中圖分類號：TP39；TK83文獻(xiàn)標(biāo)識碼：ADOI:10.19358/j.issn.2097-1788.2025.08.011
引用格式：王芯，徐頌，冷柯. 基于SCADA的風(fēng)電數(shù)據(jù)分析平臺設(shè)計與實現(xiàn)［J］.網(wǎng)絡(luò)安全與數(shù)據(jù)治理，2025，44（8）：72-78.

Design and implementation of wind power data analysis platform based on SCADA

Abstract： In recent years, China′s new energy has developed rapidly, and wind power has become one of the main power generation methods. With the development of big data, artificial intelligence, the Internet of Things, cloud computing, and natural language processing technologies, as well as the support of national policies, big data analysis has gradually been widely applied in the field of wind power intelligence. By redesigning the architecture of the Supervisory Control and Data Acquisition (SCADA) system for wind power, a SCADA-based wind power data analysis platform was built to classify, collect, transmit, preprocess and store the data. The platform redefines wind power data, evaluates equipment and systems in real time from multiple dimensions, and introduces multivariate state estimation technology to verify that the platform can better improve the performance indicators of the model. This research aims to use big data analysis to conduct fault warning and operation guidance, establish an intelligent control platform with a new energy system, and thereby improve the operational efficiency and reliability of wind farms.

Key words : SCADA;wind power; big data; data analysis