人工智能技术在水电状态监测中的需求及应用
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摘要
随着智慧水电厂逐渐成为新形势下的发展目标,在水电状态监测领域,涌现出了大量对人工智能技术应用和推广的迫切要求,诸如:状态监测样本的自动学习与评估、大数据降维辅助故障认知、开放式状态监测、复杂监测系统互联及其安全性等。本文介绍和分析了"概率评估""学习算法"等共性AI技术在水电状态监测中的前期应用,并进一步探讨其应用前景。
With the wisdom hydropower station gradually become the development goals under the new situation,in the field of hydropower status monitoring,emerged a large number of artificial intelligence technology application and popularization of urgent requirements,such as : Automatic learning and evaluation of status monitoring samples,Dimension reduction fault recognition in the big data,Open state monitoring,Complex monitoring system interconnection and its safety,etc.This paper introduces and analyzes the early application of"probability evaluation","learning algorithm" and other common AI technologies in hydropower status monitoring,and further discusses their application prospects.
With the wisdom hydropower station gradually become the development goals under the new situation,in the field of hydropower status monitoring,emerged a large number of artificial intelligence technology application and popularization of urgent requirements,such as : Automatic learning and evaluation of status monitoring samples,Dimension reduction fault recognition in the big data,Open state monitoring,Complex monitoring system interconnection and its safety,etc.This paper introduces and analyzes the early application of"probability evaluation","learning algorithm" and other common AI technologies in hydropower status monitoring,and further discusses their application prospects.
引文
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[4]高静.信息物理融合系统中基于多模态数据的事件监测问题研究.哈尔滨工业大学博士论文,2015.6.1.GAO Jing.Research on Event Monitoring based on Multi-modal Data in Information Physical Fusion System. Doctoral thesis of Harbin Institute of Technology 2015.6.1
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