AQUADVANCED®
Quality Monitoring

Developed by SUEZ thanks to a unique combination of operational expertise and technological innovation, AQUADVANCED® Quality Monitoring is a modular solution capable of detecting water quality anomalies in the distribution network.

AQUADVANCED® Quality Monitoring

is a fully integrated offer, from reliable measurement
of parameters to valuable operational indicators:

Water quality measurement

  • Certified insertion probes measuring up to 7 physicochemical parameters (chlorine, pH, conductivity, temperature, UV254, turbidity, TOC)
  • Sensors for continuous measurement of selected bacteria detected in the distribution network
  • A stand-alone power supply unit installed in the water network in case no connection is available

Integrated data platform

  • Real-time data collection, processing and visualisation in a SaaS application
  • Scalable and compatible with all SCADA systems on the market, with the possibility to integrate existing sensors

ADvanced data analysis

  • Dashboard with daily performance indicators and cartographic display (quality maps)
  • Event detection by machine learning algorithms (abnormal variations in water quality, overspeed, abnormal bacterial growth and coloration...)

A four-step approach

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2

3

4

Identification of potential risks
  • Preliminary study of the network configuration and the equipment in place, as well as assessment of the risks to be covered
  • Selection of the physicochemical parameters to be monitoredz
  • Identification of optimised placement points for sensor installation in addition to a hydraulic sectorisation project
Deployment of sensors in the field
  • Supply, installation and commissioning of selected equipment for monitoring parameters
  • Maintenance and support
Data collection and analysis in a single application
  • Real-time dashboard and water quality maps
  • Detection, qualification and localisation of abnormal events by mathematical modellingand machine learning
Continual improvement and transparency
  • Real-time dashboard and water quality maps
  • Detection, qualification and localisation of abnormal events by mathematical modellingand machine learning