CN108458665A - The method for carrying out the quick distortion measurement in tunnel using up short - Google Patents
The method for carrying out the quick distortion measurement in tunnel using up short Download PDFInfo
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- 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
- G01B11/16—Measuring arrangements characterised by the use of optical techniques for measuring the deformation in a solid, e.g. optical strain gauge
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Abstract
The invention discloses a kind of methods carrying out the quick distortion measurement in tunnel using up short, including camera calibration, calculate the elements of interior orientation of imaging system；Stereographing system is arranged in tunnel image collection, and area's image is surveyed in acquisition；Sky three matches, and gives matching as the outline offset between two images；Point cloud generates, and generates the three-dimensional point cloud of tunnel internal structural plane, builds threedimensional model；Shape changing detection, obtain the three-dimensional point cloud that the same area is generated in different phases, the three-dimensional point cloud generated is fitted to obtain fitting surface respectively using Kriging regression, making the difference to obtain a cloud to the fitting surface of different phases is inserted to figure, realizes the deformation monitoring to tunnel.The method that the present invention carries out the quick distortion measurement in tunnel using up short is photogrammetric using the auxiliary progress of polyphaser Stereographing system, obtain the elements of interior orientation and distortion parameter of camera, to realize the three-dimensional modeling of tunnel surface, tunnel under construction deformation is monitored.
Description
Technical field
The present invention relates to deformation monitoring technical field more particularly to a kind of utilize up short to carry out the quick deformation in tunnel to survey
The method of amount.
Background technology
The economic development of society be unable to do without the support of communications and transportation.Especially in remote mountain areas, traffic factor is particularly important
But since the complex terrain of itself makes it carry out having inborn disadvantage on material exchange with the external world.In view of cost, just
The factors such as profit, nowadays frequently with method be utilize tunnel holing through massif.Tunnel has section big, and affiliated facility is more, operation
The features such as environmental requirement is high, it is very high for the technical merit requirement of tunnel construction, in particular with emerging highway and high speed
The fast development of railway further increases the quality and security requirement of Tunnel Engineering, therefore carries out shape for Tunnel Engineering
It is very necessary to become monitoring.
The most commonly used is convergence instrument methods and total powerstation method for the means of tradition progress deformation monitoring, but all exist respectively in practical application
From defect：
Convergence instrument method reflects the convergency value in tunnel by the variation of survey line length, can not provide three deformed about point
Information is tieed up, and survey line limited amount, especially convergence instrument method are a kind of contact measurement methods, in large tunnel and the underground space
It can not use, scene is frequent occurrence as section digs, and the case where original survey line has to abandon observation, leads to monitoring data
Interruption；
Total powerstation method can realize contactlass observtion, and can obtain the three-dimensional information of point variation.But total powerstation method
Requirement to field environmental condition is high, and actual time of observation is long, often conflicts with construction operation, and the change that can be monitored
Form point limited amount.
Close-shot photography measure technique is introduced tunnel deformation monitoring field by China since 21 century, and the technical operation is simple,
Mass data can be obtained within a short period of time, and can replace artificial calculate completely with computer.But in constructing tunnel and
During operation, there are available light is insufficient or the limited restriction in space, the effects that especially during constructing tunnel by dust
Influence, carried out shooting by operating personnel is hand-held and be difficult to meet the requirement of time for exposure.
Invention content
The purpose of the present invention is that solve the above-mentioned problems and provides a kind of quick using up short progress tunnel
The method of distortion measurement.
The present invention is achieved through the following technical solutions above-mentioned purpose：
A method of the quick distortion measurement in tunnel being carried out using up short, is included the following steps：
S1, camera calibration calculate the inner orientation member of imaging system by the correspondence of object point known to foundation and picture point
Element；
Stereographing system is arranged in tunnel for S2, image collection, and area's image is surveyed in acquisition；
S3, sky three match, and the artificial seed point for giving corresponding image between the seed point and air strips of stereogram in air strips obtains
The same place on different images is taken, gives matching as the outline offset between two images；
S4, point cloud generate, and generate the three-dimensional point cloud of tunnel internal structural plane, build threedimensional model；
S5, shape changing detection obtain the three-dimensional point that the same area is generated in different phases for the different phase of constructing tunnel
Cloud is fitted to obtain fitting surface respectively, the fitting to different phases to the three-dimensional point cloud generated using Kriging regression
Curved surface makes the difference to obtain a cloud and is inserted to figure, realizes the deformation monitoring to tunnel.
Specifically, above-mentioned steps S1 specifically includes following steps：
A1, fixed camera shoot scaling board, obtain the image of scaling board, according to camera collinearity equation imaging model, obtain
Equation：
Feature vector corresponding to its minimal eigenvalue is the least square solution of formula (1)；
In formula：S is scale factor related with homogeneous world coordinates
U is as unit of pixel, using the image upper left corner as the abscissa of the image coordinate system of origin
V is as unit of pixel, using the image upper left corner as the ordinate of the image coordinate system of origin
A is camera Intrinsic Matrix
R is the spin matrix of object coordinates system and coordinate systems in image rotation transformation
T is the translation vector of Two coordinate system origin
X Y Z are object coordinates system coordinate
A2, evaluation function is established according to the minimal eigenvalue of formula (1), is solved using Levenberg-Marquarat algorithms
Elements of interior orientation establishes two constraintss of camera internal position element solution：
It enables
Solve elements of interior orientation：
In formula：H is homography matrix, i.e., the matrix that above-mentioned A matrixes are obtained with [R, t] multiplication
B is A-TA-1Wherein it is camera Intrinsic Matrix
α is physical size of the pixel in X-direction
β is the physical size of a pixel in the Y direction
γ is obliquity factor, indicates the angle between two axis in pixel coordinate system
Distance away from i.e. photo centre to image plane based on f
λ is that arbitrary scalar makes H=λ A [r1,r2,t]
A3, rotation scaling board, shoot n width images, the minimum for solving following formula is worth to maximum likelihood and estimates from different angles
Meter,
In formula：M is identical calibration point quantity in image；
mijIt is picture coordinate vector of j-th of object point on the i-th width image in three-dimensional scenic；
RiIt is the spin matrix of the i-th width image；
tiIt is the translational movement of the i-th width image；
MjIt is the space coordinate of j-th of object point in three-dimensional scenic；
It is by the known picture point estimated coordinates being initially worth to；
A4, lens distortion calibration set the distortion model of radial distortion：
In formula：(x, y) is the image coordinate before correction；
For the image coordinate after correction；
k1For single order radial distortion coefficient；
k2For second order coefficient of radial distortion；
Formula (5) is converted into pixel coordinate：
In formula：(u, v) is the image pixel coordinates before correction；
For the image pixel coordinates after correction；
The pixel coordinate equation of n width images is superimposed, matrix is obtained：
Simplified：
Dk=d (8)
The distortion parameter that least square method is asked is carried out to formula (8)：
K=(DTD)-1DTd(9)
A5, the k asked1And k2, elements of interior orientation is corrected by non-linearization optimization process, is recalculated
Then re-apply maximal possibility estimation and Levenber-Marquarat algorithm iterations into
The processing of row minimum, reduces radial distortion error, acquires elements of interior orientation.
Preferably, there are three three-dimensional camera systems for same survey area setting in the image collection in the step S2, and survey area
The area ratio of image and camera phase width is not less than 0.8；
If it includes corner to survey area, image collection is divided into two engineerings, and make when acquiring image adjacent survey area have 30% with
On degree of overlapping；
After the completion of image collection, Imaging enhanced processing, including sharpening, brightness adjustment, setting contrast, filter are carried out to image
Wave and histogram stretch.
Specifically, the Stereographing system includes camera, holder, slide unit, guide rail and gasket, and the both ends of the guide rail are logical
It crosses the gasket to be fixedly connected with tunnel wall, the slide unit and the guide rail slidable connection, the holder is solid with the slide unit
Fixed connection, the camera are mounted on the holder.
Specifically, the upper side of the gasket is provided with inverted T shaped groove, and the bottom surface of the inverted T shaped groove is provided with screw hole, described
Gasket passes through the screw of the screw hole to be fixedly connected with the tunnel wall.
Specifically, the guide rail is drum structure, and the lower side panel of the track is fastened in the inverted T shaped groove of the gasket,
The translot deep equality of the downside plate thickness of the guide rail and the inverted T shaped groove of the gasket, the vertical slot width of the inverted T shaped groove with
The stage casing width of the guide rail is equal, and the depth of the inverted T shaped groove vertical slot is less than the thickness in the guide rail stage casing.
Specifically, the downside of the slide unit is provided with positive T-slot, depth and the guide rail of the positive T-slot translot
Upside plate thickness it is equal, the vertical slot width of the positive T-slot is equal with the stage casing width of the guide rail, and the positive T-slot is perpendicular
The depth of slot is equal to the thickness in the guide rail stage casing.
Specifically, the downside of the holder is solid by the connecting rod of four rectangular distributions and the upper side of the slide unit
Fixed connection, the camera are fixedly connected with the upper side of the holder.
Preferably, the upper side of the slide unit is provided with threaded hole, and the lower end of the connecting rod is provided with and the screw thread
The threaded post of hole adaptation, is provided with through-hole on the holder, the upper end of the connecting rod is provided with threaded connecting hole, described
The lower end of connecting rod is fixedly connected by the threaded hole and the threaded post with the slide unit, and the upper end of the connecting rod passes through
Screw across the connecting hole is fixedly connected with the holder.
The beneficial effects of the present invention are：
The method that the present invention carries out the quick distortion measurement in tunnel using up short is auxiliary using polyphaser Stereographing system
It helps progress photogrammetric, the elements of interior orientation and distortion parameter of camera is obtained, to realize the three-dimensional modeling of tunnel surface, to applying
Duration tunnel deformation is monitored.
Description of the drawings
Fig. 1 is the flow chart of the method for the present invention that the quick distortion measurement in tunnel is carried out using up short；
Fig. 2 is the structural schematic diagram of Stereographing system of the present invention；
Fig. 3 is the structural schematic diagram of gasket of the present invention；
Fig. 4 is the structural schematic diagram of guide rail of the present invention；
Fig. 5 is the structural schematic diagram of slide unit of the present invention and the holder.
Specific implementation mode
The invention will be further described below in conjunction with the accompanying drawings：
Invention is achieved through the following technical solutions above-mentioned purpose：
As shown in Figure 1, a kind of method carrying out the quick distortion measurement in tunnel using up short, including camera calibration, shadow
As acquisition, three matching of sky, point cloud generates and shape changing detection；
S1, camera calibration calculate the inner orientation member of imaging system by the correspondence of object point known to foundation and picture point
Element；
Specifically include following steps：
A1, fixed camera shoot scaling board, obtain the image of scaling board, according to camera collinearity equation imaging model, obtain
Equation：
Feature vector corresponding to its minimal eigenvalue is the least square solution of formula (1)；
In formula：S is scale factor related with homogeneous world coordinates
U is as unit of pixel, using the image upper left corner as the abscissa of the image coordinate system of origin
V is as unit of pixel, using the image upper left corner as the ordinate of the image coordinate system of origin
A is camera Intrinsic Matrix
R is the spin matrix of object coordinates system and coordinate systems in image rotation transformation
T is the translation vector of Two coordinate system origin
X Y Z are object coordinates system coordinate
A2, evaluation function is established according to the minimal eigenvalue of formula (1), is solved using Levenberg-Marquarat algorithms
Elements of interior orientation establishes two constraintss of camera internal position element solution：
It enables
Solve elements of interior orientation：
In formula：H is the matrix that homography matrix, that is, above-mentioned matrix A is obtained with [R, t] multiplication
B is A-TA-1Wherein A is camera Intrinsic Matrix
α is physical size of the pixel in X-direction
β is the physical size of a pixel in the Y direction
γ is obliquity factor, indicates the angle between two axis in pixel coordinate system
Away from the i.e. distance of photo centre to image plane based on f
λ is arbitrary scalar so that H=λ A [r1,r2,t]
A3, rotation scaling board, shoot n width images, the minimum for solving following formula is worth to maximum likelihood and estimates from different angles
Meter,
In formula：M is identical calibration point quantity in image；
mijIt is picture coordinate vector of j-th of object point on the i-th width image in three-dimensional scenic；
RiIt is the spin matrix of the i-th width image；
tiIt is the translational movement of the i-th width image；
MjIt is the space coordinate of j-th of object point in three-dimensional scenic；
It is by the known picture point estimated coordinates being initially worth to；
A4, lens distortion calibration set the distortion model of radial distortion：
In formula：(x, y) is the image coordinate before correction；
For the image coordinate after correction；
k1For single order radial distortion coefficient；
k2For second order coefficient of radial distortion；
Formula (5) is converted into pixel coordinate：
In formula：(u, v) is the image pixel coordinates before correction；
For the image pixel coordinates after correction；
The pixel coordinate equation of n width images is superimposed, matrix is obtained：
Simplified：
Dk=d (8)
The distortion parameter that least square method is asked is carried out to formula (8)：
K=(DTD)-1DTd(9)
A5, the k asked1And k2, elements of interior orientation is corrected by non-linearization optimization process, is recalculated
Then re-apply maximal possibility estimation and Levenber-Marquarat algorithm iterations into
The processing of row minimum, reduces radial distortion error, acquires elements of interior orientation.
Stereographing system is arranged in tunnel for S2, image collection, and area's image is surveyed in acquisition；
Image is acquired using polyphaser Stereographing system, can ensure base station stabilization of photographing, effectively reduce by exterior orientation
The resolving residual error that element wave zone comes.It should meet following requirement during acquisition image：
It takes the photograph station number and at least ensures 3 stations, photograph successively from object area shot.
Object must be full of camera film size (picture) 80% or more, otherwise should replace camera lens or adjustment photo distance,
This point is to ensure matched basic demand between image, it is necessary to be met.
If object has corner, to ensure that image can match, two engineerings should be divided into and shot.And in acquisition shadow
As when ensure that there is 30% or more degree of overlapping in adjacent survey area, and corner should arrange control point as tie point.
By constructing tunnel, the poor image of operation light, captured photo tends not to meet the needs of photogrammetric,
It needs to carry out necessary processing for image before image data processing, to realize Imaging enhanced effect.
S3, sky three match, and the artificial seed point for giving corresponding image between the seed point and air strips of stereogram in air strips obtains
The same place on different images is taken, gives matching as the outline offset between two images；
S4, point cloud generate, and generate the three-dimensional point cloud of tunnel internal structural plane, build threedimensional model；
Matching is encrypted after the completion of sky three, generates tunnel internal structural plane three-dimensional point cloud, it is thick by being directed to generation point cloud
Structure TIN nets create threedimensional model after difference proposes.
S5, shape changing detection obtain the three-dimensional point that the same area is generated in different phases for the different phase of constructing tunnel
Cloud is fitted to obtain fitting surface respectively, the fitting to different phases to the three-dimensional point cloud generated using Kriging regression
Curved surface makes the difference to obtain a cloud and is inserted to figure, realizes the deformation monitoring to tunnel.
As shown in Fig. 2, Fig. 3, Fig. 4 and Fig. 5, Stereographing system includes camera 6, holder 4, slide unit 3, guide rail 2 and gasket
1, the both ends of guide rail 2 are fixedly connected by gasket 1 with tunnel wall, slide unit 3 and 2 slidable connection of guide rail, and holder 4 is solid with slide unit 3
Fixed connection, camera 6 are mounted on holder 4.
The upper side of gasket 1 is provided with inverted T shaped groove 11, and the bottom surface of inverted T shaped groove 11 is provided with screw hole, and gasket 1 passes through screw hole
Screw be fixedly connected with tunnel wall.
Guide rail 2 is drum structure, and the lower side panel of track is fastened in the inverted T shaped groove 11 of gasket 1, the lower side panel 23 of guide rail 2
The translot deep equality of thickness and the inverted T shaped groove 11 of gasket 1, the vertical slot width of inverted T shaped groove 11 and the stage casing width phase of guide rail 2
Deng, 11 vertical slot of inverted T shaped groove depth be less than guide rail 2 stage casing 22 thickness.
The downside of slide unit 3 is provided with positive T-slot 31, the depth of 31 translot of positive T-slot and 21 thickness of epipleural of guide rail 2
Equal, the vertical slot width of positive T-slot 31 is equal with the stage casing width of guide rail 2, and the depth of 31 vertical slot of positive T-slot is equal to guide rail 2
The thickness in stage casing 22.
The downside of holder 4 is fixedly connected by the connecting rod 5 of four rectangular distributions with the upper side of slide unit 3, camera 6
It is fixedly connected with the upper side of holder 4.
The upper side of slide unit 3 is provided with threaded hole, and the lower end of connecting rod 5 is provided with the threaded post being adapted to threaded hole, cloud
Through-hole is provided on platform 4, the upper end of connecting rod 5 is provided with threaded connecting hole, and the lower end of connecting rod 5 passes through threaded hole and spiral shell
Line column is fixedly connected with slide unit 3, and the upper end of connecting rod 5 is fixedly connected by the screw across connecting hole with holder 4.
Gasket 1 is fixed on the inside of tunnel by screw, then guide rail 2 is engaged in the inverted T shaped groove 11 of gasket 1,
The positive T-slot 31 of sliding block is engaged on guide rail 2, and can be slided along track, to control position of the camera 6 on guide rail 2.
Ensure stable state of the camera 6 in sliding process, and guide rail 2 is passed through by the pedestal of slide unit 3 at polishing grinding
Reason also ensures the velocity-stabilization in sliding process while ensureing attitude stabilization sliding.
Technical scheme of the present invention is not limited to the limitation of above-mentioned specific embodiment, every to do according to the technique and scheme of the present invention
The technology deformation gone out, each falls within protection scope of the present invention.
Claims (9)
1. a kind of method carrying out the quick distortion measurement in tunnel using up short, which is characterized in that include the following steps：
S1, camera calibration calculate the elements of interior orientation of imaging system by the correspondence of object point known to foundation and picture point；
Stereographing system is arranged in tunnel for S2, image collection, and area's image is surveyed in acquisition；
S3, sky three match, and the artificial seed point for giving corresponding image between the seed point and air strips of stereogram in air strips obtains not
With the same place on image, matching is given as the outline offset between two images；
S4, point cloud generate, and generate the three-dimensional point cloud of tunnel internal structural plane, build threedimensional model；
S5, shape changing detection obtain the three-dimensional point cloud that the same area is generated in different phases for the different phase of constructing tunnel,
The three-dimensional point cloud generated is fitted to obtain fitting surface respectively using Kriging regression, to the fitting surface of different phases
It makes the difference to obtain a cloud and is inserted to figure, realize the deformation monitoring to tunnel.
2. the method according to claim 1 for carrying out the quick distortion measurement in tunnel using up short, it is characterised in that：On
It states step S1 and specifically includes following steps：
A1, fixed camera shoot scaling board, obtain the image of scaling board, according to camera collinearity equation imaging model, obtain equation：
Feature vector corresponding to its minimal eigenvalue is the least square solution of formula (1)；
In formula：S is scale factor related with homogeneous world coordinates
U is as unit of pixel, using the image upper left corner as the abscissa of the image coordinate system of origin
V is as unit of pixel, using the image upper left corner as the ordinate of the image coordinate system of origin
A is camera Intrinsic Matrix
R is the spin matrix of object coordinates system and coordinate systems in image rotation transformation
T is the translation vector of Two coordinate system origin
X Y Z are object coordinates system coordinate
A2, evaluation function is established according to the minimal eigenvalue of formula (1), interior side is solved using Levenberg-Marquarat algorithms
Bit element, establishes two constraintss of camera internal position element solution：
It enables
Solve elements of interior orientation：
In formula：H is homography matrix, i.e., the matrix that above-mentioned A matrixes are obtained with [R, t] multiplication
B is A-TA-1Wherein it is camera Intrinsic Matrix
α is physical size of the pixel in X-direction
β is the physical size of a pixel in the Y direction
γ is obliquity factor, indicates the angle between two axis in pixel coordinate system
Distance away from i.e. photo centre to image plane based on f
λ is that arbitrary scalar makes H=λ A [r1,r2,t]
A3, rotation scaling board, shoot n width images from different angles, and the minimum for solving following formula is worth to maximal possibility estimation,
In formula：M is identical calibration point quantity in image；
mijIt is picture coordinate vector of j-th of object point on the i-th width image in three-dimensional scenic；
RiIt is the spin matrix of the i-th width image；
tiIt is the translational movement of the i-th width image；
MjIt is the space coordinate of j-th of object point in three-dimensional scenic；
It is by the known picture point estimated coordinates being initially worth to；
A4, lens distortion calibration set the distortion model of radial distortion：
In formula：(x, y) is the image coordinate before correction；
For the image coordinate after correction；
k1For single order radial distortion coefficient；
k2For second order coefficient of radial distortion；
Formula (5) is converted into pixel coordinate：
In formula：(u, v) is the image pixel coordinates before correction；
For the image pixel coordinates after correction；
The pixel coordinate equation of n width images is superimposed, matrix is obtained：
Simplified：
Dk=d (8)
The distortion parameter that least square method is asked is carried out to formula (8)：
K=(DTD)-1DTd (9)
A5, the k asked1And k2, elements of interior orientation is corrected by non-linearization optimization process, is recalculatedThen
It re-applies maximal possibility estimation and Levenber-Marquarat algorithm iterations carries out minimum processing, reduce radial distortion and miss
Difference acquires elements of interior orientation.
3. the method according to claim 1 for carrying out the quick distortion measurement in tunnel using up short, it is characterised in that：On
Stating same survey area setting in the image collection in step S2, there are three three-dimensional camera systems, and survey the face of area's image and camera phase width
Product is than being not less than 0.8；
If it includes corner to survey area, image collection is divided into two engineerings, and so that adjacent survey area is had 30% or more when acquiring image
Degree of overlapping；
After the completion of image collection, to image carry out Imaging enhanced processing, including sharpening, brightness adjustment, setting contrast, filtering and
Histogram stretches.
4. the method according to claim 1 for carrying out the quick distortion measurement in tunnel using up short, it is characterised in that：Institute
It includes camera, holder, slide unit, guide rail and gasket to state Stereographing system, and the both ends of the guide rail pass through the gasket and tunnel
Wall is fixedly connected, and the slide unit and the guide rail slidable connection, the holder are fixedly connected with the slide unit, the camera peace
On the holder.
5. the method according to claim 4 for carrying out the quick distortion measurement in tunnel using up short, it is characterised in that：Institute
The upper side for stating gasket is provided with inverted T shaped groove, and the bottom surface of the inverted T shaped groove is provided with screw hole, and the gasket passes through the screw hole
Screw be fixedly connected with the tunnel wall.
6. the method according to claim 5 for carrying out the quick distortion measurement in tunnel using up short, it is characterised in that：Institute
It is drum structure to state guide rail, and the lower side panel of the track is fastened in the inverted T shaped groove of the gasket, the downside plate thickness of the guide rail
The translot deep equality of degree and the inverted T shaped groove of the gasket, the vertical slot width of the inverted T shaped groove and the stage casing width of the guide rail
Equal, the depth of the inverted T shaped groove vertical slot is less than the thickness in the guide rail stage casing.
7. the method according to claim 6 for carrying out the quick distortion measurement in tunnel using up short, it is characterised in that：Institute
The downside for stating slide unit is provided with positive T-slot, and the depth of the positive T-slot translot is equal with the upside plate thickness of the guide rail,
The vertical slot width of the positive T-slot is equal with the stage casing width of the guide rail, and the depth of the positive T-slot vertical slot is equal to described lead
The thickness in rail stage casing.
8. the method according to claim 4 for carrying out the quick distortion measurement in tunnel using up short, it is characterised in that：Institute
The downside for stating holder is fixedly connected by the connecting rod of four rectangular distributions with the upper side of the slide unit, the camera with
The upper side of the holder is fixedly connected.
9. the method according to claim 8 for carrying out the quick distortion measurement in tunnel using up short, it is characterised in that：Institute
The upper side for stating slide unit is provided with threaded hole, and the lower end of the connecting rod is provided with the threaded post being adapted to the threaded hole, institute
It states and is provided with through-hole on holder, the upper end of the connecting rod is provided with threaded connecting hole, and the lower end of the connecting rod passes through
The threaded hole and the threaded post are fixedly connected with the slide unit, and the upper end of the connecting rod passes through across the connecting hole
Screw is fixedly connected with the holder.
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| CN109408912A (en) * | 2018-10-09 | 2019-03-01 | 中铁八局集团第二工程有限公司 | Abnormity component parametric modeling method based on Revit secondary development |
| CN109458945A (en) * | 2018-12-26 | 2019-03-12 | 深圳市市政设计研究院有限公司 | A kind of tunnel deformation monitoring system and method based on digital photogrammetry technology |
| CN110360990A (en) * | 2019-08-05 | 2019-10-22 | 武汉天际航信息科技股份有限公司 | A kind of close range photogrammetric system and method |
| CN110567438A (en) * | 2019-07-29 | 2019-12-13 | 武汉大学 | Watershed reservoir bank deformation close-range photogrammetry monitoring method based on water mobile platform |
| CN111798476A (en) * | 2020-06-08 | 2020-10-20 | 国网江西省电力有限公司电力科学研究院 | Method for extracting axis of conductive arm of high-voltage isolating switch |
| CN113610786A (en) * | 2021-07-27 | 2021-11-05 | 中国科学院光电技术研究所 | Track deformation monitoring method based on visual measurement |
| CN113776505A (en) * | 2021-07-02 | 2021-12-10 | 河南理工大学 | Method for realizing close-range photogrammetry and three-dimensional visualization |
| CN114564775A (en) * | 2022-02-14 | 2022-05-31 | 中国地质大学（北京） | Double-scale coupling numerical simulation method suitable for building tunnel above goaf |
| WO2022120607A1 (en) * | 2020-12-08 | 2022-06-16 | 深圳大学 | Three-dimensional deformation measurement system, method, and apparatus, and storage medium |
| CN114970127A (en) * | 2022-05-17 | 2022-08-30 | 长江大学 | Crack network point cloud generation method for grid-free oil reservoir numerical simulation |
| CN115597514A (en) * | 2022-10-14 | 2023-01-13 | 深圳市嬴邦土木科技发展有限公司（Cn） | Tunnel deformation measurement system, method and device for dynamic networking of slide rail camera |
| TWI790732B (en) * | 2021-08-31 | 2023-01-21 | 宏碁股份有限公司 | Image correction method and image correction device |
| CN117190900A (en) * | 2023-11-07 | 2023-12-08 | 中铁八局集团第二工程有限公司 | Tunnel surrounding rock deformation monitoring method |
| CN117232422A (en) * | 2023-11-15 | 2023-12-15 | 中铁八局集团第二工程有限公司 | Tunnel deformation real-time detection device considering random excitation effect of vehicle |
| CN117268320A (en) * | 2023-11-20 | 2023-12-22 | 中铁八局集团第二工程有限公司 | Special tunnel deformation measuring device and measuring method thereof |
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| CN109408912A (en) * | 2018-10-09 | 2019-03-01 | 中铁八局集团第二工程有限公司 | Abnormity component parametric modeling method based on Revit secondary development |
| CN109408912B (en) * | 2018-10-09 | 2023-08-18 | 中铁八局集团第二工程有限公司 | Special-shaped component parameterized modeling method based on Revit secondary development |
| CN109458945A (en) * | 2018-12-26 | 2019-03-12 | 深圳市市政设计研究院有限公司 | A kind of tunnel deformation monitoring system and method based on digital photogrammetry technology |
| CN110567438A (en) * | 2019-07-29 | 2019-12-13 | 武汉大学 | Watershed reservoir bank deformation close-range photogrammetry monitoring method based on water mobile platform |
| CN110360990A (en) * | 2019-08-05 | 2019-10-22 | 武汉天际航信息科技股份有限公司 | A kind of close range photogrammetric system and method |
| CN111798476A (en) * | 2020-06-08 | 2020-10-20 | 国网江西省电力有限公司电力科学研究院 | Method for extracting axis of conductive arm of high-voltage isolating switch |
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| WO2022120607A1 (en) * | 2020-12-08 | 2022-06-16 | 深圳大学 | Three-dimensional deformation measurement system, method, and apparatus, and storage medium |
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| CN113610786A (en) * | 2021-07-27 | 2021-11-05 | 中国科学院光电技术研究所 | Track deformation monitoring method based on visual measurement |
| CN113610786B (en) * | 2021-07-27 | 2023-06-13 | 中国科学院光电技术研究所 | Rail deformation monitoring method based on vision measurement |
| TWI790732B (en) * | 2021-08-31 | 2023-01-21 | 宏碁股份有限公司 | Image correction method and image correction device |
| CN114564775B (en) * | 2022-02-14 | 2022-10-11 | 中国地质大学（北京） | Double-scale coupling numerical simulation method suitable for building tunnel above goaf |
| CN114564775A (en) * | 2022-02-14 | 2022-05-31 | 中国地质大学（北京） | Double-scale coupling numerical simulation method suitable for building tunnel above goaf |
| CN114970127B (en) * | 2022-05-17 | 2023-06-16 | 长江大学 | Crack network point cloud generation method for numerical simulation of gridless oil reservoir |
| CN114970127A (en) * | 2022-05-17 | 2022-08-30 | 长江大学 | Crack network point cloud generation method for grid-free oil reservoir numerical simulation |
| CN115597514A (en) * | 2022-10-14 | 2023-01-13 | 深圳市嬴邦土木科技发展有限公司（Cn） | Tunnel deformation measurement system, method and device for dynamic networking of slide rail camera |
| CN117190900A (en) * | 2023-11-07 | 2023-12-08 | 中铁八局集团第二工程有限公司 | Tunnel surrounding rock deformation monitoring method |
| CN117190900B (en) * | 2023-11-07 | 2024-01-02 | 中铁八局集团第二工程有限公司 | Tunnel surrounding rock deformation monitoring method |
| CN117232422A (en) * | 2023-11-15 | 2023-12-15 | 中铁八局集团第二工程有限公司 | Tunnel deformation real-time detection device considering random excitation effect of vehicle |
| CN117232422B (en) * | 2023-11-15 | 2024-01-23 | 中铁八局集团第二工程有限公司 | Tunnel deformation real-time detection device considering random excitation effect of vehicle |
| CN117268320A (en) * | 2023-11-20 | 2023-12-22 | 中铁八局集团第二工程有限公司 | Special tunnel deformation measuring device and measuring method thereof |
| CN117268320B (en) * | 2023-11-20 | 2024-01-26 | 中铁八局集团第二工程有限公司 | Special tunnel deformation measuring device and measuring method thereof |
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