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 PDFInfo
- 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
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/24—Measuring 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
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.
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)
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)
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 |
-
2018
- 2018-11-07 CN CN201811316485.XA patent/CN109470168A/en active Pending
Patent Citations (5)
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)
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)
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 |