首页|基于CiteSpace的中国污水处理智能控制领域的研究热点与趋势分析

基于CiteSpace的中国污水处理智能控制领域的研究热点与趋势分析

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为了解我国污水处理过程中智能控制领域的发展现状,厘清该研究领域的热点问题与趋势,通过中国知网数据库,检索了 1992-2022年有关污水处理过程中智能控制领域的1688篇研究论文,基于文献计量学,从作者、机构及关键词等方面,应用CiteSpace软件对检索的1688篇文献进行可视化分析,得到相关的知识图谱。结果表明:(1)我国污水处理智能控制研究经历了初步探索阶段、快速发展阶段、波动型发展阶段,波动情况主要受到污水治理政策调控。(2)在污水处理过程的智能化控制研究领域中,北京工业大学的乔俊飞和韩红桂对该领域影响力最大,形成了以北京工业大学为中心的污水处理智能控制科研集聚。(3)污水处理过程中控制技术究热点主要包括基于物联网技术的远程监控和基于遗传算法、粒子群等算法优化神经网络的水质参数软测量以及污水处理过程中的故障诊断,其中,神经网络、模糊控制和遗传算法在污水处理智能控制控制技术中占据主导地位。除此之外,对于污水处理过程中的溶解氧的智能控制是该领域的重要研究课题。
Hot Research Topics and Trends on Intelligent Control for Sewage Treatment in China Based on CiteSpace
To learn the development situation of intelligent control for wastewater treatment in China and find out the hot issues and trends of this research field,1688 research papers that related to the intelligent control for sewage treatment from 1992 to 2022 were retrieved from the database of China National Knowledge Infrastructure(CNKI).Based on bibliometrics,visual analysis on the 1688 papers was conducted with CiteSpace from the aspects of authors,institutions,and keywords,with relevant knowledge maps produced.Results indicated:(1)The research on intelligent control for wastewater treatment in China has underwent the stages of preliminary exploration,rapid development,and fluctuating development,with the fluctuations mainly influenced by sewage management policies.(2)In the field of intelligent control for wastewater treatment processes,Qiao Junfei and Han Honggui from Beijing University of Technology were the most influential in the field and Beijing University of Technology served as a scientific research cluster of intelligent control for wastewater treatment.(3)The hot issues on control technology for wastewater treatment processes mainly included remote monitoring based on Internet of Things(IoT)technology,optimization of soft measurement of water quality parameters with algorithms such as genetic algorithms and particle swarm,as well as fault diagnosis for waste water treatment processes.Neural networks,fuzzy control,and genetic algorithms dominated the intelligent control technologies in sewage treatment.Additionally,intelligent control of dissolved oxygen in the sewage treatment process was an important research topic in this field.

Sewage treatmentintelligent controlCiteSpacebibliometrics

阳鑫、张劲、冯学高、刘志

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湖北大学资源环境学院,武汉 430062

湖北大学生态文明建设研究院,武汉 430062

荆门市生态环境局沙洋分局,湖北荆门 448200

湖北省生态环境监测中心站,武汉 430061

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污水处理 智能控制 CiteSpace 文献计量

湖北省科技厅重点研发项目

2021BCA129

2024

四川环境
四川省环境保护科学研究院 四川省环境科学学会

四川环境

CSTPCD
影响因子:0.444
ISSN:1001-3644
年,卷(期):2024.43(2)
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