基于空间信息技术的路隧病害一体化监测车的原理分析
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摘要
基于空间信息技术的路隧病害一体化监测车是通过整合空间技术、公路、病害一体化监测技术发展而来的新型特种车辆,具有路网病害可视化,监测高效化,数据传输及时准确化等功能。本文总结了现有的3种一体化监测技术,分析我国多功能监测车的使用现状,并通过实际检监测数据详解一体化监测车的工作原理,认为相对于传统检测技术,现有的基于空间技术的路隧病害一体化监测车在硬件和软件方面均具有明显优势,本文为早日研发在各级公路的监测工作实现更先进的监测手段提供参考。
The highway tunnel disease integrated testing vehicles based on spatial information technology is a new type of special vehicle developed through integration of space,road and disease monitoring technology,and has the functions of road network disease visualization,monitoring efficiency,data transmission timely and accurately. This paper summarizes the existing three kinds of integrated monitoring technologies,analyzes the application status of multi-function monitoring vehicles in China,and explains the principle of integrated monitoring vehicle through actual monitoring data. Compared with the traditional detection technology,the highway tunnel disease integrated testing vehicle has obvious advantages in both hardware and software. This article provides more advanced monitoring methods for early research and development of monitoring at all levels of roads.
The highway tunnel disease integrated testing vehicles based on spatial information technology is a new type of special vehicle developed through integration of space,road and disease monitoring technology,and has the functions of road network disease visualization,monitoring efficiency,data transmission timely and accurately. This paper summarizes the existing three kinds of integrated monitoring technologies,analyzes the application status of multi-function monitoring vehicles in China,and explains the principle of integrated monitoring vehicle through actual monitoring data. Compared with the traditional detection technology,the highway tunnel disease integrated testing vehicle has obvious advantages in both hardware and software. This article provides more advanced monitoring methods for early research and development of monitoring at all levels of roads.
引文
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[5]Barnea D I,Silvermn H F.A class of algorithms for fast digital image registration[J].IEEE Computer Society,1972,21(2):179-186.
[6]严路.表面缺陷检测中姿态自动化调整及图像校准技术研究[D].杭州:浙江大学,2015.
[7]宋晨曦,邹同元,王剑,等.高分遥感技术在交通运输行业的应用及展望[J].卫星应用,2014(6):55.
[8]李国燕.基于图像的路面破损识别[D].石家庄:河北工业大学,2009.
[9]Liu D,Wang S,Cao P,et al.Dark-field microscopic image stitching method for surface defects evaluation of large fine optics[J].Optics Express,2013,21(5):5974-5987.
[10]朱佳.先进检测技术助力大连市政道路精细化养护——中电22所LTD-60道路综合检测雷达系统应用介绍[J].市政技术,2013(3):2.
[11]青岛市高速公路管理处.高速公路路面检测[EB/OL].http://www.docin.com/p-219805476.htm.
[12]严咏梅,汤建林,高胜萍,等.多功能检测车在公路路面技术状况检测中的应用[J].交通科技,2009(S1):79.
[13]黄海峰.多轴飞行器在公路桥梁检测中应用展望[A].中国公路学会养护与管理分会.2013年全国公路养护技术学术年会论文集桥隧卷[C].中国公路学会养护与管理分会,2014:3.
[14]曾江洪,许佳.高速公路沥青路面破损状况评价指标体系研究[J].公路工程,2009,34(3):120-122.
[15]严恭敏.车载自主定位定向系统研究[D].西安:西北工业大学,2006.
[16]聂永红,许平.隧道检测车的动力性能分析[J].铁道机车车辆,2000(1):25-27.
[17]刘冲.基于三维重构的路面凹坑检测技术研究[D].重庆:重庆交通大学,2013.
[18]方伟俊.公路沥青路面预防性养护措施决策研究[D].大连:大连理工大学,2008.
[19]肖玉辉,段劲,胡静轩,等.平接缝预制块拱形骨架护坡应力位移监测研究[J].公路工程,2017,42(1):170-173.