Pi Temp
Web server using a Raspberry Pi and DHT22 sensor to graph the humidity and temperature in my apartment over time.
Overview
Setting up a web server using a Raspberry Pi and DHT22 sensor to monitor humidity and temperature is not just a fun project, but a great way to learn practical skills in programming and digital electronics. This project allows users to graph and visualize indoor climate data over time, making it valuable for anyone interested in home automation or environmental monitoring. With the ability to access this data through a web browser, you can stay informed about your living conditions and make necessary adjustments for comfort.
Not only does this project teach you to install and configure various software components, but it also encompasses a broad spectrum of skills, from setting up a minimal operating system to utilizing cloud-based APIs for data visualization. It's an exciting venture that combines technology with practicality, all while using affordable hardware.
Features
- Real-time Data Monitoring: The web interface displays current temperature and humidity readings, refreshing every 10 seconds for up-to-date information.
- Historical Data Access: Users can select date ranges and view historical data with a user-friendly date time picker and radio buttons for quick access to specific time frames.
- Database Integration: Sensor data is stored in an SQLite database, making it easy to retrieve and analyze information over time.
- Visual Data Representation: By leveraging Google Charts and Plotly, users can create visually appealing graphs that help analyze temperature and humidity trends.
- Interactive Web UI: The application includes a clean and responsive web design, developed using Skeleton for better user experience.
- Cron Job Functionality: The system runs a cron job to automate data collection at specified intervals, ensuring consistent logging of environmental conditions.
- Application Deployment: Utilizes Flask and Nginx, showcasing skills in web development and server management using lightweight frameworks.
- GPIO Utilization: Leverages Raspberry Pi GPIOs for managing inputs and outputs, enhancing the project's hardware interaction capabilities.
- Flask
Flask is a lightweight and popular web framework for Python, known for its simplicity and flexibility. It is widely used to build web applications, providing a minimalistic approach to web development with features like routing, templates, and support for extensions.
- HTML
HTML templates are pre-designed and pre-built web pages that can be customized and used as a basis for building websites. They often include common elements such as headers, footers, menus, and content sections, and can be easily edited using HTML and CSS to fit specific branding and content needs.