Objectives
The main objective: improvement in the efficiency of the sausage curing process by means of advanced data analytics and intelligent decision support systems. The aim of the project is to study, monitor, model and apply control strategies to optimise the drying of sausages, enabling a reduction in the curing times and standardising them so that product shrinkage is homogeneous. The ultimate objective: make progress in the improvement of the productivity, sustainability and internationalisation of cured meat product manufacturing companies.
Objectives
El objetivo principal: mejora de la eficiencia en el proceso de curación de embutidos mediante la
analítica avanzada de datos y sistemas inteligentes de soporte a la decisión. La finalidad del proyecto es
estudiar, monitorear, modelizar y aplicar estrategias de control para optimizar el secado de embutidos
permitiendo reducir los tiempos de curación y uniformizarlos para que las mermas en los productos sean
homogéneas.
El objetivo final: avanzar en la mejora de la productividad, sostenibilidad e internacionalización de las
empresas de fabricación de productos cárnicos curados.
Activities
The Embot-Its project aims to model the behaviour of drying rooms by using data from sensors. The installation of different types of sensors in different locations in the three-dimensional space of a drying room and the electronic identification of the cages will enable the behaviour of each drying room to be studied. The data collected by these new sensors will be stored using an architecture based on big data technologies designed to work with major volumes of data and also on real time analytics. The envisaged activities are:
1: Study the drying processes employed by the companies
2: Monitor the drying rooms
3: Integration, standardisation and storage
4: Analytics and decision-making
Activities
El proyecto Embot-Its pretende modelizar el comportamiento de secadores mediante
sensores. La instalación de sensores de diferente tipología en ubicaciones diferentes del espacio
tridimensional de un secadero y la identificación electrónica de jaulas, permitirá estudiar el
comportamiento de cada secadero. Los datos recogidos por estos sensores se almacenarán mediante una arquitectura basada en tecnologías Big Data y el análisis de los datos se hará en tiempo real. Las actividades
previstas son:
1: Estudio de los procesos de secado en las empresas
2: Monitorización de secaderos
3: Integración, estandarización y almacenamiento
4: Analítica y toma de decisiones
Contexte
Improved efficiency in the sausage curing process. Specifically, the aim of the proposed project is to study, monitor, model and apply control strategies to optimise sausage drying, enabling a reduction in the curing times and standardising them so that product shrinkage is homogeneous. The task force of this project is made up of two companies representative of the sector, Splendid Foods SAU and Patel SAU, in addition to the Catalan Association of Innovation in the Pig Meat Industry (INNOVACC) as the project coordinator, which will work together to identify options to improve the management of these resources. The project also includes the participation of the Eurecat Foundation, a centre that specialises in advanced data analytics and the creation of intelligent decision support systems and platforms, and the technology company Delsys, which specialises in the implementation of production process monitoring and management systems.
Project details
- Main funding source
- Rural development 2014-2020 for Operational Groups
- Rural Development Programme
- 2014ES06RDRP009 Spain - Rural Development Programme (Regional) - Cataluña
Emplacement
- Main geographical location
- Barcelona
€ 212000
Total budget
Total contributions from EAFRD, national co-financing, additional national financing and other financing.
Project keyword
Contacts
Project coordinator
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INNOVACC
Project coordinator