CN108596969A - A kind of steel bar stress spacing acceptance method - Google Patents
A kind of steel bar stress spacing acceptance method Download PDFInfo
- Publication number
- CN108596969A CN108596969A CN201810399207.9A CN201810399207A CN108596969A CN 108596969 A CN108596969 A CN 108596969A CN 201810399207 A CN201810399207 A CN 201810399207A CN 108596969 A CN108596969 A CN 108596969A
- Authority
- CN
- China
- Prior art keywords
- steel bar
- bar stress
- spacing
- framework
- steel
- 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.)
- Granted
Links
- 229910000831 Steel Inorganic materials 0.000 title claims abstract description 121
- 239000010959 steel Substances 0.000 title claims abstract description 121
- 238000000034 method Methods 0.000 title claims abstract description 23
- 230000002787 reinforcement Effects 0.000 claims abstract description 38
- 238000003384 imaging method Methods 0.000 claims abstract description 6
- 238000013461 design Methods 0.000 claims description 5
- 238000006243 chemical reaction Methods 0.000 claims description 4
- 230000003014 reinforcing effect Effects 0.000 description 10
- 238000005516 engineering process Methods 0.000 description 5
- 238000010276 construction Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 238000005259 measurement Methods 0.000 description 2
- 210000003205 muscle Anatomy 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 230000008676 import Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 210000002435 tendon Anatomy 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
- G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
- G06T2207/30136—Metal
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Economics (AREA)
- Health & Medical Sciences (AREA)
- Geometry (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Length Measuring Devices By Optical Means (AREA)
- Reinforcement Elements For Buildings (AREA)
Abstract
The invention discloses a kind of steel bar stress spacing acceptance methods, include the following steps：1) spacescan is carried out to steel bar stress by Hololens, to determine the full-size(d) of steel bar stress；2) imaging is scanned to steel bar stress, to obtain framework of steel reinforcement image；3) framework of steel reinforcement image is handled, to obtain the bianry image of framework of steel reinforcement；4) geometrical property for extracting the framework of steel reinforcement in bianry image, determines the position of framework of steel reinforcement, and the position of framework of steel reinforcement is marked；5) the image spacing of steel bar stress is calculated；6) the true spacing of steel bar stress is calculated；7) the true spacing of steel bar stress is verified.The steel bar stress spacing acceptance method can not only effectively improve and check and accept speed and check and accept efficiency, and high degree of automation, can greatly promote the accuracy of check and acceptance result.
Description
Technical field
The present invention relates to Construction of Civil Engineering information technology field, more particularly to a kind of steel bar stress spacing acceptance method.
Background technology
China's architectural engineering industry belongs to labor-intensive production, and the level of informatization is not high, in order to ensure construction
Construction quality, inspection of quality become most important link in construction process, are especially checked and accepted more to the spacing of steel bar stress
It is crucial.
Currently, it is that inspector is measured manually using ruler to be checked and accepted to the spacing of steel bar stress, and manual measurement is not only
Check and accept speed it is slow, check and accept efficiency it is low, and due to manually measure there are many subjective factors can cause check and accept there is error,
It causes acceptance quality unstable, leverages the accuracy of check and acceptance result.
Therefore, how a kind of steel bar stress spacing acceptance method is provided, can not only effectively improve and check and accept speed and examination
Efficiency, and high degree of automation, the accuracy that can greatly promote check and acceptance result are those skilled in the art's urgent need to resolve
Technical problem.
Invention content
In view of this, the purpose of the present invention is to provide a kind of steel bar stress spacing acceptance method, can not only effectively carry
Height checks and accepts speed and checks and accepts efficiency, and high degree of automation, can greatly promote the accuracy of check and acceptance result.
To achieve the above object, the present invention provides the following technical solutions：
A kind of steel bar stress spacing acceptance method, includes the following steps：
1) spacescan is carried out to steel bar stress by Hololens, with the full-size(d) of the determination steel bar stress；
2) imaging is scanned to the steel bar stress, to obtain framework of steel reinforcement image；
3) the framework of steel reinforcement image is handled, to obtain the bianry image of the framework of steel reinforcement；
4) geometrical property for extracting the framework of steel reinforcement in the bianry image, determines the position of the framework of steel reinforcement, and right
The position of the framework of steel reinforcement is marked；
5) the image spacing of the steel bar stress is calculated；
6) the true spacing of the steel bar stress is calculated；
7) the true spacing of the stress steel is verified.
Preferably, further include before the step 1), by the acceptance criteria data input of the steel bar stress to described
In Hololens.
Preferably, the acceptance criteria information include the steel bar stress line space design value and the steel bar stress between
Away from tolerance.
Preferably, further include that the check results of the steel bar stress are fed back after institute's step 7).
Preferably, in the step 3), the bianry image obtains by adjusting image rgb value and threshold value.
Preferably, the true spacing by the size conversion ratio after carrying out the spacescan in the step 1) into
Row calculates.
As can be seen from the above technical solutions, steel bar stress spacing acceptance method disclosed in this invention, including following step
Suddenly：1) spacescan is carried out to steel bar stress by Hololens, to determine the full-size(d) of steel bar stress；2) to steel bar stress
It is scanned imaging, to obtain framework of steel reinforcement image；3) framework of steel reinforcement image is handled, to obtain the two-value of framework of steel reinforcement
Image；4) geometrical property for extracting the framework of steel reinforcement in bianry image, determines the position of framework of steel reinforcement, and to the position of framework of steel reinforcement
It sets and is marked；5) the image spacing of steel bar stress is calculated；6) the true spacing of steel bar stress is calculated；7) right
The true spacing of steel bar stress is verified.The steel bar stress spacing acceptance method, can not only effectively improve check and accept speed and
Efficiency, and high degree of automation are checked and accepted, the accuracy of check and acceptance result can be greatly promoted.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, below to embodiment or existing
Attached drawing is briefly described needed in technology description, it is clear that, the accompanying drawings in the following description is only this hair
Bright embodiment for those of ordinary skill in the art without creative efforts, can also be according to carrying
The attached drawing of confession obtains other attached drawings.
Fig. 1 is the arrangement schematic diagram of the steel bar stress disclosed in the embodiment of the present invention；
Fig. 2 is the arrangement schematic diagram of the steel bar stress image measurement point disclosed in the embodiment of the present invention.
Fig. 3 is the acceptance process schematic diagram of the steel bar stress disclosed in the embodiment of the present invention.
Wherein, the title of each component is as follows：
1- steel bar stresses.
Specific implementation mode
In view of this, core of the invention is to provide a kind of steel bar stress spacing acceptance method, can not only effectively carry
Height checks and accepts speed and checks and accepts efficiency, and high degree of automation, can greatly promote the accuracy of check and acceptance result.
In order to enable those skilled in the art to better understand the solution of the present invention, with reference to the accompanying drawings and detailed description
The present invention is described in further detail.
It is to be understood that Hololens is the first holographic computer equipment not limited by cable of Microsoft, user can be allowed
It is interacted with digital content, and interactive with the hologram in true environment around.
Steel bar stress spacing acceptance method disclosed in the embodiment of the present invention, includes the following steps：
1) spacescan is carried out to steel bar stress 1 by Hololens, to determine the full-size(d) of steel bar stress 1, due to
Hololens has space reflection and depth camera technology so that Hololens can be calculated in space automatically between two points
Cursor alignment in Hololens is originated end reinforced location point and terminates end reinforced two positions of location point by actual distance
Point, is acted on by gesture, and Hololens is obtained automatically originates the position coordinates of end reinforced location point in space, such as Fig. 1 institutes
A points in showing；Hololens is obtained automatically terminates the position coordinates of end reinforced location point in space, as shown in Figure 1 in B
Point, to calculate the full-size(d) value D of steel bar stress 1.
2) imaging is scanned to steel bar stress 1, to obtain framework of steel reinforcement image, technical staff wears the stations Hololens and exists
The front of steel bar stress 1, by gesture input, instruction Hololens is total to two ends of steel bar stress 1 and middle part respectively
Three positions are scanned imaging, obtain three framework of steel reinforcement images, a as shown in Figure 1, b, tri- regions c, as three steel
Tendons skeleton image.
3) framework of steel reinforcement image is handled, to obtain the bianry image of framework of steel reinforcement, formed in step 2
In three framework of steel reinforcement images other than framework of steel reinforcement main body, also other pictorial elements, therefore, in this step,
For Hololens by splitting reinforcing bar main body from framework of steel reinforcement image after handling framework of steel reinforcement, Hololens will
Framework of steel reinforcement image imports in included software, and by adjusting the rgb value and threshold value of image, original color picture is converted to two
It is worth image so that reinforcing bar main body is split from framework of steel reinforcement image.
4) geometrical property for extracting the framework of steel reinforcement in bianry image, determines the position of framework of steel reinforcement, and to framework of steel reinforcement
Position be marked, Hololens extracts the geometrical property of the framework of steel reinforcement in bianry image, determines the position of reinforcing bar
It sets, size, one-dimensional coordinate system is established in reinforcing bar image upper edge steel bar arrangement direction, to having determined that the reinforcing bar of position divides from left to right
It is other that two end position points and medium position point are marked and recorded with the one-dimensional seat that three location points are established in this step successively
Mark the coordinate value fastened, respectively a1,a2...ai-1,ai；b1,b2...bi-1,bi；c1,c2...ci-1,ci, wherein aiAnd ciFor end
Portion position point coordinates value, biFor medium position coordinate value.
5) the image spacing of steel bar stress 1 is calculated, Hololens is according to the position point coordinates obtained in step 4)
Value, calculates separately 1 two end spacing of steel bar stress and middle part spacing in adjacent image, as shown in Fig. 2, i.e.：
6) the true spacing of steel bar stress 1 is calculated, Hololens is calculated according to the coordinate value obtained in step 5)
Image reinforcing bar overall size d=a6-a1, to calculate conversion proportion β=D/d between real space and virtual image, according to step 5)
In obtained reinforcing bar image distance combination conversion proportion β value calculate true bar spacing, i.e.,：
7) the true spacing of steel bar stress 1 is verified, selecting step 6)
In two adjacent reinforcing bars both ends and centre position three bar spacing calculated values, point
Not and the line space design value of steel bar stress 1 seeks difference, such as takes a3And a4Number reinforcing bar, then haveSteel bar stress spacing examination side disclosed in the embodiment of the present invention
Method can not only effectively improve and check and accept speed and check and accept efficiency, and high degree of automation, can greatly promote check and acceptance result
Accuracy.
Steel bar stress spacing acceptance method disclosed in the embodiment of the present invention further includes before step 1), by stress steel
In the acceptance criteria data input to Hololens of muscle 1, it should be noted that the acceptance criteria information of steel bar stress 1 is stress
The line space design value and bar spacing tolerance value of reinforcing bar 1.The step is before checking and accepting, by steel bar stress 1 on drawing
Line space design value and bar spacing tolerance value be logged among Hololens respectively, the spacing of wherein steel bar stress 1 is set
Evaluation is denoted as L, and the spacing tolerance of steel bar stress 1 is denoted as Δ L.
Steel bar stress spacing acceptance method disclosed in the embodiment of the present invention further includes after step 7), to stress steel
The check results of muscle 1 are fed back.According to the result of calculation in step (7), in conjunction with the distance values and steel bar stress of steel bar stress 1
1 spacing tolerance, then have：
WhenWhen Hololens prompt technical staff's bar spacing check and accept not
It is qualified；WhenWhen, 1 spacing of Hololens prompt technical staff steel bar stress is tested
Fold lattice；The spacing of other adjacent steel bar stresses 1 checks and accepts the same a of step3And a4Steel corrosion quantity step is identical.
Each embodiment is described by the way of progressive in this specification, the highlights of each of the examples are with other
The difference of embodiment, just to refer each other for identical similar portion between each embodiment.
The foregoing description of the disclosed embodiments enables those skilled in the art to implement or use the present invention.
Various modifications to these embodiments will be apparent to those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, of the invention
It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one
The widest range caused.
Claims (6)
1. a kind of steel bar stress spacing acceptance method, which is characterized in that include the following steps：
1) spacescan is carried out to steel bar stress (1) by Hololens, with the full-size(d) of the determination steel bar stress (1)；
2) imaging is scanned to the steel bar stress (1), to obtain framework of steel reinforcement image；
3) the framework of steel reinforcement image is handled, to obtain the bianry image of the framework of steel reinforcement；
4) geometrical property for extracting the framework of steel reinforcement in the bianry image, determines the position of the framework of steel reinforcement, and to described
The position of framework of steel reinforcement is marked；
5) the image spacing of the steel bar stress (1) is calculated；
6) the true spacing of the steel bar stress (1) is calculated；
7) the true spacing of the steel bar stress (1) is verified.
2. steel bar stress spacing acceptance method according to claim 1, which is characterized in that further include the step 1) it
Before, it will be in the acceptance criteria data input to the Hololens of the steel bar stress (1).
3. steel bar stress spacing acceptance method according to claim 2, which is characterized in that the acceptance criteria information includes
The line space design value of the steel bar stress (1) and the spacing tolerance of the steel bar stress (1).
4. steel bar stress spacing acceptance method according to claim 1, which is characterized in that further include institute's step 7) it
Afterwards, the check results of the steel bar stress (1) are fed back.
5. steel bar stress spacing acceptance method according to claim 1, which is characterized in that described in the step 3)
Bianry image obtains by adjusting image rgb value and threshold value.
6. steel bar stress spacing acceptance method according to claim 1, which is characterized in that the true spacing passes through described
The size conversion ratio after the spacescan is carried out in step 1) to be calculated.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810399207.9A CN108596969B (en) | 2018-04-28 | 2018-04-28 | Method for checking and accepting space between stressed steel bars |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810399207.9A CN108596969B (en) | 2018-04-28 | 2018-04-28 | Method for checking and accepting space between stressed steel bars |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108596969A true CN108596969A (en) | 2018-09-28 |
| CN108596969B CN108596969B (en) | 2020-06-19 |
Family
ID=63610652
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810399207.9A Active CN108596969B (en) | 2018-04-28 | 2018-04-28 | Method for checking and accepting space between stressed steel bars |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108596969B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109448044A (en) * | 2018-11-30 | 2019-03-08 | 重庆大学 | A kind of aided detection method and system for bar spacing in steel reinforcement cage |
| CN111705400A (en) * | 2020-06-30 | 2020-09-25 | 山东日发纺织机械有限公司 | Automatic drawing-in machine and control method for inserting reed knife into steel reed |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20110128096A (en) * | 2010-05-20 | 2011-11-28 | 성균관대학교산학협력단 | System and method for implementing augmented reality using building enviornment data |
| CN203069149U (en) * | 2013-02-06 | 2013-07-17 | 湖南大学 | Steel bar distance and size rapid identification system based on image processing technology |
| CN104094082A (en) * | 2012-01-13 | 2014-10-08 | 高通股份有限公司 | Virtual ruler |
| CN105180732A (en) * | 2015-07-24 | 2015-12-23 | 成都市计量检定测试院 | Steel band tape scale error measuring method |
| CN105639818A (en) * | 2016-04-11 | 2016-06-08 | 中国建筑东北设计研究院有限公司 | Intelligent safety helmet based on augmented reality, space scanning and gesture recognition technologies |
| CN106705837A (en) * | 2015-11-17 | 2017-05-24 | 华为技术有限公司 | Gesture-based object measurement method and device |
| CN106842219A (en) * | 2017-01-18 | 2017-06-13 | 北京商询科技有限公司 | A kind of space ranging method and system for mixed reality equipment |
| US20170344124A1 (en) * | 2016-05-31 | 2017-11-30 | Augumenta Ltd. | Method and system for user interaction |
-
2018
- 2018-04-28 CN CN201810399207.9A patent/CN108596969B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20110128096A (en) * | 2010-05-20 | 2011-11-28 | 성균관대학교산학협력단 | System and method for implementing augmented reality using building enviornment data |
| CN104094082A (en) * | 2012-01-13 | 2014-10-08 | 高通股份有限公司 | Virtual ruler |
| CN203069149U (en) * | 2013-02-06 | 2013-07-17 | 湖南大学 | Steel bar distance and size rapid identification system based on image processing technology |
| CN105180732A (en) * | 2015-07-24 | 2015-12-23 | 成都市计量检定测试院 | Steel band tape scale error measuring method |
| CN106705837A (en) * | 2015-11-17 | 2017-05-24 | 华为技术有限公司 | Gesture-based object measurement method and device |
| CN105639818A (en) * | 2016-04-11 | 2016-06-08 | 中国建筑东北设计研究院有限公司 | Intelligent safety helmet based on augmented reality, space scanning and gesture recognition technologies |
| US20170344124A1 (en) * | 2016-05-31 | 2017-11-30 | Augumenta Ltd. | Method and system for user interaction |
| CN106842219A (en) * | 2017-01-18 | 2017-06-13 | 北京商询科技有限公司 | A kind of space ranging method and system for mixed reality equipment |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109448044A (en) * | 2018-11-30 | 2019-03-08 | 重庆大学 | A kind of aided detection method and system for bar spacing in steel reinforcement cage |
| CN111705400A (en) * | 2020-06-30 | 2020-09-25 | 山东日发纺织机械有限公司 | Automatic drawing-in machine and control method for inserting reed knife into steel reed |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108596969B (en) | 2020-06-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11551341B2 (en) | Method and device for automatically drawing structural cracks and precisely measuring widths thereof | |
| CN114529549B (en) | Cloth defect labeling method and system based on machine vision | |
| CN108596969A (en) | A kind of steel bar stress spacing acceptance method | |
| WO2016169316A1 (en) | Parallel image measurement method for measuring thickness of insulating layer facing radially symmetrical cable section | |
| CN107764200A (en) | The measuring method of Super High elevator hoistways | |
| CN111814546A (en) | Image recognition algorithm for power transmission line sag measurement | |
| CN105303233A (en) | Method for counting number of reinforced steel bars based on computer vision | |
| CN113487722A (en) | Automatic concrete member detection method based on three-dimensional laser scanning method | |
| CN116030021B (en) | Automatic detection system for hidden crack characteristics of photovoltaic module | |
| CN103839271A (en) | Method for image texture synthesis based on optimum matching | |
| CN110288624A (en) | Detection method, device and the relevant device of straightway in a kind of image | |
| CN104978466A (en) | Three-dimensional definite-number bar arrangement method used for multiple guide wires | |
| CN106683191A (en) | Distance reinforcement placement method suitable for complex surface and simple surface | |
| CN104240228A (en) | Detecting method and device for specific pictures applied to website | |
| CN104112123A (en) | Defect characteristic extraction and identification method of AOI system used for bullet apparent defect detection | |
| CN106199745B (en) | A kind of recognition methods of the pore throat of connection | |
| WO2024066463A1 (en) | Rebar spacing measurement method and system based on binocular vision | |
| CN102651137B (en) | Algebraic curve rasterization method based on pixel precision | |
| CN110555385B (en) | Welding seam characteristic point solving method based on variable step length curvature filtering | |
| CN115019252B (en) | Concrete quality detection method and device and monitoring equipment | |
| CN110033444A (en) | A kind of building structure surface crack automatic axial dimensioning method | |
| CN105513071A (en) | Topographic map schema quality evaluation method | |
| CN110310270A (en) | Tumour microballoon profile testing method and device based on U-net network model | |
| JP2019066267A (en) | Crack detector, crack detection method, and computer program | |
| JP2005062041A (en) | Soundness evaluation method, evaluation program and evaluation device |
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 |