Descrizione del progetto
Nuovi sensori per mantenere una buona qualità dell’acqua
L’industria alimentare è nota per il consumo di ingenti quantità d’acqua. Ad esempio, l’acqua destinata al lavaggio nel settore ortofrutticolo costituisce il 50 % dell’utilizzo. Se da un lato è fondamentale ottimizzare il consumo idrico, è altrettanto importante garantire la qualità dell’acqua utilizzata per lavare e trattare i prodotti alimentari. Il progetto FOODWATERH2020, finanziato dall’UE, sta sviluppando una soluzione compatta completamente automatizzata per monitorare la qualità dell’acqua al fine di proteggere i consumatori da batteri nocivi quali E. coli, salmonella e listeria. La soluzione si avvale di particolari sensori abbinati a un software integrato di intelligenza artificiale, basato sulla tecnologia di apprendimento profondo, che non solo consentirà di recuperare fino al 99 % dell’acqua per i processi alimentari, ma eliminerà anche fino al 99 % degli agenti inquinanti in essa contenuti.
Obiettivo
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.
Campo scientifico
- 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
Programma(i)
Argomento(i)
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-SMEInst-2018-2020-1
Meccanismo di finanziamento
SME-1 - SME instrument phase 1Coordinatore
4454 AC BORSSELE
Paesi Bassi
L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione.