This demo shows how to monitor your Lego Boost Robot using InfluxDB, Telegraf, IoT Center Demo with MQTT realtime dashboards.
This application was designed to display and store real-time data from LEGO Boost Robot and because the application from LEGO lacks this feature. We used InfluxDB to store the data, MQTT, Telegraf, IotCenter Demo to show realtime since it's the fastest way to do so.
In future we want to support monitoring of all lego robots, such as Robot Inventor and EV3, so that we can then store time series for color, ultrasonic, and infrared sensors and not just gyro sensor and motors. Our program will also provide some calculations based on the data it monitors such as speed, acceleration, trajectory, energy consumption, lead (for racing), health (for robot battles), work performance (for lego factories), and more.
After cloning this repository, you should be ready to set up our IoT Center.
We recommend using Python Virtual Environment https://docs.python.org/3/tutorial/venv.html to have a clean setup.
https://github.com/bonitoo-io/influxdb-lego.git
cd influxdb-lego
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txtAt first, you should download and install docker from here: https://www.docker.com/get-started.
Then start the latest version of IotCenter using:
docker-compose upIt will take several seconds to start the IotCenter.
Note that the IoT Center requires the following free ports that do not bind:
- 1883 (mqtt broker)
- 8086 (influxdb 2.0 OSS)
- 5000, 3000 nodejs server and UI app
The next step is to register your Lego Boost robot into IotCenter. Open the IoT Center UI
on http://localhost:5000/devices and click Register to add a new device. Enter lego_boost as a device id and
confirm by clicking Register.
- Install Lego Boost app on iPhone or Android device and run firmware upgrade
- Ensure that Robot is working with your iOS or Android device
- Press the green
python ./boost_iot_center.pyOn the first time, you will need to enable BlueTooth access in the MacOS security preferences dialogue popup.
Run again and immediately press the green button on lego brick.
The demo will autodetect your lego hub and start in 5-10s. The output should look like this:
355 INFO root Discovering devices... Press the green button on Hub
5450 INFO comms-bleak Discovering devices... Press green button on Hub
6538 INFO comms Found Move Hub at 24931243-B7C5-6CE4-C192-D4E69C5CB3E4
6538 INFO comms-bleak Device matched: 24931243-B7C5-6CE4-C192-D4E69C5CB3E4: Move Hub
6894 INFO hub Attached peripheral: EncodedMotor on port 0x0
6905 INFO hub Attached peripheral: EncodedMotor on port 0x1
6917 INFO hub Attached peripheral: VisionSensor on port 0x2
6929 INFO hub Attached peripheral: EncodedMotor on port 0x3
6941 INFO hub Attached peripheral: EncodedMotor on port 0x10
6953 INFO hub Attached peripheral: LEDRGB on port 0x32
6964 INFO hub Attached peripheral: TiltSensor on port 0x3a
6977 INFO hub Attached peripheral: Current on port 0x3b
6988 INFO hub Attached peripheral: Voltage on port 0x3c
7001 WARNING hub Have no dedicated class for peripheral type 0x42 (UNKNOWN) on port 0x46
7001 INFO hub Attached peripheral: Peripheral on port 0x46
7192 INFO hub b'Move Hub' on b'001653bf6d29'
7295 INFO hub Voltage: 100%
7399 INFO root Running Demo...
7709 INFO root > environment,clientId=lego_boost speed_a=0,speed_b=0,x_axis=2,y_axis=-62,z_axis=4 1644851818642053000
7719 INFO root > environment,clientId=lego_boost speed_a=0,speed_b=0,x_axis=2,y_axis=-61,z_axis=4 1644851818653587000
7741 INFO root > environment,clientId=lego_boost speed_a=0,speed_b=0,x_axis=3,y_axis=-63,z_axis=4 1644851818675525000
7823 INFO root > environment,clientId=lego_boost distance=0,speed_a=0,speed_b=0,x_axis=3,y_axis=-62,z_axis=4 1644851818757454000
7847 INFO root > environment,clientId=lego_boost distance=0,speed_a=0,speed_b=0,x_axis=3,y_axis=-62,z_axis=3 1644851818781242000
7916 INFO root > environment,clientId=lego_boost distance=9,speed_a=0,speed_b=0,x_axis=3,y_axis=-62,z_axis=4 1644851818849990000
Lego metrics are coded in following manner:
- axis x -> tilt axe X
- axis y -> tilt axe Y
- axis z -> tilt axe Z
- Distance -> distance sensor
- Voltage -> battery voltage
- Motor A/Motor B -> current motor output
Check IoT Center: http://localhost:5000/realtime/lego_boost
At the moment, the latest version of the pylgbst (1.2.2) doesn't support macOS Monterey 12.2+, install the latest version from github using following pip command:
pip install git+https://github.com/undera/pylgbst