Author(s)

Hong Sun ¹, Min Lai ²

Affiliation(s)

¹ Zhejiang Shuren University, Hangzhou, Zhejiang, 310000, China
² Zhejiang Provincial Institute of Architectural Design and Research, Hangzhou, Zhejiang, 310000, China

Corresponding Author

Min Lai

ABSTRACT

An intelligent design and dynamic adaptation model of building facade based on artificial intelligence (AI) is proposed. The model adopts hierarchical architecture, including data acquisition layer, intelligent design layer and dynamic adaptation layer. The data acquisition layer collects environmental parameters and user preference information through sensor networks and user surveys; Intelligent design layer uses deep learning and genetic algorithm to generate a variety of innovative and practical design schemes; The dynamic adaptation layer combines reinforcement learning and fuzzy control algorithm to optimize and adjust the design scheme according to real-time environmental changes and user feedback. The experimental results show that the model is superior to the traditional method in terms of design innovation, practicability and user satisfaction. The building energy efficiency is improved by 18.27%, the residential comfort score is improved by 22.39%, and the user satisfaction score is improved by 20%. This study provides an intelligent and dynamic solution for building facade design, which has important theoretical and practical significance.

KEYWORDS

Artificial intelligence; intelligent design; dynamic adaptation; building facade

CITE THIS PAPER

Hong Sun, Min Lai, Intelligent design and dynamic adaptation model of building facade based on artificial intelligence. Journal of Artificial Intelligence Practice (2025) Vol. 8: 92-97. DOI: http://dx.doi.org/10.23977/jaip.2025.080113.

REFERENCES

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[3] Shan Junqiang, Li Haitao, Xing Guodong, & Zhang Hu. (2023). Design of Railway Maintenance Data Information Integration Platform Based on Artificial Intelligence. Mini-Micro Systems, 39(10), 226-229.
[4] Wang Zihan, & Wei Xuemei. (2024). Artificial Intelligence and Adaptation Design for Aging in Urban Old Residential Areas. Shanghai Textile Science and Technology, 52(2), 105-105.
[5] Bao Tao, Cheng Lifeng, Chen Boxi, & Yu Tao. (2018). Design of Reactive Power Optimization Analysis Software Based on Artificial Intelligence Algorithms. Power System Protection and Control, 46(3), 8.
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[7] Zhao Yongtao, & Gao Jingwei. (2024). Application of New Generation of Artificial Intelligence Technologies in Graphic Design. Packaging Engineering, 45(4), 226-234.

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