AI for Leak Detection and Prevention

Find and prevent leaks with AI-driven analytics on pressure, flow, aco

Leak detection uses SCADA/IoT (pressure/flow), acoustics, satellite/imagery, and hydraulic context. AI improves detection speed/accuracy, prioritization, and prevention strategies with explainable alerts and safety-first controls.

Reduce NRW (Non-Revenue Water), prevent bursts, and shorten repair times while minimizing false alarms and avoiding service/quality risks.

Pressure/flow, acoustic sensors, DMA balances, satellite/imagery, work

Anomaly detection, acoustic classification, burst localization, risk scoring, forecasting. These techniques leverage sensor data to identify unusual patterns.

Dashboards, maps, alerts, crew dispatch cues, and SOPs (Standard Operating Procedures) provide a centralized view of the leak situation and guide response efforts.

live demo · related simulation● LIVE

Optimize dispatch based on severity and impact.

Implementation Blueprint: This outlines the steps for deploying the system, starting with rigorous sensor quality assurance, configuring Distributed Measurement Automation (DMA) systems, and establishing a thorough understanding of the hydraulic context.

Key Performance Indicators (KPIs) such as precision/recall, response time, and NRW are used to measure the effectiveness of the leak detection program. Strong governance ensures responsible data usage.

Frequently asked questions

What do conservative controls; manual override; clear SOPs refer to?

Conservative controls; manual override; and clear Standard Operating Procedures (SOPs) provide a safety net, allowing operators to intervene if the AI system's alerts are incorrect or require human judgment.

What is meant by Reporting to regulators; audit logs; data policies?

Reporting to regulators ensures compliance with relevant industry standards. Maintaining detailed audit logs and adhering to robust data policies provides a traceable record of all system activities, crucial for accountability.

What is meant by Explain alerts and evidence; versioned models?

Explainable alerts provide clear reasoning behind the AI’s decisions, building trust and allowing operators to understand why a leak was flagged. Versioned models track changes to the AI system, ensuring transparency and reproducibility.

What do Fallback rules, redundancy, rollback plans refer to?

Fallback rules automatically switch to alternative detection methods if the primary system fails. Redundancy ensures continuous operation, while rollback plans allow for quick recovery from system errors.

▶ Try it live

Everything above runs in your browser — open Hash Function Avalanche Visualizer and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open Hash Function Avalanche Visualizer simulation