ADAM - Advanced Datadriven Modeling in Water Loss Management

Project: Research project

Description

Development of a practical and organizationally feasible, as well
Energy-efficient and cost-saving solution for pressure measurement including data transmission in the drinking water network.
Development of data-based methods for leak detection and limitation in (near) real-time based on pressure and flow measurements using machine learning approaches.
Use of information from permanently installed pressure and flow measurements for detailed calibration of hydraulic models in the selected pilot area. Comparison of model based and data driven Methods for leakdetection and localisation
StatusActive
Effective start/end date3/04/1831/12/20