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Enthernet Code

•Created by Enthernet Code on 7/30/2024 in #middleware-and-os

How to Fix "Failed to Read Sensor: OSError" on Arduino Nano 33 BLE Sense with MicroPython?

Hey guys am developing an air quality monitoring system using an Arduino Nano 33 BLE Sense, MicroPython, and a CCS811 gas sensor. The system will use a TinyML model to predict air quality index (AQI) based on sensor data. I have set up the flash MicroPython firmware on the Arduino Nano 33 BLE Sense, connected the CJMCU-8128 module to the Arduino (I2C pins: SDA to A4, SCL to A5), also connected the OLED display to the Arduino using I2C. But am getting the error Failed to read sensor: OSError Here's my code

   import machine
   import time
   import ssd1306
   from ccs811 import CCS811
   from hdc1080 import HDC1080
   from bmp280 import BMP280
   import tensorflow as tf

   i2c = machine.I2C(scl=machine.Pin(22), sda=machine.Pin(21))
   ccs811 = CCS811(i2c)
   hdc1080 = HDC1080(i2c)
   bmp280 = BMP280(i2c)

   def read_sensor_data():
       try:
           co2, tvoc = ccs811.read_data()
           temperature = hdc1080.read_temperature()
           humidity = hdc1080.read_humidity()
           pressure = bmp280.read_pressure()
           return co2, tvoc, temperature, humidity, pressure
       except OSError as e:
           print('Failed to read sensor:', e)
           return None, None, None, None, None
 
   oled_width = 128
   oled_height = 64
   oled = ssd1306.SSD1306_I2C(oled_width, oled_height, i2c)

   def display_data(aqi):
       oled.fill(0)
       oled.text(f'AQI: {aqi}', 0, 0)
       oled.show()
   
   interpreter = tf.lite.Interpreter(model_path="aqi_predictor.tflite")
   interpreter.allocate_tensors()

   input_details = interpreter.get_input_details()
   output_details = interpreter.get_output_details()

   def predict_aqi(co2, tvoc, temperature, humidity, pressure):

   import machine
   import time
   import ssd1306
   from ccs811 import CCS811
   from hdc1080 import HDC1080
   from bmp280 import BMP280
   import tensorflow as tf

   i2c = machine.I2C(scl=machine.Pin(22), sda=machine.Pin(21))
   ccs811 = CCS811(i2c)
   hdc1080 = HDC1080(i2c)
   bmp280 = BMP280(i2c)

   def read_sensor_data():
       try:
           co2, tvoc = ccs811.read_data()
           temperature = hdc1080.read_temperature()
           humidity = hdc1080.read_humidity()
           pressure = bmp280.read_pressure()
           return co2, tvoc, temperature, humidity, pressure
       except OSError as e:
           print('Failed to read sensor:', e)
           return None, None, None, None, None
 
   oled_width = 128
   oled_height = 64
   oled = ssd1306.SSD1306_I2C(oled_width, oled_height, i2c)

   def display_data(aqi):
       oled.fill(0)
       oled.text(f'AQI: {aqi}', 0, 0)
       oled.show()
   
   interpreter = tf.lite.Interpreter(model_path="aqi_predictor.tflite")
   interpreter.allocate_tensors()

   input_details = interpreter.get_input_details()
   output_details = interpreter.get_output_details()

   def predict_aqi(co2, tvoc, temperature, humidity, pressure):

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