Application of a Multi-source Data Warehouse for Tailings Ponds
Authors: 
Hong Zhang, Quanming Li, Zhentao LiAuthors Info & Claims
Article No.: 46, Pages 1 - 5
Abstract
As a major hazardous source of high potential energy, tailings ponds have always been an important part of China's safety management work. In 2007, China began a series of special rectification and comprehensive treatment measures to strengthen the safety management of tailings ponds and curb the extraordinary accidents involving them. There are a large number of tailings ponds, and they are widely distributed. Monitoring their parameters is a complex task, which increases the difficulty of daily safety supervision. It is of great significance to improve the level of safety management and management efficiency of tailings ponds nationally. This paper aims to strengthen the informatization of tailings ponds by building a data warehouse through searching the basic national tailings pond data in real time using keyword retrieval, statistical analyses and the special management of similar tailings ponds. This paper uses the multi-channel basic statistical information of the tailings reservoirs to construct a multi-source data warehouse for tailings ponds based on the ETL/ELT (extract-convert-load/extract-load-convert) data warehouse architecture and maintenance technology. This approach provides the information technology support for the current situation of tailings ponds in China and can improve the safety management level of tailings ponds.
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Index Terms
- Application of a Multi-source Data Warehouse for Tailings Ponds
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October 2019
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Publication History
Published: 22 October 2019
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- Refereed limited
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- the National Key R & D Program of China
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CSAE 2019
CSAE 2019: The 3rd International Conference on Computer Science and Application Engineering
October 22 - 24, 2019
Sanya, China
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Overall Acceptance Rate 368 of 770 submissions, 48%
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