Internet of Things (IoT) can have a huge impact in engineering by leveraging state-of-the-art information and communication technologies (ICT). In practice, however, deploying IoT platforms to handle domain-specific engineering information along with sensor data of different types remains to be a challenging problem. To effectively support data sharing and interoperability and facilitate access by engineering tools, engineering modeling information and sensor data of different types need to be managed properly.

The goal of this research project is to develop a scalable cyber-physical system (CPS) framework for the integration of physical and computational systems for bridge lifecycle monitoring. Bridge monitoring involves several independent but isolated components. Sharing of information and software modules across different systems is limited. Information sharing and system integration would facilitate meaningful use of data, thereby enhancing bridge operation and maintenance and public safety.