Fabricated steel structure welding joint quality identification and detection method and device

Abstract

The invention discloses a method and a device for identifying and detecting the quality of a welding node of an assembled steel structure, the device comprises a quality detector and a quality inspection computer, the quality detector comprises an image sensor, an infrared thermal imager, a plurality of detection lamps, a laser regulator and a signal transmitter, the periphery of the image sensor is provided with a mounting ring, and the mounting ring is provided with a plurality of detection lamps. The multiple detection lamps are annularly arranged on the mounting ring at intervals, the laser regulator comprises two rotating laser heads used for generating measurement laser, and the two rotating laser heads are symmetrically mounted at the two ends of the mounting ring; the signal transmitter is used for transmitting detection information acquired by the quality detector to the quality inspection computer, and the quality inspection computer comprises a signal receiver for receiving the detection information transmitted by the quality detector; according to the invention, the use portability of the welding node detection equipment can be improved in the welding scene of the assembly type steel structure, and the quality identification and detection process of the welding node can be optimized.

Description

Technical Field

[0001] The present invention relates to the technical field of welding node detection, and in particular to a method and a device for identifying and detecting the quality of welding nodes of assembled steel structures. Background Art

[0002] In steel structure buildings and bridges, welding nodes play a key role in connecting various structural components and transferring loads. For example, the steel box girder connection nodes of large bridges and the steel structure frame nodes of high-rise buildings. If there are quality defects such as cracks and incomplete penetration in the welding nodes, the defects may gradually expand under the long-term external forces such as vehicle loads, wind force, and earthquake force, resulting in a decrease in the bearing capacity of the nodes, and ultimately causing local damage to the structure or even overall collapse, seriously threatening the safety of life and property.

[0003] In the existing non-destructive testing technology of welding nodes, appearance testing, ultrasonic testing, infrared testing and other testing methods are usually used. However, the existing welding node testing equipment is usually cumbersome to use and has high requirements for use. In some welding scenarios of steel structure buildings, the position of the welding node is usually uncontrollable, that is, the position is variable and may also appear in some places where it is inconvenient to set up testing equipment. Therefore, the use of existing testing equipment and testing methods has certain inconveniences.

[0004] The information disclosed in this background technology section is only intended to enhance the understanding of the overall background of the invention and should not be regarded as an acknowledgment or any form of suggestion that the information constitutes the prior art already known to a person skilled in the art. Summary of the invention

[0005] The purpose of the present invention is to provide a method and device for quality identification and detection of welded nodes of prefabricated steel structures, so as to achieve the portability of the detection equipment in the welding scene of prefabricated steel structures and optimize the quality identification and detection process of welded nodes.

[0006] In order to solve the above technical problems, the present invention provides, on the one hand, a quality identification and detection device for welding nodes of assembled steel structures. In the technical solution of the present invention, the quality identification and detection device for welding nodes of assembled steel structures includes a quality detector for obtaining detection information and a quality inspection computer for calculating detection results. The quality detector includes an image sensor, an infrared thermal imager, a plurality of detection lights, a laser regulator and a signal transmitter. The image sensor is used to obtain external defect data of welding nodes. A mounting ring is arranged on the periphery of the image sensor. The infrared thermal imager is used to obtain internal defect data of welding nodes. A plurality of the detection lights are arranged at annular intervals on the mounting ring on the periphery of the image sensor. The radius of the mounting ring is The laser regulator is used to measure the distance between the welding node and the quality detector and automatically adjust the illumination intensity of the multiple detection lamps according to the distance. The laser regulator includes two rotating laser heads for generating measuring lasers. The two rotating laser heads are symmetrically mounted at both ends of the mounting ring. The angle between the rotating laser head and the plane where the mounting ring is located is The signal transmitter is used to send the detection information obtained by the quality detector to the quality inspection computer, and the quality inspection computer includes a signal receiver to receive the detection information sent by the quality detector.

[0007] Another aspect of the present invention further provides a method for identifying and detecting the quality of welded nodes of assembled steel structures. In the technical solution of the present invention, a device for identifying and detecting the quality of welded nodes of assembled steel structures as described above is used. The method for identifying and detecting the quality of welded nodes of assembled steel structures 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 measurement 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 measurement lasers intersect at the welding node, Calculate the distance between the welding node and the quality inspection instrument And automatically adjust the light intensity of the detection light according to the distance ; 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 the detection information obtained by the quality detector to the quality inspection computer through the signal transmitter, including obtaining the external defect data of the welding node through the image sensor, that is, the image data, including obtaining the internal defect data of the welding node through the infrared thermal imager, that is, the temperature data; S2-2, calculate the inspection information, calculate the quality reliability of the welding node based on the inspection information.

[0008] Furthermore, in the technical solution of the present invention, in the step S1-1, the angle between the laser head and the plane where the mounting ring is located is rotated according to the measurement 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, It is 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 lamp is automatically adjusted according to the distance Specifically include: Calculation formula: ; Where: It is expressed as the light intensity of the detection lamp, It is the required inspection brightness at the welding node. It is expressed as the distance between the welding node and the detection light; That is, the required light brightness can be calculated according to 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.

[0009] Furthermore, in the technical solution of the present invention, in the step S2-2, calculating the quality reliability of the welding node according to the detection information specifically includes the following steps: M1. The image data is acquired by the image sensor. The quality inspection computer acquires the standard case with the highest similarity according to the welding area and weld length of the welding node in the image data. The standard case refers to the standard welding node with the highest similarity to the welding area and weld length of the welding node in the image data, and acquires the standard image data and standard temperature data of the standard welding 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 through comparison, and calculate the uniformity; M3. Determine the quality reliability of welding nodes based on uniformity.

[0010] Further, in the technical solution of the present invention, in the step M2, the similarity of light and dark 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 between the brightness and darkness changes in the image data and the standard image data. It is expressed as the similarity of temperature change between temperature data and standard temperature data. , are sample parameters.

[0011] Further, in the technical solution of the present invention, the , 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 , Values: 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 of groups; At the same time, according to the calculated Sure Range: .

[0012] Further, in the technical solution of the present invention, in the step M3, determining the quality reliability of the welding node according to the uniformity specifically includes: When welding, the joints are reliable; When welding, the joints are unreliable.

[0013] Effective gain: In summary, the present invention provides, on one hand, a device for identifying and detecting the quality of welded nodes of assembled steel structures. In the technical solution of the present invention, the device uses a laser regulator to measure the distance between the welded node and the quality detector and can automatically adjust the light intensity of multiple detection lamps according to the distance. The laser regulator can adjust the rotation angle of the laser regulator and the detection lamp according to different positions, so as to realize the quality identification and detection of welded nodes in different scenes and different positions. On the other hand, the present invention provides a method for quality identification and detection of welded nodes of prefabricated steel structures. The detection information obtained by the quality detector includes external defect data of the welding nodes obtained by the image sensor, i.e., image data, and internal defect data of the welding nodes obtained by the infrared thermal imager, i.e., temperature data. The uniformity is calculated by using the similarity of light and dark changes and temperature changes between the welding nodes and the standard welding nodes. The quality reliability of the welding nodes is determined by the calculated value of the uniformity including multivariate factors. Compared with traditional detection methods, the quality identification and detection process of the welding nodes is optimized.

[0014] Other features and advantages of the present invention will be set forth in the description which follows. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 This is a schematic diagram of the use of a device for identifying and detecting quality of welded nodes of assembled steel structures according to the present invention; Figure 2 This is a schematic structural diagram of a device for identifying and detecting quality of welded nodes of assembled steel structures according to the present invention; Figure 3 This is a schematic diagram of the use of a quality identification and detection device for welded nodes of assembled steel structures according to the present invention; In the figure: A, welding node to be inspected; B, quality inspection instrument; B1, image sensor; B2, infrared thermal imager; B3, mounting ring; B4, inspection light; B4-1, inspection light rotation motor; B5, rotating laser head; B5-1, laser head rotation motor; B6, control switch. DETAILED DESCRIPTION

[0017] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] The core of the present invention is to provide a method and device for quality identification and detection of welded nodes of prefabricated steel structures, so as to realize the portability of the detection equipment in the welding scene of prefabricated steel structures, and optimize the quality identification and detection process of welded nodes.

[0019] In order to solve the above technical problems, the present invention provides a device for identifying and detecting the quality of welded nodes of assembled steel structures. Figure 1 The schematic diagram of the use of a device for identifying and detecting quality of welded joints of assembled steel structures according to the present invention is as follows: Figure 1 As shown, the device includes a quality detector B for obtaining detection information and a quality inspection computer (not shown in the figure) for calculating the detection results. The quality detector B is used to identify and inspect the quality of the welding node A to be inspected. Figure 2 This is a schematic diagram of the structure of a device for identifying and detecting quality of welded joints of assembled steel structures according to the present invention. Figure 2 As shown, in this embodiment, the quality detector B includes: An image sensor B1, the image sensor B1 is used to obtain external defect data of the welding node A to be detected, and a mounting ring B3 is provided on the periphery of the image sensor B1; Infrared thermal imager B2, infrared thermal imager B2 is used to obtain internal defect data of the welding node A to be inspected; A plurality of detection lights B4 are arranged in annular intervals on a mounting ring B3 on the periphery of the image sensor B1, and the plurality of detection lights B4 can rotate, and the rotation direction is along the mounting ring B3 toward the center of the mounting ring B3, and a detection light rotating motor B4-1 is arranged on one side of the plurality of detection lights B4, and the detection light rotating motor B4-1 is used to control the detection lights B4 to rotate; A laser regulator is used to measure the distance between the welding node A to be inspected and the quality detector B and automatically adjust the light intensity of multiple inspection lamps B4 according to the distance. The laser regulator includes two rotating laser heads B5 for generating measuring lasers. The two rotating laser heads B5 are symmetrically mounted at both ends of the mounting ring B3, and the rotating laser heads B5 can rotate. A laser head rotating motor B5-1 is provided on one side of the rotating laser head B5. The laser head rotating motor B5-1 is used to control the laser head B5 to rotate; A signal transmitter (not shown in the figure) is used to send the detection information obtained by the quality detector B to the quality inspection computer; Control switch B6, control the laser head rotating motor B5-1 and the detection light rotating motor B4-1 to drive the rotating laser head B5 and the detection light B4 to rotate. It should be noted that the rotation angles of the rotating laser head B5 and the detection light B4 are always kept consistent. Therefore, the direction of the detection light B4 can be adjusted while adjusting the direction of the measuring laser generated by the rotating laser head B5.

[0020] Specifically, Figure 3 This is a schematic diagram of the use of a quality identification and detection device for assembled steel structure welding nodes of the present invention, such as Figure 2 and Figure 3 As shown, the radius of the mounting ring B3 is , the angle between the rotating laser head B5 and the plane where the mounting ring B3 is located is .

[0021] Specifically, the quality inspection computer also includes a signal receiver (not shown in the figure) to receive the inspection information sent by the quality inspection instrument B.

[0022] This embodiment also provides a method for identifying and detecting the quality of welded nodes of assembled steel structures, using a device for identifying and detecting the quality of welded nodes of assembled steel structures as described in this embodiment, specifically comprising the following steps: S1. Acquisition of test information: S1-1, adjust the laser regulator, and control the two rotating laser heads B5 to rotate by controlling the switch B6, wherein the two rotating laser heads B5 rotate in opposite directions, so that the measuring lasers generated by the two rotating laser heads B5 intersect at the welding node A to be detected (refer to Figure 3 ), according to the angle between the laser head B5 and the plane where the mounting ring B3 is located when the measuring laser intersects at the welding node A to be detected Calculate the distance between the welding node A to be inspected and the quality inspection instrument B And automatically adjust the light intensity of the detection light B4 according to the distance It should be noted that, while the two rotating laser heads B5 are controlled to rotate by the control switch B6, the detection lamp B4 is rotated at the same time, and when the measurement lasers generated by the two rotating laser heads B5 intersect at the welding node A to be detected, the light directions of the multiple detection lamps B4 also intersect at the welding node A to be detected; S1-2, obtaining detection information, obtaining external defect data of the welding node A to be detected by using the image sensor B1, and obtaining internal defect data of the welding node A to be detected by using the infrared thermal imager B2; S2. Calculation of test results: S2-1, sending detection information, sending the detection information obtained by the quality detector B to the quality inspection computer through the signal transmitter, including the external defect data of the welding node A to be detected obtained by the image sensor B1, that is, the image data, and the internal defect data of the welding node A to be detected obtained by the infrared thermal imager B2, that is, the temperature data; S2-2, calculating the detection information, calculating the quality reliability of the welding node A to be detected based on the detection information.

[0023] Among them, in step S1-1, the angle between the laser head B5 and the plane where the mounting ring B3 is located is rotated according to the intersection of the measuring laser at the welding node A to be detected. Calculate the distance between the welding node A to be inspected and the quality inspection instrument B Specifically include: Calculation formula: ; ; Where: It is expressed as the distance between the welding node A to be inspected and the quality inspection instrument B. It is represented by the distance between the welding node A to be detected and the detection light B4, Expressed as the radius of the mounting ring, It is expressed as the angle between the rotating laser head B5 and the plane where the mounting ring B3 is located; That is, the distance between the welding node A to be inspected and the quality inspection instrument B and the inspection light B4 is obtained; The light intensity of the detection light B4 is automatically adjusted according to the distance. Specifically include: Calculation formula: ; Where: It is expressed as the light intensity of the detection lamp B4, It is the required detection brightness at the welding node A to be detected. It is represented as the distance between the welding node A to be inspected and the inspection light B4; 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's it.

[0024] In this embodiment, in step S2-2, calculating the quality reliability of the welding node A to be detected according to the detection information specifically includes the following steps: M1. 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 weld length of the welding node A to be inspected in the image data. The standard case refers to the standard welding node with the highest similarity to the welding area and weld length of the welding node in the image data, and acquires the standard image data and standard temperature data of the standard welding 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 through comparison, and calculate the uniformity; M3. Determine the quality reliability of the welding node A to be tested based on the uniformity.

[0025] Specifically, in step M2, the similarity of light and dark changes in the image data and the standard image data refers to the similarity of changes in surface brightness at the welding node A to be detected, wherein welding defects such as surface roughness and surface voids of the welding node A to be detected will cause differences in surface brightness at the welding node, and the difference 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 temperature changes in the temperature data and the standard temperature data refers to the similarity of temperature changes at the welding node A to be detected, wherein welding defects such as internal voids of the welding node A to be detected will also cause differences in temperature changes, and the difference can be used to judge the welding effect, and the numerical value of the similarity is calculated by the area ratio; The calculation of uniformity includes: Calculation formula: ; Where: Expressed as unity, It is expressed as the similarity between the brightness and darkness changes in the image data and the standard image data. It is expressed as the similarity of temperature change between temperature data and standard temperature data. , are sample parameters.

[0026] Specifically, , 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 , Values: 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 of groups; At the same time, according to the calculated Sure Range: .

[0027] In step M3, determining the quality reliability of the welding node A to be inspected according to the uniformity specifically includes: When , the welding node is reliable, that is, the light and dark changes and temperature changes at the welding node A to be tested are close to those of the standard welding node; When the welding node is unreliable, the light and dark changes and temperature changes at the welding node A to be detected are quite different from those of the standard welding node.

[0028] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and descriptions are only preferred examples of the present invention and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A quality identification and detection device for welded joints of assembled steel structures, characterized in that: It includes a quality detector for obtaining detection information and a quality inspection computer for calculating the detection results, and the quality detector includes: An image sensor, used to obtain external defect data of a welding node, wherein a mounting ring is disposed on the periphery of the image sensor; Infrared thermal imager, used to obtain internal defect data of welding nodes; A plurality of detection lights are arranged in an annular manner at intervals on a mounting ring around the image sensor; A laser regulator, used to measure the distance between the welding node and the quality detector and automatically adjust the illumination intensity of the multiple detection lamps according to the distance, the laser regulator includes two rotating laser heads for generating measuring lasers, and the two rotating laser heads are symmetrically mounted at both ends of the mounting ring; A signal transmitter is used to send the detection information obtained by the quality detector to the quality inspection computer.

2. The device for identifying and detecting quality of welded joints of assembled steel structures according to claim 1 is 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 device for identifying and detecting quality of welded joints of assembled steel structures according to claim 1 is 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 the quality of welded nodes of assembled steel structures, characterized in that , using a prefabricated steel structure welding node quality identification and detection device as described in claims 1-3, specifically comprising 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 measurement 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 measurement lasers intersect at the welding node, Calculate the distance between the welding node and the quality inspection instrument And automatically adjust the light intensity of the detection light according to the distance ; 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 the detection information obtained by the quality detector to the quality inspection computer through the signal transmitter, including obtaining the external defect data of the welding node through the image sensor, that is, the image data, including obtaining the internal defect data of the welding node through the infrared thermal imager, that is, the temperature data; S2-2, calculate the inspection information, calculate the quality reliability of the welding node based on the inspection information.

5. A method for identifying and detecting quality of welded nodes of assembled steel structures according to claim 4, 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 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, It is 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 lamp is automatically adjusted according to the distance Specifically include: Calculation formula: ; Where: It is expressed as the light intensity of the detection lamp, It is the required inspection brightness at the welding node. It is expressed as the distance between the welding node and the detection light; That is, the required light brightness can be calculated according to 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.

6. A method for identifying and detecting quality of welded nodes of assembled steel structures according to claim 4, characterized in that: In step S2-2, calculating the quality reliability of the welding node according to the detection information specifically includes the following steps: M1. The image data is acquired by the image sensor. The quality inspection computer acquires the standard case with the highest similarity according to the welding area and weld length of the welding node in the image data. The standard case refers to the standard welding node with the highest similarity to the welding area and weld length of the welding node in the image data, and acquires the standard image data and standard temperature data of the standard welding 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 through comparison, and calculate the uniformity; M3. Determine the quality reliability of welding nodes based on uniformity.

7. A method for identifying and detecting quality of welded nodes of assembled steel structures according to claim 6, characterized in that: In the 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 between the brightness and darkness changes in the image data and the standard image data. It is expressed as the similarity of temperature change between temperature data and standard temperature data. , are sample parameters.

8. A method for identifying and detecting quality of welded nodes of assembled steel structures according to claim 7, characterized in that: Said , 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 , Values: 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 of groups; At the same time, according to the calculated Sure Range: 。 9. A method for identifying and detecting quality of welded nodes of assembled steel structures according to claim 8, characterized in that: In the step M3, determining the quality reliability of the welding node according to the uniformity specifically includes: When welding, the joints are reliable; When welding, the joints are unreliable.

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