Sewage treatment system for improving energy efficiency based on particle swarm optimization algorithm

oleh: Bingqin Su, Yuting Lin, Jian Wang, Xiaohui Quan, Zhankun Chang, Chuangxue Rui

Format: Article
Diterbitkan: Elsevier 2022-11-01

Deskripsi

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.