Objective
The overall objective of WADI project is to contribute to the reduction of losses in water transmission systems and decrease the related energy consumption required for the process.
WADI aims to develop an airborne water leak detection surveillance service to provide water utilities with adequate information on leaks in water infrastructure outside urban areas, thus enabling the utility to promptly repair them.
The project idea relies on innovative concept of coupling optical remote sensing and their application on two complementary aerial platforms, i.e. manned and unmanned, typically used for distinctive purposes in infrastructure performance observation. The former is being used in long-distance monitoring whereas the latter in ‘particular’ areas observation, i.e. those with a limited/difficult physical access or requiring closer monitoring upon earlier detection of some anomalies in aircraft missions. Following the determination of cameras’ optimized wavelengths (suitable particularly for water leaks detection), the WADI technology will be applied in an operational environment represented by two pilot sites, i.e. in France (Provence region, case of water supply mains) and Portugal (Alqueva, case of multi-purpose mains serving irrigation, water supply, and hydro power).
The WADI proposal addresses the challenge of building a water (and energy) efficient and climate change resilient society by integrating the concept of ecosystem services through the recovery of up to 50% of the water lost at a cost which is lower by an order of magnitude than the cost of terrestrial techniques – e.g. 50-200 EUR/km for airborne technology vs. 1,000-5,000 EUR/km for ground techniques.
The project includes legal aspects assessment (related to data protection and regulatory standards for use of UAV), market analysis and strategy along with the corresponding business plan and a dissemination plan that addresses key stakeholders.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- engineering and technologycivil engineeringwater engineeringirrigation
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringaircraft
- engineering and technologyenvironmental engineeringremote sensing
- engineering and technologycivil engineeringstructural engineeringhydraulic engineering
You need to log in or register to use this function
Keywords
Programme(s)
Funding Scheme
IA - Innovation actionCoordinator
1190 Bruxelles / Brussel
Belgium
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.