Study on the Cognitive Reliability Evaluation Model for the Digital Human-Computer Interface Management Task of Nuclear Power Plant
The interface management task of digital nuclear power plant affects the performance of the first task,then new problems about human factors can come into being.Aim at the situation,the influencing factors and cognitive reliability model based on the BP neural network are proposed in this paper for three cognitive phases including monitoring,situation evaluation,executing based on the interface management task of digital nuclear power plant,it provides guidance for human reliability analysis.The training and testing samples from three different cognitive stages were selected respectively,and the results obtained by using the linear weighting method were used as the expected output of the neural network training process.The reliability neural network evaluation models of three cognitive processes were obtained.The training results show that the training errors of three cognitive stages could achieve the expected goals,and the testing errors are almost consistent with target errors,the errors are in an acceptable range.The model can be applied to human reliability evaluation of digital nuclear power plant interface management tasks.
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