Abstract
With the rapid advancement of IoT technology, IoT education has emerged as a new challenge in university education. A course named “Smart Hardware and Intelligent Systems” is designed to target for undergraduate students in IoT education. The course content includes the mastery of embedding computing hardware, scene-based programming methods, IoT communication technologies and cloud services, design thinking in smart product etc. The course teaching methods combine lectures, hands-on experiments, case studies, and creative design. The course creates a comprehensive and self-directed learning environment for students. The AIOE hardware is also introduced to remove the barriers to learning embedded computing and facilitate the development of IoT application in this course.
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References
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Appendix A: A Simple Practice Example
Appendix A: A Simple Practice Example
Functionality: Read temperature and humidity values from the environment and display them in real-time on an LCD.
Experimental hardware includes: AIOE1001 host, AIOE3015 LCD human-machine interaction module, AIOE5014 temperature and humidity sensor module, as shown below (Fig. 5):
Temperature and Humidity Display Experiment Equipment
Experiment procedure:
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Following the hardware connection diagram, configure using AIOE Studio software (as shown below) to generate a Keil software project (the MCU model of the mainboard is STM32F103RCT6) (Fig. 6):
AIOE Studio Configuration for this Project
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The project contents are as shown below (Fig. 7):
Software Project Contents for this Project
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In the GlobalTask_EventTimer_scan() function, which is the event task triggered by the timer (executed every second), insert the two lines of code as follows (Fig. 8):
Code for Displaying Temperature and Humidity Values
Here, AIOE5014_temperature_value and AIOE5014_humidity_value are the temperature and humidity values that are automatically updated every second and are defined in the AIOE5014_API module (Fig. 9).
API Functions
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Compile, download the generated *.hex file to the MCU, and start the application.
This project’s functionality can be implemented with a few lines of code, making it very convenient, even for beginners.
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Chen, Z. et al. (2024). Embedded Computing Course Design for Internet of Things and Smart Things Applications. In: Hong, W., Kanaparan, G. (eds) Computer Science and Education. Teaching and Curriculum. ICCSE 2023. Communications in Computer and Information Science, vol 2024. Springer, Singapore. https://doi.org/10.1007/978-981-97-0791-1_19
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DOI: https://doi.org/10.1007/978-981-97-0791-1_19
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