Geometric Lightweight Design of Digital Twin Model Based on Improved Edge Folding Algorithm
This paper was proposed to analyze the reasons for the large memory usage of digital twin models,and propose a geometric lightweight method for digital twin models based on the classic edge collapse algorithm to improve the real-time performance and stability of the virtual-physical mapping relationship in digital twin technology.The author first analyzes the data structure of the digital twin model for the sewing bag robot palletizing production line.Secondly,based on the classic edge collapse algorithm,the quadratic error metric is introduced as the cost of edge collapse,and a control collapse factor is designed.Furthermore,the edge collapse algorithm is improved using multi-level of detail technology.Finally,four sets of comparative experiments are designed and conducted for testing.The results show that the number of vertices after simplification are count decreased by an average of 50.14％;The memory occupied by the simplified file is reduced by 79.08％;It meets the geometric shape error requirements of the digital twin model and greatly improves the frame rate of the scene animation.It is proved that the designed geometric lightweight method of digital twin model greatly reduces the geometric primitives of the model,reduces the memory occupied by the model file,effectively improves the real-time and stability issues of the one-to-one mapping relationship between virtual and physical products in digital twin technology,improves the real-time rendering effect of the scene,and maintains the details and visual effects of the model.
digital twin modelgeometric lightweightedge collapse algorithmquadratic error measurement algorithmHausdorff distance
万方数据
维普
