In this post I am going to detail how to create a real time data pipeline for processing sensor data. First we will connect the sensor and create the code to read it. I will use the DHT22 temperature and humidity sensor on the Raspberry Pi Zero WH. Then we’ll setup the real time data flow with Python and RabbitMQ. Finally we will use Flask and D3.js to display the data in a live dashboard in a browser.
Store sensor data with SQLite
Very often as part of an Orange Pi or Raspberry Pi project involving sensors, it is useful to store the sensor data in some kind of way or another. A good way to store the data is in a database that you can manage and query. SQLite is a popular embedded database management system. SQLite comes in the form of a C library. Due to it’s low footprint on resources, it fits well with a device such as a Raspberry Pi or the Orange Pi.
Create a Flask web page
In this tutorial I will show you how to build a simple web app using Flask for the server side scripting and D3.js for the data visualization.