Innovative Structural Health Monitoring
SGS and AIMSight announce ‘Industrial Internet of Things’ solution to tackle growing risk of catastrophic bridge failure.
Last year saw the collapse of the Morandi Bridge in Genoa which lead to significant loss of life and damage to the infrastructure. Across Europe there are 450,000 bridges, about 5% of which are estimated to be in need of critical repair. As a result, European asset owners in particular are rethinking their approach and are looking to modernise their structural health monitoring practices.
The bridge structural inspection regime in use today cannot meet the expected increased requirements of an ageing infrastructure under increasing strain. To tackle this problem, SGS has announced a partnership with AIMSight, which allows fully remote continuous structural health monitoring (SHM), using smart crack monitoring sensors and data analytics that is compliant with existing NDT standards.
Early warning system
The new SGS AIMSight structural health monitoring solution is an ‘Internet of Things’ system that provides continuous, real time monitoring of the health of critical assets to a higher level of precision than the standard SHM systems and the structural inspection schemes in use today. This serves as an early warning system, so asset owners can precisely anticipate and schedule on-site inspections and maintenance work and respond to defects before they have a serious impact on their operation or finances. SGS AIMSight is scalable, allowing it to be deployed on critical parts of the structure at first and extended as required.
Thomas Meyer, Global Innovation Manager, Industrial at SGS, said, “Bridges built for a different time are creaking under the strain of traffic densification and heavier vehicles; our new technology continuously monitors critical infrastructure which will help keep our road network working safely.”
Incorporates multiple data sources
Over and above the crack monitoring sensors, which are attached to the asset and collect specific data on defects, additional parameters are also captured, such as local temperature and acceleration, which enables root-cause analysis of the defects’ behaviour– which provides invaluable information to the engineers devising the right maintenance solution.
The data platform is extensible, and can handle and integrate all types of data, irrespective of the source, including past visual inspection reports, and can generate high-value analytics to be integrated into monitoring reports.
The solution is already being extensively tested in real world applications in Germany, Switzerland and the US.
SGS is the world's leading inspection, verification, testing and certification company. SGS is recognised as the global benchmark for quality and integrity.
With more than 97,000 employees, SGS operates a network of over 2,600 offices and laboratories around the world.