摘要
为解决传统基于断面高程的平整度检测方法耗时费力、价格昂贵等问题,从系统响应的角
度出发,结合无线传感技术与谱密度分析法等,通过测量车辆悬架的振动变化推算了路面的平整
度,构建了平整度快速采集系统,包括数据采集设备、车载数据终端及信息处理应用。其中,利
用高精度三轴传感器采集车辆不同位点的振动信息,利用Zigbee 短程无线传输技术保证数据的实
时采集与稳定传输,利用数据标签实现多源信息融合,通过3G模块实现车辆数据与信息中心的
平台对接,借助加速度功率谱密度分析模型实时计算测量路段的平整度情况,并结合电子地图进
行发布与储存。现场试验证明:国际平整度指数与悬架振动的均方根值呈明显的多元线性关系;
与激光平整度仪检测数据相比,该系统的测量误差基本保持在10%以内,能够满足道路养护的精
度需求,适用于大范围的城市道路平整度测量。
Abstract
In order to solve the disadvantages of traditional profile-based roughness measurement meth⁃
ods, such as time consuming, strenuosity and high cost, a measurement system was proposed from the
perspective of system response, combined with wireless sensors technology. Pavement roughness system
was developed by calculating international roughness index using the vibration of vehicles suspension
system. Whereby, several high precision triaxial-acceleration sensors were used to collect vehicular vi⁃
bration data. To guarantee the stability of data transmission, a short-ranged wireless communication device Zigbee was applied. Data labels were proposed to conduct data fusion. A 3G module was utilized to
connect the vehicle data and information center. The acceleration power spectral density analysis was
conducted to evaluate the international roughness index (IRI), as well as published and stored the results
with e-map. The field tests demonstrate the multiple linear relationship between international roughness
index and vehicle suspension system vibration. Compared with the data measured by via laser roughness
detection devices, the measuring error of this system is basically under 10%, meeting the need of road maintenance activities, which is appropriate for wide range pavement roughness measurement.
关键词
道路工程 /
平整度检测 /
无线传感网络 /
谱密度分析 /
分布式传感器
Key words
road engineering /
IRI measurement /
wireless sensors network /
spectral density analysis /
distributed sensor
邓海斌,柳颖臣,杜豫川,刘成龙.
基于分布式传感器的路面平整度检测系统[J]. 交通运输研究. 2016, 2(2): 39-45
DENG Hai-bin,LIU Ying-chen,DU Yu-chuan and LIU Cheng-long.
Pavement Roughness Measurement System Based on
Distributed Sensors[J]. Transport Research. 2016, 2(2): 39-45
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