基于物联网的车辆碰撞监测系统设计与研究
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摘要
针对当前高速路车祸频发,难以对事故发生地准确快速定位而导致救援响应滞后的现状,提出了一种基于物联网的车辆碰撞监测定位系统;其搭载的加速度智能螺栓传感器能有效感知碰撞物理信号,数据传输模块中将LoRa技术和4G传输的结合实现了信号的远程同步实时传输,监测系统平台阈值隔离算法能有效分辨干扰信号和碰撞信号;经测试:该系统实现了对监测路段范围的有效实时监控,软件平台能在20秒内通过对碰撞信息的快速处理判断车祸所发生的具体位置、严重程度及发生时间等车祸信息,对于进一步提升高速路车祸救援响应效率、保障人民的生命财产安全具有重要的指导意义。
In view of the current highway traffic accident,it is difficult to accurately and quickly locate the accident,which leads to the lag of the rescue response.A vehicle collision monitoring and positioning system based on the Internet of things is proposed,the collision physical signal can be perceived by intelligent bolt acceleration sensor.LoRa technology and the 4 Gtransmission were combined to realize the remote synchronous real-time transmission of the signal in the data transmission module.Based on the threshold isolation algorithm of detection system platform,the signal of interference and collision can be distinguished effectively.Experimental results show that the detection system has realized the effective scope of monitoring sections with real-time,which the information of traffic accident about specific location,severity and time of occurrence can be judged effectively within 20 seconds,which has important directive significance to improve the efficiency of rescue response and ensure the safety of life.
In view of the current highway traffic accident,it is difficult to accurately and quickly locate the accident,which leads to the lag of the rescue response.A vehicle collision monitoring and positioning system based on the Internet of things is proposed,the collision physical signal can be perceived by intelligent bolt acceleration sensor.LoRa technology and the 4 Gtransmission were combined to realize the remote synchronous real-time transmission of the signal in the data transmission module.Based on the threshold isolation algorithm of detection system platform,the signal of interference and collision can be distinguished effectively.Experimental results show that the detection system has realized the effective scope of monitoring sections with real-time,which the information of traffic accident about specific location,severity and time of occurrence can be judged effectively within 20 seconds,which has important directive significance to improve the efficiency of rescue response and ensure the safety of life.
引文
[1]交通运输部.2016年交通运输行业发展统计公报[N].中国交通报,2017-04-17(002).
[2]陈文辉,郑晟,李武杰.基于加速度的车祸报警系统的设计与实现[J].电子设计工程,2011,19(08):71-73,80.
[3]黄飞.城市快速路冰雪路面交通事故演化机理研究[D].吉林:吉林大学,2017.
[4]卢玲,谢尉鸿.基于碰撞信号的车祸碰撞检测系统设计[J].计算机测量与控制,2013,21(10):2664-2666.
[5]廖文婧.车辆碰撞信号插值补偿算法仿真[J].计算机仿真,2013,30(06):190-193.
[6]吴清扬.车联网环境下高速公路异常事件识别系统[D].北京:北京理工大学,2015.
[7]《中国公路学报》编辑部.中国汽车工程学术研究综述·2017[J].中国公路学报,2017,30(06):1-197.
[8]雷正保.汽车纵向碰撞控制结构设计的理论与方法研究综述[J].振动与冲击,2001(01):40-42,13,97.
[9]刘晶.基于加速度传感器的车祸报警与定位系统的设计与实现[D].北京:北京工业大学,2014.
[10]顾陈耀,陆兴华,郭华锋.车祸自动定位报警系统的设计与实现[J].电子设计工程,2011,19(09):141-143.
[11]王洪峰.城市道路汽车防碰撞系统障碍物识别算法及应用研究[D].吉林:吉林大学,2016.
[12]杨亚男.基于信息融合的车辆防碰撞控制算法研究[D].锦州:辽宁工业大学,2016.
[13]李斌.基于视频图像处理的汽车防碰撞系统研究[D].武汉:武汉理工大学,2014.
[14]GB/T 20913-2007,乘用车正面偏置碰撞的乘员保护[S].
[15]JT/T 281-2007,公路波形梁钢护栏[S].
[16]王阳,温向明,路兆铭,等.新兴物联网技术---LoRa[J].信息通信技术,2017,11(01):55-59,72.
[2]陈文辉,郑晟,李武杰.基于加速度的车祸报警系统的设计与实现[J].电子设计工程,2011,19(08):71-73,80.
[3]黄飞.城市快速路冰雪路面交通事故演化机理研究[D].吉林:吉林大学,2017.
[4]卢玲,谢尉鸿.基于碰撞信号的车祸碰撞检测系统设计[J].计算机测量与控制,2013,21(10):2664-2666.
[5]廖文婧.车辆碰撞信号插值补偿算法仿真[J].计算机仿真,2013,30(06):190-193.
[6]吴清扬.车联网环境下高速公路异常事件识别系统[D].北京:北京理工大学,2015.
[7]《中国公路学报》编辑部.中国汽车工程学术研究综述·2017[J].中国公路学报,2017,30(06):1-197.
[8]雷正保.汽车纵向碰撞控制结构设计的理论与方法研究综述[J].振动与冲击,2001(01):40-42,13,97.
[9]刘晶.基于加速度传感器的车祸报警与定位系统的设计与实现[D].北京:北京工业大学,2014.
[10]顾陈耀,陆兴华,郭华锋.车祸自动定位报警系统的设计与实现[J].电子设计工程,2011,19(09):141-143.
[11]王洪峰.城市道路汽车防碰撞系统障碍物识别算法及应用研究[D].吉林:吉林大学,2016.
[12]杨亚男.基于信息融合的车辆防碰撞控制算法研究[D].锦州:辽宁工业大学,2016.
[13]李斌.基于视频图像处理的汽车防碰撞系统研究[D].武汉:武汉理工大学,2014.
[14]GB/T 20913-2007,乘用车正面偏置碰撞的乘员保护[S].
[15]JT/T 281-2007,公路波形梁钢护栏[S].
[16]王阳,温向明,路兆铭,等.新兴物联网技术---LoRa[J].信息通信技术,2017,11(01):55-59,72.