摘要
总结了石化废水处理过程中生化处理阶段在工艺、设备和控制方法上的国内外研究现状和发展趋势。针对废水处理过程中非线性、时变性和滞后性等特点,分析了影响曝气池溶解氧浓度变化的多种因素。论述了PID控制、模糊控制、模型预测控制和神经网络控制等多种控制算法及其组合应用在溶解氧浓度优化控制上的效果。
Global current research status and latest development trends in the biochemical treatment stage of petrochemical wastewater treatment are summarized,focusing on process,equipment,and control method.In the light of the nonlinear,time⁃varying,and lagging characteristics of wastewater treatment processes,various factors affecting the change in dissolved oxygen concentration in aeration tanks are analyzed.The effects of various control algorithms,such as Proportional⁃Integral⁃Differential(PID)control,fuzzy control,model predictive control,and neural network control,as well as their combined application in the optimal control of dissolved oxygen concentration are expounded.
作者
丁万杰
刘钊
王孝红
DING Wan-jie;LIU Zhao;WANG Xiao-hong(School of Electrical Engineering,University of Jinan,Jinan 250022,China)
出处
《现代化工》
CAS
CSCD
北大核心
2024年第S01期16-20,共5页
Modern Chemical Industry
基金
国家自然科学基金项目(62073153)
山东省科技型中小企业创新能力提升工程项目“石油化工园区废水绿色、高效综合治理关键技术集成与应用示范”(2022TSGC1081)。
关键词
石化废水
溶解氧浓度
优化控制
petrochemical wastewater
dissolved oxygen concentration
optimization control
