摘要
酒驾是车辆超速和鲁莽驾驶的主要原因之一,为了预防酒驾而导致的交通事故频发,设计一套汽车自动识别酒驾与事故报警系统。采用酒精传感器来检测驾驶员的酒精含量情况,并在此基础上集成板载压力传感器、MEMS传感器和摄像机以增强对事故的等级识别,最后通过车载GPS获取车辆位置信息,经安装在车上的Raspberry pi3板以及腾讯云服务,将事故警报发送到已注册的手机上。此外,系统可加装适用于短距离精确测量的FMCW雷达,用于车辆防撞的提前预警。设计的系统不仅可以杜绝酒驾,还可以在突发事故发生时第一时间确定事故原因和等级,从而有效提升驾驶人员的安全性、事故处理的实时性,最大程度地降低交通事故的百分比。
Vehicle speeding and reckless driving are the main causes of traffic accidents.In order to prevent frequent traffic accidents caused by drunken driving,this paper designs a set of vehicle automatic recognition drunken driving system and accident alarm system.In this research the alcohol sensors are used to detect the real-time driving conditions of the driver.As information flow is critical in the event of an accident,pressure sensor and MEMS sensor are integrated on this device,which can be improve the recognition effect when an accident occurs.Finally the vehicle location information is obtained through the on-board GPS.The incident alert is sent to the registered mobile phone through the Raspberry pi3 board and Tencent cloud service installed in the car.In addition,the system can be mounted in the suitable for short distance,accurate measurement of FMCW radar used for vehicle collision avoidance warning ahead of time.The design of the system can put an end to drunk driving and when the accident happens it takes the first time to determine the cause of the accident and rank,thus effectively improve the safety of drivers,accident treatment of real-time,the greatest degree of reduce the percentage of the traffic accident.
作者
李莎莎
李娟
LI Shasha;LI Juan(Heilongjiang Institute Technology,Harbin 150050,China;Harbin Engineering University,Harbin 150001,China)
出处
《黑龙江工程学院学报》
CAS
2021年第4期20-23,共4页
Journal of Heilongjiang Institute of Technology
基金
国家自然科学基金资助项目(51609046)
黑龙江省教育科学“十三五”规划2017年度备案课题(GBD1317085)
黑龙江工程学院2019年度教育教学改革研究项目(JG201923)
黑龙江工程学院博士基金(2017BJ32)。
