Pipeline leak detection method and device, computer equipment and storage medium

By dividing the water supply network into zones and deploying capsule robots for dynamic inspection, combined with multi-source data fusion processing and positioning models, the problem of accurate location of leaks in the water supply network was solved, achieving sub-meter level positioning and efficient detection.

CN122129657APending Publication Date: 2026-06-02GUANGDONG KEHAI INTELLIGENT BUILDING TECHNOLOGY CO LTD
View PDF 0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GUANGDONG KEHAI INTELLIGENT BUILDING TECHNOLOGY CO LTD
Filing Date
2026-02-04
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Existing technologies cannot achieve multi-source data fusion analysis within water supply networks, making it difficult to accurately locate leak points and meet the real-time and accuracy requirements of smart water supply systems.

Method used

The water supply network is divided into zones, and capsule robots equipped with pressure sensors, ultrasonic flow sensors, and cameras are deployed to conduct dynamic inspections, acquire multi-source data, and achieve precise location of leakage points through multi-source data fusion processing and pipeline leakage location models.

Benefits of technology

It has achieved sub-meter-level location of leaks in the water supply network, reduced the false alarm rate of leak detection, and improved the efficiency and accuracy of inspections.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122129657A_ABST
    Figure CN122129657A_ABST
Patent Text Reader

Abstract

This application belongs to the field of smart water technology and relates to a pipeline leak detection method. The method includes: dividing the water supply network into zones to obtain target monitoring areas; deploying capsule robots to the target monitoring areas for dynamic inspection to obtain target survey data; the capsule robots are equipped with at least a pressure sensor, an ultrasonic flow sensor, and a camera; performing multi-source data fusion processing based on the target survey data and the target monitoring areas to obtain the target pipeline leak location; using the capsule robots to accurately locate the target pipeline leak location to obtain pipeline leak coordinates; performing leak detection based on the pipeline leak coordinates to obtain leak information; and uploading the leak information to a maintenance platform for leak alarm. This application combines macroscopic monitoring of DMA zones with microscopic inspection by capsule robots to achieve sub-meter-level positioning of leak points, reducing the false alarm rate of leak detection and improving inspection efficiency.
Need to check novelty before this filing date? Find Prior Art