School of Civil Engineering and Architecture, Shandong University of Science and Technology, Qingdao City, China.
PLoS One. 2023 Mar 3;18(3):e0282158. doi: 10.1371/journal.pone.0282158. eCollection 2023.
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.
为了对人工智能的具体建筑模型进行全面的设计描述，将人工智能的辅助模型与建筑空间智能深度融合，并根据实际情况进行灵活设计。人工智能辅助生成建筑意图和建筑形式，主要支持学术和工作理论模型，推动技术创新，从而提高建筑设计行业的设计效率。人工智能辅助建筑设计使每个设计师都能实现设计自由。同时，借助人工智能，建筑设计可以更快、更高效地完成相应的工作。借助 AI 技术，通过调整和优化关键字，AI 可以自动生成一批建筑空间设计方案。在此背景下，通过对 AI 模型、建筑空间智能辅助模型、语义网络和建筑空间内部结构分析的文献研究，建立了建筑空间设计的辅助模型。其次，从数据源上保证建筑空间的三维特征，基于空间设计的整体功能和结构分析，对深度学习的建筑空间辅助智能设计进行了研究。最后，以 UrbanScene3D 数据集中选择的 3D 模型为研究对象，测试了 AI 建筑空间智能模型的辅助性能。研究结果表明，随着网络节点数量的增加，模型在测试数据集和训练数据集上的拟合度逐渐降低。综合模型的拟合曲线表明，基于人工智能的建筑空间智能设计方案优于传统建筑设计方案。随着网络连接层节点数量的增加，空间温度和湿度的智能评分将继续上升。该模型可以实现建筑空间的最佳智能辅助效果。该研究对促进建筑空间设计的智能化和数字化转型具有实际应用价值。
