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Gold Science and Technology ›› 2023, Vol. 31 ›› Issue (5): 773-784.doi: 10.11872/j.issn.1005-2518.2023.05.082

• Mining Technology and Mine Management • Previous Articles     Next Articles

Research on “Manual+Semi-automatic” Identification Method and Application of Roadway Rock Mass Structural Plane

Xiaoming ZHAO1,2(),Xiang LI3,Jielin LI3(),Tongfei YANG1,2,Jiachen ZHENG1,2,Bo YANG4,Changjun LI4   

  1. 1.North China Non-Ferrous Engineering Survey Institute Co. , Ltd. , Shijiazhuang 050000, Hebei, China
    2.Innovation Center of Metal Mine Groundwater Disaster Prevention Engineering Technology, Ministry of Natural Resources, Shijiazhuang 050000, Hebei, China
    3.School of Resources and Safety Engineering, Central South University, Changsha 410083, Hunan, China
    4.Tianhe Daoyun (Beijing) Technology Co. , Ltd. , Beijing 100176, China
  • Received:2023-05-31 Revised:2023-07-23 Online:2023-10-31 Published:2023-11-21
  • Contact: Jielin LI E-mail:707473672@qq.com;lijielin@163.com

Abstract:

Roadway is the main engineering for the development,production and transportation of underground metal mines.The stability of surrounding rock of underground roadway will directly affect the safety production of the mine.The structural analysis of roadway rock mass was carried out to obtain the spatial characteristics of the surrounding rock structural plane,so as to analyze the characteristics and instability of blocks cutted by structural plane,and identify the dangerous area of roadway block instability,so as to provide a good guarantee for roadway safety.The information acquisition of rock mass structural plane includes the measurement of occurrence,trace length,spacing and opening degree.At present,there are mainly full manual identification,semi-manual identification and automatic identification methods to carry out rock mass structural plane identification.Different methods have different effects on the identification accuracy of rock mass structural plane,but it is generally difficult to accurately distinguish the surrounding rock defects and structural plane of underground roadways,and the accuracy of the identified structural plane data is poor.Therefore,it is very necessary to develop a safe and accurate rock mass structural plane measurement and identification technology to provide accurate data support for the accurate deconstruction and stability analysis of roadway structural plane.In order to strengthen the high quality and high precision identification and optimization of the structural point cloud data of the surrounding rock of underground roadway,the research on the measurement and identification of the structural plane of underground roadway rock mass was carried out based on 3D laser scanning technology.In this paper,the structural plane identification method based on point cloud data was summarized,and three-dimensional laser scanning and structural plane information extraction were carried out in the 910 m midsection transportation roadway of Maoping lead-zinc mine,Luozehe Town,Yilang County,Yunnan Province.Finally,the field manual measurement and manual identification,semi-automatic identifi-cation and manual identification were compared and verified and analyzed.The results show that in the underground mine roadway,when the combination of manual identification and semi-automatic identification was used to identify the rock mass structural plane of the roadway,the obtained structural plane data is more accurate and comprehensive.Due to the advantages of high precision and convenience of 3D laser scanning,the combination of “manual+semi-automatic”identification method has great further optimization in the measurement and identification of rock mass structural plane of underground roadway.It provides a new idea for the identification of tunnel structural plane information and the extraction of geometric features,and provides an efficient and accurate measurement method for the identification of tunnel structural plane.

Key words: underground roadway, structural plane identification, three-dimensional laser scanning, point cloud data, structural plane measurement

CLC Number: 

  • P585.2

Fig.1

Selection of measurement area"

Fig.2

Erection of measuring station"

Fig.3

Roadway point cloud data model"

Fig.4

Coordinate matching of point cloud data"

Fig.5

Comparison of structural plane characteristics between measured photos of surrounding rock and point cloud data scanning"

Fig.6

Comparative verification of structural plane characteristics identification"

Fig.7

Fitting verification of structural plane"

Table 1

Error of manually selected structural plane identification and traditional compass measurement results"

测量点平均倾向/(°)平均倾角/(°)平均差值
罗盘测量5366-
测量点14177倾向12°,倾角11°
测量点22080倾向23°,倾角14°
测量点32977倾向24°,倾角11°
测量点45570倾向2°,倾角4°

Fig.8

Structural plane occurrence division of point cloud data"

Fig.9

Division of the study area"

Fig.10

Division of roadway area"

Fig.11

Identification results of rock mass structural plane"

Fig.12

Identification area of rock mass structural plane"

Table 2

Identification results of structural plane"

序号距离/m倾角/(°)倾向/(°)长度/m
10.50248.71045.3230.463
20.53050.78862.6010.689
30.65750.521257.7350.524
40.80572.196229.4410.700
51.18847.16385.7220.511
61.43170.671318.6300.610
71.80767.868327.1530.438
81.85860.332330.4440.766
93.12776.597208.3830.846
103.20471.638214.9920.904
113.70577.771318.7120.857
124.42075.932331.1851.244
134.72462.339311.7660.953
145.36156.631247.1640.348
155.45754.570269.0420.247
166.63165.778272.3700.439
177.26984.909344.5670.408
187.41779.184325.2980.432
197.55653.99656.02700.415
208.08058.446294.7480.975
219.00370.242314.9580.638
229.86651.262281.4700.493
239.99569.971318.3910.641
2410.45761.27344.0880.599
2510.60259.355283.2600.371
2611.02380.960331.7340.469
2711.36060.214281.4440.748
2811.57571.872329.6680.554

Fig.13

Identification results of rock mass structural plane identification region"

Fig.14

Identification results of structural plane of rock mass in different regions"

Fig.15

Occurrence of structural plane"

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