Pipeline Leak Identification and Prediction of Urban Water Supply Network System with Deep Learning Artificial Neural Network
Fei Xi,
Luyi Liu,
Liyu Shan
et al.
Abstract:Pipeline leakage, which leads to water wastage, financial losses, and contamination, is a significant challenge in urban water supply networks. Leak detection and prediction is urgent to secure the safety of the water supply system. Relaying on deep learning artificial neural networks and a specific optimization algorithm, an intelligential detection approach in identifying the pipeline leaks is proposed. A hydraulic model is initially constructed on the simplified Net2 benchmark pipe network. The District Met… Show more
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