【作者】 周鹏；

【导师】 罗大庸；

【作者基本信息】 中南大学 ， 计算机应用技术， 2008， 硕士

【摘要】 供水系统是城市基础建设的重要组成部分,它不仅直接关系到城市居民的生活质量、而且极大的影响城市的经济发展,对于社会的安全稳定也有着重要的作用。然而目前城市供水系统的不合理运行产生了较多的水资源浪费、管网漏水甚至爆管等等问题,严重影响着供水安全。本文以长沙市供水管网为依托,着重研究如何建立合理的给水管网优化模型并进行有效的求解。时用水量的预测是优化调度的前提和基础。本文建立了时用水量预测的模型群,利用广义神经网络预测模型进行了时用水量的预测。模型群的建立有效提高了预测算法的运算速度和预测精度。根据水力学相关知识,供水管网参数中的测压点压力是供水优化调度模型的水力约束条件,而水厂供水量是优化调度目标函数的参数变量。由于管网的复杂多样性,难以建立它们的机理模型,本文建立了基于BP神经网络的测压点宏观压力模型以及水厂供水量与水厂出口水压、管网总用水量之间的宏观模型,为供水优化调度奠定基础。本文以水厂出口压力为决策变量,以水厂电耗最小为优化目标,以测压点压力为约束条件建立了供水一级优化调度模型。给出了模型求解的改进PSO算法,得到优化调度方案。最后,本文初步设计开发了一个供水优化调度系统,对上述建模和优化调度算法加以实现。更多还原

【Abstract】 Water supply was an important component of urban infrastructure,it was not only directly related to the quality of life of urban residents,but also had a great influence for the development of urban economy,not to mention social security and stability. However,recently irrationality of urban water supply had produced a mass of water wasting,pipeline leaks and so on, which made some rather serious production.This paper was to based on Changsha city’s water supply networks,and made an emphasization about how to build a rational water supply model and made a efficiently solve.Water consumption forecast of urban’s water network was the precondition and foundation.This paper established a water consumption forecast model group,and use generalized neural network forecasting model to make a precondition of water eonsumption.The establishment of model group can efficiently improve computational speed and accuracy of forecasts of algorithmic.According to relative hydralics knowledge,among water supply networks,pressure point was a contraints,and then waterworks water supply was objective function of the parameters of variables.Due to complex diversity of networks, establishing accurate modle was rather difficulty.This paper was based on BP neural network and macro model of waterworks water supply,and then laid a foundation of water optimization.paper was based on waterworks export pressure regarding as decision variables, regarding mini-consuming power of waterworks as optimization target, and constituting a water level optimal scheduling model with pressure point . This paper put forward a ameliorating PSO arithmetic, and got a optimal scheduling programme.Finally,this paper designed a optimal scheduling of water supply system, and achieved above modeling and arithmetic.更多还原