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content/hardware/07.opta/opta-family/opta/tutorials/18.smart-compressor-app-note/content.md

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@@ -83,14 +83,14 @@ The Opta is responsible for reading the sensors and uploading their data to the
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The Nicla Sense ME leverage it's internal IMU for anomalous vibration detection on the compressor motor and connects through BLE with the Opta for vibration status sharing.
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![Compressor Monitoring System]()
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![Compressor Monitoring System](assets/overview-diagram.png)
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### Sensors Deployment
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- The **Current Sensor** alongside the grid voltage will help us measure the compressor power consumption for monitoring and overcurrent detection. It will be placed hooked in the compressor AC power line.
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- The **Temperature Sensor** will measure the compressor electric motor temperature for monitoring and high temperature detection. It will be fixed to the compressor motor.
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- The **Pressure Sensor** will measure the compressor air pressure for monitoring and high pressure detection. It will be screwed in the compressor tank pressure output.
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- The **Nicla Sense ME** will detect anomalous vibrations. It will be fixed to the compressor motor and powered with a battery or external power source.
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- The **Nicla Sense ME** will detect anomalous vibrations. It will be fixed to the compressor motor or pump and powered with a battery or external power source.
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### Anomalies Detection
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Taking advantage of the Arduino Cloud, we can seamlessly integrate a simple but powerful dashboard to monitor and visualize the status of the system in real-time:
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![Arduino Cloud Dashboard]()
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![Arduino Cloud Dashboard](assets/cloud-dash.gif)
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Within the Arduino Cloud's dashboard, the system variables can be monitored with the following widgets:
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