10.16638/jki.1671-7988.2020.12.077
一种基于汽车安全气囊电脑的车辆事故取证方法*
吴神培,李岳,陈文进,沈顺孝
(柏科智能(厦门)科技有限公司,福建厦门361021)
摘要:随着汽车产业的快速发展,我国汽车数量日益增加,根据公安部相关数据显示,截止去年底,我国机动车保有数量3.2亿余量,驾驶机动车的人数达到了3.8亿,随着而来的交通事故数也越来越多。发生事故后,对于车辆的取证需求也越来越多。目前对于事故车的取证方法还是沿用传统的取证方法,该方法存在效率低、数据误差等问题。安全气囊电脑中存储大量车辆相关的数据,对于事故取证和事故原因分析有较大价值。文中提出了一种基于汽车安全气囊电脑的取证方法,从安全气囊电脑中可以提取到EDR数据,EDR记录车辆碰撞前和碰撞后数据,为交通事故案件分析提供重要数据,提高案件的办理效率,节约案件调查的人力物力成本。
关键词:安全气囊电脑;黑匣子;EDR
中图分类号:C37 文献标识码:B 文章编号:1671-7988(2020)12-249-04
汽车安全气囊系统An Overview Of Evidence Collection For Airbag Control Module*
Wu Shenpei, Li Yue, Chen Wenjin, Shen Shunxiao
( Ipico(Xiamen) Technologies Co., Ltd, Fujian Xiamen 361021 )
Abstract: With the rapid development of the automobile industry, the number of automobiles in China is increasing day by day. According to the relevant data of the Ministry of public security, by the end of last year, the number of motor vehicles in China has reached 320 million, the number of driving motor vehicles has reached 380 million, and the number of traffic accidents is also increasing. After the accident, there is more and more demand for vehicle forensics. At present, the traditional forensics method is still used for the accident vehicle forensics, which has the problems of low efficiency and data error. A large number of vehicle related data are stored in the airbag control module, which is of great value for accident evidence collection and accident cause analysis. This paper puts forward a method of evidence collection based on automobile airbag control module, which can extract EDR data from airbag control module, EDR records the data before and after vehicle collision, provides important data for traffic accident case analysis, improves case handling ef
ficiency, and saves human and material cost of case investigation.
Keywords: Airbag Control Module; Black Box; DER
CLC NO.:C37 Document Code:B Article ID: 1671-7988(2020)12-249-04
1 汽车安全气囊电脑简介
汽车安全气囊电脑(Airbag Control Module)是气囊系统的控制中心,其作用是接收碰撞传感器及其他各传感器输入的信号,判断是否点火引爆气囊充气,并对系统故障进行自诊断[1]。气囊电脑部件主要包括:碰撞传感器、EEPROM存储芯片、爆管驱动集成电路和微处理器。
作者简介:吴神培(1979-),男,学士,就职于柏科智能(厦门)
科技有限公司,主要研究方向为汽车取证。基金项目:广州市科技
计划项目(2019030017)。
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