Automated Water Level Monitoring for Dams using AIoT, Radar Sensors, and Early Warning Alerts
State Water Resources Department
UN SDG 13 - Climate Action
South India
Pain Points
Manual water level measurement caused delays, data gaps, and limited early warning capability.
Manual Data Collection
Water levels were recorded manually, leading to errors, delayed reporting, and safety risks.
No Real-Time Visibility
Lack of continuous monitoring across dams limited proactive flood and release management.
Limited Early Warning
Absence of automated alerts increased risk during sudden inflow and extreme weather events.
Our Offerings
An integrated AIoT-based AWLR system enabled real-time monitoring, alerts, and analytics.
Integrated AIoT AWLR Device
Standalone solar-powered device with embedded radar sensor for continuous water level tracking.
Multi-Network Connectivity
Cellular, Ethernet, WiFi, and LoRaWAN ensured reliable data transmission in varied terrains.
thingZmate AIoT Platform
Centralized platform with role-based access for monitoring multiple dams and reservoirs.
Early Warning Alerts
Configurable threshold-based mobile alerts enabled timely decision-making and response.
Outcomes
Improved Dam Safety
Continuous monitoring reduced response time during high inflow and emergency situations.
Operational Efficiency
Automation eliminated manual readings and streamlined reporting and compliance processes.
Reliable Data Availability
Offline data logging ensured no data loss even during network outages.
Data-Driven Decisions
Historical data and analytics supported audits, planning, and predictive water management.
Real-time monitoring and alerts significantly improved dam safety and operational readiness.
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