Research On Exhibition Space Design Based On Three-dimensional Cumulative Viewshed

In view of the relative lack of spatial visual analysis tools for the current exhibition space design,it is difficult to quantify and effectively guide the design scientifically.Designers mostly design space from the perspective of exhibits,and pay less attention to human experience,especially dynamic visual experience.With the development of architectural design towards humanization and precision,the research on spatial visual perception based on individuals has been paid more and more attention.However,most of the existing researches focus on static vision and two-dimensional aspects,while less on dynamic vision and three-dimensional aspects.From the perspective of path-visual relevance,the study analyses the relationship between exhibition space and human visual experience,taking the exhibition space as the entry point,using the motion path as the classification basis,and using the threedimensional cumulative viewshed technology as the method kernel to carry out the classification,path extraction and 3D modeling of exhibition space.Using 3D cumulative viewshed algorithm to calculate,summarizing the path features and dynamic visual features under different path types,exploring the correlation between path-visual,and finally propose the optimization of exhibition space design.The method promotes the intelligent and precise design of the exhibition space and enhances the quality of the exhibition space.Based on the Grasshopper parameterization platform and the Ladybug visual analysis algorithm,the 3D cumulative viewshed algorithm is constructed.The specific steps for analysis are as follows.Firstly,3D modeling based on site mapping or scheme design;secondly,importing the model into the grasshopper platform,using the Quelea algorithm and behavior annotation method for path picking,setting related parameters;thirdly,running the algorithm for simulation analysis,generating a single point of view field by path subdivision viewpoint and accumulating,and obtaining cumulative visibility distribution in space;finally,The result data is analyzed to obtain the cumulative viewshed distribution state and dynamic visual features of the space.The application of the new technology transforms the two-dimensional static field of view analysis into a way of simulating the visual information of the individual along the path and then obtaining the state of the three-dimensional visual distribution,and can modify and get feedback in real time.The pure spatial analysis model shields multiple influencing factors in the real world and expands some of the potential constraints in the concept and design content and gains a clearer understanding.The main results of the thesis are summarized as follows.Classifying the exhibition space based on the path,using the three-dimensional cumulative viewshed tools,summarizing the path and visual features of differ ent path types,providing quantitative basis and theoretical basis for spatial visual perception research.At the technical level,the cumulative viewshed is introduced into the exhibition space,and the three-dimensional cumulative viewshed algorithm is optimized.On the basis of this,from the perspective of “path-visual” relevance,the dynamic visual experience of human beings is the goal,and the relevant theories are integrated.The technology proposes the optimization method of exhibition space design,which provides quantitative basis and guidance for the design and optimization of exhibition.The exhibition space design should return to the human experience perception,adapt to the needs of the times,combine cutting-edge technology,express the humanistic connotation of space,and realize the transition of exhibition space design to a higher level.