Author(s)

YuanJu Zhou

Affiliation(s)

Chengdu Jiushang Technology Co., Ltd., Chengdu 610000, Sichuan, China.

Corresponding Author

YuanJu Zhou

ABSTRACT

The CAT3512B generator set, renowned for its efficient and stable operation as well as robust power support, has found widespread application across various industries such as engineering machinery, petroleum, power industry, and chemicals. This article presents a data acquisition system designed utilizing embedded technology and IoT applications, centered on the STM32F103C8T6 microcontroller. This system is tasked with real-time acquisition, transmission, and application of operational parameters from both the engine and generator of the CAT3512B generator set. The objective is to facilitate real-time monitoring and early warning, enabling historical data retrieval of operational parameters. Leveraging big data and AI algorithms, it further aids in preventive and precise maintenance, providing management with data-driven, scientifically sound decision support.The data acquisition unit employs the STM32F103C8T6 chip, which strikes an excellent balance between performance and cost. Engine parameters are collected via the CAN bus, while electrical parameters from the generator are gathered using an Rs485 bus interface with an electrical parameter tester. The acquired data is packaged into the corresponding message format of the data platform and transmitted to the data processing center via the NB-IoT communication module for analysis, storage, and application.

KEYWORDS

STM32F103C8T6; CAT3512B; CAN bus; Rs485 bus; NB-IoT

CITE THIS PAPER

YuanJu Zhou. Design of a CAT3512B diesel generator data acquisition system based on STM32. Journal of Computer Science and Electrical Engineering. 2024, 6(3): 52-58. DOI: 10.61784/jcsee3019.

REFERENCES

[1] Hongwei Guo, Tuo Yang. Design and implementation of an intelligent car obstacle avoidance system based on deep learning. Electronics Science Technology and Application, 2023, 10(2).

[2] Xuhai Wang, Weiguo Li, Lili Wang, et al. Based on STM32F103 cowshed environment intelligent control system. IOP Conference Series: Materials Science and Engineering, 2020, 782(5).

[3] Alzahrani Ahmad, Shriya Makarand Wangikar, Vairavasundaram Indragandhi, et al. Design and Implementation of SAE J1939 and Modbus Communication Protocols for Electric Vehicle. Machines, 2023, 11(2) : 201-201.

[4] Xuan Shao, Xingwu Kang, Xuping Wang et al. Design of special vehicle condition monitoring system based on J1939. Journal of Physics: Conference Series, 2020, 1549(3) : 032092.

[5] Jun Wang, Ting Ke, Mengjie Hou, et al. The Design of Home Fire Monitoring System based on NB-IoT. International Journal of Advanced Computer Science and Applications (IJACSA), 2022, 13(5).

[6] Ernesto Sanz, Jorge Trincado, Jorge Martínez, et al. Cloud-based system for monitoring event-based hydrological processes based on dense sensor network and NB-IoT connectivity. Environmental Modelling and Software, 2024, 182: 106186-106186.

[7] Lin Qingyao, Gao Qiuhong. Electric bicycle battery management system based on NB-IoT. 2024.

[8] Jun Lin, Xiaobin Xu. Design of a textile storage environment fire detection system based on ZigBee and NB-IoT. Journal of Physics: Conference Series, 2024, 2797(1).