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FITMAN Project
Future Internet Technologies for MANufacturing
IoT Innovation: Application Scenarios, Pilots, Deployments
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IoT Innovation: Application Scenarios, Pilots, Deployments
IOT WEEK 2014
19th June 2014 – London
Sergio Gusmeroli, FITMAN Coordinator, [email protected]
www.fitman.fi-eu
Technology Readiness Levels
• EC is pushing the TRL upwards
• In FP7 we often stopped at TRL 4-5 in
our Collaborative Projects
• In H2020 they introduced some
measures to push the TRL upwards:
� Innovation Actions
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� Innovation Actions
� Open Disruptive Innovation (SMEs)
� Third Party instrument (ICT 30)
• The Innovation potential of a
technology (IoT), i.e. TRL 6 upwards,
depends on the target market
(manufacturing)
Research Innovation Market: IoT 4 MAN
RESEARCH INNOVATION MARKETS
Challenges Business Models Ecosystems
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RESEARCH INNOVATION MARKETS
ScenariosRequirements Needs
Match Align Boost
Key Questions: IoT for Manufacturing
• What are the major barriers for fully adopting IoT
Research outcomes in the Manufacturing domain?
• What are the most innovative business models?
• What is the role of EU Big Players and SMEs (both in the
IoT and in the Manufacturing domains) in Innovation?
• Is there a substantial difference between IoT Innovation
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• Is there a substantial difference between IoT Innovation
and Manufacturing Innovation models?
• Does it make any sense to consider IoT separated and not
in combination with other FI Technologies (such as Cloud
Computing and Big Data)?
• What is the role of Public funding agencies when
addressing innovation and market? State aids?
The FI PPP Research & Innovation programme
SME Innovation
Call 3Call 2
FINESCE
XIFI: Capacity Building
INFINITY: Capacity Building & Infrastructure
Call 1
CONCORD: Programme Facilitation & Support
US
E C
AS
ES
SMARTAGRIFOOD
Instant Mobility
FInest
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FI-WARE: Technology Foundation
3rd Call
Use Case
Expansion
Phase
TF Continuation
FI-CONTENT 2
FITMAN
FI-STAR
FIspace
FINESCE
ENVIROFI
20112010 2012 2013 2014 2015
Phase 3Phase 1 Phase 2
FI-CONTENT
US
E C
AS
ES
OUTSMART
SafeCity
FINSENY
SMARTAGRIFOOD
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FITMAN Factsheet
Project No: 604674
Project Full Name: Future Internet Technologies for MANufacturing
Duration: 24 months
Start date: April 1st 2013Start date:
Partnership: 28 partners, 9 countries
Strategic Objective: FP7-2012-ICT-FI
FI.ICT-2011.1.8: Use Case scenarios and early trials
Total Eligible Cost: 18.034.000 EURO
EC Contribution: 12.890.000 EURO
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FITMAN Beneficiaries
Core Consortium (10)
Original Equipment Manufacturers (4)
SME Networks & Associated S/T (14)
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FITMAN project will deliver
One FITMAN Generic Platform for Manufacturing Industries, as a
collection of several Generic Enablers
Three FITMAN Specific Platforms as a collection of several Specific Enablers
Implementations
Smart Factory
Platform
Smart Factory
Platform
Digital Factory
Platform
Digital Factory
PlatformVirtual Factory
Platform
Virtual Factory
Platform
One generic and flexible Trials Verification and Validation Framework,
encompassing concepts, methods and tools for Manufacturing Trials
8www.fitman.fi-eu
Ten FITMAN Trials Platforms as instantiation of the selected Generic and
Specific Enablers for 10 industry-driven multi-sectorial Trials
Future Internet Platform for
Safer and Healthier
Workplace
Selected FITMAN Trials for IoT
Future Internet Platform for
Real-time Decision Support
Systems
Future Internet Platform for
Car Production System
Planning
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Future Internet Platform for
Collaborative Workspace and
Effective Decision MakingFuture Internet Platform for
Business Opportunity &
Enterprise Networking
Future Internet Platform for
Information Quality in
Collaboration
FITMAN Platform in WHI trial
FI-WARE Layer
GE :: IoT.BackEnd.ConfMan
GE :: IoT.BackEnd.IoTBroker
GE :: IoT.Gateway.DataHandling
SE :: Secure Event Management
TSC :: Notification Manager
FITMAN LayerC
lou
dS
pa
ce
End-User Space
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LINE2
Washing Unit
Prod Count
LINE 1
Assembly Line
St 1
Marriage
WU Start
Functional Test Finishing
ZHQ
Sorter
St n St j St x
Shop Floor
Legacy :: MES Legacy :: SCADA DB
Loca
lPre
mis
es
GE :: IoT.BackEnd.ConfMan GE :: IoT.Gateway.DataHandling
TIC :: Event Generator
FITMAN Platform Instantiation
Analysis of shopfloor
events
CEP business logic
Cloud deployment of
baseline GEs
Custom back-end
services
End-to-end testing of
GEs
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Integration of
database
Integration of
GRADACO event
database
Mobile client
application
End-to-end testing of
Platform
BS 1: Real-time Events
� Users are classified
according to their role
� Events on the shop floor are
classified
� System administrator can
configure users / events
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configure users / events
� Events are linked to
interested user
� System administrator
manage (create, modify)
correlation rules
� Events on the shop floor are
gathered
� Events on the shop floor are
filtered
� Events are communicated to
interested users through
mobile device
Future Internet Platform for collaborative
workspace and effective decision making
Trial Business Value
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Designer/Client
Consulgal Realistic Environment
Supervisor Contractor
On-Site worker Lab Technician
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On-Site worker Lab Technician
Clo
ud
Sp
ace
WA
RE
Laye
r GE: GE: Data.PubSub
FIT
MA
N L
aye
r
TSC: EventGeneratorSE: iLike
SE: Semantic
Mediator
End-Users Space
FITMAN Platform in Consulgal trial
3
Loca
l S
pa
ce
Leg
acy
Laye
r Legacy: WorkFlow Engine Legacy : MySQL DB
Legacy: RFID tags/readers
FI-
WA
RE
Laye
r GE:
Apps.ApplicationMashupGE: Data.PubSub
FIT
MA
N L
aye
r
SE: ShopFloorDataCollection.FitmanT&TTSC: Integrator
Work-Floor Space
2
End to end
testing of GEs
FITMAN Platform Instantiation
Sanity check
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Integration with
Legacy Systems
BS 1: Identification of Concrete
Characteristics and Concreting Plan
� Users with various roles have well
defined workspaces to work on the
tasks assigned to them.
� Designer/Contractor/Supervisor are
trained to use the new platform.
� Supervisor is well informed regarding
the tasks being performed.
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the tasks being performed.
BS 2: Samples collection and testing
� Identification of samples with RFIDs and read/write data associated to the cube.
� RFID tags are tested on site for identification of samples.
� On-site workers and lab technicians will make use of the RFIDs for identification of cubes and entering test results.
� Functionalities on tracking and tracing
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� Functionalities on tracking and tracing the tagged objects – ongoing
� Automatic identification of cube based on test date
� Notification of the test being performed on the sample to the stakeholder