This document will continue to evolve as existing sections change and new information is added. All updates appear in the following table:
| Date | Product | Feature | Notes |
|---|---|---|---|
| 02 SEP 2021 | Created initial document. |
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The information contained in this document may include statements about Oracle’s product development plans. Many factors can materially affect Oracle’s product development plans and the nature and timing of future product releases. Accordingly, this Information is provided to you solely for information only, is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described remains at the sole discretion of Oracle.
This information may not be incorporated into any contractual agreement with Oracle or its subsidiaries or affiliates. Oracle specifically disclaims any liability with respect to this information. Refer to the Legal Notices and Terms of Use for further information.
New External Storage Options for Long-Term Data Availability and Analyses
Use one of the external storage options, namely Oracle Autonomous Database or OCI Object Storage, to safely and cost-effectively store your IoT sensor and analytics data for long-term persistence. You can choose to store raw or aggregated sensor data, and data related to analytics artifacts, such as metrics, anomalies, predictions, and trends. You can also use the historical data for visualization and analyses in external and third party applications.
Use the rich querying functionality in Oracle Autonomous Database, or chart and analyze the stored data in external applications, such as Oracle Analytics Cloud. For example, you can use analyses, projects, and dashboards in Analytics Cloud to find the answers that you need from key IoT asset data displayed in graphical formats. You can use applications such as Oracle Visual Builder to create dashboards and mashups.
Digital Twin View Enhancements
Digital Twin view enhancements include adaptive views and capabilities to filter and sort the sensor attributes for your assets and associated child entities.
The sensor attributes for your assets and associated entities appear category wise, by default. You can change the sort order to arrange attributes by name, or have the attributes with the latest updates appear on top. You can also filter the attributes list based on the attribute name or category.
If you have a large number of associated entities for an asset, say fifty or more, then the Digital Twin view automatically creates an additional column for the associated entities. You can conveniently select an associated entity from the column to view its sensor attributes in a separate column.
You can also choose to disable or re-enable Live Refresh in the Digital Twin view.
This document will continue to evolve as existing sections change and new information is added. All updates appear in the following table:
| Date | Product | Feature | Notes |
|---|---|---|---|
| 16 JUL 2021 | Created initial document. |
This guide outlines the information you need to know about new or improved functionality in this update.
DISCLAIMER
The information contained in this document may include statements about Oracle’s product development plans. Many factors can materially affect Oracle’s product development plans and the nature and timing of future product releases. Accordingly, this Information is provided to you solely for information only, is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described remains at the sole discretion of Oracle.
This information may not be incorporated into any contractual agreement with Oracle or its subsidiaries or affiliates. Oracle specifically disclaims any liability with respect to this information. Refer to the Legal Notices and Terms of Use for further information.
Create Asset State Aware Anomalies
Asset sensor values can depend on the asset state. For example, an idling motor has different vibration measurements from a motor running with load. Asset sensor values may also vary with the current process, product, or environmental attributes. For example, the baseline fuel consumption may depend on the ambient temperature. The injection pressure of a molding machine may depend on whether it is currently molding steel or aluminum bottles.
If the current asset state determines the threshold sensor values for your anomalies, you can use partition key attributes to partition your anomalies. For example, you can create partitions to look at vibration anomalies when the motor is working, and ignore states where the motor is idling, or under maintenance.
Create Anomalies Based on Multivariate Sensor and Metric Data
Sometimes, a set of correlated sensor signals can help identify issues with your asset. For example, a drop in pressure readings coupled with an increase in vibration may indicate cavitation issues in a pump.
Use multivariate automatic anomalies to monitor multiple sensor attributes and metrics simultaneously. Use the Operations Center to view the reported anomalies on the timeline, together with the key signals from your chosen sensor and metric attributes.