Open AccessResearch on flow and pressure prediction of urban water supply pipeline network based on GA-BP algorithm
Author(s) -
Wei Xia,
Yongyou Wang,
Runhao Liu,
Shi Wang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1792/1/012045
Subject(s) - water supply , pipeline (software) , water supply network , artificial neural network , pipeline transport , scheduling (production processes) , energy supply , computer science , genetic algorithm , flow (mathematics) , real time computing , engineering , energy (signal processing) , environmental engineering , machine learning , mathematics , operations management , statistics , geometry , programming language
In order to realize the optimal scheduling and energy saving of urban water supply pipeline system, a method of flow and pressure prediction of water supply pipeline network based on genetic algorithm and BP neural network is proposed in the paper. The flow and pressure prediction models of urban water supply network are built, then tests and verifies the models by the dates obtained from the water supply monitoring system, so as to provide control basis for optimal operation of urban water supply pipeline network.