| 城镇污水处理自动控制策略研究进展 |
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| 引用本文： | 郑怀礼,李俊,孙强,赵瑞,李关侠,黄文璇,丁魏,肖伟龙. 城镇污水处理自动控制策略研究进展[J]. 重庆建筑大学学报, 2020, 42(1): 126-134 |
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| 作者姓名： | 郑怀礼 李俊 孙强 赵瑞 李关侠 黄文璇 丁魏 肖伟龙 |
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| 作者单位： | 重庆大学 环境与生态学院;重庆市水处理混凝剂工程技术研究中心, 重庆 400045,重庆大学 环境与生态学院;重庆市水处理混凝剂工程技术研究中心, 重庆 400045,重庆大学 环境与生态学院;重庆市水处理混凝剂工程技术研究中心, 重庆 400045,重庆大学 环境与生态学院;重庆市水处理混凝剂工程技术研究中心, 重庆 400045,深圳市长隆科技有限公司, 广东 深圳 518117,重庆大学 环境与生态学院;重庆市水处理混凝剂工程技术研究中心, 重庆 400045,重庆大学 环境与生态学院;重庆市水处理混凝剂工程技术研究中心, 重庆 400045,重庆大学 环境与生态学院;重庆市水处理混凝剂工程技术研究中心, 重庆 400045 |
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| 基金项目： | 重庆市重点产业共性关键技术创新专项重点研发项目（cstc2017zdcy-zdyf0203）；重庆市研究生科研创新项目（CYB18041） |
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| 摘 要： | 全过程自动化控制是未来城镇污水处理厂的发展方向，但由于污水处理过程具有非线性、多变量、时变性等特点，自控系统中关键运行参数的测量以及控制决策的制定都存在困难，目前实际应用的系统大多停留在实现单一参数或单一反应器控制的层面上。自动控制策略是整个自动控制系统的头脑，是充分发挥系统软硬件效能、保证系统鲁棒性的关键。总结了城镇污水处理厂自动控制方案依据的数学模型，描述了活性污泥模型（ASM）和仿真基准模型（BSM）的基本特征，综述了自动控制策略在城镇污水处理曝气、化学除磷以及多目标优化控制方面的研究进展，分析了目前研究中存在的挑战和机遇，发现理论研究与工程实践相结合是加快城镇污水处理厂自动化进程的必要途径。
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| 关 键 词： | 自动控制 活性污泥数学模型 曝气 化学除磷 多目标优化 |
| 收稿时间： | 2019-07-02 |
Automatic control strategies of urban wastewater treatment: A review |
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| Zheng Huaili,Li Jun,Sun Qiang,Zhao Rui,Li Guanxi,Huang Wenxuan,Ding Wei and Xiao Weilong. Automatic control strategies of urban wastewater treatment: A review[J]. Journal of Chongqing Jianzhu University, 2020, 42(1): 126-134 |
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| Authors: | Zheng Huaili Li Jun Sun Qiang Zhao Rui Li Guanxi Huang Wenxuan Ding Wei Xiao Weilong |
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| Affiliation: | College of Environment and Ecology;Chongqing Engineering Research Center of Water Treatment Coagulant, Chongqing University, Chongqing 400045, P. R. China,College of Environment and Ecology;Chongqing Engineering Research Center of Water Treatment Coagulant, Chongqing University, Chongqing 400045, P. R. China,College of Environment and Ecology;Chongqing Engineering Research Center of Water Treatment Coagulant, Chongqing University, Chongqing 400045, P. R. China,College of Environment and Ecology;Chongqing Engineering Research Center of Water Treatment Coagulant, Chongqing University, Chongqing 400045, P. R. China,Shenzhen Changlong Technology Co., Ltd, Shenzhen 518117, Guangdong, P. R. China,College of Environment and Ecology;Chongqing Engineering Research Center of Water Treatment Coagulant, Chongqing University, Chongqing 400045, P. R. China,College of Environment and Ecology;Chongqing Engineering Research Center of Water Treatment Coagulant, Chongqing University, Chongqing 400045, P. R. China and College of Environment and Ecology;Chongqing Engineering Research Center of Water Treatment Coagulant, Chongqing University, Chongqing 400045, P. R. China |
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| Abstract: | Urban wastewater treatment plants are oriented to the entire process control, while automatic control systems encounter many problems in parameter measurement and decision making because the wastewater treatment process is nonlinear, multivariable and time-varying. Thus most of control systems in practice are merely aimed at single parameter control or single rector control by now. Automatic control strategies are the brain of control systems, which could fulfill the potential of the hardware and software in the system and ensure the robustness of the system. Thus the mathematical models applied in the automatic control strategies of the urban wastewater treatment are introduced, and the characteristics of Activated Sludge Models (ASMs) and Benchmark Simulation Models (BSMs) are summarized. The automatic control strategies in terms of aeration, chemical phosphorus removal and multi-objective optimization control are described respectively, and the challenges and opportunities in the recent research are presented. Combining the theoretical research and the engineering practice is necessary for the automation process of the urban wastewater treatment plants. |
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| Keywords: | automatic control activated sludge models aeration chemical phosphorus removal multi-objective optimization |
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