期刊文献+

基于加速度传感器的智能小车路况自动测量系统 被引量:5

Automatic road condition measuring system for intelligent small car based on accelerometer sensor
下载PDF
导出
摘要 针对路面平整度的自动测量问题,结合工程实际中路面勘测的需要,设计了一套智能小车系统,实现路面坡度的自动测量和预警。ADXL345加速度传感器用于测量三轴加速度,实现了路面坡度的自动获取;蓝牙模块用于在计算机和小车之间进行数据的传送,实现了智能小车运动的远程控制以及计算机对坡度信号的接收;脉宽调制(PWM)方式用于对电机进行速度闭环控制,实现了智能小车测量路况时的低速运行;Matlab软件用于对坡度值的读取、处理以及绘图,实现了路面坡度坐标图和路面示意图的绘制,直观地反映了路况。通过判断所测坡度值与临界值的大小,实现了大坡度危险路况下的自动预警。研究结果表明,该智能小车路况测量系统能满足实际路况的自动检测、低速运行、示意路面总体状况和预警等功能的要求。 Aiming at the problem of measuring road condition automatically, an intelligent small car was designed to measure road's gradient. The accelerometer sensor ADXL345 was used to collect data of road's gradient automatically. The Bluetooth module was adopted to realize the communication between a small car and a personal computer. Thus controlling the car wirelessly and returning the data of road's gradient back to PC. Pulse width modulation(PWM)control was used to realize close-loop speed control and ensure the low speed of a small car. Matlab was used to make graphs of road's condition, which shown the variation of roads" altitude. Warning alarm would be set off if road's gradient was beyond a safe level. The results indicate that the measuring system can satisfy the requirements of data collecting,low-speed running, graphs making, safety warning and other functions referred to above.
出处 《机电工程》 CAS 2012年第10期1163-1166,1194,共5页 Journal of Mechanical & Electrical Engineering
关键词 加速度传感器 智能小车 路况自动测量系统 ADXL345 accelerometer sensor intelligent small car automatic road condition measuring system ADXL345
  • 相关文献

参考文献10

二级参考文献42

共引文献223

同被引文献31

  • 1蒙建波,虞建静,管金库.智能小车目标识别跟踪系统的实现[J].重庆大学学报(自然科学版),2004,27(9):45-48. 被引量:18
  • 2朱西产 ,LI Meng-liang ,马志雄 ,张富兴 ,艾国和 .车辆行驶工况开发方法[J].江苏大学学报(自然科学版),2005,26(2):110-113. 被引量:41
  • 3周晓青,孙立军,颜利.路面平整度评价发展及趋势[J].公路交通科技,2005,22(10):18-22. 被引量:76
  • 4HAMZHEEL M, FARAHANI R Z. An ant colony-based al- gorithm for finding the shortest bidirectional path for automa- ted guided vehicles in a block layout [ J ]. International Journal of Advanced Manufacturing Technology, 2013, 64(1-4) :399-409. 被引量:1
  • 5SOK Y L, HAI W Y. Navigation of automated guided vehi- cles using magnet spot guidance method [ J ]. Robotics and Computer-Integrated Manufacturing, 2012,28 ( 3 ) : 425- 436. 被引量:1
  • 6YING C H, TAW L. Zone design and control for vehicle collision prevention and load balancing in a zone control AGV system [ J ]. Computers & Industrial Engineering, 2009,56( 1 ) :417-432. 被引量:1
  • 7LIANG J H, RAO Z Q. Research and I mplmentation of vis- ual control technology with AGV [ C ]//Proceeding of the 2011 IEEE International Conference on Electric Information and Control Engineering. Wuhan: [s. n. ] ,2011:1588-1591. 被引量:1
  • 8RAJEEVA L M, WEE H G, NG W C, et al. Cyclic dead- lock prediction and avoidance for zone-controlled AGV sys- tem [ J ]. International Journal of Production Econom- ics,2003,83 ( 3 ) :309-324. 被引量:1
  • 9CHE F H. A simulation study of a bi-directional load-ex- changeable automated guided vehicle system[ J]. Comput- ers & Industrial Engineering, 2010,58 (4) : 594-601. 被引量:1
  • 10景全,费旭峰等.工程实践创新项目教程[M].北京:中国铁道出版社,2013. 被引量:1

引证文献5

二级引证文献16

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部