Iot Based Weather Reporting System

In today's post, we are going to explore an interesting IoT project: creating a simple weather reporting system with Arduino and DHT11 sensor.

Introduction

The scope of the Internet of Things (IoT) is quickly expanding beyond mainstream applications like smart homes to fields such as agriculture, healthcare, and even weather reporting. Modern weather reporting systems can leverage IoT to provide real-time updates on temperature, humidity, and other environmental parameters directly from your local environment. In this blog, we discuss how to create a basic weather reporting system using an Arduino and DHT11 sensor.

Required Hardware & Software

Hardware

1. Arduino Uno
2. DHT11 sensor - used for measuring temperature and humidity
3. Connecting wires

Software

1. Arduino IDE

Connecting the DHT11 sensor with Arduino

To connect the DHT11 sensor with Arduino, follow this pin connection:

• DHT11 VCC pin connects to Arduino 5V pin
• DHT11 data pin connects to Arduino digital pin 2
• DHT11 GND pin connects to Arduino GND

Coding the Arduino

#include <dht.h>
dht DHT;

#define DHT11_PIN 2

void setup(){
  Serial.begin(9600);
}

void loop()
{
  int chk = DHT.read11(DHT11_PIN);
  Serial.print("Temperature = ");
  Serial.println(DHT.temperature);
  Serial.print("Humidity = ");
  Serial.println(DHT.humidity);
  delay(1000);
}

This script will read temperature and humidity from the DHT11 sensor every second and print it to the serial monitor. Note that this is a very basic script and for a practical implementation, you may want to send this data to a cloud platform for storage and further analysis.

To run this code, connect your Arduino to your PC, open the Arduino IDE, paste the code, select your Board (Tools -> Board -> Arduino Uno) and Port (Tools -> Port), and hit Upload.

Wrapping Up:

This simple IoT-based weather reporting system is an example of how IoT is changing the world around us one sensor at a time. It also provides a stepping stone to more complex projects such as fully-fledged weather stations or smart home environment control systems. In future posts, we will explore how to send sensor data to the cloud and analyze it for decision making. So, stay tuned!