Posted on - June 14, 2022

Project
Vitens – Leak Detection System

For the water company Vitens, we developed a leak detection system consisting of wireless sensors so that they can detect and prevent leakages faster and remotely.

The project

Vitens is the largest drinking water company in the Netherlands and supplies drinking water through a distribution network to more than 5 million people and companies. Vitens was looking for a solution to avoid time-consuming and expensive searches for leaks. With our smart leak detection system, they can proactively inform their customers about work being done and prevent downtime.

The problem

Searching for leaks is time-consuming and major damages are expensive to repair. Moreover, leaks lead to outages. Without insights into leaks, customers cannot be informed about these outages on time. These problems led Vitens to ask EVALAN to develop and implement a leak detection system that would allow them to detect and resolve faults more quickly and save costs. 

The solution

We developed an IoT solution that measures vibrations in water pipelines remotely and wirelessly. The system measures vibrations, pressure, force, and flow rate. This provides real time insights into the condition of the water pipelines. Vitens can now save costs by detecting and repairing failures faster and by predicting and preventing them. With the accelerometer we measure vibrations on the spindles of the valves of the water pipe. They recognize a normal pattern of the water flow and therefore can immediately detect deviations by means of the vibrations on these spindles. When a deviation is detected, an alarm is sent to Vitens. 

The key benefits

  • Accurate monitoring of waterflow and vibrations in pipelines. 
  • Deviations are visible at an early stage and result in immediate action. 
  • Preventing outages and expensive repairs caused by major damage to pipelines.
Vitens
Leak detection

More information

Real-time measurement data 

The vibration measurements provide extensive real time insight into: 

  • The condition of the flows through the pipelines. 
  • Disruptions in the flows at an early stage. 
  • Potential problems in pipelines. 
  • Deviations and their location. 

All measurement data is sent wirelessly to a central platform after which the information is instantly presented on a dashboard. 

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