CN110632080A - Intelligent detection method for weld joint of steel box girder - Google Patents
Intelligent detection method for weld joint of steel box girder Download PDFInfo
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- CN110632080A CN110632080A CN201910863622.XA CN201910863622A CN110632080A CN 110632080 A CN110632080 A CN 110632080A CN 201910863622 A CN201910863622 A CN 201910863622A CN 110632080 A CN110632080 A CN 110632080A
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- box girder
- detection
- steel box
- welding
- welding seam
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- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
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- 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
- G01N2021/8887—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 based on image processing techniques
Abstract
The invention relates to an intelligent detection method for a steel box girder welding seam, which comprises the following steps: step one, numbering independent units separated by webs, transverse clapboards and longitudinal clapboards in a steel box girder by adopting a key field method; secondly, the number of the welding seam formed in the manufacturing process of the steel box girder is used as the number of the welding seam in detection; step three, setting a two-dimensional code for each welding line to be detected to form a permanent identity mark of each welding line; step four, detecting the welding seams one by adopting a detection system of a steel structure climbing robot carrying a high-definition camera; fifthly, reading and identifying the high-definition welding seam image shot by the robot detection system; and step six, sorting and filing all camera shooting data and the identified defect information, and recording the camera shooting data and the identified defect information into a bridge management system. The invention manages the numbers of the internal space units and the welding lines of the steel box girder, forms unique numbers as the identification basis of the welding lines, is direct and accurate, and avoids the errors possibly generated by manual recording.
Description
Technical Field
The invention relates to an intelligent detection method for a steel box girder welding seam, which is mainly used for intelligently detecting cracks on the surface of the bridge steel box girder welding seam and detecting the defects of the welding seam of other steel structures, and belongs to the technical field of intelligent detection.
Background
The steel box girder of a large bridge is mostly in an orthotropic plate structure. The structure is limited by the narrow and small reasons of the inner space of the U rib, the traditional structure can be welded on the single surface of the outer side of the U rib in a unified mode, fatigue cracks are easily generated from a welding root under the effect of repeated alternating load, the fatigue cracks are expanded towards the thickness of a panel or the direction of a welding throat, the fatigue cracking condition of different degrees appears in less than 15 years when the bridge of the structure is communicated in China, and the service life of the bridge is seriously influenced and the driving safety is seriously influenced. Although the U-rib double-side welding technology is developed domestically after 2016, the fatigue cracking tendency of a welding root is greatly reduced, due to the fact that adverse factors such as overload in bridge passing still exist, the fatigue failure mode of double-side welding is changed from welding root failure to welding toe failure, and detection of fatigue cracks of welding seams at corners of U ribs is still important in bridge maintenance; besides the U-rib fillet weld of the top plate and the bottom plate, weld seams formed by webs, transverse partition plates, longitudinal partition plates, stiffening ribs and the like exist in the steel box girder, and cracks of different degrees can also appear along with the increase of the service life of the bridge. The timely discovery of fatigue cracks and the effective crack arrest treatment are necessary measures for preventing the diseases from continuing to develop and ensuring the service life of the bridge and the driving safety.
The U-rib welding seams of the top plate and the bottom plate of the steel box girder are numerous, each U-rib has 2 welding seams (4 welding seams are welded on two sides), and the welding seams formed by the inner web plate, the transverse partition plate, the longitudinal partition plate and the stiffening ribs of the box girder are added, so that the number and the total length are considerable. The box girder is separated into a plurality of independent units, the sizes and the heights are different, and the U-shaped rib welding line of the top plate is inspected upward and is difficult to inspect manually. Such a plurality of welding seams are complex and huge, and the detection, defect identification and clear and accurate record are not omitted, and the detection and the identification need to be accurate and comprehensive, and the existing method depends on manual detection and manual record, is chaotic under most conditions, and cannot be accurate, efficient and omitted. These are all a big problem in the maintenance of the large-scale bridge steel box girder at present.
Disclosure of Invention
The invention aims to solve the technical problem of providing an accurate, comprehensive and efficient intelligent detection method for the weld joint of the steel box girder in the prior art.
The technical scheme adopted by the invention for solving the problems is as follows: an intelligent detection method for a steel box girder welding seam comprises the following steps:
step one, numbering independent units separated by webs, transverse clapboards and longitudinal clapboards in the steel box girder by adopting a key field method, wherein the number of each unit is unique and is used as a part of detection information to distinguish different detection areas;
step two, the welding seam number formed in the manufacturing process of the steel box girder is used as the welding seam number in detection, and detection information is formed to facilitate comparison and tracking with the same welding seam condition in the original bridge filing data;
setting a two-dimensional code for each welding line to be detected to form a permanent identity mark of each welding line, so that the latest detection information can be conveniently identified and recorded during each detection;
step four, detecting the welding seams one by one, scanning the two-dimensional code before detection, and automatically inputting image information formed in the detection into a two-dimensional code database;
fifthly, reading and identifying the high-definition welding seam image shot by the robot detection system, determining the type, position and size of the defect, outputting relevant defect information and forming a report;
and step six, sorting and filing all camera shooting data and the identified defect information, and recording the camera shooting data and the identified defect information into a bridge management system.
Preferably, the fields constituting the unit number in the step one may include: the number of the steel box girder segment, the number of the uplink and downlink identification numbers and the number of the sequence according to the trend of the bridge.
Preferably, the information recorded in the two-dimensional code in the step two includes a cell number, a weld number, and past detection information.
Preferably, in the second step, in order to facilitate storage of multiple detection information within the full life cycle of the bridge, the two-dimensional code is connected with the bridge management system to serve as the two-dimensional code database.
Preferably, the robot is provided with a spotlight for illumination in step three, and is turned on when illumination is needed.
Preferably, in the third step, the two-dimensional code is laser-applied to the coating layer near the initial position of each welding seam.
Preferably, in the fourth step, a steel structure climbing robot is adopted to carry a high-definition camera detection system to perform weld joint detection one by one.
Preferably, in the fifth step, intelligent image recognition software is adopted to read and recognize the high-definition welding seam image shot by the robot detection system.
Compared with the prior art, the invention has the advantages that:
1. the detection method is different from the existing detection method in that the number management is carried out on the internal space unit of the steel box girder and the welding seam, a unique number is formed to be used as a welding seam identity identification basis, a two-dimensional code is generated, the welding seam identification is completed by scanning during the detection, the information generated in the detection is automatically recorded in a database, the detection is direct and accurate, and the error possibly generated by manual recording is avoided;
2. the detection method of the invention is also different in that a robot is adopted to replace manual detection. The existing detection method is basically that manual handheld camera equipment carries out camera detection on a weld one by one, the workload is large, the influence of weather and detection environment is large, fatigue is easy to occur, lacuna is caused, and detection is given up in some local narrow spaces because personnel cannot enter; according to the detection method, the intelligent robot is adopted to advance and shoot along the welding line according to the preset route, personnel are assisted in observation and tracking, the working efficiency is high, the working strength is greatly reduced, and the welding line in all areas can be detected;
3. the third difference of the detection method of the invention is that intelligent image recognition software is adopted to replace manual observation and recognition. The existing detection method depends on the fact that whether a welding seam has defects or not is observed and judged in real time by personnel in the detection process, the influence of personnel fatigue conditions and illumination brightness and angles is large, small cracks are easy to ignore and miss judgment, particularly, the small cracks are easy to see when the personnel are highly fatigued and the sight angles are not right, similar problems also exist in manual review of camera shooting data, and the probability of missing detection and missing judgment is high. The invention adopts intelligent image recognition software to efficiently recognize the detected image, can continuously read the image for a long time and recognize defects, can recognize fine cracks which are difficult to recognize by naked eyes, and has high reliability and efficiency compared with manual recognition.
Detailed Description
The intelligent detection method for the welding seam of the steel box girder in the embodiment comprises the following steps:
step one, numbering independent units separated by webs, transverse clapboards and longitudinal clapboards in the steel box girder by adopting a key field method (similar to room numbers), wherein each unit number is unique and is used as a part of detection information to distinguish different detection areas, and fields forming the unit numbers can include (but are not limited to): the section number of the steel box girder, the identification numbers of an uplink and a downlink (an uplink U and a downlink D), the serial number according to the trend of the bridge and the like;
step two, the welding seam number formed in the manufacturing process of the steel box girder is used as the welding seam number in detection, and detection information is formed to facilitate comparison and tracking with the same welding seam condition in the original bridge filing data;
step three, setting a two-dimensional code for each welding line to be detected, wherein the input information comprises a unit number, a welding line number, past detection information and the like; and the two-dimensional code is laser-irradiated to the coating near the initial position of each welding line to form a permanent identity mark of each welding line, so that the latest detection information can be conveniently identified and recorded during each detection.
In order to facilitate the storage of multiple detection information in the whole life cycle of the bridge, the two-dimensional code is connected with a bridge management system to serve as a two-dimensional code database;
step four, carrying out weld joint detection one by adopting a detection system of a high-definition camera carried by a steel structure climbing robot, wherein the robot is provided with a spotlight for illumination, and is started when illumination is needed; scanning the two-dimensional code before detection, and automatically inputting information such as an image formed in the detection into a two-dimensional code database;
step five, reading and identifying the high-definition welding seam image shot by the robot detection system by adopting intelligent image identification software, determining the defect type, position, size and the like, and outputting related defect information to form a report;
and step six, sorting and filing all camera shooting data and the identified defect information, and recording the camera shooting data and the identified defect information into a bridge management system.
In addition to the above embodiments, the present invention also includes other embodiments, and any technical solutions formed by equivalent transformation or equivalent replacement should fall within the scope of the claims of the present invention.
Claims (8)
1. The intelligent detection method for the welding seam of the steel box girder is characterized by comprising the following steps:
step one, numbering independent units separated by webs, transverse clapboards and longitudinal clapboards in the steel box girder by adopting a key field method, wherein the number of each unit is unique and is used as a part of detection information to distinguish different detection areas;
step two, the welding seam number formed in the manufacturing process of the steel box girder is used as the welding seam number in detection, and detection information is formed to facilitate comparison and tracking with the same welding seam condition in the original bridge filing data;
setting a two-dimensional code for each welding line to be detected to form a permanent identity mark of each welding line, so that the latest detection information can be conveniently identified and recorded during each detection;
step four, detecting the welding seams one by one, scanning the two-dimensional code before detection, and automatically inputting image information formed in the detection into a two-dimensional code database;
fifthly, reading and identifying the high-definition welding seam image shot by the robot detection system, determining the type, position and size of the defect, outputting relevant defect information and forming a report;
and step six, sorting and filing all camera shooting data and the identified defect information, and recording the camera shooting data and the identified defect information into a bridge management system.
2. The intelligent detection method for the weld joint of the steel box girder according to claim 1, characterized in that: the fields constituting the unit number in step one may include: the number of the steel box girder segment, the number of the uplink and downlink identification numbers and the number of the sequence according to the trend of the bridge.
3. The intelligent detection method for the weld joint of the steel box girder according to claim 1, characterized in that: and step two, recording information of the two-dimensional code, wherein the information comprises a unit number, a welding seam number and past detection information.
4. The intelligent detection method for the weld joint of the steel box girder according to claim 1, characterized in that: and in the second step, the two-dimensional code is connected with a bridge management system to be used as a two-dimensional code database, so that the storage of multiple detection information in the whole life cycle of the bridge is facilitated.
5. The intelligent detection method for the weld joint of the steel box girder according to claim 1, characterized in that: in the third step, the robot is provided with a spotlight for lighting and is turned on when lighting is needed.
6. The intelligent detection method for the weld joint of the steel box girder according to claim 1, characterized in that: and in the third step, the two-dimensional code is subjected to laser on the coating layer near the initial position of each welding line.
7. The intelligent detection method for the weld joint of the steel box girder according to claim 1, characterized in that: and in the fourth step, the steel structure climbing robot is adopted to carry a detection system of a high-definition camera to carry out weld joint detection one by one.
8. The intelligent detection method for the weld joint of the steel box girder according to claim 1, characterized in that: and fifthly, reading and identifying the high-definition welding seam image shot by the robot detection system by adopting intelligent image identification software.
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| CN201910863622.XA CN110632080A (en) | 2019-09-12 | 2019-09-12 | Intelligent detection method for weld joint of steel box girder |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113516109A (en) * | 2021-09-13 | 2021-10-19 | 北京创米智汇物联科技有限公司 | Method and system for detecting pollution degree of target position |
| CN114775422A (en) * | 2022-06-20 | 2022-07-22 | 江苏润扬大桥发展有限责任公司 | Inside U rib of steel case roof beam detects operating system |
| CN114932341A (en) * | 2022-04-18 | 2022-08-23 | 广州东焊智能装备有限公司 | Intelligent control system for automobile body welding |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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Application publication date: 20191231 |
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