Intelligent gas pipe network anti-freezing management internet of things system, method and medium

The intelligent gas pipeline antifreeze management IoT system solves the problem of determining antifreeze injection parameters through data analysis and equipment control, effectively preventing hydrate freezing in gas pipelines and improving gas transmission efficiency and safety.

CN121782515BActive Publication Date: 2026-05-26CHENGDU QINCHUAN IOT TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHENGDU QINCHUAN IOT TECH CO LTD
Filing Date
2026-02-25
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

How to determine appropriate antifreeze injection parameters and injection areas to reduce the impact of hydrate freezing in gas pipelines, improve gas transmission efficiency, and reduce energy consumption.

Method used

The smart gas pipeline antifreeze management IoT system utilizes a data center to obtain historical cleaning and maintenance data for the pipeline area, generates influence curves, generates antifreeze injection parameters based on current deposition and transport data, controls the injection of antifreeze injection equipment, and combines heating devices to regulate pipeline temperature, thereby optimizing the distribution and injection amount of antifreeze.

Benefits of technology

It enables precise and efficient addition of antifreeze, reduces the impact of hydrate freezing, improves gas transportation efficiency, reduces gas transportation risks, and ensures stable pipeline operation.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention provides an intelligent gas pipeline antifreeze management IoT system, method, and medium, relating to the field of natural gas transmission technology. The method is executed by the intelligent gas company management platform of the intelligent pipeline antifreeze management IoT system. The method includes: determining historical deposition data for the pipeline area based on historical pipeline cleaning data; generating a first influence curve based on the historical deposition data and historical maintenance data; determining a deposition influence value every preset period based on the current deposition data and the first influence curve; when the value exceeds a first preset threshold, generating antifreeze injection parameters based on the current transmission data and planned transmission data for the pipeline area; and sending the antifreeze injection parameters to the intelligent gas equipment object platform to control the antifreeze injection equipment to inject antifreeze into the corresponding pipeline. This invention can effectively reduce the impact of hydrate freezing inside gas pipelines, improve gas transmission efficiency, and reduce energy consumption.
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