Han Jin, Xiong Gao, Liu Jia
School of Mechanical Engineering, Shaanxi University of Technology, Hanzhong 723001, China.
Sensors (Basel). 2023 Jul 28;23(15):6758. doi: 10.3390/s23156758.
The section detection of the pavement is the data basis for measuring the road smoothness, rutting, lateral slope, and structural depth. The detection of the Pavement-Section includes longitudinal-section inspection and cross-section inspection. In this paper, based on multiple laser displacement sensors, fused accelerometers and attitude sensors, and using vehicle-mounted high-speed detection, we design a sensor-fused pavement section data acquisition method, establish the relevant mathematical model, and realize the automatic acquisition of pavement longitudinal and transverse sections. The acceleration sensor is filtered to improve the accuracy of data acquisition, and the error of the detection system is calculated and analyzed. Through the actual measurement, the vehicle-mounted high-speed pavement profile detection method adopted in this paper can not only accurately detect the profile of the pavement profile, but also improve the detection efficiency, providing a cost-effective detection mode for road surface detection.
路面断面检测是测量道路平整度、车辙、横向坡度和结构深度的数据基础。路面断面检测包括纵断面检测和横断面检测。本文基于多个激光位移传感器、融合加速度计和姿态传感器，采用车载高速检测方式，设计了一种传感器融合的路面断面数据采集方法，建立了相关数学模型，实现了路面纵断面和横断面的自动采集。对加速度传感器进行滤波处理以提高数据采集精度，并对检测系统的误差进行计算和分析。通过实际测量，本文采用的车载高速路面轮廓检测方法不仅能够准确检测路面轮廓，还能提高检测效率，为路面检测提供了一种经济高效的检测模式。
