基于机理模型与数据模型融合的污水处理智能控制系统构建思路

殷逢俊; 徐泽宇; 刘鸿

doi:10.13205/j.hjgc.202206018

基于机理模型与数据模型融合的污水处理智能控制系统构建思路

doi: 10.13205/j.hjgc.202206018

中国科学院重庆绿色智能技术研究院, 重庆 400714

基金项目:

国家自然科学基金(52131003,52170059)

中国科学院科研仪器设备研制项目(YJKYYQ20200044)

详细信息

作者简介:
殷逢俊(1987-),男,博士,副研究员,主要研究方向为水污染控制。yinfengjun@cigit.ac.cn

通讯作者:
刘鸿(1970-),男,博士,研究员,主要研究方向为水污染控制。liuhong@cigit.ac.cn

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- 文章访问数: 241
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- 被引次数: 0
出版历程
- 收稿日期: 2021-12-01
- 网络出版日期: 2022-09-01
- 刊出日期: 2022-09-01

THINKING ON CONSTRUCTING AN INTELLIGENT CONTROL SCHEME OF WASTEWATER TREATMENT BASED ON THE COMBINATION OF MECHANISM AND DATA-DRIVEN MODELS

Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China

摘要

摘要: 污水处理智能控制是水污染控制领域的前沿方向。人工智能技术的快速发展,为污水处理智能化控制系统研发注入了新的活力。当前亟须探索污水处理机理模型与数据驱动方法交叉融通的科学路径,重构污水处理智能控制系统的逻辑模式,以提升污水处理智能控制技术研发水平。为此,从污水处理过程的确定性-随机性特征出发,提出了融合机理模型与数据模型的双回路控制系统设想,未来通过充分的实践探索,有望为污水处理智能控制提供新的技术路线。首先,分析了污水处理智能控制系统的基本要素,分别探讨了基于确定性的机理模型及基于随机性的数据驱动模型对污水处理系统的控制作用,进而提出了机理模型与数据模型融合驱动的双回路控制系统基本逻辑架构及控制原理,并分析了该系统在污水处理复杂过程中应用的拓扑结构。最后,围绕未来污水处理智能控制技术发展作了展望。
- 污水处理 /
- 确定性-随机性 /
- 机理模型 /
- 数据驱动模型 /
- 智能控制
Abstract: Intelligent control of wastewater treatment is the leading edge in the water pollution control field.The rapid development of artificial intelligence technology injects fresh vitality into the development of wastewater treatment intelligent control.It is strongly desirable to explore a scientific route of combining mechanism and data-driven models to reconstruct the logical mode of wastewater treatment intelligent control system and hence promote its technical development level.This paper proposed a tentative plan of dual-loop logical structure based on the certainty-randomness features of wastewater treatment processes,which is likely to provide a new technical route of wastewater treatment intelligent control through future practice and exploration.First,this paper reviewed the essential factors of wastewater treatment intelligent control and dissected the control role of the mechanism model in the certainty scale,as well as the role of the data-driven model in the randomness scale.Then,a dual-loop logical structure and its control principle combining mechanism and data-driven models were proposed,and the topology in the application of complex wastewater treatment processes was clarified.Finally,a brief perspective centering on the future development of wastewater treatment intelligent control technologies was presented.
- wastewater treatment /
- certainty-randomness /
- mechanism model /
- data-driven model /
- intelligent control

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