Cross-Domain SignalsSmart water / gas / energy audit / predictive maintenance
Pipeline Leak Acoustic Detection
01
Pain Points
- !Gas/water/compressed-air pipeline leaks emit ultrasound (20–40 kHz) inaudible to the human ear.
- !Long-term monitoring must auto-identify anomalies above the baseline and alert — too much for manual watching.
- !Leak-intensity trends lack a continuous record.
02
The Tinia Approach
Ultrasonic band-pass + energy level + baseline modeling + Z-Score deviation alerting — anomaly-detection operators applied to pipeline security, rerun automatically over the long term.
Ultrasonic band-passEnergy levelBaseline modelingZ-Score alerting
03
Nodes Used
IIR Filteriir_filter
20–40 kHz ultrasonic band-passSound Level Meterlevel_meter
Energy levelBaseline Statisticsbaseline_stats
Model the normal-state distributionZ-Score Anomaly Detectionzscore_anomaly
Baseline-deviation alertingCore nodes; add or remove steps as needed for your data and standards — the node graph is always editable.
04
Expected Output
- Intensity trend relative to baseline (dB above baseline).
- An anomaly-event list with alerts.
- A monitoring workflow that reruns automatically over the long term.
Reference Standards / Engineering PracticeIndustry practice (ultrasonic leak-detection framework)
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