Oracle by Example brandingTrack Machine Conditions in an Oracle IoT Production Monitoring Cloud Service Application

section 0Before You Begin

This 15-minute tutorial shows you how to track machines, their conditions, and their needs in the Oracle Internet of Things (IoT) Production Monitoring Cloud Service application, as a factory manager.

This is the second tutorial in Quick Start Tutorials for the Oracle IoT Production Monitoring Cloud Service Application. Read the tutorials sequentially.

Background

Vision Corp.,, a manufacturer of tablets and smartphones, has implemented the Oracle IoT Production Monitoring Cloud Service application to improve the yield, quality, and reliability of the products that are manufactured in the factory. The machines in the factory are the display picker, glue dispenser, and display mounter. The application is configured to detect anomalies, trigger incidents, display the historical and current values of the sensor data, and display the status of the incidents.

In this tutorial, you use the Oracle IoT Production Monitoring Cloud Service application to track the machines in the factory. You create a rule, manage the incidents, define an anomaly, and view the occurrences of an anomaly. The Oracle IoT Production Monitoring simulator application generates data about the machines.

What Do You Need?

section 1Configure a Rule

A rule in the Oracle IoT Production Monitoring Cloud Service application can trigger an incident, alert, or a warning when a specified condition causes a production issue. In this section, you create a rule for the glue dispenser machines to trigger an incident when the viscosity value falls below a specific number.

  1. Sign in to your instance of the Oracle IoT Production Monitoring Cloud Service application.
  2. Click Menu main menu icon, and then click Rules.
  3. On the Rules page, click Create New Rule create new icon.
  4. On the Create New Rule page, in the Details section, enter or select the following values:
    • Name: Glue Viscosity Incident
    • Apply to: Machine and SF_Factory_GlueDispensing M1, SF_Factory_GlueDispensing M2, SF_Factory_GlueDispensing M3
  5. In the Condition section, select the following values:
  6. sensor/glue_viscosity, Less Than, and 90
  7. In the Fulfillment section, select the following values:
    • Fulfill when: All Conditions Apply
    • Generate: Incident
  8. In the Incident Details section, enter or select the following values, and then click Save:
    • Summary: Viscosity of the glue is less than 90
    • Type: Outage
    • Priority: High

section 2Track and Manage Incidents

On the Oracle IoT Digital Twin Simulator - Production Monitoring application, in the Tablet Factory model, if you raise an event for SF_Factory_GlueDispensingM2, then it sends an anomalous viscosity data to the Oracle IoT Production Monitoring Cloud Service application. As a result the Glue Viscosity Incident rule triggers an incident. In this section, you track the incident and manage it.

  1. Click Menu Menu icon, and then click Rules.
  2. On the Rules page, notice that the Glue Viscosity Incident rule is listed and the Activity field displays one incident.
    Rules page
    Description of the illustration rule.png
  3. Click Menu Menu icon, and then click Incidents.
  4. On the Incidents page, notice that the value in the Status field is New, and the value in the Summary field is Viscosity of the glue is less than 90.
  5. To manage the incident, beside the summary of the incident, click Edit Edit icon.
  6. On the Edit Incident page, identify the name of the machine that generated the incident. In the Add Comment text box, enter Started work on the machine, and then click Add Comment Add Comment icon. Your comment is added with a time stamp.
  7. Click Save, and then click Back. A technician resolves the issue with the machine.
  8. After the technician resolves the issue, on the Incidents page, for the same incident, click Edit Edit icon.
  9. On the Edit Incident page, in the Status drop-down list, select Withdrawn.
  10. Click Save, and then click Back.

section 3Configure an Anomaly

Anomalies let you identify unusual activity in your machines. In this section, you define a metric-based anomaly in the Oracle IoT Production Monitoring Cloud Service application to detect machines that are down.

  1. Click Menu Menu icon, and then click Configurations.
  2. Click the Anomalies Anomalies icon tab, and then on the Anomalies page, click Add Add icon.
  3. On the Configure New Anomaly page, enter or select the following values:
    • Name: Machines Down Anomaly
    • Description: Anomaly to detect machine down event
    • Machine Type: All Factories
    • Attributes: Total Machines Down
    • Specimen Factory: SF Factory
    • Training Window: 1 day
    • Deviation Percentage: 2
  4. Click Save, and then click Publish/Republish. The Publishing KPI metrics...Pending message is displayed. Wait until the message changes to Activated.
  5. To return to the Anomalies page, click Back.

section 4View Anomalies

In this section, in the simulator application, you generate an anomalous event by shutting down a few machines, and then you track the occurrences of anomalies in the Oracle IoT Production Monitoring Cloud Service application.

  1. Sign in to the Oracle IoT Production Monitoring Simulator application at https://your Oracle IoT Cloud Service instance name/pm-sim.
  2. On the Production Monitoring Dashboard page, click Tablet Factory.
  3. On the Tablet Factory Model page, click SF Factory.
  4. On the Factory: SF Factory page, notice that the state of the machines is In Use. Click Down for two display picker machines and one glue dispenser machine.
    factory simulator page
    Description of the illustration down.png
  5. Sign in to your instance of the Oracle IoT Production Monitoring Cloud Service application.
  6. Click Menu Menu icon, and then click Map. Zoom in to San Francisco and click SF Factory SF Factory icon.
  7. On the SF Factory page, click the Anomalies Anomalies icon tab. From the Time Window drop-down list, select Last 7 Days.
  8. Notice that the total count of the occurrences of the anomaly is displayed, and the graph shows the anomalies as vertical lines. To view the time stamp and the values for an anomaly, move your mouse over a vertical line on the graph.
    Anomalies page
    Description of the illustration anomaly.png
  9. To move to the next time slot and view the values of the anomalies, click Next Next icon.
  10. To return to the map view, click outside the SF Factory page.

next stepNext Tutorial

Monitor Factory Operations in an Oracle IoT Production Monitoring Cloud Service Application

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Diagnose Production Issues and Understand Factory Performance