The data is customized for your daily tasks, such as scheduling upcoming maintenance.
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Webinar, June 27, 2017
In the webinar held on June 27, Gerhard Kress, Head of Mobility Data Services Center at Siemens AG, talked about how to turn data into real value and so improve rail business. You can now watch the video recording on demand.
Railigent from Siemens Mobility Services empowers you to fully exploit your rail data and get more out of your systems. This new mobility platform maps the entire data journey from track sensor to smartphone. It then transforms the huge and diverse amount of data into an intelligent, customized user interface. From highly aggregated KPIs at the management level to a detailed root cause analysis for maintenance in the depot: targeted, role-specific information for operation and maintenance is derived from the same underlying data. Naturally safeguarded using state-of-the-art data security, monitoring technology, and protective mechanisms.
The value in data lies in putting it all together. For the future, that means we have to bring together all of our vehicle knowledge from the combined perspectives of operators, maintenance and manufacturers, to ensure the data is analyzed meaningfully.
Whether for the remote monitoring of your systems, fast diagnostics, or preventive failure prediction – our Digital Services are all based on Railigent. This mobility-specific platform uses the Siemens-wide architecture for industrial data analytics to provide standard tools for data processing, storage, and analysis.
Leading to greater availability, longer service life, and a higher level of maintenance and operating efficiency for all components.
Data transmission and processing
Railigent is connected to MindSphere, the cloud-based, open IoT (Internet of Things) operating system from Siemens.
Smart Data Analysis allows performance engineers to easily conduct reports for root-cause analysis and monthly reporting.
Rail transport is made more punctual, cost effective, reliable, and safe thanks to monitoring,
analysis, and predictive service concepts.
Intelligent data gathering, monitoring, and analysis are now the reality for prescriptive maintenance in the rail transport industry – and the success can be seen in the following sample references.
Transmission, axle bearing and motor temperatures, door power and air conditioning system data are transmitted continuously to the Mobility Data Services Center in Munich-Allach
Development of action patterns and recommendations for ÖBB Technical Services
Higher throughput with existing assets – without compromising on safety aspects
Rigorous data gathering and analysis –equipping all 26 trains with monitoring systems, e.g. for the engine and gearbox bearings
Database and predictive maintenance help ensure punctuality – only one departure more than 15 minutes late out of 2,300 journeys
Proportion of air and train passengers traveling between Madrid and Barcelona, which was 80:20 as recently as 2008, has almost turned on its head
115 new Desiro trains with 1,140 railcars and completely digital diagnostics chain – from the track to the two completely new depots
Highly efficient service processes in the two depots, including the integrated generation of work orders
Higher availability and reduced maintenance cost – thanks to improved plannability and shorter lead times for spare parts delivery
Would you like to learn more? For additional information about Railigent get in touch with our experts. They will be happy to assist you.