This document will continue to evolve as existing sections change and new information is added. All updates appear in the following table:
| Date | Module | Feature | Notes |
|---|---|---|---|
| 20 OCT 2023 | Created initial document. |
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Column Definitions:
Report = New or modified, Oracle-delivered, ready to run reports.
UI or Process-Based: Small Scale = These UI or process-based features are typically comprised of minor field, validation, or program changes. Therefore, the potential impact to users is minimal.
UI or Process-Based: Larger Scale* = These UI or process-based features have more complex designs. Therefore, the potential impact to users is higher.
Features Delivered Disabled = Action is needed BEFORE these features can be used by END USERS. These features are delivered disabled and you choose if and when to enable them. For example, a) new or expanded BI subject areas need to first be incorporated into reports, b) Integration is required to utilize new web services, or c) features must be assigned to user roles before they can be accessed.
| Ready for Use by End Users Reports plus Small Scale UI or Process-Based new features will have minimal user impact after an update. Therefore, customer acceptance testing should focus on the Larger Scale UI or Process-Based* new features. |
Customer Must Take Action before Use by End Users Not disruptive as action is required to make these features ready to use. As you selectively choose to leverage, you set your test and roll out timing. |
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|---|---|---|---|---|---|---|
| Feature |
Report |
UI or |
UI or |
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Use Intelligent Edge to Ingest and Process Data from Edge Devices |
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Use Intelligent Edge to Ingest and Process Data from Edge Devices |
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Use Intelligent Edge to Ingest and Process Data from Edge Devices
Use Oracle Intelligent Edge to seamlessly ingest and process data at the Edge. IoT Intelligent Applications let you perform all the set up, configuration, and management without having to write code.
Create and manage the Intelligent Edge node and Edge services from within your IoT application. The Intelligent Edge Node can run on premise, in close proximity to your devices. Use Edge services, such as MQTT and Modbus, to onboard your assets and machines for bi-directional communication. Edge services let you use standard protocol options, authentication mechanisms, and payload formats.
Ingest IoT data directly into your digital twin sensor attributes. Use control attributes to set the actuator attribute values for your IoT devices. Control attributes let you send data back from the digital twin to the actual device.
The Operations Center lets you monitor all telemetry data received from the Intelligent Edge nodes. Use Design Center to create advanced analytics on data received from the Edge nodes. You can then monitor these analytics artifacts in Operations Center. For example, you can perform predictive maintenance on your assets and monitor production line efficiencies.
Steps to Enable
You don't need to do anything to enable this feature.
Use Intelligent Edge to Ingest and Process Data from Edge Devices
Use Oracle Intelligent Edge to seamlessly ingest and process data at the Edge. IoT Intelligent Applications let you perform all the set up, configuration, and management without having to write code.
Create and manage the Intelligent Edge node and Edge services from within your IoT application. The Intelligent Edge Node can run on premise, in close proximity to your devices. Use Edge services, such as MQTT and Modbus, to onboard your assets and machines for bi-directional communication. Edge services let you use standard protocol options, authentication mechanisms, and payload formats.
Ingest IoT data directly into your digital twin sensor attributes. Use control attributes to set the actuator attribute values for your IoT devices. Control attributes let you send data back from the digital twin to the actual device.
The Operations Center lets you monitor all telemetry data received from the Intelligent Edge nodes. Use Design Center to create advanced analytics on data received from the Edge nodes. You can then monitor these analytics artifacts in Operations Center. For example, you can perform predictive maintenance on your assets and monitor production line efficiencies.
Steps to Enable
You don't need to do anything to enable this feature.
Automate Manufacturing Execution Through Bi-Directional Communication with Industrial Equipment and Robots
Oracle Manufacturing Cloud and Production Monitoring let you automate your manufacturing workflows with robotic and automation equipment.
You can now define a resource as automation equipment in Manufacturing Cloud. This lets you associate a program file with the operation resource. When you run the associated operation in a work order, Production Monitoring lets you monitor the operation status real-time with contextual telemetry and transactional data from the automation equipment. The Operations Center Digital Twin view for the machine shows details such as work order, operation, execution details, status, and automation program name and version.
Production Monitoring updates the production completion status in Manufacturing Cloud. In case of program execution failure signals from the automation equipment, Production Monitoring creates a production exception in Manufacturing Cloud. The production operator has options to halt the production cycle, or to unlock a production equipment after issues are resolved.
Steps to Enable
You don't need to do anything to enable this feature.