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Case study: Downer EDI implements Azure IoT to support predictive train maintenance – Which-50
Integrated services company Downer EDI has deployed a Microsoft Azure intelligent solutions which ingests sensor data from a fleet of Waratah trains in Sydney to allow predictive maintenance and data-driven decision making.
Each train is equipped with over 300 sensors and around 90 cameras. Every ten minutes 30,000 signals are sent from the train to Downer, which holds a 30-year contract with the NSW Government to manage and maintain the existing fleet of 78 trains.
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