How Machine Learning Supports Pipe Monitoring And Asset Management

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