Narrow Results

With the wide application of building information modeling (BIM) technology in the field of architectural design, this study aims to explore the planning and design method of public space internal environment based on BIM topological relationship. Through in-depth analysis of the data structure and spatial topological relationships of BIM models, this study proposes a public space design framework that combines user needs and environmental standards. Collect and convert relevant data of public spaces into BIM models, use BIM technology to establish detailed models of spatial elements and their topological relationships, combine spatial connectivity, line of sight, and flow simulation analysis, and consider key factors such as spatial layout, lighting, and ventilation. Realize the planning and design of indoor environments in public spaces. The experimental results indicate that the method can effectively improve the quality of public space design and promote the sustainable development of the environment. This study not only highlights the application potential of BIM in public space design, but also provides a new design methodology for the internal environmental planning of public space.

In order to intuitively present the layout and design of the solar energy utilization system, improve the integrity, and consistency of the design. Design and analyze the solar energy utilization system of green buildings based on Building Information Model (BIM). The data acquisition layer collects relevant data of green buildings and solar energy utilization system in RFID and WSN mode and transmits them to the data processing layer; the data processing layer filters the data related to green buildings and solar energy utilization system according to IPC construction standards, and transmits them to the model layer through the Internet of Things; the model layer uses the REVIT software combined with the filtered data to build and update the BIM model of green buildings and solar energy utilization system, intuitively present the layout and design of the solar energy utilization system, and improve the integrity and consistency of the design; the application layer uses the fuzzy comprehensive evaluation model, combined with the green building and solar energy utilization system BIM model, to simulate and analyze the solar energy utilization system environment of green buildings; the user layer provides users with human–computer interaction functions to view the design and analysis process of the solar energy utilization system of green buildings. Experiments show that this method can effectively collect relevant data of green buildings and establish a BIM model of solar energy utilization system; this method can effectively design the solar energy utilization system of green buildings; the solar energy utilization system designed by this method can effectively reduce the electric heating capacity of green buildings, and has an excellent energy-saving effect.

Building Information Modeling (BIM) technology has revolutionized the architectural and construction industries by providing detailed digital representations of buildings, enhancing design efficiency and project management. Despite its widespread application, the utilization of BIM in optimizing interior space planning, particularly in boutique accommodations like guesthouses, remains underexplored. This research addresses the gap by introducing a novel method for interior environment space planning of guesthouses based on the topological relationships derived from BIM data. This study developed a new algorithm that utilizes detailed topology information from BIM in order to make space planning decisions more efficiently, thereby improving space utilization efficiency and guest experience. Through a comprehensive analysis of BIM topological relationships and the application of advanced optimization techniques, our method aims to optimize the use of space while considering the unique constraints and requirements of guesthouse environments. The proposed algorithm demonstrates significant improvements in spatial efficiency and design quality when tested against traditional planning methods on real-world BIM datasets. This research not only contributes a novel approach to the field of architectural design and planning but also offers practical implications for the enhancement of interior spaces in guesthouses, potentially influencing future applications of BIM technology in the hospitality industry.