Abstract

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.

Details

Title
Exploration on Big Data Architecture and its Correlation Analysis for Safety Monitoring in Operation of Basin’s Hydro-junctions
Author
Li, Shuangping 1 ; Liu, Zuqiang 1 ; Zheng, Min 1 ; Wang, Huawei 1 

 Changjiang Spatial Information Technology Engineering Co., Ltd. Wuhan, Hubei, 430010, China; Hubei Province Engineering Technology Research Center for Water Resources Information Perception and Big Data, Wuhan, Hubei, 430010, China 
Publication year
2019
Publication date
Sep 2019
Publisher
IOP Publishing
ISSN
17551307
e-ISSN
17551315
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2557865755
Copyright
© 2019. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.