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二次供水系统用水模型与管网状态预测 被引量:1

An Exploratory Model of Secondary Water-Supply System and Loading Forecasting of Water Supply Network
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摘要 介绍了可利用市政管网压强能量的二次供水系统的用水模型.并针对城市供水系统的复杂性、非线性、时变性和多因素影响的特点,引入人工神经网络,用于管网状态负荷预测. Because of the irrational way of water supply and lack of excellent control method, large energy is wasted during secondary water supply. This paper introduces a water supply model which can make full use of the energy of water supply network and aiming at the multi-factor influences on urban water supply system such as the complexity, non-linearity, time-variation etc. The artificial neuro-network (ANN) are conducted to estimate the loading of urban water supply.
作者 蔡逢煌
出处 《厦门大学学报(自然科学版)》 CAS CSCD 北大核心 2001年第z1期94-97,共6页 Journal of Xiamen University:Natural Science
基金 福建省自然科学基金资助项目(D9910010)
关键词 用水模型.节能.负荷预测.神经网络 water-supply model, saving energy, loading forecasting, ANN
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  • 1给排水设计手册.北京:中国建筑工业出版社,1986.

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