化工进展 ›› 2022, Vol. 41 ›› Issue (S1): 497-506.DOI: 10.16085/j.issn.1000-6613.2022-0028

• 资源与环境化工 • 上一篇    下一篇

人工智能在电化学水处理过程中的应用

胡锦文1(), 孟广源1,2, 张之杰1, 张宁1, 张芯婉1, 陈鹏1,2, 李童3, 刘勇弟1,2, 张乐华1,2()   

  1. 1.华东理工大学高浓度难降解有机废水处理技术国家工程实验室,上海 200237
    2.华东理工大学国家环境保护 化工过程环境风险评价与控制重点实验室,上海 200237
    3.亳州大学继续教育中心,安徽 亳州 236800
  • 收稿日期:2022-01-05 修回日期:2022-03-14 出版日期:2022-10-20 发布日期:2022-11-10
  • 通讯作者: 张乐华
  • 作者简介:胡锦文(1998—),男,硕士研究生,研究方向为环境电化学。E-mail:825517503@qq.com
  • 基金资助:
    国家重点研发计划(2019YFC0408202);国家自然科学基金(21876050)

Application of artificial intelligence model in electrochemical water treatment process

HU Jinwen1(), MENG Guangyuan1,2, ZHANG Zhijie1, ZHANG Ning1, ZHANG Xinwan1, CHEN Peng1,2, LI Tong3, LIU Yongdi1,2, ZHANG Lehua1,2()   

  1. 1.National Engineering Laboratory for Industrial Wastewater Treatment, East China University of Science and Technology, Shanghai 200237, China
    2.State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process, East China University of Science and Technology, Shanghai 200237, China
    3.Continuing Education Center, Bozhou University, Bozhou 236800, Anhui, China
  • Received:2022-01-05 Revised:2022-03-14 Online:2022-10-20 Published:2022-11-10
  • Contact: ZHANG Lehua

摘要:

近年来,通过人工智能建立的模型可以对工业过程进行精确调控,人工智能应用于电化学水处理技术过程得到了广泛关注。在电化学水处理过程中,人工智能模型可以降低电化学过程的能耗,获取最优能效比。本文对人工智能在电化学水处理的应用进行了综述、分类和归纳,并介绍了其应用方法,概述了人工智能应用于电化学水处理过程的特点、优势以及局限性,比较了用于电化学水处理的人工智能建模与响应面模型、回归模型和经验动力学模型的优劣。进而提出了人工智能在工程应用上的改进思路,为相关研究提供了参考。

关键词: 电化学, 动态建模, 人工智能, 水处理, 环境工程

Abstract:

In recent years, the model established by artificial intelligence can accurately regulate and control the industrial process, and the application of artificial intelligence in electrochemical water treatment technology has received extensive attention. In the process of electrochemical water treatment, artificial intelligence model can reduce the energy consumption of electrochemical process and obtain the optimal energy efficiency ratio. In this paper, the application of artificial intelligence in electrochemical water treatment is summarized, classified and summarized, and its application methods are introduced. The characteristics, advantages and limitations of artificial intelligence in electrochemical water treatment process are summarized, and the advantages and disadvantages of artificial intelligence modeling, response surface model, regression model and empirical dynamic model used in electrochemical water treatment are compared. Furthermore, this paper puts forward the improvement ideas of artificial intelligence in engineering application, which provides a reference for related research.

Key words: electrochemistry, dynamic modeling, artificial intelligence, waste water treatment, environmental engineering

中图分类号: 

京ICP备12046843号-2;京公网安备 11010102001994号
版权所有 © 《化工进展》编辑部
地址:北京市东城区青年湖南街13号 邮编:100011
电子信箱:hgjz@cip.com.cn
本系统由北京玛格泰克科技发展有限公司设计开发 技术支持:support@magtech.com.cn