Intelligent design and dynamic adaptation model of building facade based on artificial intelligence

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.

Publication Details

Journal
Journal of Artificial Intelligence Practice
Published
2025-01-01
DOI
https://doi.org/10.23977/jaip.2025.080113
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
0.00
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article

Intelligent design and dynamic adaptation model of building facade based on artificial intelligence

Journal of Artificial Intelligence Practice
BIM and Construction Integration
article

Intelligent design and dynamic adaptation model of building facade based on artificial intelligence

article en

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.

Journal of Artificial Intelligence PracticeVol. 8(1)
Sustainable cities and communities
Openalex Percentile: Top 95%
BIM and Construction Integration
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Intelligent design and dynamic adaptation model of building facade based on artificial intelligence · Journal of Artificial Intelligence Practice (2025) | TGRS Research Map | TGRS