Asset Management
IoT Sensors
Proactive monitoring of key infrastructure
IoT sensors providing real-time data on asset integrity
AI-driven predictive maintenance to reduce repair costs
Automated alerts for faster intervention and repairs
Remote monitoring of difficult-to-reach assets
Cloud-based data analysis for better decision-making
IoT accelerometers are installed on roads, bridges, and powerlines to detect vibrations and stress. These sensors provide real-time data on the structural integrity of key infrastructure, allowing for early detection of potential issues.
Accelerometers for Structural Monitoring
Tilt sensors monitor poles, trees, and other structures, detecting when they begin to lean. This is crucial for preventing damage to powerlines or roads caused by falling trees or poles, particularly after storms.
Tilt Sensors for Leaning Infrastructure
AI software analyses data collected from sensors to predict when infrastructure is likely to fail. This predictive maintenance approach allows managers to schedule repairs in advance, reducing downtime and avoiding the higher costs associated with emergency repairs.
AI Predictive Maintenance
Automated alerts are generated when sensors detect issues like leaning poles or cracks in bridges. These alerts are sent directly to maintenance crews, allowing for a quick response before the damage escalates.
Real-Time Alerts for Maintenance Crews
Drones equipped with cameras provide aerial inspections of infrastructure, helping teams assess areas that are difficult to access. Combined with IoT sensor data, this offers a comprehensive approach to asset management.
Drone-Assisted Visual Inspections
All sensor data is stored and analysed on cloud platforms, providing asset managers with comprehensive dashboards to track the health of key infrastructure. This data-driven approach improves decision-making and long-term planning for asset maintenance.
Cloud-Based Asset Monitoring
Effective Management of Critical Asset Infrastructure with IoT Devices
