Integration of the RAK12033 Sensor into the Laboratory Monit

Integration of the RAK12033 Sensor into the Laboratory Monitoring System

Here are the specific elements and tasks to be carried out to integrate the RAK12033 IIM-42652 6-axis accelerometer sensor into the project:

Required Materials and Software (Hardware Addition):

• Sensors (essential for environmental and vibration control):
• 1 x RAK12033 IIM-42652 6-axis Accelerometer (vibration or impact detection on equipment)

Configuration and Implementation Steps (Modifications):

1. Development Environment Preparation

• Install sensor libraries: Add the necessary libraries for the IIM-42652 to your PlatformIO project.

2. Hardware Assembly

• Connect Sensors:
• Connect the RAK12033 (IIM-42652) to an I2C sensor slot.

3. WisBlock Node (RAK4631) Programming

• SensorReading: Write code to read data from the IIM-42652 at regular intervals.
• IIM-42652: Acceleration data on X, Y, Z axes. You can calculate vibration magnitudes or detect impact peaks.
• LoRaWAN Payload: Package the accelerometer data into an efficient LoRaWAN payload format.

5. Cloud IoT Platform Configuration (The Things Stack + Ubidots/Grafana)

• The Things Stack (TTS):
• Configure a "Payload Formatter" (or Decoder) so that TTS can interpret the binary data sent from the node, including the accelerometer data.
• Ubidots / Grafana Cloud / ThingsBoard:
• Create devices/data sources: Configure "devices" or "data sources" on the platform that reflect the accelerometer values (X, Y, Z axes or a calculated magnitude).
• Create Dashboards: Design dashboards with widgets (graphs, gauges, tables) to visualize vibration/impact data in real-time and historically.
• Configure Alerts: Set alert rules (e.g., if vibration exceeds a certain value) to send notifications via email, SMS, or Telegram.

6. Testing and Debugging

• Data Validation: Ensure that the decoded data in TTS and on your visualization platform is correct and makes sense, including the accelerometer data.
• Sensor Testing: Generate vibrations/impacts near the accelerometer to verify that the sensor responds and data updates.
• Alert Testing: Force conditions to trigger vibration/impact alerts and verify that notifications are sent.

Challenges and Troubleshooting Tips (Sensor-Specific Considerations):

• Accelerometer Readings:
• Tip: Accelerometers can be sensitive to noise. Consider using moving averages or filters if readings are erratic. Define clear thresholds for detecting abnormal impacts or vibrations.

Evaluation Criteria (Additions):

• Data Reading: The microcontroller code correctly reads data from the accelerometer.
• Visualization and Dashboard: The dashboard displays accelerometer data.
• Alert System: Alerts for vibration/impact are successfully configured and tested.

✅ 1. Install the library

In PlatformIO (platformio.ini) or Arduino IDE, add:

lib_deps =

RAKWireless/RAK4630-LoRaWan

RAKWireless/IIM42652-Arduino-Library

(If this exact library doesn’t exist, use the official InvenSense library for IIM-42652 or adapt with Wire)

✏ 2. In your code

Include the library:

#include <IIM42652.h>

🧰 3. Declare the sensor instance and variables:

IIM42652 iim; // 6-axis sensor

float accel_x = 0.0, accel_y = 0.0, accel_z = 0.0;

float gyro_x = 0.0, gyro_y = 0.0, gyro_z = 0.0;

⚙ 4. In setup() initialize the sensor:

if (!iim.begin()) {

Serial.println("IIM-42652 not found. Check connections.");

while (1);

}

Serial.println("IIM-42652 initialized successfully.");

📊 5. In the loop() read and print the data:

iim.readSensor();

// Accelerometer

accel_x = iim.getAccelX();

accel_y = iim.getAccelY();

accel_z = iim.getAccelZ();

// Gyroscope

gyro_x = iim.getGyroX();

gyro_y = iim.getGyroY();

gyro_z = iim.getGyroZ();

// Print to serial monitor (for debugging)

Serial.printf("Accel X: %.2f, Y: %.2f, Z: %.2f\n", accel_x, accel_y, accel_z);

Serial.printf("Gyro X: %.2f, Y: %.2f, Z: %.2f\n", gyro_x, gyro_y, gyro_z);

📦 6. Add to LoRaWAN payload

For example, send the Z axis from the accelerometer and gyroscope (to save bytes):

int16_t accZ_int = (int16_t)(accel_z * 1000); // multiply by 1000 to keep 3 decimal places

payload[payload_idx++] = (uint8_t)(accZ_int >> 8);

payload[payload_idx++] = (uint8_t)(accZ_int & 0xFF);

int16_t gyroZ_int = (int16_t)(gyro_z * 1000);

payload[payload_idx++] = (uint8_t)(gyroZ_int >> 8);

payload[payload_idx++] = (uint8_t)(gyroZ_int & 0xFF);

⚠ Make sure to also update your payload decoder on The Things Stack to handle these new fields.

🖼 7. (Optional) Display on OLED screen:

// u8g2.setCursor(0, 60); u8g2.printf("AccZ: %.2f", accel_z);

✅ Quick summary of the workflow:

• Install library → include #include <IIM42652.h>
• In setup(): call iim.begin()
• In loop(): call iim.readSensor() and get values
• Pack values into payload → send over LoRaWAN