用于污水管网的运行状态信息智能管理方法及系统
By constructing a sequence of abnormal event propagation paths and verifying it using a hydraulic model, the problem of identifying the propagation relationships of abnormal events in sewage pipe networks was solved. This enabled accurate location of the source of the abnormality and accurate prediction of its impact range, thereby improving management efficiency and accuracy.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- WENZHOU DATA GRP CO LTD
- Filing Date
- 2025-09-02
- Publication Date
- 2026-07-17
AI Technical Summary
Existing wastewater pipeline monitoring methods cannot accurately identify the propagation relationships of abnormal events, resulting in the inability to accurately locate the source of the anomaly and predict its impact range, increasing operation and maintenance costs and potentially misjudging the nature of the anomaly.
By constructing a sequence of abnormal event propagation paths and calculating the fluid propagation delay time using a sewage pipe network hydraulic model, we can screen for real abnormal associated paths and update the sewage pipe network operation status information.
It enables accurate location of abnormal events and accurate prediction of their impact range, improving the accuracy and efficiency of sewage pipe network management and avoiding repeated investigations and misjudgments.
Smart Images
Figure CN121071740B_ABST