CN107727659B - The differentiating method of the cutting of road face and slab seam - Google Patents
The differentiating method of the cutting of road face and slab seam Download PDFInfo
- Publication number
- CN107727659B CN107727659B CN201710877672.4A CN201710877672A CN107727659B CN 107727659 B CN107727659 B CN 107727659B CN 201710877672 A CN201710877672 A CN 201710877672A CN 107727659 B CN107727659 B CN 107727659B
- Authority
- CN
- China
- Prior art keywords
- slab
- road face
- seam
- cutting
- rabbet joint
- 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
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
Abstract
The invention discloses the differentiating methods of a kind of cutting of road face and slab seam, the position of first slab seam is automatically positioned according to the groove dimensions of calculating, utilize slab designing length and slab physical length allowable error range, estimate the range of next slab seaming position, according to the cutting number recognized in the range of the slab seaming position estimated, next slab seaming position is determined.The present invention can correctly distinguish cutting and slab seam, avoid the problem that can't detect slab seam because of slab seam deposit using road face data texturing.
Description
Technical field
The present invention relates to road safety detection technique fields, and in particular to the differentiation side of a kind of cutting of road face and slab seam
Method.
Background technique
The important indicator that airfield runway cutting is evaluated as airfield safety, have very important theoretical research and
Practical value.
Currently, the country is in the starting stage in terms of the research of airfield runway groove dimensions, lack corresponding cutting identification
And assessment technique.Although the preliminary achievement that foreign countries have obtained in terms of data acquisition equipment and analysis processing, is actually being answered
There are still some limitations in, and grinding for airfield runway cutting automatic identification algorithm and safety evaluatio both at home and abroad
The deficiency studied carefully still lacks the road face cutting that effective algorithm automatic identification is shallower or has been worn at present.
The country also lacks the correlation of groove dimensions other than the safety research of Taiwan organic field road face groove dimensions interiorly
Identification, measurement and assessment technique.Usual way is that every 6-8 has regularly been polished on airfield runway concrete road surface centainly
The cutting that size requires, to guarantee to skid when runway ponding.Obviously the detection that this conventional way can not be scientific
The security performance of runway has buried hidden danger for potential aircraft accident.
It in fact include that the practical cutting in face and slab connect when identifying cutting due to the presence of airfield runway slab seam
Seam.Although groove dimensions can be used to distinguish slab seam and the cutting of road face, the use premise of this method is that slab seam is wanted
It is obviously wider than the cutting of road face, deep.However in practical applications, most of slab seam may be sunk by rubber for tire, road surface
Product object and loose rubble are filled, therefore are difficult to identify or distinguish the slab seam with features above.In addition, with artificial
Extensive use of the filler material in slab seam also increases the differentiation difficulty of slab seam Yu the cutting of road face, utilizes acquisition
Road face data texturing is possible to can't detect slab seam, and then cannot accurately distinguish each slab.When cutting safety
Evaluation is when being carried out using slab as unit, correctly to distinguish cutting and slab seam is commented by the cutting safety of unit of slab
Valence has extremely important effect.
Summary of the invention
In view of this, the present invention provides the differentiating method of a kind of cutting of road face Yu slab seam, cutting can be effectively distinguished
With slab seam, and then cutting performance on different slabs is determined.
To achieve the above object, the technical scheme is that
A kind of differentiating method of road face cutting and slab seam, comprising the following steps:
Step S1: the road 3D face cutting texture image is obtained using 3D technique of laser imaging；
Step S2: image and signal processing technology identification cutting position, estimation groove dimensions are utilized；
Step S3: according to the spacing or depth of cutting, the position of first slab seam is positioned；
Step S4: slab designing length and slab physical length allowable error range are utilized, next slab seam is estimated
The range of position；
Step S5: according to the cutting number recognized in the range of the slab seaming position estimated, next plate is determined
Base seaming position；
Step S6: repeating step S4 to S5, until terminating.
Further, in the step S5, when the cutting number recognized=0, the specific location of next slab seam
It is calculated by the sum of current slab seaming position and slab designing length；When the cutting number recognized=1, next slab is connect
The specific location of seam is the cutting position recognized；When the cutting number recognized > 1, the specific position of next slab seam
It is set to the cutting position of maximum cutting spacing or the cutting position closest to slab designing length.
Compared with prior art, the present invention has the utility model has the advantages that according to slab designing length, and slab physical length allows to miss
Difference and cutting spacing, accurately distinguish cutting and slab seam, avoid using road face data texturing because of slab seam deposit and
The problem of can't detect slab seam has extremely important effect to by the cutting safety evaluatio of unit of slab.
Detailed description of the invention
Fig. 1 is the differentiating method flow chart of road face of the present invention cutting Yu slab seam.
Specific embodiment
The present invention will be further described with reference to the accompanying drawings and embodiments.
As shown in Figure 1, the differentiating method of a kind of cutting of road face and slab seam, comprising the following steps:
Step S1: the road 3D face cutting texture image is obtained using 3D technique of laser imaging；
Step S2: image and signal processing technology identification cutting position, estimation groove dimensions are utilized；
Step S3: according to the spacing or depth of cutting, positioning the position of first slab seam, in order to guarantee first plate
The accuracy of base seaming position can also determine its position with human assistance；
Step S4: slab designing length and slab physical length allowable error range are utilized, next slab seam is estimated
The range of position；
Step S5: according to the cutting number recognized in the range of the slab seaming position estimated, next plate is determined
Base seaming position；
When the cutting number recognized=0, the specific location of next slab seam is by current slab seaming position and plate
The sum of base design length calculates；When the cutting number recognized=1, the specific location of next slab seam is to recognize
Cutting position；When the cutting number recognized > 1, the specific location of next slab seam is the quarter for having maximum cutting spacing
Groove location or cutting position closest to slab designing length；
Step S6: repeating step S4 to S5, until terminating.
Claims (1)
1. the differentiating method of a kind of cutting of road face and slab seam, which comprises the following steps:
Step S1: the road 3D face line of rabbet joint texture image is obtained using 3D technique of laser imaging；
Step S2: image and signal processing technology identification road face line of rabbet joint position, estimation road face line of rabbet joint size are utilized；
Step S3: according to the spacing or depth of the road face line of rabbet joint, the position of first slab seam is positioned；
Step S4: slab designing length and slab physical length allowable error range are utilized, next slab seaming position is estimated
Range；
Step S5: according to the road face line of rabbet joint number recognized in the range of the slab seaming position estimated, next plate is determined
Base seaming position: when the road face line of rabbet joint number recognized=0, the specific location of next slab seam is by current slab seam
The sum of position and slab designing length calculate；When the road face line of rabbet joint number recognized=1, the specific position of next slab seam
Set the line of rabbet joint position recognized；When the road face line of rabbet joint number recognized > 1, the specific location of next slab seam is to have
The road face line of rabbet joint position of maximum spacing or road face line of rabbet joint position closest to slab designing length；
Step S6: repeating step S4 to S5, until terminating.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710877672.4A CN107727659B (en) | 2017-09-26 | 2017-09-26 | The differentiating method of the cutting of road face and slab seam |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710877672.4A CN107727659B (en) | 2017-09-26 | 2017-09-26 | The differentiating method of the cutting of road face and slab seam |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107727659A CN107727659A (en) | 2018-02-23 |
| CN107727659B true CN107727659B (en) | 2019-07-09 |
Family
ID=61207918
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710877672.4A Active CN107727659B (en) | 2017-09-26 | 2017-09-26 | The differentiating method of the cutting of road face and slab seam |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107727659B (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6705797B1 (en) * | 1999-04-07 | 2004-03-16 | Nihon Kogyo Co., Ltd. | Paving block and its installation method |
| CN101814138A (en) * | 2010-04-09 | 2010-08-25 | 同济大学 | Method for identifying and classifying types of damage of sealants of cement concrete pavement based on images |
| CN101845788A (en) * | 2010-04-09 | 2010-09-29 | 同济大学 | Cement concrete road surface dislocation detection device and method based on structured light vision |
-
2017
- 2017-09-26 CN CN201710877672.4A patent/CN107727659B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6705797B1 (en) * | 1999-04-07 | 2004-03-16 | Nihon Kogyo Co., Ltd. | Paving block and its installation method |
| CN101814138A (en) * | 2010-04-09 | 2010-08-25 | 同济大学 | Method for identifying and classifying types of damage of sealants of cement concrete pavement based on images |
| CN101845788A (en) * | 2010-04-09 | 2010-09-29 | 同济大学 | Cement concrete road surface dislocation detection device and method based on structured light vision |
Non-Patent Citations (2)
| Title |
|---|
| Automatic Groove Measurement and Evaluation with High Resolution Laser Profiling Data;Lin Li等;《sensors》;20180831;全文 |
| 一种水泥混凝土路面接缝图像识别定位方法;英红;《道路工程》;20090430;全文 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107727659A (en) | 2018-02-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108731640A (en) | Metro Clearance detection method based on point cloud data and detecting system | |
| CN105426587B (en) | One kind completing pavement behavior acquisition and monitoring method based on smart mobile phone | |
| CN104359403A (en) | Plane part size measurement method based on sub-pixel edge algorithm | |
| CN102494733A (en) | Water level monitoring system based on image processing and method | |
| CN103675920B (en) | Nondestructive test method for depth and horizontal position of hidden crack of road base | |
| CN105865344A (en) | Workpiece dimension measuring method and device based on machine vision | |
| CN106969749A (en) | A kind of detection method of deformation of cross section of subway tunnel | |
| Mathavan et al. | Pavement raveling detection and measurement from synchronized intensity and range images | |
| CN102305795A (en) | Method for positioning tiny crack on surface of concrete | |
| CN107478176A (en) | A kind of pantograph loss detection method and system | |
| CN106770360A (en) | A kind of concrete work method for measuring stress | |
| CN103632376A (en) | Method for suppressing partial occlusion of vehicles by aid of double-level frames | |
| CN105445361A (en) | MFL (magnetic flux leakage) testing defect three-dimensional imaging method based on magnetic charge distribution reconstruction algorithm | |
| He et al. | Robust laser stripe extraction for 3D measurement of complex objects | |
| Liu et al. | Concrete surface damage volume measurement based on three-dimensional reconstruction by smartphones | |
| CN107727659B (en) | The differentiating method of the cutting of road face and slab seam | |
| CN109541695B (en) | Method for rapidly imaging visual resistivity of remote region of electric field gradient of artificial field source frequency domain | |
| Blakely et al. | Tilt derivative made easy | |
| CN103810489A (en) | LiDAR point cloud data overwater bridge extraction method based on irregular triangulated network | |
| CN111455787A (en) | Pavement detection system based on pavement three-dimensional digitization | |
| Rufei et al. | Research on a pavement pothole extraction method based on vehicle-borne continuous laser scanning point cloud | |
| CN103744119B (en) | The three-dimensional feature detection method in a kind of building body crack and system | |
| CN106023175A (en) | Method for discriminating thermal wakes of underwater ship on the basis of stereoscopic mode | |
| CN109506569A (en) | A method of crystallization process square block and column crystal three-dimensional dimension are monitored based on binocular vision | |
| Yuan et al. | A laser-based bottom profiler system for measuring net sediment transport rate in an oscillatory water tunnel |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |