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Research on User Vehicle Operation Regularity

机译:用户车辆运行规律研究

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Engineering Questions and Research Objective During vehicle development, engineers often set vehicle design targets based on the reports from market investigation, benchmarking, testing or users' feedbacks. However, such reports, which can not provide quantitative, accurate data on vehicle running information, may cause over-design or insufficient design problems. In this paper, a method on how to collect vehicle running information and analyze user operation habits and cars' running regularity is researched in order to solve the problems. Methodology By investigating engineers' requirements and vehicle specifications, the information collection scheme was determined and analysis arithmetic was designed. Secondly, according to collection requirements analysis and network capacity analysis, the on-board information collection device was produced and background service system was built. Thirdly, database was established using the collected vehicle running information. Fourthly, vehicle operation regularity and user driving habits was found out by submitting enormous data to arithmetic program and analyzing it. Results Vehicle running analysis model was made and database was built. Analysis results provide the basis for vehicle top-down design and design improvement. Limitations of this study Due to the limitation number of vehicle samples, the analysis results represent only part of vehicle running information. What does the paper offer that is new in the field: The device can comprehensively collect signals from CAN/LIN BUS and from various sensors. The acquired data can be packed and uploaded to sever via 3G network. Conclusion This study proved the methodology of vehicle running information collection and data process is feasible. The device could not only collect and store plenty of data, but also upload the data files to sever. By using the arithmetic program, data could be analyzed. The analysis results of user operation habits and vehicle running regularity provide important references for vehicle design. For long-term work, consistent and extensive collection work needs to be done in order to acquire more accurate statistical data.
机译:工程问题和研究目标在车辆开发过程中,工程师通常根据市场调查,基准测试,测试或用户反馈的报告来设定车辆设计目标。但是,此类报告无法提供有关车辆行驶信息的定量,准确的数据,可能会导致设计过度或设计不足。为了解决这些问题,本文研究了一种收集车辆行驶信息,分析用户操作习惯和车辆行驶规律的方法。方法论通过调查工程师的要求和车辆规格,确定信息收集方案并设计分析算法。其次,根据采集需求分析和网络容量分析,生产了车载信息采集装置,并建立了后台服务系统。第三,利用收集到的车辆行驶信息建立数据库。第四,通过向运算程序提交大量数据并对其进行分析,找出了车辆的运行规律性和用户驾驶习惯。结果建立了车辆行驶分析模型,并建立了数据库。分析结果为车辆自上而下的设计和设计改进提供了基础。本研究的局限性由于车辆样本数量的限制,分析结果仅代表了部分车辆行驶信息。本文提供了该领域的新功能:该设备可以全面收集来自CAN / LIN BUS和各种传感器的信号。采集的数据可以打包并通过3G网络上传到服务器。结论这项研究证明了车辆行驶信息收集和数据处理的方法是可行的。该设备不仅可以收集和存储大量数据,还可以将数据文件上传到服务器。通过使用该算术程序,可以分析数据。用户操作习惯和车辆行驶规律的分析结果为车辆设计提供了重要参考。对于长期工作,需要进行一致且广泛的收集工作,以获取更准确的统计数据。

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