splunklive! frankfurt 2017 - db cargo
TRANSCRIPT
Internet of Things in Rail Freight Business
Project TechLOK @ DB Cargo
Frankfurt, March 2017
Mathias Thomas | Marcus Gössl
Project TechLOK, DB Cargo AG
2
Agenda
Company Overview
Deutsche Bahn & DB Cargo
Project TechLOK
Business Case and Use Cases
Summary and Outlook
DB Cargo AG | Mathias Thomas & Marcus Gössl | Asset & Maintenance Digitization | March 2017 |2
3
With its eight business units DB is active in all segments of the
transport market
Passenger Transport:
Domestic and European-wide mobility
services
� DB Long DistanceLong-distance rail pass. transport2
� DB RegionalRegional/urban pass. transport (GER)
� DB ArrivaRegional/urban pass. transport (EU)3
Passenger Transport:
Domestic and European-wide mobility
services
� DB Long DistanceLong-distance rail pass. transport2
� DB RegionalRegional/urban pass. transport (GER)
� DB ArrivaRegional/urban pass. transport (EU)3
Infrastructure:Efficient and future-oriented rail
infrastructure in Germany
� DB Netze TrackRail network
� DB Netze StationsTraffic stations
� DB Netze EnergyTraction current
Infrastructure:Efficient and future-oriented rail
infrastructure in Germany
� DB Netze TrackRail network
� DB Netze StationsTraffic stations
� DB Netze EnergyTraction current
Transportation and Logistics: Intelligent logistics services via land,
air and the sea
� DB CargoEuropean rail freight transport
� DB SchenkerGlobal logistics services
Transportation and Logistics: Intelligent logistics services via land,
air and the sea
� DB CargoEuropean rail freight transport
� DB SchenkerGlobal logistics services
1 The former business unit DB Services has been dissoluted and its activities assigned to different divisions; 2 Within Germany as well as cross border traffic;
3 In UK with Arriva-affiliate ‘CrossCountry’ also long-distance passenger transport;
dated: Jan. 2017
3 DB Cargo AG | Mathias Thomas & Marcus Gössl | Asset & Maintenance Digitization | March 2017 |
DB Cargo has a strong European network and is
the number one in European rail freight transport
DB Cargo in 2015
Profile
� With some 4,200 private customer sidings in Europe, DB Cargo offers
its customers access to one of the world's largest rail networks
� DB Cargo's international network follows the major European rail
freight corridors
� DB Cargo offers European rail transport in the form of block train,
single wagonload and multimodal services
� Tailor-made transport and logistics solutions are also available as
additional services that can link the rail mode with road (trucking) and
ocean freight service
� The key industries served by DB Cargo are metals and coal, chemicals,
automotive, building materials, industrial and consumer goods, and
intermodal transport
� DB Cargo's customers are primarily key accounts
� Most of DB Cargo's services are carried out using its own fleet of
locomotives and freight cars
30,303
98,445 m tkm
300 m. t
2,869 / 87,264
313 km
Employees (FTE)
Metric ton km
Freight carried
Fleet1
Avg. dist. transported
1 Locomotives / freight cars
DB Cargo AG | Mathias Thomas & Marcus Gössl | Asset & Maintenance Digitization | March 2017 |4
Program Asset & Maintenance Digitization
DB Cargo AG | Mathias Thomas & Marcus Gössl | Asset & Maintenance Digitization | March 2017 |5
TechLOK: about 2,000 locomotives interlinked by 2019 drive significant efficiency improvement
Operational data
Diagnosis data
Data Collection
Data Visualization & Analytics
Data Access
secure data transmission;data translation;
combine different data sources
Development of use cases;transform data into information
and results
existing and additional sensors;diagnosis boxes;
hardware interface
+
+
Num
be
r of lo
com
otiv
es
inte
rlin
ked
2017
2018
2019
500
1,000
1,500
2,000
Today: 900
Geo Position
Pantograph 1: inactivePantograph 2: activeFailure massage: warning ASG*
converter-temperature: 25° Cengine–temperature: 70° Cenergy consumption: 21 kW/htraction motor fan 1: 23.000 U/min
* ASG = Antriebssteuergerät/traction unit
DB Cargo AG | Mathias Thomas & Marcus Gössl | Asset & Maintenance Digitization | March 2017 |6
Currently TechLOK project forces various use cased driving rolling stock availability
Smart Locos Asset Intelligence Center Use Cases Benefits
GPS
diagnosisdata
processdata
visualization
analysisstorage
data quality
processes
Reduction of Unplanned Maintenance Efficient Maintenance operationOptimized Maintenance Ordering
Transparent Diagnosis
Data
� Transparency for first level support to avoid unnecessary maintenance stops
� Classification of diagnosis data according to severity
Condition Monitoring and Geo Position
� Support decision process in train operations
� Reduction of in service failures and improved availability
Data Driven Workshop
Selection
� Remote Monitoring
� Matching of specialists to maintenance activity
Workshopvs.
Mobile Teams
� Remote Monitoring
� Improved decision process for in service failures
WorkPreparation
� Efficient preparation of maintenance activities
� Root cause analysis based on failure and repair history
RepairAdvices
� Reduction of time slots in maintenance
� Easy failure identification
� Know-how transfer between stakeholders
Opt. Production
EnergyEfficiency
Monitoring
� Assess live energy consumption of the entire fleet
� Derive measures for energy consumption reduction
Benefits
DB Cargo AG | Mathias Thomas & Marcus Gössl | Asset & Maintenance Digitization | March 2017 |7
TechLOK (Functional) System Architecture
DB Cargo AG | Mathias Thomas & Marcus Gössl | Asset & Maintenance Digitization | March 2017 |8
Splunk Application - Fleet Summary of Alerts
About 900 locomotives
sending diagnosis codes,
status messages and time
series values in near-time to
TechLOK database
Fleet wide Summary of
triggered Alarms, Warnings
and information
DB Cargo AG | Mathias Thomas & Marcus Gössl | Asset & Maintenance Digitization | March 2017 |9
Splunk Application – User Group Fleet Management
Fleet Overview about
triggered alerts per
locomotive class & single
locomotive
Deep dive for failure
classification based on the
results of the Rule Engine
Advisory if & when a
locomotive needs to get to a
maintenance workshop for
repair works
DB Cargo AG | Mathias Thomas & Marcus Gössl | Asset & Maintenance Digitization | March 2017 |10
Supporting Root Cause
Analysis based on current
diagnosis messages and
historical failure date of the
locomotive
Access to additional data
concerning current
locomotive condition
Knowledge exchange between maintenance
workshop experts
Splunk Application – User Group Maintenance Workshop Experts
DB Cargo AG | Mathias Thomas & Marcus Gössl | Asset & Maintenance Digitization | March 2017 |11
Supervision of operational
system performance to
manage availability of
information from the
locomotives
Drive sensitivity of key
users – “what’s going on with
their babies”
Outlook for scalabilityof the system in line with
role out plan for the fleet
Splunk Application – Events delivered from the locomotive
DB Cargo AG | Mathias Thomas & Marcus Gössl | Asset & Maintenance Digitization | March 2017 |12
Splunk Application – Reporting of Energy Consumption
Reporting to identify
“bad” and “good” actor
locomotives as basis for in
depth analysis
DB Cargo AG | Mathias Thomas & Marcus Gössl | Asset & Maintenance Digitization | March 2017 |13
Splunk Application – Cluster Map: Reporting of Locomotive Reliability
Reporting tool for
analyzing the distribution
of diagnosis codes across
the fleet
Identification of failure
hot spots as well as
“bad” and “good” actor
locomotives
Comparison of specific
failures across the fleet
enable the development of
technical counter
measures
DB Cargo AG | Mathias Thomas & Marcus Gössl | Asset & Maintenance Digitization | March 2017 |14
Summary and Outlook
2017 2020
7,000 different
diagnosis codes /
status messages per
locomotive type 7 locomotives types and
900 locomotives60 different time series
values from sensor
per locomotive type Wagon Intelligence
with 9,000
freight carsPoC DB Regio
locomotives
16 locomotives types
and 2,000 locomotives
200 car types
and 70,000 freight carsAccess to data via
central locomotive
bus system (MVB) Interface to all relevant
internal IT Systems, e.g.
SAP ERPInterface to 3rd party
Applications, e.g weather
or BI-Tools Splunk as central
Big Data Platform
DB Cargo Assets
DB Cargo AG | Mathias Thomas & Marcus Gössl | Asset & Maintenance Digitization | March 2017 |15