temp_control_iot

This is a simple IOT project using Raspberry pi (https://www.raspberrypi.com/products/raspberry-pi-3-model-b/)and DHT22 sensor(https://www.instructables.com/How-to-use-DHT-22-sensor-Arduino-Tutorial/).The data recieved is then publishes in the form of a table and bar graph using [Python Flask] (http://flask.pocoo.org/) and PostgreSQL.

Installation

Prerequisites

• Raspberry Pi with Raspbian OS
• DHT22 Sensor
• Python 3.7+
• PostgreSQL

Hardware Setup

1. Connect the DHT22 sensor to the Raspberry Pi:
   • VCC to 3.3V
   • GND to GND
   • Data to GPIO pin (e.g., GPIO17)

Software Setup

1. Clone the repository

   git clone https://github.com/yourusername/raspberry-pi-dht22.git

2. Navigate to the project directory

   cd raspberry-pi-dht22

3. Set up a Python virtual environment and activate it

   python3 -m venv venv
   source venv/bin/activate

4. Install Python dependencies

   pip install -r requirements.txt

5. Set up the PostgreSQL database

   sudo -u postgres psql
   CREATE DATABASE iot;
   CREATE USER pi WITH PASSWORD 'password';
   GRANT ALL PRIVILEGES ON DATABASE iot TO pi;
   \q

6. Update the database configuration in config.py

   SQLALCHEMY_DATABASE_URI = 'postgresql://pi:password@localhost/sensor_data'

Usage

1. Run the data collection script to read data from the DHT22 sensor and store it in PostgreSQL

   python data_collector.py

2. Run the Flask web application to display the data

   python app.py

3. Open a web browser and navigate to http://<your-raspberry-pi-ip>:5000 to view the data.

Features

• Collects temperature and humidity data using a DHT22 sensor.
• Stores the data in a PostgreSQL database.
• Displays the data in a table and bar graph using a Flask web application.

Project Structure