Large pipe network measurement anomaly whole chain closed loop tracking early warning method
By identifying initial abnormal nodes in the pipeline network and extracting multi-dimensional time-frequency features, constructing a propagation model and setting a spatiotemporal search window, and iteratively verifying or tracing back and forward verifying, the problems of low computational efficiency, inaccurate positioning accuracy, and insufficient multi-path verification in large municipal pipeline networks are solved, and efficient anomaly early warning and positioning are achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SICHUAN JOOMON SCI-TECH CO LTD
- Filing Date
- 2026-06-16
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies are not computationally efficient in large municipal pipe networks, are prone to errors in matching abnormal signals across nodes, cannot adaptively adjust model parameters online, lack multi-path closed-loop verification mechanisms, and cannot handle non-leakage anomalies such as meter damage, resulting in high false alarm and false alarm rates.
By identifying initial abnormal metering nodes in the pipeline network, extracting multidimensional time-domain and frequency-domain feature vectors, generating candidate tracing chains with initial weights, constructing a propagation model and setting a spatiotemporal search window, using multidimensional first-order residual vectors to correct model parameters, and iteratively verifying or jointly reverse tracing and forward verification to form a closed loop.
It achieves accurate cross-node matching of abnormal signals, reduces computational burden, dynamically adapts to actual pipeline network conditions, supports handling of abnormal scenarios with multiple paths coexisting, and improves the response speed and positioning reliability of abnormal early warning.
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Abstract
Citation Information
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