摘要
以宿迁市中运河刘老涧抽水站为例,建立水利泵站运行节能运行的数学理论目标函数,对水量泵站的运行方案进行求解,并借助BP神经网络方法对水利泵站的节能系统运行方案进行优化。结果表明,以实际的水利泵站功率为参考,BP神经网络方法能达到很好的预测效果。
Taking Liulaojian pumping station of zhongyunhe river in Suqian city as an example,the mathematical theoretical objective function of energy-saving operation of water conservancy pumping station is established,the operation scheme of water pumping station is solved,and the operation scheme of energy-saving system of water conservancy pumping station is optimized with the help of BP neural network method.The results show that compared with the actual power of water conservancy pump station,BP neural network method can achieve good prediction effect.
作者
王善慈
Wang Shanci(Jiangsu Luoyun Water Conservancy Project Management Office,Suqian 223800,China)
出处
《科学技术创新》
2022年第24期133-136,共4页
Scientific and Technological Innovation
关键词
水利泵站
BP神经网络
节能系统
优化算法
泵站设计
Water conservancy pump station
BP neural network
Energy saving system
Optimization algorithm
Pump station design
