摘要
提出了基于惯性基准多传感器综合的路面不平度检测方法,对测量平台的多路加速度信号进行去均值、数字积分和去趋势项处理,计算获得测量平台的精确垂直位移,然后利用提出的路面不平度测量方法完成了路面不平度的测量.针对多数据段拼接问题提出了信号局部基准调整的自适应方法,利用此方法实现了路面不平度的精确测量.通过对比试验证明此方法检测精度较高,完全可以满足工程实践应用.
A road roughness measurement method based on multi-sensor data comprehension of inertia benchmark is proposed.Firstly calculated the precise vertical displacement of measurement platform by removal of the mean,the digital integral and removal of trend item of the paths acceleration signal.Secondly using the road roughness measurement method for the road roughness measurement.An adaptive method of local signal benchmark adjustment is out forward aiming at the data splicing problem to realize the precise measurement of road roughness by this method.The comparative experiments show that the method has high measurement precision and could completely meet the requirement of engineering application.
出处
《武汉大学学报（工学版）》
CAS
CSCD
北大核心
2012年第3期361-365,共5页
Engineering Journal of Wuhan University
基金
国家863项目(编号:2006AA110116)
中央高校基本科研业务费专项资金(编号:CHD2011JC147)
国家西部交通建设科技项目(编号:200431881213)
关键词
惯性基准
不平度
数据综合
测量
传感器
inertia benchmark
roughness
data comprehension
measurement
sensor
