研究梳理了国内外水务行业应用人工智能(AI)的研究进展,重点关注了中国和其他国家水务行业人工智能应用的范围,并探究了未来人工智能在本领域的发展潜力.使用文献计量学方法,以中国知网和Web of Science数据库中2003年-2023年的研究作为数据来源,基于CiteSpace软件的数据分析结果,对水务行业人工智能的研究热点、发展历程和研究趋势进行可视化分析.通过国内外发展历程的对比分析,表明我国水务行业人工智能起步与国外接近,但研究侧重点有所不同,国内研究偏向于智慧水务的整体解决方案,主要目的是降本增效,对于以提高污染物去除率和提高水处理效率等核心技术的渗透略浅于国外研究;聚类分析发现国内对于人工智能的研究主要分为智慧水务与数字孪生、优化调度与资源回收、处理技术提升与机理研究,相较于国外,针对具体水处理技术的算法优化与改进的研究略少.传统水务行业必将成为集化学、生物、计算机等多学科的交叉领域,利用人工智能合成环保材料、设计绿色工艺将成为未来国内外的主流研究方向.
Bibliometric Analysis of the Artificial Intelligence Application in Water Industry
This study sorts out the research progress in applying artificial intelligence(AI)in water industry at home and abroad,focuses on the scope of AI application in the water industry in China and other countries,and explores the future development potential of AI in this field.Using bibliometric methods,studies from 2003 to 2023 in the China Knowledge and Web of Science databases were used as data sources,and the results of data analysis based on CiteSpace software were used to visualize and analyze the research hotspots,development history and research trends of AI in water industry.Through the comparative analysis of the development history at home and abroad,it showed that China's artificial intelligence in the water industry started with foreign countries but the focus of the research was different,the domestic research was biased towards the overall solution of intelligent water services,the main purpose was to reduce costs and increase efficiency,and the penetration of the core technology of improving the pollutant removal rate and improving the efficiency of water treatment was slightly shallower than that of the foreign research;clustering analysis reveals that the domestic research on Al is mainly classified into Intelligent water and digital twin,optimal scheduling and resource recovery,treatment technology enhancement and mechanism research,compared with foreign countries,the algorithm optimization and improvement of specific water treatment technology is slightly less research.The traditional water industry will become a multidisciplinary cross-field of chemistry,biology,computers and other disciplines,and the use of artificial intelligence to synthesize environmentally friendly materials and design green processes will become the mainstream research direction at home and abroad in future.
artificial intelligencewater sectorbibliometricsresearch progresssmart watergreen process
万方数据
维普
