Transforming dumb pipelines into a responsive smart grid

JalRakshak AI combines digital twin technology with decision support systems to reduce water losses and optimize urban distribution networks.

The Challenge

Up to 40% NRW loss

Manual scheduling inefficiency

Reactive maintenance costs

Our Solution

JalRakshak AI is a comprehensive Digital Twin and Decision Support System (DSS) that combines real-time sensor data, predictive analytics, and optimization algorithms to transform water distribution networks.

  • ✓Real-time monitoring of pressure, flow, and temperature
  • ✓AI-powered anomaly detection for leakage identification
  • ✓Smart allocation engine for optimal resource distribution
  • ✓Citizen engagement platform for collaborative management
Key Technology Stack

Data Acquisition

IoT sensors for real-time monitoring

Analytics Engine

Machine learning for anomaly detection

Optimization Algorithm

Smart allocation & pressure management

Visualization Platform

GIS-based authority dashboard

Core Features

Demand Forecasting
AI-powered prediction of water demand patterns across zones
Leakage Detection
Automated anomaly detection in pipe networks using sensor data
Smart Allocation Engine
Optimized water distribution with valve & pump recommendations
GIS Dashboard
Real-time visualization of network health and pressure zones
Citizen Reporting
Engage citizens in leak detection and water conservation
Decision Support System
Data-driven insights for authority operations & maintenance

Expected Impact

By implementing JalRakshak AI, water authorities can achieve significant operational improvements

20%+

Reduce NRW Loss

Non-Revenue Water reduction through leak detection

30%

Cost Savings

Operational efficiency from smart scheduling

24/7

Monitoring

Real-time system oversight and alert management