CN102980894A - System and method of nondestructive testing of steel structure special type weld - Google Patents
System and method of nondestructive testing of steel structure special type weld Download PDFInfo
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- CN102980894A CN102980894A CN2012104551485A CN201210455148A CN102980894A CN 102980894 A CN102980894 A CN 102980894A CN 2012104551485 A CN2012104551485 A CN 2012104551485A CN 201210455148 A CN201210455148 A CN 201210455148A CN 102980894 A CN102980894 A CN 102980894A
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Abstract
Disclosed are a system and a method of nondestructive testing of steel structure special type weld. The system of the nondestructive testing of the steel structure special type weld comprises an image collecting device, an ultrasonic signal collecting device, an upper monitor module and a power source. The image collecting device is connected with the upper monitor module and is used for collecting a steel structure weld joint image at real time and then the steel structure weld joint image is sent to the upper monitor. The ultrasonic signal collecting device is connected with the upper monitor module and is used for collecting an ultrasonic signal and generating an ultrasonic wave form image used for analysis. The upper monitor is used for analyzing the collected image and the collected ultrasonic wave form,and locating a weld joint defect,and analyzing the weld joint defect situation, and then obtains defect particular information and defect parameter. The image collecting device and the ultrasonic signal collecting device are respectively connected with the power source, and the upper monitor module and is used for supplying power to the image collecting device and the ultrasonic signal collecting device and the upper monitor module. The system and the method of the nondestructive testing of the steel structure special type weld have the advantages of being easy to operate, high in measurement precision and accuracy, high in work efficiency, convenient and easy to use and high in real-time property.
Description
Technical field
The present invention relates to the steel construction detection field, be specifically related to a kind of steel construction special welding nondestructive detection system and method.
Background technology
During welding for steel structure is a more special physical metallurgical process, the reason that can affect the weld assembly welding quality is a lot, impact such as factors such as the problem of the defective of welding technology and equipment itself, materials all can bring adverse effect to the mechanical property of steel construction.The principle of employed Dynamic Non-Destruction Measurement is to detect its welding quality quality under the prerequisite of the performance that does not affect steel construction on the during welding for steel structure, by defective is distinguished in the isoparametric variation of light, magnetic field and vibration that causes owing to weld defects.
At present, the steel construction Inner Defect Testing means that generally adopt comprise that ultrasound wave or X ray detect.Because it is convenient and swift that ultrasound examination has, low cost and other advantages, thereby compared to the X ray detection, ultrasound examination is used more extensive.Yet the conventional sense method obtains the data of waveform and has only utilized sub-fraction, for defective, especially the actual defects in the weld seam is carried out the qualitative evaluation aspect and is but had sizable difficulty, detect identification and take time and effort, accuracy of identification is low, and poor accuracy, detection efficiency are low.
Summary of the invention
The object of the present invention is to provide a kind of steel construction special welding nondestructive detection system, exist detection identification to take time and effort to solve existing ultrasound wave steel construction Inner Defect Testing mode, accuracy of identification is low, poor accuracy, the technical matters that detection efficiency is low.
Another object of the present invention is to provide a kind of steel construction special welding lossless detection method, exist detection identification to take time and effort to solve existing ultrasound wave steel construction Inner Defect Testing mode, accuracy of identification is low, poor accuracy, the technical matters that detection efficiency is low.
For achieving the above object, the invention provides a kind of steel construction special welding nondestructive detection system, comprise: image collecting device, ultrasonic signal harvester, upper computer module and power supply, image collecting device is connected with upper computer module, in order to Real-time Collection Steel Structure Weld image and be sent to upper computer module; The ultrasonic signal harvester is connected with upper computer module, in order to gather ultrasonic signal, generate the ultrasound wave waveform figure that analyzes usefulness, upper computer module is in order to analyze the image and the ultrasound wave waveform that collect, the tack weld defective is also analyzed the weld defect situation, obtains concrete defect information and defect parameters; Power supply is connected with upper computer module with image collecting device, ultrasonic signal harvester respectively, with thinking that image collecting device, ultrasonic signal harvester and upper computer module provide electric power; Wherein, upper computer module further comprises:
Man-machine interaction processing unit: in order to accept user's operation, realize initial work and parameter setting, and show in real time detection information and testing result;
Image acquisition units: be connected with image collecting device with the man-machine interaction processing unit respectively, in order to user's operation of accepting according to the man-machine interaction processing unit, drive image collecting device Real-time Collection Steel Structure Weld image, and the image that collects is sent to graphics processing unit;
Ultrasonic signal collecting unit: be connected with the ultrasonic signal harvester with the man-machine interaction processing unit respectively, in order to user's operation of accepting according to the man-machine interaction processing unit, drive the ultrasonic signal harvester and gather ultrasonic signal, generate the ultrasound wave waveform figure that analyzes usefulness, and ultrasound wave waveform figure is sent to the ultrasonic signal processing unit;
Graphics processing unit: be connected with image acquisition units, carry out analyzing and processing in order to the characteristics of image to the weld seam that receives, tack weld defective and analyze the weld defect situation;
Ultrasonic signal processing unit: be connected with the ultrasonic signal collecting unit, compare in order to the ultrasound wave waveform figure that will receive and pre-stored reference waveform figure template, obtain concrete defect information and defect parameters;
Statistical treatment unit: be connected with the ultrasonic signal processing unit with graphics processing unit, add up one batch Steel Structure Weld defect situation, and be sent to database and man-machine interaction processing unit; And,
Database: in order to pre-stored reference waveform figure template, and, the Steel Structure Weld defect situation information of each batch that storage statistical treatment unit obtains.
According to the described steel construction special welding of preferred embodiment of the present invention nondestructive detection system, this image collecting device adopts the CMOS color camera.
According to the described steel construction special welding of preferred embodiment of the present invention nondestructive detection system, this statistical treatment unit is sent to database and man-machine interaction processing unit with the form of excel chart with one batch Steel Structure Weld defect situation generating report forms.
According to the described steel construction special welding of preferred embodiment of the present invention nondestructive detection system, this reference waveform figure template is the ultrasonic signal oscillogram of flawless steel plate.
For achieving the above object, the present invention also provides a kind of steel construction special welding lossless detection method, may further comprise the steps:
(1) accepts user's operation, realize initial work and parameter setting;
(2) according to user's operation, drive respectively image collecting device and ultrasonic signal harvester Real-time Collection Steel Structure Weld image and ultrasonic signal, and generate the ultrasound wave waveform figure that analyzes usefulness;
(3) analyzing and processing is carried out in the characteristics of image of the weld seam that collects, tack weld defective and analyze the weld defect situation;
(4) ultrasound wave waveform figure and pre-stored reference waveform figure template are compared, obtain concrete defect information and defect parameters;
(5) add up one batch Steel Structure Weld defect situation according to the result of step (3), step (4), show in real time detection information and statistics, and the storage statistics.
According to the described steel construction special welding of preferred embodiment of the present invention lossless detection method, in the step (5), one batch Steel Structure Weld defect situation is with the form generating report forms of excel chart.
The present invention's while combining image method and ultrasonic detection technology are realized the Non-Destructive Testing of the Steel Structure Weld on the streamline.By image acquisition and analysis, determine whether weld seam exists defective, if there is defective, defective is carried out qualitative analysis, determine position, the type of defective; Figure compares the differentiation defect property by the ultrasound wave waveform, the quantitative concrete defect level that obtains weld seam.And show in real time detection information and testing result and statistics is stored in the database.The present invention combines image method and ultrasonic detection technology, defect type that can the automatic discrimination weld seam and concrete defect level, and generating report forms is input in the database and stores.Adopt the method for convenient image from operation to improve the accuracy of measuring and measured efficient.In addition, the query processing that the present invention also provides convenience by the interaction process of database makes things convenient for subsequent query, has further improved accuracy.Therefore, compared with prior art, that the present invention has is simple to operate, measuring accuracy is high, accuracy is high, and production efficiency is high, convenient easy-to-use, advantage that real-time is high.
Description of drawings
Fig. 1 is the structural representation of steel construction special welding nondestructive detection system of the present invention;
Fig. 2 is the weld seam detection situation tabulation of the embodiment of the invention.
Embodiment
Below in conjunction with accompanying drawing, specify the present invention.
See also Fig. 1, a kind of steel construction special welding nondestructive detection system, comprise: image collecting device 1, ultrasonic signal harvester 2, upper computer module 3 and power supply 4, image collecting device 1 adopts the CMOS color camera, it is connected with upper computer module 3, in order to Real-time Collection Steel Structure Weld image and be sent to upper computer module 3; Ultrasonic signal harvester 2 is connected with upper computer module 3, in order to gather ultrasonic signal, generate the ultrasound wave waveform figure that analyzes usefulness, upper computer module 3 is in order to analyze the image and the ultrasound wave waveform that collect, the tack weld defective is also analyzed the weld defect situation, obtains concrete defect information and defect parameters; Power supply 4 is connected with upper computer module with image collecting device 1, ultrasonic signal harvester 2 respectively and is connected, with thinking that image collecting device 1, ultrasonic signal harvester 2 and upper computer module 3 provide electric power.Upper computer module 3 further comprises:
Man-machine interaction processing unit 31: in order to accept user's operation, realize initial work and parameter setting, and show in real time detection information and testing result.
Parameter is provided for arranging acquisition frame rate, segmentation threshold, and receive the parameter such as coefficient.
Image acquisition units 32: is connected with image collecting device with man-machine interaction processing unit 31 respectively and is connected, in order to user's operation of accepting according to man-machine interaction processing unit 31, drive image collecting device 1 Real-time Collection Steel Structure Weld image, and the image that collects is sent to graphics processing unit 34.
Image acquisition units 32 drives CMOS color camera Real-time Collection Steel Structure Weld images, and can adjust the parameters such as the exposure of camera and gain.
Ultrasonic signal collecting unit 33: are connected with the ultrasonic signal harvester with man-machine interaction processing unit 31 respectively and are connected, in order to user's operation of accepting according to man-machine interaction processing unit 31, drive ultrasonic signal harvester 2 and gather ultrasonic signal, generate the ultrasound wave waveform figure that analyzes usefulness, and ultrasound wave waveform figure is sent to ultrasonic signal processing unit 35.
Graphics processing unit 34: be connected with image acquisition units 32, carry out analyzing and processing in order to the characteristics of image to the weld seam that receives, tack weld defective and analyze the weld defect situation.
Graphics processing unit 34 is analyzed the characteristics of image of weld seam, tack weld defective and analysis weld defect situation.Which kind of weld seam specifically extracts by image information is, and analyzes qualitatively position while welding and the defect type of weld seam.Edge feature value by image and cut apart binary map obtains position and the defect type of weld seam, and weld defect comprises five kinds: pore, slag inclusion, crackle, lack of penetration and incomplete fusion.
Ultrasonic signal processing unit 35: be connected with ultrasonic signal collecting unit 33, compare in order to the ultrasound wave waveform figure that will receive and pre-stored reference waveform figure template, obtain concrete defect information and defect parameters.
Ultrasonic signal processing unit 35 is by comparing the quantitative concrete defect level that obtains weld seam with the weld joint ultrasonic oscillogram of standard.By comparing with the ultrasound wave waveform artwork plate of standard, calculate the degree of defective by the departure degree of curve.
Statistical treatment unit 36: are connected with the ultrasonic signal processing unit with graphics processing unit 34 and are connected, add up one batch Steel Structure Weld defect situation, and be sent to database 37 and man-machine interaction processing unit 31.
The weld defect that statistical treatment unit 36 obtains according to graphics processing unit 34 and ultrasonic signal processing unit 35 is sent to database and man-machine interaction processing unit with the form of excel chart with one batch Steel Structure Weld defect situation generating report forms and stores and show.
The defective of weld seam mainly comprises five kinds: pore, slag inclusion, crackle, lack of penetration and incomplete fusion.As shown in Figure 2, defect recognition result of the present invention is divided into 6 kinds of situations: 0 represents normally in the table, and 1 represents pore, and 2 represent slag inclusion, and 3 represent crackle, and 4 representatives are lack of penetration, and 5 represent incomplete fusion.
Database 37: in order to pre-stored reference waveform figure template, and, the Steel Structure Weld defect situation information of each batch that storage statistical treatment unit 36 obtains.
Reference waveform figure template is the ultrasonic signal oscillogram of flawless steel plate, and is pre-stored in database 37.
Also provide a kind of steel construction special welding lossless detection method based on above-mentioned system the present invention, may further comprise the steps:
(1) accepts user's operation, realize initial work and parameter setting.
The user carries out the parameter setting by man-machine interaction processing unit 21, and concrete parameter is provided for arranging acquisition frame rate, segmentation threshold, and receive the parameter such as coefficient.
(2) according to user's operation, drive respectively image collecting device and ultrasonic signal harvester Real-time Collection Steel Structure Weld image and ultrasonic signal, and generate the ultrasound wave waveform figure that analyzes usefulness.
Image acquisition units 32 drives CMOS color camera Real-time Collection Steel Structure Weld images, and can adjust the parameters such as the exposure of camera and gain.
(3) characteristics of image of the weld seam that collects carried out analyzing and processing, tack weld defective and analyze the weld defect situation.
Graphics processing unit 34 is analyzed the characteristics of image of weld seam, tack weld defective and analysis weld defect situation.Which kind of weld seam specifically extracts by image information is, and analyzes qualitatively position while welding and the defect type of weld seam.Specifically the edge feature value by image and cut apart binary map obtains position and the defect type of weld seam.
(4) ultrasound wave waveform figure and pre-stored reference waveform figure template are compared, obtain concrete defect information and defect parameters.
Ultrasonic signal processing unit 35 is compared by the ultrasound wave waveform figure with standard, the quantitative concrete defect level that obtains weld seam.
(5) add up one batch Steel Structure Weld defect situation according to the result of step (3), step (4), show in real time detection information and statistics, and the storage statistics.
The weld defect that statistical treatment unit 36 obtains according to graphics processing unit 34 and ultrasonic signal processing unit 35 is sent to database and man-machine interaction processing unit with the form of excel chart with one batch Steel Structure Weld defect situation generating report forms and stores and show.
The defective of weld seam mainly comprises five kinds: pore, slag inclusion, crackle, lack of penetration and incomplete fusion.As shown in Figure 2, defect recognition result of the present invention is divided into 6 kinds of situations: 0 represents normally in the table, and 1 represents pore, and 2 represent slag inclusion, and 3 represent crackle, and 4 representatives are lack of penetration, and 5 represent incomplete fusion.
The present invention at first inputs correlation parameter, start-up system afterwards, Steel Structure Weld image and ultrasound wave waveform on the beginning Real-time Collection streamline, and show in real time and analyze weld image and ultrasound examination situation, defect situation analysis and analysis result are shown by the man-machine interaction processing unit.0 represents normally in the table, and 1 represents pore, and 2 represent slag inclusion, and 3 represent crackle, and 4 representatives are lack of penetration, and 5 represent incomplete fusion.Treat that the defect analysis process finishes, generating report forms, generate defect situation result's the excel chart (as shown in Figure 2) of one batch the extraordinary weld seam of steel construction, and import database and import to and store in the corresponding database and show by the man-machine interaction processing unit.
The present invention can finish the Non-Destructive Testing of the Steel Structure Weld on the streamline, and the defect type of automatic discrimination weld seam, generating report forms are input in the correspondence database, and system is simple to operate, and is convenient easy-to-use, practical.Image method and ultrasonic detection technology are combined, defect type that can the automatic discrimination weld seam and concrete defect level, and generating report forms is input in the database and stores.Adopt the method for the image of handled easily to improve the accuracy of measuring and measured efficient.In addition, the query processing that the present invention also provides convenience by the interaction process of database makes things convenient for subsequent query, has further improved accuracy.Therefore, compared with prior art, that the present invention has is simple to operate, measuring accuracy is high, accuracy is high, and production efficiency is high, convenient easy-to-use, advantage that real-time is high.
The above, it only is better embodiment of the present invention, be not that the present invention is done any pro forma restriction, any content that does not break away from technical solution of the present invention, according to any simple modification, equivalent variations and the modification that technical spirit of the present invention is done above embodiment, all belong to the scope of technical solution of the present invention.
Claims (6)
1. steel construction special welding nondestructive detection system, it is characterized in that, comprise: image collecting device, ultrasonic signal harvester, upper computer module and power supply, described image collecting device is connected with described upper computer module, in order to Real-time Collection Steel Structure Weld image and be sent to described upper computer module; Described ultrasonic signal harvester is connected with described upper computer module, in order to gather ultrasonic signal, generate the ultrasound wave waveform figure that analyzes usefulness, described upper computer module is in order to analyze the image and the ultrasound wave waveform that collect, the tack weld defective is also analyzed the weld defect situation, obtains concrete defect information and defect parameters; Described power supply is connected with upper computer module with described image collecting device, ultrasonic signal harvester respectively, with thinking that described image collecting device, ultrasonic signal harvester and upper computer module provide electric power; Wherein, described upper computer module further comprises:
Man-machine interaction processing unit: in order to accept user's operation, realize initial work and parameter setting, and show in real time detection information and testing result;
Image acquisition units: be connected with image collecting device with described man-machine interaction processing unit respectively, in order to user's operation of accepting according to described man-machine interaction processing unit, drive image collecting device Real-time Collection Steel Structure Weld image, and the image that collects is sent to graphics processing unit;
Ultrasonic signal collecting unit: be connected with the ultrasonic signal harvester with described man-machine interaction processing unit respectively, in order to user's operation of accepting according to described man-machine interaction processing unit, drive the ultrasonic signal harvester and gather ultrasonic signal, generate the ultrasound wave waveform figure that analyzes usefulness, and ultrasound wave waveform figure is sent to described ultrasonic signal processing unit;
Graphics processing unit: be connected with described image acquisition units, carry out analyzing and processing in order to the characteristics of image to the weld seam that receives, tack weld defective and analyze the weld defect situation;
Ultrasonic signal processing unit: be connected with described ultrasonic signal collecting unit, compare in order to the ultrasound wave waveform figure that will receive and pre-stored reference waveform figure template, obtain concrete defect information and defect parameters;
Statistical treatment unit: be connected with the ultrasonic signal processing unit with described graphics processing unit, add up one batch Steel Structure Weld defect situation, and be sent to database and man-machine interaction processing unit; And,
Database: in order to pre-stored reference waveform figure template, and, the Steel Structure Weld defect situation information of storing each batch that described statistical treatment unit obtains.
2. steel construction special welding nondestructive detection system as claimed in claim 1 is characterized in that, described image collecting device adopts the CMOS color camera.
3. steel construction special welding nondestructive detection system as claimed in claim 1, it is characterized in that described statistical treatment unit is sent to database and man-machine interaction processing unit with the form of excel chart with one batch Steel Structure Weld defect situation generating report forms.
4. steel construction special welding nondestructive detection system as claimed in claim 1 is characterized in that, described reference waveform figure template is the ultrasonic signal oscillogram of flawless steel plate.
5. a steel construction special welding lossless detection method is characterized in that, may further comprise the steps:
(1) accepts user's operation, realize initial work and parameter setting;
(2) according to user's operation, drive respectively image collecting device and ultrasonic signal harvester Real-time Collection Steel Structure Weld image and ultrasonic signal, and generate the ultrasound wave waveform figure that analyzes usefulness;
(3) analyzing and processing is carried out in the characteristics of image of the weld seam that collects, tack weld defective and analyze the weld defect situation;
(4) ultrasound wave waveform figure and pre-stored reference waveform figure template are compared, obtain concrete defect information and defect parameters;
(5) add up one batch Steel Structure Weld defect situation according to the result of step (3), step (4), show in real time detection information and statistics, and the storage statistics.
6. steel construction special welding lossless detection method as claimed in claim 5 is characterized in that, in the step (5), one batch Steel Structure Weld defect situation is with the form generating report forms of excel chart.
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| CN103217476A (en) * | 2013-04-01 | 2013-07-24 | 国家电网公司 | Ultrasonic surface wave detection method for surface defects of butt weld of rows of tubes of boiler header |
| CN104237381A (en) * | 2014-10-15 | 2014-12-24 | 北京新联铁科技股份有限公司 | Steel rail flaw-detection method based on laser ultrasonic and high-speed photography image fusion |
| CN104461682A (en) * | 2014-10-31 | 2015-03-25 | 武汉钢铁(集团)公司 | Steel rolling steel plate simulation slitting quality judgment system and method |
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| CN110658260A (en) * | 2019-09-29 | 2020-01-07 | 北京星航机电装备有限公司 | Phased array ultrasonic detection system and method for additive manufacturing lattice structure skin and lattice endpoint unconnected defect |
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| CN110658260B (en) * | 2019-09-29 | 2022-02-01 | 北京星航机电装备有限公司 | Phased array ultrasonic detection system and method for additive manufacturing lattice structure skin and lattice endpoint unconnected defect |
| CN111650211A (en) * | 2020-06-23 | 2020-09-11 | 四川长虹电器股份有限公司 | Outer quick-witted base welding defect detecting system of air conditioner |
| CN113884571A (en) * | 2021-08-16 | 2022-01-04 | 武汉市晴川焊接无损检测有限公司 | Detection method for defects of ultrathin fire-fighting pipe wall |
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