Optimization Research Of Evaluation Scheme For Operator Skill Based On PSO

With the development of simulation technology,simulation and training system is more complicated,specialization and automation.training simulation system of power plant is a professional,highly complex and highly automated system.The evaluation system is an integral part of the simulation training system,which can guide the operator's operation,toevaluate the student's operation ability and exam students troubleshooting at the same time.The topic for the proportion of the evaluation system set up complex problems is proposed based on particle swarm optimization algorithm(PSO)optimization of the weights of the evaluation system,using multiple expert scoring as a benchmark,compared with expert scoring system,in order to optimize the scoring system of the weight,the weights of experts and evaluation results are consistent the evaluation system,the score of subjective and objective can be better combined.This paper firstly introduces the power system and the characteristics of the design and implementation of power plant evaluation system,the simulation system of power station machine as the research object,according to the standard operation procedures of power plant,grinding coal machine specific operation start operation,receiving operation data,using power score evaluation system,repeated operation,in order to score,expert at the same time score.Finally,the application of particle swarm optimization algorithm to optimize the weights.After the experiment,the optimization algorithm can be more professional and objective evaluation of the operation results,so it has certain application value.