Lighting design method of museum exhibition hall based on Internet of Things and deep learning

Article type: Research Article

Authors: Chen, Han

Affiliations: School of Architecture and Applied Arts, The Guangzhou Academy of Fine Arts, Guangzhou, Guangdong 510000, China | E-mail: ikouc@163.com

Correspondence: [*] Corresponding author: School of Architecture and Applied Arts, The Guangzhou Academy of Fine Arts, Guangzhou, Guangdong 510000, China. E-mail: ikouc@163.com.

Abstract: In order to improve the lighting effect of the museum exhibition hall, clearly express the exhibition content of the museum exhibition hall, a lighting design method of museum exhibition hall based on Internet of Things and deep learning is proposed. According to the characteristics and functions of light sources and lamps, select appropriate light sources and lamps, and establish a convolutional neural network to evaluate the performance of lighting characteristic network model through computing accuracy, precision, recall and F1 score. Because the illumination of museum exhibition hall cannot be too high, the light projection method is designed to realize the lighting design of museum exhibition hall from two aspects: lighting mode and lighting characteristics, environmental lighting and light source form. The experimental results show that the lighting design method of the museum exhibition hall based on the Internet of Things and deep learning can achieve more than 70%, which has a good lighting effect and can clearly express the display content of the museum exhibition hall.

Keywords: Internet of Things and deep learning, museum, exhibition hall, lighting design

DOI: 10.3233/JCM-215717

Journal: Journal of Computational Methods in Sciences and Engineering, vol. 22, no. 2, pp. 411-423, 2022