Big Data PPP Industrial Data Platforms - Towards cross-sectorial optimization and traceability To start identifying synergies and to learn how different projects will address key data collection, sharing, integration, and exploitation challenges, a series of webinars have been organized under the umbrella of this Big Data Value PPP. These webinars are also organized by BDVA, BDVe project, and other projects which are part of this PPP.

1. Dr. Francisco Valverde
Big Data PPP Industrial Data Platforms
Towards cross-sectorial optimization and traceability
7th May 2020
This project has received funding from the European
Union's Horizon 2020 research and innovation
programme under grant agreement No 871493

2. dataports-project.eu
What is Dataports?
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Take advantage of the huge amount of data generated
around highly digitalized & connected seaports
Industrial data platform where data coming from different
sources can be combined to improve existing processes
Establish novel cognitive and AI-based applications
Enable new business models

3. dataports-project.eu
What is Dataports?
3
13
Partners
3
Years
+6M
Budget
+900
PMs

4. dataports-project.eu
Coordinator
What is DataPorts?
4

5. dataports-project.eu
What is DataPorts?
5
Semantic approach
for data sharing
Data Governance
Framework
Novel AI-Based
Services
New Cooperation
and Business
framework
Impact Creation for
Seaports
2 Relevant
Use Cases at Seaports
Objectives Engineering
Methodology,
Architecture and Tools

6. DATAPORTS USE CASES

7. dataports-project.eu
ValenciaPort Use Case
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§ First container port in the
Mediterranean and fifth
container port in Europe
§ High Traffic: 5 Million TEUs
§ First and last port of call for
over 100 regular shipping
lines operating in the
Western Mediterranean
§ Multimodal Infrastructure

8. dataports-project.eu
ValenciaPort Use Case
10
Container and Goods Tracking
§ Integrate data using the Port 4.0 platform: gate access control,
container tracking devices, truck’s tracking devices, etc.
§ Get insights about the container arrival and goods status

9. dataports-project.eu
ValenciaPort Use Case
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Transport Operations
§ DataPorts integrates data from transport suppliers involved
in multimodal operations (truck, vessel, rail)
§ Using AI services to improve the planning of these
operations with data from Freight Forwarder’s systems
(vForwarder)
Maritime Shipping
Line
Terminal Operator Road Carrier Train carrier

10. dataports-project.eu
ValenciaPort Use Case
§ Using ValenciaPort PCS, companies
are exchanging transactions to
organize the container transport
§ Extend this PCS to include
advanced analytics and KPI
predictions
§ Securely share data with
authorized departments of the port
authority or external stakeholders
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Data Analytics Sharing Platform with the Port Authority

11. dataports-project.eu
Thessaloniki Use Case
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§ Advantageous position, lined to the maritime transportation
network of the Balkans and Black Sea countries
§ Close to the major Trans-European motorway and railway
networks
§ It serves containers, bulk and general cargo as well as cruise
vessels and passengers.

12. dataports-project.eu
Thessaloniki Use Case
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§ Dataports will integrate existing systems and devices acting
as a single point of reference for data exploitation
Expected Datasources
§ Data owned by TPHA, specifically, ship calls, traffic data,
wind data, air quality data
§ IoT sensors from the city’s Traffic Management Centre
§ OTE as mobile phone carrier will provide customer mobility
data

13. dataports-project.eu
Thessaloniki Use Case
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§ DataPorts will enable analytics for the following apps
§ Data driven app for strategic and real time decisions: how
to optimize a set of parameters based on multiple criteria
(e.g. traffic conditions, weather conditions, forthcoming
arrivals and departures, CO2 and noise levels in the area,
etc.)
§ Mobile app for port users: to instruct on how to better
approach the ship for embarkation, where to wait if needed,
what other points of interest might be relevant for him, etc.

14. dataports-project.eu
Global Use Cases: Smart Container
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§ Containers equipped with
the IOT Box
§ Know exactly when, where
and how many times the
container doors were
opened or the temperature
variations
§ Provide position-based
services, i.e ETA, and
anomalous event
notifications
Position
Movement
Ambient Temperature
Door Opening
Shocks

15. dataports-project.eu
Global Use Cases: Interoperability
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§ Integration of DataPorts with Posidonia Ports Solution Suite,
at different locations, in order to demonstrate its potential
interoperability with existing solutions.
§ We select external ports for testing this interoperability
Container
Data
AI
Services

16. OUR KEY INNOVATIONS

17. dataports-project.eu
Our Key Innovations
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§ Support the federation of data sources available in Ports
Port Community
Systems
Container
Tracking
Port Equipment
IoT Data
Terminal
Operating System
Node
Data Adapter Data Adapter Data AdapterData Adapter
NodeNodeNode

18. dataports-project.eu
Our Key Innovations
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§ Guarantee and end-to-end secured and trustful environment
for data sharing and trading
Platform
Secure
Connector
Secure Data Exchange
Secure
Connector
Port
Authority
Container
Carrier
Security
Guidelines
Secure
Identity
Data Governance
Permissioned
Blockchain

19. dataports-project.eu
Our Key Innovations
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§ Provide Big Data Analytics capabilities to develop cognitive
applications
Cognitive services
Platform
Ports cognitive
app
Train ML Models
Auto ML
Prepare Data
<

20. dataports-project.eu
Our Key Innovations
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IDS Connector
T3.3 Data abstraction &
virtualization
Vocabulary Provider
Identity Provider Clearing House
IDS Connector
Broker Service
T4.3 Data Sharing &
Trading
T4.2 Smart Contracts
T3.5 Permissioned
Blockchain
T3.1 Data Access
T3.3 Data Analytic &
AI Services
T5.{2,3,4} Pilot
Implementation
T3.2 Data Semantic
Interoperability
Secure Data Exchange
T4.4 Data governance
and security procedures
Alignment with the IDSA Reference Architecture

21. CHALLENGES AHEAD

22. dataports-project.eu
Data Challenges
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Data Heterogeneity
A wide array information systems and data infrastructures are
used in Ports for regular business processes
Trust & Security in Data Sharing
To boost adoption we must guarantee a secure information
flow between port stakeholders
Data trading using Blockchain
Novel technology in the transports and ports domain and still
evolving
Accurate Cognitive Services
AI requires high amounts of quality data to provide precise
predictions

23. dataports-project.eu
Impact Challenges
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A federated platform for creating a data space ecosystem an to improve
operations in the shipping and maritime industry
Increase the transparency and trust level in the context of Industrial Data
Spaces
Enabling new business models in which data from European Ports will be a
tradable asset

24. dataports-project.eu
Thank You For Your Attention
Dr. Francisco Valverde
fvalverde@iti.es
ITI, R&D Engineering Director
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This project has received funding from the European
Union's Horizon 2020 research and innovation
programme under grant agreement No 871493