CN106872486A - A kind of large volume dry concrete wall detection method of surface flaw - Google Patents
A kind of large volume dry concrete wall detection method of surface flaw Download PDFInfo
- Publication number
- CN106872486A CN106872486A CN201710197385.9A CN201710197385A CN106872486A CN 106872486 A CN106872486 A CN 106872486A CN 201710197385 A CN201710197385 A CN 201710197385A CN 106872486 A CN106872486 A CN 106872486A
- Authority
- CN
- China
- Prior art keywords
- defect
- photographing device
- detection method
- large volume
- concrete wall
- 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.)
- Pending
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
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2201/00—Features of devices classified in G01N21/00
- G01N2201/06—Illumination; Optics
- G01N2201/061—Sources
- G01N2201/06113—Coherent sources; lasers
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2201/00—Features of devices classified in G01N21/00
- G01N2201/10—Scanning
- G01N2201/102—Video camera
Abstract
The invention discloses a kind of large volume dry concrete wall detection method of surface flaw, solve large volume dry concrete wall surface defects detection risk high, operating efficiency is low, the big problem of data error control difficulty, accurate defects detection result can not only be obtained, and be structure safety, sealing propertytest analysis etc. provides reliable, complete data foundation, the detection method is merely with to photographing device, defect image processing equipment and the total powerstation with non-prism measurement function, it is low with implementation cost, it is easily achieved, simple operation, safely and efficiently advantage, disclosure satisfy that the market demand for carrying out this work, it is adapted to promote the use of.
Description
Technical field
The invention belongs to build detection technique field, specifically related to a kind of large volume dry concrete wall surface defects detection
Method.
Background technology
Nuclear island building of nuclear power plant, LNG LNG tanks etc. are very high large-scale to safety of structure and sealing requirements
Clear-water concrete structure workshop, due to many-sided reason such as being influenceed by material, construction, geographical environment, its body structure surface occurs
The defects such as crack, voids and pits, hole., it is necessary to be received in the finite time of regulation when doing safety, analysis on sealing to structure
Collect accurate, complete visual defects data, but traditional large volume dry concrete wall surface defects detection is mainly used and manually connect
The method of touch range estimation collection defective data, need to use hanging basket, set up scaffold etc. as auxiliary construction platform, and risk is high, work
Work amount is big, and operating efficiency is low, and artificial gathered data error is difficult to control to.
The content of the invention
The deficiency of existing conventional art, technical purpose of the invention is to provide one kind by photographing device, safe and accurate,
Detection method that is convenient, efficiently gathering large volume dry concrete wall surface defect information.
The scheme for realizing above-mentioned technical purpose is：
A kind of large volume dry concrete wall detection method of surface flaw, it is characterised in that comprise the following steps：
（One）The sufficient amount of intervisibility point for covering all regions of tested surface of wall of setting is used as measurement website；
（Two）Photographing device, defect image processing equipment are set up in the measurement website and the whole station of function is measured with non-prism
Instrument；
（Three）Measured wall is scanned by regulation path sectional using photographing device, the regulation path is in wave shape, the waveform
Path is made up of the reciprocal single file section linking in multiple interval, and adjacent sections connect at crest or trough, and adjacent sections office
Portion overlaps, and scan blind spot is reduced or avoided；
（Four）When finding defect in scanning process, control photographing device carries out image record to defect；
（Five）Photographing device is controlled by the image transmitting comprising the defect to the defect image processing equipment, by defect map
As processing equipment shows the defect, commander's total powerstation positioning laser spots reach the measurement of coordinates position specified；
（Six）The distance between coordinate parameters, defect and the photographing device of this defect position parameter is gathered using total powerstation,
And the parameter of collection is transferred to the defect image processing equipment；
（Seven）After defect image processing equipment receives the parameter of total powerstation collection, to the image beginning comprising the defect
Reason, with reference to above-mentioned parameter, draws the geometric parameter data of the defect.
On the basis of such scheme, further improve or preferred scheme also includes：
The photographing device is provided with generating laser, and the detection method includes making generating laser synchronous with photographing device camera lens
Rotate, when scanning discovery defect, control the generating laser that laser facula is formed around defective locations or defect, guide
The step of total powerstation operating personnel find defective locations.
The photographing device is provided with electric three-dimensional head, and the detection method includes：
When finding defect in scanning process, the step of record the electric three-dimensional head angle parameter；
Photographing device is gone back into scanning to the attitude of given defect according to the angle parameter, defect image secondary acquisition is carried out
Step.
Overlapping area between adjacent scanning section is set to account for the 5%~10% of the scanning section gross area.
Beneficial effect：
The present invention solves that large volume dry concrete wall surface defects detection risk is high, operating efficiency is low, data error control
The big problem of difficulty, detection method can not only obtain accurate defects detection result, be structure safety, sealing
Detection and analysis provides reliable, complete data foundation, also with being easily achieved, simple operation, safely and efficiently advantage, Neng Gouman
Foot carries out the market demand of this work, is adapted to promote.
Brief description of the drawings
Fig. 1 is the schematic diagram of scanning pattern；
Fig. 2 is the schematic diagram of testing equipment；
Fig. 3 is the structural representation of photographing device.
Specific embodiment
In order to illustrate technical scheme and operation principle, the present invention is done with specific embodiment below in conjunction with the accompanying drawings
It is further to introduce.
A kind of large volume dry concrete wall detection method of surface flaw, comprises the following steps：
（One）Design feature, architectural environment, geographical position and measurement request according to large volume dry concrete wall to be measured, if
The fixed sufficient amount of intervisibility point for covering all regions in the surface of tested wall 5 is used as measurement website；
（Two）Photographing device 1, defect image processing equipment 3 are set up in the measurement website and with the complete of non-prism measurement function
Stand instrument 2；
（Three）Measured wall 5 is scanned by the regulation sectional of path 4 using photographing device 1, the regulation path 4 is in wave shape, such as
Shown in Fig. 1, the waveform is the rule shear wave for fluctuating up and down, is made up of the reciprocal single file section linking in multiple interval, adjacent region
Section connects at crest or trough, and in scanning process, makes adjacent sections locally overlapping, to avoid scan blind spot, it is ensured that tested
Wall defect information collects complete, and its overlapping area typically constitutes from the 5%~10% of the scanning section gross area；
（Four）The Image Real-time Transmission that photographing device 1 is gathered is processed to the defect image processing equipment 3 in defect image
Shown in equipment 3, in scanning process when operating personnel have found defect, control photographing device 1 carries out image record to defect,
Take pictures, or can also by programming Control photographing device 1 scanning to defect when automatic recording chart picture；
（Five）Photographing device 1 transmits to the defect image processing equipment 3, operating personnel the image photograph comprising the defect
According to the display of defect image processing equipment 3, commander's positioning laser spots of total powerstation 2 reach suitable specified coordinate measurement position；
（Six）The distance between coordinate parameters, defect and the photographing device of this defect position parameter is gathered using total powerstation 2,
And the parameter of collection is transferred to defect image processing equipment 3；
（Seven）After defect image processing equipment 3 receives the parameter of the collection of total powerstation 2, to the transmission of photographing device 1 comprising defect
Image photograph start to process, with reference to the pixel and shooting focal length of this defect image photo, and the collection of total powerstation 1 parameter,
Calculate the geometric parameter data such as length, width, surface area of the defect.
In the present embodiment：
The defect image processing equipment 3 is the computer for being provided with image processing software, the picture of defect photo that can be by shooting
Element, the distance between focal length, defect and photographing device calculate the air line distance between any two points in picture, are derived from defect
The geometric parameter data such as width, length, surface area.
The photographing device includes that focal length camera 1-1, high power coaxial laser transmitter 1-2 and control focal length camera are rotated
Electric three-dimensional head 1-3.The focal length camera 1-1 possesses image capture function, and the defect photo precision of shooting will reach mesh
Inspection surveys the measurement standard that defect characteristic is clearly apparent in the range of 60cm.When finding defect in scanning process, can control and focal length
The generating laser 1-2 that camera 1-1 is rotated coaxially forms laser facula, guiding total powerstation operation around defective locations or defect
Human users' total powerstation positions laser spots, the position where quickly finding defect.Electric three-dimensional head 1-3 can multidirectional be in 360 degree
Rotate freely, drive focal length camera 1-1 to rotate intake defect image information.In order to improve the accurate reliability of gathered data, can
Secondary defect IMAQ is carried out, and in order to improve operating efficiency, electric three-dimensional head 1-3 notes can be controlled in scanning process
The rotational angle parameter of the multiple defect camera sites of record, when the later stage need to check detection data, control long-focus photographing device 1 goes back to
The attitude of defect is photographed, secondary acquisition defect image data are directly carried out, the process of scanning is saved.
By repeatedly practising proof, the present embodiment detection method can efficiently solve large area fair-faced concrete outer wall defect
The problem that data acquisition risk is high, operating efficiency is low, with following remarkable advantage：
1）The defect image that collects is processed using defect image processing equipment, it is to avoid artificial acquisition process data produce error
Uncertainty, gathered data is accurate, reliable；
2）Autocratic photographing device has high power coaxial laser transmitter, and laser beam beats the laser formed in metope defective locations
Hot spot is easily observed, and may indicate that the total powerstation with non-prism function fast searches defect particular location, increases substantially operation
Efficiency；
3）Autocratic photographing device has the electric three-dimensional head of recordable rotational angle, can drive focal length camera horizontally rotate and
Vertical rotating, meets multi-angle image collection construction demand, and with reference to the step of angle acquisition, control photographing device is recorded at each
Angle position rotate switching automatically, be easy to secondary acquisition defect image data, improve operating efficiency；
4）Large volume dry concrete wall defective data is gathered using the method, defect can be synchronously obtained and is clearly schemed during field operation
As information, location coordinate information and geometric data information, operating efficiency is high, and data analysis is accurate, efficient, it is to avoid because of later stage treatment
Data cause immesurable data analysis problems not in time.
General principle of the invention, principal character and advantages of the present invention has been shown and described above.The technology of the industry
Personnel it should be appreciated that the present invention is not limited to the above embodiments, simply explanation described in above-described embodiment and specification this
The principle of invention, without departing from the spirit and scope of the present invention, various changes and modifications of the present invention are possible, the present invention
Claimed scope is by appending claims, specification and its equivalent thereof.
Claims (4)
1. a kind of large volume dry concrete wall detection method of surface flaw, it is characterised in that comprise the following steps：
（One）The sufficient amount of intervisibility point for covering all regions of tested surface of wall of setting is used as measurement website；
（Two）Photographing device, defect image processing equipment are set up in the measurement website and the whole station of function is measured with non-prism
Instrument；
（Three）Measured wall is scanned by regulation path sectional using photographing device, the regulation path is in wave shape, the ripple
Shape path is made up of the reciprocal single file section linking in multiple interval, and adjacent sections connect at crest or trough, and adjacent sections
It is local overlapping, scan blind spot is reduced or avoided；
（Four）When finding defect in scanning process, control photographing device carries out image record to defect；
（Five）By the image transmitting comprising the defect to the defect image processing equipment, shown by defect image processing equipment
Show the defect, commander's total powerstation positioning laser spots reach the measurement of coordinates position specified；
（Six）The distance between coordinate parameters, defect and the photographing device of this defective locations parameter is gathered using total powerstation, and will
The parameter of collection is transferred to the defect image processing equipment；
（Seven）After defect image processing equipment receives the parameter of total powerstation collection, to the image beginning comprising the defect
Reason, with reference to above-mentioned parameter, draws the geometric parameter data of the defect.
2. a kind of large volume dry concrete wall detection method of surface flaw according to claim 1, it is characterised in that institute
State photographing device and be provided with generating laser, the detection method includes making synchronous with photographing device camera lens turn of the generating laser
It is dynamic, when scanning discovery defect, control the generating laser that laser facula is formed around defective locations or defect, guiding is complete
The step of instrument operating personnel that stand find defective locations.
3. a kind of large volume dry concrete wall detection method of surface flaw according to claim 1, it is characterised in that institute
State photographing device and be provided with electric three-dimensional head, the detection method includes：
When finding defect in scanning process, the step of record the electric three-dimensional head angle parameter；
Photographing device is gone back to the attitude for photographing defect according to the angle parameter, the step of defect image secondary acquisition is carried out
Suddenly.
4. a kind of large volume dry concrete wall detection method of surface flaw according to claim 1, it is characterised in that phase
Overlapping area between neighbour's scanning section accounts for the 5%~10% of the scanning section gross area.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710197385.9A CN106872486A (en) | 2017-03-29 | 2017-03-29 | A kind of large volume dry concrete wall detection method of surface flaw |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710197385.9A CN106872486A (en) | 2017-03-29 | 2017-03-29 | A kind of large volume dry concrete wall detection method of surface flaw |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106872486A true CN106872486A (en) | 2017-06-20 |
Family
ID=59159548
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710197385.9A Pending CN106872486A (en) | 2017-03-29 | 2017-03-29 | A kind of large volume dry concrete wall detection method of surface flaw |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106872486A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109490331A (en) * | 2017-09-11 | 2019-03-19 | 波音公司 | High-velocity duct checking system |
| CN110567989A (en) * | 2019-09-04 | 2019-12-13 | 北京信息科技大学 | shielding glass defect detection method |
| CN112197746A (en) * | 2020-09-16 | 2021-01-08 | 上海建工四建集团有限公司 | Intelligent detection device and detection method for weathering degree of wall surface of brick wall |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102866162A (en) * | 2012-09-05 | 2013-01-09 | 中冶建筑研究总院有限公司 | Noncontact-type large-sized building concrete defect detection device |
| CN203069518U (en) * | 2012-09-05 | 2013-07-17 | 中冶建筑研究总院有限公司 | Non-contact concrete defect detecting device for large buildings and structures |
| CN204405556U (en) * | 2014-12-23 | 2015-06-17 | 桂林电子科技大学 | A kind of glue into concrete beam cracks pick-up unit based on Digital Image Processing |
| CN105784710A (en) * | 2014-12-23 | 2016-07-20 | 桂林电子科技大学 | Concrete bridge crack detection device based on digital image processing |
| CN106018411A (en) * | 2016-05-09 | 2016-10-12 | 广州市九州旗建筑科技有限公司 | Crack width measuring and computing method and measuring device |
| CN106370670A (en) * | 2016-10-12 | 2017-02-01 | 上海建工集团股份有限公司 | 3D laser scanning based building prefabricated part quality detection system and method |
-
2017
- 2017-03-29 CN CN201710197385.9A patent/CN106872486A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102866162A (en) * | 2012-09-05 | 2013-01-09 | 中冶建筑研究总院有限公司 | Noncontact-type large-sized building concrete defect detection device |
| CN203069518U (en) * | 2012-09-05 | 2013-07-17 | 中冶建筑研究总院有限公司 | Non-contact concrete defect detecting device for large buildings and structures |
| CN204405556U (en) * | 2014-12-23 | 2015-06-17 | 桂林电子科技大学 | A kind of glue into concrete beam cracks pick-up unit based on Digital Image Processing |
| CN105784710A (en) * | 2014-12-23 | 2016-07-20 | 桂林电子科技大学 | Concrete bridge crack detection device based on digital image processing |
| CN106018411A (en) * | 2016-05-09 | 2016-10-12 | 广州市九州旗建筑科技有限公司 | Crack width measuring and computing method and measuring device |
| CN106370670A (en) * | 2016-10-12 | 2017-02-01 | 上海建工集团股份有限公司 | 3D laser scanning based building prefabricated part quality detection system and method |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109490331A (en) * | 2017-09-11 | 2019-03-19 | 波音公司 | High-velocity duct checking system |
| CN109490331B (en) * | 2017-09-11 | 2023-09-15 | 波音公司 | High-speed pipeline inspection system |
| CN110567989A (en) * | 2019-09-04 | 2019-12-13 | 北京信息科技大学 | shielding glass defect detection method |
| CN112197746A (en) * | 2020-09-16 | 2021-01-08 | 上海建工四建集团有限公司 | Intelligent detection device and detection method for weathering degree of wall surface of brick wall |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109632103A (en) | High vacant building Temperature Distribution and surface crack remote supervision system and monitoring method | |
| CN107421465B (en) | A kind of binocular vision joining method based on laser tracker | |
| EP1521056B1 (en) | Method and apparatus for internal feature reconstruction | |
| CN102135236B (en) | Automatic non-destructive testing method for internal wall of binocular vision pipeline | |
| CN102567983B (en) | Determining method for positions of monitored targets in instant infrared chart and application | |
| KR101171264B1 (en) | Apparatus for providing building structure information and displaying building structure using argumented reality and method for maintenance of building structure using the same | |
| JP3600230B2 (en) | Architectural and civil engineering structure measurement and analysis system | |
| CN106872486A (en) | A kind of large volume dry concrete wall detection method of surface flaw | |
| CN112540089B (en) | Application method of digital imaging system in concrete bridge crack detection and analysis | |
| CN103438864A (en) | Real-time digital geological record system for engineering side slope | |
| CN114119614B (en) | Method for remotely detecting cracks of building | |
| JP3514469B2 (en) | 3D object measurement system using laser | |
| CN112096454A (en) | Tunnel lining crack repairing device | |
| CN206635833U (en) | Detect imager in the hole of pile for prestressed pipe | |
| JP2004309491A (en) | Construction and civil engineering structure measurement/analysis system | |
| CN101206140A (en) | Method for automatic measurement of shaking amplitude of straddle-seat type single traffic rail beam | |
| CN106017423B (en) | Existing building curtain wall separates position detecting system and detection method | |
| CN108088846A (en) | Body surface flaw detection method and system | |
| CN105674904B (en) | A kind of through-flow gap of steam turbine detection method with intelligent assembling characteristics | |
| JP2005310044A (en) | Apparatus, method and program for data processing | |
| RU2454627C1 (en) | Apparatus for studying geometric defects of reservoirs using moire method | |
| CN116226965A (en) | Building waste estimation algorithm based on BIM | |
| CN109540036A (en) | A kind of pond column measuring system and measurement method based on BIM and three-dimensional laser scanner | |
| CN205898701U (en) | Existing building curtain detecting system | |
| CN108180864A (en) | A kind of method that slot type solar energy collectors face shape is measured based on catoptric imaging method |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170620 |