基于工况识别的污水处理过程多目标优化控制

Yongming LI; Xudong SHI; Weili XIONG

doi:10.11949/0438-1157.20190453

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基于工况识别的污水处理过程多目标优化控制

过程系统工程 | 更新时间：2020-06-24

- 基于工况识别的污水处理过程多目标优化控制
- Condition recognition based intelligent multi-objective optimal control for wastewater treatment
- 化工学报 2019年70卷第11期页码：4325-4336
- 作者机构：
  
  1.School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, Jiangsu,China
  2.Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education, Jiangnan University, Wuxi 214122, Jiangsu,China
  江南大学物联网工程学院，江苏无锡 214122
  江南大学轻工过程先进控制教育部重点实验室，江苏无锡 214122
- 作者简介：
- 基金信息：
  
  国家自然科学基金项目(61773182);国家重点研发计划项目(2018YFC1603705-03);江苏高校“青蓝工程”项目
- DOI：10.11949/0438-1157.20190453
  中图分类号： TP 273
- 收稿：2019-05-05，
  
  修回：2019-08-05，
  
  纸质出版：2019-11-05
- 稿件说明：
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李永明, 史旭东, 熊伟丽. 基于工况识别的污水处理过程多目标优化控制[J]. 化工学报, 2019, 70(11): 4325-4336

LI Yongming, SHI Xudong, XIONG Weili. Condition recognition based intelligent multi-objective optimal control for wastewater treatment[J]. CIESC Journal, 2019, 70(11): 4325-4336
李永明, 史旭东, 熊伟丽. 基于工况识别的污水处理过程多目标优化控制[J]. 化工学报, 2019, 70(11): 4325-4336 DOI： 10.11949/0438-1157.20190453.

LI Yongming, SHI Xudong, XIONG Weili. Condition recognition based intelligent multi-objective optimal control for wastewater treatment[J]. CIESC Journal, 2019, 70(11): 4325-4336 DOI： 10.11949/0438-1157.20190453.

摘要

针对污水处理过程中能耗大和罚款高等问题，设计了一种基于工况识别的污水处理智能优化控制系统。为保证工况识别的准确性和实时性，利用自适应遗传算法从多种入水参数中选取参考变量，然后基于建立的历史知识库，对入水实时工况进行识别。针对能耗和罚款的多目标优化问题，基于历史知识的引导，通过智能决策的方法从

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7.62000036

2.96333337

解集中选出最优偏好解，并对知识库进行更新。利用国际基准仿真平台BSM1进行验证，结果表明所提方法有效利用了历史工况的最优解信息，提高了算法的收敛性，降低了计算成本，同时可将能耗和罚款控制在较低的范围。

Abstract

Aiming at the problems in wastewater treatment process

such as high energy consumption and penalty

a condition recognition based intelligent optimal control system for wastewater treatment is proposed. In order to ensure the accuracy and real-time performance of condition identification

the adaptive genetic algorithm is used to select reference variables from a variety of influent parameters

then based on the established historical knowledge base

identifies the real-time influent condition. Multi-objective optimization for energy consumption and penalty is guided by historical knowledge

and through the method of intelligent decision-making

the optimal preference solution is selected from

pareto

solution set

then update the knowledge base. The international benchmark simulation platform BSM1 is used to verify the results. The results show that the proposed method effectively utilizes the optimal solution information of historical conditions

improves the convergence of the algorithm

reduces the computational cost

and can control the energy consumption and fines at a lower level.

关键词

Keywords

references

Zhao J , Gui L , Wang Q , et al . Aged refuse enhances anaerobic digestion of waste activated sludge .[J]. Water Research , 2017 , 123 : 724 - 733 .

Santín I , Pedret C , Vilanova R , et al . Advanced decision control system for effluent violations removal in wastewater treatment plants [J]. Control Engineering Practice , 2016 , 49 : 60 - 75 .

Wang L , Qiang Z , Li Y , et al . An insight into the removal of fluoroquinolones in activated sludge process: sorption and biodegradation characteristics [J]. Journal of Environmental Sciences , 2017 , 56 ( 6 ): 263 - 271 .

O’Brien M , Mack J , Lennox B , et al . Model predictive control of an activated sludge process: a case study [J]. Control Engineering Practice , 2015 , 19 ( 1 ): 54 - 61 .

中华人民共和国生态环境部 . 2017 中国生态环境状况公报 [EB/OL]. ( 2018-05-31 )[ 2019-04-29 ]. http://www.mee.gov.cn/hj zl./zghjzkgb/lnzghjzkgb/201805/P020180531534645032372.pdf http://www.mee.gov.cn/hj zl./zghjzkgb/lnzghjzkgb/201805/P020180531534645032372.pdf

Ministry of Ecological Environment of the People's Republic of China . Bulletin on the State of Ecological Environment of China , 2017 [EB/OL]. ( 2018-05-31 )[ 2019-04-29 ]. http://www.mee.gov.cn/hjzl./zghjzkgb/lnzghjzkgb/201805/P020 180531534645032372.pdf http://www.mee.gov.cn/hjzl./zghjzkgb/lnzghjzkgb/201805/P020 180531534645032372.pdf

Hreiz R , Latifi M A , Roche N . Optimal design and operation of activated sludge processes: state-of-the-art [J]. Chemical Engineering Journal , 2015 , 281 : 900 - 920 .

魏伟 , 王小艺 , 王藩 , 等 . 基于线性自抗扰的城市污水脱氮控制仿真 [J]. 化工学报 , 2016 , 67 ( 3 ): 1032 - 1039 .

Wei W , Wang X Y , Wang P , et al . Nitrogen removal in wastewater treatment processes based on linear active disturbance rejection control and its dynamic simulation [J]. CIESC Journal , 2016 , 67 ( 3 ): 1032 - 1039 .

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