Research and design of intelligent analysis and management platform for wind power generation

This study aims to utilize industrial big data to provide a comprehensive management solution for wind power plants. The project covers the entire equipment lifecycle, service process optimization, and supply chain inventory, constructs an offline data warehouse and real-time data processing to achieve centralized data and rapid analysis; focuses on hierarchical data storage and sharing to ensure quality and timeliness; intelligent analysis technology monitors equipment in real-time, predicts fault sales, and optimizes service inventory; helps wind power service providers transform, builds a user-centered service ecosystem, and promotes sustainable development.

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Publication Details

Published
2025-06-30
DOI
https://doi.org/10.1117/12.3067092
Primary Topic
Power Systems and Technologies
Type
article
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Research and design of intelligent analysis and management platform for wind power generation

Xiaoyun Guang, Xiaoqing Bu, Yuhuan Zhang, Yihan Ma et al.
Power Systems and Technologies
article

Research and design of intelligent analysis and management platform for wind power generation

Xiaoyun Guang, Xiaoqing Bu, Yuhuan Zhang, Yihan Ma, Yiming Yin, Ruxin Zhang, Xiaochuan Song
article en

Abstract

This study aims to utilize industrial big data to provide a comprehensive management solution for wind power plants. The project covers the entire equipment lifecycle, service process optimization, and supply chain inventory, constructs an offline data warehouse and real-time data processing to achieve centralized data and rapid analysis; focuses on hierarchical data storage and sharing to ensure quality and timeliness; intelligent analysis technology monitors equipment in real-time, predicts fault sales, and optimizes service inventory; helps wind power service providers transform, builds a user-centered service ecosystem, and promotes sustainable development.

Jining University (CN)
Affordable and clean energy
Openalex Percentile: Top 87%
Power Systems and Technologies
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