Art Museum Design Based On Big Data And Virtual Reality

The art museum is not only an exhibition building that carries the function of cultural output,but also an important public activity space in the city.The existing architectural design logic is mainly based on the environment and the needs of Party A.The design quality is determined by the level of the architect.Therefore,in the design process,it is often not considered from the perspective of tourists,resulting in many defects in the actual use of the building.This article selects two technologies,big data and virtual reality,as research methods,and takes the respective advantages of big data(large amount of data,long time span,and strong data diversification)and virtual reality(timely feedback,immersive experience)to evaluate existing art museums.The study uses Python programming to collect 173,163 words of social media data for the two museums of Kimbell Art Museum and Philbrook Museum of Art between 2010 and 2019.The data visualization is completed through open-source software and combined with the post-occupancy evaluation concept for analysis,and the results are related to guide space and landscape design.At the same time,virtual reality technology is used to complete the virtual tour of the art museums.A total of 61 samples of experimental data are collected through questionnaires,and design guidance on landscape preferences,behavior preferences,streamline preferences,and exhibition preferences are obtained.Finally,the actual project "Shicheng Feng Art Museum of Tangyin County,Henan Province" was designed based on the conclusions obtained.Provide guidance for the design of exhibition buildings in both theory and practice.