Wireless and self-sufficient corrosion sensor
Harvests energy from the surroundings
The CorroSense technology is revolutionary in the maintenance of infrastructure such as bridges and tunnels, as it is self-sufficient in energy. This ground-breaking sensor harvests energy from the environment in which it is installed by exploiting chemical reactions in the materials or via piezoelectric effects from structural vibrations. This ensures that the sensor can function independently of external power sources and continuously monitor corrosion without the need for manual intervention.
Wireless data transfer
Manual data collection has traditionally required physical presence and thus been both time-consuming and expensive. CorroSense transmits data wirelessly to an associated box and eliminates the need for expensive - and thus often too sparse - manual readings. With wireless technology, monitoring data can now be read more frequently and more efficiently, promoting a proactive maintenance strategy.
Retrofit on Existing Constructions
The CorroSense technology is designed to be retrofitted to existing constructions. This opens up the opportunity to upgrade older infrastructures with advanced sensor technology without the extensive costs and logistical challenges that would normally be associated with such an upgrade. The sensors can be installed quickly and without major intervention in the existing structure.
Cable-free installation on the Great Belt Bridge
One of the significant advantages of CorroSense is the possibility to reduce the use of cables in large infrastructure projects, such as the Great Belt Bridge. The sensors can save 20 to 25 kilometers of cable by using wireless technology, which not only reduces costs, but also reduces the environmental impact and the physical load on the structure.
Easy Access to Data and Analyses
Finally, CorroSense supports easy and direct access to data and analysis via its cloud platform. This platform allows users to gain real-time insight into corrosion data and other vital parameters from any location. Integrated with artificial intelligence and machine learning, the platform improves decision-making by offering predictive maintenance recommendations that can extend the life of critical infrastructures.
