Automated Dam Water Level Monitoring with AIoT, Radar Sensors and Early Warning Alerts

State Water Resources Department

State Water Resources Department

UN SDG 13 - Climate Action

UN SDG 13 - Climate Action

South India

South India

Pain Points

Manual readings and limited alerts caused data gaps, delayed response and dam safety risks.

Manual Water Level Recording

Manual Water Level Recording

Manual measurements caused reporting delays, data errors and safety risks during field inspections.

No Real-Time Dam Visibility

No Real-Time Dam Visibility

Lack of continuous monitoring limited timely flood assessment, release planning and response.

Limited Early Warning Alerts

Limited Early Warning Alerts

Without automated alerts, teams had less time to respond to sudden inflow and extreme weather.

Our Offerings

Deployed an AIoT-based AWLR system for real-time dam monitoring, analytics and early alerts.

Integrated AIoT AWLR Device
A solar-powered unit with embedded radar sensing continuously tracked dam water levels.

Multi-Network Connectivity
Cellular, Ethernet, WiFi and LoRaWAN supported reliable data transmission across varied terrains.

thingZmate® AIoT Platform
A centralized platform enabled role-based monitoring of multiple dams, reservoirs and alerts.

Early Warning Alert System
Configurable mobile alerts notified teams when water levels crossed defined safety thresholds.

A solar-powered unit with embedded radar sensing continuously tracked dam water levels.

Cellular, Ethernet, WiFi and LoRaWAN supported reliable data transmission across varied terrains.

A centralized platform enabled role-based monitoring of multiple dams, reservoirs and alerts.

Configurable mobile alerts notified teams when water levels crossed defined safety thresholds.
Our Deployment
Our Deployment Our Deployment Our Deployment

Outcomes

Improved Dam Safety

Improved Dam Safety

Continuous monitoring enabled faster response during high inflow and emergency conditions.

Higher Operational Efficiency

Higher Operational Efficiency

Automation replaced manual readings and streamlined reporting, inspections and compliance tasks.

Reliable Data Availability

Reliable Data Availability

Offline data logging preserved water-level records during temporary network interruptions.

Data-Driven Water Decisions

Data-Driven Water Decisions

Historical trends and analytics supported audits, planning and predictive water management.

Right Quote Real-time monitoring and alerts significantly improved dam safety and operational readiness.

Left Quote

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