It’s been nearly 200 years since trains became a major force in moving people and freight across long distances. While vast improvements have been made in the engineering of both trains and track, some of the fundamental challenges remain the same.
Traditionally, collecting train data has involved intermittent connectivity, a mix of legacy systems, data silos, and batch processes that typically happen only when the train is in the service yard. Turning that data into valuable insights is difficult when it’s not available or designed to be acted on in near-real time.
EdgeLINC, an IIoT platform for transportation, is solving the device and data connectivity challenge.