摘要
机器学习是人工智能领域的主流算法,近年来水务行业的数据量呈指数级增加,以机器学习为主流算法的人工智能技术在水务行业中的应用逐步得到拓展.综述了机器学习在我国水务行业中的应用现状与发展前景.目前机器学习凭借其强大的数据挖掘能力在水资源优化调度、水处理厂运维、管网运维及城市雨洪管理方面具有较为广泛的应用,在水务信息化和数据资源深度挖掘与整合利用方面做出了突出贡献.未来机器学习能够助力双碳背景下污水厂提标改造,持续推动水务信息数字化向智能化转型.
Abstract
Machine learning is the mainstream algorithm in the field of artificial intelligence.In recent years,the a-mount of data in the water industry has increased exponentially,and the application of artificial intelligence technology based on machine learning as the mainstream algorithm has been gradually expanded in the water industry.This paper summarizes the application status and development prospects of machine learning in Chinese water industry.At present,machine learning,with its powerful data mining ability,has been widely applied in the optimization and scheduling of wa-ter resources,the operation and maintenance of water treatment plants,pipe network operation and maintenance,and ur-ban stormwater management.It has made outstanding contributions to water informatization and the in-depth mining and integrated utilization of data resources.In the future,machine learning can help achieve the upgrading of sewage treat-ment plants under the context of achieving carbon neutrality,and continuously promote the digitalization-to-intelligence transformation of water information in the water industry.
基金项目
国家自然科学基金青年基金项目(42207092)
河北省研究生创新资助项目(CXZZBS2021016)
河北省科技厅青年基金项目(D2020402028)
中央引导地方科技发展资金项目(226Z4203G)
河北省高等学校科学技术研究项目(BJK2023071)
维普
万方数据