基于激光测距的地铁隧道断面自动化检测方法  

Automatic detection method of subway tunnel section based on laser ranging

作　　者：王小凤[1] 徐磊磊 WANG Xiaofeng;XU Leilei(Shanxi Railway Institute,Weinan Shanxi 714000,China;The No.1 Engineering Co.Ltd of China Railway Beijng Engineering Group,Xi'an Shanxi 710100,China)

机构地区：[1]陕西铁路工程职业技术学院,陕西渭南714000 [2]中铁北京工程局局第一工程有限公司,西安710100

出　　处：《自动化与仪器仪表》2021年第4期40-43,共4页Automation & Instrumentation

基　　金：陕西铁路工程职业技术学院2019年度校级自然科学基金项目昔格达组地层浅埋大断面隧道变形及受力研究(No.KY2019-08);陕西省职业教育学会2019年度职业教育研究课题以地隧国家资源库为依托的地下工程计量与计价课程项目贯穿及信息化教学改革与研究(No.SZJYB19-212)。

摘　　要：为了提高地铁隧道断面自动化检测能力,提出基于激光测距的地铁隧道断面自动化检测方法。通过嵌入式控制区块分布式解析,计算图像边缘轮廓,从而利用空间复杂曲面重构方法实现激光测距图像采样,结合激光测距图谱分解结果,对图像采样结果进行融合处理。利用空间规划和模糊度特征分析提取测距图像的区域纹理特征分量,并利用模糊度检测和信息融合聚类方法构建自适应图谱特征分析模型,结合区域分块滤波方法,构建自动化检测输出优化模型,从而利用激光成像的协同滤波结果实现隧道断面的自动化检测。仿真结果表明,采用该方法进行地铁隧道断面检测的准确性较高,检测性能较好。In order to improve the automatic detection ability of subway tunnel section,an automatic section detection method based on laser ranging is proposed.Through the distributed analysis of the embedded control block,the edge contour of the image is calculated,so that the laser ranging image sampling is realized by using the spatial complex surface reconstruction method,combined with the laser ranging atlas decomposition result,and the image sampling result is fused.Use spatial planning and ambiguity feature analysis to extract the regional texture feature components of the ranging image,and use ambiguity detection and information fusion clustering methods to build an adaptive map feature analysis model,combined with regional block filtering methods to build an automatic detection output optimization model,So as to use the collaborative filtering result of laser imaging to realize the automatic detection of tunnel section.The simulation results show that the accuracy of the subway tunnel section detection using this method is higher,and the detection performance is better.

关 键 词：激光测距 地铁隧道 隧道断面 自动化检测 协同滤波 

分 类 号：TP206[自动化与计算机技术—检测技术与自动化装置]