Research On Evaluation Method Of Procedure Parameters In Operation Examination

In order to adapt the rapid development of Chinese power industry and ensure the safe operation,domestic operators are trained in the simulation operation of thermal power plants.To ensure the reasonable progress of the simulation training process,the performance evaluation system has been widely mentioned as an auxiliary training system.In this paper,the quality evaluation methods of process parameters are compared and studied in the simulation training process,the Pearson correlation coefficient is applied for evaluation as a new idea.The main contents of this paper include:Firstly,the application assumption of Pearson correlation coefficient is proposed in terms of evaluation for process parameters,it based on the analysi s of the operation characteristics in thermal power plant and comparation of those general algorithms.Then the feasibility of Pearson correlation coefficient is analyzed.Pearson correlation coefficient algorithm is programmed with Visual C++,it can calculate correlation coefficient and final score.And then,the communication link is established between simulation system of thermal power plant,performance evaluation system and data acquisition system.The operators operate the 300 MW thermal power simulation system to elevate the load,and the data acquisition system collects the operation data from the simulation training system at the same time.Interface display,algorithm evaluation and other functions are achieved by Visual C++.By comparing the final evaluation results of each simulation evaluation method,this new idea is made better for evaluation.Finally,based on the existing performance evaluation system and data acquisition system,the temperature and pressure of superheater and reheater in the process of the elevating the load of 300 MW simulation machine are evaluated.By comparing the error mean method,the root mean square method and the Pearson correlation coefficient method,it has verified the feasibility and validity of Pearson correlation coefficient method for the evaluation of process parameters.