The Water Leakage Analytics solution from Greenojo leverages AI and ML models to accurately detect leaks in water supply networks using Azure IoT Hub. It provides real-time monitoring and anomaly detection, generating alerts for operators to take appropriate actions.
Overview
Business Challenge
Water utilities face significant challenges in detecting and addressing leaks in their supply networks. Traditional methods are often slow and inefficient, leading to water loss and increased operational costs.
Business Objective
The primary goal of Water Leakage Analytics is to enhance the efficiency and effectiveness of leak detection and response in water supply networks. By providing real-time insights and alerts, it aims to reduce water loss and operational costs.
Solution
Water Leakage Analytics integrates several advanced technologies and features:
- Real-Time Monitoring: Monitors current water flow and detects anomalies in near real time.
- AI/ML Models: Uses Artificial Neural Networks (ANN) and Autoencoder Neural Networks (AE) for accurate leak detection.
- Alerts and Insights: Generates alerts in the operator’s app with actionable insights.
Business Value
Implementing Water Leakage Analytics leads to several benefits:
- Reduced Water Loss: Early detection and response to leaks can significantly reduce water loss.
- Cost Savings: Efficient leak management can lead to significant cost savings in water supply operations.
- Operational Efficiency: Real-time monitoring and alerts improve the overall efficiency of water supply management.
