Politecnico di Torino - Corso Duca degli Abruzzi, 24 - 10129 Torino, ITALY

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Method for controlling aqueducts

water controlwater managementwaterworks


Hydraulic and water quality integrity of water distribution systems is best evaluated by using a smart water network. By combining a constant stream of data by several monitoring systems with predictive modelling capabilities, the invention provides robust trihalomethanes estimates in each point of the aqueduct and over time in order to proactively manage the drinking water quality integrity.

Technical features

The invention is a software system based on: (1) multi-sensor probes networks (including fixed probes and mobile (human sensors) for gathering continuous and distributed quality/quantitative measurements along the aqueduct (2) a hydraulic and water quality multi-models platform for providing chlorine and THMs concentration estimates over given time intervals and in each point of the aqueduct, (3) a GIS-based console for visualizing and analysing water quality simulations along the aqueduct and over time. It provides robust near real time or predictive water quality estimates by integrating (1) models’ calibration procedures, (2) optimal (mobile and fixed) sensors placement algorithms, (3) (gathered-) data assimilation procedures.


Possible Applications

  • Development of smart drinking water networks;
  • Optimization of hydraulic and water quality integrity management in water distribution systems; a continuos control of Disinfection By Products concentration along water systems.



  • Continuous, dynamic and distributed control of the chlorine and trihalomethanes concentrations in drinking water networks;
  • Providing more robust water quality (i.e. chlorine and THMs concentrations) estimates along the entire aqueduct and over time by using distributed sensing systems and advanced analytics, GIS, network modeling and optimization tools;
  • Providing the utility operators with a effective set of analytical capabilities for identifying, monitoring, and tracking contaminants (chlorine and THMs) along the network and responding decisively to critical events as they occur.