基于人工神经网络的城市给水管网宏观模型设计

Macro Model Design of City Water Supply Network Based on Artificial Neural Network

为实现城市给水的调度优化,提高给水工作的可靠性,探讨了神经网络方法在给水管网模型设计中的适用性,应用人工神经网络的方法建立了城市给水管网的宏观模型,并用训练好的模型对未来时刻的测压点压力进行宏观模拟。通过实测对比,利用该模型进行模拟的各项误差指标均达到了较高的要求,充分说明了用神经网络的方法设计城市给水管网宏观模型的可行性以及该模型用于压力模拟的可靠性。

In order to realize the scheduling optimization of urban water supply and increase the reliability of water supply work, the applicability of neural network method in designing water supply network model was discussed. Building city water supply networks macro model with Artificial Neural Network methods and carrying on the macro simulation of the pressure measurement point for the future moment with the model trained perfectly, through measuring by contrast, all of the neural network＇s error index accord with the demands, which illustrate the feasibility of designing the model with neural network method and the reliability of the model applied in pressure simulation.