References

Case Study

Smart Drinking Water Network Management

Description

Veolia Water Site

Veolia manages the production and distribution of water on behalf of a town 45 km southwest of Paris, serving 25,000 residents. To ensure the quality of the drinking water network and help protect consumer health and safety, especially sensitive consumers (schools, kindergartens, hospitals and industrials), Veolia proposed monitoring networks solutions to the municipalities to ensure water quality control and avoid risk of contamination.

Installation of 32 KAPTA™ 3000-AC4 in-line multi-parameter water sensor probes in a Provincial city in the heart of the Ile-de-France region.

The Solution from ENDETEC™ for Veolia

Veolia Water Site

ENDETEC™, the global sensor platform of the Group has developed innovative tools and services to enhance drinking water network management capabilities with a key product: KAPTA™ 3000-AC4 probe.

This solution is the result of the installation of 32 probes in total; one probe every 3 km: 16 probes to control water quality in the network made of cast iron pipes and PE (63 mm<DN<250 mm) and 16 probes to ensure consumer protection and monitoring of sensitive areas (upstream connection). 

Methodology of Detection and Analysis

Veolia Eau Site


Using historical data measured over a defined period, it is possible to develop a profile of normal operation reference called the'envelope'. If one parameter measured is statically outside of the envelope, an alarm is triggered. The operator can then check the origin of where the event occurred in the targeted geographical zone.



When an alarm is triggered, the operator can:

> identify the area affected by an event in real-time, thanks to the cross-data measured by the probe

> measure the impact on the quality of the water supply and adjust if necessary the dosage of reagent or take other corrective actions

> start checks according to the profile of where the event occurred: reduction of chlorine in the network, change in conductivity...

> determine the risks: for example, if there is a sudden drop in system pressure, there is a possibility for a backflow in the network

> follow up real-time propagation of the event and confirm the time to return to normal operation