Interactive Lab Assistant: IoT climate monitoring with a programmable microcontroller
The experiment instructions are in the form of an Interactive Lab Assistant course. This multimedia course guides the student through the topic of IoT climate monitoring. It allows the students to independently develop a CO2 traffic light in the classroom. They use the IoT climate monitoring device to measure the CO2 content, temperature and humidity of the room air. In the process, they learn how to program a controller using the Ardublock graphical programming language and how to process the measured data. This data is then used to assess the quality of the air, which is clearly signalled in colour code using an RGB matrix with 54 individually controllable LEDs, similar to a traffic light. In the next step, wireless communication is established between two climate monitoring devices, and the measured values from different measuring points are used to evaluate the quality of the room air. This ultimately leads, step by step, to the implementation of an IoT (Internet of things) application, thus allowing you to access the measurement data from any Internet-enabled device.
Features:
- Questions with feedback and evaluation logic for monitoring student progress
- Printable document for easy printing of instructions and solutions
- Labsoft browser and course software
- Course duration: approximately 6 hours
Training content:
- CO2, temperature and humidity measurement
- Graphical programming with Ardublock
- Option of conventional programming using the Arduino development environment
- Control of an RGB LED matrix
- Control of an OLED display
- Wireless communication
- Integration of sensors as IoT devices