The overwhelming majority of today’s industrial machines is not internet-ready. This is because many industrial machines lack connectivity or have proprietary or industry-specific interfaces. The value of these machines is in their access to data and metadata that can be used to unlock new business opportunities. In this session, we provide a detailed view into how to use AWS Greengrass and AWS Lambda to connect machines with industrial interfaces, such as OPC UA, Modbus, Ethernet/IP, and EuroMap63. We also walk you through a demonstration and show you how to connect to industrial machines and provide data and metadata at the edge and in the cloud.
9. DBIoTCloud
Deutsche Bahn - DB Systel GmbH | Cord Gatzka | 2018 10
IoT areas at Deutsche Bahn
Energy
Passenger traffic
Train stations
CargoMaintenance and Repair
Office Buildings
Tracks
10. DBIoTCloud
Deutsche Bahn - DB Systel GmbH | Cord Gatzka | 2018 11
How can assets communicate
with each other
across all business areas?
12. DBIoTCloud
Deutsche Bahn - DB Systel GmbH | Cord Gatzka | 2018 13
Digital Twin
Digitalization of the freight wagon
Installed sensors enable two types of
measurements
1. relating to operation
2. relating to the environment
SENSOR FEATURES:
position
temperature
humidity
load
mileage
RFID tags
13. DBIoTCloud
Deutsche Bahn - DB Systel GmbH | Cord Gatzka | 2018 14
Digital Twin
Receiving data from sensors Creation of a Digital Twin
Data is aggregated, processed and stored in the
DB IoT Cloud for a unique Digital Twin identity!
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14. DBIoTCloud
Deutsche Bahn - DB Systel GmbH | Cord Gatzka | 2018 15
Digital Twin
Receiving data from scans
Data from external sensors is processed for
example by artificial intelligence so that the
capabilities of the Digital Twin grows
Enrichment of the Digital Twin
!
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15. DBIoTCloud
Deutsche Bahn - DB Systel GmbH | Cord Gatzka | 2018 16
Digital Twin
Receiving data from RFID sensors
Process-based information is attached to
the Digital Twin and creates additional value
Further enrichment of the Digital Twin
!
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16. DBIoTCloud
17Deutsche Bahn - DB Systel GmbH | Cord Gatzka | 2018
By interacting with the Digital Twin,
you obtain information which you
don’t have at the physical asset
Gaining new knowledge
for example
• Health Status (signs of fatigue)
• ETA (Estimated Time of Arrival)
17. DBIoTCloud
Deutsche Bahn - DB Systel GmbH | Cord Gatzka | 2018 18
Digital Twin Ecosystem
DB IoT Cloud
Communication between Twins
Train Station
Train Engine
Maintenance &
Repair
Wagon
Wagon
18. DBIoTCloud
Deutsche Bahn - DB Systel GmbH | Cord Gatzka | 2018 19
Therefore we need to integrate into
a highly heterogeneous physical
world of devices and things.
19. DBIoTCloud
20Deutsche Bahn - DB Systel GmbH | Cord Gatzka | 2018
RFID Asset Identification
Modbus Connectivity
DB IoT Cloud
20. DBIoTCloud
21Deutsche Bahn - DB Systel GmbH | Cord Gatzka | 2018
RFID Asset Identification
Modbus Connectivity
RFID Asset Identification
Modbus Connectivity
DB IoT Cloud
Copyright: Deutsche Bahn AG / Martin Busbach
21. DBIoTCloud
22Deutsche Bahn - DB Systel GmbH | Cord Gatzka | 2018
RFID Asset Identification
Modbus Connectivity
RFID Asset Identification
Modbus Connectivity
RFID Asset Identification
Modbus Connectivity
DB IoT Cloud
22. DBIoTCloud
23Deutsche Bahn - DB Systel GmbH | Cord Gatzka | 2018
RFID Asset Identification
Modbus Connectivity
RFID Asset Identification
Modbus Connectivity
DB IoT Cloud
23. DBIoTCloud
24Deutsche Bahn - DB Systel GmbH | Cord Gatzka | 2018
RFID Asset Identification
Modbus Connectivity
RFID Asset Identification
Modbus Connectivity
RFID Asset Identification
Modbus Connectivity
DB IoT Cloud
24. DBIoTCloud
25Deutsche Bahn - DB Systel GmbH | Cord Gatzka | 2018
RFID Asset Identification
Modbus Connectivity
DB IoT Cloud
25. DBIoTCloud
26Deutsche Bahn - DB Systel GmbH | Cord Gatzka | 2018
RFID Asset Identification
Modbus Connectivity
DB IoT Cloud
26. DBIoTCloud
27Deutsche Bahn - DB Systel GmbH | Cord Gatzka | 2018
Modbus
Protocol
Converter
RFID
Controller
RFID
Reader
Edge Device DB IoT Cloud
RFID
Tag
RFID Asset Identification
Modbus Connectivity