人工智能在大坝工程中的研究进展

Wenxuan Cao , Xinbin Wu , Junjie Li , Fei Kang
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引用次数: 0

摘要

人工智能是推动大坝各方面信息化、数字化、智能化发展的重要动力,给大坝工程带来前所未有的变革。但到目前为止,对其在大坝中的应用还没有深入的研究。为了阐明人工智能在大坝领域的研究和应用现状,本文检索了近20年来世界各大数据库中的论文,并通过分析论文摘要或全文进行总结。首先,确定了大坝中使用的人工智能技术的类型,以及每种技术的任务导向。其次,从大坝生命周期的角度,综述了人工智能在大坝勘探、建设和运维中的应用。最后,从应用层面和技术层面探讨了人工智能在大坝应用中面临的挑战,并对未来需要进一步解决的重点研究方向进行了展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A review of artificial intelligence in dam engineering
Artificial Intelligence (AI) is an import driving force to promote the development of information, digitalization, and intelligence of dam in all aspects, and it brings about unprecedented changes to dam engineering. But up until this point, its application in dam has not been thoroughly reviewed. In order to clarify the current status of AI research and application in dam, this paper retrieves papers from the world's major databases over the last 20 years and summarizes the results by analyzing the abstracts or full of these papers. First, the types of AI techniques used at dam are identified, as well as the task orientation of each technique. Second, from the perspective of the dam lifecycle, the application of AI in exploration, construction and operation and maintenance is reviewed. Finally, the challenges of AI in dam application are discussed from the application level and the technical level, and the key research directions that need to be further solved in the future are prospected.
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