Bridges serve as connectors for various transportation routes, playing a pivotal role in facilitating socio-economic activities. To enhance the effectiveness of disaster prevention in Taiwan, the National Center for Research on Earthquake Engineering (NCREE) has adopted novel concepts and technologies to deploy innovative seismic monitoring systems across areas of Taiwan where there are many bridges. A digital twin model of bridges has been constructed by integrating data science analysis technologies, such as big data and artificial intelligence. This model simulates the dynamic behavior of bridges during earthquakes, identifying critical monitoring points for precise surveillance. The "Taiwan Structural Monitoring Data Hub (TSMOD)" web service platform provides a visual query interface. This serves as a reference for post-earthquake damage assessment and disaster response by the NCREE, as well as for relaying information to the public. The innovative seismic monitoring system for bridges continuously monitors and assesses intense motions. Following the announcement of a significant, perceptible earthquake by the Meteorological Bureau, the system can automatically generate a monitoring report within 10 minutes. This report encompasses earthquake event information, monitoring system data, maximum acceleration, time history charts, and spectrum charts. It serves as a reference for bridge maintenance organizations to assess earthquake-induced damage, facilitating the implementation of emergency response measures to ensure the safety of road users.