Inflow and Infiltration (I&I) Monitoring
IoT detection of leaks in stormwater and sewer systems
Real-time flow for identifying infiltration or blockages
Instant alerts for operators to reduce response time
Predictive maintenance to prevent costly damage
Cloud-based data platform
Remote monitoring for hard-to-access areas
Leak detection sensors installed in stormwater and sewer systems monitor moisture levels and water flow. These sensors detect abnormal levels of water ingress, helping to identify leaks or breaches in the infrastructure.
Leak Detection Sensors for Early Identification
IoT flow sensors continuously track water movement within the system. When blockages or unusual flow rates are detected, often a sign of stormwater infiltration - operators are alerted to take corrective action.
Flow Monitoring for Blockages and Infiltration
AI-driven analytics are applied to the data from flow and leak sensors to predict future maintenance needs. By identifying patterns in the system’s performance, the AI can recommend proactive repairs before more extensive damage occurs.
Predictive Maintenance Using AI
The system sends instant alerts to utility operators when it detects abnormal flow patterns or leaks, allowing teams to respond quickly. These alerts help to prevent major disruptions in stormwater and sewer systems by enabling rapid deployment of repair crews.
Real-Time Alerts for Immediate Action
LoRaWAN technology ensures that these IoT systems can monitor infrastructure in both urban and remote rural areas. With long-range, low-power connectivity, the system can operate efficiently, even in locations where traditional monitoring methods may be difficult or impossible.
Remote Monitoring in Urban and Rural Areas
All sensor data is transmitted to a centralised cloud platform where it is analysed and stored. This platform allows for easy access to historical and real-time data, enabling utility companies to better manage their assets, plan maintenance schedules, and optimise operations.