This document discusses using GS1 standards to build digital twins of smart cities. It begins with an overview of the Auto-ID Labs at KAIST and their work developing GS1 standards. It then discusses definitions of smart cities and examples of smart city services. The document outlines some examples of smart city projects in countries like Japan, Korea, China, and Barcelona. It focuses on using GS1 standards like EPCIS, GLN, and ONS to integrate legacy city platforms and share data and services. This would allow building digital twins and providing new smart city insights and applications. The document proposes mapping Korean address standards to GLN to uniquely identify locations. It also suggests using EPCIS as a smart city data hub to
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GS1 Standards in Building Smart Cities
1. GS1 Standards in Building Digital Twins of
Smart Cities:
“Identify, Capture, Share, Use, and Imagine”
Daeyoung Kim
October 24, 2019
Professor, School of Computing, KAIST
Director, Auto-ID Labs, KAIST
• kimd@kaist.ac.kr, http://oliot.org, http://autoidlab.kaist.ac.kr, http://resl.kaist.ac.kr, http://autoidlabs.org, http://gs1.org
17. Manufacturing Data
(Parts, Factory,
Manufacturing date)
Korea, Busan Bus Spain, Santander Bus
Registration/
Inspection Data
(VIN, Plate Number,
Reg. Number, Owner,
Inspection Data)
Sensor Data
(Location, Speed,
RPM)
Accident Record
Data
(Date, Location,
Damages)
Arrival
Estimation
Service
Traceability
Service
Recall
Service
Nearby
School
Service
Advertise-
ment
Service
18. Seoul
Busan
InIn Korea, 50 number of Bus Line #100, Three bus stops of ID 43030
Local and non-standard Identification System, API, and Data format/contents
1. Data Sharing
(Data Hub)
19. QR code carries a single service
Through URL
Needs Scalability
2. Service Sharing
(Service Hub)
22. (1) Data Integration
- Identifiers of Buildings,
Parks, Places –
(2) Service Discovery and Access
- Identifiers of Buildings,
Parks, Places –
- -
Digital Twin Infrastructure for
SmartCities
Smart City
An Efficient Management of City
Resources