26 lines
1.0 KiB
Markdown
26 lines
1.0 KiB
Markdown
## Introduction
|
|
Web server using a Raspberry Pi and DHT22 sensor to graph the humidity and temperature in my apartment over time. The data can be accessed over a web browser.
|
|
|
|
Skills I learned during this project:
|
|
-Setup the minimal Raspbian operating system to the RPi, called Minibian
|
|
-Install and use Python, and the Python virtual environment
|
|
-Install and use Flask, a Python-based web micro-framework
|
|
-Install and use uWSGI as the application server for Flask
|
|
-Install and use Nginx light-weight web server
|
|
-Use Skeleton to make the web UI look better
|
|
-Use the RPi GPIOs as digital input and outputs
|
|
-Use a DHT22 humidity and temperature sensor
|
|
-Install and use the SQLite database to store sensor data
|
|
-Add a cron job to store sensor data every so many minutes
|
|
-Use the Google Chart API to create visual representations of the sensor data
|
|
-Use Javascript/JQuery to add interactivity to web pages
|
|
-Use Plotly for graphical analysis of sensor data
|
|
|
|
## YouTube
|
|
|
|
YouTube:
|
|
|
|
## Circuit Diagram
|
|
|
|
|