| The purpose of this paper is to evaluate the human reliability for the robotic surgical system,and plans to establish a general evaluation model.The model is able to establish the factors that affect the reliability of the system,analyze the correlation,determine the weight,and predict the risk.At the same time,the validity and superiority of the model are verified by the application of the lung cancer puncture robotic surgical system.The main research contents and results are as follows:Firstly,a set of factors affecting system reliability was proposed,and a model for analyzing the correlation was developed.The model combines the interpretive structural modelling and the correspondence analysis methods,which can realize graphical combing of correlations,establishment of multi-level structural hierarchy diagrams,quantitative calculation of correlation coefficients.The model is improved by considering the negative correlations and establishing local coordinates.This model reduces the standard error of the coefficient,so that the results can more truly reflect the system situation,and help managers find the system optimization direction.Secondly,the weight algorithm based on the analytic network process were developed.And applying interval-valued intuitionistic fuzzy sets to optimize the evaluation set,which reduces subjectivity caused by single value.Besides,getting the weight vector based on the matrix consistency condition can reduce the work repeatability and break the limits of consistency checking.After application,weight distribution is correlated with the results of traditional method,which proves correctness of improved model,while the smaller standard error proves its superiority.Finally,a human error probability prediction method was proposed.The fuzzy theory is used to establish the evaluation set to describe the uncertainty of factors more objectively.Bayesian network is used to optimize the distribution of the control mode to improve the results accuracy.And the fault tree model is used to combine the failure probability of basic events.Through result analysis,the evaluation model can collect more failure information with higher sensitivity,and can provide reasonable direction for system optimization,so as to reduce system risks and improve reliability.In this paper,a risk prediction model for surgical robot system was developed based on the improved cognitive reliability and error analysis method.The correlation analysis and the weight distribution method were integrated,which effectively improved the accuracy,applicability and comprehensiveness of risk identification. |
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