digital services in the mobility market: how to optimize value with co-creation … ·...

«Digital services in the mobilitymarket: how to optimize value withco-creation»

siemens.com/railigent

Intern © Siemens AG 2018Swiss Data Conference June 2019 Siemens Mobility Services

Agenda

1. Introduction

2. Internet of T (rains)

3. Railigent ® powered by MindSphere– the rail specific solution

and application suite

4. Co-Creation approach and Use Cases

5. Q&A


Introduction


Our portfolio – overview

Rail automation for passengerand freight transport

Automated fare collection

Rolling stock for urban andintercity rail transport

Regional and high-speed trainsand components for these trains

Digital service and maintenance

Power supply solutions forrolling stock and road vehicles

Railway turnkey projects

All elements required for theeffective control of urban traffic

Integrated, intermodalmobility solutions

Locomotives

Network Control

All components required forefficient interurban traffic


Mobility service market –10 key trends will shape the mobility service market

Mobilityservicemarket

Urbanization anddemographic change

Efficient operationand maintenance

Increasing demandfor data security

Cloud based servicesand virtualization

Automationof integrated transport

Improved assetutilizationand asset value

Increasingsystem complexityand interoperability

Limited budgetand increasingdemand

From Big Datato Smart Data

Guaranteedavailability


Digitalization is key to fulfilling customers' demand for availability,capacity, travel experience and for the intelligent road

• 100 percent availabilitypossible

• Smart data analyticsfor infrastructure andvehicle service

• Combining highvehicle/infrastructureperformance with best-in-class service andmaintenance

• Capacity increase of upto 50 percent in adriverless metro system

• Integrated resourcemanagement

• Software for next-generation train control

• Next-generation digitallyenhanced interlockings

• Intermodal salesplatform on apps

• Passenger informationand assistance systems

• Broadband andentertainment services

• Automated farecollection “be-in/be-out”

Guaranteedavailability

Optimizedcapacityprofiles

Enhancedtravelexperience

IntelligentRoad

• Sensor technologyenables autonomousdriving and intelligentmonitoring

• Road and parkinginfrastructures areused more efficientlyand safely


Getting more return from your rail assets –Imagine what can be possible...

• Rail vehicles today send between1 and 4 billion data points per year

• Rail infrastructure/signaling can send up to billionsof messages per year inside the system

• Additional data• Work orders/spare parts data• Operations Control System data• Advanced Vehicle Inspection data• Geographical data• Weather data• ...

The data available The challenge

Turndata

Intoinformation

And drive appropriateactions

Improve operationalavailability

Improveutilization

Reduce energyconsumption

Reduceoperational risk


Typical benefits resulting from Digital Services

Assetinvestment

Example Key Performance Indicator (KPI)

Asset utilization can lead to increased revenue(freight locomotive but also high speed)

Based on digital services maintenance can beoptimized (integrated services, condition basedand predictive maintenance)

Optimizing inventory cost by reducing inventory,reducing obsolete inventory and its carrying cost

Less material through condition based maintenance(scheduled)

Less manual effort to collectand analyze diagnostic data

Better asset utilization leads to reduced investmentin trains for overall fleet

Investment savings of 5 – 10%

Revenue increase of up to 5 – 10%

Maintenance cost decrease 5 – 10%

Inventory cost decrease 5 – 10%

Material cost decrease of up to 5%

Labor cost decrease of up to 5%

Lever

Assetutilization

Maintenancecost

Inventorycost

Materialcost

Laborcost


Internet of T (rains)


In such a world, we can create a wealthof new services for our customers!

Internet of things (IoT) means that everything is connected –This allows us to offer new services for our customers

Experts estimate50bln connectedobjects by 2020

... connectivity to the devices is essential

... we can know the condition of everyproduct or relevant component

... we can help customers gain more valuefrom their assets (improved availability,utilization, customer delivery processes)

... physical devices are connected to the internet, ...

... embedded with electronics, software,sensors and actuators, ...

... enabling these objects to collectand exchange data

Internet of things (IoT) means ... In such a world, ...


Technology partnering is requiredto deliver the full IoT stack!

In IoT it is important to provide the full value chain and technologystack to the customer

• Customer offerings require a fulland competitive IoT stack

• Not all elements are core and containspecific Mobility know-how

• Best in class technologies and IoTcompanies have to be selected aspartners for speed to market

The IoT value chain … ... requires cooperation with partners

Data transfer

Data integration

Data management/data storage

Data analytics models

Applications

User interface

Siemens

With partners

With partners

Siemens

Siemens

With partners

RDA


Siemens provides pre-integrated technologies as basis for thecustomer offerings

The Big Data Landscape

Siemens technology stack

• Modular architecturewith leading 3rd party technologies

• Pre-integrated technologies

• Components exchangeable

• Flexible design


Railigent ®powered by MindSphere– therail specific solutionand application suite


Railigent® covers the entire value chain – from data transmissionto analytics and provision of action proposals

Modular

Customized solution packages:Define reports as you need them

Scalable

From basic to advanced solutions:Upgrade your system as needed

Open

Fits into your environment:Standard interfaces ensure

interoperability

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Management

Dispatcher

Maintenance engineer

Data visualizationData evaluationData processingData transmission

Connectivity ToolboxRailigent Connect

Advancedalgorithms

Expertise domainKnow-how

Best practises

Secure data transmissionfrom sensor to centraldata storage

Powered byMindSphere – theunderlying IoToperating system

Railigent – the rail specific solutionand application suiteTurning data into value and enabling Digital Servicessolutions (Smart Monitoring,Smart Data Analysis and Smart Prediction)


Data analytics algorithms and peoplecreate the tangible value for our customers

Talent

Solution State-of-the-art solution

Secure data transfer

Siemens intellectual property,several patent applications

Data scientists

State-of-the-art algorithms

Domain experts

2Advanceddata analytics

1Data trans-mission andprocessing


Digital Platform/IoToperating system

Co-Creation

Domain know-how/vertical expertise

Transferring digitalization to the industrial spaceMindSphere Application Centers (MACs)

MindSphere Application Centers(MACs) for Mobility• Uniting data scientists,

app/SW developersand domain experts

• Working close to thebusinesses; co-creationwith the customer

• Developing solutions, applica-tions and services for globalmarkets and verticals

Data analyticscapabilities


MindSphere Application Centers for MobilityOur global network

EstablishedPlanned

Munich/Erlangen Moscow

Atlanta

DataServicesRussia 01/2017

DataServicesUnited States 04/2017

DataServicesAsia 2018

DataServicesGermany 10/2015

DataServicesAustralia 11/2017

DataServicesUnited Kingdom 2017

Perth

London


Co-Creation approachand Use Cases


Smart Data Analysis & prediction for electronic interlocking

• Smart prediciton for switches based oninternal data (e.g. toggle times) in order toavoid uncontrolled failure, forecasting up to8 hours

• Data analysis for interlocking internal buscommunication based on different kinds oftelegram quality to determine discrepanciesfrom different connected modules

• Smart monitoring for lamp signals to makecondition of lamp signals, connectioncable etc. visible

• Additional technical use cases andaddtional general information (eg. trackoccupation) are under R&D

• Above „smart use cases“ are under test andevaluation for an interlocking typ SIMIS C.

Bitte Screenshot einfügen

DB Netz(InterlockingBremen HBF)

Smart prediction forelectronic interlockingin order to avoidoperational delay. Noadditional sensors.


Smart Prediction – Case Study Door MonitoringAutomated monitoring of abnormal patterns for door cycles

Visualization of abnormal patternsfor door cycles

Use Case• The maintenance team wants to identify abnormally

operating doors in the fleet• These abnormalities indicate needs for checks or work

orders

Door Report• The door report shows abnormal currents and movements

using a traffic light logic• CMMS information is used for further evaluation of a

detected faulty door• Opening and closing cycles of all the doors of all vehicles in

a fleet get visualized

CMMS: Customer Maintenance Management System


Digitalization changes how we work, do business and interact


Customers and suppliers are experiencing high uncertainty in thedigital age


Co-Creation helps reduce uncertainty, serving as a pathfinder for ourcustomers in an digital age of uncertainty


Conclusion

Our applications in Railigent®Let our clients increase the availability of their assets by minimizing on-track failures

Smart Data environment and data expertsAre essential to prevent a data tsunami and ensure fast and efficient dataprocessing and analysis

Co-creation is keyCo-Creation helps reduce uncertainty and creates win-win situations with a rapidbusiness impact


Thank you!

Rubén André LorenzoHead of Sales Mobility Services

Hammerweg 18304 Wallisellen, SchweizMobil: +41 79 9513824Email: [email protected]

digital services in the mobility market: how to optimize value with co-creation … ·...

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