Research On Human-machine Interface Layout Optimization And Evaluation Of Electric Locomotive Cab

With the increase of electric locomotive carrying capacity,higher requirements are put forward for the safety and reliability of locomotive cab.As a more complex man-machine-environment system,the locomotive cab is mainly composed of man-machine interface system and working space.At present,the layout design of human-computer interaction interface system is too subjective,which can not meet the physiological characteristics and psychological laws of drivers in operation tasks,and it is difficult to ensure the interactivity and agreeableness of human-computer interaction.Therefore,the layout principle of human-machine interface of locomotive cab is summarized,and the optimization model of human-machine interface layout is constructed.The genetic-tabu algorithm is used to solve the model to form the layout scheme of human-machine interface.On this basis,the eye movement experiment is designed to construct the evaluation model of human-machine interface layout scheme from multiple dimensions.The main research contents are as follows :(1)Build human-machine interface layout optimization model.Based on the general principle of human-computer interaction system design,the layout principle of display and control components and the physiological characteristics of driver driving,the layout principle of human-computer interface in locomotive cab is summarized.The locomotive cab interface is simplified to a two-dimensional plane,and the functional areas are divided according to the characteristics of locomotive driving operations.After abstracting the layout principle,the group decision eigenvalue method-analytic hierarchy process is used to quantify the layout principle of each component into each sub-objective function,and the modular analysis of the layout principle of the panel is carried out.Finally,the correlation model of component comprehensive weight-panel modularization-interface layout is established.(2)Human-machine interface layout optimization algorithm.By combining the advantages of genetic algorithm and tabu search algorithm,a genetic-tabu algorithm is proposed to solve the established component comprehensive weight-plane modularization-interface layout correlation model.Through the example application,the feasibility of the genetic-tabu algorithm in solving the layout optimization problem is verified,and compared with the traditional genetic algorithm.The human-machine interface layout scheme before and after optimization is analyzed by JACK simulation software,and the human-machine interface layout scheme before and after optimization is compared.(3)Comprehensive evaluation of locomotive cab man-machine interface layout scheme.The index system is established from four dimensions :subjective satisfaction,operational performance,interface energy efficiency and interface cognitive load.The driving task process is formulated and the eye tracking experiment is designed.The AHP-entropy weight method is used to analyze the subjective and objective data of the subjects in the task process,and finally the comprehensive evaluation of the human-machine interface of the locomotive cab is realized.Through research,the model is established and the algorithm is used to solve the human-machine interface layout scheme,so that the layout optimization is more objective and reasonable,and the results are more practical.The establishment of comprehensive evaluation of human-machine interface layout provides a more objective evaluation method,which has certain theoretical significance and practical application value.