CN103697813A - Ballastless track slab dimension detection method and device - Google Patents
Ballastless track slab dimension detection method and device Download PDFInfo
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- CN103697813A CN103697813A CN201310747631.5A CN201310747631A CN103697813A CN 103697813 A CN103697813 A CN 103697813A CN 201310747631 A CN201310747631 A CN 201310747631A CN 103697813 A CN103697813 A CN 103697813A
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Abstract
The invention provides a ballastless track slab dimension detection method and a ballastless track slab dimension detection device. The method comprises the steps of 1) photographing a ballastless track slab from different directions and positions to obtain multiple photographs of the ballastless track slab; 2) performing image processing on the multiple photographs to obtain three-dimensional coordinates of multiple photographing measurement points of the surface of the ballastless track slab; 3) matching the three-dimensional coordinates of the multiple photographing measurement points with a three-dimensional model of the ballastless track slab to obtain the point cloud shape of the ballastless track slab; 4) fitting a measurement point set, corresponding to the same surface on the three-dimensional model, on the point cloud shape of the ballastless track slab and calculating a value of the dimension detection quantity of the ballastless track slab. The ballastless track slab dimension detection method and the ballastless track slab dimension detection device have the advantages that the quick and accurate measurement of the dimension of the ballastless track slab are realized, the detection speed is fast, the accuracy is high, the method and the device are convenient and simple to operate, and the cost is low.
Description
Technical field
The present invention relates to train rail field of measuring technique, particularly a kind of fragment-free track slab size detecting method and device.
Background technology
In recent years, along with socioeconomic lifting, the urban rail transit construction of China is also developed greatly, especially High Speed Railway Trains, form the High-speed Railway Network beginning to take shape, for people's trip has brought great conveniently, improved the comfort level of used during taking train.
In electrified high speed railway track is laid, conventionally adopting CRTS is fragment-free track slab, and it is mainly divided into CRTSI type fragment-free track slab, CRTSII type fragment-free track slab, CRTSIII type fragment-free track slab, CRTSI type double-block type ballastless track plate and CRTSII type double-block type ballastless track plate.Wherein, CRTSIII type fragment-free track slab (CRTS III, Slab Ballastless Track) refer to precast track plate by cement asphalt mortar adjust layer, on the reinforced concrete footing (bridge) of the concrete bearing layer that the scene of being laid on paves or cast-in-site, and spacing to every block of plate, the continuous orbit plate ballastless track structure pattern of adaptation ZPW-2000 track circuit.
At present, to the traditional measuring method of above-mentioned fragment-free track slab, be mainly to measure one by one by the artificial physical dimension of using steel ruler, vernier caliper, universal protractor and corresponding frock to detect needs, or employing is measured by total powerstation with prismosphere and matching tooling thereof.A large amount of measurement data need to drop into manual record and calculating, finally all detection data are gathered.From measuring data processing, not only drop into a large amount of manpowers and time, and the personal error detecting is larger.
Summary of the invention
The object of the invention is to propose a kind of fragment-free track slab size detecting method and device, can measure rapidly and accurately the size of fragment-free track slab, its detection speed is fast, degree of accuracy is high and simple and efficient to handle, cost is low.
For achieving the above object, the present invention proposes a kind of fragment-free track slab size detecting method, comprise the following steps:
Step S1: lay a plurality of photographic measurement points and coded target on fragment-free track slab surface to be measured, and place near this fragment-free track slab surface or fragment-free track slab, from different directions and position described fragment-free track slab is taken, obtain a plurality of image photographs of fragment-free track slab, wherein, in described a plurality of image photograph, take and have the plurality of photographic measurement point, coded target and two gauges, and take and have at least four identical coded targets in adjacent described a plurality of image photographs;
Step S2: a plurality of photographic measurement points, coded target and two gauges according in described a plurality of image photographs, described a plurality of image photographs are carried out to image processing, obtain the three-dimensional coordinate of a plurality of photographic measurement points on this fragment-free track slab surface;
Step S3: the three-dimensional model of this fragment-free track slab is provided, the three-dimensional coordinate of described a plurality of photographic measurement points is mated with the three-dimensional model of this fragment-free track slab, obtain the some cloud shape of described fragment-free track slab;
Step S4: the some cloud of described fragment-free track slab is carried out to matching corresponding to the measurement point set of identical faces on this three-dimensional model in shape, and calculate the value of described fragment-free track slab size detection amount.
Further, in above-mentioned fragment-free track slab size detecting method, described a plurality of coded targets are evenly laid in the surface of this fragment-free track slab, and in a plurality of image photographs, photograph at least four coded targets described in each.
Further, in above-mentioned fragment-free track slab size detecting method, described step S2 specifically comprises:
Step S21: according to a plurality of photographic measurement points in image photograph, identify the edge of this photographic measurement point and extract the marginal date of identification by image recognition algorithm, by the center of this marginal date location survey point;
Step S22: according to a plurality of coded targets in image photograph, the coded target of same-code in different images photograph is mated, described a plurality of image photograph splicings are obtained to the panoramic picture of this fragment-free track slab;
Step S23: according to the marginal date of described a plurality of photographic measurement points, calculate the three-dimensional coordinate of a plurality of photographic measurement points in the panoramic picture of this fragment-free track slab by bundle adjustment, obtain the cloud data of this fragment-free track slab surface photographic measurement point.
Further, in above-mentioned fragment-free track slab size detecting method, described step S22 specifically comprises:
Identify a plurality of coded targets in this image photograph;
The masterplate monumented point of the coded target identifying and lane database is compared, obtain the coding of a plurality of coded targets in image photograph;
The coded target of same-code in different images photograph is mated, described a plurality of image photograph splicings are obtained to the panoramic picture of this fragment-free track slab.
Further, in above-mentioned fragment-free track slab size detecting method, described step S3 specifically comprises:
The three-dimensional model of this fragment-free track slab is provided;
According to the common point coordinate in the modelling coordinate system of the measurement coordinate system of described a plurality of photographic measurement point three-dimensional coordinates and three-dimensional model, obtain the conversion parameter of described measurement coordinate system and modelling coordinate system, and the coupling of described measurement coordinate system being alignd with modelling coordinate system according to described conversion parameter;
Or with regard to proximal point algorithm, the three-dimensional coordinate of described a plurality of photographic measurement points and three-dimensional model are carried out to least square iteration by iteration, thereby the three-dimensional coordinate of described a plurality of photographic measurement points is mated with three-dimensional model;
According to above-mentioned matching result, simulate the some cloud shape of described fragment-free track slab.
Further, in above-mentioned fragment-free track slab size detecting method, described step S4 also comprises: according to the geometric relationship of described fragment-free track slab size detection amount, calculate to generate and measure form.
The present invention also provides a kind of fragment-free track slab size detecting device, size for detection of fragment-free track slab, described pick-up unit comprises: a plurality of photographic measurement points and the coded target that are laid in described fragment-free track slab surface, two gauges, Digital Video and image processing system, described two gauges are positioned near this fragment-free track slab surface or fragment-free track slab, described Digital Video is used for from different directions and position is taken described fragment-free track slab, obtain a plurality of image photographs of fragment-free track slab, wherein, in described a plurality of image photograph, take and have the plurality of photographic measurement point, coded target and two gauges, and take and have at least four identical coded targets in adjacent described a plurality of image photographs,
Described image processing system comprises:
Coordinate obtaining module, for according to a plurality of photographic measurement points, coded target and two gauges of described a plurality of image photographs, described a plurality of image photographs are carried out to image processing, obtain the three-dimensional coordinate of a plurality of photographic measurement points on this fragment-free track slab surface;
Coordinate matching module, be connected in described coordinate obtaining module, for the three-dimensional coordinate of described a plurality of photographic measurement points is mated with the three-dimensional model of this fragment-free track slab, obtain the some cloud shape of described fragment-free track slab;
And the Fitting Calculation module, be connected in described coordinate matching module, for the some cloud of described fragment-free track slab is carried out to matching corresponding to the measurement point set of identical faces on this three-dimensional model in shape, and calculate the value of described fragment-free track slab size detection amount.
Further, in above-mentioned fragment-free track slab size detecting device, described image processing system also comprises the measurement report generation module that is connected in described the Fitting Calculation module, for calculating according to the geometric relationship of described fragment-free track slab size detection amount to generate, measures form.
Further, in above-mentioned fragment-free track slab size detecting device, described a plurality of photographic measurement points are for circular, and the light echo reflective marker or the generating laser projecting laser point that adopt retroreflecting material to be made.
Further, in above-mentioned fragment-free track slab size detecting device, described a plurality of coded targets are circular and are evenly laid in the surface of this fragment-free track slab, described in each, in a plurality of image photographs, photograph at least four coded targets.
Fragment-free track slab size detecting method of the present invention and device have been realized the size of measuring rapidly and accurately fragment-free track slab, its detection speed is fast, degree of accuracy is high and simple and efficient to handle, cost is low.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of fragment-free track slab size detecting method of the present invention;
Fig. 2 is the idiographic flow schematic diagram of step S2 in Fig. 1;
Fig. 3 is the structural representation of fragment-free track slab size detecting device of the present invention;
Fig. 4 is the principle schematic of fragment-free track slab size detecting device of the present invention;
Fig. 5 is that the double ratio of the projection front and back of 4 points defines respectively schematic diagram.
Embodiment
Below in conjunction with accompanying drawing, describe the preferred embodiments of the present invention in detail.
Refer to Fig. 1, fragment-free track slab size detecting method of the present invention comprises the following steps:
Step S1: lay a plurality of photographic measurement points and coded target on fragment-free track slab surface to be measured, and place near this fragment-free track slab surface or fragment-free track slab, from different directions and position described fragment-free track slab is taken, obtain a plurality of image photographs of fragment-free track slab, wherein, in described a plurality of image photograph, take and have the plurality of photographic measurement point, coded target and two gauges, and take and have at least four identical coded targets in adjacent described a plurality of image photographs;
Step S2: a plurality of photographic measurement points, coded target and two gauges according in described a plurality of image photographs, described a plurality of image photographs are carried out to image processing, obtain the three-dimensional coordinate of a plurality of photographic measurement points on this fragment-free track slab surface;
Step S3: the three-dimensional model (IGS model) of this fragment-free track slab is provided, the three-dimensional coordinate of described a plurality of photographic measurement points is mated with the three-dimensional model of this fragment-free track slab, obtain the some cloud shape of described fragment-free track slab; Described some cloud shape formed by the three-dimensional coordinate of this each photographic measurement point of fragment-free track slab surface.
Step S4: the some cloud of described fragment-free track slab is carried out to matching corresponding to the measurement point set of identical faces on this three-dimensional model in shape, and calculate the value of described fragment-free track slab size detection amount.
Wherein, in described step S1, on fragment-free track slab to be measured, comprise a plurality of tracks that set gradually, described a plurality of photographic measurement point can be laid in each surface of this fragment-free track slab, especially on the plurality of track, the light echo reflective marker that this photographic measurement point can adopt retroreflecting material to be made, also can adopt generating laser projecting laser point etc., as long as energy blur-free imaging is in image photograph.In the present embodiment, described a plurality of photographic measurement points, for circular, also can be square or other shapes; Adopt generating laser projecting laser to put to fragment-free track slab surface and form photographic measurement point.
Described a plurality of coded target is evenly laid in the surface of this fragment-free track slab, also can evenly be laid in independent coding-control field, while making to take, in a plurality of image photographs, photograph at least four coded targets described in each, so just can utilize coding maker can realize the automatic Mosaic between different photographs.In the present embodiment, described a plurality of coded targets are circular, also can be square or other shapes.
Described two gauges are demarcated through measurement unit, can provide length standard for whole measurement.Described two gauges can be positioned near this fragment-free track slab surface or fragment-free track slab, as long as described two gauges can be taken in image photograph.In the present embodiment, described two gauges are perpendicular to the surface that this fragment-free track slab length direction is positioned over this fragment-free track slab.
From different directions described and position is taken described fragment-free track slab, the step that obtains a plurality of image photographs of fragment-free track slab specifically comprises: with measuring camera, from upper and lower, left and right all directions and the position of this fragment-free track slab, take, in described a plurality of image photograph, take and have the plurality of photographic measurement point, coded target and two gauges, and take and have at least four identical coded targets in adjacent described a plurality of image photographs.
Refer to Fig. 2, described step S2 specifically comprises:
Step S21: according to a plurality of photographic measurement points in image photograph, identify the edge of this photographic measurement point and extract the marginal date of identification by image recognition algorithm, by the center of this marginal date location survey point;
Step S22: according to a plurality of coded targets in image photograph, the coded target of same-code in different images photograph is mated, described a plurality of image photograph splicings are obtained to the panoramic picture of this fragment-free track slab;
Step S23: according to the marginal date of described a plurality of photographic measurement points, calculate the three-dimensional coordinate of a plurality of photographic measurement points in the panoramic picture of this fragment-free track slab by bundle adjustment, obtain the cloud data of this fragment-free track slab surface photographic measurement point.
Wherein, described step S22 specifically comprises:
Identify a plurality of coded targets in this image photograph;
The masterplate monumented point of the coded target identifying and lane database is compared, obtain the coding of a plurality of coded targets in image photograph;
The coded target of same-code in different images photograph is mated, described a plurality of image photograph splicings are obtained to the panoramic picture of this fragment-free track slab.
Wherein, the step that identifies a plurality of coded targets in this image photograph described in is as follows:
Because coded target is the one group of point set with special relativeness that has several round dots to form, therefore, be first to utilize edge detection algorithm to identify the boundary line of each circle, thereby ask for each home position coordinate; Secondly, by each central coordinate of circle of asking for, calculate their double ratio value, within the double ratio value of calculating meets the threshold range of our setting, confirm that this point set of identification is coded target.
Double ratio value invariant is the fundamental invariant under perspective projection, and double ratio defines according to 4 some distances on same straight line, and as above in figure, the double ratio before and after the projection of 4 points defines respectively referring to Fig. 5:
Can prove the following relation that exists
In described step S23, bundle adjustment computation process is as follows:
Bundle adjustment is to take every space light as a unit, utilizes photographic measurement point, corresponding picture point and image center point three point on a straight line condition, by collinear condition, is set out, and to each picture point, can list following two relation formulas:
Above formula is carried out can obtaining after linearization to the error equation of bundle adjustment.
Described step S3 specifically comprises:
The three-dimensional model of this fragment-free track slab is provided; This three-dimensional model can be the IGS model in cad file.
According to the common point coordinate in the modelling coordinate system of the measurement coordinate system of described a plurality of photographic measurement point three-dimensional coordinates and three-dimensional model, obtain the conversion parameter of described measurement coordinate system and modelling coordinate system, and the coupling of described measurement coordinate system being alignd with modelling coordinate system according to described conversion parameter, realize the optimization conversion between described measurement coordinate system and modelling coordinate system;
Or with regard to proximal point algorithm (ICP algorithm), the three-dimensional coordinate of described a plurality of photographic measurement points and three-dimensional model are carried out to least square iteration by iteration, thereby the three-dimensional coordinate of described a plurality of photographic measurement points is mated with three-dimensional model;
According to above-mentioned matching result, simulate the some cloud shape of described fragment-free track slab.
Wherein, complicacy due to track plates surface, be difficult to obtain rapidly described a plurality of photographic measurement and put the initial value that the Projection Iteration on three-dimensional model surface calculates, can utilize QuadTree algorithm to improve the computing velocity of free form surface subpoint initial value, this QuadTree algorithm is specially: a plane is divided into a spatial division system of four parts, each plane can continue to be subdivided into four parts as required, until satisfy condition, thereby with regard to the step of proximal point algorithm (ICP algorithm), provide a good prerequisite condition for successive iterations.
Described step S4 also comprises: according to the geometric relationship of described fragment-free track slab size detection amount, calculate to generate and measure form.
By calculating, can prove that the method asks for each detection limit error range and all meet track plates designing requirement.
As shown in the table, slope design required value and error range are 1:37 ~ 1:43, and the value of slope of calculating is all within this scope.
Refer to 3 and Fig. 4, the present invention also provides a kind of fragment-free track slab size detecting device, size for detection of fragment-free track slab 100, described pick-up unit comprises: a plurality of photographic measurement points 1 and the coded target 2 that are laid in described fragment-free track slab 100 surfaces, two gauges 3, Digital Video 4 and image processing system 5, described two gauges 3 are positioned near these fragment-free track slab 100 surfaces or fragment-free track slab 100, described Digital Video 4 for from different directions and position described fragment-free track slab 100 is taken, obtain a plurality of image photographs of fragment-free track slab 100, wherein, in described a plurality of image photograph, take and have the plurality of photographic measurement point 1, coded target 2 and two gauges 3, and take and have at least four identical coded targets in adjacent described a plurality of image photographs,
Described image processing system 5 comprises: coordinate obtaining module 52, coordinate matching module 54 and the Fitting Calculation module 56, described coordinate obtaining module 52 is for according to a plurality of photographic measurement points, coded target and two gauges of described a plurality of image photographs, described a plurality of image photographs are carried out to image processing, obtain the three-dimensional coordinate of a plurality of photographic measurement points on this fragment-free track slab surface; Described coordinate matching module 54 is connected in described coordinate obtaining module 52, for the three-dimensional coordinate of described a plurality of photographic measurement points is mated with the three-dimensional model of this fragment-free track slab, obtains the some cloud shape of described fragment-free track slab; Described the Fitting Calculation module 56 is connected in described coordinate matching module 54, for the some cloud of described fragment-free track slab is carried out to matching corresponding to the measurement point set of identical faces on this three-dimensional model in shape, and calculates the value of described fragment-free track slab size detection amount.
Described image processing system 5 also comprises measures report generation module 58, is connected in described the Fitting Calculation module 56, for calculating according to the geometric relationship of described fragment-free track slab size detection amount to generate, measures form.
In the present embodiment, described a plurality of photographic measurement points 1 and coded target 2 are circle, also can be square or other shapes.
Described a plurality of photographic measurement point 1 can be laid in each surface of this fragment-free track slab 100, especially on the plurality of track 6, the light echo reflective marker that this photographic measurement point 1 can adopt retroreflecting material to be made, also can adopt generating laser projecting laser point etc., as long as energy blur-free imaging is in image photograph.In the present embodiment, adopt generating laser 7 projecting laser points to fragment-free track slab surface to form photographic measurement point.
Described a plurality of coded target 2 is evenly laid in the surface of this fragment-free track slab 100, also can evenly be laid in independent coding-control field, a plurality of coded targets described in the present embodiment are evenly laid in a coding support 8 and form coding-control field, while making to take, in a plurality of image photographs, photograph at least four coded targets described in each, so just can utilize coding maker can realize the automatic Mosaic between different photographs.
Than prior art, fragment-free track slab size detecting method of the present invention and device, by measurement point, encoded point and station meter etc. are laid on fragment-free track slab to be measured, are controlled camera and are also taken and obtain image photograph; Finally by the image photograph of taking is mated, adjustment, calculating detection limit automatically generate detection limit form.
Traditional measuring method detects a track plates needs approximately 40 minutes consuming time, but also does not comprise the time of data preparation.And fragment-free track slab size detecting method of the present invention and device adopt the method for photographic measurement, not only speed is fast, measurement data is accurate, and the manpower dropping into is also few.The present invention by field conduct, measures a track plates and shortened to 5 minutes from original 40 minutes, and measurement progress reaches 0.01mm, has greatly improved the efficiency and the precision that detect, and time and manpower is saved input.
To sum up, fragment-free track slab size detecting method of the present invention and device have been realized the size of measuring rapidly and accurately fragment-free track slab, its detection speed is fast, degree of accuracy is high and simple and efficient to handle, cost is low.
Here description of the invention and application is illustrative, not wants by scope restriction of the present invention in the above-described embodiments.Here the distortion of disclosed embodiment and change is possible, and for those those of ordinary skill in the art, the various parts of the replacement of embodiment and equivalence are known.Those skilled in the art are noted that in the situation that not departing from spirit of the present invention or essential characteristic, and the present invention can be with other form, structure, layout, ratio, and realizes with other assembly, material and parts.In the situation that not departing from the scope of the invention and spirit, can carry out other distortion and change to disclosed embodiment here.
Claims (10)
1. a fragment-free track slab size detecting method, is characterized in that, comprises the following steps:
Step S1: lay a plurality of photographic measurement points and coded target on fragment-free track slab surface to be measured, and place near this fragment-free track slab surface or fragment-free track slab, from different directions and position described fragment-free track slab is taken, obtain a plurality of image photographs of fragment-free track slab, wherein, in described a plurality of image photograph, take and have the plurality of photographic measurement point, coded target and two gauges, and take and have at least four identical coded targets in adjacent described a plurality of image photographs;
Step S2: a plurality of photographic measurement points, coded target and two gauges according in described a plurality of image photographs, described a plurality of image photographs are carried out to image processing, obtain the three-dimensional coordinate of a plurality of photographic measurement points on this fragment-free track slab surface;
Step S3: the three-dimensional model of this fragment-free track slab is provided, the three-dimensional coordinate of described a plurality of photographic measurement points is mated with the three-dimensional model of this fragment-free track slab, obtain the some cloud shape of described fragment-free track slab;
Step S4: the some cloud of described fragment-free track slab is carried out to matching corresponding to the measurement point set of identical faces on this three-dimensional model in shape, and calculate the value of described fragment-free track slab size detection amount.
2. fragment-free track slab size detecting method according to claim 1 and device, is characterized in that, described a plurality of coded targets are evenly laid in the surface of this fragment-free track slab, and in a plurality of image photographs, photograph at least four coded targets described in each.
3. fragment-free track slab size detecting method according to claim 2, is characterized in that, described step S2 specifically comprises:
Step S21: according to a plurality of photographic measurement points in image photograph, identify the edge of this photographic measurement point and extract the marginal date of identification by image recognition algorithm, by the center of this marginal date location survey point;
Step S22: according to a plurality of coded targets in image photograph, the coded target of same-code in different images photograph is mated, described a plurality of image photograph splicings are obtained to the panoramic picture of this fragment-free track slab;
Step S23: according to the marginal date of described a plurality of photographic measurement points, calculate the three-dimensional coordinate of a plurality of photographic measurement points in the panoramic picture of this fragment-free track slab by bundle adjustment, obtain the cloud data of this fragment-free track slab surface photographic measurement point.
4. fragment-free track slab size detecting method according to claim 3, is characterized in that, described step S22 specifically comprises:
Identify a plurality of coded targets in this image photograph;
The masterplate monumented point of the coded target identifying and lane database is compared, obtain the coding of a plurality of coded targets in image photograph;
The coded target of same-code in different images photograph is mated, described a plurality of image photograph splicings are obtained to the panoramic picture of this fragment-free track slab.
5. fragment-free track slab size detecting method according to claim 1, is characterized in that, described step S3 specifically comprises:
The three-dimensional model of this fragment-free track slab is provided;
According to the common point coordinate in the modelling coordinate system of the measurement coordinate system of described a plurality of photographic measurement point three-dimensional coordinates and three-dimensional model, obtain the conversion parameter of described measurement coordinate system and modelling coordinate system, and the coupling of described measurement coordinate system being alignd with modelling coordinate system according to described conversion parameter;
Or with regard to proximal point algorithm, the three-dimensional coordinate of described a plurality of photographic measurement points and three-dimensional model are carried out to least square iteration by iteration, thereby the three-dimensional coordinate of described a plurality of photographic measurement points is mated with three-dimensional model;
According to above-mentioned matching result, simulate the some cloud shape of described fragment-free track slab.
6. fragment-free track slab size detecting method according to claim 1, is characterized in that, described step S4 also comprises: according to the geometric relationship of described fragment-free track slab size detection amount, calculate to generate and measure form.
7. a fragment-free track slab size detecting device, size for detection of fragment-free track slab, it is characterized in that, described pick-up unit comprises: a plurality of photographic measurement points and the coded target that are laid in described fragment-free track slab surface, two gauges, Digital Video and image processing system, described two gauges are positioned near this fragment-free track slab surface or fragment-free track slab, described Digital Video is used for from different directions and position is taken described fragment-free track slab, obtain a plurality of image photographs of fragment-free track slab, wherein, in described a plurality of image photograph, take and have the plurality of photographic measurement point, coded target and two gauges, and take and have at least four identical coded targets in adjacent described a plurality of image photographs,
Described image processing system comprises:
Coordinate obtaining module, for according to a plurality of photographic measurement points, coded target and two gauges of described a plurality of image photographs, described a plurality of image photographs are carried out to image processing, obtain the three-dimensional coordinate of a plurality of photographic measurement points on this fragment-free track slab surface;
Coordinate matching module, be connected in described coordinate obtaining module, for the three-dimensional coordinate of described a plurality of photographic measurement points is mated with the three-dimensional model of this fragment-free track slab, obtain the some cloud shape of described fragment-free track slab;
And the Fitting Calculation module, be connected in described coordinate matching module, for the some cloud of described fragment-free track slab is carried out to matching corresponding to the measurement point set of identical faces on this three-dimensional model in shape, and calculate the value of described fragment-free track slab size detection amount.
8. fragment-free track slab size detecting device according to claim 7, it is characterized in that, described image processing system also comprises the measurement report generation module that is connected in described the Fitting Calculation module, for calculating according to the geometric relationship of described fragment-free track slab size detection amount to generate, measures form.
9. fragment-free track slab size detecting device according to claim 7, is characterized in that, described a plurality of photographic measurement points are for circular, and the light echo reflective marker or the generating laser projecting laser point that adopt retroreflecting material to be made.
10. fragment-free track slab size detecting device according to claim 9, is characterized in that, described a plurality of coded targets are circular and are evenly laid in the surface of this fragment-free track slab, described in each, in a plurality of image photographs, photograph at least four coded targets.
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