Applied Mathematics and Nonlinear Sciences (Jan 2024)

Topology optimization-based visual element configuration method for exhibition display design

  • Wang Donglin,
  • Chen Yijun

DOI
https://doi.org/10.2478/amns-2024-2670
Journal volume & issue
Vol. 9, no. 1

Abstract

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The spatial characteristics and structure of the exhibition display design are summarized through the analysis of the topological relationship of the exhibition display spatial structure, and the RCTG algorithm in IBM technology is applied to extract the above-described exhibition spatial topological relationship. Based on the actual situation of the exhibition design, the structural space constraint relationship is determined, and at the same time, the model API provided by the BIM platform is called to construct the component model based on the topological constraint relationship. Aiming at the problems of large differences in lighting distribution and large differences in color in the process of exhibition display design, we optimize such problems through visual element processing operations and realize visual element configuration from three aspects: color, picture, and white space. A case study of the exhibition designed in this paper is conducted by setting the model parameters. The results present that in the simulation analysis of scene combination optimization when, the entry rate grows to 18vis./min, at this time, the user’s overall exhibition viewing satisfaction reaches the peak, and the optimal limit number of people is 46. In addition, in the lighting analysis of the side interface + top interface of the exhibition, 30% high side windows + 25% decentralized strip skylights (B1+F1) have the highest values of each lighting, the proportion of area with a lighting coefficient of >2% (99.497%), the proportion of area with an illuminance of 400lux (91.571), the average lighting coefficient (7.046), and the uniformity of lighting (0.192). This study verifies the practical feasibility of research on exhibition display design based on topology optimization through experimental analysis.

Keywords