CHIRPTECH
Preparing enterprise AI, IoT and software engineering solutions.
Preparing enterprise AI, IoT and software engineering solutions.
How we deployed an acoustic sensor network and an AI-driven dashboard to identify pipeline anomalies before catastrophic failure, saving millions of gallons of water annually.
Client
Metropolitan Water District
Timeline
8 Months
Core Tech
LoRaWAN, Edge AI, React
Impact
2M Gal Saved/yr

The city's aging water infrastructure was prone to frequent, undetectable micro-leaks that often escalated into major pipe bursts. This resulted in significant water loss, expensive emergency repairs, and disruption to citizens. The municipality needed a proactive, city-wide monitoring system capable of detecting acoustic anomalies in real-time across hundreds of miles of underground pipelines.
"We were constantly reacting to pipe bursts rather than preventing them. Chirp Tech's IoT solution gave us the 'x-ray vision' we needed to see underground anomalies before they became surface-level disasters."
— Director of Infrastructure, Metro Water
Chirp Tech designed a comprehensive IoT architecture utilizing custom acoustic sensors deployed directly onto the pipeline valves. These battery-operated edge devices use AI to filter out background city noise and isolate the specific frequencies of water escaping under pressure, transmitting alerts via a low-power LoRaWAN network.
Within the first six months of deployment, the system identified over 40 critical vulnerabilities that were repaired proactively. The municipality realized an immediate ROI through reduced water loss and the elimination of several high-cost emergency excavation projects.
2M
Gallons Saved Annually
99.2%
Detection Accuracy
40+
Major Bursts Prevented
Let's discuss how our IoT engineering team can modernize your operations.
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