基于小波变换的路面平整度自适应提取算法  

Adaptive Extraction Algorithm of Pavement Roughness Based on Wavelet Transformation

作　　者：毛庆洲[1] 叶浩[1] 丁诗雄 章丽萍[1] 

机构地区：[1]武汉大学测绘遥感信息工程国家重点实验室,湖北武汉430079 [2]珠海市测绘院,广东珠海519000

出　　处：《中国公路学报》2015年第10期11-17,共7页China Journal of Highway and Transport

基　　金：国家自然科学基金项目(41201483);国家重点基础研究发展计划("九七三"计划)项目(2010CB732100)

摘　　要：为了解决传统基于加速度计惯性补偿的激光平整度测量算法在检测车变速运动环境下检测精度低且稳定性差的难题,提出一种基于小波变换的路面平整度测量数据精确处理的新算法。该算法首先利用车轮编码器信号对数据进行分段,然后充分利用各数据段之间的联系自适应地选取不同分解层数的小波变换对数据进行处理,提取有效的车体振动位移补偿激光测距值,得到完整的路面相对高程,最后计算得到路面国际平整度指数(IRI)。试验结果表明:提出的算法在不同速度和运行状态下均具有较好的适应性;相比于传统方法处理得到的结果,该算法具有更高的精度和稳定性,并且拓宽了基于惯性补偿的平整度测量方法的应用范围。In order to solve the traditional laser combined accelerometer inertial compensation roughness measurement＇s low accuracy and instability problems under the variable motion environment,aprecise pavement roughness measuring algorithm based on wavelet transformation was proposed.Firstly,this method segmented the data using wheel encoder signal,and then made full use with internal relationship between each subdata to self-adaptably choose the wavelet transformation of different decomposition layers to process the data and extract effective vibration displacement value to compensate the laser range and get the complete pavement relative elevation data,and finally calculated the pavement international roughness index（IRI）.The result shows that this algorithm has a good adaptability under different speeds and motion states.It can achieve higher accuracy and stability compared with the traditional processing method.The proposed algorithm can broaden the application of inertial compensation roughness measurement method effectively.

关 键 词：道路工程 路面平整度测量 小波变换 变速运动环境 

分 类 号：U418.6[交通运输工程—道路与铁道工程]