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.

中文翻译：

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基于GA-BP算法的城市供水管网流量和压力预测研究

为实现城市供水管网系统的优化调度和节能降耗，提出一种基于遗传算法和BP神经网络的供水管网流量和压力预测方法。建立城市供水管网流量和压力预测模型，并通过供水监测系统获取的数据对模型进行检验和验证，为城市供水管网优化运行提供控制依据。