基于大数据平台的水电机组状态数据处理架构研究  

Condition Data Processing Framework of Hydropower Units based on Big Data Platform

作　　者：陈洪 乐毅 吴晓翠 朱波 胡晓 刘东 CHEN Hong;LE Yi;WU Xiaocui;ZHU Bo;HU Xiao;LIU Dong(Hubei Xuanen Dongping Hydropower Co.,Ltd.,Enshi 445500,China;School of Power and Mechanical Engineering,Wuhan University,Wuhan430072,China)

机构地区：[1]湖北宣恩洞坪水电有限责任公司,湖北恩施445500 [2]武汉大学动力与机械学院,湖北武汉430072

出　　处：《水电与新能源》2019年第11期42-47,55,共7页Hydropower and New Energy

基　　金：国家自然科学基金(51379160)

摘　　要：以实现水电机组状态检修为出发点,探讨现阶段水电机组状态数据处理瓶颈和应用面临的问题,分析机组状态数据内容、状态数据集成思想与方法,将大数据技术引入水电机组状态数据处理中,研究基于大数据平台的水电机组状态数据处理架构,并从数据的采集、编码、存储、访问、预处理、分析挖掘和数据展示可视化等方面探讨了具体的关键技术。To realize the condition maintenance of hydropower units, difficulties in the condition data processing and its application are discussed. Considering the content of the condition data and the concept and methods of the condition data integration, a condition data processing framework based on the big data technology is proposed. Several key techniques are then discussed in detail, including the data acquisition, data coding, data storage, data access, data preprocessing, data analysis and data visualization.

关 键 词：状态数据 大数据平台 状态检修 数据处理 

分 类 号：TV734.2[水利工程—水利水电工程]