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Research on Safety Evaluation and Early Warning Decision System of Hydropower Equipment Based on Power Big Data Technology

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DOI: 10.23977/cii2019.97

Author(s)

Wang Changlin, Wu Yu, Tang Mingliang, Lu Zhihai, Qin Taisong, Hao Xia

Corresponding Author

Wang Changlin

ABSTRACT

Hydropower equipment has the characteristics of high frequency and high load in operation, and safety problems may occur under long-term operation. Once such problems occur, it will cause safety problems at the work site and affect the quality of hydropower energy supply, so it needs to be taken seriously. In order to ensure the safety of hydropower equipment, it is necessary to establish a safety assessment method. Under this condition, traditional manual evaluation methods are affected by artificial instability and error, and there are many defects. Combined with modern big data technology, a better one can be obtained. The evaluation system can give artificial early warning decision assistance according to the evaluation results of the system. In order to understand the application of big data technology in this paper, relevant analysis work will be carried out.

KEYWORDS

Electricity; big data; safety assessment of hydropower equipment

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