The floor plan layout of museum exhibition spaces is the skeleton network of the museum, which determines the internal circulation and spatial form of the museum. This paper studies the method and practice of using artificial intelligence technology to assist in the space design of exhibition halls in urban cultural museums. First, it introduces the limitations of traditional space design methods for exhibition halls in urban cultural museums and the superiority and application prospects of the CGAN (conditional generative adversarial network) model in space design. Second, the principle and training process of the CGAN model are explained in detail, and the experimental results and analysis are given. By learning 100 floor plans of exhibition halls of urban culture museums, the CGAN model can generate a new floor plan design for an exhibition hall, which provides a new idea and innovative method for this design task. Finally, the limitations and future research directions of the CGAN model in the space design of urban cultural museum exhibition halls are discussed. The study shows that using the CGAN model to learn the floor plans of exhibition halls of urban cultural museums can effectively improve the innovation and practicability of space design and has the following advantages: (1) It can quickly generate a large number of exhibition hall floor plans, shorten the design cycle, and improve design efficiency. (2) The generated floor plan designs of the exhibition hall are diverse and personalized, meeting the design requirements of different scenarios and needs. (3) The method promotes the deep integration of space design and artificial intelligence technology and provides new possibilities and ideas for space design. These conclusions provide new ideas and methods for the space design of exhibition halls of urban cultural museums and provide a reference and inspiration for space design and intelligent applications in other fields, such as office space design, home decoration space design, landscape space design, and historical arcade and building renovation design.

The veranda buildings (Qi-lou) in Lingnan are important historical and cultural carriers of knowledge of the transformation of cities in Lingnan from traditional to modern forms. However, the restoration and protection of Qi-lou building facades faces challenges such as low efficiency, over-reliance on architects’ experience, and a lack of systematic technical tools. This study adopts computer vision techniques, specifically conditional generative adversarial networks (CGANs), to propose a new framework for generating realistic Qi-lou building facade designs. By collecting and processing 131 Qi-lou building facade samples, this study constructs a database covering various architectural styles, such as Gothic, Baroque, and Nanyang styles, and introduces a building exterior profile (BEP), a functional segmentation layout (FSL), and a three-stage hierarchical modeling approach for building elevation (BE) to achieve stylized facade generation. The main research findings are as follows: (1) The proposed CGAN model can accurately generate functional zoning layouts and effectively improve the design efficiency of Qi-lou building facades. (2) The generated facade images are consistent in style and structure, exhibiting high realism and significantly reducing the need for manual adjustments. (3) The generation quality of the model is significantly optimized as the input complexity (such as the number of windows and colonnades) increases. This shows that the framework proposed in this study can provide effective technical support for the restoration and innovative design of Qi-lou buildings in the Lingnan region.

Space syntax analysis technology is a smart city technology that can provide a unique perspective on the organization and layout of B&B indoor spaces. The study's goal is to look into how space syntax can be used to analyze the indoor space of IKKYO RESORT, a B&B in Yangshuo, Guangxi. It will combine space syntax parameters like connectivity and integration to show how space is accessible and flows. The analysis shows that reasonable spatial organization can enhance the fun and experience of the space, making tourists more comfortable in the B&B. Through in-depth analysis of space syntax, it provides a valuable reference for intelligent management, space optimization design, and renovation of B&Bs, which helps to improve the quality and attractiveness of B&Bs and create a better living experience for tourists. In short, space syntax provides powerful tools and methods for understanding and optimizing B&B's indoor space.

Taking Dongguan Naval Battle Museum as a typical case, this study uses space syntax to conduct an in-depth structural analysis of space, study the topological relationship and connectivity pattern inside the exhibition building, and provide valuable insights for the spatial organization of the exhibition building. In addition, the study also explores the crowd evacuation aspect. Based on the understanding of spatial structure through space syntax, this study found that: (1) Dongguan Naval Battle Museum should use variables such as selectivity, global integration, harmonic mean depth, visual connectivity, first-order moment index, visual integration, and pedestrian flow simulation as much as possible to improve the environmental quality and help people evacuate smoothly. (2) The exhibition hall should guide arrival and evacuation in space with the highest or second highest values of variables such as connectivity, intensity, controllability, and pedestrian flow simulation. (3) Space No. 1, as the central exhibition hall, not only has the highest visual connectivity and high recognizability but also performs best in the first moment index and the second moment index, indicating that it has strong spatial attraction and wandering potential. This study helps to improve the knowledge level of exhibition building management and provides practical guidance for improving the overall performance of such spaces.

Space syntax provides a unique perspective for understanding the distribution and flow patterns of people through the analysis of spatial structure. It can help us build more accurate people flow models and predict the direction and gathering of people. This article discusses the important application of space syntax in intelligent management of people flow simulation in Huangpu Youth Palace of Guangzhou. Based on space syntax model, an intelligent management system can be realized, which can monitor and regulate the flow of people in real time, optimize the guidance and distribution of the flow of people, and improve management efficiency and safety. The study found that the approximately gourd-shaped swimming pool and the open space adjacent to it almost uniformly display the highest areas of relativized entropy. This also shows that the swimming pool is the core area of this community activity center. Especially when children play outdoors, it is necessary to pay great attention to the safety of this area and add some management personnel and warning slogans. At the same time, the application of space syntax can also provide useful references for spatial planning and design, and promote the optimization of urban and built environments. Through in-depth research on space syntax and intelligent management of people flow simulation, we are expected to further improve the scientific and intelligent level of people flow management and create a more comfortable and safe space environment for people.

This paper takes the reuse of railway sleeper materials as the core analysis and discusses it in conjunction with the Guangzhou Panyu Old Town Renewal Project Wumi Congee (Congee Shop). The study found that the use of sleeper materials for recycling and application in the restaurant's building facade and interior decorations have the best effect of integrating into the environment.