การพัฒนาระบบการแสดงมโนภาพของข้อมูลทรัพยากรอาคารแบบสามมิติสำหรับคณะวิศวกรรมศาสตร์ มหาวิทยาลัยเชียงใหม

Abstract

At present, building physical resource management is important building management and maintenance for efficient building management and stepping into the elevation of city administration to be a smart city. In Thailand, the Ministry of Digital Economy and Society (MDES) drives and develops smart cities in the country. Chiang Mai is considered one of the first seven provinces in that MDES has developed plans to fight smart cities. It planned to focus on tourism promotion Smart farming model for agriculture and organized the city health project.

Meanwhile, Chiang Mai University is one of the leading organizations in the region with the readiness and potential to help drive smart city policy. In this regard, Chiang Mai University has developed the development Plan Phase 12, which is the first time promotion the proactive strategy of environmental and energy innovation. This plan aims to lead the design smart city development master plan. Moreover, the university has set the main operating directions in pursuing the Sustainable Development Goals (SDGs). Thus, for those convinced of the need to combine many buildings and physical information for resource management purpose. The tool could be on a platform the 3D geographic information system model and the internet of things (IoT), creating a platform where information can be collected and analyzed in real-time can effectively help executives.

However, various limitations in collecting data from a large university area may take a lot of time and budget, and this study was the initial development of the system. Furthermore, the entire campus area may not be required as a study area. Therefore, the Faculty of Engineering was chosen as the model to create and develop a digital twin model initially. The study process starts with collecting building’s physical data and creating 3D building model. The next step is to bring the data into a platform that merges the data. The last step is to create a channel to access information for further management purpose.

The result is a 3D model of all buildings within the Faculty of Engineering and the necessary geographic information. This research found that the total usable area of the building was 88,633.14 square meters, and the surrounding area was 126,614.04 square meters, with a total of 85 species of plants and 743 trees. Data are used to present the 3d models of buildings and surrounding areas of the Faculty of Engineering in the pattern. This result positively affects managing the building's physical resources and the developing a 3D visualization system of building resource information. It is a prototype of a digital twin. It will combine of 3D building information modeling (BIM), geographic information (GIS), sensor and IoT connection, artificial intelligence (AI) and management (Web portal). Together, it creates an operation between actual data and virtual data. This research is the work of BIM, integrate with GIS, and brings the information to the preliminary website. To account for the connection steps in detail and to serve as a model for further development of building physical data management.