Vehicle Alcohol Detection System Based On Internet of Things Technology

Abstract

In recent years, traffic accidents caused by drunk driving have occurred frequently. In order to effectively monitor and prevent drivers' drunk driving behavior, we designed this set of vehicle-based alcohol detection system based on Internet of Things technology. The system uses STC12C5A60S2 single-chip microcomputer as the main controller, uses MQ-3 alcohol sensor to collect air alcohol concentration data, and uses GU900E as GPRS module for wireless communication. When the driver enters the driving position, the system automatically performs alcohol detection. When the drunk driving standard is reached, the system uses the relay to control the vehicle to ban, triggers the sound and light alarm, and uses the GU900E to perform base station positioning, and finally sends the SMS containing the GPS information to the driver. Family. The experimental results show that the system is economical, practical, accurate and reliable.