Optimization method for human-machine interface layout of rail grinding vehicle based on visual perception domain
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 pro-posed to solve the problem of local optimum and extreme value approximation when solving the interface layout mod-el 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 lay-out 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.
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