摘要
为了实现水泥混凝土路面刻槽磨损程度的自动检测,基于激光三角法实现了路面三维信息的采集与处理。结合刻槽三维数据的特点,通过数据插值技术和曲面拟合获取了刻槽区域的并行曲面,并建立了刻槽的三维空间模型,采用双重均值的方法实现了刻槽区域平均构造深度的计算。设计试验对三维检测方法和铺砂法进行了对比分析,试验结果表明,本文提出的三维检测方法比铺砂法有更好的稳定性;两种方法的检测结果绝对误差大部分集中在0.1 mm以内,且相关性高,从而证明了三维检测方法有一定的准确性和可靠性,可用于刻槽区域磨损程度的自动检测。
In order to realize the automatic detection of the groove wear degree on cement concrete pavement, pavement 3D information acquisition and processing was realized based on laser triangulation method. Taking the characteristics of groove 3D data into considera- tion, data interpolation and surface fitting were combined to obtain the concurrent surface of detected groove zone. The tridimensional space model of groove was established and the mean texture depth was calculated using hi-calculation of mean values. Experiments were designed and carried out to compare the 3D detection method with the sand patch method. The experimental resuhs showed that the 3D detection method indicated higher stability compared with the traditional sand method. Most of the absolute errors of measure results u- sing two methods were within 0. 1 mm, indicating the high correlation. The 3D detection method has certain accuracy and reliability, which can be used for the automatic detection of groove zone wear degree.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2015年第8期1767-1773,共7页
Chinese Journal of Scientific Instrument
基金
交通部西部交通建设科技(2011318490750)
国家自然科学基金(51408045)
中央高校基本科研业务费(2013G3242007
310824152103)项目资助
关键词
刻槽磨损程度检测
三维检测
水泥混凝土路面
平均构造深度
并行曲面
双重均值
groove wear degree detection
3D detection
cement concrete pavement
mean texture depth
concurrent surface
bi-calculation of mean values
