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
Simple User Interface
Keep your critical infrastructure in top condition with AVANT’s IoT-based asset management solution. Our platform provides real-time data on asset integrity, predictive maintenance, and automated alerts, helping you monitor and protect essential infrastructure, even in difficult-to-reach areas.
Unified Monitoring of Infrastructure Sensors
Track the integrity of roads, bridges, powerlines, and other assets in one user-friendly platform, ensuring proactive management.
Real-Time Data and Predictive Maintenance
Leverage live data and AI-driven analytics to detect early warning signs and plan maintenance before issues become critical.
Automated Alerts for Structural Integrity
Receive instant alerts for leaning poles, vibrations, or cracks, enabling faster intervention to prevent costly damage.
Remote Monitoring for Hard-to-Reach Assets
Monitor infrastructure remotely using IoT sensors and drones, ensuring full coverage even in isolated or hard-to-access locations.
Infrastructure plays a vital role in daily life, and the failure of key assets such as roads, bridges, or powerlines can cause severe disruptions and expensive repairs. AVANT’s IoT sensor platform is designed to provide real-time monitoring of critical infrastructure, giving asset managers the data they need to ensure proactive maintenance, rapid response to issues, and long-term asset protection. Below, we explain the key components of our asset management system and how each feature supports your infrastructure needs. 1. Accelerometers for Structural Monitoring One of the most critical sensors used in AVANT’s asset management system is the accelerometer, which detects vibrations and stress in infrastructure like roads, bridges, and powerlines. Accelerometers provide real-time data on the structural integrity of these key assets, detecting potential issues early, such as increased vibrations caused by weakening structural components. The accelerometer data is transmitted continuously to AVANT’s cloud platform, where it is analysed for abnormal patterns. If the system detects excessive vibration, which could indicate structural fatigue or damage, it triggers an alert, allowing maintenance crews to respond quickly. This early detection system helps prevent catastrophic failures and extends the lifespan of your infrastructure. Benefits of Accelerometer Monitoring: Real-time detection of stress and vibrations in infrastructure. Early warnings for potential structural failures. Reduces the risk of sudden, costly breakdowns. 2. Tilt Sensors for Leaning Infrastructure In addition to accelerometers, AVANT uses tilt sensors to monitor infrastructure such as poles, trees, and other vertical structures. Tilt sensors detect when a structure begins to lean, which can be an early sign of failure, particularly after storms or in areas with unstable ground. Tilt sensors are particularly important for monitoring powerlines, as leaning poles or trees can cause significant damage if they fall. By detecting these shifts early, AVANT’s system can send alerts to maintenance teams, allowing them to correct the issue before it leads to service interruptions or infrastructure damage. Advantages of Tilt Sensor Monitoring: Detects leaning poles, trees, or other structures. Crucial for preventing powerline damage or road obstructions. Enables timely intervention before severe damage occurs. 3. AI-Driven Predictive Maintenance AVANT leverages advanced AI algorithms to analyse the data collected from IoT sensors, providing predictive maintenance capabilities that help infrastructure managers stay ahead of potential failures. By assessing patterns in sensor data, such as increased vibrations or tilting trends, the AI can predict when a structure is likely to require maintenance. Predictive maintenance reduces the need for emergency repairs, which are often more expensive and disruptive. Instead, maintenance can be scheduled in advance, ensuring that infrastructure remains in good condition and preventing larger issues down the road. This proactive approach to asset management helps extend the lifespan of critical infrastructure while reducing overall maintenance costs. Key Benefits of Predictive Maintenance: Reduces repair costs by preventing emergency breakdowns. Increases the lifespan of infrastructure through early intervention. Optimises maintenance schedules for greater efficiency. 4. Real-Time Alerts for Immediate Action When infrastructure is at risk, fast action is essential. AVANT’s platform sends real-time alerts to maintenance teams whenever sensors detect abnormal conditions, such as vibrations, leaning, or cracking in roads and bridges. These alerts are delivered via SMS, email, or push notifications, ensuring that operators are always informed and can respond promptly. By enabling faster intervention, AVANT’s alert system helps prevent small issues from becoming major disruptions. Whether it’s fixing a crack in a bridge or stabilising a leaning power pole, real-time alerts enable maintenance teams to address problems quickly, keeping infrastructure safe and operational. Features of Real-Time Alerts: Instant notifications for critical infrastructure issues. Multi-channel alerts through SMS, email, or app notifications. Helps prevent major disruptions by enabling rapid intervention. 5. Drone-Assisted Visual Inspections Some assets, such as remote bridges or powerlines, are difficult to inspect on foot due to their location or hazardous conditions. To overcome these challenges, AVANT integrates drone technology into its asset management system. Drones equipped with cameras can fly over these assets and provide real-time visual inspections, allowing teams to assess the condition of infrastructure safely and efficiently. Drone data is combined with sensor data to create a comprehensive view of the asset's condition. This approach is particularly useful after events like storms, where quick visual inspections can identify damage and help prioritise repairs. Benefits of Drone-Assisted Inspections: Provides access to hard-to-reach or hazardous assets. Real-time visual inspections for faster decision-making. Reduces the need for human intervention in dangerous areas. 6. Cloud-Based Data Analysis and Reporting All data collected from AVANT’s IoT sensors is stored and analysed on a centralised cloud platform, giving asset managers easy access to both real-time and historical data. This cloud-based system allows for detailed data visualisation, helping managers track the performance of assets over time, identify trends, and make informed decisions. With comprehensive dashboards that display key performance metrics, maintenance teams can easily monitor the health of critical infrastructure, plan future maintenance, and optimise asset performance. Cloud-based data storage also facilitates collaboration between teams, ensuring that all stakeholders have access to the information they need. Advantages of Cloud-Based Data Analysis: Centralised access to real-time and historical data. Visualisation of trends and asset health over time. Supports better decision-making and long-term planning.