Deployment facts
Context
Results
The operating reality
Since 2012, Oc'via has held a public-private partnership with SNCF to build and maintain the CNM, France's first mixed high-speed and freight rail bypass between Nimes and Montpellier. Oc'Via Maintenance, responsible for the line's track, catenary, signalling, telecommunications, buildings and structures through 2037, used an inspection wagon (the WIN) to monitor track geometry, but frequent WIN recordings were costly and the wagon could only measure defect values without revealing their root cause.
What KONUX deployed
Oc'Via Maintenance partnered with KONUX to complement its WIN inspection regime with continuous track monitoring. KONUX IIoT devices were installed on the tracks in two of the CNM's most problematic areas. By correlating sudden changes in tilt data from the sensors with contextual events between WIN passages, KONUX was able to help pinpoint the events causing geometry defects, rather than only their measured symptoms.
What changed
Oc'Via Maintenance had hypothesized that a track-geometry issue stemmed from rising groundwater levels; cross-referencing KONUX's continuous tilt data with precipitation, temperature, and traffic-change metrics let the team factually support that hypothesis. Based on this project, KONUX and Oc'Via Maintenance estimate that reliably identifying and resolving the root cause this way could save around three tampings (track-realignment maintenance actions) per problem area per year, and that continuous monitoring could maintain track quality without increasing WIN inspection frequency. This is presented as a project-based estimate rather than an audited multi-year saving, and KONUX states it has since launched further research to extend the geometry-health-monitoring use case.