Multi-Source Infrastructure Management creates a clear basis for decision-making.
Only the combination of measurement data, a route model and maintenance history reveals where action is genuinely required and where targeted measures are effective.
A practical example illustrates the importance of this. Measurement data had been collected for years on a heavily used network. The measures derived from it remained isolated, and at times even large-scale renewals were under consideration.
Only when the data was linked with the route model and maintenance history did a differentiated overall picture emerge. It showed that certain measures had been successful but had not been continued consistently. Instead, lower-cost alternatives had been used without any directly visible, lasting improvement.
The challenge was solvable, but this only became apparent when the data was brought together so the full picture was visible. The decisive factor is therefore not individual measurement, but its context.
The track model as the central foundation
Added value is created by combining different data sources along a common georeferenced track model. This provides the basis for assigning all information unambiguously.
This is where the Rhomberg Sersa Rail Group comes in: it creates the foundation on which data can be compared and used – an often-underestimated step with a major impact.
On this basis, condition data, master data and maintenance data can be consolidated and compared in the IRISSYS© analytics platform. Individual measurements are transformed into a consistent overall picture and therefore a robust basis for well-founded decisions. The more systematically the data is linked, the clearer the development becomes.
Users can then move away from describing the current condition and towards assessing future developments and planning predictive maintenance. The database being created today is the prerequisite for this.
Conclusion
Better decisions are made when data is linked and placed in the right context. This is precisely where modern infrastructure management begins – and precisely where the Rhomberg Sersa Rail Group delivers added value.
Facts
Multi-Source Infrastructure Management
- Basis: georeferenced track model as a shared data foundation
- Function: integration of measurement, infrastructure, operational and maintenance da
- Benefit: clear decision-making basis for targeted and predictive
maintenance
