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IoT6, Wise-IoT, and IoF2020
Collaborations
Dr. Daeyoung Kim
March 29th and 30th, 2017
Professor, School of Computing, KAIST
Korea-EU R&D Fair, Seoul and Daejeon, Korea
• kimd@kaist.ac.kr, http://oliot.org, http://autoidlab.kaist.ac.kr, http://resl.kaist.ac.kr http://autoidlabs.org http://gs1.org
© Auto-ID Lab Korea / KAIST
Slide 2
Internet of Things Research Collaborations
(sponsored by NRF and EU)
© Auto-ID Lab Korea / KAIST
Slide 3
Internet of Things Research Collaborations
(sponsored by NRF and EU)
2002 2005 2006 2007 2008 2011 20142003 20092004 20131999 2016 2017
(2) Lightweight IPv6 for resource constrained things
(3) Internet of Things architecture and platform
(1) Wireless sensor
networks
© Auto-ID Lab Korea / KAIST
Slide 4
GS1 (International Standards Organization)
http://gs1.org
GS1(GlobalStandards1)
110 GS1 Member Organizations
More than 2,000,000 industrial members
Auto-ID labs
In 1999, the Internet of
Things" was first coined by
Kevin Ashton who cofounded
the Auto-ID Center(Labs) at
the MIT
GS1 Research Partner
Auto-ID Labs (MIT, KAIST, Cambridge, ETH Zurich,
Fudan, Keio)
© Auto-ID Lab Korea / KAIST
Slide 5
© Auto-ID Lab Korea / KAIST
Slide 6
EU FP7 IoT6 Project
IoT6 is a 3 years FP7 European research
project on the future Internet of Things.
It aims at exploiting the potential of IPv6
and related standards (6LoWPAN, CORE,
COAP, etc.) to overcome current
shortcomings and fragmentation of the
Internet of Things.
It develops a highly scalable IPv6-based
Service-Oriented Architecture to achieve
interoperability, mobility, cloud computing
integration and intelligence distribution
among heterogeneous smart things
components, applications and services.
The project is coordinated by Mandat International from
October 2011 until September 2014.
© Auto-ID Lab Korea / KAIST
Slide 7
Consortium’s Aims and Objectives
Aims and objectives
[1] Research the potential of IPv6 and related
standards to support the future Internet of
Things and to overcome its current fragmentation.
[2] Develop a highly scalable IPv6-based Service-
Oriented Architecture to achieve interoperability,
mobility, cloud computing integration and intelligence
distribution among heterogeneous smart things
components, applications and services.
[3] Explore innovative forms of interactions with:
a) Multi-protocol integration & interoperability
with heterogeneous devices.
b) Mobile & cellular networks.
c) Cloud computing services (SaaS).
d) RFID tags and related systems, such as EPCIS.
e) Information and intelligence distribution.
© Auto-ID Lab Korea / KAIST
Slide 8
© Auto-ID Lab Korea / KAIST
Slide 9
IoT6 Work Package Structure
© Auto-ID Lab Korea / KAIST
Slide 10
Selected IoT6 Sub-Projects
© Auto-ID Lab Korea / KAIST
Slide 11
© Auto-ID Lab Korea / KAIST
Slide 12
© Auto-ID Lab Korea / KAIST
Slide 13
Interface between IoT6, STIS and ONS
© Auto-ID Lab Korea / KAIST
Slide 14
EU-KR Testbed and Demonstration
© Auto-ID Lab Korea / KAIST
Slide 15
© Auto-ID Lab Korea / KAIST
Slide 16
Final Review and Demonstration (Nov. 2014)
© Auto-ID Lab Korea / KAIST
Slide 17
IoT6 Achievements
© Auto-ID Lab Korea / KAIST
Slide 18
• Oliot Open Source Project
• Reference implementation of the latest GS1
Standards and IoT enhancements
• GS1 Source
• Pedigree
• Traceability & Recall
• ONS
• DS
• EPCIS
• F&C
• IoT connectivity Layer
• http://oliot.org
Oliot Project (2013~)
© Auto-ID Lab Korea / KAIST
Slide 19
EU-KR Wise-IoT Project (2016-2018)
• A collaboration project among 18 partners in Europe &
South Korea for two years
• Use case driven
• Trust-based recommendation system
• End-to-end semantic interoperability
• Six testbeds from Europe & South Korea
• Trials at PyeongChang Olympic & Paralympic Games
© Auto-ID Lab Korea / KAIST
Slide 20
GS1 in Wise-IoT
• Integration of GS1 & oneM2M & FiWare
• Interoperability
• Bus data leverage, and capture & store in EPCIS
• Bus system identification
• Bus application development
• Context information and data analysis
• Use case demonstration
• Santander & Busan City
Wise-IoT architecture overview
Event Data
Manager
Master Data
Collector
Event Data
Collector
Data Capturing Layer
EPC Information ServiceObject Name Service
Service Interface Layer
ONS Manager
Services
ResourcesExisting Services Smart City Resources
Service Manager
Response Master Data Event Data
SmartCityPlatform
Identification System
Master Data
Manager
Data
REST
API
Meta Data
Collector
Meta Data
Manager
Meta Data
GS1 Source
Data
REST
API
Event Data
Manager
Translator
Query
Manager
Existing Service
Manager
Query
GS1 Smart City
Platform
© Auto-ID Lab Korea / KAIST
Slide 21
EU H2020 IoF2020 Project
(2017~2020)
• EU Horizon 2020 – Internet of Food and Farm 2020 (IoF2020)
Project
• Accelerate adoption of IoT for securing sufficient, safe and healthy
food
• Strengthen competitiveness of farming and food chains in Europe
• The IoF2020 consortium of 71 partners from 16 countries, including
core partners of previous key projects such as FIWARE and IoT-A, for
leveraging their ecosystem and architecture
• 19 use cases grouped in 5 trials with end users from the Arable, Dairy,
Fruits, Vegetables and Meat verticals
• Kick-off meeting at Amsterdam in 20~21. Feb. 2017 :
• http://iof2020.eu/iof/iof2020
The only non-EU participant
© Auto-ID Lab Korea / KAIST
Slide 22
5 Trials & 19 Use cases
© Auto-ID Lab Korea / KAIST
Slide 23
Generic project approach and structure
© Auto-ID Lab Korea / KAIST
Slide 24
KAIST leads Food Service Project in Korea
• Development of agro-livestock cloud and application service for balanced
production, transparent distribution and safe consumption based on GS1
• From Mar. 2015 – Mar. 2018
• Funding $ 7 Million
• Adoption of GS1 Standards,
CBV, EPCIS, ONS, GS1 Source as
Korean National Standards
+1200
Farms
Logistics
center
Factory
Customer
Market
Restaurant
School
Internet Mall
Wanju Local Foods
Cooperative Federation
(Currently ongoing)
© Auto-ID Lab Korea / KAIST
Slide 25
International Collaboration : Food Service
Planning co-
operation with
Dominican
Republic, 2017
Join Internet of Food
and Farm (IoF2020)
2017-2020
Mooju Cheon-ma
Traceability System
2016-2017.8
Wanju Local Food
Traceability System
Commercialize
2015-2017Wanju Local Food
Soy-milk Processing
Factory
2016-2017
Food Safety & Global Traceability Testbed Establishment with
Auto-ID Labs, Fudan in China
Reached agreement, Interoperability Test in 2017
Trace data
Nong-hyup
Genuine
Cert.
Ads.
Product
Info.
GTIN
(02) 880 0123 454312
Product
Search
ONS Peer Root
Local Name Server
Eun-yong
Agri.
Minitry of
Hygiene
Traceability
Ministry
of Agri.
Ask trace of
Chinese Crop
Ask trace of
Korean Crop
Consumer
GTIN
(02) 690 0152 116568
FQDN
0.1.3.4.5.4.3.2.1.0.0.8.8.
gtin.gs1.id.onsepc.kr
FQDN
0.6.5.6.1.1.2.5.1.0.0.9.6.
gtin.gs1.id.onsepc.kr
2.5.1.0.0.9.6..gtin.gs1.id.onsepc.cn
Ministry
of Agri.
AUS
ko | kr | gtin |
06900152116568
AUS
ko | kr | gtin |
08800123454312
China
onsepc.cn
3.2.1.0.0.8.8.gtin.gs1.id.onsepc.kr
Korea
onsepc.kr
© Auto-ID Lab Korea / KAIST
Slide 26
GS1 Oliot Industrial Projects in Korea
GS1beacons
ONS Peer Roots
Beacon Discovery Infrastructure
Medical
Assets
(GIAI, GRAI, GTIN...)
Medical Location
(GLN, SGLN...)
Medical
Service Relation
(GSRN, GDTI...)
Office room
#9
Syringe
#993
Reserv.
#7421
Medical
Cart #2
Stehoscope
#6
Reservation,
Registration, Payment
Operation room, Office
room, Patient room...
Management, Rental,
Trace&Track...
SMART CITY
Smart City
Platform
Open
Processes
Open Data
Open
Services
Citizens
Businesses
Buildings Research
Transport
Services
Energy
MobilityUtilities
Communications
Resources
- GS1 Identification System
- EPC Information Service
- Object Name Service
Smart City
FoodService Healthcare
What Where When
Why
(Event Data)
Capturing
Application
Car Event Information
Capture
Third-Party
Services
EPCIS
Share Data
ONS
Service List
Event
Data Add
Service
Get EPCIS
AddressSave Data
Get Service List
Service
Application
Service Data
USER
Access
Smart Factory IoT Education
Connected Car
M.E.S
E.R.P
GS1
© Auto-ID Lab Korea / KAIST
Slide 27
Benefits and Experiences
Meet wonderful friends
Give students opportunity to work with international partners
Learn each other
Change the world
together

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Eu fp7-h2020-experiences-daeyoung kim-kaist

  • 1. IoT6, Wise-IoT, and IoF2020 Collaborations Dr. Daeyoung Kim March 29th and 30th, 2017 Professor, School of Computing, KAIST Korea-EU R&D Fair, Seoul and Daejeon, Korea • kimd@kaist.ac.kr, http://oliot.org, http://autoidlab.kaist.ac.kr, http://resl.kaist.ac.kr http://autoidlabs.org http://gs1.org
  • 2. © Auto-ID Lab Korea / KAIST Slide 2 Internet of Things Research Collaborations (sponsored by NRF and EU)
  • 3. © Auto-ID Lab Korea / KAIST Slide 3 Internet of Things Research Collaborations (sponsored by NRF and EU) 2002 2005 2006 2007 2008 2011 20142003 20092004 20131999 2016 2017 (2) Lightweight IPv6 for resource constrained things (3) Internet of Things architecture and platform (1) Wireless sensor networks
  • 4. © Auto-ID Lab Korea / KAIST Slide 4 GS1 (International Standards Organization) http://gs1.org GS1(GlobalStandards1) 110 GS1 Member Organizations More than 2,000,000 industrial members Auto-ID labs In 1999, the Internet of Things" was first coined by Kevin Ashton who cofounded the Auto-ID Center(Labs) at the MIT GS1 Research Partner Auto-ID Labs (MIT, KAIST, Cambridge, ETH Zurich, Fudan, Keio)
  • 5. © Auto-ID Lab Korea / KAIST Slide 5
  • 6. © Auto-ID Lab Korea / KAIST Slide 6 EU FP7 IoT6 Project IoT6 is a 3 years FP7 European research project on the future Internet of Things. It aims at exploiting the potential of IPv6 and related standards (6LoWPAN, CORE, COAP, etc.) to overcome current shortcomings and fragmentation of the Internet of Things. It develops a highly scalable IPv6-based Service-Oriented Architecture to achieve interoperability, mobility, cloud computing integration and intelligence distribution among heterogeneous smart things components, applications and services. The project is coordinated by Mandat International from October 2011 until September 2014.
  • 7. © Auto-ID Lab Korea / KAIST Slide 7 Consortium’s Aims and Objectives Aims and objectives [1] Research the potential of IPv6 and related standards to support the future Internet of Things and to overcome its current fragmentation. [2] Develop a highly scalable IPv6-based Service- Oriented Architecture to achieve interoperability, mobility, cloud computing integration and intelligence distribution among heterogeneous smart things components, applications and services. [3] Explore innovative forms of interactions with: a) Multi-protocol integration & interoperability with heterogeneous devices. b) Mobile & cellular networks. c) Cloud computing services (SaaS). d) RFID tags and related systems, such as EPCIS. e) Information and intelligence distribution.
  • 8. © Auto-ID Lab Korea / KAIST Slide 8
  • 9. © Auto-ID Lab Korea / KAIST Slide 9 IoT6 Work Package Structure
  • 10. © Auto-ID Lab Korea / KAIST Slide 10 Selected IoT6 Sub-Projects
  • 11. © Auto-ID Lab Korea / KAIST Slide 11
  • 12. © Auto-ID Lab Korea / KAIST Slide 12
  • 13. © Auto-ID Lab Korea / KAIST Slide 13 Interface between IoT6, STIS and ONS
  • 14. © Auto-ID Lab Korea / KAIST Slide 14 EU-KR Testbed and Demonstration
  • 15. © Auto-ID Lab Korea / KAIST Slide 15
  • 16. © Auto-ID Lab Korea / KAIST Slide 16 Final Review and Demonstration (Nov. 2014)
  • 17. © Auto-ID Lab Korea / KAIST Slide 17 IoT6 Achievements
  • 18. © Auto-ID Lab Korea / KAIST Slide 18 • Oliot Open Source Project • Reference implementation of the latest GS1 Standards and IoT enhancements • GS1 Source • Pedigree • Traceability & Recall • ONS • DS • EPCIS • F&C • IoT connectivity Layer • http://oliot.org Oliot Project (2013~)
  • 19. © Auto-ID Lab Korea / KAIST Slide 19 EU-KR Wise-IoT Project (2016-2018) • A collaboration project among 18 partners in Europe & South Korea for two years • Use case driven • Trust-based recommendation system • End-to-end semantic interoperability • Six testbeds from Europe & South Korea • Trials at PyeongChang Olympic & Paralympic Games
  • 20. © Auto-ID Lab Korea / KAIST Slide 20 GS1 in Wise-IoT • Integration of GS1 & oneM2M & FiWare • Interoperability • Bus data leverage, and capture & store in EPCIS • Bus system identification • Bus application development • Context information and data analysis • Use case demonstration • Santander & Busan City Wise-IoT architecture overview Event Data Manager Master Data Collector Event Data Collector Data Capturing Layer EPC Information ServiceObject Name Service Service Interface Layer ONS Manager Services ResourcesExisting Services Smart City Resources Service Manager Response Master Data Event Data SmartCityPlatform Identification System Master Data Manager Data REST API Meta Data Collector Meta Data Manager Meta Data GS1 Source Data REST API Event Data Manager Translator Query Manager Existing Service Manager Query GS1 Smart City Platform
  • 21. © Auto-ID Lab Korea / KAIST Slide 21 EU H2020 IoF2020 Project (2017~2020) • EU Horizon 2020 – Internet of Food and Farm 2020 (IoF2020) Project • Accelerate adoption of IoT for securing sufficient, safe and healthy food • Strengthen competitiveness of farming and food chains in Europe • The IoF2020 consortium of 71 partners from 16 countries, including core partners of previous key projects such as FIWARE and IoT-A, for leveraging their ecosystem and architecture • 19 use cases grouped in 5 trials with end users from the Arable, Dairy, Fruits, Vegetables and Meat verticals • Kick-off meeting at Amsterdam in 20~21. Feb. 2017 : • http://iof2020.eu/iof/iof2020 The only non-EU participant
  • 22. © Auto-ID Lab Korea / KAIST Slide 22 5 Trials & 19 Use cases
  • 23. © Auto-ID Lab Korea / KAIST Slide 23 Generic project approach and structure
  • 24. © Auto-ID Lab Korea / KAIST Slide 24 KAIST leads Food Service Project in Korea • Development of agro-livestock cloud and application service for balanced production, transparent distribution and safe consumption based on GS1 • From Mar. 2015 – Mar. 2018 • Funding $ 7 Million • Adoption of GS1 Standards, CBV, EPCIS, ONS, GS1 Source as Korean National Standards +1200 Farms Logistics center Factory Customer Market Restaurant School Internet Mall Wanju Local Foods Cooperative Federation (Currently ongoing)
  • 25. © Auto-ID Lab Korea / KAIST Slide 25 International Collaboration : Food Service Planning co- operation with Dominican Republic, 2017 Join Internet of Food and Farm (IoF2020) 2017-2020 Mooju Cheon-ma Traceability System 2016-2017.8 Wanju Local Food Traceability System Commercialize 2015-2017Wanju Local Food Soy-milk Processing Factory 2016-2017 Food Safety & Global Traceability Testbed Establishment with Auto-ID Labs, Fudan in China Reached agreement, Interoperability Test in 2017 Trace data Nong-hyup Genuine Cert. Ads. Product Info. GTIN (02) 880 0123 454312 Product Search ONS Peer Root Local Name Server Eun-yong Agri. Minitry of Hygiene Traceability Ministry of Agri. Ask trace of Chinese Crop Ask trace of Korean Crop Consumer GTIN (02) 690 0152 116568 FQDN 0.1.3.4.5.4.3.2.1.0.0.8.8. gtin.gs1.id.onsepc.kr FQDN 0.6.5.6.1.1.2.5.1.0.0.9.6. gtin.gs1.id.onsepc.kr 2.5.1.0.0.9.6..gtin.gs1.id.onsepc.cn Ministry of Agri. AUS ko | kr | gtin | 06900152116568 AUS ko | kr | gtin | 08800123454312 China onsepc.cn 3.2.1.0.0.8.8.gtin.gs1.id.onsepc.kr Korea onsepc.kr
  • 26. © Auto-ID Lab Korea / KAIST Slide 26 GS1 Oliot Industrial Projects in Korea GS1beacons ONS Peer Roots Beacon Discovery Infrastructure Medical Assets (GIAI, GRAI, GTIN...) Medical Location (GLN, SGLN...) Medical Service Relation (GSRN, GDTI...) Office room #9 Syringe #993 Reserv. #7421 Medical Cart #2 Stehoscope #6 Reservation, Registration, Payment Operation room, Office room, Patient room... Management, Rental, Trace&Track... SMART CITY Smart City Platform Open Processes Open Data Open Services Citizens Businesses Buildings Research Transport Services Energy MobilityUtilities Communications Resources - GS1 Identification System - EPC Information Service - Object Name Service Smart City FoodService Healthcare What Where When Why (Event Data) Capturing Application Car Event Information Capture Third-Party Services EPCIS Share Data ONS Service List Event Data Add Service Get EPCIS AddressSave Data Get Service List Service Application Service Data USER Access Smart Factory IoT Education Connected Car M.E.S E.R.P GS1
  • 27. © Auto-ID Lab Korea / KAIST Slide 27 Benefits and Experiences Meet wonderful friends Give students opportunity to work with international partners Learn each other Change the world together