Taking Qianguan Bridge in Dalian as the project background, the structural characteristics and stress conditions of the lower-supported steel pipe concrete tied arch bridge were analyzed. A health monitoring system scheme for the bridge was designed. The architecture design of the system and the types of sensors used for its main monitoring content were introduced. Finite element analysis of the bridge was conducted based on Midas Civil, and the measurement point layout of the bridge monitoring system was determined in accordance with relevant standards. Considering the strong subjectivity and poor overall nature of traditional manual inspections, which consume a lot of manpower, material resources, and financial resources on-site and even affect traffic operations, an intelligent bridge health monitoring platform was developed in the cloud based on BIM(building information modeling). This platform integrates real-time on-site data collection, stable and efficient transmission, rapid analysis of massive data, human-computer interaction, and visualization of models and data. It automatically triggers alerts and notifies relevant personnel through various means, achieving early detection, early warning, and early handling, providing strong support for the ultimate realization of smart bridge management and maintenance.