Fabricated steel structure welding joint quality identification detection method and device

Abstract

The application discloses a kind of quality identification detection methods and devices of fabricated steel structure welded joint, the device includes quality detector and quality inspection computer, the quality detector includes image sensor, infrared thermal imager, multiple detection lamps, laser regulator and signal transmitter, the periphery of image sensor is provided with mounting ring, multiple detection lamps are annularly spaced apart on the mounting ring, the laser regulator includes two rotating laser heads for generating measurement laser, two rotating laser heads are symmetrically mounted at the two ends of the mounting ring, the signal transmitter is used to send the detection information obtained by the quality detector to the quality inspection computer, the quality inspection computer includes signal receiver to accept the detection information sent by the quality detector, the application can improve the use portability of the welding joint detection equipment in the fabricated steel structure welding scene, and the quality identification detection process of welding joint can be optimized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of welded joint detection, in particular to a fabricated steel structure welded joint quality identification detection method and device. BACKGROUND

[0002] In steel structure buildings and bridges, welded joints bear the key role of connecting various structural components and transmitting loads, such as the steel box girder connection joint of large bridges, the steel structure frame joint of high-rise buildings, etc. If the welded joints have quality defects such as cracks and incomplete penetration, under the long-term action of external forces such as vehicle load, wind force and earthquake force, the defects may gradually expand, leading to a decrease in the carrying capacity of the joint, and eventually causing local damage or even overall collapse of the structure, which seriously threatens life and property safety.

[0003] In the existing non-destructive testing technology of welded joints, detection methods such as visual inspection, ultrasonic testing, infrared testing, etc. are usually used. However, the existing welded joint detection equipment is usually cumbersome to use and has high requirements. In some welded scenarios of steel structure buildings, the position of the welded joint is usually uncontrollable, i.e. variable and may also appear in places where it is inconvenient to set up detection equipment. Therefore, the use of existing detection equipment and detection means has certain inconvenience.

[0004] The information disclosed in this BACKGROUND section is only intended to increase an understanding of the general background of the application and should not be construed as recognition or admission that this information is prior art in relation to the application. SUMMARY

[0005] The purpose of the present application is to provide a fabricated steel structure welded joint quality identification detection method and device to realize the portability of the detection equipment in the fabricated steel structure welding scene and optimize the quality identification detection process of the welded joint.

[0006] In order to solve the above technical problems, the present application provides a fabricated steel structure welded joint quality identification detection device. In the technical solution of the present application, the fabricated steel structure welded joint quality identification detection device comprises a quality detector for acquiring detection information and a quality inspection computer for calculating detection results. The quality detector comprises an image sensor, an infrared thermal imager, a plurality of detection lamps, a laser adjuster and a signal transmitter. The image sensor is used to acquire external defect data of the welded joint. The image sensor is provided with a mounting ring on the periphery. The infrared thermal imager is used to acquire internal defect data of the welded joint. A plurality of detection lamps are arranged in a ring shape on the mounting ring on the periphery of the image sensor. The radius of the mounting ring is The laser adjuster is used for measuring the distance between the welding joint and the quality detector and automatically adjusting the light intensity of the plurality of detection lamps according to the distance, the laser adjuster comprises two rotating laser heads for generating measuring laser, the two rotating laser heads are symmetrically installed at two ends of the mounting ring, and the included angle between the rotating laser head and the plane where the mounting ring is located is The signal transmitter is used for transmitting the detection information acquired by the quality detector to the quality inspection computer, and the quality inspection computer comprises a signal receiver to receive the detection information transmitted by the quality detector.

[0007] Another aspect of the present application also provides a prefabricated steel structure welding joint quality identification detection method, in the technical scheme of the present application, a prefabricated steel structure welding joint quality identification detection device as described above is used, and the prefabricated steel structure welding joint quality identification detection method specifically comprises the following steps:

[0008] S1, detection information acquisition:

[0009] S1-1, adjust the laser adjuster, control the two rotating laser heads to rotate, wherein the rotating directions of the two rotating laser heads are opposite, the measuring laser generated by the two rotating laser heads intersects at the welding joint, and the included angle between the rotating laser head and the plane where the mounting ring is located when the measuring laser intersects at the welding joint is The distance between the welding joint and the quality detector is calculated And the light intensity of the detection lamp is automatically adjusted according to the distance ;

[0010] S1-2, acquire detection information, acquire external defect data of the welding joint through the image sensor, and acquire internal defect data of the welding joint through the infrared thermal imager;

[0011] S2, detection result calculation:

[0012] S2-1, detection information transmission, transmit the detection information acquired by the quality detector to the quality inspection computer through the signal transmitter, including the external defect data of the welding joint acquired through the image sensor, that is, image data, and the internal defect data of the welding joint acquired through the infrared thermal imager, that is, temperature data;

[0013] S2-2, detection information calculation, calculate the quality reliability of the welding joint according to the detection information.

[0014] Further, in the step S1-1, the included angle between the rotating laser head and the plane where the mounting ring is located when the measuring laser intersects at the welding joint is The distance between the welding joint and the quality detector is calculated Specifically, it comprises:

[0015] The calculation formula is:

[0016] ;

[0017] ;

[0018] In the formula: represents the distance between the welding node and the quality detector, represents the distance between the welding node and the detection lamp, represents the radius of the mounting ring, represents the angle between the rotating laser head and the plane of the mounting ring;

[0019] The distance between the welding node and the quality detector and the detection lamp is obtained.

[0020] The light intensity of the detection lamp is automatically adjusted according to the distance Specifically includes:

[0021] The calculation formula is:

[0022] ;

[0023] In the formula: represents the light intensity of the detection lamp, represents the required detection brightness at the welding node, represents the distance between the welding node and the detection lamp;

[0024] The required light intensity can be calculated according to the required detection brightness and the distance between the welding node and the detection lamp, and adjusted to the calculated light intensity That is.

[0025] Further, in the technical scheme of the present application, in the step S2-2, the quality reliability of the welding node is calculated according to the detection information, which specifically includes the following steps:

[0026] M1, the image data obtained by the image sensor, the quality inspection computer obtains the standard case with the highest similarity according to the welding area and the weld length of the welding node in the image data, which refers to the standard welding node with the highest similarity to the welding area and the weld length of the welding node in the image data, and obtains the standard image data and standard temperature data of the standard welding node;

[0027] M2, compare the image data and the temperature data with the standard image data and the standard temperature data, obtain the similarity of light and dark changes in the image data and the standard image data and the similarity of temperature changes in the temperature data and the standard temperature data through comparison, and calculate the uniformity;

[0028] M3, the quality reliability of the welding joint is determined according to the uniform degree.

[0029] Further, in the technical scheme of the present application, in the step M2, the light and dark change similarity in the image data and the standard image data refers to the similarity of the surface brightness change at the welding joint, and the temperature change similarity in the temperature data and the standard temperature data refers to the similarity of the temperature change at the welding joint.

[0030] The calculation of the uniform degree comprises:

[0031] The calculation formula is:

[0032] ;

[0033] In the formula: is expressed as the uniform degree, is expressed as the light and dark change similarity in the image data and the standard image data, is expressed as the temperature change similarity in the temperature data and the standard temperature data, , is a sample parameter.

[0034] Further, in the technical scheme of the present application, the , is determined by the following method:

[0035] According to the standard welding joint and the corresponding data of the unqualified welding joint in the group are obtained by polynomial solution , value:

[0036] The calculation formula is:

[0037] ;

[0038] In the formula: is expressed as the calculation uniform degree of the group, is expressed as the light and dark change similarity of the group, is expressed as the temperature change similarity of the group;

[0039] The range of the is determined according to the calculation of the :

[0040] .

[0041] Further, in the technical scheme of the present application, in the step M3, the quality reliability of the welding joint is determined according to the unified degree, which specifically comprises:

[0042] When the welding joint is reliable;

[0043] When the welding joint is unreliable.

[0044] Effective gain: in summary, the present application provides a prefabricated steel structure welding joint quality identification and detection device, in the technical scheme of the present application, the device uses a laser regulator to measure the distance between the welding joint and the quality detector and can automatically adjust the light intensity of the multiple detection lamps according to the distance, the laser regulator can adjust the rotation angle of itself and the detection lamp according to different positions, so that the quality identification and detection of the welding joint in different scenes and positions can be realized.

[0045] The present application provides a prefabricated steel structure welding joint quality identification and detection method, through the detection information obtained by the quality detector, including the external defect data of the welding joint obtained by the image sensor, i.e. image data, and the internal defect data of the welding joint obtained by the infrared thermal imager, i.e. temperature data, the unified degree is calculated by using the light and dark change similarity and temperature change similarity between the welding joint and the standard welding joint, the quality reliability of the welding joint is determined by the value of the calculated unified degree including multiple variable factors, compared with the traditional detection method, the quality identification and detection process of the welding joint is optimized.

[0046] Other features and advantages of the present application will be described in the following description. BRIEF DESCRIPTION OF DRAWINGS

[0047] In order to more clearly illustrate the embodiments of the present application, the drawings needed in the embodiments will be briefly introduced below, and obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0048] Figure 1 It is a use schematic view of the prefabricated steel structure welding joint quality identification and detection device of the present application;

[0049] Figure 2 It is a structure schematic view of the prefabricated steel structure welding joint quality identification and detection device of the present application;

[0050] Figure 3 It is a use principle diagram of the prefabricated steel structure welding joint quality identification and detection device of the present application;

[0051] In the figure: A, a welding joint to be detected; B, a quality detector; B1, an image sensor; B2, an infrared thermal imager; B3, a mounting ring; B4, a detection lamp; B4-1, a detection lamp rotating motor; B5, a rotating laser head; B5-1, a laser head rotating motor; B6, a control switch. DETAILED DESCRIPTION

[0052] In order to make the purpose, characteristics and advantages of the present application more obvious and easy to understand, the technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the embodiments described below are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0053] The core of the present application is to provide a kind of assembly type steel structure welding joint quality identification detection method and device, to realize the use portability of detection equipment in assembly type steel structure welding scene, and optimize the quality identification detection process of welding joint.

[0054] In order to solve the above technical problems, the present application embodiment proposes a kind of assembly type steel structure welding joint quality identification detection device, Figure 1 For the use schematic diagram of the assembly type steel structure welding joint quality identification detection device of the present application, as shown in Figure 1 The device includes a quality detector B for obtaining detection information and a quality inspection computer (not shown in the figure) for calculating detection results, and the quality detector B is used for quality identification and detection of the welding joint A to be detected, Figure 2 For the structural schematic diagram of the assembly type steel structure welding joint quality identification detection device of the present application, as shown in Figure 2 In the present embodiment, the quality detector B includes:

[0055] Image sensor B1, image sensor B1 is used to obtain external defect data of the welding joint A to be detected, and the periphery of image sensor B1 is provided with mounting ring B3;

[0056] Infrared thermal imager B2, infrared thermal imager B2 is used to obtain internal defect data of the welding joint A to be detected;

[0057] A plurality of detection lamps B4 are annularly and intervally arranged on the mounting ring B3 of the periphery of image sensor B1, and the plurality of detection lamps B4 can rotate, and the rotating direction of the plurality of detection lamps B4 is along the mounting ring B3 towards the center of the mounting ring B3, one side of the plurality of detection lamps B4 is provided with detection lamp rotating motor B4-1, and the detection lamp rotating motor B4-1 is used to control the detection lamp B4 to rotate;

[0058] The laser adjuster is used for measuring the distance between the welding joint A to be detected and the quality detector B and automatically adjusting the light intensity of the plurality of detection lamps B4 according to the distance, and comprises two rotating laser heads B5 used for generating measuring lasers, the two rotating laser heads B5 are symmetrically installed at two ends of the mounting ring B3 and can rotate, one side of each of the rotating laser heads B5 is provided with a laser head rotating motor B5-1, and the laser head rotating motor B5-1 is used for controlling the rotating laser head B5 to rotate.

[0059] A signal transmitter (not shown in the figure) is used for sending the detection information acquired by the quality detector B to the quality inspection computer.

[0060] The control switch B6 controls the laser head rotating motor B5-1 and the detection lamp rotating motor B4-1 to drive the rotating laser head B5 and the detection lamp B4 to rotate, and it needs to be noted that the rotating angles of the rotating laser head B5 and the detection lamp B4 are always consistent, so the adjustment of the direction of the measuring laser generated by the rotating laser head B5 can be completed at the same time as the adjustment of the light direction of the detection lamp B4.

[0061] Specifically, Figure 3 The use principle diagram of the assembly type steel structure welding joint quality identification detection device is shown in Figure 2 and Figure 3 , the radius of the mounting ring B3 is , and the included angle between the rotating laser head B5 and the plane where the mounting ring B3 is located is .

[0062] Specifically, the quality inspection computer further comprises a signal receiver (not shown in the figure) to receive the detection information sent by the quality detector B.

[0063] The embodiment also provides an assembly type steel structure welding joint quality identification detection method, which adopts the assembly type steel structure welding joint quality identification detection device described in the embodiment, and specifically comprises the following steps:

[0064] S1, detection information acquisition:

[0065] S1-1, adjust the laser adjuster, control the two rotating laser heads B5 to rotate through the control switch B6, the rotating directions of the two rotating laser heads B5 are opposite, the measuring lasers generated by the two rotating laser heads B5 intersect at the welding joint A to be detected (for reference to Figure 3 ), the distance between the welding joint A to be detected and the quality detector B is calculated according to the included angle between the rotating laser head B5 and the plane where the mounting ring B3 is located when the measuring lasers intersect at the welding joint A to be detected , and the light intensity of the detection lamp B4 is automatically adjusted according to the distance It should be noted that when the two rotating laser heads B5 are controlled to rotate by controlling the switch B6, the detection lamp B4 also rotates, and when the measurement laser generated by the two rotating laser heads B5 intersects at the to-be-detected welding joint A, the light direction of the plurality of detection lamps B4 also intersects at the to-be-detected welding joint A;

[0066] S1-2, acquiring detection information, acquiring external defect data of the to-be-detected welding joint A through the image sensor B1, and acquiring internal defect data of the to-be-detected welding joint A through the infrared thermal imager B2;

[0067] S2, detection result calculation:

[0068] S2-1, detection information sending, sending the detection information acquired by the quality detector B to the quality inspection computer through the signal transmitter, including the external defect data of the to-be-detected welding joint A acquired through the image sensor B1, that is, image data, and the internal defect data of the to-be-detected welding joint A acquired through the infrared thermal imager B2, that is, temperature data;

[0069] S2-2, detection information calculation, calculating the quality reliability of the to-be-detected welding joint A according to the detection information.

[0070] In step S1-1, the included angle between the rotating laser head B5 and the plane where the mounting ring B3 is located when the measurement laser intersects at the to-be-detected welding joint A is The distance between the to-be-detected welding joint A and the quality detector B is calculated Specifically includes:

[0071] The calculation formula is:

[0072] ;

[0073] ;

[0074] In the formula: is the distance between the to-be-detected welding joint A and the quality detector B, is the distance between the to-be-detected welding joint A and the detection lamp B4, is the radius of the mounting ring, is the included angle between the rotating laser head B5 and the plane where the mounting ring B3 is located;

[0075] That is, the distance between the to-be-detected welding joint A and the quality detector B and the detection lamp B4 is obtained;

[0076] Wherein, the light intensity of the detection lamp B4 is automatically adjusted according to the distance Specifically includes:

[0077] The calculation formula is:

[0078] ;

[0079] In the formula: represents the light intensity of the detection lamp B4, represents the required detection brightness at the welding node A to be detected, represents the distance between the welding node A to be detected and the detection lamp B4.

[0080] That is, the required light brightness can be calculated according to the required detection brightness and the distance between the welding node A to be detected and the detection lamp B4, and adjusted to the calculated light brightness That is.

[0081] In the embodiment, in step S2-2, the quality reliability of the welding node A to be detected calculated according to the detection information specifically includes the following steps:

[0082] M1, the image data acquired by the image sensor, the quality inspection computer acquires the standard case with the highest similarity according to the welding area and the weld length of the welding node A to be detected in the image data, the standard case refers to the standard welding node with the highest similarity to the welding area and the weld length of the welding node in the image data, and acquires the standard image data and the standard temperature data of the standard welding node;

[0083] M2, comparing the image data and the temperature data with the standard image data and the standard temperature data, obtaining the similarity of the light and dark changes in the image data and the standard image data and the similarity of the temperature changes in the temperature data and the standard temperature data through comparison, and calculating the uniformity degree;

[0084] M3, determining the quality reliability of the welding node A to be detected according to the uniformity degree.

[0085] Specifically, in step M2, the similarity of the light and dark changes in the image data and the standard image data refers to the similarity of the change of the surface brightness at the welding node A to be detected, wherein the surface roughness, surface cavities and other welding defects of the welding node A to be detected will cause differences in the surface light brightness at the welding node, which can be used to judge the welding effect, and the numerical value of the similarity is calculated by the area ratio. In addition, the similarity of the temperature changes in the temperature data and the standard temperature data refers to the similarity of the temperature changes at the welding node A to be detected, wherein the internal cavities and other welding defects of the welding node A to be detected will also cause differences in the temperature changes, which can be used to judge the welding effect, and the numerical value of the similarity is calculated by the area ratio.

[0086] Among them, the calculation of the uniformity degree includes:

[0087] The calculation formula is:

[0088] ;

[0089] In the formula: is expressed as a unified degree, is expressed as a light and dark change similarity between the image data and the standard image data, is expressed as a temperature change similarity between the temperature data and the standard temperature data, , is a sample parameter.

[0090] Specifically, , is determined by the following method:

[0091] According to the standard welding node and the corresponding to the standard welding node , of the group of unqualified welding nodes, the value of

[0092] is obtained by polynomial solution:

[0093] ;

[0094] In the formula: is expressed as a unified degree of the group, is expressed as a light and dark change similarity of the group, is expressed as a temperature change similarity of the group;

[0095] At the same time, according to the calculated , the range of is determined:

[0096] .

[0097] In step M3, the quality reliability of the welding node A to be detected is determined according to the unified degree, which specifically includes:

[0098] When

[0099] , the welding node is unreliable, that is, the light and dark change and the temperature change at the welding node A to be detected are greatly different from the standard welding node.

[0100] The above shows and describes the basic principles, main features and advantages of the present application. Those skilled in the art should understand that the present application is not limited to the above-mentioned embodiments, and the above-mentioned embodiments and descriptions in the specification are only preferred examples of the present application and are not intended to limit the present application. Various changes and improvements can be made to the present application without departing from the spirit and scope of the present application, and these changes and improvements all fall within the scope of the claimed present application. The scope of protection of the present application is defined by the appended claims and their equivalents.

Claims

1. A method for identifying and detecting the quality of welded joints in assembled steel structures, characterized in that A quality identification and detection device for welded joints of assembled steel structures is used. The detection device includes a quality detector for acquiring detection information and a quality inspection computer for calculating detection results. The quality detector includes: An image sensor, used to acquire external defect data of the welding node, wherein a mounting ring is provided around the periphery of the image sensor; Infrared thermal imager, used to obtain internal defect data of welding nodes; a plurality of detection lights, arranged in an annular manner and spaced apart on a mounting ring around the image sensor; a laser adjuster for measuring the distance between the weld node and the quality detector and automatically adjusting the illumination intensity of the multiple detection lamps according to the distance, the laser adjuster comprising two rotating laser heads for generating measurement lasers, the two rotating laser heads being symmetrically mounted at both ends of the mounting ring; A signal transmitter, configured to send the detection information acquired by the quality detector to the quality inspection computer; The detection method specifically comprises the following steps: S1. Acquisition of test information: S1-1. Adjust the laser regulator to control the two rotating laser heads to rotate. The two rotating laser heads rotate in opposite directions so that the measuring lasers generated by the two rotating laser heads intersect at the welding node. According to the angle between the rotating laser heads and the plane where the mounting ring is located when the measuring lasers intersect at the welding node, Calculate the distance between the welding node and the quality inspection instrument and the distance between the welding node and the inspection light , and according to the distance Automatically adjust the light intensity of the detection lamp ; S1-2, obtaining detection information, obtaining external defect data of the welding node through an image sensor, and obtaining internal defect data of the welding node through an infrared thermal imager; S2. Calculation of test results: S2-1. Sending detection information: Sending detection information obtained by the quality detector to the quality inspection computer via a signal transmitter, including external defect data of the welding node obtained by the image sensor, i.e., image data, and internal defect data of the welding node obtained by the infrared thermal imager, i.e., temperature data; S2-2, detection information calculation, calculates the quality reliability of the welding node based on the detection information, specifically including the following steps: M1. Image data acquired by the image sensor. The quality inspection computer obtains the most similar standard case based on the weld area and weld length of the weld node in the image data. The standard case refers to the standard weld node with the most similar weld area and weld length to the weld node in the image data, and obtains standard image data and standard temperature data of the standard weld node. M2. Compare the image data and temperature data with the standard image data and standard temperature data, obtain the similarity of light and dark changes between the image data and the standard image data, and the similarity of temperature changes between the temperature data and the standard temperature data, and calculate the uniformity; M3. Determine the quality reliability of the welded joints based on the uniformity; In step M2, the similarity of brightness changes between the image data and the standard image data refers to the similarity of changes in surface brightness at the welding node, and the similarity of temperature changes between the temperature data and the standard temperature data refers to the similarity of temperature changes at the welding node; Calculating the uniformity includes: Calculation formula: ； Where: Expressed as unity, It is expressed as the similarity of light and dark changes between image data and standard image data, and it is expressed as the similarity of temperature changes between temperature data and standard temperature data. 、 is the sample parameter; described 、 Determined by: According to the standard welding node and the corresponding The relevant data of the group of unqualified welding nodes are obtained by solving the polynomial 、 Value: Calculation formula: ； Where: Expressed as The calculated uniformity of the group, Expressed as The similarity of the light and dark changes of the group, Expressed as Similarity of temperature changes among groups; At the same time, according to the calculated Sure Range: 。 2. A method for identifying and detecting quality of welded joints of assembled steel structures according to claim 1, characterized in that: The radius of the mounting ring is , the angle between the rotating laser head and the plane where the mounting ring is located is .

3. The method for identifying and detecting quality of welded joints of assembled steel structures according to claim 1, characterized in that: The quality inspection computer includes a signal receiver to receive the inspection information sent by the quality inspection instrument.

4. A method for identifying and detecting quality of welded joints of assembled steel structures according to claim 2, characterized in that: In step S1-1, the angle between the laser head and the plane where the mounting ring is located is rotated according to the measurement of the laser intersection at the welding node. Calculate the distance between the welding node and the quality inspection instrument Specifically include: Calculation formula: ； ； Where: Expressed as the distance between the welding node and the quality detector, Expressed as the distance between the welding node and the detection light, Expressed as the radius of the mounting ring, It is expressed as the angle between the rotating laser head and the plane where the mounting ring is located; That is, the distance between the welding node and the quality detector and the detection light is obtained; The illumination intensity of the detection light is automatically adjusted according to the distance Specifically include: Calculation formula: ； Where: It is expressed as the light intensity of the detection lamp, Indicates the required inspection brightness at the welding node. Expressed as the distance between the welding node and the detection light; That is, the required light brightness can be calculated based on the required detection brightness and the distance between the welding node and the detection light, and adjusted to the calculated light brightness. That's it.

5. A method for identifying and detecting quality of welded joints of assembled steel structures according to claim 4, characterized in that: In step M3, determining the quality reliability of the welded joint according to the uniformity specifically includes: When welding, the joints are reliable; When the welding joints are unreliable.

Images