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Angel Trains is one of Britain’s leading train asset management companies. Around 10 years ago they embraced PowTechnology’s IIoT kit to help define what normal train operating scenarios were, in order to identify anomalies and assist customers with strategic decision-making. The objectives were to extend asset longevity, eliminate unscheduled maintenance, reduce costs and to improve passenger safety and comfort.
Sensor data is now collected regularly and reliably on a range of parameters including exhaust, coolant, oil and charge air temperatures, saloon temperature, humidity and CO2 levels, fuel and effluent tank levels. Alerts are generated, so timely action can be taken to minimise issues.
Economies can be driven by understanding and modifying processes to avoid issues. It is now possible to use data as a basis for strategic decision making, enabling Angel to differentiate themselves from competitors.