The project is implemented with 3 main goals:
- Develop and deploy the installation of smart sensors to measure and analyze vibration characteristics to monitor the health of large bridge structures.
- Build a program (toolbox) to analyze big data using AI (Artificial intelligence) and stochastic system identification, automatically identify and obtain structural vibration characteristics.
- Build a digital twin model to monitor the structural health of key large-span bridges in the transportation system.
Main contents of the project
- Conduct laboratory and field experiments, especially focusing on smart sensor devices to collect data reflecting the behavior of building structures and renewable energy capture.
- Build a digital twin model that can reflect the states and characteristics of real structures that change over time.
- Collect and process data sets obtained from smart sensors.
- Research and build artificial intelligence models combined with established digital twin to analyze large data sets obtained from sensors, health monitoring, and construction damage detection.
- Building a synchronous health monitoring system for key transportation projects in Vietnam.
Project impact
Technology using smart sensors consumes little energy, reduces costs, and is environmentally friendly.
- Smart sensors can obtain large amounts of data during structural health monitoring, thereby accurately reflecting the structural status and condition. Enhance the accuracy of bridge inspection results.
- Does not obstruct the circulation of vehicles on and under the bridge (no need to stop traffic like traditional inspection methods).
- There is no cost for hiring workers to install bridge inspection equipment (beams or conductor equipment…) and no cost for hiring workers to ensure traffic during the bridge inspection process.
- Reduce construction maintenance costs and bridge incidents to the lowest level. The proposed technology uses permanently installed sensors, the data collected is real-time data combined with artificial intelligence that can analyze and identify occurring problems with bridge construction quickly and accurately.
