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Clayton Walker
2016-04-10 21:29:05 -04:00
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## 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.
## Setup
I use Python to access a DHT22 sensor to grab the temperature and humidity data. I also use a web server using Flask, uWSGI, SQLite, and JavaScript/jQuery.
Charts are made with Google Charts and Plotly for more advanced processing.
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