Oracle® Cloud

Known Issues for Oracle IoT Production Monitoring Cloud Service

Release 19.3.2

E83167-13

August 2019

Known Issues for Oracle Oracle IoT Production Monitoring Cloud Service

Learn about the issues you may encounter when using Oracle IoT Production Monitoring Cloud Service and how to workaround them.

Supported Browsers

Oracle IoT Production Monitoring Cloud Service supports the following the minimum requirements for web browsers:

Web Browser Version
Microsoft Internet Explorer 11 and later
Google Chrome 29 and later
Mozilla Firefox 24 and later
Apple Safari 7 and later

Duplicate Routing Task Names May Be Present

IOT-62280: If you are using Oracle Fusion Manufacturing Cloud Service integration, then you may see duplicate routing task names in Oracle IoT Production Monitoring Cloud Service work orders.

Workaround: None.

Modifying Routing Task Names Created by the Simulator Leads to New Factory Creation Failure

IOT-61925: After creating a simulated factory using a built-in or custom template, you should not subsequently modify or delete the following entities:
  • Routing tasks created by the simulator.
  • Device references for a machine type.
  • Device simulator.
  • Device models used by the simulation model.
This may result in failures to create new simulated factories for the affected simulation model.

Workaround: You can modify the entities back to their original values, and the simulator should be able to create a new factory for the model.

Factory Creation Fails If You Have Duplicate Routing Task Names for a Product

IOT-62019: The routing task names must be unique for each product ID in the factory. Also the routing task names must be unique within the same routing.

Factory Creation Fails If You Have Unassociated Routing Tasks in the Simulated Factory Model

IOT-62069: Your factory simulation model must not have any routing tasks without assigned machines. If you create routing tasks without associated machines, you get an exception when trying to create a factory using the model.

Create a Trend Only after Activating the Sensor

IOT-58813: When creating a trend for a machine type attribute, make sure that the associated sensor has already started sending data. If you create a trend without any existing sensor data for the machine type, the training model fails with the following error: Not enough training data.

Workaround: Create the trend after the sensor data is activated.

Blank Screen May Appear After Logging Out of the Application

IOT-59107: After logging out of the Oracle IoT Production Monitoring Cloud Service application, a blank screen might appear in place of the Oracle Identity Cloud Service screen or log-in screen.

Workaround: Please reload the URL.

Re-Create Old Custom Code Metrics in 18.4.5

IOT-56700: The new ability to use dynamic data links in Oracle Internet of Things Cloud Service implies that the existing links in user-defined code are not backward compatible. You can now point to generic application objects, as opposed to primitive or complex application objects. Simplified APIs or methods let you access data from snapshots, sensors, core attributes, and metrics. See examples provided with the custom code scaffolding template that is generated when creating custom code metrics.

Python Custom Code Metrics/KPIs May Fail to Publish in 18.4.5

IOT-56700: Python custom code re-publish may fail in 18.4.5.

Workaround: None.

Some Factory Details Cannot Be Reset

IOT-56872: If you try to edit the following factory fields to delete their values, the values persist after the edit operation:
  • Description
  • Address
  • Manager Contact

Workaround: You can edit these fields to change their current values.

Sample Analytics Cloud Project Contains Oracle IoT Asset Monitoring Cloud Service Artifacts

IOT-57656: The sample Oracle Analytics Cloud project available under Integrations on the Settings page makes use of Oracle IoT Asset Monitoring Cloud Service artifacts.

Predictions Based on Global Entity Type Metrics Are No Longer Supported

IOT-56493: Starting in 18.4.1, predictions cannot be based on global metrics (KPIs) that are defined for entity types. If you have such predictions defined in 18.3.5, these predictions will not work.

Rules Can Become Invalid if Associated Sensor Attribute Is Deleted

IOT-56782: Rule threshold predicates may contain sensor IDs and metric IDs. When a sensor attribute is deleted, the corresponding rules become invalid.

Metrics Computed Across Entities Cannot Be Used in Rules

IOT-46248: You can create computed metrics across entities, but you cannot use these as rule conditions. Rules currently do not support aggregated evaluation on an entity type.

Rules Cannot Be Based on Business Object Attributes Alone

IOT-47891: You can create a rule based on a regular entity attribute, such as state or factory. However, you must add at least one message, sensor, alert, or location condition for the rule to be successfully triggered.

Map View Factory Metrics May Count Factories Without Geolocation

IOT-47782: As the factories imported from Oracle Manufacturing Cloud do not have geolocations associated with them, you might see these factories included in the Factory Metrics ribbon after integrating with Oracle Manufacturing Cloud.

Workaround: Zoom in or out in the Map view to update the number of factories shown in the Factory Metrics ribbon.

Importing the Production Monitoring Application Fails

IOT-44598: If you export the Production Monitoring application from the Management Console in Oracle Internet of Things Cloud Service and then you import the exported file, it fails.

Workaround: None.

Deleting Device Models Isn’t Supported

IOT-44710: Don’t delete device models that you are using in Oracle Internet of Things Cloud Service. If you delete them, the deployment of the application may fail.

Workaround: None.


Oracle Cloud Known Issues for Oracle IoT Production Monitoring Cloud Service, Release 19.3.2

E83167-13

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