Research on the Application and Prospect Analysis of Digital Twins in the Full Life Cycle Management of Medical Buildings

Currently, China is further advancing the construction of new-type infrastructure and the digital transformation of the construction industry. As a key enabling technology, Digital Twin has provided a new approach for the construction sector. Characterized by high safety requirements, high operational continuity, and high complexity, medical buildings are plagued with pain points in engineering management, such as frequent design changes, poor construction collaboration, disconnection between different construction phases, and low management and control efficiency. Against this backdrop, this paper establishes a Digital Twin framework integrating BIM, IoT, HIS, and BAS, and realizes closed-loop full-life-cycle management of medical buildings via unified semantics and spatio-temporal indexing. In the pilot hospital project, virtual prototypes and simulations adopted in the design phase cut the number of design revisions from 5 to 2 and shortened the design cycle by 30%. In the construction phase, the combination of 4D progress management and on-site perception reduced the schedule deviation rate from 8% to 3%. During the operation and maintenance phase, with fault diagnosis and strategy engine technologies, the fault response time was shortened from 2 hours to 30 minutes, annual energy consumption was lowered by 12%, and the daily turnover rate of consulting rooms rose from 4.5 times to 6.0 times. Furthermore, this framework enables cross-phase knowledge transfer and parameter inheritance to support the continuous optimization of medical buildings. Its integration with artificial intelligence, edge computing, and other technologies can further extend its application to scenarios such as emergency deduction.