关键词: 钢轨铣磨车, 视觉感知强度, 人机界面优化, 灰狼-蚁狮算法

Abstract: How to obtain the information of milling parameters and the operating status of rail milling train quickly is the key to ensure the efficiency,quality and safety of the rail repair operation of the rail milling train.A method to optimize the human-machine interface of rail milling train based on the grey wolf—ant lion algorithm was proposed.Considering the requirements of multi-dimensional information,multi-process,multi-function and multi-object in the process of rail repair,the optimization model of human-computer interaction interface of rail milling mill with visual perception strength was established.A model solving algorithm based on gray wolf—ant lion algorithm was proposed to solve the problem of local optimum and extreme value approximation when solving the interface layout model with multiple decision variables,which obtained an optimization solution for the human-machine interface of rail milling train.An eye-movement experiment was conducted on the human-machine interface of the rail milling train before and after the optimization.The experimental results showed that the optimized human-machine interface layout was better than the original equipment design in terms of comfort,safety and interface rationality,which verified the effectiveness and feasibility of the model and algorithm.

Key words: rail milling train, visual perception intensity, interface layout optimization, grey wolf—ant lion algorithm