首页> 外文会议>International Conference on Frontiers of Manufacturing Science and Measuring Technology >The Design and Implementation of Fuzzy Neural Network Control Algorithms in Uurban Sewage Treatment Control SystemNShi ZhaohuiComputer Department of Dezhou Vocational and Technology College, Dezhou, Shandong, China
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The Design and Implementation of Fuzzy Neural Network Control Algorithms in Uurban Sewage Treatment Control SystemNShi ZhaohuiComputer Department of Dezhou Vocational and Technology College, Dezhou, Shandong, China

机译:Uurban污水处理控制系统的模糊神经网络控制算法的设计与实现,浙江省德州德州职业技术学院计算机系

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In this paper,the artificial intelligence control technology is used in sewage treatment plants, we use fuzzy control method in the sewage treatment process, we use the dynamic fuzzy control in the water quality of the sewage treatment process parameters , on this basis, we completed the automatic control system software design, the upper control software we use the WinCC configuration ,the next bit control softwarewe use the STEP7 5.1. We use the object-oriented programming idea to improve the efficiency of automatic control software. We developed the application communication protocol between the upper and lower computer layer, the next crew and the host computer can run independently when they are not connected, when the communication connects again, you can pass the parameters of the system from each other to avoid the loss of valid data. The central control system monitors the plant process and equipment operation all the time, the remote control substitutes for the original analog console, it is important simulation parameters to trend display, allowing the operator to better control water quality.
机译:在本文中,人工智能控制技术用于污水处理厂,我们在污水处理过程中使用模糊控制方法,我们在污水处理过程参数的水质中使用动态模糊控制,在此基础上,我们完成了自动控制系统软件设计,上部控制软件我们使用WinCC配置,下一位控制软件我们使用Step7 5.1。我们使用面向对象的编程想法来提高自动控制软件的效率。我们在上下计算机层之间开发了应用通信协议,下一个工作人员和主机可以独立运行,当通信再次连接时,您可以通过彼此传递系统的参数来避免丢失有效数据。中央控制系统一直监控植物工艺和设备操作,遥控器替代原装模拟控制台,这是重要的仿真参数到趋势显示,允许操作员更好地控制水质。

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