(developer version of https://github.com/bonitoo-io/influxdb-lego)
This application was designed to display and store real-time data from LEGO Mindstorm Robot Inventor and LEGO Boost, because the original applications lack this feature. It also serves as a substitution for EV3's 8 years old DB system, which is much slower, uglier, and less user friendly than ours. We used InfluxDB to store the data because it's the fastest way to do so according to this article: https://www.influxdata.com/products/compare/. The code was written in MicroPython since both InfluxDB and the robots support it with a few adjustments. Our program should eventually do: Real-time data logging and visualization of data in customizable graphs. This will be done using data from motors, color, ultrasonic, gyro, touch and infrared sensors. Our program should also provide some calculations based on this data, for example, speed, acceleration, trajectory, energy consumption, lead (for racing), health (for robot battles), work performance (for lego factories), and more.
This is an unofficial version that is not ready to be installed yet. You can however install the official realise for lego boost here: https://github.com/bonitoo-io/influxdb-lego
All you have to do is to connect the robot with this app. Then you can monitor everything about it with InfluxDB. The robots can do whatever you want them to do. You can even monitor multiple robots at once while they are, for example, racing, fighting each other or working together in a factory.
Mindstorm robots are meant to be programmed in Scratch, but since the options there are limited, the authors made it easy to use other languages. It's especially easy with MicroPython. For EV3, the authors gave us an instructive guide on how to do so (https://education.lego.com/en-us/product-resources/mindstorms-ev3/teacher-resources/python-for-ev3) and for robot inventor, the tutorial is within the app. Using those Python commands we can then send real-time data through MQTT and store it in our database using Telegraph and InfluxDB. The real-time data will then be displayed in our application.
This application was developed by Jakub Mikeš (https://github.com/Kejk23) and Lukáš Létal (https://github.com/LLetal) with collaboration and financial support from APITEA Technologies, s.r.o. (https://apitea.com/)
MIT License