IoT Weather Reporting System

This guide will help you set up an IoT-Based Weather Reporting System using Raspberry Pi. The system will collect data on temperature, humidity, and other weather conditions, then send this data to the cloud for monitoring and reporting.

Components Required

• Raspberry Pi (Model 3 or later)
• Temperature and humidity sensor (e.g., DHT22)
• Barometric pressure sensor (e.g., BMP180 or BMP280)
• Connecting wires and breadboard
• Power supply (for Raspberry Pi and sensors)
• Cloud service account (e.g., ThingSpeak, Blynk, or AWS IoT)

Setting Up the Hardware

Follow these steps to set up the hardware:

1. Connect Sensors

   Connect the temperature and humidity sensor and barometric pressure sensor to the Raspberry Pi GPIO pins. Ensure proper wiring according to each sensor's datasheet.

2. Power the System

   Ensure the Raspberry Pi and sensors are powered using appropriate power supplies. Verify all connections before powering on.

Programming the Raspberry Pi

Write the code to read data from the sensors and send it to the cloud. Below is a basic example using Python:

                import Adafruit_DHT
                import Adafruit_BMP.BMP085 as BMP085
                import requests
                import time

                # Configuration
                DHT_SENSOR_PIN = 4
                CLOUD_URL = "https://api.thingspeak.com/update?api_key=YOUR_API_KEY"

                # Setup sensors
                dht_sensor = Adafruit_DHT.DHT22
                bmp_sensor = BMP085.BMP085()

                def read_sensors():
                    humidity, temperature = Adafruit_DHT.read_retry(dht_sensor, DHT_SENSOR_PIN)
                    pressure = bmp_sensor.read_pressure() / 100.0  # Convert to hPa
                    return temperature, humidity, pressure

                def send_data_to_cloud(temperature, humidity, pressure):
                    response = requests.get(CLOUD_URL + f"&field1={temperature}&field2={humidity}&field3={pressure}")
                    print(f"Data sent to cloud: {response.status_code}")

                try:
                    while True:
                        temperature, humidity, pressure = read_sensors()
                        send_data_to_cloud(temperature, humidity, pressure)
                        time.sleep(600)  # Send data every 10 minutes

                except KeyboardInterrupt:
                    print("Program stopped")
            

This code reads temperature, humidity, and pressure data from the sensors, sends it to the cloud, and logs the data every 10 minutes.

Setting Up Cloud Integration

To visualize and analyze the weather data, integrate your system with a cloud service. Configure your cloud service to display real-time sensor data and set up any alerts or notifications as needed.

Testing and Calibration

Test the system by checking the sensor readings and ensuring that data is correctly sent to the cloud. Verify the accuracy of the readings and adjust sensor calibration as necessary for reliable performance.