Smart capacitor exhibition hall design plan

Can a model generate a floor plan for an exhibition hall?

This study found the following: (1) The effect of model generation is compared with the architect’s design. The model can use experimental materials to generate and design the floor plan of the exhibition hall and finally present a clear space division and reasonable furniture arrangement.

Who designed museum exhibition hall floor plans in China?

Well-known museum design engineering companies in China (such as Guangdong Jimei Design Engineering Company, Hangzhou Zhengye Decoration Design Co., Ltd., Shenzhen Silk Road Cultural Development Co., Ltd., and Guangzhou Litian Exhibition Design Engineering Co., Ltd.) provided the majority of the collected museum exhibition hall floor plans.

What is a good design for an exhibition hall?

On the whole, the flow line of the exhibition hall is relatively clear, and the space division is reasonable. There are also different spatial forms of circles and squares, and the space experience is richer. The outcome of model generation is inferior to that of designs produced by qualified architects.

Can a cGAN model generate a museum exhibition hall floor plan?

The research results show the following: (1) the method proposed in this paper takes advantage of the CGAN model and can generate a museum exhibition hall floor plan design with certain regularity according to the given conditions, rather than pure random generation.

Can a space division model be used to design an exhibition hall?

The extensive experiments and evaluation results show that the model can generate proposals with clear space division and reasonable furniture layout and can accurately identify and process the features and details of the exhibition hall.

How can artificial intelligence improve floor plan design for museum exhibition halls?

In order to improve design efficiency and accuracy, in recent years many scholars have proposed artificial-intelligence-based floor plan design methods for museum exhibition halls . Among them, methods based on conditional generative adversarial networks (CGAN) have received extensive attention .