TOKYO, Jun 12 (Pulse News Wire) – Hmcomm Inc. (265A.T) confirmed the effectiveness of its advanced leak detection model during tests in Shugaya City.
The system combines wide-area monitoring using pipe and environmental data with ground-based AI acoustic analysis to pinpoint leaks accurately. Key findings included high precision in identifying areas with high leakage risk and distinguishing between leaking and non-leaking pipes based on sound analysis.
The model achieved approximately 81% classification accuracy against past data and around 92% accuracy with local measurement data. Based on these results, Hmcomm plans to expand its next-generation leak monitoring infrastructure, shifting from reactive inspection to proactive prevention.
The approach involves transitioning from scheduled inspections based on installation age to condition-based maintenance using high-precision AI and IoT technologies.
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