Abstract:

There are several devices on the market that allow environmental parameters to be measured with their subsequent sending to a remote server, where these data are interpreted by the user. However, none of these devices offers an interface for connecting to a UAV (unmanned aerial vehicle) device. In order for the device to be used on UAVs, it must have an adapted shape, power supply, consumption and computing power. In teaching, emphasis is placed on the given solution being optimized for low consumption and low weight. The developed prototype offers several wired interfaces - I2C and UART on 3.3V and 5V logic, as well as wireless - Bluetooth and WiFi. It thus offers various connection options to selected superior systems. The device designed by us integrates ESP32-WROOM-32D module, DHT11 temperature sensor, PGM5659 light intensity sensor, SGP40 air quality sensor, control and signaling elements, while it can be powered either by 4 pcs of AA batteries or using the source of the superior UAV system through an external connector . The control algorithm of the given device is implemented in the Micropython language and enables, on the basis of measured data, to evaluate and predict the level of air quality in the monitored space with an algorithm optimized for device low energy consumption. Thanks to the support of Micorpython, this platform can be used in the educational process even for younger students. Due to the wide range of integrated sensors and supported wireless communication interfaces, this platform is universally usable for different degrees of difficulty in teaching and in practice.

Keywords:

UAV platform, sensor data processing, measurement of environmental parameters.