Optimizing maintenance for rail assets is essential for delivering a safe, reliable, and profitable rail network. Having accurate information about your rail assets is a crucial part of a predictive maintenance decision support environment.
Our solution combines asset condition data with environmental, financial, and design data for you to understand the state and operating condition of key rail assets to improve the overall integrity and safety of your rail network.
A common data environment for railway maintenance decision support allows you to proactively manage your railway assets based on current and historical track and rail asset data. You can combine asset condition data with environmental, financial, and design data to understand both the state of the assets and how they are deteriorating over time. Budget, resources, and access constraints can be reviewed visually along with the predicted deterioration of the asset and the impact of asset failure on the overall system. This allows you to improve the effectiveness of maintenance work planning.
Our Predictive Maintenance solution combines current and historical rail asset data. This is presented in linear, thematic track charts. You can also interactively reference more than 200 types of railway asset data, including track layouts, curves, track elements, planned work, work history, events history, rail defects, maintenance zones, area zones, track category, and mileposts.