CN103063134B - Gravel geometric feature acquisition system and acquisition method - Google Patents
Gravel geometric feature acquisition system and acquisition method Download PDFInfo
- Publication number
- CN103063134B CN103063134B CN201210573962.7A CN201210573962A CN103063134B CN 103063134 B CN103063134 B CN 103063134B CN 201210573962 A CN201210573962 A CN 201210573962A CN 103063134 B CN103063134 B CN 103063134B
- Authority
- CN
- China
- Prior art keywords
- rubble
- gravel
- image
- minute surface
- acquisition method
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 17
- 238000009966 trimming Methods 0.000 claims description 9
- 238000009434 installation Methods 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 abstract description 5
- 238000012360 testing method Methods 0.000 abstract description 5
- 239000012634 fragment Substances 0.000 abstract 1
- 239000011435 rock Substances 0.000 abstract 1
- 238000012216 screening Methods 0.000 abstract 1
- 239000004575 stone Substances 0.000 description 11
- 239000002245 particle Substances 0.000 description 8
- 238000003384 imaging method Methods 0.000 description 4
- 239000010410 layer Substances 0.000 description 3
- 230000007774 longterm Effects 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 238000010276 construction Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000000428 dust Substances 0.000 description 2
- 238000013341 scale-up Methods 0.000 description 2
- 238000004062 sedimentation Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000007873 sieving Methods 0.000 description 1
- 239000002344 surface layer Substances 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Landscapes
- Length Measuring Devices By Optical Means (AREA)
Abstract
The invention discloses a gravel geometric feature acquisition system and an acquisition method. A plane mirror assembly and a video camera are used for obtaining real gravel geometric features, and a gravel three-dimensional model is received according to the three-dimensional reconstruction technology, and the gravel geometric feature acquisition system and the acquisition method are used for obtaining the gravel geometric features and gradation characteristics. The main structure of the system comprises a retroreflector surface group, a video camera, and a computer. A picture is received by shooting at the gravels between the two mirrors and images reflected in the mirror, the images are inputted into the computer through a data line, the geometric features of rock fragments are gained through a three-dimensional reconstruction algorithm, and the three-dimensional model is established. The gravel geometric feature acquisition system and the acquisition method have the advantages that the geometrical features data of gravels are obtained, the granular real shape is restored, the shortcoming that a traditional screening test can only determine the minimum grain size is overcome. The gravel geometric feature acquisition system and the acquisition method are capable of meeting the accuracy requirements of the gravel granularity analysis, and of carrying out a plurality of stress deformation analysis by establishing a model combined with a discrete element software analysis technology.
Description
Technical field
The present invention relates to geometric properties acquisition system and acquisition method, especially relate to a kind of rubble geometric properties acquisition system and acquisition method.
Background technology
Along with the fast development of China Express Railway building cause, improve Subgrade Construction Quality, adapt to Leap-forward Development of Railway, seemed very important, and the appearance of Line for Passenger Transportation to the design of traditional railway, construction and maintenance, brand-new challenge has been proposed more.Railway bed is the important component part of railway engineering, and it is mainly comprised of the following embankment of surface layer of subgrade bed, bottom layer of subgrade and bedding as earthen structure, and the sedimentation of roadbed is mainly also that the stack of these a few part sedimentations produces.Graded broken stone layer is as the direct basis of track structure, its movement of particles restructuring and the quasi-plastic property distortion and the consequent subgrade settlement that cause are just urgently studied.Practice at home and abroad shows, the track deformation that poor grain size distribution metalling causes is several times of good graded broken stone layer, and its gap has with the raising of train speed the trend further widening.The size and dimension of gravel particle distributes and will determine their usability, own through becoming a kind of indispensable detection technique in field of traffic facilities such as railway and highways to gravel particle test.In order to grasp the grating of rubble, generally adopt at present traditional method for sieving, it is large that its shortcoming mainly contains noise, and dust pollution is serious, takes time and effort simultaneously, and measuring accuracy is not high, and the data of obtaining are comparatively coarse.Have a lot of scholars to be devoted to theory and the experimental study of subgrade settlement, and the research of the stressed restructuring under High-speed Train Loads and long-term settlement thereof is confined to triaxial test and experience value mostly to railway bed graded broken stone.In the analysis of railway bed, can not consider the discreteness of rubble and the geometric characteristic of itself, so analysis result and actual test data differ greatly.
Summary of the invention
In order to overcome traditional macadam gradating size analysis effort, consuming time, noise and the large problem of dust pollution, the invention provides a kind of rubble geometric properties acquisition system and acquisition method, the five view imagings for graded broken stone, coordinate three-dimensional reconstruction reduction particle shape, for obtaining of gravel particle three-dimensional geometry feature and Grading feature, and can be in conjunction with discrete element software analysis bedding graded broken stone stressed restructuring and the Long-term Settlement thereof under action of traffic loading.
For achieving the above object, the technical solution used in the present invention is:
One, a kind of rubble geometric properties acquisition system:
The present invention is the horizontal object disposing platform of installation on the adjutage of one end of the tripod with adjutage, with installation level on the other end adjutage of the tripod of adjutage to trimming rack, level is installed video camera on trimming rack, on horizontal object disposing platform, lay fixed support, fixed support is together with the minute surface group at right angle setting being comprised of two minute surfaces, between two level crossings of minute surface group, adopt hinging manner to connect, rubble to be measured is placed on horizontal object disposing platform and two Mirror Symmetry axles, distance two minute surface 5-10cm places, directly over rubble to be measured, LED light source is installed, video camera is connected with computing machine by data line.
Two, a kind of acquisition method of rubble geometric properties acquisition system:
1) utilize mirror-reflection image-forming principle, two level crossings of use minute surface group obtain the image of a plurality of of rubble to be measured;
2) use video camera that rubble to be measured and four reflection images in minute surface thereof are taken in same photo;
3) photo is imported to computing machine by data line;
4) thus the pre-service, the image that in computing machine, utilize image processing program to complete successively image are cut apart, the three-dimensional reconstruction based on outline line obtains three-dimensional model.
Described three-dimensional model obtains the image information of five different angles of same rubble on same photo.
The present invention compares the beneficial effect having with background technology:
(1) utilize mirror-reflection only to need a video camera just can obtain the multi-angle view of rubble, simple equipments is easily gone, little to site requirements.
(2) can accurately to the multiple directions of rubble, make a video recording, the edge-detected image obtaining just can filter out pseudo-edge situation;
(3) in conjunction with three-dimensional reconstruction, just can reduce ideally particle shape, thereby overcome conventional screen separating tests, only determine the shortcoming of minimum grain size, meet the accuracy requirement of rubble sreen analysis;
(4) after reduction particle shape, in conjunction with analytical technologies such as discrete element softwares, can carry out stressed restructuring and the Long-term Settlement thereof of bedding graded broken stone under action of traffic loading.
Accompanying drawing explanation
Fig. 1 is rubble geometric properties acquisition system population distribution figure.
Fig. 2 is the optical path floor map of mirror-reflection imaging.
Fig. 3 is the optical path schematic perspective view of mirror-reflection imaging.
In figure: the horizontal object disposing platform of 1-, 2-computing machine, 3-data line, 4-level be tripod system, 12-power supply, the 13-fixed support with adjutage to trimming rack, 5-video camera, 6-rubble to be measured, 7-power lead, 8-minute surface group, 9-LED light source, the vertical trimming rack of 10-, 11-.
Embodiment
Below in conjunction with accompanying drawing, this is described further.
As shown in Figure 1, the present invention adopts the tripod 11 with adjutage, select ground grading to install on tripod 11, in adjutage one end, in three point articulated modes, horizontal articles holding table 1 is installed, horizontal articles holding table 1 is furnished with the panel of two kinds of colors of the removable depth, when light rubble is carried out to image acquisition, use dark panel, it is to be replaced by light panel that dark rubble is carried out to image acquisition, guarantees that articles holding table 1 color and rubble to be measured 6 have larger contrast.At the other end of adjutage, level is installed to trimming rack 4, by be hinged the minute surface group 8 forming by two level crossings, with minute surface, the form perpendicular to articles holding table is placed on horizontal articles holding table.By fixed support 13 and 8 assemblings of minute surface group, in order to fixing minute surface, between adjustment minute surface, to make two minute surface angle positions be 72 ° of left and right to angle.Rubble 6 to be measured is placed on horizontal articles holding table on the axis of symmetry between minute surface group apart from minute surface 5-10cm place, the selection of concrete distance will be according to determining with a collection of crushed stone particle diameter of Information Monitoring that needs, apart from minute surface distance, should be not less than 1.5 times of its minimum grain size, if stone volume is excessive, should suitably adopt larger minute surface to guarantee complete 4 reflection images that obtain stone.After determining rubble 6 putting positions to be measured, in this position, make marks, with a collection of rubble that carries out image acquisition, should all be placed on this position and carry out image acquisition.The height of adjusting vertical trimming rack 10 is that light source position is higher than minute surface group 10cm left and right, on the horizontal extension arm of support, LED light source 9 is installed, according to minute surface group 8 positions, adjust light source position and make light source directly over rubble to be measured, connect the power lead 7 of LED light source to power supply 12.Video camera 5 is installed to level on trimming rack 4, adjusting pole height makes video camera 5 height higher than horizontal articles holding table 10-30cm, to the requirement of height, should meet the image that there is no other foreign material in adjustment video camera 5 alignment lens minute surface group 8 rear adjusting focal lengths can make video camera 5 just can photograph 4 imagings and rubbles itself of minute surface group medium stone and make picture as far as possible.With data line 3, video camera 5 is connected with computing machine 2, then makes a video recording.Thereby the set-point in the time of all standard component will being placed on to this batch of rubble shooting after the geometric properties image information that gathers a collection of rubble to be measured is taken and is demarcated, and carry out reconstructing three-dimensional model and obtain its volume, the ratio of the true volume of standard component and its modeling gained volume is made as scale-up factor, by the model volume of this batch of rubble to be measured of this scale-up factor correction, physical dimension that just can rediscover.Then shooting gained graphic program is carried out to computing, obtain output file and comprise its three-dimensional model file and its data file of all putting, can export every geometric parameter according to specific requirement.
Rubble geometric properties acquisition system by image-pickup method is:
As shown in Figure 2 and Figure 3, the stone of S for taking, M1 is No. 1 mirror in minute surface group, and M2 is No. 2 mirrors, and M1 ' and M2 ' are respectively how much extended lines of M1 and M2, S1 is the reflection image of S in No. 1 mirror, S2 is the reflection image of S in No. 2 mirrors, and S12 is the reflection image of S1 in No. 2 mirrors, and S21 is the reflection image of S2 in No. 1 mirror, M12 is No. 1 mirror base reflection image in No. 2 mirrors, and M21 is No. 2 mirror bases reflection image in No. 1 mirror.In Fig. 2, be the floor map of optical path geometric relationship, wherein by S to S1, S to S2, S1 represents to the line S21 the path that its light passes through to S12, S2.Fig. 3 is the schematic diagram of mirror-reflection image stereoeffect, represented when video camera oliquely downward to rubble to be measured and 4 mirrors thereof in the effect of reflection image while taking.
4 reflection images using 5 pairs of rubbles 6 to be measured of video camera and form in minute surface group 8 make a video recordings to form after an image simultaneously and gained image is entered to the program that employing in computing machine 2 writes based on Matlab and C++ programming language by data line 3 transmission are carried out image processing, and its process is:
1) by picture format change by take a picture and transfer gray level image to;
2) thus the image that gained gray level image carries out threshold filtering is cut apart and is obtained rubble contour pattern;
3) gained profile diagram be converted into bianry image and calculate 5 outline lines of rubble image;
4) thus by the geometric relationship between rubble contour images, following the inverse operation of core line principle obtains the shooting angle of 5 views and calculates the position that focal length inverse operation obtains shooting point;
5) a plurality of outline lines are carried out to backprojection operation in shooting point separately forms a plurality of cones and by program, calculates the point set in the cross profile of back projection in three dimensions;
6) according to this point set, adopt matching algorithm the point on adjacent three-dimensional planar between two to be connected to the surface of reconstruction of objects, by this process, rubble to be measured can be carried out by computing machine 2, being exported after reconstructing three-dimensional model.
Claims (2)
1. the acquisition method of a rubble geometric properties acquisition system, this system is that horizontal object disposing platform (1) is installed on one end adjutage of the tripod with adjutage (11), with installation level on the other end adjutage of the tripod (11) of adjutage to trimming rack (4), level is to the upper video camera (5) of installing of trimming rack (4), on horizontal object disposing platform (1), lay fixed support (13), fixed support (13) is together with minute surface group (8) at right angle setting being comprised of two minute surfaces, between two level crossings of minute surface group, adopt hinging manner to connect, rubble to be measured (6) is placed on the horizontal object disposing platform (1) of distance two minute surface 5-10cm on two Mirror Symmetry axles, LED light source (9) is installed directly over rubble to be measured (6), video camera (5) is connected with computing machine (2) by data line (3), it is characterized in that, the acquisition method of this system is:
1) utilize mirror-reflection image-forming principle, two level crossings of use minute surface group (8) obtain the image of a plurality of of rubble to be measured (6);
2) use video camera (5) that rubble to be measured (6) and four reflection images in minute surface thereof are taken in same photo;
3) photo is imported to computing machine (2) by data line (3);
4) thus the pre-service, the image that in computing machine, utilize image processing program to complete successively image are cut apart, the three-dimensional reconstruction based on outline line obtains three-dimensional model.
2. according to claim
1described a kind of rubble geometric properties acquisition method, is characterized in that: described three-dimensional model obtains the image information of five different angles of same rubble on same photo.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210573962.7A CN103063134B (en) | 2012-12-26 | 2012-12-26 | Gravel geometric feature acquisition system and acquisition method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210573962.7A CN103063134B (en) | 2012-12-26 | 2012-12-26 | Gravel geometric feature acquisition system and acquisition method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103063134A CN103063134A (en) | 2013-04-24 |
| CN103063134B true CN103063134B (en) | 2014-07-23 |
Family
ID=48105865
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201210573962.7A Active CN103063134B (en) | 2012-12-26 | 2012-12-26 | Gravel geometric feature acquisition system and acquisition method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103063134B (en) |
Families Citing this family (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103868828B (en) * | 2014-04-01 | 2016-08-17 | 深圳市芯通信息科技有限公司 | A kind of dust investigating based on mobile terminal |
| CN104296679A (en) * | 2014-09-30 | 2015-01-21 | 唐春晓 | Mirror image type three-dimensional information acquisition device and method |
| CN105157565B (en) * | 2015-05-07 | 2018-02-27 | 徐州工程学院 | It is not easy to contact object volume measuring instrument |
| CN106596361A (en) * | 2016-12-30 | 2017-04-26 | 中国地质科学院探矿工艺研究所 | System and method for rapidly determining particle size of field deposit |
| CN107820568A (en) * | 2016-12-30 | 2018-03-20 | 深圳配天智能技术研究院有限公司 | A kind of visible detection method and system |
| CN108663333A (en) * | 2017-03-27 | 2018-10-16 | 青岛海尔智能技术研发有限公司 | High light spectrum image-forming component and refrigerator for detecting food in refrigerator |
| CN107246841A (en) * | 2017-05-27 | 2017-10-13 | 武汉理工大学 | A kind of multiple views grouping system device of auto parts and components |
| CN109470141B (en) * | 2018-11-17 | 2021-03-16 | 先临三维科技股份有限公司 | Scanning system and method, scanning platform, computer device and readable storage medium |
| CN112304222B (en) * | 2019-12-12 | 2022-04-08 | 天目爱视（北京）科技有限公司 | Background board synchronous revolution's 3D information acquisition equipment |
| CN112986069B (en) * | 2021-02-26 | 2023-01-17 | 中国铁道科学研究院集团有限公司铁道建筑研究所 | Degradation index analyzer for ballast particles |
| CN112798478B (en) * | 2021-03-09 | 2024-05-24 | 新疆八一钢铁股份有限公司 | Grain size testing device for metal material detection |
| CN113177949B (en) * | 2021-04-16 | 2023-09-01 | 中南大学 | Large-size rock particle feature recognition method and device |
| CN114706259A (en) * | 2022-04-24 | 2022-07-05 | 弘新医疗设备(北京)有限公司 | Multispectral device of shooing of psoriasis |
| CN115435689A (en) * | 2022-08-15 | 2022-12-06 | 北京旷视机器人技术有限公司 | Counterweight method, counterweight system, electronic equipment and medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2589935Y (en) * | 2002-12-27 | 2003-12-03 | 西安交通大学 | Portable grating projection three-dimensional profile measuring instrument |
| DE102008024559A1 (en) * | 2008-05-21 | 2009-11-26 | Technische Universität Braunschweig Carolo-Wilhelmina | Three dimensional geometry recording device has light source for emitting light in light level and camera arranged externally to light level |
| CN102401637A (en) * | 2010-09-09 | 2012-04-04 | 松下电器产业株式会社 | Three-dimensional shape measuring device |
| CN203100677U (en) * | 2012-12-26 | 2013-07-31 | 浙江大学 | Gravel geometric feature acquisition system |
-
2012
- 2012-12-26 CN CN201210573962.7A patent/CN103063134B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2589935Y (en) * | 2002-12-27 | 2003-12-03 | 西安交通大学 | Portable grating projection three-dimensional profile measuring instrument |
| DE102008024559A1 (en) * | 2008-05-21 | 2009-11-26 | Technische Universität Braunschweig Carolo-Wilhelmina | Three dimensional geometry recording device has light source for emitting light in light level and camera arranged externally to light level |
| CN102401637A (en) * | 2010-09-09 | 2012-04-04 | 松下电器产业株式会社 | Three-dimensional shape measuring device |
| CN203100677U (en) * | 2012-12-26 | 2013-07-31 | 浙江大学 | Gravel geometric feature acquisition system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103063134A (en) | 2013-04-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103063134B (en) | Gravel geometric feature acquisition system and acquisition method | |
| CN203100677U (en) | Gravel geometric feature acquisition system | |
| Paixão et al. | Photogrammetry for digital reconstruction of railway ballast particles–A cost-efficient method | |
| Ouyang et al. | Pavement cracking measurements using 3D laser-scan images | |
| CN103047942B (en) | Visual acquisition system and method for geometrical characteristics of graded crushed rocks of railway and road beds | |
| CN102661736B (en) | Highway reorganization and expansion surveying method | |
| CN109632822A (en) | A kind of quasi-static high-precision road surface breakage intelligent identification device and its method | |
| Wang | Automated survey of pavement distress based on 2D and 3D laser images | |
| CN101929943A (en) | Digital imaging acquisition system for aggregate grading detection and acquisition method thereof | |
| CN105510350A (en) | Tunnel surface image acquisition device and tunnel surface detection equipment | |
| CN202350749U (en) | Measuring system for deformation characteristic of soil body | |
| CN104313986A (en) | Pavement roughness detection system and method | |
| WO2023280300A1 (en) | Rockfill particle size identification and monitoring apparatus and method based on three-dimensional reconstruction of camera group | |
| WO2022166232A1 (en) | Rock identification method, system and apparatus, terminal, and readable storage medium | |
| CN102735186A (en) | Device and method for acquiring three-dimensional structure of road surface by utilizing digital image | |
| CN110006793B (en) | Testing device and method for researching motion characteristics of particle materials under vibration load | |
| WO2019195954A1 (en) | Landform observation apparatus based on mechanical fine adjustment of dual-host | |
| CN203117076U (en) | Real-time data acquisition system for three-dimensional detection of aggregate in production field | |
| Liu et al. | Evaluating angularity of coarse aggregates using the virtual cutting method based on 3D point cloud images | |
| CN203100694U (en) | Visual acquisition system for geometrical characteristics of railway and highway bed graded broken stone | |
| CN103149131B (en) | Production scene gathers materials the real-time data acquisition method of three-dimensional values and acquisition system | |
| Tian et al. | Pavement macrotexture determination using multi-view smartphone images | |
| CN111455791B (en) | Control method of milling machine macro flatness control device | |
| WO2024152526A1 (en) | Pavement texture uniformity evaluation method based on three-dimensional feature distribution | |
| CN107599413A (en) | A kind of boolean operation method of FDM 3 D-printings vertical support model |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |