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  • 标题:Exploration on Big Data Architecture and its Correlation Analysis for Safety Monitoring in Operation of Basin’s Hydro-junctions
  • 本地全文:下载
  • 作者:Shuangping Li ; Zuqiang Liu ; Min Zheng
  • 期刊名称:IOP Conference Series: Earth and Environmental Science
  • 印刷版ISSN:1755-1307
  • 电子版ISSN:1755-1315
  • 出版年度:2019
  • 卷号:304
  • 期号:2
  • 页码:1-9
  • DOI:10.1088/1755-1315/304/2/022026
  • 出版社:IOP Publishing
  • 摘要:In order to promote the application of big data analysis technology in the safety management in operation of basin's hydro-junctions, the concept of big data and the "5V" characteristics are briefly described in this paper, which explains all the basic characteristics of monitoring data with big data. At the first time, it is proposed that the big data for safety monitoring in operation of basin's hydro-junctions is composed of four dimensions: monitoring data of survey, design and construction, real-time monitoring data during operation and maintenance period, management data in operation and maintenance of dams and social resource data. The general relationship between the various factors of monitoring data, and the classification, process and mining method of correlation analysis for monitoring big data are analyzed. The method of analyzing the safety monitoring data in operation of basin's hydro-junctions has been broadened, which meets the needs of the information and intelligence in management and operation of basin's hydro-junctions.
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