CN109470168A - The progressive sampling method of structural plane two-dimensional silhouette curve - Google Patents

The progressive sampling method of structural plane two-dimensional silhouette curve Download PDF

Info

Publication number
CN109470168A
CN109470168A CN201811316485.XA CN201811316485A CN109470168A CN 109470168 A CN109470168 A CN 109470168A CN 201811316485 A CN201811316485 A CN 201811316485A CN 109470168 A CN109470168 A CN 109470168A
Authority
CN
China
Prior art keywords
sampling
sample
contour
contour line
curve
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201811316485.XA
Other languages
Chinese (zh)
Inventor
黄曼
马成荣
徐常森
罗战友
张贺
杜时贵
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
University of Shaoxing
Original Assignee
University of Shaoxing
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by University of Shaoxing filed Critical University of Shaoxing
Priority to CN201811316485.XA priority Critical patent/CN109470168A/en
Publication of CN109470168A publication Critical patent/CN109470168A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/24Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures

Abstract

A kind of progressive sampling method of structural plane two-dimensional silhouette curve, comprising the following steps: 1) utilize three-dimensional laser scanner rock structural face surface, obtain rock structural face 3 D laser scanning figure, intercepted length is the rock structural face contour curve of Dcm;2) contour curve is handled, obtains the point cloud data of contour curve;3) contour line is sampled;4) successively value is mIt can be completed to structural plane contour line using dcm as sampling unit, Δ d is that single promotes lengthSub-sampling;5) it is programmed using MATLAB, the coordinate set of the point of each sample carries out the Roughness Information that processing obtains each sample, completes the progressive sampling to one large-scale rock structural face contour line.The present invention by overlapped between sampling unit, ensure that asperity information is not lost between sampling unit while increasing sample size and improving representativeness of sample.

Description

The progressive sampling method of structural plane two-dimensional silhouette curve
Technical field
The present invention relates to a kind of progressive sampling methods of rock structural face contour line, by keeping sampling unit overlapped, by Step promotes sampling, to increase sample size, and ensure that asperity information is not lost between sampling unit, to make the sample obtained This collection can better representative structure face entirety.Suitable for the occasion sampled to large-scale rock structural face contour line.Suitable for big The occasion of type rock structural face contour line sampling.
Background technique
Studies have shown that the stability of rock mass is largely influenced by rock structural face.And the mechanical property of rock structural face Matter and the surface roughness of rock structural face are closely related.Barton etc. proposes to utilize structural plane surface roughness values earliest (JRC) carry out quantizing structure face surface roughness, and propose 10 standard roughness profile curves and JRC-JCS model.Hereafter, The hot spot that JRC becomes as domestic and foreign scholars' research.At present to the research of rock mass discontinuity two dimension roughness value JRC evaluation method More mature, main evaluation method has: empirical estimation method, statistical parameter method, straight flange method, amendment straight flange method and fractal dimension method Deng.But it is even few to the research of the sampling method of sample rock mass discontinuity, and to the reasonability of the sampling method of structural plane with It is not no whether acquire structural plane roughness coefficient JRC value rationally to researcher, and can well representative structure face overall surface it is several What form has a great impact.
Currently, it is integrally to carry out evaluation to contour line that scholars, which seek contour line JRC value, computing object is often some small Type structural plane contour line.But measured obtained contour line is often very big in practical projects, or even up to several meters long, at this moment generally Scanner be unable to complete the scanning to contour line, thus can not to contour line carry out digitized processing, at this time just need to wheel Profile enters to sample, and contour line entirety is represented using a large amount of small contour line samples.Traditional sampling method has grab sample Method and two kinds of uniform sampling method, accidental sampling is to intercept the contour line sample of a large amount of equal lengths at random on contour line surface. The sample size that the sampling method obtains is larger, but the uniformity of sample covering is not sufficiently good, and such sampling method is to structure Research in the sampling of facial contour line is rarely reported.Uniform sampling method be after determining single sample contour line straight length, from Former contour line one end starts, and successively intercepts the sample contour line of same straight line length.Sampling method sample size obtained compared with It is few, and will cause the loss of the asperity information of each sample boundary.It can guarantee that the sample size of acquisition is enough therefore, it is necessary to a kind of Greatly, and it can guarantee the sufficiently high sampling method of the representativeness of sample of acquisition.
Summary of the invention
When being sampled to a large-scale rock mass discontinuity contour curve, traditional sampling method sample size obtained It is on the low side, contour line entirety can not be preferably represented, and the asperity information between sampling unit can lose.In order to overcome this to lack Point, the present invention propose a kind of progressive sampling method for large scale structure facial contour curve, improve sample increasing sample size It is representative simultaneously, by overlapped between sampling unit, ensure that asperity information is not lost between sampling unit.
The technical solution adopted by the present invention to solve the technical problems is:
A kind of progressive sampling method of structural plane two-dimensional silhouette curve, comprising the following steps:
1) three-dimensional laser scanner rock structural face surface is utilized, rock structural face 3 D laser scanning figure is obtained, from three Tie up the rock structural face contour curve that intercepted length on laser scanning figure is Dcm;
2) 1) the middle contour curve that intercepts is handled, obtains the point cloud data of contour curve, method are as follows: utilize MATLAB programming, contour curve is ajusted, plane right-angle coordinate is established, and makes the X-coordinate 0 of contour curve left end point;
3) sample to contour line: in sampling, using the line segment of dcm long as sampling unit, Δ dcm is that single promotes length Degree, wherein Δ d < d < D, carries out progressive sampling, specific sampling method are as follows: enable sampling unit left and right ends to structural plane contour line The coordinate of point is respectively (xi, 0), (xi+ d, 0), wherein xi=Δ d*m, (M is integer), utilize MATLAB On contouring line, the projection in X-axis falls in all point { (x in a sampling unit for programmingj, yj)|xj∈(xi, xi+ D) }, the coordinate information for recording these points, using the Roughness Information of the coordinate information set representations of the point set contour line, and does and remembers Record;
4) make in 3) m successively valueIt can be completed single for sampling with dcm to structural plane contour line Member, Δ d are that single promotes lengthSub-sampling exceeds contour curve model if sampling unit last time is mobile It encloses, using the two lap as sample;
5) it is programmed using MATLAB, in 4)In group sample, at the coordinate set of the point of each sample Reason obtains the Roughness Information of each sample, just completes the progressive sampling to one large-scale rock structural face contour line at this time.
Beneficial effects of the present invention are mainly manifested in: (1) it is using progressive sampling method acquired in sample size bigger, make Sample set is more representative of contour line entirety.(2) when sampling using progressive sampling side, a segment length is had between sample and sample Overlapping, contour line Roughness Information between sampling unit boundary can be effectively prevented and lose.
Detailed description of the invention
Fig. 1 is the display structure facial contour line from rock structural face.
Fig. 2 is rock mass discontinuity line drawing.
Fig. 3 is progressive sampling method diagram (d=40cm, Δ d=20cm).
Fig. 4 is to be sampled using uniform sampling method and Progressive sampling method to contour curve, acquired sample size pair Than figure.
Specific embodiment
The invention will be further described below in conjunction with the accompanying drawings.
Referring to Fig.1~Fig. 4, a kind of progressive sampling method of structural plane two-dimensional silhouette curve, comprising the following steps:
1) three-dimensional laser scanner rock structural face surface is utilized, rock structural face 3 D laser scanning figure is obtained, from three Tie up the rock structural face contour curve (Fig. 1) of laser scanning intercepted length D=100cm as above.
2) 1) the middle contour curve that intercepts is handled, obtains the point cloud data of contour curve.Method particularly includes: it utilizes MATLAB programming, contour curve is ajusted, plane right-angle coordinate is established, and makes the X-coordinate 0 of contour curve left end point, with 0.5mm is that spacing takes a little on contour curve, and obtains the coordinate data (x, y) of each point.
3) next contour line is sampled: initially sets up the unit sample unit that length is 40cm, it, will in sampling Sampling unit pushes ahead 20cm every time, and specific method is: the coordinate for enabling sampling unit left and right ends point is respectively (xj, 0), (xj + 40,0), wherein xj=20*m, (m ∈ [0,3], m are integer).As m=0, the original of the left end point of sampling unit in coordinate system At point, at this point, the projection in X-axis of record contour line length falls in the coordinate of all the points in the sampling unit, point set is utilized The coordinate information set representations contour lines Roughness Information, and save as matrix.
4) make successively value 0,1,2,3 m, that is, can produce 4 sampling units and corresponding 4 point sets sit matrix.
5) its position on contour line is indicated using the X axis coordinate of pixel, Y axis coordinate indicates its relative relief height Degree puts to the proof the Roughness Information to indicate contour line sample by the coordinate of point set.At this point, just completing to this structural plane wheel The progressive sampling of profile.
In order to be embodied in the superiority for obtaining the more uniform sampling method of the method for the present invention on sample size, sampling unit length is enabled For d=10cm, it is utilized respectively uniform sampling method and Progressive sampling method is sampled contour curve, acquired sample size pair Such as Fig. 4.
As can be seen from Figure 4 when sampling unit length is identical, the sample size that Progressive sampling method obtains is much larger than equal Even sampling method, and Progressive sampling method can by change single promote length (size of Δ d) adjusts acquired sample size, With the reduction of Δ d value, sample size increases close to geometry grade.

Claims (1)

1. a kind of progressive sampling method of structural plane two-dimensional silhouette curve, which is characterized in that the described method comprises the following steps:
1) three-dimensional laser scanner rock structural face surface is utilized, rock structural face 3 D laser scanning figure is obtained, is swashed from three-dimensional Intercepted length is the rock structural face contour curve of Dcm on photoscan;
2) 1) the middle contour curve that intercepts is handled, obtains the point cloud data of contour curve, method are as follows: compile using MATLAB Journey ajusts contour curve, establishes plane right-angle coordinate, and makes the X-coordinate 0 of contour curve left end point;
3) sample to contour line: in sampling, using the line segment of dcm long as sampling unit, Δ dcm is that single promotes length, Wherein Δ d < d < D carries out progressive sampling, specific sampling method are as follows: enable sampling unit left and right ends point to structural plane contour line Coordinate be respectively (xi, 0), (xi+ d, 0), wherein xi=Δ d*m, (M is integer), it utilizes On contouring line, the projection in X-axis falls in all point { (x in a sampling unit for MATLAB programmingj, yj)|xj∈ (xi, xi+ d) }, the coordinate information of these points is recorded, using the Roughness Information of the coordinate information set representations of the point set contour line, And it keeps a record;
4) make in 3) m successively valueIt can be completed single for sampling with dcm to structural plane contour line Member, Δ d are that single promotes lengthSub-sampling exceeds contour curve model if sampling unit last time is mobile It encloses, using the two lap as sample;
5) it is programmed using MATLAB, in 4)In group sample, the coordinate set of the point of each sample carries out processing and obtains The Roughness Information of each sample is taken, just completes the progressive sampling to one large-scale rock structural face contour line at this time.
CN201811316485.XA 2018-11-07 2018-11-07 The progressive sampling method of structural plane two-dimensional silhouette curve Pending CN109470168A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811316485.XA CN109470168A (en) 2018-11-07 2018-11-07 The progressive sampling method of structural plane two-dimensional silhouette curve

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811316485.XA CN109470168A (en) 2018-11-07 2018-11-07 The progressive sampling method of structural plane two-dimensional silhouette curve

Publications (1)

Publication Number Publication Date
CN109470168A true CN109470168A (en) 2019-03-15

Family

ID=65667010

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811316485.XA Pending CN109470168A (en) 2018-11-07 2018-11-07 The progressive sampling method of structural plane two-dimensional silhouette curve

Country Status (1)

Country Link
CN (1) CN109470168A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111561879A (en) * 2020-05-11 2020-08-21 西安理工大学 Detection system and method for extracting steel rail contour curve by infrared laser irradiation

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101825444A (en) * 2010-04-09 2010-09-08 上海辉格科技发展有限公司 Vehicle-mounted road spectrum testing system based on surface structured light
US20130236382A1 (en) * 2010-08-27 2013-09-12 Technical University Of Denmark Zeolite scr catalysts with iron or copper
CN106769276A (en) * 2016-11-14 2017-05-31 绍兴文理学院 Three-dimensional structure face aliquot part choosing method based on Dice similarity measures
CN107656902A (en) * 2017-09-13 2018-02-02 绍兴文理学院 Structural plane roughness coefficient statistical method under different sampling intervals
CN108509701A (en) * 2018-03-21 2018-09-07 南京航空航天大学 A kind of direct intelligent diagnosing method of rotating machinery fault based on vibration signal

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101825444A (en) * 2010-04-09 2010-09-08 上海辉格科技发展有限公司 Vehicle-mounted road spectrum testing system based on surface structured light
US20130236382A1 (en) * 2010-08-27 2013-09-12 Technical University Of Denmark Zeolite scr catalysts with iron or copper
CN106769276A (en) * 2016-11-14 2017-05-31 绍兴文理学院 Three-dimensional structure face aliquot part choosing method based on Dice similarity measures
CN107656902A (en) * 2017-09-13 2018-02-02 绍兴文理学院 Structural plane roughness coefficient statistical method under different sampling intervals
CN108509701A (en) * 2018-03-21 2018-09-07 南京航空航天大学 A kind of direct intelligent diagnosing method of rotating machinery fault based on vibration signal

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
赵永立: "基于LabVIEW的车辆振动测试分析系统研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111561879A (en) * 2020-05-11 2020-08-21 西安理工大学 Detection system and method for extracting steel rail contour curve by infrared laser irradiation

Similar Documents

Publication Publication Date Title
CN110148211B (en) A kind of power line three-dimensional rebuilding method based on point cloud data
CN109118574A (en) A kind of fast reverse modeling method extracted based on three-dimensional feature
CN103106632B (en) A kind of fusion method of the different accuracy three dimensional point cloud based on average drifting
CN106548484A (en) Product model dispersion point cloud Boundary characteristic extraction method based on two-dimentional convex closure
CN103955939A (en) Boundary feature point registering method for point cloud splicing in three-dimensional scanning system
CN109448087B (en) Shield tunnel surface point cloud data segmentation method
CN103701466A (en) Scattered point cloud compression algorithm based on feature reservation
CN106446415A (en) Transformer-substation supporting insulator center line extracting method based on point cloud data
CN103186787A (en) Low-quality Chinese character primary skeleton extraction algorithm based on point cloud model
US20230274466A1 (en) Point cloud polar coordinate coding method and device
CN104764407A (en) Method for measuring thickness of cable protecting bush accurately
CN109470168A (en) The progressive sampling method of structural plane two-dimensional silhouette curve
CN110132168A (en) A kind of three-dimensional laser point cloud data processing system
CN108692668B (en) Three-dimensional shape detection system and method based on fiber bragg grating sensing
CN105574917A (en) Normal map reconstruction processing system and method for 3D models
CN109509184A (en) Method is determined based on the structural plane three-dimensional roughness coefficient of all standing sampling
CN109241212B (en) Retrieval method for historical rainfall based on mesoscale numerical atmospheric mode and high resolution
CN111008429B (en) Heterogeneous CAD geometric consistency comparison method based on point cloud
CN202794518U (en) Accuracy detecting system of 3-dimensional (3D) product produced based on onboard interferometric synthetic aperture radar (INSAR)
CN106570835B (en) A kind of point cloud simplification filtering method
CN109443256A (en) Method is determined based on the structural plane three-dimensional roughness coefficient of progressive sampling
Wang et al. Simplified representation for 3D point cloud data
CN115112246A (en) Temperature differential-based method for positioning and detecting internal thermal defects of vehicle-mounted cable terminal
CN112581521B (en) Method for extracting central line of magnetic suspension track
CN109470181A (en) Method is determined based on the structural plane two dimension roughness value of progressive sampling

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20190315

RJ01 Rejection of invention patent application after publication