Descripción del proyecto
Nuevos sensores para mantener una buena calidad del agua
La industria alimentaria destaca por las enormes cantidades de agua que consume. Por ejemplo, las tareas de lavado en el sector de las frutas y hortalizas representan el 50 % del agua utilizada. Si bien optimizar el consumo de agua es fundamental, garantizar la calidad del agua empleada para lavar y procesar los productos alimentarios es igualmente importante. El proyecto financiado con fondos europeos FOODWATERH2020 está desarrollando una herramienta compacta y totalmente automatizada para supervisar la calidad de agua y proteger así a los consumidores frente a bacterias nocivas como la E. coli, la salmonela y la listeria. Utiliza sensores especiales combinados con un «software» integrado de inteligencia artificial basado en tecnología de aprendizaje profundo. Esta tecnología no solo permitirá recuperar hasta el 99 % del agua empleada en el procesamiento de alimentos, sino que también permitirá eliminar hasta el 99 % de los contaminantes del agua.
Objetivo
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.
Ámbito científico
- 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
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-SMEInst-2018-2020-1
Régimen de financiación
SME-1 - SME instrument phase 1Coordinador
4454 AC BORSSELE
Países Bajos
Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención.