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Sevilla (Spain), 25 September 2018
“Transforming industries: new technology innovation in the Agrofood Industry”
Health Sustainability Automation Digitalization challenges
“Transforming industries: new technology innovation in the Agrofood Industry”
EURECAT is the largest private Technology Centre in Catalonia working with Companies and other RDI agents on several fields:
• Functional and Healthy Food • Biological efficacy of ingredients • Food technology, food safety, toxicity studies • Food industry 4.0 • Circular economy and sustainability • Agrifood 4.0 • Valorisation and commercialisation Scientific areas: • Chemoinformatics, Health claims, Screening of new ingredients • In vitro and in vivo studies, clinical trials • Omic sciences • Agrifood & Food Industry 4.0, Smart Management Systems • By-products valorisation, water management, energy efficiency, filtration… • Smart Objects (IoT), Hyperconnectivity / Machine Testing Centre / Smart Data, Cybersecurity • Artificial vision, Virtual/augmented Reality • Industrial / autonomous / collaborative robotics • New materials, Corrosion, 3D printing • IP management, social media, big data, UX...
Multisector and multitechnology
Alternatives technologies to heat: electrical pulses, light pulses, modified
atmosphere, a combination of techniques.
Omic sciences
Stand 13
Advanced Filtration
Membranes
Energy micro-networks
Renewable energy technologies
Batteries
KPIs industrial production sustainability
CYBER-
SECURITYSENSORS
CYBER-
PHYSICAL
SYSTEMS
BIG DATA
ANALYTICS
AUGMENTED
REALITY
COLLABORATIVE
AND
AUTONOMOUS
ROBOTICS
ADDITIVE
MANUFACTURING
INDOOR
POSITIONINGWEARABLES
In-depth knowledge of industrial
processes (Pilot Plants)
+
Cyberphysical systems and IoT
+
High capacity in Big Data Analytics
+
Cybersecurity
Increased Productivity:
• Optimization of operations
• Quality increase: Near zero defects
• Training of personnel / Safety of operators
Reduction of operating costs:
• Optimization of energy consumption:
Intelligent management of resources
• Maintenance improvement: Predictive
maintenance
KPIs in the Factory of the Future
Roadmap I4.0
Differential know how of Eurecat
Advanced Manufacturing Systems
Research and development of Advanced Manufacturing Systems (AMS) addressed to innovative technologies, flexible manufacturing, high efficiency and high productivity for solving industrial problems.
Photonics Ultrasounds Microwaves Additive
Manufacturing New Machines & Technologies
Optical Sensors Microfluidic Devices Laser Sources
Microwave Induced Plasma Microwave Deposition Modelling Microwave Sintering of Metals
Incremental Sheet Forming Industrial Applications Engineering & Designing
Fused Filament Fabrication Selective Laser Sintering Digital Light Processing Ultrasonic Deposition Modelling
Ultrasonic Moulding Ultrasonic Deposition Modelling Ultrasonic Injection
PROJECTS
• Bots2ReC, ICT-24-2015 (CORDIS, WEB), Construction.
• LOGIMATIC, GALILEO-1-2015 (CORDIS, WEB), Logistics.
• SHAREWORK, FoF-02-2018, (Web Pending), Manufacturing
• MOVECARE, ICT-26-2016 (CORDIS, WEB), Healthcare.
• Aerial robot for Sewer Inspection, ECHORD++, FP7-ICT-2011 (CORDIS, WEB), Inspection and Maintenance
• GRAPE, ECHORD++, FP7-ICT-2011 (CORDIS, WEB), Agriculture
• Built2Spec, EeB-03-2014 (CORDIS, WEB), Construction
• Nature4Cities, SCC-03-2016 (CORDIS, WEB), Smart Cities
• ICARUS, FP7-SEC-2011 (CORDIS, WEB), Search and Rescue.
• I4MS, Manufacturing:
• Two experiments for BEinCPPS: PrezzNozz and Mo3Dlling
• Early stages of EuRoC project with the project MIRIAMM.
• SmartEEs, SMART Emerging Electronics Servicing DIH, ICT-04-2017 (CORDIS, WEB), Flexible Electronics.
PLATFORMS and NETWORKS of DIH related to the Catalan Robotics DIH.
• euRobotics AISBL, Autonomous Navigation Topic Group Coordinator
• EFFRA, European Factories of the Future Research Association
• Big Data Value Association, Leading an i-Space, the Big Data Centre Of Excellence of Barcelona and coordinating the i-Spaces Task Force in the
association.
• AIOTI, Alliance for Internet of Things Innovation
Infrastructure
Analytic Tools
Data Sets
Data Engineers & Scientists
Success Cases & Best Practices
Innovation & Demo Space
/AgriTech Big Data DIH Agro-analytical Platform
http://agritech-bigdata.com/en/home-en/ @Agritec_BigData
CORE: BASE ARCHITECTURE Animal Farm Predictive Management
• Convert big amounts of poor quality data to valuable information
• Hybrid IoT/Big Data architecture
• Platform independent
• Highly scalable and flexible (services, sources, technologies, ...)
• Assets, devices, persons, systems, integrated
• Operationally deployed in different sectors
• Predictive model to take decisions about future states based on current and historical data
Main features
Interoperability-Decentralisation-Virtualization-Real Time-Service Oriented-Modularity
The cava bottling process example
/ Process Monitoring
• Complete traceability of the product
• Flexible production and stock control adapted to customized demand
• Operational data monitoring for global decisions
• Predictive maintenance
• Ubiquitous management
Main features
To distributors
Tirage Ageing Riddling Disgorging
Addition of expedition liquor and
closure
From wine producers
PROCESSING 4.0
Powered by Stock
systems
The wine smart labels example / DISTRIBUTION 4.0: Product control & monitoring
• Label with sensors
• Data acquisition from Label through NFC and mobile app
• Client information through app sensors and user profile
• Whole product distribution reference
• Analysis of product characteristics in customers house
• Customer profiling
Main features
Smart Data Services
Powered by
Platform for product management and
distribution profiling
APP for data acquisition
Label with sensors and
NFC
Powered by
The fruit tree farm example / FARMING 4.0: Plant monitoring systems
• Hand tools and appliances as sensors
• Tractors as rough sampling agents
• Introduction of autonomous ground vehicles for specific sampling
• Whole crop production cycle management
• Ubiquitous management
• Integration through interoperability
Main features
/ FARMING 4.0: Plant monitoring systems The olive farm example
• Fields with sensors
• Hand tools and appliances as sensors
• Integration of external data: satellite, meteorological and social networks
• Whole crop production cycle management
• Ubiquitous management through smartphones
Main features
Powered by
Data from other sources
Task and resources
management applications
Pest control systems
Monitored Tools
RGB camera data
Satellite sensor data
Meteorological data and
forecastings
FARMING 4.0
Smart Data Services
Powered by
Farming and maintenance services for manufacturers
Farmer applications Tractor implements or
tools
Communication gateway
Integration with third party APIs
Connected implement systems
/ FARMING 4.0: Connected Tools Environment
• Connected appliances through interoperable interfaces (Isobus)
• Communication to Internet through wireless networks
• Platform for data analysis oriented to manufacturers
• Integration with farmer’s APS with interoperable APIs
Main features
www.ies-sim.com/
/ Simulation and learning tools for irrigation management
/ Automation and technology driven farming solutions
TECNIFICA!
APROFITA!RESISTEIX!
LISA
IoE-CROPS
SMARTFARM
LIPOXIFEED
BIOPACK
REGEVAFRUIT3CAT
Objective:
To connect in an interoperable manner tools and stakeholders in extensive farming in order to improve precision farming techniques
Challenges:
• Obtain value-added data to support the decision taking process
• Automated monitoring of farms and plantations
• Optimization of farming process
IOE Crops
DIH regional ecosystem Eurecat as Competence Center
Health Sustainability Automation Digitalization challenges
“Transforming industries: new technology innovation in the Agrofood Industry”
