Research on Data and System Integration of Intelligent Power Plant Based on Big Data Platform

Abstract

[Introduction] The purpose of the research is to propose a classification and fusion method for the data acquisition and system integration of various application systems of the intelligent power plant by studying the overall platform architecture of the intelligent power plant, and provide a reference for the integration scheme of the system and the big data platform in intelligent power plant. [Method] First, the division of four levels of the intelligent power plant was described. Then, the application system's data was collected and integrated according to the safety partition requirements, with the big data platform database as the core for interaction. Finally, according to the classification of three types of integration, the scheme of intelligent power plant application system was analyzed. [Result] The analysis and integration of the current architecture system of the intelligent power plant and data acquisition and application system greatly improved the efficiency and intelligence level of the big data platform. [Conclusion] With the gradual promotion and application of intelligent power plants in the China's power industry, technical research and planning in advance according to the project needs is conducive to building a highly integrated intelligent integration platform, which is conducive to big data analysis and interaction.

Keywords

• intelligent power plant
• big data platform
• data integration
• system integration
• intelligent control platform