IoT system for monitoring smart gas pipeline network construction further includes a smart gas government supervision sensing network platform, a smart gas government supervision object platform, a smart gas company sensing network platform, the smart gas equipment object platform, and a gas user object platform; the smart gas government supervision and management platform includes the government supervisory integrated database; and the smart gas government supervision object platform includes a smart gas company management platform. 3 . The method of claim 1 , wherein the generating a material transportation instruction for the construction pipeline based on the construction information and the environmental data includes: assessing a traffic impact risk of the construction pipeline based on the construction information and the environmental data, wherein the traffic impact risk characterizes an impact of a traffic factor on a timeliness of material transportation; and determining the material transportation instruction based on the traffic impact risk. 4 . The method of claim 3 , wherein the assessing a traffic impact risk of the construction pipeline based on the construction information and the environmental data, includes: generating a candidate transportation parameter based on the construction information; and determining the traffic impact risk of a current construction pipeline by a risk assessment model when transporting materials based on the candidate transportation parameter, the risk assessment model being a machine learning model. 5 . The method of claim 4 , wherein an input of the risk assessment model further includes resource information corresponding to a dispatchable transportation resource and demand information corresponding to a material transportation need. 6 . The method of claim 4 , wherein the determining the material transportation instruction based on the traffic impact risk includes: determining the candidate transportation parameter meeting a preset condition as a target transportation parameter; and determining the material transportation instruction based on the target transportation parameter. 7 . The method of claim 3 , further comprising: in response to the traffic impact risk not meeting a first control condition, adjusting a current construction plan of the construction pipeline based on the traffic impact risk and the gas usage data and determining an updated construction plan; and storing the updated construction plan into the smart gas company management platform. 8 . The method of claim 7 , wherein the adjusting a current construction plan of the construction pipeline based on the traffic impact risk and the gas usage data and determining an updated construction plan includes: obtaining an associated construction pipeline and a material transportation risk of the candidate transportation parameter; constructing a construction pipeline network graph based on associated construction information of the associated construction pipeline and associated construction data; and determining, based on the construction pipeline network graph, the updated construction plan by a construction adjustment model, the construction adjustment model being a machine learning model. 9 . The method of claim 8 , wherein the construction adjustment model is obtained by training an initial adjustment model; wherein a training sample includes a sample construction pipeline network graph, and the sample construction pipeline network graph is constructed based on historical construction data; and the method further comprises: obtaining a historical adjustment plan and historical construction information corresponding to the sample construction pipeline network graph; determining an adjustment effect of the historical adjustment plan based on the historical construction information; optimizing the historical adjustment plan based on the adjustment effect to obtain an optimized plan; and determining a label of the training sample based on the optimized plan. 10 . The method of claim 1 , wherein the generating a gas supply regulation instruction of the construction supervision area based on at least one of the construction information, the environmental data, and the gas usage data includes: assessing a gas construction risk based on at least one of the construction information, the environmental data, and the gas usage data, the gas construction risk including at least one of a gas supply loss risk and a safety loss risk; and determining the gas supply regulation instruction based on the gas construction risk. 11 . The method of claim 10 , wherein the assessing a gas construction risk based on at least one of the construction information, the environmental data, and the gas usage data includes: determining a construction time based on the construction information; and determining a gas supply loss value of the construction time based on the

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Classifications

  • Government or public services (business processes related to the transportation industry G06Q50/40) · CPC title

  • G06Q50/06Primary

    Energy or water supply · CPC title

  • Certifying business or products · CPC title

  • Construction · CPC title

  • Risk analysis of enterprise or organisation activities · CPC title

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What does patent US2025037216A1 cover?
A method and an Internet of Things (IoT) system for monitoring smart gas pipeline network construction are provided. The method is performed by a smart gas government supervision and management platform, including obtaining, in response to construction information being updated, supervisory data of a construction supervision area; determining a construction state of a construction pipeline; in …
Who is the assignee on this patent?
Chengdu Qinchuan Iot Tech Co Ltd
What technology area does this patent fall under?
Primary CPC classification G06Q50/06. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Jan 30 2025 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).