Data validation using advanced analytics for SBB rail infrastructure
Scigility helped SBB to further develop the data collection and validation for analyzing the condition of the rail network using advanced analytics.
Challenge
The SBB maintains a permanently growing track system with currently about 3200 kilometers that transports 365 million people and over 48 million tons of freight per year. Such a track system must constantly be serviced and monitored. For this task, the SBB uses special measuring trains with various sensors that are able to assess the condition of track sections with diagnosis journeys.
Solution
SBB uses advanced analytics, AI/ML and Data Lake technologies to improve their existing software and services and to create new, innovative data products.
Scigility delivers a software solution that allows for the data collected during the measuring trips to be made plausible and possible erroneous data to be corrected. It especially permits the integration of DSL-Scripts, so that the track experts from SBB can concentrate on their main competencies and the analysis of the data can be processed more efficiently. The value add for SBB is a reduction of “false alarms” leading to follow-up inspection of tracks where in reality there are no issues.
Used Methodology
We look forward to speaking with you.
Do you have questions about a case, would you like a quote, or to get to know us better?
Or are you a data scientist, an awesome coder or a passionate engineer searching for a brilliant team and cool challenges?
Regardless of what you need, we're here for you.
Scigility Switzerland AG
Europaallee 41
8004 Zürich, Switzerland
+41 44 214 62 89
contact@scigility.com
Our Memberships
