Oracle by Example brandingMonitoring Assets in an Oracle IoT Asset Monitoring Cloud Service Application

section 0Before You Begin

This 15-minute tutorial shows you how to monitor assets in the Oracle Internet of Things (IoT) Asset Monitoring Cloud Service application as an asset manager of an enterprise.

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

Background

An airport has implemented an Oracle IoT Asset Monitoring Cloud Service application to monitor and manage its movable and fixed location assets. The tracked assets are rubber cleaning machines, HVAC units, generator units, and runway sweeping machines. The application is configured to locate assets, trigger incidents and alerts, display the historical and current values of the sensor data, and display the status of the incidents.

In this tutorial, you create and use key performance indicators (KPIs) in the application to monitor a runway sweeping machine and predict its maintenance needs.

What Do You Need?

section 1Create a Key Performance Indicator

You create KPIs at the map view, asset, or dashboard level. In this section, you create a custom KPI at the asset level for the engine temperature of the runway sweeping machine.

  1. Sign in to your instance of the Oracle IoT Asset Monitoring Cloud Service application.
  2. Click Menu main menu icon and then click Map. In the Asset Search asset search icon. field, enter Runway Sweeping Machine 1 to find the asset in the geo-boundary of your place.
  3. On the map, click the Sweeping Machine sweeping machine icon. icon, which represents the Runway Sweeping Machine 1 machine.
  4. On the Runway Sweeping Machine 1 page, click Configure metricsconfigure metrics icon. Click create new icon in the placeholder.
  5. On the Create Metric page, enter or select the following values and click OK:
    • Type: Attributes
    • Attribute: engineTemperature
    • Label: Engine Temp
    • Unit: F
    • Unit: Light Green
  6. On the metrics bar, notice the Engine Temp metric, and then click Save.
    engine temp KPI
    Description of the illustration kpi_engine_temp.png

section 2Monitor KPIs and Sensor Data

In this section, you monitor the Engine Temp KPI and the sensor data of the runway sweeping machine.

  1. On the Runway Sweeping Machine 1 page, look at the latest value of the Engine Temp KPI.
  2. On the menu bar, click Sensors.
  3. To monitor the change in the Engine Temp KPI, in the SENSOR ATTRIBUTES list, select engineTemperature, and then review the graph.
    Graphical data of the engineTemp attribute.
    Description of the illustration sensor_data.png
  4. In the SENSOR ATTRIBUTES list, select engineVibrations. In the Duration list, select Last 7 days. Review the graph that displays historical data for both attributes.

section 3Create a Pattern Based Anomaly

An anomaly helps you to identify and resolve potential problems with your assets. In this section, you enable your simulation app to send anomalous spikes to your instance of Oracle IoT Asset Monitoring Cloud Service application and then you create a pattern based anomaly in your application instance.

  1. Access the Oracle IoT Digital Twin Simulator application at https://your Oracle IoT Cloud Service instance name/ds.
  2. On the Simulators page, click AirportRunwaySweeper.
  3. On the AirportRunwaySweeper page, select the Send Anomalous Spike check box for the device. The first anomalous spike will be sent in 10 minutes and the next after an hour.
  4. After 10 minutes, sign in to the instance of your Oracle IoT Asset Monitoring Cloud Service application.
  5. Click Menu main menu icon and then click Configurations.
  6. On the Configurations: Metrics page, click Anomalies create new icon.
  7. Click Create New create new icon and select Pattern Based Anomaly.
  8. On the Configure New Pattern Based Anomaly page, enter or select the following values:
    • Name: Fuel Level Anomaly
    • Asset Type: RunwaySweepingAssetType
    • Sensor Attribute: fuelLevels
    • Pattern: Existing IoT Data
    • Asset: Runway Sweeping Machine 1
  9. Click Generate Chart. On the upper line chart, locate and click a spike. Notice that on the lower line chart, the area gets highlighted. To zoom in and zoom out scroll your mouse over the area.
  10. To select a pattern, on the upper line chart, drag your mouse over the area of the spike and click. Ensure to include the normal values on both sides of the spike in your pattern.
    Graphical data of the anomaly
    Description of the illustration spike.png
  11. Click Save and then click Publish. Wait until the Publish bar on the page displays the Activated status.

section 4Monitor Asset Anomaly

After an hour another anomalous spike is sent by the simulated device to the Oracle IoT Asset Monitoring Cloud service application. In this section, you monitor the anomalies of the runway sweeping machine.

  1. Click Menu main menu icon and then click Assets.
  2. On the Assets page, for the Runway Sweeping Machine 1 asset, click View View icon.
  3. click the Anomalies tab. In the Time drop-down list, select Last 1 hour and look at the anomaly that is generated for the runway sweeping machine.
  4. To zoom-in, locate the spike, and then click and scroll over the spike of the line chart.
    line chart of the fuel level with an anomaly
    Description of the illustration anomaly.png
  5. To identify and resolve potential issues, assess the values of the fuel level and time. To move to the next anomaly, Click Next View icon .

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Monitoring the Health and Usage of Your Assets