Methods and systems for supervising safety ventilation of underground gas pipeline corridors based on internet of things

Patent metadata

Field	Value
Publication number	US-2024310006-A1
Application number	US-202418670686-A
Country	US
Kind code	A1
Filing date	May 21, 2024
Priority date	Apr 23, 2024
Publication date	Sep 19, 2024
Grant date	—

Abstract

A method and a system for supervising safety ventilation of an underground gas pipeline corridor based on Internet of Things (IoT) are provided. The method is executed by a gas company management platform. The method includes obtaining environmental data of a pipeline corridor segment of the underground gas pipeline corridor from a gas equipment object platform via a gas company sensing network platform, and obtaining pipeline corridor data of the underground gas pipeline corridor from a government supervision comprehensive database via a smart gas government safety supervision sensing network platform, wherein the pipeline corridor data include at least one of ventilation data, structural data, and distribution sequence data; determining a corrosion reaction degree of the pipeline corridor segment based on the environmental data and the pipeline corridor data; and adjusting a ventilation intensity of the pipeline corridor segment in response to the corrosion reaction degree meeting a predetermined adjustment condition.

First claim

What is claimed is:

1 . A method for supervising safety ventilation of an underground gas pipeline corridor based on Internet of Things (IoT), wherein the method is executed by a gas company management platform of a system for supervising safety ventilation of the underground gas pipeline corridor based on IoT, and the method comprises:
obtaining environmental data of a pipeline corridor segment of the underground gas pipeline corridor from a gas equipment object platform via a gas company sensing network platform, and obtaining pipeline corridor data of the underground gas pipeline corridor from a government supervision comprehensive database via a smart gas government safety supervision sensing network platform, wherein the pipeline corridor data include at least one of ventilation data, structural data, and distribution sequence data; determining a corrosion reaction degree of the pipeline corridor segment based on the environmental data and the pipeline corridor data; and adjusting a ventilation intensity of the pipeline corridor segment in response to the corrosion reaction degree meeting a predetermined adjustment condition.

2 . The method of claim 1 , wherein the distribution sequence data includes distribution information of groundwater at a plurality of consecutive time points, and the determining a corrosion reaction degree of the pipeline corridor segment based on the environmental data and the pipeline corridor data includes:
predicting a predicted sequence set of the pipeline corridor segment in a future time period based on the environmental data and the pipeline corridor data; and in response to the predicted sequence set meeting a predetermined warning condition, issuing a warning message.

3 . The method of claim 2 , wherein the predicting a predicted sequence set of the pipeline corridor segment in a future time period based on the environmental data and the pipeline corridor data includes:
predicting the predicted sequence set by a corrosion reaction model based on the environmental data, the pipeline corridor data, and a pipeline corrosion protection property, the corrosion reaction model being a machine learning model.

4 . The method of claim 3 , wherein the corrosion reaction model includes a data prognosis layer and an extent assessment layer, the environmental data includes prognostic environmental data, the predicting the predicted sequence set by a corrosion reaction model based on the environmental data, the pipeline corridor data, and a pipeline corrosion protection property includes:
determining prognostic data through the data prognosis layer based on a groundwater distribution map; and predicting the predicted sequence set based on the prognostic data, the environmental data, the pipeline corridor data, and the pipeline corrosion protection property via the extent assessment layer.

5 . The method of claim 2 , further comprising:
determining an estimated time period for which a predicted corrosion degree of the pipeline corridor segment meets a predetermined corrosion condition; and determining a subsequent maintenance program for the pipeline corridor segment based on the estimated time period, importance of the pipeline corridor segment, and historical maintenance data of the pipeline corridor segment.

6 . The method of claim 5 , wherein the estimated time period is determined based on the predicted sequence set and prognostic environmental data.

7 . The method of claim 1 , wherein the adjusting a ventilation intensity of the pipeline corridor segment in response to the corrosion reaction degree meeting a predetermined adjustment condition includes:
obtaining a maintenance effect of the pipeline corridor segment via the gas company sensing network platform via a gas company engineering maintenance object platform; and determining an adjusted duration of the ventilation intensity based on an estimated time period and the maintenance effect.

8 . The method of claim 7 , further comprising:
correcting the adjusted duration based on a corrosion change in the pipeline corridor segment.

9 . The method of claim 8 , wherein the correcting the adjusted duration based on a corrosion change in the pipeline corridor segment includes:
correcting the adjusted duration based on the corrosion change and historical adjustment data for the pipeline corridor segment.

10 . A system for supervising safety ventilation of an underground gas pipeline corridor based on Internet of Things (IoT), wherein the system includes a smart gas government safety supervision service platform, a smart gas government safety supervision management platform, a smart gas government safety supervision sensing network platform, a smart gas government safety supervision object platform, a gas company sensing network platform, and a gas equipment object platform, wherein
the smart gas government safety supervision service platform is configured to interact with the smart gas government safety supervision management platform; the smart gas government safety supervision management platform includes a government supervision comprehensive database; the smart gas government safety supervision object platform includes a gas company management platform; the smart gas government safety supervision sensing network platform is configured to interact with the smart gas government safety supervision management platform and the gas company management platform; the gas company sensing network platform is configured to interact with the gas equipment object platform and the gas company management platform; the gas company management platform is configured to: obtain environmental data of a pipeline corridor segment of the underground gas pipeline corridor from the gas equipment object platform via the gas company sensing network platform, and obtain pipeline corridor data of the underground gas pipeline corridor from the government supervision comprehensive database via the smart gas government safety supervision sensing network platform, wherein the pipeline corridor data include at least one of ventilation data, structural data, and distribution sequence data; determine a corrosion reaction degree of the pipeline corridor segment based on the environmental data and the pipeline corridor data, and transmit the corrosion reaction degree to the smart gas government safety supervision management platform via the smart gas government safety supervision sensing network platform; and adjust a ventilation intensity of the pipeline corridor segment in response to the corrosion reaction degree meeting a predetermined adjustment condition, and transmit an instruction for adjusting the ventilation intensity to the gas equipment object platform via the gas company sensing network platform.

11 . The system of claim 10 , wherein the distribution sequence data includes distribution information of groundwater at a plurality of consecutive time points, and the gas company management platform is further configured to:
predict a predicted sequence set of the pipeline corridor segment in a future time period based on the environmental data and the pipeline corridor data; and in response to the predicted sequence set meeting a predetermined warning condition, issue a warning message to the smart gas government safety supervision management platform via the smart gas government safety supervision sensing network platform.

12 . The system of claim 11 , wherein the gas company management platform is further configured to:
predict the predicted sequence set by a corrosion reaction model based on the environmental data, the pipeline corridor data, and a pipeline corrosion protection

Assignees

• Chengdu Qinchuan Iot Tech Co Ltd

Inventors

• Shao Zehua
• Li Yong
• Liu Bin
• Huang Guanghua

Classifications

• F17D5/005 Primary

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

• E21F1/00 Primary

  Ventilation of mines or tunnels; Distribution of ventilating currents (ventilating rooms or spaces in general F24F) · CPC title

• G16Y10/35

  Utilities, e.g. electricity, gas or water · CPC title

• G16Y40/10

  Detection; Monitoring · CPC title

• G06Q50/26

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