Method for early warning of piping breach hidden danger of reservoir dam

By collecting real-time data on dam seepage pressure, seepage flow, and deformation to generate abnormal signals, and combining this with video monitoring and visual recognition models, the problem of false alarms and missed alarms in existing dam piping monitoring technologies has been solved, enabling highly accurate dynamic early warning and emergency resource allocation.

CN122392278APending Publication Date: 2026-07-14SICHUAN DUMBXIANG ECOLOGICAL ENVIRONMENT TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SICHUAN DUMBXIANG ECOLOGICAL ENVIRONMENT TECHNOLOGY CO LTD
Filing Date
2026-05-29
Publication Date
2026-07-14

AI Technical Summary

Technical Problem

Existing dam safety monitoring systems struggle to accurately identify localized seepage pressure anomalies or subtle deformations in the early stages of piping development. They also lack multi-source data correlation analysis, leading to false alarms and missed alarms. Furthermore, their early warning accuracy is low, hindering the rational allocation of emergency resources.

Method used

By collecting real-time data on seepage pressure, seepage flow, and deformation, abnormal piping event signals are generated. Combined with video monitoring and a piping visual recognition model, visual feature analysis and data consistency verification are performed to calculate the comprehensive early warning confidence level, thereby achieving dynamic confidence assessment and differentiated early warning.

Benefits of technology

It improves the accuracy of identifying piping breach hazards and the efficiency of emergency response. By aligning and verifying the time axis of multi-source data, it outputs differentiated early warning levels to help determine the development stage of piping and rationally allocate emergency resources.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application relates to reservoir dam piping breach hidden danger early warning method, relates to dam safety monitoring technical field, including real time collection dam seepage pressure, seepage flow and deformation monitoring data;The present application is through the automatic identification and signal generation of abnormal piping event, extracts the change point and confidence of wet spot area through the piping visual recognition model, combines the cumulative deviation analysis of seepage pressure gauge, inclinometer historical time series data, comprehensive visual recognition confidence and data coincidence degree confidence, calculates comprehensive early warning confidence, realizes dynamic confidence evaluation, according to the preset confidence threshold, outputs the differential early warning level, generates data change trend characteristics by inquiring the historical time series data of target area, realizes the purpose of auxiliary judgment piping development stage, and the data change trend characteristics and visual feature recognition result are verified on time axis alignment, and data coincidence degree confidence is obtained, according to visual recognition confidence and data coincidence confidence, and output early warning level.
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