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宋小平1,  周衛(wèi)軍1,  張?zhí)?span style="font-family: Arial; letter-spacing: 0px; position: relative; top: -9px; font-size: 12px;">2,  蘇峰格1,  張邵賀1

(1 . 中國有色金屬工業(yè)西安勘察設(shè)計研究院有限公司，陜西 西安 710054 ;

2. 自然資源部陜西測繪產(chǎn)品質(zhì)量監(jiān)督檢驗站，陜西 西安 710054)

摘 要：常規(guī)建筑墻體微小裂縫監(jiān)測方法忽略了噪聲點對裂縫圖像像素點分布的影響，導(dǎo)致最終監(jiān)測精度較低。為此，提出基于多視角三維激光掃描技術(shù)的建筑墻體微小裂縫監(jiān)測方法。采用多視角三維激光掃描技術(shù) 對墻體裂縫灰度圖像進(jìn)行采集，對圖像進(jìn)行濾波處理，以減少噪聲點對像素分布的影響并通過求取裂縫點的特征密度值與二值化分離系數(shù)，完成圖像灰度標(biāo)定，結(jié)合掃描參數(shù)臨界值，移除非目標(biāo)區(qū)域的點云數(shù)據(jù)， 由此分割裂縫圖像的目標(biāo)區(qū)域，以此為依據(jù)，對裂縫圖像目標(biāo)區(qū)域進(jìn)行仿射變換并求取裂縫的形心，進(jìn)而得到裂縫的分布區(qū)間，實現(xiàn)墻體微小裂縫的監(jiān)測。結(jié)果表明：將設(shè)計的方法應(yīng)用于建筑墻體微小裂縫監(jiān)測中，得到的監(jiān)測 值與實際值偏差較小，監(jiān)測精度較高。

關(guān)鍵詞：多視角三維激光掃描技術(shù)；建筑墻體；微小裂縫；監(jiān)測

中圖分類號：TN249 

文獻(xiàn)標(biāo)志碼：A 

文章編號：1005- 8249 (2024) 03- 0163- 06 

DOI：10.19860/j.cnki.issn1005-8249.2024.03.031

SONG Xiaoping1 , ZHOU Weijun1 ,  ZHANG Hao2,   SU  Fengge1,  ZHANG Shaohe1

1 . Xi’an Engineering Investigation and Design Research Institute of China National Non - ferrous

Metals Industry, Xi’an 710054, China; 

2. Shaanxi Surveying and Mapping Production Supervision

and Inspection Station, Ministry of Natural Resources, Xi’an 710054, China

Abstract : Conventional monitoring methods for small cracks in building walls often use pole feature clustering algorithms , but ignore the impact of noise points on the pixel distribution of crack images , resulting in low final monitoring accuracy. Therefore , a monitoring method for small cracks in building walls based on multi perspective 3D laser scanning technology is proposed. Using multi perspective 3D laser scanning technology to collect grayscale images of wall cracks , filter and process the images to reduce the impact of noise points on pixel distribution. By calculating the feature density value and binary separation coefficient of crack points , the image grayscale calibration is completed. Combined with the critical values of scanning parameters , point cloud data from non target areas is removed , and the target area of the crack image is segmented based on this , Perform affine transformation on the target area of the crack image and obtain the centroid of the crack , thereby obtaining the distribution interval of the crack and achieving wall miniaturization; Monitoring of points. The comparative experimental results show that when the designed method is applied to monitoring small cracks in building walls , the deviation between the monitoring values obtained and the actual values is small , and the monitoring accuracy is high.

Keywords : multi perspective 3D laser scanning technology; building walls; minor cracks; monitoring

作者簡介：宋小平 (1982—) , 男，本科，高級工程師，研究方向： 工程測量、攝影測量、地理信息系統(tǒng)等。

收稿日期：2023- 12- 01