Table of Content

Open Access iconOpen Access

ARTICLE

crossmark

Design and Research of Intelligent Alcohol Detector Based on Single Chip Microcomputer

by Xiaokan Wang, Qiong Wang

Henan Mechanical and Electrical Vocational College, Zhengzhou, 451191, China

* Corresponding Author: Xiaokan Wang. Email: email

Journal on Internet of Things 2020, 2(3), 121-127. https://doi.org/10.32604/jiot.2020.010200

Abstract

In order to prevent drunk driving timely and protect personal safety, a kind of vehicle-loaded alcohol concentration detector based on single chip microcomputer control is designed. The detector usesAT89C51 microcontroller as the core, makes use of the gas sensor, A/D converter to detect the alcohol concentration of the breath of the driver, can set different thresholds according to the space of the car model, automatically cut off the ignition circuit for the exceeded threshold, and has the sound and light alarm function, which fundamentally solve the problem of drunk driving. The instrument is compact in size, stable in performance, convenient in installation and debugging, and of practical significance.

Keywords


Cite This Article

APA Style
Wang, X., Wang, Q. (2020). Design and research of intelligent alcohol detector based on single chip microcomputer. Journal on Internet of Things, 2(3), 121-127. https://doi.org/10.32604/jiot.2020.010200
Vancouver Style
Wang X, Wang Q. Design and research of intelligent alcohol detector based on single chip microcomputer. J Internet Things . 2020;2(3):121-127 https://doi.org/10.32604/jiot.2020.010200
IEEE Style
X. Wang and Q. Wang, “Design and Research of Intelligent Alcohol Detector Based on Single Chip Microcomputer,” J. Internet Things , vol. 2, no. 3, pp. 121-127, 2020. https://doi.org/10.32604/jiot.2020.010200



cc Copyright © 2020 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 3552

    View

  • 2864

    Download

  • 0

    Like

Share Link