Downer EDI Limited has launched a new Microsoft Azure-based platform to reduce maintenance times for Sydney Train’s fleet of Waratah trains.
The platform, dubbed TrainDNA, is used to analyse 30,000 real-time data signals that Downer receives from each train every ten minutes.
The data is collected using the more than 300 IoT sensors and 90 cameras positioned throughout each train.
Using Microsoft's analytics and machine learning tools, Downer’s engineers can make sense of the data.
Passengers also benefit through increased on-track time for the fleet.
The central nervous system in action, providing insights to the train driver before data is sent to Downer and Sydney Trains.
But even “trains with brains” will need maintenance, and TrainDNA aims to help Downer move from periodic to predictive maintenance.
It could even help the company get more out of its Auburn Maintenance Centre as the fleet of Waratah’s continues to grow.