基于Android的汽车驾驶行为与行驶状态远程监测系统设计与实现
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摘要
随着移动互联网技术的快速发展,结合Android智能手机庞大的用户量,以及具有越来越强大的运算处理能力、支持丰富的硬件资源、简单直观的图形操作界面、方便快捷的上网等优点。为满足商用车联网对汽车驾驶行为与行驶状态的远程监测,设计并开发了基于Android的汽车驾驶行为与行驶状态远程监测系统。本系统由汽车、ELM327、Android APP、Web服务器4部分组成。汽车运行数据使用MySQL数据库进行存储,确保了数据的稳定性和安全性。以表格的形式来显示汽车运行参数及故障参数,满足了汽车驾驶人员及管理人员的远程监测。测试结果表明,该系统具有实时性好,通用性强,运行效率高等优点。
With the development of mobile Internet technology,combined with the Android smartphone having a huge amount of users and increasingly powerful computing capability,support rich hardware resources,simple and intuitive graphical user interface,quick and easy access to the Internet,and so on.In order to meet the commercial vehicle network on the car driving behavior and driving state of the remote monitoring,This paper designs and develops a remote monitoring system for driving behavior and driving state based on Android.The system consists of car,ELM327,Android APP,Web server four parts.To ensure the safety and stability of the data,MySQL database is used for storing the car running parameters.The car running parameters and fault parameters are displayed by the table,which satisfy driver and mangers' remote monitoring.Experimental results indicate that the designed system has the advantages of better real-time performance,stronger commonality and higher efficiency.
With the development of mobile Internet technology,combined with the Android smartphone having a huge amount of users and increasingly powerful computing capability,support rich hardware resources,simple and intuitive graphical user interface,quick and easy access to the Internet,and so on.In order to meet the commercial vehicle network on the car driving behavior and driving state of the remote monitoring,This paper designs and develops a remote monitoring system for driving behavior and driving state based on Android.The system consists of car,ELM327,Android APP,Web server four parts.To ensure the safety and stability of the data,MySQL database is used for storing the car running parameters.The car running parameters and fault parameters are displayed by the table,which satisfy driver and mangers' remote monitoring.Experimental results indicate that the designed system has the advantages of better real-time performance,stronger commonality and higher efficiency.
引文
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[15]金立生,李科勇,牛清宁,等.基于转向盘操作的疲劳驾驶检测方法[J].交通信息与安全,2014,32(5):103-107.
[2]曾锐利,肖云魁,周建新,等.汽车远程故障诊断与维修系统研究[J].电子测量技术,2009,32(7):129-131.
[3]XING H Y,ZHANG Q,JI X Y,et al.Hybrid inversion method for equivalent electric charge of thunder cloud based on multi-station atmospheric electric field[J].Instrumentation,2015,2(3):3-11.
[4]张怀坤,苑红晓.汽车故障远程诊断系统的设计和研究[C].全国测控、计量、仪器仪表学术年会,2010.
[5]胡杰,盛祥政,李洪飞,等.基于智能手机的汽车故障诊断系统研究与开发[J].汽车技术,2011(9):4-10.
[6]宋晓琳,郑亚奇,曹昊天.基于HMM-SVM的驾驶员换道意图辨识研究[J].电子测量与仪器学报,2016,30(1):58-65.
[7]KATZOURAKIS D I,VELENIS E,ABBINK D,et al.Race-Car instrumentation for driving behavior studies[J].IEEE Transactions on Instrumentation&Measurement,2012,61(2):462-474.
[8]EREN H,MAKINIST S,AKIN E,et al.Estimating driving behavior by a smartphone[C].Intelligent Vehicles Symposium,2012:234-239.
[9]张泽星,宗长富,马福良,等.基于多维高斯隐马尔可夫模型的驾驶员转向行为辨识方法[J].汽车技术,2011(7):1-3.
[10]唐勇,刘海波,张铁壁.基于小波技术的疲劳驾驶行为研究[J].仪表技术与传感器,2011,19(1):49-51.
[11]鲍健.汽车故障诊断技术的现状与发展趋势[J].科技资讯,2012,29(5):110-111.
[12]万蔚,王振华,王保菊.基于驾驶行为的疲劳驾驶判别算法研究[J].道路交通与安全,2016,12(6):21-24.
[13]吴从中,贺伟,汤润森.光照自适应的疲劳驾驶检测系统[J].电子测量与仪器学报,2012,26(1):60-66.
[14]胡月,黎海涛.基于WebGIS的雷电监测系统设计与实现[J].国外电子测量技术,2016,35(10):64-67.
[15]金立生,李科勇,牛清宁,等.基于转向盘操作的疲劳驾驶检测方法[J].交通信息与安全,2014,32(5):103-107.