Design of dangerous driving behavior detection system based on STM32

Автор: Cheng Changshan, Levtsev Aleksei, Zhao Changhao, Song Mengchen, Min Xubo

Журнал: Бюллетень науки и практики @bulletennauki

Рубрика: Технические науки

Статья в выпуске: 8 т.8, 2022 года.

Бесплатный доступ

With the rapid development of China’s economy and the continuous improvement of the living standards of the people, cars have gradually become an indispensable tool for travel. At the same time as the number of cars increases rapidly, the accident rate of road traffic is also increasing. Traffic accidents caused by dangerous driving behavior account for a large part of the accident rate. In order to reduce the road traffic accident rate, a vehicle dangerous driving behavior detection system using STM32 single-chip microcomputer is designed from the vehicle itself, which mainly detects the speed and weight of the vehicle. When the vehicle is in the starting state, the detection system detects the weight and speed of the vehicle in real time through the sensor and the motor speed. In this system, the STM32 is used as a core MCU. When the speed or weight of the vehicle exceeds the threshold, the MCU performs an alarm and subsequent operations. This design introduces the overall design of the system in detail, from the test of each module to the use of the overall connection test, the interface module and STM32 interface circuit as well as the system hardware circuit and related peripheral circuits are given, and finally the measurement data is displayed through the OLED. The design is simple in structure and can be applied to various vehicles.

Еще

Stm32 single chip microcomputer, pressure sensor, hall sensor

Короткий адрес: https://sciup.org/14125295

IDR: 14125295   |   DOI: 10.33619/2414-2948/81/27

Список литературы Design of dangerous driving behavior detection system based on STM32

  • Statistical Bulletin of the People's Republic of China on National Economic and Social Development in 2018.
  • Li, Shuo (2015). Research and system construction of dangerous driving state detection mechanism. Nanjing: Master's thesis for professional degree of Nanjing University of Posts and Telecommunications.
  • Lu, Sen-Xing (2015). Sensor strategy in the construction of detection system. China Science and Technology Information, (11), 95-97.
  • Xu, Hui (2015). Video-based vehicle speed detection and speeding alarm system. Inner Mongolia: Master's thesis, Inner Mongolia University of Technology.
  • Wang, Hui (2013).Video-based vehicle abnormal behavior detection. Shenyang: Master's thesis, Shenyang University of Technology.
  • Wang, Qianjin, & Zheng, Zhanjie (2018). Research and design of computer vision-based dangerous driving early warning system. Journal of Changsha University, 32(05), 37-40.
  • Bie, Y., Li, M., & Chen, F. (2017). Heat loss properties of cavity absorber in solar collecting system with parabolic trough concentrator. Acta energiae solaris sinica, 38(2), 423-430.
  • Tang, Keshuang,Tal, Chaopeng, & Zhou, Nan (2018). Empirical analysis of dangerous driving behavior during phase switching at intersections based on trajectory data. Chinese Journal of Highways, 31(04), 88-97.
  • Zhan, T, Cai, Z. S.,Zhang, J., & Yang, Y. (2011). A dangerous driving behavior detection system based on multi-sensor information fusion. Research and Development, (07), 54-57.
  • Jouybari, H. J., Saedodin, S., Zamzamian, A., & Nimvari, M. E. (2017). Experimental investigation of thermal performance and entropy generation of a flat-plate solar collector filled with porous media. Applied Thermal Engineering, 127, 1506-1517. https://doi.org/10.10167j.applthermaleng.2017.08.170
  • Wang, Fei, Qi, Peng, & Lu, Shuaihua (2016). Design and application of automatic speeding detection system for motor vehicles. Science and technology innovation and application, (16), 51.
  • Chen, C. J. (2013). Integrated design and implementation of large vehicles dangerous driving behavior monitoring system. Wuhan: Wuhan University of Technology Dissertation.
  • Chen, Jie (2014). Analysis of factors affecting the thermal performance of flat-panel solar collectors. Chinese Journal of Agricultural Machinery, 35(06), 226-229.
  • Guo Tianxiang. New concept 51 microcontroller C language tutorial [M]. Beijing: Electronic Industry Press, 2009.
Еще
Статья научная