Research on the management and control technology of pumped storage infrastructure based on big data model

Abstract Due to the characteristics of hydropower project construction, such as long construction period, many links, many participants and complex management, State Grid Corporation needs to enhance its ability to control the construction process by means of information technology. Under this background, a business evaluation method for hydropower project construction is designed and studied. Information is extracted from the supervision monthly report generated during the actual production and construction of the company, combined with domain knowledge and business experience, and according to the information extraction results, an evaluation model based on rules, classification and regression is designed. The company's hydropower project construction safety prediction, quality supervision, progress construction, technology and economic analysis of four aspects of evaluation.

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Publication Details

Journal
ce/papers
Published
2025-03-01
DOI
https://doi.org/10.1002/cepa.3266
Primary Topic
Big Data Technologies and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Research on the management and control technology of pumped storage infrastructure based on big data model

Jialong Liu, Xiangze Fei, Ke Gu, Wang Hui-ying
ce/papers
Big Data Technologies and Applications
article

Research on the management and control technology of pumped storage infrastructure based on big data model

Jialong Liu, Xiangze Fei, Ke Gu, Wang Hui-ying
article en

Abstract

Abstract Due to the characteristics of hydropower project construction, such as long construction period, many links, many participants and complex management, State Grid Corporation needs to enhance its ability to control the construction process by means of information technology. Under this background, a business evaluation method for hydropower project construction is designed and studied. Information is extracted from the supervision monthly report generated during the actual production and construction of the company, combined with domain knowledge and business experience, and according to the information extraction results, an evaluation model based on rules, classification and regression is designed. The company's hydropower project construction safety prediction, quality supervision, progress construction, technology and economic analysis of four aspects of evaluation.

ce/papersVol. 8(2)
North China Electric Power University (CN), China Electric Power Research Institute
State Grid Corporation of China
Openalex Percentile: Top 94%
Big Data Technologies and Applications
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