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ECS-SRADigital Industry
Digital IndustryOverall SRA Process
2
Dec ‘17 Jan ‘18Aug ‘17 Sep ‘17Apr ‘17 May ‘17 Jun ‘17 Jul ‘17 Nov ‘17Oct ‘17
Outline & teams definition
First draft
Second draft
for comments
by community
Final version
Team, half page & « Game Changers » description
V1 – Majorchallengesidentified
V3 – For review by assoc.mgtbodies
V2 – For review by assoc. expert councils.Topic & Major Challenges
V5 – Finaldraft for review by assoc.mgtbodies
Finalversion
May 4Kick-off
Dec 5-6EFECSWorkshopsDec 7th Core team& chaptersleaders
April 19Core team1st meeting
June 9Core team& chapterleaders
July 4Core team& chapterleaders
Sep 7Core team& chapterleaders
Oct 12Core team& chapterleaders
Beg Nov.(no mtg)
Dec 18(no mtgExcept if needed)
End Jan(no mtg)
July 18Coreteam
Aug 25Coreteam
Sep 29Coreteam
Oct 18Coreteam
V4 – Publiclyavailablefor comments+ PreliminaryinputTo ECSEL MASP
Nov 20Core team+ comm.
Over 250 expertsacross core team + 10 chapter teams
Digital IndustryOverall SRA structure
3
Digital IndustryChapter contributors
First Name Last Name Organization Country
Oscar Carlsson Midroc SE
Jon Kepa Gerrikagoitia IDEKO ES
Knut Hufeld Infineon Technologies DE
Miren Illarramendi Mondragon ES
Ove Jansson Ableko SE
Mika Karaila Valmet FI
Petter Kyösti LTU SE
John Lindström ProcessIT SE
Rob Meier DSM NL
Jan Nyqvist ABB SE
Roberto Uribeetxeberria Mondragon ES
Olli Ventä VTT FI
Martin Winter SusChem BE
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Digital IndustryRelevance
• Digital Industry will require new applications and methods to get current factories work at the maximal flexibility & efficiency and optimized production level. As there will be less workers they should get more information.
• The only way to support information flow is to use new innovations and integrate them to normal work flow. This means that user should have access to information as he/she needs it.
• This kind of easy access requires still security and a lot back-end server capacity to process information ready to be used. Optimal system will setup itself according the designed and installed system.
• This means we should have self-organizing intelligence at the factory level.
• Disruption can happen as wireless sensors and new field connectivity solutions are needed with industrial internet. Cloud based network and integration will change value chain. One challenge is to use this kind of network fast and dynamic way.
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Digital IndustryMajor Challenges
1. Developing digital twins, simulation models for the evaluation of industrial assets at all factory levels and over system or product life-cycles;
2. Implementing AI and machine learning, to detect anomalies or similarities and to optimize parameters;
3. Generalizing conditions monitoring, to pre-warn before damages and to help on-line decision-making;
4. Developing digital platforms, application development frameworks that integrate sensors and systems.
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Digital IndustryGame Changers
Technological New Paradigms
• Advances in computing: Facing a new software complexity
• Increased connectivity
• Heterogeneous integration / comprehensive smart miniaturisedsystems
• Additive manufacturing / 3D printing
• Micro Nano Bio Systems (MNBS)
Business Model & Societal New Paradigms
• Everything as a Service
• Faster and shorter innovation cycles
• New transaction mechanisms for improved trust and security: Blockchain
• Virtual networked enterprise
• Vertical Integration & leadership
• When Consumers become prosumers
Digital IndustryCompared to wider scope
Condition monitoringCondition monitoring
AI & Machine learning
Digital platforms
Digital IndustryAreas for R&D&I for the Challenges
• Simulation• Multi-domain, tools-connected, simulation-based design
• Tracking mode simulation, model adaption based on measurements
• Artificial Intelligence• automated design features, technologies to connect intelligence
• High TRL level analysis, prediction and optimization, decision support
• Digital platforms• Move focus on the industrial or engineering applications. Engineering tools.
• High level, outperforming applications and systems, for the actual industrial and business needs
• Prepare for the era of 5G in communication technology, and especially its manufacturing and engineering dimension
• Interoperability cross platforms
• Solve the cyber-security problems.• Only safe, secure, and trusted platforms are accepted and survive in industry.
Digital IndustryExpected achievements
• Industrial cases, solution examples, state of art technology• Agile projects, from fast prototypes to real use case solution
• Machine learning & AI integrated to solve problems and guide user• Existing platforms and algorithms
• Show with real examples how to use these
• Digital platforms used to integrate new sensors (wirelessly) and new applications• Digital twins helping in simulation & condition monitoring
• Condition monitoring with machine learning & AI
Digital IndustryExpected achievements
Next some examples
The current state of new technology
Digital IndustryAWS DeepLens
Digital IndustryVarjo headset: https://www.varjo.com/
Digital IndustryXR in Industry
Wearables & collaborationAvatars for presenceNon player character (NPC) for Valmet Virtual Expert (AI)
Digital IndustryConnecting real/simulated world to VR
Animated Domain objects with real-time valuesContext menu links for back end servers
Digital IndustryNext generation connectivity
NB-IOT proto-type:New connectivity for old and new sensors
Antenna
Modem + MCU
Digital IndustryTime Frame
• From NB-IOT 2018-2019 connectivity to real 5G 2020• New connectivity, providing more information from old & new devices
• Condition monitoring applications on cloud• 2018 as connectivity provide new way to store data• 2018-2019 Machine learning algorithms running and detecting, also on Edge level• 2020 AI based reasoning as expert
• Digital twins• 2018 Building models based on new data • 2019 Connecting these to machine learning
• Digital platfroms used to connect all above and providing building blocks and glue• 2018 prototypes and API OPS ways to connect platforms & clouds• 2019 Meta platform that can use YAML/JSON descriptions programmatic online integration and
interoperability
Digital IndustryThe floor is yours!
• Questions?
• Feedback?
• Inputs?
18
Digital IndustryFeedback and inputs
• <Item 1>
• <Item 2>
• <Item 3>
19
Research Funding instrument landscape
NATIONAL
Develop & Maintain
Critical Mass
National contract
EUREKA
Multi Trans-National
Programmes
National Priorities
National contract
H2020
Innovation & Infrastructure
European Priorities
EC contract
ECSEL-JU
ECS Programmes
National & European
Priorities
EC contract & National
contract
NATIONAL CROSS BORDER COOPERATION
NATIONAL FUNDINGEUROPEAN FUNDING
Digital IndustryPitched ideas
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Idea Name Presenter Organization Grand Challenge
Arrowhead Tools Jerker Delsing Lulea University of Technology Connectivity and Interoperability
Cyril - Cyber ecosYstems of modulaR dynamIcpLatform technologies
Carl Gisleskog MS&L ComTech Digital platform
SOS4ALL - Accessible communication for all citizens for disaster and emergency risk management
Pilar Orero Universitat Autonoma de Barcelona
Jon Legarda Macon Universidad de Deusto
Han Zwijnenberg DAT.Mobility BV
Wolfgang Buchholtz Global Foundries
Loreto Mateu Fraunhofer IIS
SunRISE Christopher Nigischer NXP Machine learning
Funding instruments present at EFECS
• ECSEL JU (with AENEAS, ARTEMIS-IA, EPoSS)• 2018 call will open ***
• EUREKA programmes• Eurostars
• Call open, cut off date March 1st, 2018
• EURIPIDES²• Spring call 2018 PO deadline March 12th 2018
• ITEA3• Call 4 closing date February 15th 2018
• PENTA• Call 3 opens December 5th, 2017, deadline for PO February 13th, 2017
• SMART Manufacturing• Call 1 opens December 11th, 2017, deadline for PO March 9th 2018
• EUROGIA2020• Call closure February 22nd, 2018
• CELTIC-PLUS• Call closure April 23rd, 2018
• H2020
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EUREKA Clusters
Digital IndustryContact Information
23
Olli Ventä[email protected]
Mika KarailaValmet [email protected]
Knut [email protected]
