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Another common IoT scenario is anomaly detection within a machine, device or process. These detections often trigger various actions, such as notifications, systems updates, machine execution updates and manual work orders.

In this example, the anomaly detection notifies a software engineer and updates the maintenance system with a work order:

  1. Use algorithms to identify unexpected or abnormal data signatures
  2. From simple threshold conditions to machine learning
  3. Define triggers based on data to initiate actions, locally or externally, e.g:
  4. Trigger an action or change in another machine
  5. Notify an engineer 6. Initiate a work order in an ERP system

Introduction to Anomaly Detection at the Edge

Free on-demand webinar

Introduction to applying Anomaly Detection at the Edge. During this 30 min session, Crosser CTO, Goran Appelquist Ph.D. will introduce you to designing a functional IOT data flow for industrial usage within Crosser Flow Studio.

Level: Intermediate
Time: 00:43:22

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  2. Log in and start designing your flows in the sandbox
  3. Download the Crosser Container to your local test node
  4. Test with real data