CN109166168A - A kind of three-dimensional distribution figure fast construction method of tunnel lining structure - Google Patents
A kind of three-dimensional distribution figure fast construction method of tunnel lining structure Download PDFInfo
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- CN109166168A CN109166168A CN201811024825.1A CN201811024825A CN109166168A CN 109166168 A CN109166168 A CN 109166168A CN 201811024825 A CN201811024825 A CN 201811024825A CN 109166168 A CN109166168 A CN 109166168A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T15/00—3D [Three Dimensional] image rendering
- G06T15/005—General purpose rendering architectures
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
Abstract
The present invention is a kind of three-dimensional distribution figure fast construction method of tunnel lining structure, the three-dimensional distribution figure fast construction method of the tunnel lining structure include acquisition the apparent image data of tunnel lining structure, comprising steps of S1, utilize tunnel Quick Test Vehicle acquire tunnel lining structure, profiled outline, vehicular attitude data.S2, tunnel Internal periphery, wheelpath data inversion tunnel three-dimensional axis are utilized.S3, tunnel lining structure two dimension spread figure is constructed based on tunnel-liner apparent image data.S4, two dimension spread figure progress three-dimensional space mapping in tunnel is constructed into tunnel lining structure three-dimensional distribution figure using tunnel three-dimensional axis DTA and tunnel Internal periphery data.
Description
Technical field
The present invention relates to a kind of buildings of the three-dimensional distribution figure of operation tunnel liner structure, especially disclose a kind of tunnel-liner
The three-dimensional distribution figure fast construction method of structure is applied to Tunnel Engineering field.
Background technique
As BIM technology gos deep into tunnel project application field, asked for what how the tunnel threedimensional model runed constructed
Topic, some scholars have carried out relevant pilot study work.
Lee Myung-bak in 2017 et al. is by the secondary development to Revit, based on BIM model and by disease location information by putting down
Face data is converted into spatial data, realizes the three-dimensional visualization of tunnel defect.Sand culture continent in 2017 et al. is soft by modeling to BIM
The secondary development of part improves the modeling efficiency of Tunnel Design threedimensional model.2005 year clocks step on China et al. and are based on design data, adopt
With three-dimensional visualization technique, the three-dimensional modeling and visualization expression of vcehicular tunnel is realized.Wang Jing in 2016 et al. proposes one
Kind of the vcehicular tunnel three-dimensional modeling method based on non-uniform rational B-spline Nurbs, enhance three-dimensional visialization of tunnel adaptability,
Scalability and flexibility.
In addition, carrying out structural environment reconstruct using three-dimensional laser scanning technique is also current research hotspot.But for height
The three-dimensional visialization of tunnel of precision, 3 D laser scanning speed is slower, such as tunnel longitudinal direction modeling accuracy requires to be 2mm, selects mesh
Preceding more advanced German 9012 spatial digitizer of Der Z+Fprofiler, equipment acquisition parameter are set as 200HZ, 10240
Point/circle, actual acquisition speed per hour is no more than 1.5km/h, and unit kilometer tunnel three-dimensional acquisition points about 51,200,000,000, this is adopted
Collect speed per hour for tunnel, envelope road operation must be carried out for a long time, and acquire that data volume is huge, and management service is difficult, therefore uses
Three-dimensional laser scanning technique carries out three-dimensional environment reconstruction to tunnel, and practical operation is difficult, and large-scale application is unrealistic.
In summary, how the research based on picture construction tunnel 3-dimensional image model is less, and majority is based on design money
Material is fitted building according to mathematical method, and for the ideal tunnel model of design, this is that there is any discrepancy with tunnel actual environment situation
, it is difficult to meet tunnel management demand.Therefore, how in high precision, truly building tunnel lining structure 3-dimensional image model is
It is worth the engineering problem of research.
Summary of the invention
Present invention aim to address the defects of the prior art, design a kind of three-dimensional distribution figure building of tunnel lining structure
Method can rapidly and accurately construct the three-dimensional distribution graph model of tunnel lining structure, provide three-dimensional basic for tunnel operation and management
Model.
The present invention is implemented as follows: a kind of three-dimensional distribution figure fast construction method of tunnel lining structure, feature exist
In the Quick Acquisition of the apparent image of tunnel lining structure, the three-dimensional distribution figure fast construction method is further comprising the steps of:
S1, tunnel lining structure, profiled outline, vehicular attitude data are acquired using tunnel Quick Test Vehicle.
The concrete operations of the step S1 are as follows:
(1) tunnel Quick Test Vehicle acquisition equipment includes three-dimensional laser scanner, face battle array industrial camera array, strapdown inertia system
System, encoder, infrared light compensating lamp, image pick-up card and industrial personal computer,
(2) Internal periphery data in tunnel are acquired by the three-dimensional laser scanner of tunnel Quick Test Vehicle,
(3) by the face battle array industrial camera array acquisition tunnel lining structure apparent image of tunnel Quick Test Vehicle, to ensure tunnel
Road liner structure image all standing, image is circumferential to reserve overlapping region between longitudinal direction,
(4) the Methods of Strapdown Inertial Navigation System acquisition testing garage vehicle appearance real time data for passing through tunnel Quick Test Vehicle, detects garage's vehicle
Appearance real time data includes acceleration, angular acceleration and attitude angle,
(5) pass through the encoder acquisition testing vehicle driving mileage data of tunnel Quick Test Vehicle.
S2, tunnel Internal periphery, wheelpath data inversion tunnel three-dimensional axis are utilized.
The concrete operations of the step S2 are as follows:
(1) pass through Quaternion Method, runge kutta method and coordinate conversion matrix using the track data of Methods of Strapdown Inertial Navigation System acquisition,
It can get the spatial point coordinate P(x of carrier any time ttb, ytb, ztb),
(2) using Bezier approximating method to the point P at each momentiIt carries out curve fitting, forms a space motion path
Curve Cu,
(3) it is based on tunnel road surface structure feature and tunnel road surface midpoint M can be obtained using tunnel Internal periphery laser scanning data
(xm, ym, zm),
(4) the center of gravity O(x of carrier is utilizedm, ym, zm), tunnel road surface midpoint M construct translation vector, wherein a=
xm-x0、b=ym-y0、c=zm-z0,
(5) translation vector is utilizedTo path curves CuIt is translated, can be obtained tunnel three-dimensional axis DTA.
S3, tunnel lining structure two dimension spread figure is constructed based on tunnel-liner apparent image data.
The concrete operations of the step S3 are as follows:
(1) circumferential degree of overlapping D is utilizedhTo i(i ≠ 1) image of number camera acquisition carries out circumferential cutting, and the direction of cutting is pixel
The X-direction of coordinate system, the image after circumferential direction is cut are denoted as Pih。
(2) longitudinal overlap degree D is utilizedzImage P after being cut to each camera circumferential directionihCarry out longitudinal cutting, the direction of cutting
For the Y direction of pixel coordinate system, the image after longitudinal cutting is denoted as Pihz。
(3) treated image P successively is cut to each cameraihzCarry out it is longitudinal spliced, to generate a series of one camera
Longitudinal spread figure, is denoted as SLiz。
(4) with the spread figure SL of No. 1 camera1zOn the basis of, calculate separately with i(i ≠ 1) number camera spread figure zoom factor
Ciz, calculation method are as follows:
Ciz=SLizColumns/SL1zColumns (5)
(5) zoom factor C is utilizedizTo i(i ≠ 1) the spread figure SL of cameraizIt zooms in and out, the spread seal after scaling is SL
'iz。
(6) according to camera numbers i sequence successively to the spread figure SL' of each cameraizCircumferential splicing is carried out, tunnel is ultimately formed
The complete two-dimentional spread figure SL of liner structure.
S4, using tunnel three-dimensional axis DTA and tunnel Internal periphery data, two dimension spread figure progress three-dimensional space in tunnel is reflected
It penetrates, constructs tunnel lining structure three-dimensional distribution figure.
The concrete operations of the step S4 are as follows:
(1) equidistant L is carried out to tunnel three-dimensional axis DTASDiscrete, discrete point set is denoted as P', and obtains at each discrete point
The local coordinate assembly of local coordinate system, discrete point set P' is denoted as C.
(2) point set P' is successively traversed, each discrete point P' is calculatediCurve distance away from tunnel three-dimensional axis DTA starting point, should
The as corresponding tunnel mileage K of distancei, utilize mileage KiThe image information that respective column is extracted in two-dimentional spread figure, is denoted as Ii。
(3) discrete point P' is extractediThe local coordinate system C at placei, and the tunnel two-dimensional silhouette of 3 D laser scanning is pressed into coordinate
It is CiCoordinate conversion is carried out, discrete point P' can be obtainediThe actual tunnel profile section at place, profile section are denoted as Si。
(4) as shown in figure 3, obtaining column image information IiElement number N, each element is an image slices vegetarian refreshments,
And to tunnel contour section SiIt carries out distance N equal portions to divide, traverses the Along ent of each N equal portions one by one, can be obtained Along ent
Spatial value P'ijAnd respective image information Iij, P'ijAnd IijOne space pixel can be described.
(5) above-mentioned (2) ~ (4) step is repeated, the two-dimentional spread figure in bed rearrangement tunnel can be mapped to three-dimensional space pixel,
Obtain tunnel lining structure three-dimensional distribution figure.
The beneficial effects of the present invention are:
(1) present invention is can to realize the apparent information of Quick Acquisition tunnel lining structure based on high speed face array CCD camera, compared to three-dimensional
Laser scanner technique, information content is bigger, and applicability is stronger;
(2) present invention be based on encoder, Methods of Strapdown Inertial Navigation System and laser scanner technique can inverse go out tunnel three-dimensional axis, benefit
Tunnel three-dimensional distribution figure, algorithm clear thinking can be constructed with tunnel three-dimensional axis, two-dimentional spread figure and profile section;
(3) present invention solves the problems, such as tunnel 3-dimensional image model rapid modeling, and technical solution is complete and is easily programmed realization.
Detailed description of the invention
Fig. 1 is the tunnel lining structure two dimension spread figure product process figure of the method for the present invention.
Fig. 2 is the tunnel lining structure two dimension spread figure of the method for the present invention.
Fig. 3 is the tunnel lining structure two dimension spread map space mapping schematic diagram of the method for the present invention.
In figure: 1, tunnel two dimension spread figure;2, tunnel contour section;3, pixel-map path.
Specific embodiment
The present invention will be further explained below with reference to the attached drawings and specific examples.
With reference to the accompanying drawings 1, the present invention is a kind of three-dimensional distribution figure fast construction method of tunnel lining structure, the tunnel lining
The three-dimensional distribution figure fast construction method for building structure includes the following steps S1~S4:
S1, tunnel lining structure, profiled outline, vehicular attitude data are acquired using tunnel Quick Test Vehicle.
The concrete operations of the step S1 are as follows:
(1) it is fast with the tunnel TDV-H2000 of ground wood engineering Science and Technology Co., Ltd. that Shanghai can be used in tunnel Quick Test Vehicle
Speed detection vehicle, the acquisition equipment of the detection vehicle include three-dimensional laser scanner, face battle array industrial camera, Methods of Strapdown Inertial Navigation System, volume
Code device, laser range finder, infrared light compensating lamp, image pick-up card and industrial personal computer
(2) Internal periphery data in tunnel are acquired by the three-dimensional laser scanner of tunnel Quick Test Vehicle.
It (3) is true by the face battle array industrial camera array acquisition tunnel lining structure apparent image of tunnel Quick Test Vehicle
The all standing of tunnel lining structure image is protected, image is circumferential to reserve overlapping region between longitudinal direction.
(4) pass through the Methods of Strapdown Inertial Navigation System acquisition testing garage wheel paths real time data of tunnel Quick Test Vehicle, posture
Data include acceleration, angular acceleration, attitude angle, and wherein acceleration includes X to acceleration ax, Y-direction acceleration ay, Z-direction acceleration
az, angular acceleration includes X to angular accelerationx, Y-direction angular accelerationy, Z-direction angular accelerationz, attitude angle includes course angle φ, bows
Elevation angle theta, roll angle γ.
(5) pass through the encoder acquisition testing vehicle driving mileage data of tunnel Quick Test Vehicle.
S2, tunnel Internal periphery, wheelpath data inversion tunnel three-dimensional axis are utilized.
The concrete operations of the step S2 are as follows:
(1) this method is with body coordinate system (abbreviation b system, XbYbZbAxis) it is calculating benchmark, body coordinate system and carrier (detection vehicle)
It is connected, center of gravity of the origin in carrier, XbAxis is directed toward the right side of carrier, YbAxis is directed toward the y direction of carrier, ZbAxis is directed toward carrier
Number axis direction.
(2) it is converted using the track data of Methods of Strapdown Inertial Navigation System acquisition by Quaternion Method, runge kutta method and coordinate
Matrix can get the spatial point coordinate P(x of carrier any time ttb, ytb, ztb).
The citation form of quaternary number are as follows:
(1)
It is wherein q0Scalar, q are vector;I, j, k are consistent with the base phase of carrier coordinate system.
Quaternary number attitude matrix:
(2)
It is wherein (xb, yb, zb) it is body coordinate system coordinate, (xn, yn, zn) it is navigational coordinate system coordinate.
Transition matrix between carrier coordinate system and navigational coordinate system:
(3)
WhereinFor course angle, θ be pitch angle, γ is roll angle.
(3) using Bezier approximating method to the point P at each momentiIt carries out curve fitting, forms a spatial movement
Geometric locus Cu。
(4) it is based on tunnel road surface structure feature and tunnel road surface midpoint can be obtained using tunnel Internal periphery laser scanning data
M(xm, ym, zm).
(5) the center of gravity O(x of carrier is utilizedm, ym, zm), tunnel road surface midpoint M construct translation vector,
Middle a=xm-x0、b=ym-y0、c=zm-z0。
(6) translation vector is utilizedTo path curves CuIt is translated, can be obtained tunnel three-dimensional axis DTA.
Curvilinear translation method is as follows:
(4)
In formula: O(x, y, z) it is carrier starting point coordinate,For translation vector.
S3, tunnel lining structure two dimension spread figure is constructed based on tunnel-liner apparent image data.
The concrete operations of the step S3 are as follows:
(1) circumferential degree of overlapping D is utilizedhTo i(i ≠ 1) image of number camera acquisition carries out circumferential cutting, and the direction of cutting is pixel
The X-direction of coordinate system, the image after circumferential direction is cut are denoted as Pih。
Image cropping operation can call directly Opencv function colRange realization, and colRange function is as follows:
inline Mat colRange(int startcol, int endcol) const;
(2) longitudinal overlap degree D is utilizedzImage P after being cut to each camera circumferential directionihLongitudinal cutting is carried out, the direction of cutting is picture
The Y direction of plain coordinate system, the image after longitudinal cutting are denoted as Pihz。
(3) treated image P successively is cut to each cameraihzCarry out it is longitudinal spliced, to generate a series of one camera
Longitudinal spread figure, is denoted as SLiz。
(4) with the spread figure SL of No. 1 camera1zOn the basis of, calculate separately with i(i ≠ 1) number camera spread figure zoom factor
Ciz, calculation method are as follows:
Ciz=SLizColumns/SL1zColumns (5)
(5) zoom factor C is utilizedizTo i(i ≠ 1) the spread figure SL of cameraizIt zooms in and out, the spread seal after scaling is SL
'iz。
(6) according to camera numbers i sequence successively to the spread figure SL' of each cameraizCircumferential splicing is carried out, tunnel is ultimately formed
The complete two-dimentional spread figure SL of liner structure, as shown in Figure 2.
S4, using tunnel three-dimensional axis DTA and tunnel Internal periphery data, two dimension spread figure progress three-dimensional space in tunnel is reflected
It penetrates, constructs tunnel lining structure three-dimensional distribution figure.
The concrete operations of the step S4 are as follows:
(1) equidistant L is carried out to tunnel three-dimensional axis DTASIt is discrete, LSValue determined by model accuracy, can use 0.001 meter,
Discrete point set is denoted as P', and obtains the local coordinate system at each discrete point, and the local coordinate assembly of discrete point set P' is denoted as C.
(2) discrete point set P' is successively traversed, each discrete point P' is calculatediCurve away from tunnel three-dimensional axis DTA starting point away from
From the distance is corresponding tunnel mileage Ki, utilize mileage KiThe image information of respective column, note are extracted in two-dimentional spread figure
For Ii。
(3) discrete point P' is extractediThe local coordinate system C at placei, and the tunnel two-dimensional silhouette of 3 D laser scanning is pressed into coordinate
It is CiCoordinate conversion is carried out, discrete point P' can be obtainediThe actual tunnel profile section at place, profile section are denoted as Si。
(4) as shown in figure 3, obtaining column image information IiElement number N, each element is an image slices vegetarian refreshments,
And to tunnel contour section SiIt carries out distance N equal portions to divide, traverses the Along ent of each N equal portions one by one, can be obtained Along ent
Spatial value P'ijAnd respective image information Iij, P'ijAnd IijOne space pixel can be described.
Single space pixel data structure:
struct Point3D
{
double dX;//X-coordinate
double dY;//Y coordinate
double dZ;//Z coordinate
int nGray;// grey scale pixel value
};
(5) above-mentioned (2) ~ (4) step is repeated, the two-dimentional spread figure in bed rearrangement tunnel three-dimensional space pixel can be mapped to, that is, obtained
Obtain tunnel lining structure three-dimensional distribution figure.
The preferred embodiment of the present invention has been described in detail above.It should be appreciated that those skilled in the art without
It needs creative work according to the present invention can conceive and makes many modifications and variations.Therefore, all technologies in the art
Personnel are available by logical analysis, reasoning, or a limited experiment on the basis of existing technology under this invention's idea
Technical solution, all should be in the protection scope as required by claims of the present invention.
Claims (5)
1. a kind of three-dimensional distribution figure fast construction method of tunnel lining structure, the three-dimensional distribution figure of the tunnel lining structure
Fast construction method includes the acquisition apparent image data of tunnel lining structure, it is characterised in that: the three-dimensional distribution figure building
Method is further comprising the steps of:
S1, tunnel lining structure, profiled outline, vehicular attitude data are acquired using tunnel Quick Test Vehicle,
S2, using tunnel Internal periphery, wheelpath data inversion tunnel three-dimensional axis,
S3, tunnel lining structure two dimension spread figure is constructed based on tunnel-liner apparent image data,
S4, using tunnel three-dimensional axis DTA and tunnel Internal periphery data, tunnel two dimension spread figure is subjected to three-dimensional space mapping,
Construct tunnel lining structure three-dimensional distribution figure.
2. a kind of three-dimensional distribution figure fast construction method of tunnel lining structure according to claim 1, which is characterized in that
The concrete operations of the step S1 are as follows:
(1) tunnel Quick Test Vehicle acquisition equipment includes three-dimensional laser scanner, face battle array industrial camera array, strapdown inertia system
System, encoder, infrared light compensating lamp, image pick-up card and industrial personal computer;
(2) data of tunnel Quick Test Vehicle acquisition include tunnel Internal periphery data, tunnel lining structure apparent image, detection vehicle
Vehicular attitude real time data and detection vehicle driving mileage data,
The tunnel Internal periphery data are acquired by the three-dimensional laser scanner of tunnel Quick Test Vehicle, the tunnel
Liner structure apparent image is the face battle array industrial camera array acquisition by tunnel Quick Test Vehicle, to ensure tunnel-liner knot
Composition reserves overlapping region as all standing between circumferential and longitudinal direction when the tunnel lining structure apparent image acquires, described
Detection vehicle vehicular attitude real time data acquired by the Methods of Strapdown Inertial Navigation System of tunnel Quick Test Vehicle, the detection vehicle
Vehicular attitude real time data includes acceleration, angular acceleration and attitude angle, and the detection vehicle driving mileage data is to pass through tunnel
The encoder acquisition of road Quick Test Vehicle.
3. a kind of three-dimensional distribution figure fast construction method of tunnel lining structure according to claim 1, which is characterized in that
The concrete operations of the step S2 are as follows:
(1) pass through Quaternion Method, runge kutta method and coordinate conversion matrix using the track data of Methods of Strapdown Inertial Navigation System acquisition,
Obtain the spatial point coordinate P(x of carrier any time ttb, ytb, ztb),
(2) using Bezier approximating method to the point P at each momentiIt carries out curve fitting, forms a space motion path song
Line Cu,
(3) tunnel road surface midpoint M(x is obtained based on tunnel road surface structure feature and using tunnel Internal periphery laser scanning datam,
ym, zm),
(4) the center of gravity O(x of carrier is utilizedm, ym, zm), tunnel road surface midpoint M construct translation vector, wherein a=
xm-x0、b=ym-y0、c=zm-z0,
(5) translation vector is utilizedTo path curves CuIt is translated, obtains tunnel three-dimensional axis DTA.
4. a kind of three-dimensional distribution figure fast construction method of tunnel lining structure according to claim 1, which is characterized in that
The concrete operations of the step S3 are as follows:
(1) circumferential degree of overlapping D is utilizedhTo i(i ≠ 1) image of number camera acquisition carries out circumferential cutting, and the direction of cutting is pixel
The X-direction of coordinate system, the image after circumferential direction is cut are denoted as Pih,
(2) longitudinal overlap degree D is utilizedzImage P after being cut to each camera circumferential directionihLongitudinal cutting is carried out, the direction of cutting is picture
The Y direction of plain coordinate system, the image after longitudinal cutting are denoted as Pihz,
(3) treated image P successively is cut to each cameraihzCarry out it is longitudinal spliced, it is longitudinal to generate a series of one camera
Spread figure, is denoted as SLiz,
(4) with the spread figure SL of No. 1 camera1zOn the basis of, calculate separately with i(i ≠ 1) number camera spread figure zoom factor Ciz,
Calculation method are as follows:
Ciz=SLizColumns/SL1zColumns (5)
(5) zoom factor C is utilizedizTo i(i ≠ 1) the spread figure SL of cameraizIt zooms in and out, the spread seal after scaling is
SL'iz,
(6) according to camera numbers i sequence successively to the spread figure SL' of each cameraizCircumferential splicing is carried out, tunnel-liner is ultimately formed
The two-dimentional spread figure SL of structural integrity.
5. a kind of three-dimensional distribution figure fast construction method of tunnel lining structure according to claim 1, which is characterized in that
The concrete operations of the step S4 are as follows:
(1) equidistant L is carried out to tunnel three-dimensional axis DTASDiscrete, discrete point set is denoted as P', and obtains the office at each discrete point
The local coordinate assembly of portion's coordinate system, discrete point set P' is denoted as C,
(2) point set P' is successively traversed, each discrete point P' is calculatediCurve distance away from tunnel three-dimensional axis DTA starting point, the distance
For corresponding tunnel mileage Ki, utilize mileage KiThe image information that respective column is extracted in two-dimentional spread figure, is denoted as Ii,
(3) discrete point P' is extractediThe local coordinate system C at placei, and the tunnel two-dimensional silhouette of 3 D laser scanning is pressed into coordinate system Ci
Coordinate conversion is carried out, discrete point P' is obtainediThe actual tunnel profile section at place, profile section are denoted as Si,
(4) as shown in figure 3, obtaining column image information IiElement number N, each element is an image slices vegetarian refreshments, and to tunnel
Profile section SiIt carries out distance N equal portions to divide, traverses the Along ent of each N equal portions one by one, obtain the spatial value P' of Along entij
And respective image information Iij, P'ijAnd IijFor describing a space pixel,
(5) above-mentioned (2) ~ (4) step is repeated, the two-dimentional spread figure in bed rearrangement tunnel is mapped to three-dimensional space pixel, obtains tunnel
Road liner structure three-dimensional distribution figure.
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Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110849368A (en) * | 2019-10-23 | 2020-02-28 | 同济大学 | High-precision rapid positioning device and method in tunnel |
CN111272220A (en) * | 2020-02-13 | 2020-06-12 | 中国铁道科学研究院集团有限公司铁道建筑研究所 | Tunnel state detection monitoring management system |
CN111914338A (en) * | 2020-08-14 | 2020-11-10 | 中国十七冶集团有限公司 | BIM (building information modeling) model building method for parameterized tunnel open cut tunnel lining structure |
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Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5408511A (en) * | 1992-06-05 | 1995-04-18 | Commissariat A L'energie Atomique | Process for the reconstruction of three-dimensional images of an object by measurements using a conical radiation and a bidimensional detector array |
CN101882171A (en) * | 2010-05-21 | 2010-11-10 | 中交第二公路勘察设计研究院有限公司 | Method for fast establishing interactive tunnel and wall rock body three-dimensional models |
CN104914108A (en) * | 2015-05-15 | 2015-09-16 | 上海同岩土木工程科技有限公司 | Expressway tunnel detection vehicle system based on machine vision |
CN107014352A (en) * | 2017-05-02 | 2017-08-04 | 中铁第四勘察设计院集团有限公司 | A kind of railcar and detection method for railway tunnel tunneling boring comprehensive detection |
CN108267096A (en) * | 2017-12-25 | 2018-07-10 | 中铁科学技术开发公司 | Railway tunnel lining surface disease rapid detection system |
-
2018
- 2018-09-04 CN CN201811024825.1A patent/CN109166168B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5408511A (en) * | 1992-06-05 | 1995-04-18 | Commissariat A L'energie Atomique | Process for the reconstruction of three-dimensional images of an object by measurements using a conical radiation and a bidimensional detector array |
CN101882171A (en) * | 2010-05-21 | 2010-11-10 | 中交第二公路勘察设计研究院有限公司 | Method for fast establishing interactive tunnel and wall rock body three-dimensional models |
CN104914108A (en) * | 2015-05-15 | 2015-09-16 | 上海同岩土木工程科技有限公司 | Expressway tunnel detection vehicle system based on machine vision |
CN107014352A (en) * | 2017-05-02 | 2017-08-04 | 中铁第四勘察设计院集团有限公司 | A kind of railcar and detection method for railway tunnel tunneling boring comprehensive detection |
CN108267096A (en) * | 2017-12-25 | 2018-07-10 | 中铁科学技术开发公司 | Railway tunnel lining surface disease rapid detection system |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112446852A (en) * | 2019-08-30 | 2021-03-05 | 成都唐源电气股份有限公司 | Tunnel imaging plane display method and intelligent defect identification system |
CN112446852B (en) * | 2019-08-30 | 2023-12-15 | 成都唐源电气股份有限公司 | Tunnel imaging plane display method and defect intelligent recognition system |
CN110849368A (en) * | 2019-10-23 | 2020-02-28 | 同济大学 | High-precision rapid positioning device and method in tunnel |
CN110849368B (en) * | 2019-10-23 | 2021-09-03 | 同济大学 | High-precision rapid positioning device and method in tunnel |
CN111272220A (en) * | 2020-02-13 | 2020-06-12 | 中国铁道科学研究院集团有限公司铁道建筑研究所 | Tunnel state detection monitoring management system |
CN111914338A (en) * | 2020-08-14 | 2020-11-10 | 中国十七冶集团有限公司 | BIM (building information modeling) model building method for parameterized tunnel open cut tunnel lining structure |
CN111914338B (en) * | 2020-08-14 | 2024-01-19 | 中国十七冶集团有限公司 | Method for establishing BIM model of parameterized tunnel open cut tunnel lining structure |
CN112630223A (en) * | 2020-12-07 | 2021-04-09 | 杭州申昊科技股份有限公司 | Tunnel-based crack detection system and method |
CN112630223B (en) * | 2020-12-07 | 2023-12-26 | 杭州申昊科技股份有限公司 | Tunnel crack detection system and method |
CN115631317A (en) * | 2022-11-30 | 2023-01-20 | 北京建筑大学 | Tunnel lining ortho-image generation method and device, storage medium and terminal |
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