The typical domainof IIoT applications is manufacturing and production. Here the focus is on optimizing installed assets, especially to increase efficiency and availability. The ultimate goal is to predict future asset behavior based on historical data – often described as predictive maintenance or asset health monitoring. The majority of today’s assets in processing plants already deliver much more information than just a single process value. This additional information can range from more process values to self-diagnosis about the asset’s health or even the prediction, based on internally diagnosed device parameters, of potential problems that might occur in the near future.
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