路面检测技术综述

马建; 赵祥模; 贺拴海; 宋宏勋; 赵煜; 宋焕生; 程磊; 王建锋; 袁卓亚; 黄福伟; 张健; 杨澜

路面检测技术综述

1.
长安大学陕西省道路交通智能检测与装备工程技术研究中心, 陕西西安 710064
2.
徐州徐工随车起重机有限公司, 江苏徐州 221004
3.
中国交通建设股份有限公司西北区域总部, 陕西西安 710065
4.
招商局重庆交通科研设计院有限公司, 重庆 400067
5.
陕西省高速公路建设集团公司, 陕西西安 710065

基金项目:

高等学校学科创新引智计划项目 B14043

国家重点研发计划项目 2017YFCO804800

陕西省重点研发计划项目 2017ZDXM-SF-091

详细信息

作者简介:
马建(1957-), 男, 陕西西安人, 长安大学教授, 工学博士, 从事交通运输研究

中图分类号: U416.2
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出版历程
- 收稿日期: 2017-11-02
- 刊出日期: 2017-10-25

Review of pavement detection technology

1.
Shaanxi Road Traffic Intelligent Detection and Equipment Engineering Technology Research Centre, Chang'an University, Xi'an 710064, Shaanxi, China
2.
XCMG Xuzhou Truck-Mounted Crane Co., Ltd., Xuzhou 221004, Jiangsu, China
3.
Northwestern Regional Headquarter of China Communications Construction Co., Xi'an 710065, Shaanxi, China
4.
China Merchants Chongqing Communications Technology Research and Design Institute Co., LtD., Chongqing 400067, China
5.
Shaanxi Provincial Expressway Construction Group Co., Xi 'an 710065, Shaanxi, China

More Information

Author Bio:
MA Jian(1957-), male, professor, PhD, majian@chd.edu.cn

摘要

摘要: 总结了路面检测重要研究成果, 分析了路面损坏、平整度、车辙、抗滑性能(构造深度) 和结构强度(弯沉) 检测技术的发展现状, 研究了路面检测技术的不足与发展方向。研究结果表明: 国内外路面检测技术的发展经历了3个阶段, 从早期传统的人工检测到20世纪末的半自动化检测, 发展到目前的无损自动检测; 无损自动检测的主要特点是快速与智能化, 采用多源传感器协同工作, 并且集成在多功能道路检测车上, 能够同时检测路面损坏、平整度、车辙、抗滑性能和结构强度以及道路线形与沿线设施等; 在路面损坏检测方面, 采用数字图像检测技术, 实现了路面裂缝的快速检测; 在路面平整度检测方面, 采用激光位移传感技术, 实现了快速自动化检测; 在路面车辙检测方面, 采用激光和数字图像技术, 实现了非接触智能化检测; 在路面抗滑性能和结构强度检测方面, 建立了铺砂法与贝克曼梁法检测结果的相关关系, 实现了基于激光技术的路面构造深度与弯沉快速检测; 为了减少外界因素对现有检测技术和检测设备的干扰, 提高检测信号的信噪比, 应该开发适合各种工况下的路面检测和数据处理方法, 实现路面检测高效化与智能化。
- 路面检测 /
- 平整度 /
- 车辙 /
- 构造深度 /
- 裂缝 /
- 弯沉
Abstract: The important research results of pavement detection were summarized. The development state of technology detecting the damage, roughness, rutting, skid resistance (structure depth) and structural strength (deflection) of pavement was analyzed.The shortage and development direction of pavement detection technology were studied.Research result indicates that the development of pavement detection technology at home and abroad hasexperienced three stages: early traditional manual detection, semi-automatic detection at the end of 20 th century and nondestructive automatic detection at present.The main features of nondestructive automatic detection are rapidness and intellectualization, and the damage, roughness, rutting, skid resistance and structural strength of pavement as well as the alignments and facilities of roads are detected simultaneously because multi-source sensors work together and are integrated in the multi-purpose road test car.In term of pavement damage detection, digital image detection technology is used for the rapid detection of pavement cracks.In term of pavement roughness detection, laser displacement sensing technology is used to realize fast automatic detection.In term of pavement rutting detection, laser and digital image technology are used to realize noncontact intelligent detection.In terms of skid resistance detection and structural strength detection of pavement, the correlativity between the results detected by using sand paving method and Beckman beam method is established to realize the rapid detection of structure depth and deflection of pavement based on laser technology.In order to reduce the interference of external factors to the existing detection technology and detection equipment, and to improve the signal to noise ratio of detection, the road detection and data processing methods suitable for various working conditions should be developed to realize the high efficiency and intellectualization of pavement detection.
- pavement detection /
- roughness /
- rutting /
- structure depth /
- crack /
- deflection

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参考文献(89)

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