BRIDGE.AI – Intelligent Wireless Structural Condition Monitoring
BRIDGE.AI is an advanced LoRaWAN sensor developed for condition monitoring of bridges, buildings, industrial structures, and temporary infrastructure. The device combines displacement, vibration, internal temperature, and battery-voltage monitoring, enabling operators to remotely observe structural behaviour and identify changes at an early stage.
Its integrated intelligent computational algorithm analyses vibration independently across the X, Y, and Z axes. BRIDGE.AI detects dominant vibration frequencies and amplitudes, impulsive events, and changes in high- and low-frequency vibration energy. These parameters can help reveal abnormal vibration behaviour, structural instability, mechanical looseness, changing dynamic loads, or progressive deformation. The highest diagnostic value is achieved when the measurements are evaluated together and trended over time.
Measurement data is transmitted through a LoRaWAN Internet of Things network. Measurement intervals and operating parameters can be configured remotely, allowing the system to be adapted to the monitored asset and its environment. Powered by two lithium D-cell batteries, BRIDGE.AI can operate for up to five years, depending on configuration and environmental conditions. Its robust IP67 enclosure, with IP68 available as an option, supports deployment in both indoor and outdoor applications.
Typical applications include bridges, viaducts, parking structures, scaffolding, construction sites, industrial platforms, machine frames, and heavy-duty mobile equipment. Wireless communication and long battery life make BRIDGE.AI particularly suitable for locations where wired monitoring systems would be difficult or costly to install.
BRIDGE.AI transforms structural monitoring into a continuous, data-driven process—supporting early change detection, improved operational visibility, and more effective maintenance planning.