The Application of Data Mining Technology in Electric Power Lean Production Control System

In power lean production control system, the application research of control system is very important, but it has the problem of performance positioning error. Traditional particle swarm optimization can't solve the problem of inaccurate system positioning in power lean production control system, and the result is not satisfactory. Therefore, an application research method based on data mining technology is provided, and the application of data mining technology in power lean production control system is evaluated. First, the data set theory is used to discover the influencing factors, and the indicators are divided according to the needs of the applied research of control systems to reduce the interference factors in the applied research. Then, using data set theory, a research scheme of data mining technology control system application is constructed, and the results of control system application research are comprehensively tested. The MATLAB simulation results show that under some evaluation conditions, the data mining technique outperforms the standard particle swarm optimization algorithm in terms of accuracy and time of influencing variables in the study of application of control systems.