Data-driven asset management is critical to balancing system capacity with efficiency, asset longevity, and risk.

As a major element of infrastructure, railroads are critical to supporting sustainable economic growth. Rail networks have led the way in providing reliable, fast and carbon-efficient passenger and freight transport. However, population growth, increased mobility, and accelerated urbanization are significantly increasing rail traffic without substantial extensions of rail infrastructure. Over the past ten years, for instance, EU rail networks have seen a 10% growth in passenger traffic without a comparable increase in track or unit numbers, suggesting that rail managers have to increase the number of runs trains make across a relatively fixed network.

For a network whose safety and performance depends on coordinating millions of data streams, a collection of isolated point solutions can inhibit holistic network management. By creating an endto end data infrastructure, the OSIsoft PI System connects disparate information sources to achieve integrated, network-wide operational visibility. Intuitive visualization and analysis tools combined with the PI System’s pervasive connectivity gives users the power to focus on targeted initiatives like conditionbased maintenance as well as broader initiatives such as managing capacity, energy conservation and system interoperability.


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