Research on the design of booth space in furniture exhibitions based on big data analysis

Abstract

In this paper, we first use VR technology to spatially calibrate the flat images of furniture booths and use a fisheye camera to obtain the visual features of booth space layout with coordinate information and color information in 3D space to construct a 3D geometric model. Then, the booth layout framework is used to extract the scene information, and the visualization processing and fusion of layout nodes are realized using coordinate conversion to complete the multi-user interactive genetic algorithm-based booth space layout to visualize and analyze the furniture layout of the booth space. After testing, we found that before optimizing, the area occupied by individual furniture SA tends to increase with the increase in a number of furniture. After optimization, the average area utilization of the booth increased by 23.6%, the number of furniture that can be accommodated in a single furniture area increased by 81.82% on average, and the booth space utilization was highly improved.