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基于数字图像技术监测沥青混合料摊铺均匀性研究进展

RESEARCH PROGRESS ON MONITORING ASPHALT MIXTURE PAVING UNIFORMITY BASED ON DIGITAL IMAGE TECHNOLOGY

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【作者】 徐文艳; 许滌平; 秦旻; 伍洲;

【Author】 XU Wen-yan;XU Di-ping;QIN Min;WU Zhou;School of Civil Engineering, Chongqing Jiaotong University;Guizhou Expressway Group Co Ltd;School of Economics and Management,Chongqing Jiaotong University;

【机构】 重庆交通大学土木工程学院; 贵州高速公路集团有限公司; 重庆交通大学经济与管理学院;

【摘要】 道路建设过程中若沥青混合料摊铺不均匀将会导致后期路面出现局部松散、拥包、车辙甚至严重的推移变形,给路面行车带来安全隐患。因此,为解决快速有效评价沥青路面摊铺过程中沥青混合料均匀程度的问题,综述了数字图像处理技术原理、系统组成以及图像采集的影响因素,现有的沥青混合料均匀性的数字图像处理技术的优势与不足。尽管现有针对数字图像识别研究较多,但现有的评价方法与评价体系尚未形成统一的标准。数字图像的分割技术有限,其检测技术与检测精度也具有较大限制,对施工现场的光照、温度、振动等环境的处理还存在着很多不足,未来仍需进一步研究。

【Abstract】 The uniformity of asphalt mixture paving during road construction can lead to issues such as localized looseness, bulging, uneven rutting, and even severe deformation, which pose safety risks for road users. Therefore, it is crucial to quickly and effectively assess the uniformity of asphalt mixtures during the paving process. This paper reviews the principles of digital image processing technology, the composition of systems, and factors influencing image acquisition, as well as the advantages and limitations of current digital image processing technologies for evaluating asphalt mixture uniformity. Although there is considerable research on digital image recognition, existing evaluation methods and systems have not yet reached a unified standard. Digital image segmentation technology is limited, with significant constraints on detection technology and accuracy. There are still many shortcomings in handling environmental factors such as lighting, temperature, and vibration at the construction site. Further research is needed in the future.

【基金】 国家重点研发计划项目(2018YFB1600201);贵州省交通运输厅科技项目(2023-122-023)
  • 【文献出处】 南阳理工学院学报 ,Journal of Nanyang Institute of Technology , 编辑部邮箱 ,2025年06期
  • 【分类号】U416.2;TP391.41
  • 【下载频次】19
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