Tier 3 - Cloud (IIoT application, data, and analytics)

IIoT data that has been digitized and aggregated is sent to the Cloud for storage and further processing using analytics. Finally, IIoT cloud apps enable the user to visualize insights about the IIoT devices and enable the user to apply specific workflows. Once the data is sent to Cloud, the primary concerns are as follows:

• Securely ingesting and storing the data. Typical IIoT storage includes a time-series data store and storage of asset models and alerts output of analytics.
• Processing data using various different types of analytics such as predictive, physics-based, threshold-based, streaming or deep learning analytics to determine the health and insights about the IIoT device.
• Building IIoT applications that can enable the end user to do the following:
  • Visualize the health of the IIoT device using dashboards and charts
  • Interact and process events such as, alerts, alarms, and so on, from analytics using specific workflows

In the following sections, we will go over IIoT cloud application design using microservices, storage options of data in the Cloud, and finally go over different types of analytics.