摘要
目前,污水处理属于环境保护过程中的热点内容,备受学者与研究人员的重视。在污水处理过程中存在多种工艺流程,本文对基于神经网络的污水处理控制系统进行了研究。创建污水处理仿真平台,因为污水处理的过程比较漫长,运行成本较高,大部分的实验室并没有条件实现污水处理,实现污水处理仿真平台的创建能够代替实际污水处理的流程,研究人员建模和控制能够通过平台实现。另外,通过神经网络创建控制对象模型。最后,通过仿真实验,结果表示在短时间中能够使污水处理到期望值,整个控制过程的稳定性能与动态性能良好。
As a hot topic in the process of environmental protection at present, sewage treatment has attracted high attention of scholars and researchers. There are many processes for sewage treatment, and in this paper, the neural network-based sewage treatment control system was studied. It is impossible for most of the laboratories to realize sewage treatment due to the relatively long process and high operation cost of sewage treatment. Therefore, a sewage treatment simulation platform was established to replace the realistic sewage treatment process. The modeling and control of researchers can also be achieved through the platform. In addition, control object models were created through neural network. Finally, according to the results of simulation experiments, the sewage can be treated to the desired degree in a short time, and the entire control process was featured by good stability and dynamic performance.
作者
邓若飞
宋柳
DENG Ruo-fei;SONG Liu(Beijing Institute of Aerospace Testing Technology, Beijing 100074)
出处
《新型工业化》
2019年第8期95-98,共4页
The Journal of New Industrialization
关键词
神经网络
污水处理系统
系统设计
Neural network
Sewage treatment system
System design
