The global energy structure transformation and the development of renewable energy have led to a continuous increase in the construction and operation scale of wind farms. The management and operation level of wind farms are related to their economy and reliability. In addition, the wind power industry in China has formed a trend of group and scale development, and the traditional decentralized offline monitoring mode has drawbacks. To solve such problems, the project I am working on is based on cloud native technology, combined with microservices and containerization architecture, to develop a centralized and unified monitoring platform for wind power generation that is elastic, scalable, highly available, secure, comprehensive, and multi terminal supported. It can collect and process data from all wind farms in a unified manner, and is applied to regional command screen monitoring, automated report generation, wind power loss actuarial, multi system integration and other scenarios. It provides support for management decision-making, improves the operational efficiency and benefits of wind power enterprises, and promotes the digital transformation of the wind power industry. The platform will combine artificial intelligence and other technologies to achieve the construction of an intelligent and integrated digital twin system.

Zifu Zhang, Xiangnan Xu, Yan Jin. Application of Centralized and Unified Monitoring in Wind Power Generation. The Frontiers of Society, Science and Technology (2026), Vol. 8, Issue 1: 7-12. https://doi.org/10.25236/FSST.2026.080102.

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