| 基于EMD载货汽车动态载荷信息处理技术 |
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| 引用本文： | 李世武,姚雪萍,孙文财,王琳虹,沙学峰.基于EMD载货汽车动态载荷信息处理技术[J].北京理工大学学报,2013,33(S1):187-190,191. |
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| 作者姓名： | 李世武 姚雪萍 孙文财 王琳虹 沙学峰 |
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| 作者单位： | 吉林大学 交通学院, 吉林, 长春 130025;吉林大学 交通学院, 吉林, 长春 130025;吉林大学 交通学院, 吉林, 长春 130025;吉林大学 交通学院, 吉林, 长春 130025;中国人民解放军装甲兵技术学校, 吉林, 长春 130017 |
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| 基金项目： | 国家教育部新世纪优秀人才支持计划项目(450091205147);吉林省科技厅基础资助项目(201105014);吉林省科技发展计划项目(20110131) |
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| 摘 要： | 为在载货汽车安全状态监测中获取真实稳定的载荷状态信息,对基于位移传感器的车辆载荷状态动态检测装置实时采集到的电压信号进行了处理. 根据载货汽车动态载荷信号的特点,以经验模态分解(EMD)算法为基础,去除传感器信号中的低频动态载荷,从而获得稳态的车辆载荷信息. 基于LabVIEW软件的编程功能,实现了对载货汽车动态载荷信息的处理及结果显示. 通过不同载重量、速度、路面环境条件的实车道路试验的验证,系统测量结果误差小于5%,满足实时监测车辆载荷状态的要求.
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| 关 键 词： | 信号处理 动态称重 位移传感器 经验模态分解(EMD) |
| 收稿时间： | 7/8/2013 12:00:00 AM |
Processing Technology for Truck Dynamic Load Information Based on EMD |
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| LI Shi-wu,YAO Xue-ping,SUN Wen-cai,WANG Lin-hong and SHA Xue-feng.Processing Technology for Truck Dynamic Load Information Based on EMD[J].Journal of Beijing Institute of Technology(Natural Science Edition),2013,33(S1):187-190,191. |
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| Authors: | LI Shi-wu YAO Xue-ping SUN Wen-cai WANG Lin-hong and SHA Xue-feng |
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| Institution: | College of Traffic, Jilin University, Changchun, Jilin 130025, China;College of Traffic, Jilin University, Changchun, Jilin 130025, China;College of Traffic, Jilin University, Changchun, Jilin 130025, China;College of Traffic, Jilin University, Changchun, Jilin 130025, China;Technology University of PLA Armored Force, Changchun, Jilin 130017, China |
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| Abstract: | To get stable vehicle load status information in the vehicle safety monitoring, the voltage signal was processed which is collected by real-time dynamic detection device for vehicle load status base on displacement sensors. According to the characteristics of dynamic load signal, dynamic loads of low frequency in sensor signal was removed by means of empirical mode decomposition (EMD) algorithm, so as to obtain steady vehicles load status information. The processing of cargo vehicle dynamic load information and the result-showing was realized based on the function of LabVIEW software programming. The real vehicle test validation with various load, speed, road environment conditions demonstrate that the measurement error of this system is less than 5%, which meets the requirement of real-time monitoring of vehicle load status. |
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| Keywords: | signal processing weigh-in-motion displacement sensor empirical mode decomposition (EMD) |
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