YUYan,WANGYing-lu,ZHAOQi-han.Dynamic Monitoring and Early Warning of Urban Drainage Network and Overflow Prediction[J].China Water & Wastewater,2024,40(17):123-130.
Dynamic Monitoring and Early Warning of Urban Drainage Network and Overflow Prediction
China Water & Wastewater[ISSN:1000-4062/CN:12-1073/TU]
volume:
第40卷
Number:
第17期
Page:
123-130
Column:
Date of publication:
2024-09-01
- Keywords:
- urban drainage network; dynamic warning; long-short term memory (LSTM) neural network; overflow prediction
- Abstract:
- An online monitoring and early warning system for urban drainage network was established to address the issues of the inadequate monitoring capabilities of China’s drainage network operation, enabling timely detection and prevention of drainage accidents. Firstly, the liquid level of the drainage network was monitored online in real-time using pressure and ultrasonic level meters. Secondly, the relationships between upstream and downstream drainage pipe network water levels, well liquid levels and overflow, and rainfall and future liquid levels were investigated based on the analysis of liquid level monitoring data, pipe network geographic information data, and topological data of the drainage network. The system ultimately achieved the functionalities of multi-stage dynamic warning and overflow prediction for the liquid level in urban drainage networks, aiming to provide technical support for comprehensive perception of drainage network status and real?time monitoring of liquid level anomalies.
Last Update:
2024-09-01