埃塞俄比亚驾驶员酒精检测传感器车辆发动机锁系统设计与仿真
摘要:
在埃塞俄比亚,四分之一(1/4)的道路交通事故死亡与酒精有关。酒驾不仅是埃塞俄比亚的交通事故,也是全球主要的交通事故问题。如今,众所周知,全球大部分交通事故是由于驾驶员的不规则驾驶和不当驾驶造成的。这种情况完全是人们不愿看到的,但却是事实。因此,我们提出了一个项目,利用Arduino Uno微控制器以机械方式锁定汽车发动机,以防任何酒驾者试图驾驶汽车/公共汽车/任何其他锁定发动机的交通系统。本研究开发了一个酒精检测和锁定发动机的模拟系统,该系统使用一个连接酒精传感器的Arduino Uno微控制器,结合LCD显示器和直流电机来演示这一概念。该系统使用MQ-3酒精传感器持续监测血液酒精含量(BAC),以检测驾驶员呼气中是否存在酒精。通过将传感器放置在方向盘上,我们的系统能够持续检查驾驶员呼气中的酒精含量。如果传感器检测到驾驶员呼出的气体中含有酒精,车辆将无法启动。此外,如果驾驶员在驾驶时饮酒,传感器仍然会检测到其呼出的气体中含有酒精,并停止发动机,使车辆无法进一步加速,驾驶员可以将车停在路边。
Abstract: In Ethiopia one quarter (1/4) of all road car accident deaths are associated with alcohol. Drank driver are the major problem of car accident in the world not only in Ethiopia. Now a days it has been a known truth which major part of the car accidents in the world are due to the uneven interruptions, inappropriate driving by the drivers . It’s a totally unwanted scenario which is true. Therefore the project has been proposed to mechanically lock the motor of the automobile with the use of Arduino Uno microcontroller, if any alcoholic person tries to drive the car/bus/any other engine lock transportation system. This study developed a simulation of alcohol detection and engine locking system by using an Arduino Uno microcontroller interfaced with an alcohol sensor in conjunction with an LCD display and a DC motor to illustrate the concept. The system uses MQ-3 alcohol sensor to continuously monitor the blood alcohol content (BAC) to detect the existence of liquor in the exhalation of a driver. By placing the sensor on the steering wheel, our system has the capacity to continuously check alcohol level from the driver’s breath. The ignition will fail to start if the sensors detect content of alcohol in the driver’s breath. Additionally, if the driver drinks alcohol while driving, the sensor will still detect alcohol in his breath and stop the engine so that the car cannot accelerate any further and the driver can park by the roadside.
文章引用:陈军. 埃塞俄比亚驾驶员酒精检测传感器车辆发动机锁系统设计与仿真[J]. 智能技术与应用创新, 2023, 1(1): 1-4.
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参考文献
[1] 朱玉林. 用于驾驶员困倦和酒精中毒的实时嵌入式系统应用. 国际工程趋势与技术杂志, 2014, 10(9).
[2] 谭伟卫. 使用多个非侵入式传感器对现实世界场景中的驾驶员行为进行建模. IEEE 多媒体学报, 2013, 15(5): 1213-1225.
[3] 汪洋. 用于驾驶员疲劳的计算机视觉系统. 国际电子与通信工程高级研究杂志, 2015, 4(9): 2331-2334.
[4] 林诗诗. 基于 ARM 的人脸识别设计. 国际计算机工程与技术高级研究杂志, 2012, 1(9): 233-240.