Wind turbine real-time data analysis and monitoring and warning system based on Storm

Abstract

Abstract This paper introduces a real-time data analysis and monitoring and warning system for wind turbines based on Storm platform. Firstly, the framework and core components of Storm technology are introduced in detail, as well as the related Kafka technology. At the same time, the method of data forecasting is introduced. In state prediction algorithm based on naive Bayes, the basic idea of naive Bayes algorithm is introduced in detail, and the pseudo-code setting meter of the algorithm is given. In addition, the wind turbine condition warning algorithm is designed and implemented. In the chapter of real-time data analysis and early warning system design and implementation for wind turbine, the database is designed, including the design of MySQL database and HBase database, the design and reality of real-time data analysis and visualization system, and the design and reality of wind turbine fault early warning system. Finally, in the chapter of system test and analysis, the system environment and test data set are described, and the prediction algorithm based on naive Bayes is tested and the system is tested.