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Our solution leverages advanced digital twin technology to simulate millions of scenarios with randomized leaks, using industry-standard tools like EPANET or custom simulators. By analyzing hydraulics, pressures, and outflow data for each iteration, the system identifies potential leakage points and reconstructs network outputs from limited measurements.
Through intelligent sampling and learning, the solution minimizes the number of sensors required, providing precise recommendations for sensor placement to ensure maximum efficiency and coverage.
Uses existing valves in the network, and even suggests new sensor locations to increase confidence in detecting water leaks.
Lower cost compared to the standard DMA approach since no new valves are required. Some sensors may be needed based on recommendations for optimal sensor placement.
Depends on historical data, but the solution will continuously improve with new data.
SPaLD pinpoints leaks down to the pipe level.
SPaLD runs day and night, looking for anomalies and reporting down to an hourly basis.
Adapts to changing supply and demand conditions. It is future-proof with new AI models, holiday calendars, weather data, and sensor technologies (i.e., chemical, bacteria, etc.)
Obtains holistic insights across the entire network through AI learning from existing network supply patterns provided by flow and pressure sensors data.
Accuracy relies on availability of historical data and continuously improves with new data over time. Data resolution can be as low as every 15 minutes.
No new valve is needed - it will use existing valves in the network.
Success Story
Facing high NRW rates and stricter regulatory demands, A Large Scale Water Group in APAC adopted Beyond Limits’ AI-driven leak detection solution. Moving beyond traditional DMA methods, they achieved a high detection accuracy with optimized sensor placement. By reducing the number of required sensors, They not only saved on costs but also improved network up time, setting a benchmark for water management efficiency.
While many water utilities continue to rely on traditional methods, Beyond Limits provides a breakthrough, AI-driven approach that eliminates inefficiencies and minimizes costs.
Beyond Limits uses a digital twin of your water network to monitor and pinpoint leaks, prioritizing high-risk areas for targeted interventions. Leaks are identified and prioritized by risk level, enabling faster, more effective repairs.
Inspired by technology used in Caltech’s Event Horizon Telescope, our solution utilizes sensor data and AI models to determine optimal sensor placement locations, reducing the number of pressure sensors needed and maximizing detection efficiency.
With hybrid AI Algorithms, the system interprets vast amounts of sensor data, creating a detailed map of your distribution network. AI models simulate and identify optimal leak detection points, ensuring every part of the network is covered.
