TY - GEN
T1 - Design of a CH32V307-Based Embedded Control Module for Shipboard Equipment Monitoring
AU - Yuan, Kuo
AU - Meng, Dong
AU - Ren, Xin
AU - Yin, Hongtao
AU - Zheng, Wenbin
AU - Qiao, Jiaqing
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - The shipboard equipment monitoring system is critical for ensuring maritime safety, with the embedded control module serving as the central hub for data acquisition and control. The autonomy, controllability, and high reliability of this module are of paramount importance. Addressing this requirement, this paper presents the design and implementation of a highly reliable and autonomously controllable embedded control module. On the hardware level, electrical isolation for multiple CAN and RS-485 buses is achieved by employing transceiver chips with integrated isolated power supplies and signal isolation. This approach effectively suppresses common-mode interference and ground loop issues prevalent in the complex shipboard electromagnetic environment. Furthermore, I2 C bus expansion technology is utilized to facilitate multi-channel digital signal acquisition and control, thereby conserving MCU I/O resources. On the software level, the RT-Thread real-time operating system is ported to the module. Its I/O device management framework is leveraged to provide unified management of all peripherals, for which corresponding device drivers were developed. A multi-threaded test program was designed to conduct a comprehensive functional verification of the module. The results demonstrate that the module's communication interfaces and I/O functions operate correctly with stable and reliable performance. It achieves highly reliable communication and precise I/O control during longterm continuous operation. Consequently, the module meets the functional and technical specifications required by the shipboard equipment monitoring system, offering an effective solution for developing an autonomous and controllable system.
AB - The shipboard equipment monitoring system is critical for ensuring maritime safety, with the embedded control module serving as the central hub for data acquisition and control. The autonomy, controllability, and high reliability of this module are of paramount importance. Addressing this requirement, this paper presents the design and implementation of a highly reliable and autonomously controllable embedded control module. On the hardware level, electrical isolation for multiple CAN and RS-485 buses is achieved by employing transceiver chips with integrated isolated power supplies and signal isolation. This approach effectively suppresses common-mode interference and ground loop issues prevalent in the complex shipboard electromagnetic environment. Furthermore, I2 C bus expansion technology is utilized to facilitate multi-channel digital signal acquisition and control, thereby conserving MCU I/O resources. On the software level, the RT-Thread real-time operating system is ported to the module. Its I/O device management framework is leveraged to provide unified management of all peripherals, for which corresponding device drivers were developed. A multi-threaded test program was designed to conduct a comprehensive functional verification of the module. The results demonstrate that the module's communication interfaces and I/O functions operate correctly with stable and reliable performance. It achieves highly reliable communication and precise I/O control during longterm continuous operation. Consequently, the module meets the functional and technical specifications required by the shipboard equipment monitoring system, offering an effective solution for developing an autonomous and controllable system.
KW - CAN Bus Communication
KW - RS485 Communication
KW - RT-Thread
KW - Signal Transfer
UR - https://www.scopus.com/pages/publications/105034853705
U2 - 10.1109/ICSMD67131.2025.11365520
DO - 10.1109/ICSMD67131.2025.11365520
M3 - 会议稿件
AN - SCOPUS:105034853705
T3 - ICSMD 2025 - International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence
BT - ICSMD 2025 - International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2025
Y2 - 21 November 2025 through 23 November 2025
ER -