考虑微生物风险的城市污水处理多目标优化控制  

Multi-objective optimal control of urban wastewater treatment considering microbiological risk

作　　者：闵佳峰 彭鑫 李智 钟伟民 潘红光[2] MIN Jia-feng;PENG Xin;LI Zhi;ZHONG Wei-min;PAN Hong-guang(Key Laboratory of Advanced Control and Optimization for Chemical Processes,Ministry of Education,East China University of Science and Technology,Shanghai 200237,China;College of Electrical and Control Engineering,Xi’an University of Science and Technology,Xi’an 710054,China)

机构地区：[1]华东理工大学化工过程先进控制与优化技术教育部重点实验室,上海200237 [2]西安科技大学电气与控制工程学院,陕西西安710054

出　　处：《高校化学工程学报》2020年第6期1482-1491,共10页Journal of Chemical Engineering of Chinese Universities

基　　金：国家自然科学基金(61890930-3,61925305,61803157);高等学校学科创新“111”引智计划(B17017);中央高校基本科研业务费(222201917006)。

摘　　要：针对城市污水处理过程中因污泥沉降不充分而影响出水水质的问题,提出考虑微生物风险的城市污水处理多目标优化控制方法。选择对污泥沉降影响大的变量作为被控变量,利用支持向量回归机建立溶解氧、污泥龄与污水处理能耗成本、出水水质和微生物风险的稳态模型;采用多目标差分进化算法同时对能耗成本、出水水质和微生物风险在线优化,基于风险优化对溶解氧和污泥龄的优化设定值筛选决策;利用抗积分饱和PI控制对优化设定值实时跟踪。在污水处理基准仿真平台benchmark simulation model no.1的实验结果表明,相比仅优化能耗成本和出水水质,该方法使得高微生物风险比例下降了25.35%。A multi-objective optimal control approach considering microbiological risk was proposed due to the deterioration of effluent quality by insufficient sludge settlement in urban wastewater treatment process.The steady-state models of energy consumption(EC),effluent quality(EQ)and microbiological risk(MR)were developed through support vector regression machine by selecting variables affecting sludge settlement as controlled variables.Multi-objective differential evolutionary algorithm was utilized to optimize EC,EQ and MR,and the optimal setpoints of dissolved oxygen(ρO,3)and sludge retention time(SRT)were determined based on microbiological risk optimization and traced using anti-windup PI controllers.The experimental results on benchmark simulation model no.1(BSM1)for wastewater treatment demonstrated that the proposed method reduces high microbiological risk ratio by 25.35%compared with the EC and EQ optimization merely.

关 键 词：污水处理 微生物风险 优化控制 支持向量回归机 多目标差分进化 

分 类 号：TP237.1[自动化与计算机技术—检测技术与自动化装置]