Digital Services Restricted Siemens AG 2017 siemens.com.cn/ingenuityforlife
Mobility service market 10 key trends will shape the mobility service market Urbanization and demographic change From Big Data to Smart Data Automation of integrated transport Efficient operation and maintenance Guaranteed availability Mobility service market Improved asset utilization and asset value Limited budget and increasing demand Increasing demand for data security Cloud based services and virtualization Increasing system complexity & interoperability Page 2
How Siemens helps to generate insights from data 1: Data collection 2: Advanced data analytics 3: Validated action proposal 4: Action implementation Detection and prediction of failures Hotline Action performed by field-service experts Secure data transfer Alarm Analysis by experts Critical value Cross-project experience Optimization of Spare-Parts usage Customer reports RDA Data Services Rail Support Center Customer Page 3
A common data policy + Railigent Smarter rail assets management Page 4 Customer Data input Big data from assets Siemens Data analytics Algorithmic processes Customer and Siemens Data output Smart data generated by Siemens Experts Data transmission Railigent Connect Secure data transmission from sensor to central data storage 01 10101 0 110 1 0 0 0 1 0 0 1 0 1 1 1 011010 0 0 0 111 1 1 0 0 1 1 1 0 0 0 1 1 0 0 1 1 0 1 0 0 1 1 1 0 1 1 0 1 0 110 1 0 1 0 1 0 1 1 0 1 0 0 0 1 1 01 10 10 1 01 0 1 1 0 1 0 1 0 1 1 0 1 0 0 0 1 1 Data processing Data evaluation Railigent 001001011 0 11 0 10 1 0 10 1 0 10 1011010111 10 1 0 1 1 0 1 11 0 1 11 011001111 Turning data into value and enabling Digital Services solutions (Smart Monitoring, Smart Data Analysis and Smart Prediction) Advanced algorithms 01110 001001011 11010 Expertise domain Know-how Best practises Data visualization Management Dispatcher Maintenance engineer * Railigent is the mobility platform for Siemens Digital Services, enabling better rail asset management for greater availability, reduced operational risks and costs, and prescriptive maintenance.
Siemens Digital Services Portfolio Digital Services Smart remote monitoring and data services for maximum reliability Identifying faults before they occur. Or, when they occur, rectifying them swiftly so that rail traffic keeps moving. That is what we ensure with our extremely efficient services. Worldwide. Portfolio Element Description Smart Monitoring Automatic data visualization offering full transparency and fast troubleshooting Smart Data Analysis Efficient root cause investigations Smart Prediction Algorithms for preventive fault analysis Smart Security Ensuring sustainable IT security for rail systems Smart Guidance Remote support for rolling stock and rail infrastructure our experts are always accessible for you Page 5
Smart Monitoring Automatic transmission of secured data Data transmission : Use case data collection Current scenario Manually extracted data from the train is fed into the system while the vehicle is in the depot Smart Monitoring scenario Data transmission Data from the vehicle is sent automatically to a central location (securely and on-time) Smart Monitoring Data from train required Data from train required Go to train and collect data Local identification of failures with local diagnosis software (Expert Viewer ) Go to office and transfer data Data available remotely Data is available Central identification of faults with local diagnostic software (Expert Viewer ) Page 6
Siemens Customer Smart Data Analysis Automatic reporting to generate preventive recommendations Technical architecture Data and Experts Optional manual data download Data collection 1 Raw data Status overview and standard reports 5 Web interface User Secure data transfer Smart Data Analysis Back-office interface 3 2 Data hub 4 Short-term analysis Diagnosis status Reporting Data warehouse Short-term database Long-term analysis Hotline Analysis by experts Create rules Create customer reports 1 Data flow + number Optional Regular exchange of information Page 7
Smart Prediction Advanced data analytics models to guarantee customer value creation Data Problem: Prediction of rare events Insights Data mining/machine learning State of the art algorithms Own Siemens IP Innovative analytic approaches Deep domain know how Engineering knowledge System simulation results Design expertise Validated action proposal from domain experts Page 8
Smart Security Siemens service for sustainable protection of IT security in rail systems Assess Implement Monitor IT security training Threat and risk analysis IT security implementation Continuous monitoring of IT security IT security training Assessing current IT architecture Identifying of threats and vulnerabilities Evaluating risks Implementing measures, e.g. hardening systems, optimizing processes, implementing IT security systems considering safety regulations Continuous monitoring of IT security status Proactive threat reporting Support in case of IT securityrelated events Standardized trainings, e.g. web-based trainings Customer-specific trainings Elaborate concepts for improving IT security Optional: Penetration test: Practical testing of IT security by simulated attacks/hacks Page 9
Smart Guidance Fast and Reliable with three levels of standard service delivery structure Customer Customer or Siemens Depot/Field Service Siemens Support Center Siemens product & system experts Solution Solution Solution Customer Operations Customer Field Service or Siemens Field Service SC-RS/ SC-MMF Product & System Experts Problem Escalation Escalation Siemens Support Levels Support level 1 Performs preventive and corrective on-site maintenance Support level 2 Answers to operation and maintenance related queries Conducts remote fault analysis and manages the troubleshooting process Support level 3 Product experts from R&D, System Test and Engineering, providing HW/SW corrections and performance improvements Page 10