2012-2022年废水处理人工智能应用的研究进展:2022年废水处理人工智能应用的研究进展:2022年废水处理人工智能应用的研究进展:2022年废水处理人工智能应用的研究进展:2022年废水处理人工智能应用的研究进展:2022年废水
Xiaoman Yu1, Shuai Chen2, Xiaojiao Zhang3
1School of Resources and Environmental Engineering, Shanghai Polytechnic University, Shanghai 201209, China
概括
废水处理中的人工智能 (AI) 正在快速发展,自2018年以来出版物的数量大幅增长. 机器学习和深度学习是关键的研究领域,推动治疗效率和缺陷检测方面的创新.
科学领域:
- 环境科学 环境科学
- 计算机科学 计算机科学
- 工程 工程师 工程师 工程师
背景情况:
- 人工智能 (AI) 在废水处理中的应用在2011年至2022年期间研究成果显著增加.
- 图书计量分析显示,2018年以后出版物急剧增加,这表明该领域的科学和技术进步加速.
研究的目的:
- 总结人工智能在废水处理中的应用成果,并追踪人工智能在废水处理中的科学和技术进展.
- 在这个领域内确定关键的研究趋势,有影响力的机构和协作网络.
主要方法:
- 从科学网络核心收藏 (2011-2022) 中对文献进行图书法分析.
- 关键词聚类分析以确定新兴的研究热点和趋势.
- 分析出版产出,地理贡献,主要机构,期刊和作者.
主要成果:
- 中国在出版物方面处于领先地位,其次是美国,伊朗和印度. 德黑兰大学是最多产的机构,WATER是顶级期刊,Nasr M是最多出版的作者.
- 观察到一个正在发展的协作网络,主要是欧洲国家,中国和美国.
- 人工神经网络,机器学习和深度学习被确定为最近的研究热点,深度学习显示了通过图像识别自动检测缺陷的潜力.
结论:
- 废水处理中的AI领域正在经历快速增长,这是机器学习和深度学习的进步所推动的.
- 未来的研究趋势包括利用神经网络来预测反抗性废水的处理效率,并利用自动化系统的深度学习.
- 建议加强远程探测与发展中国家水质监测的整合.
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