Acoustic leak detection using IoT sensors is a cost-effective solution to detect emerging leaks in water distribution networks. The acoustic system identifies and pinpoints leakage events with high sensitivity, but it also detects non-leakage events which may overload the utility with data. In collaboration with the University of Waterloo, and supported by the Southern Ontario Water Consortium, an Echologics team used machine-learning techniques to narrow reported events to only the most relevant data visible to the water utility.
In this 1-hour live webinar on Thursday, September 23rd at 1 p.m. EDT, we will share with you:
- a machine-learning solution to this data challenge
- case studies demonstrating the effectiveness of this technique
- How a managed leak-detection service enables water utilities to be proactive, deliver better service, prevent catastrophic events, and lower their energy footprint and operating cost