粒子群优化
污水处理
污水
计算机科学
多群优化
氧化沟
工程类
数学优化
工艺工程
算法
环境工程
数学
作者
Bingqin Su,Yu-Ting Lin,Jian Wang,Quan Xiaohui,Zhankun Chang,Chuangxue Rui
标识
DOI:10.1016/j.egyr.2022.06.053
摘要
The sewage treatment system based on particle swarm optimization algorithm to improve energy efficiency is analyzed. Firstly, this paper takes particle swarm optimization algorithm and activated sludge sewage treatment method as the research object, and with the help of experimental analysis method, the analysis of particle swarm optimization algorithm to improve the energy efficiency of sewage treatment system has achieved good results. From the experimental results of sewage treatment system, it plays an important role in realizing the effective treatment of sewage and improving the economic and social benefits of sewage treatment. Then, particle swarm optimization algorithm can play an effective role in sewage treatment system. Therefore, actively promoting the application of this algorithm can improve the energy efficiency of sewage treatment system. Finally, the optimal control solution of sewage treatment based on improved particle swarm optimization algorithm is successfully applied to a municipal sewage treatment plant, which effectively saves electric energy. The experimental results show that the solution designed in this paper can also be applied to other sewage plants using activated sludge oxidation ditch process, and has certain popularization value.
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