Exploration of the intelligent-auxiliary design of architectural space using artificial intelligence model

Abstract

In order to carry out a comprehensive design description of the specific architectural model of AI, the auxiliary model of AI and architectural spatial intelligence is deeply integrated, and flexible design is carried out according to the actual situation. AI assists in the generation of architectural intention and architectural form, mainly supporting academic and working theoretical models, promoting technological innovation, and thus improving the design efficiency of the architectural design industry. AI-aided architectural design enables every designer to achieve design freedom. At the same time, with the help of AI, architectural design can complete the corresponding work faster and more efficiently. With the help of AI technology, through the adjustment and optimization of keywords, AI automatically generates a batch of architectural space design schemes. Against this background, the auxiliary model of architectural space design is established through the literature research of the AI model, the architectural space intelligent auxiliary model, and the semantic network and the internal structure analysis of architectural space. Secondly, to ensure compliance with the three-dimensional characteristics of the architectural space from the data source, based on the analysis of the overall function and structure of space design, the intelligent design of the architectural space auxiliary by Deep Learning is carried out. Finally, it takes the 3D model selected in the UrbanScene3D data set as the research object, and the auxiliary performance of AI’s architectural space intelligent model is tested. The research results show that with the increasing number of network nodes, the model fitting degree on the test data set and training data set is decreasing. The fitting curve of the comprehensive model shows that the intelligent design scheme of architectural space based on AI is superior to the traditional architectural design scheme. As the number of nodes in the network connection layer increases, the intelligent score of space temperature and humidity will continue to rise. The model can achieve the optimal intelligent auxiliary effect of architectural space. The research has practical application value for promoting the intelligent and digital transformation of architectural space design.

Design of urban innovation space system using artificial intelligence technology and internet of things

“…In addition, with the help of AI technology, through the adjustment and optimization of keywords, AI automatically generates a number of architectural space design schemes. The auxiliary model of architectural space design is established, and the literature research is carried out through the analysis of AI model, intelligent auxiliary model of architectural space, semantic network and internal structure of architectural space [ 33 ]. This echoes the research of Li et al (2023), who emphasized that AI can automatically generate a number of architectural space design schemes by adjusting and optimizing keywords.…”

The Application and Prospects of Digital Visualization in Urban Public Building Space Design

“…With the introduction of AI technology products in the market and the increasing popularity of AI-powered conversational models like ChatGPT, more and more people are paying attention to the impact of AI on the architecture design industry. Hongyu Li et al [28] analyzed the data transmission process of architectural space models based on semantic networks and architectural spatial structure analysis. The fitting curves of the comprehensive model demonstrated that AI-based intelligent architectural spatial design solutions outperformed traditional architectural design solutions.…”

Integrating ChatGPT, Bard, and Leading-Edge Generative Artificial Intelligence in Architectural Design and Engineering: Applications, Framework, and Challenges

“…The convergence of Artificial Intelligence (AI) and architecture is a revolutionary era in how we conceptualize, design, and construct our physical surroundings (As et al, 2018;Li et al, 2023;Wang and Chen, 2022;Castro Pena et al, 2021;Ji, 2022). Key players in this transformation include generative models like ChatGPT and Bard, which have become influential in reshaping the architectural landscape (Raza et al, 2023;Çaliskan, 2023;Abrusci et al, 2023).…”

“…The infusion of generative AI into architectural theory marks a paradigm shift, redefining the essence of creativity in architectural design (Li et al, 2023;Castro et al, 2021). Traditional theories centered on human intuition and experience, but the integration of AI introduces a compelling blend of machine intelligence and human ingenuity (Zhang, 2022;Cudzik and Radziszewski, 2018;Chen et al, 2023;Sönmez, 2018;Winiarti et al, 2022).…”