Particle sensors play a critical role in environmental monitoring and industrial applications, and their research requires self-made instruments. This project focuses on developing firmware for an STM32 microcontroller to control HV modules and allow precise data acquisition, real-time processing, and communication with a Raspberry Pi as a user interface. The firmware shall ensure robust set voltages up to 5 V, accurate logging of implemented T, RH%, and p sensors, and integration of safety measures. Additionally, a user interface can be realized using the Raspberry Pi.
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Student Target Groups:
- Computer Science (CS)
- Information and Computer Engineering (ICE)
- Electrical Engineering (EE)
Thesis Type:
Goal & Tasks:
- Develop firmware for interfacing with particle sensors and ensuring accurate data capture
- Implement data logging with timestamps for environmental analysis
- Document the firmware thoroughly
- Enable communication with external systems (e.g., Raspberry Pi or PC) for advanced data processing
Recommended Prior Knowledge:
- Embedded programming in C
- Communication protocols (e.g., UART, SPI)
- Familiarity with STM32 microcontrollers
- Understanding of sensor calibration and data processing
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