Digital Twin Modeling And Path Planning Control Of Smart Cars

With the rapid progress of science and technology,the manufacturing industry is undergoing unprecedented changes,and digital intelligent manufacturing has become the mainstream trend in the development of today’s manufacturing industry.As one of the enabling technologies in digital intelligent manufacturing,digital twinning requires increasingly mature related technologies.Using digital twinning technology can better perform motion simulation and data monitoring on real physical entities.Based on the relevant theories of digital twins and the five dimensional model structure of digital twins,the smart car is mainly studied as a physical entity,virtual entity,twin data,service,and connection.In terms of path planning,the global path planning of smart car in the race track environment is studied.The main work is as follows:The first step is to establish a virtual model of the smart car.The 3D geometric model of the smart car is drawn using SOLID WORKS software,and the model is lightweight processed using 3DS MAX software.Finally,the model is imported into the Unity 3D visualization platform.Secondly,in the path planning research,perspective transformation is used to restore the perspective distortion problem of the track image captured by the camera;By comparing the simulation results of ant colony algorithm and Dijkstra algorithm in the race track environment,it is found that Dijkstra algorithm plans shorter paths,with higher smoothness and security.Dijkstra algorithm is selected for subsequent path planning research;When constructing a track environment map,the method of extracting the skeleton first and then expanding it is used,which not only solves the problem of excessive data volume when directly constructing a grid map,but also obtains a path far from the boundary,improving the safety and smoothness of the path.Finally,there is the collection,interaction,and comprehensive experiment of smart car data.The collection of smart car data is mainly aimed at steering gear and micro DC deceleration motors.The comprehensive experiment first models the race track environment,designs a data visualization interface,and then verifies the correctness of the virtual model behavior and actions of the smart car.Finally,it verifies the feasibility and adaptability of the relevant technologies used in this article.