节点文献
基于握力特征量的驾驶员异常行为测控系统的研究
Research on Test Measurement System of Driver Abnormal Behavior Base on Grip Strength Characteristics
【作者】 吴岩;
【导师】 李冶;
【作者基本信息】 吉林大学 , 测试计量技术及仪器, 2010, 硕士
【摘要】 汽车作为现代主要交通工具给人们工作和生活带来了方便,它能快捷、舒适地提供出行条件,倍受人们的青睐,其发展速度也越来越快。2009年我国更是在全球经济复苏举步艰难的情况下成为全球汽车工业产销量第一的国家。然而,随着汽车数量的逐渐增加,交通安全等问题已经成为当今国际道路交通运输领域的难题,其中以人为因素为主的交通事故已成为导致交通安全问题的主要原因。为了降低交通安全事故的发生率,消除交通安全隐患,本文对驾驶员异常行为测控系统进行了研究。通过查阅大量有关测评驾驶员异常行为方法的国内外资料,并经过详细的分析和对比,本文提出了基于握力特征量的驾驶员异常行为测控系统。该系统以单片机为核心,分为通用模块和专用模块。通用模块适用于任何一位驾驶员,其主要任务是实现选择工作模式、采集握力信号、显示驾驶状态等功能。专用模块主要由U盘读写模块及U盘组成,其功能是存储和读取由通用模块采集的握力信息。系统将每位驾驶员在正常状态下的驾驶习惯信息记录在特定的U盘内,只要将专用模块与通用模块连接,系统便会利用专用模块中的参考数据与传感器采集的数据进行对比,并根据设定的规则来判断驾驶员的驾驶状态。当驾驶员处于异常状态时,系统将发出报警信号以提醒驾驶员注意安全行驶,从而实现“一人一参”的设计理念。经过模拟实验结果表明,该系统具有低功耗、低成本、全天候、抗干扰等优点,同时满足了系统实时性、准确性的要求,达到了预期的效果,也为将来产品实现商品化奠定了基础。
【Abstract】 As the main means of transport, it is convenient that car has brought to the modern work and life of people. Because it can quickly provide comfortable travel conditions, most of people like it and it develop faster and faster. However, with the number of vehicles increased gradually, many social problems followed. Traffic safety, traffic congestion and environmental pollution has become the three major problems in the field of international road transport, and traffic safety is the most serious one. Unlicensed driving, drink driving, fatigue driving have became the major factor leading to accident. The thesis takes the abnormal behavior of the test and measurement system as main study, in order to reduce the incidence of traffic safety accidents and eliminate safety hazards.In the paper, an abnormal behavior of the driver test and measurement system which based on grip strength characteristics has been proposed, by looking up large amount of material about judging the abnormal behavior of the driver at home and abroad, and then detailed analysis and contrast with these data. MCU is the core of the system which is divided into common module and special module. The main function of common module include selecting mode, collecting grip signal, displaying drive status, detecting low-voltage and alarming. The module is suitable for any driver, and it easy to achieve mass production. Special module contain memory interface circuit and U disk, which function is to store the grip information from common module. Each driver has a U disk to record himself driving habits, as long as the special module is linked to common module, the system will detect the driver’s driving status according to driver’s grip information. And when the driver is in abnormal state, the system will send alarm signals to alert drivers to pay attention to safe driving, so the concept that“one person one parameter”could carry out.After simulating, it shows that the system has advantages, such as low power consumption, low cost, all-weather, interference etc. The system achieved the desired results and laid the foundation for the future mass production,This article is divided into seven chapters, its structure and content as follows:Chapter I: The threat is acquaint from human factors on the traffic safety by looking up a large number of literature and statistical data about the development of cars and traffic safety. And it shows that the development of abnormal behavior of the driver test measurement system is very important in reducing the incidence of traffic accidents. The system is significant to eliminate potential safety problems.Chapter II: After looking up large amount of material about judging the abnormal behavior of the driver, then detailed analysis and contrast with these methods in the literature, at the same time to balance with the laboratory environment, finally an abnormal behavior of the driver control system which based on grip strength characteristics has been proposed.Chapter III: The overall design of the system proposed in this paper, "one person one parameter ", that is, the system can be different for each test driver for driving the driving habits of state judgments. The system is divided into common module and special module in the thesis. Common modules are used to collect system’s signal, display status and alarm, and special modules are used to store driver’s driving information. The memory of special modules can apply in different vehicle control system, so that the concept“one person one parameter”could carry out. Once the grip characteristics is abnormal, alert as sound, light or other warning message to the driver to take appropriate measures to avoid traffic accidents.Chapter IV: The design is based on MSP430F149 MCU, its system is divided into common module and special module. Common module includes the circuit for collecting tiny signal (pressure sensor circuit, signal condition circuit), ADC (analog-to-digital converter), Man-machine interface circuit (display circuit, keys, alarm, etc.), power circuit, brown-out-detection, and so on. Special module includes memory interface circuit and memory devices, while how to select the memory to do further research in the chapter.Chapter V: In the process of developing system software, IAR EW430 is taken as the development environment, while data protection process, storage process, reading U disk, operational process and process of monitoring state has developed respectively in the thesis.Chapter VI: In the process of testing system, handheld digital storage oscilloscope HDS1022M is used to debug on the power circuit, memory circuit and supervisory circuit. Firstly, the information of grip strength characteristics when driving in normal is measured by sensor group mounted on steering wheel, and the signal stored into special modules, then calculate these data stored to obtain reference data of abnormal states. When the system detects states, it will contrast the reference data in the special module with data collected by sensor, and then determine the driver’s driving states according to the rules by the author.Chapter VII: Here the main results of our study are summarized as well as inadequate and proposed direction for further research and development proposals.
【Key words】 Grip strength characteristics; abnormal behavior; detect status; real-time;