Presentation by Ulrich Ahle CEO, FIWARE Foundation FIWARE Tech Summit 28-29 November, 2017 Malaga, Spain

1. FIWARE - Accelerating Materialization of the
IDS Architecture
Ulrich Ahle
FIWARE Foundation CEO
ulrich.ahle@fiware.org
- Confidential -

2. 1
e-business Web 2.0 Smart Life
Presence of business
on Internet
(B2C, B2B)
Presence of people
on Internet
(Social Networks)
Improving daily life
of people and businesses
(Smart X)
We are in front of a new Digital revolution which will transform the daily
life of people and businesses: everything that can be connected will be
connected, for the sake of a more smart life

3. 2
The new Digital Life will gravitate around context data. Context
data which describes what is going on, where, when, why …

4. 3
… in Cities
Bus
• Location
• No. passengers
• Driver
• Licence plate
Citizen
• Birthday
• Preferences
• Location
• ToDo list
Shop
• Location
• Business name
• Franchise
• offerings

5. 4
Tractor
• Location
• Speed
• Direction
Crop
• Humidity
• Leaf area
• Age
Drone
• Location
• Battery level
• Speed
• Direction
… in Agrifood

6. 5
Tanker
• Driver
• Location
• Max Volume
• Current Level
• Speed
• Direction
Gas Tank
• Station
• Max Volume
• Current Level
• Min Threshold
• Temperature
Station
• Location
• Owner
• SLA
… in Industry

7. 6
Context creates a digital continuum, blurring the frontiers between application domains
Breaking the current silos of information

8. FIWARE: Driving the standard for Context Information Management
§ FIWARE NGSI is a simple yet powerful public, royalty-free standard API for Context
Information Management
§ A RESTful API using JSON so any web/backend programmer gets quickly used to it
§ Yet powerful: FIWARE NGSI supports geo-queries, soon Linked Data (JSON-LD)
7
Application/Service
Bus
• Location
• No. passengers
• Driver
• Licence plate
Citizen
• Name-Surname
• Birthday
• Preferences
• Location
• ToDo list
Shop
• Location
• Business name
• Franchise
• offerings
Context Information
FIWARE NGSI API

9. 8
The GSMA has published
a Reference Architecture
for IoT Big Data
Ecosystem which
recommends to mobile
operators
FIWARE NGSIv2 should
be supported by
implementers delivering
the IoT Big Data
ecosystem
TM Forum, the global
industry association for
digital business, is working
with FIWARE to deliver the
key building blocks for
enabling and connecting
Smart City ecosystems.
TM Forum is supporting
the FIWARE NGSI APIs for
real-time access to context
information in cities.
ETSI has announced the
creation of a new Industry
Specification Group on
cross-sector Context
Information Management
(ISG CIM) for smart cities
applications and beyond.
FIWARE NGSIv2 is the
starting point for the CIM
API to be specified
FIWARE: driving the standards for Context Information Management

10. Open data publication
Once context information is gathered, other useful
FIWARE enablers can be used
9
Advanced Web-based UI
(AR, 3D)
Data/Apps visualization
Big Data AnalysisComplex Event
Processing
Multimedia processing
IoT-enabled
Context Information
Management

11. Shared context information would boost innovative services
and the development of a Data Economy
§ Organizations in different domains could
interchange data based on a common Context
Information Management layer
§ Authorization and Access Control Policies govern
who can access what, when (Sovereignity of Data)
§ Organizations may monetize the data they offer
(Economy of Data)
10
Smart
Factory
Smart
Bank
Smart
Retail
Smart
Home
Smart
City
Virtual Shared Data Space
Smart
Servicesstandard
API
FIWARE NGSI and Context Broker
Technology have been selected to
become a CEF (Connecting Europe
Facility) Building Block

12. 11
FIWARE vision is fully aligned with that of the
Industrial Data Space initiative

13. 12
MoU Industrial Data Space and FIWARE Foundation
§ A MoU has been signed IDSA and FIWARE
§ The MoU establishes:
• It is a common goal that a valid open source implementation of the IDS Architecture can be based
on FIWARE, compatible with FIWARE Architecture principles.
• FIWARE Foundation will work towards making sure that core FIWARE GEs can be integrated
together to build a valid open source implementation of the IDS Architecture.

14. 13
Materializing the IDS Architecture using FIWARE
FIWARE Context
Broker components
will be used as core
component of IDS
Connectors
Extended CKAN
Data Publication
Platform
Both External and
Internal IDS
Connectors are
implemented using
FIWARE Context
Broker components
Docker-based tools relying
on Docker Hub Services
enabling automated
deployment and
configuration of Data Apps
standard vocabularies are
being proposed
https://www.fiware.org/data-models
Data Apps map to NGSI
adapters or Apps
processing context
information
Interface between IDS
connectors will be
based on FIWARE NGSI

15. 14
Use Case 1: Zero break-down / Zero defects manufacturing
§ Most manufacturing plants incorporate two types of machines in the production chain:
• Milling machines, producing objects by means of using rotary cutters to remove material from a
workpiece of raw material
• Coordinate-measuring machines (CMM), for measuring the physical geometrical characteristics
of manufactured objects in order to detect defects, etc.

16. Predictive Maintenance system
Milling Machine
Predictive Maintenance system
CMM
15
Use Case: Zero break-down / Zero defects manufacturig
IDS connector IDS connector
IDS connector
BigData
Analysis
IDS connector
BigData
Analysis
data from one machine can be shared with
manufacturer of the other machine because
it is warranted that it will be used only for
the benefit of the Factory customer

17. Breaking the information silos in a controlled manner
Machine Tool 1 –
Milling Centre
Machine 2 –
Press
Machine 3 –
CMM
Machine 3 –
Laser Welding
Maintenance
Service
Maintenance
Service
Maintenance
Service
Maintenance
ServiceCloud
Factory
Process-centric Maintenance Services
16

18. Use Case 2: Powertrain predictive maintenance using Stratio
Automotive Solution
A first system to be connected to the IDS
Architecture based on FIWARE is a demonstrator of
the commercial IoT platform from Stratio Automotive
used for predictive maintenance of fleets.
Installing the Stratio Plug IoT device on a vehicle, a
number of variables are monitored and predictive
maintenance is performed (e.g. the engine will be
overheated in 30 mins so it has to be revised). In
our testbed this will be done for simulated private
transport buses.
One or more cities and fleets will be connected to
the testbed, exporting real/right-time information
which will be valuable in improving algorithms for
predictive maintenance

19. 18
Open Source implementation of IDS Architecture
Development of Use Cases
Leading the way towards Digitising the European
Industry and bring support to the Data Economy

20. Thank you!
www.fiware.org
Follow @FIWARE on Twitter
Ulrich Ahle
FIWARE CEO
ulrich.ahle@fiware.org
- Confidential -