Description du projet
De nouveaux capteurs pour préserver la qualité de l’eau
L’industrie alimentaire est tristement célèbre pour les énormes volumes d’eau qu’elle consomme. Par exemple, le lavage dans le secteur des fruits et légumes représente 50% de l’utilisation d’eau. Optimiser la consommation d’eau est primordial, mais s’assurer de la qualité de l’eau utilisée pour le lavage et le traitement des produits alimentaires est tout aussi important. Le projet FOODWATERH2020, financé par l’UE, développe actuellement une solution compacte et entièrement automatisée pour surveiller la qualité de l’eau, afin de protéger les consommateurs des bactéries néfastes telles que E. coli, la salmonelle et la listériose. Elle utilise des capteurs spéciaux combinés à un logiciel d’intelligence artificielle incorporé, basé sur une technologie d’apprentissage profond. Cette solution permettra non seulement de récupérer jusqu’à 99 % de l’eau utilisée lors du traitement alimentaire, mais également de supprimer près de 99 % des contaminants présents dans l’eau.
Objectif
Every year in Europe, 3,6 Gm3 of fresh water is used for the food industry. This represent a cost of up to 14,5 G€/year considering both cost of fresh water and water disposal. Depending on the water quality used to wash and process food products, harmful bacteria (e.g. E.Coli Salmonella, Listeria) can be rapidly contaminate food and expose consumers to serious illnesses. On the other side, around 88 Mtons of food waste are generated annually in Europe with associated costs estimated at 143G€ and carbon footprint of 170Mt of CO2. Current solutions for water recycling are either using old technics such as settling ponds (80% of the market) or recycling industrial systems (20% of the market). They show several important inconvenient such as high ground footprint, low water recovery rate, low contaminant removal rate, high energy consumption, non-automatized system, etc. FOODWATERH2020 is the first fully automatized and compact solution which monitor constantly the water quality thanks to its highly precise multi sensors combined with an embodied IA software based on Deep Learning Technology which allow to: 1) recover up to 99% of food process water, 2) Reduce up to 10 times current costs of food process water (down to 0,40-0,80€/m3), 3) Remove up to 99% of water contaminant such as non-systemic pesticides (from food surface), pathogens, clay and sand, 4) provide a 100% reliability on food safety by always respecting food standards and eliminating food returns to our clients, 5) increase up to 54% the shelf life of food products, 6) Reduce by 30-35% the energy footprint compared to current compact solutions and 7) Reduce the ground footprint up to 20 times compare to ponding systems. VAM WaterTech B.V. (Nederland) is a well-established engineering SME founded in 1995 with an annual turnover of 5,9 M€ (in 2018 – forecasting 6,6M€ for 2019), 19,5 FTE employees and with an orderbook full until April 2020.
Champ scientifique
- engineering and technologyenvironmental engineeringwaste managementwaste treatment processesrecycling
- natural sciencescomputer and information sciencessoftware
- natural sciencesearth and related environmental scienceshydrology
- engineering and technologyother engineering and technologiesfood technologyfood safety
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
Programme(s)
Régime de financement
SME-1 - SME instrument phase 1Coordinateur
4454 AC BORSSELE
Pays-Bas
L’entreprise s’est définie comme une PME (petite et moyenne entreprise) au moment de la signature de la convention de subvention.