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IoT6, Wise-IoT, and IoF2020 Collaborations Dr. Daeyoung Kim March 29 th and 30 th , 2017 Professor, School of Computing, KAIST Korea-EU R&D Fair, Seoul and Daejeon, Korea [email protected] , http://oliot.org, http://autoidlab.kaist.ac.kr , http://resl.kaist.ac.kr http://autoidlabs.org http://gs1.org

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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

[email protected], 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 2014 2003 2009 2004 2013 1999 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 (Global Standards 1)

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

Smar

t C

ity

Pla

tfo

rm

Identification System

Master Data Manager

DataREST

API

Meta Data Collector

Meta Data Manager

Meta Data

GS1 Source

DataREST

API

Event Data ManagerTran

slator

Qu

ery M

anager

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 2015-2017 Wanju 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-hyupGenuine

Cert.

Ads.

Product Info.

GTIN(02) 880 0123 454312

ProductSearch

ONS Peer Root

Local Name Server

Eun-yongAgri.

Minitry of Hygiene

Traceability

Ministry of Agri.

Ask trace of Chinese Crop

Ask trace of Korean Crop

Consumer

GTIN(02) 690 0152 116568

FQDN0.1.3.4.5.4.3.2.1.0.0.8.8.gtin.gs1.id.onsepc.kr

FQDN0.6.5.6.1.1.2.5.1.0.0.9.6.

gtin.gs1.id.onsepc.kr

2.5.1.0.0.9.6..gtin.gs1.id.onsepc.cn

Ministry of Agri.

AUSko | kr | gtin |

06900152116568

AUSko | 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 DataOpen

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 ListService

Application

Service Data

USERAccess

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