SplunkLive! Frankfurt 2017 - DB Cargo

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


Program Asset & Maintenance Digitization


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


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


TechLOK (Functional) System Architecture


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


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


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


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


Splunk Application – Reporting of Energy Consumption

Reporting to identify

“bad” and “good” actor

locomotives as basis for in

depth analysis


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


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


SplunkLive! Frankfurt 2017 - DB Cargo

Technology

Transcript of SplunkLive! Frankfurt 2017 - DB Cargo