Brief results of the collaboration:
The company is the biggest rail builder and one of the largest construction and maintenance service providers in Finland. Founded in 1995, the organization has offices in six cities and employs 2,500+ people.
When the customer turned to Altoros, it had a legacy system for railway switch life cycle management. With no analytic capabilities, it was impossible to monitor parameters key to switch maintenance.
Collaborating with Altoros, the customer wanted to enable data-driven analytics and ensure predictive maintenance.
Under the project, the team at Altoros had to address the following issues:
Engineers at Altoros enabled the system to accommodate all the variations of conventional names coming from multiple sources and identify the switch those names were associated with.
By integrating a data mining tool that scrapes through 12,000 text documents and extracts the relevant data, our developers ensured proper cargo weight calculations.
Based on the information received from the governmental traffic management system, experts at Altoros made it possible to track each train passing through the switches and their routes.
Using ArcGIS, the team at Altoros developed a module responsible for extracting train data (type, number, etc.) from available sources. With QGIS, our engineers visualized this data in a dashboard. Furthermore, developers at Altoros delivered a dashboard view of a switch maintenance status with a detailed report of key parameters monitored.
Cooperating with Altoros, the customer developed the first of the kind solution in Finland to manage railway switch life cycle. Through enabled analytics, the system ensures predictive maintenance across 2,420 railway switches in 4 regional areas.
Microsoft Azure, vSphere
Frameworks and tools
Microsoft.Maps.SpatialMath, ArcGIS, QGIS, PostGIS