GE Bestows Its Trains With Brains

The existence of Internet of Things (IoT) and Industrial internet depends solely on connectivity. That extends from specific machinery is a facility to vehicles that move across supply chain. There are numerous companies that are working in the direction of interconnected industry and GE happens to be just one organization out of so many. The firm recently expanded the boundaries of its Predix Software Platform that has a new aspect that focuses on trains through a central processing brain that keeps them all together.

Called as the GoLINC system, this one enables trains to get in touch with each other through Predix-supporting systems and devices that ensure safe storage of all data. Along with, these also maintain control over all onboard locomotive’s sensor data that represents present condition of train. The main objective of this exercise if to keep a check on proper working of all train parts leading to better efficiency of trains all over the world. GE’s Predix platform actually works like a gateway that collects data from all sides of the connected industry and providers meaningful information to all who need to use it.

Whenever the train sensors realize a big failure or problem in any part, it alerts the complete crew. It also sends notification to the trainyard that a replacement waiting locomotive may be needed soon. The new train will have all recent and previous information required to carry on the journey of train it replaces, so the need for manual handwritten logs, locomotion information, or shipping manifests is eradicated completely. This results in less time, less effort, and higher efficiency of complete system leading to better value for resources you placed for the job.

According to the GE transportation president and CEO, Jamie Miller, “Our partnership delivers the most advanced connectivity across the rail industry to create a smarter rail ecosystem. It enables operators to transfer data, host applications and interface with third-party systems, and can boost operational productivity.”