Weld detection methods, devices and equipment
By obtaining the distance and position between the abnormal signal and the weld centerline during weld detection, and combining the signal position and weld width, the processor distinguishes between flash signals and defect signals, solving the problem of difficulty in distinguishing in existing technologies and improving detection accuracy.
Patent Information
- Application Number
- CN202210242209.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-03-11
- Publication Date
- 2025-09-16
- Estimated Expiration
- 2042-03-11
AI Technical Summary
In weld inspection, existing technologies have difficulty distinguishing between flash signals and defect signals, resulting in poor detection accuracy.
By obtaining the distance and position between the abnormal signal and the weld centerline in the scanned image, combined with the weld width and signal position, the processor is used to distinguish between the flash signal and the defect signal, and the defect signal is displayed on the screen.
It improves the accuracy of weld detection, reduces the need for manual identification, and improves the reliability of detection results.
Smart Images

Figure CN114660177B_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of rail transit manufacturing, and in particular to a weld detection method, device and equipment. Background Art
[0002] When manufacturing mechanical workpieces, welding is usually used to connect the mechanical workpieces, and the mechanical workpieces are inspected using methods such as ultrasonic phased array.
[0003] In related technologies, ultrasonic phased arrays are used to inspect welds on mechanical workpieces. Scanning images can be obtained and used to determine whether the welds are defective. However, due to the presence of flash around welds, it is difficult to distinguish between flash and defect signals in the scanned images, resulting in poor detection accuracy. Summary of the Invention
[0004] The embodiments of the present application provide a weld detection method, device and equipment to improve the accuracy of detection.
[0005] In a first aspect, an embodiment of the present application provides a weld detection method, comprising:
[0006] Acquire a scanned image obtained by scanning a weld of a first object with a scanner;
[0007] When it is determined that an abnormal signal exists in the scanned image, determining a first weld centerline in the scanned image;
[0008] Acquire a first distance between the abnormal signal and the first weld centerline, and a signal position of the abnormal signal in the scanned image;
[0009] determining a signal type of the abnormal signal according to the first distance and the signal position, the signal type being a flash signal or a defect signal;
[0010] When it is determined that the signal type of the abnormal signal is a defect signal, the defect signal is displayed on a display screen of the scanner.
[0011] In a possible implementation, determining the signal type of the abnormal signal according to the first distance and the signal position includes:
[0012] Get the weld width;
[0013] If the first distance is less than or greater than half of the weld width, determining that the signal type of the abnormal signal is a defect signal;
[0014] If the first distance is equal to half the weld width, the signal type of the abnormal signal is determined according to the signal position.
[0015] In a possible implementation, the scanned image includes a primary wave region and a secondary wave region; and determining the signal type of the abnormal signal according to the signal position includes:
[0016] If the abnormal signal is located in the secondary wave region, determining that the signal type of the abnormal signal is the fin signal;
[0017] If the upper endpoint of the abnormal signal is located in the primary wave region and the lower endpoint of the abnormal signal is located in the secondary wave region, it is determined that the signal type of the abnormal signal is the defect signal.
[0018] In a possible implementation, determining the first weld centerline in the scanned image includes:
[0019] Acquire a test centerline position, where the test centerline position is obtained by testing a test object corresponding to the first object during a test phase;
[0020] The first weld centerline is determined in the scanned image according to the test centerline position.
[0021] In a possible implementation, before obtaining the test centerline position, the method further includes:
[0022] Acquire a test image obtained by scanning the test object with the scanner, wherein the test object includes a weld, and a rectangular groove is provided at the center of the weld;
[0023] Adjust the distance between the scanner and the weld center of the test object until the rectangular slot image in the test image is located on a second weld center line, determine the distance between the scanner and the weld center of the test object as the target distance, and determine the position of the second weld center line in the test image as the test center line position; wherein the second weld center line is the image of the weld center of the test object in the test image.
[0024] In a possible implementation, the distance between the scanner and the center of the weld of the first object is the target distance.
[0025] In a second aspect, an embodiment of the present application provides a weld detection device, comprising: a first acquisition module, a first determination module, a second acquisition module, a second determination module, and a display module, wherein:
[0026] The first acquisition module is used to acquire a scanned image obtained by scanning the weld of the first object with a scanner;
[0027] The first determining module is configured to determine a first weld centerline in the scanned image when determining that an abnormal signal exists in the scanned image;
[0028] The second acquisition module is used to acquire a first distance between the abnormal signal and the first weld centerline, and a signal position of the abnormal signal in the scanned image;
[0029] The second determining module is configured to determine a signal type of the abnormal signal according to the first distance and the signal position, the signal type being a flash signal or a defect signal;
[0030] The display module is configured to display the defect signal on a display screen of the scanner when it is determined that the signal type of the abnormal signal is a defect signal.
[0031] In a possible implementation manner, the second determining module is specifically configured to:
[0032] Get the weld width;
[0033] If the first distance is less than or greater than half of the weld width, determining that the signal type of the abnormal signal is a defect signal;
[0034] If the first distance is equal to half the weld width, the signal type of the abnormal signal is determined according to the signal position.
[0035] In a possible implementation manner, the second determining module is specifically configured to:
[0036] If the abnormal signal is located in the secondary wave region, determining that the signal type of the abnormal signal is the fin signal;
[0037] If the upper endpoint of the abnormal signal is located in the primary wave region and the lower endpoint of the abnormal signal is located in the secondary wave region, it is determined that the signal type of the abnormal signal is the defect signal.
[0038] In a possible implementation manner, the first determining module is specifically configured to:
[0039] Acquire a test centerline position, where the test centerline position is obtained by testing a test object corresponding to the first object during a test phase;
[0040] The first weld centerline is determined in the scanned image according to the test centerline position.
[0041] In a possible implementation manner, the first determining module is specifically configured to:
[0042] Acquire a test image obtained by scanning the test object with the scanner, wherein the test object includes a weld, and a rectangular groove is provided at the center of the weld;
[0043] Adjust the distance between the scanner and the weld center of the test object until the rectangular slot image in the test image is located on a second weld center line, determine the distance between the scanner and the weld center of the test object as the target distance, and determine the position of the second weld center line in the test image as the test center line position; wherein the second weld center line is the image of the weld center of the test object in the test image.
[0044] In a possible implementation, the distance between the scanner and the center of the weld of the first object is the target distance.
[0045] In a third aspect, an embodiment of the present application provides a computer device, including: a processor and a memory;
[0046] The memory stores computer-executable instructions;
[0047] The processor executes the computer-executable instructions stored in the memory, so that the processor executes the weld detection method described in any one of the first aspects.
[0048] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the weld detection method described in any one of the first aspects.
[0049] In a fifth aspect, an embodiment of the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the weld detection method shown in any one of the first aspects.
[0050] The embodiments of the present application provide a weld detection method, device, and equipment, in which the processor can determine the position of the test center line in the test image and the target distance between the scanner and the second weld center line through the test object. The processor can adjust the distance between the scanner and the first weld center line in the first object according to the target distance, and determine the position of the first weld center line in the scanned image according to the position of the test center line. The processor can determine the first distance between the abnormal signal and the first weld center line, and the signal position of the abnormal signal in the scanned image, and determine whether the abnormal signal is a burr signal or a defect signal based on the first distance and signal position. If it is a defect signal, the defect signal is displayed on the display screen of the scanner. Since the processor can distinguish between burr signals and defect signals based on the first distance and signal position, there is no need for manual identification by staff, thereby improving the accuracy of detection. BRIEF DESCRIPTION OF THE DRAWINGS
[0051] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following is a brief introduction to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.
[0052] Figure 1 A schematic diagram of an application scenario provided in an embodiment of the present application;
[0053] Figure 2 A schematic flow chart of a weld detection method provided in an embodiment of the present application;
[0054] Figure 3 A schematic diagram of a test object provided in an embodiment of the present application;
[0055] Figure 4 A schematic diagram of a test image 1 provided in an embodiment of the present application;
[0056] Figure 5 A schematic diagram of a test image 2 provided in an embodiment of the present application;
[0057] Figure 6 A schematic diagram of a flash signal provided in an embodiment of the present application;
[0058] Figure 7 A schematic diagram of a defect signal provided in an embodiment of the present application;
[0059] Figure 8 A schematic flow chart of another weld detection method provided in an embodiment of the present application;
[0060] Figure 9 A schematic diagram of a guide plate provided in an embodiment of the present application;
[0061] Figure 10 A schematic diagram of the installation of the guide support plate provided in an embodiment of the present application;
[0062] Figure 11 Schematic diagram of the probe and encoder provided in an embodiment of the present application at the end of a weld;
[0063] Figure 12 A schematic diagram of the working process of the weld detection method provided in an embodiment of the present application;
[0064] Figure 13 A schematic structural diagram of a weld detection device provided in an embodiment of the present application;
[0065] Figure 14A structural schematic diagram of a weld inspection device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0066] Exemplary embodiments will be described in detail herein, with examples illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numerals in different figures represent identical or similar elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
[0067] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or apparatus comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or apparatus comprising the element.
[0068] Figure 1 This is a schematic diagram of the application scenario provided by the embodiment of this application. Figure 1 , including a scanner and a mechanical workpiece. The scanner includes a display screen and a probe, and the display screen and the probe can be connected via a data cable. The mechanical workpiece is a welded workpiece, so there is a weld on the mechanical workpiece.
[0069] When inspecting welds on mechanical workpieces, workers use a scanner's probe to scan the weld to obtain a scanned image. This image is displayed in real time on the scanner's screen. If an anomaly is detected in the weld, an abnormality signal will appear in the scanned image. This signal can be used to determine the presence of defects, as well as the size, location, and type of the defect.
[0070] Among them, the scanner can be an ultrasonic phased array detector, a magnetic particle flaw detector, an X-ray flaw detector, an eddy current detector, an acoustic emission detector, a magnetic memory detector, etc.
[0071] In related technologies, ultrasonic phased arrays are used to inspect welds on mechanical workpieces. Scanning images can be obtained and used to determine whether the welds are defective. However, due to the presence of flash around welds, it is difficult to distinguish between flash and defect signals in the scanned images, resulting in poor detection accuracy.
[0072] In an embodiment of the present application, the scanner can determine whether there is a defect in the weld based on the position of the abnormal signal in the scanned image and the distance between the abnormal signal and the center line of the weld, thereby improving the accuracy of detection.
[0073] The technical solutions shown in this application are described in detail below through specific embodiments. It should be noted that the following embodiments can exist independently or in combination with each other, and the same or similar contents will not be repeated in different embodiments.
[0074] Figure 2 This is a flow chart of a weld detection method provided in an embodiment of the present application. Figure 2 , the method may include:
[0075] S201: Obtain a scanned image obtained by scanning a weld of a first object with a scanner.
[0076] The execution entity of the embodiments of the present application may be a processor in a scanner, or a weld detection device provided in the scanner. The weld detection device may be implemented using software or a combination of software and hardware. The weld detection device may be a processor in a scanner. For ease of understanding, the following description uses the processor as an example.
[0077] A scanner is an instrument that performs nondestructive testing on a device. It can include a display and a probe. The display shows the scanned image, and the probe scans the device. For example, a scanner can be an ultrasonic phased array detector.
[0078] The first object refers to a welded mechanical workpiece. For example, the first object may be an aluminum alloy workpiece with a double-layer closed structure.
[0079] The scanned image is a cross-sectional image of the first object obtained by scanning. For example, the scanned image may be an ultrasonic phased array detection image, including a primary wave region and a secondary wave region. The horizontal axis represents the distance from the target corresponding to the abnormal signal to the front end of the scanner probe, and the vertical axis represents the depth of the target corresponding to the abnormal signal within the first object.
[0080] When inspecting the weld of the first object, the worker may use a scanner probe to scan the weld to obtain a scanning signal. The worker may control the probe by hand or by an intelligent device such as a robotic arm.
[0081] After obtaining the scanning signal, the scanner can display a scanned image on a display screen according to the scanning signal. Furthermore, the processor in the scanner can obtain a scanned image obtained by scanning the weld of the first object.
[0082] S202: When it is determined that an abnormal signal exists in the scanned image, determine a first weld centerline in the scanned image.
[0083] The first weld centerline can be determined in the scanned image in the following manner: obtaining a test centerline position, where the test centerline position is obtained by testing a test object corresponding to the first object during a test phase; and determining the first weld centerline in the scanned image based on the test centerline position.
[0084] Specifically, the test centerline position can be obtained in the following manner: a test image is obtained by scanning a test object with a scanner, wherein the test object includes a weld and a rectangular groove is provided at the center position of the weld; the distance between the scanner and the weld center of the test object is adjusted until the rectangular groove signal in the test image is located on the second weld centerline, the distance between the scanner and the weld center of the test object is determined as the target distance, and the position of the second weld centerline in the test image is determined as the test centerline position; wherein the second weld centerline is the image of the weld center of the test object in the test image.
[0085] The test object refers to a comparative sample cut from the first object for testing.
[0086] Next, combine Figure 3 , describe the test object. Figure 3 Schematic diagram of the test object provided in the embodiment of this application. Figure 3 , including top and front views of the test object.
[0087] If an ultrasonic phased array detector is used for testing, since the probe of an ultrasonic phased array detector is composed of multiple independent piezoelectric chips, the test object's cut length must be at least twice the chip length. For example, the test object's cut length can be 20mm.
[0088] like Figure 3 Combining the top and front views, we can see that the test object includes the weld, which is the shaded area. A rectangular groove is machined in the center of the back of the weld. The length of the rectangular groove can be greater than the length of the ultrasonic phased array detector chip, and the width and depth can be 0.5mm.
[0089] After the test object is prepared, the scanner can be calibrated using the test object. Specifically, the scanner's probe can be used to scan the weld in the test object to obtain a test image. The distance between the scanner and the weld center can then be adjusted based on the test image. The test image includes a second weld centerline, which corresponds to the weld center in the test object.
[0090] Next, combine Figure 4-Figure 5 , describe the test image.
[0091] Figure 4 This is a schematic diagram of a test image 1 provided in an embodiment of the present application. Figure 4 , the scanner probe can be used to scan the weld of the test object to obtain test image 1. Test image 1 includes the acoustic beam coverage area, the rectangular slot signal, and the centerline of the second weld. In this case, in test image 1, the rectangular slot signal does not overlap with the centerline of the second weld.
[0092] When the rectangular slot signal in the test image 1 does not coincide with the center line of the second weld, the distance between the scanner probe and the center of the weld on the test object can be adjusted until the rectangular slot signal in the test image is located on the center line of the second weld, as shown in the following example. Figure 5 .
[0093] Figure 5 This is a schematic diagram of the test image 2 provided in the embodiment of the present application. Figure 5 , test image 2 includes the acoustic beam coverage area, the rectangular slot signal, and the second weld centerline. At this point, after multiple adjustments to the distance between the scanner probe and the weld center on the test object, the rectangular slot signal and the second weld centerline coincide. At this point, the distance between the scanner and the weld center of the test object can be determined as the target distance, and the position of the second weld centerline in the test image can be determined as the test centerline position. The test centerline position can be marked using the horizontal coordinate in the test image. For example, the test centerline position can be marked as horizontal coordinate X = 5 mm.
[0094] After determining the test centerline, the scanner is calibrated using the test object. Next, the scanner can be used to inspect the first object. Specifically, the scanner probe can be placed on the first object, and the distance between the scanner and the weld center of the first object can be adjusted to the target distance. The scanner probe can then be used to scan the first object to obtain a scanned image.
[0095] After obtaining the scanned image, the same position in the scanned image can be determined as the first weld centerline based on the position of the test centerline. For example, if the position of the test centerline in the test image is at a horizontal coordinate X = 5 mm, the position of the first weld centerline in the scanned image can be at a horizontal coordinate X = 5 mm.
[0096] S203 , acquiring a first distance between the abnormal signal and the first weld centerline, and a signal position of the abnormal signal in the scanned image.
[0097] After acquiring the scanned image and determining the centerline of the first weld in the scanned image, the processor can read the coordinates of the abnormal signal in the scanned image to determine the signal location of the abnormal signal on the scanned image. For example, the location of the abnormal signal can be represented as (2, 7), indicating that the defect corresponding to the abnormal signal is located 2 mm from the front end of the probe and 7 mm below the upper surface of the first object.
[0098] The processor may determine a first distance between the abnormal signal and the centerline of the first weld based on the abscissa value of the abnormal signal and the abscissa value of the centerline of the first weld. For example, if in the scanned image, the abscissa of the abnormal signal is X=2 mm and the abscissa of the centerline of the first weld is X=5 mm, then the first distance between the abnormal signal and the centerline of the first weld may be determined to be 3 mm.
[0099] S204: Determine the signal type of the abnormal signal according to the first distance and the signal position.
[0100] The signal type of the abnormal signal can be determined in the following manner: obtain the weld width; if the first distance is less than or greater than half the weld width, determine the signal type of the abnormal signal as a defect signal; if the first distance is equal to half the weld width, determine the signal type of the abnormal signal based on the signal position.
[0101] Signal types can be divided into flash signals and defect signals. Flash signals are generated by the presence of flash in the weld. Defect signals are generated by the presence of defects in the weld.
[0102] Because the weld region and other regions of the first object have different appearances and structures, the signals displayed by the weld region and other regions in the scanned image are significantly different. The processor can obtain the weld width based on the signal data in the scanned image. For example, if one side of the weld is located at abscissa X = 1 mm and the other side is located at abscissa X = 9 mm in the scanned image, the weld width can be determined to be 8 mm. Therefore, half the weld width is 4 mm, and the centerline of the first weld is located at abscissa X = 5 mm.
[0103] Since the distance between the flash signal and the center line of the first weld is half the width of the weld, the depth can only appear in the starting area of the secondary wave signal. Therefore, when the first distance between an abnormal signal and the center line of the first weld in the scanning image is less than or greater than half the width of the weld, it can be determined that the signal type of the abnormal signal is a defect signal.
[0104] For example, if the weld width is 8mm, half of the weld width is 4mm, the centerline of the first weld is located at abscissa X=5mm, one side of the weld is located at abscissa X=1mm, and the other side is located at abscissa X=9mm, and an abnormal signal is located at abscissa X=3mm in the scanned image, because the distance between abscissa X=3mm and the centerline of the first weld is 2mm, which is less than half of the weld width (4mm), the abnormal signal is a defect signal. If an abnormal signal is located at abscissa X=0mm in the scanned image, because the distance between abscissa X=0mm and the centerline of the first weld is 5mm, which is greater than half of the weld width (4mm), the abnormal signal is a defect signal.
[0105] Since flash and defects are likely to exist at the root of the weld at the same time, the flash signal and the defect signal may appear at the same time only when the distance between the abnormal signal and the center line of the first weld is half the weld width. They are easy to confuse and difficult to distinguish. Therefore, the signal type of the abnormal signal can be further determined according to the signal position.
[0106] The scanned image includes a primary wave region and a secondary wave region, and the abnormal signal can be determined to be in the primary wave region or the secondary wave region in the scanned image, and then the signal type can be determined according to the signal position of the abnormal signal.
[0107] Specifically, if the abnormal signal is located in the secondary wave region, the signal type of the abnormal signal is determined to be a fin signal; if the upper end point of the abnormal signal is located in the primary wave region and the lower end point of the abnormal signal is located in the secondary wave region, the signal type of the abnormal signal is determined to be a defect signal.
[0108] Next, combine Figure 6-Figure 7 , explain the abnormal signal.
[0109] Figure 6 This is a schematic diagram of the flash signal provided in the embodiment of the present application. Figure 6 The scanning image 1 includes the flash signal, the primary wave area, the secondary wave area, the sound beam coverage area and the center line of the first weld. Figure 6 In the example, if the distance between the abnormal signal and the center line of the first weld is half the weld width, and the abnormal signal is located in the initial area of the secondary wave, indicating that the depth slightly exceeds the thickness of the primary wave weld, the processor can determine the abnormal signal as a flash signal.
[0110] Figure 7 This is a schematic diagram of a defect signal provided in an embodiment of the present application. Figure 7 , the scanning image 2 includes the defect signal, the primary wave area, the secondary wave area, the acoustic beam coverage area and the center line of the first weld. Figure 7In this example, the abnormal signal is located half the weld width from the centerline of the first weld, and its upper endpoint is in the primary wave region, indicating that the defect is located at a depth less than 1 times the weld thickness. The lower endpoint of the abnormal signal is in the secondary wave region, likely because the defect signal forms a mirror image of its upper endpoint in the secondary wave region, with the lower surface of the weld as the reference plane. In this case, the processor can identify the abnormal signal as a defect signal.
[0111] S205 . When it is determined that the signal type of the abnormal signal is a defect signal, display the defect signal on a display screen of the scanner.
[0112] After the processor determines that the abnormal signal is a defect signal, the processor can display the defect signal in the scanned image on the display screen of the scanner based on relevant information of the defect signal so that the staff can obtain information about the defect.
[0113] In an embodiment of the present application, the processor can determine the test centerline position in the test image and the target distance between the scanner and the second weld centerline through the test object. The processor can adjust the distance between the scanner and the first weld centerline in the first object according to the target distance, and determine the position of the first weld centerline in the scanned image according to the test centerline position. The processor can determine the first distance between the abnormal signal and the first weld centerline, and the signal position of the abnormal signal in the scanned image, and determine whether the abnormal signal is a burr signal or a defect signal based on the first distance and signal position. If it is a defect signal, the defect signal is displayed on the display screen of the scanner. Since the processor can distinguish between burr signals and defect signals based on the first distance and signal position, there is no need for manual identification by staff, which improves the accuracy of detection.
[0114] exist Figure 2 Based on the embodiment shown below, combined with Figure 8 , the above weld detection method is further described in detail. Figure 8 This is a flow chart of another weld detection method provided in an embodiment of the present application. Figure 8 , the method may include:
[0115] S801: Acquire a test image obtained by scanning a test object with a scanner.
[0116] A sample can be cut from the first object, and a rectangular groove is machined on the back of the weld of the sample, and the sample is used as the test object.
[0117] After the test object is prepared, the scanner can be calibrated using the test object. Specifically, the scanner probe can be used to scan the weld seam in the test object, and the distance between the scanner probe and the weld center can be continuously adjusted until the rectangular groove signal in the test image coincides with the centerline of the second weld seam.
[0118] S802: Determine the target distance and the test centerline position.
[0119] After obtaining a test image in which the rectangular slot signal and the second weld centerline coincide with each other, the distance between the scanner and the weld center of the test object can be determined as the target distance, and the position of the second weld centerline in the test image can be determined as the test centerline position.
[0120] S803: Adjust the distance between the scanner and the center of the weld of the first object according to the target distance.
[0121] After the scanner is calibrated using the test object, the first object can be inspected using the scanner. The scanner probe can be placed on the first object, and the distance between the scanner and the center of the weld of the first object can be adjusted to the target distance.
[0122] S804: Obtain a scanned image obtained by scanning the weld of the first object with a scanner.
[0123] After adjusting the distance between the scanner and the center of the weld of the first object, the scanner probe can be moved back and forth on the weld of the first object to scan the weld and obtain a scanned image.
[0124] Alternatively, the scanner probe can be placed on a scanning track, and the distance between the scanning track and the center of the weld of the first object can be adjusted to the target distance. The scanning track is a track parallel to the weld. If the weld needs to be scanned in sections, equal segment scales can be set on the scanning track to facilitate segmented data recording.
[0125] When the scanner scans the weld of a first object, the probe needs to be connected to an encoder to store the scanned data. However, when the probe scans the end of the weld of the first object, the encoder is suspended in the air, resulting in failure to record the scanned data within a certain distance from the weld end of the first object. To solve this problem, a guide plate can be installed on the first object. This ensures that when the probe scans the end of the weld of the first object, the encoder is located on the guide plate, allowing normal data storage.
[0126] Next, combine Figure 9-10 The guide plate will be described.
[0127] Figure 9 Schematic diagram of the guide plate provided in the embodiment of this application. Figure 9 , parallel lines can be engraved on the guide support plate. The parallel lines can be used as reference lines to assist in installing the guide support plate.
[0128] Figure 10 This is a schematic diagram of the installation of the guide support plate provided in the embodiment of this application. Figure 10 , including a first object 11, a U-shaped card 12, a guide support plate 13, a scanning track 14, a fastening screw 15, a nut 16, a probe 17, an encoder 18, and a fastening wrench 19.
[0129] like Figure 10 , you can install a U-shaped card 12 on the first object 11 and fasten it to the upper and lower surface profiles at the starting end of the weld. Connect the axis of the guide bracket 13 to the notch of the U-shaped card 12. Adjust the position of the guide bracket 13 so that its end face is in close contact with the end face of the weld and the parallel line on the guide bracket 13 is parallel to the center line of the weld. Tighten the tightening wrench 19 of the U-shaped card 12 to fix the guide bracket 13 to the first object 11. You can place the encoder 18 on the guide bracket 13 so that the encoder roller is not suspended in the air, so that the scan data can be stored normally.
[0130] The guide plate 13 and the scanning track 14 can be connected by tightening screws 15 and nuts 16, ensuring that the length of the scanning track 14 is parallel to the parallel lines on the guide plate 13. The position of the scanning track 14 is adjusted so that its distance from the weld centerline is the target distance. The probe 17 can scan along the scanning track 14.
[0131] Next, combine Figure 11 Describes the placement of the probe and encoder at the end of the weld.
[0132] Figure 11 Schematic diagram of the probe and encoder provided in the embodiment of this application at the end of the weld. Figure 11 , including top view and main view.
[0133] like Figure 11 , including a first object, a probe, an encoder, a guide plate, and a scanning track. Combining the top view and the front view, it can be seen that when the probe is positioned at the end of the weld of the first object, the guide plate can be installed on the first object and the encoder placed on the guide plate. To ensure maximum stability of the encoder roller, the guide plate should be flush with the scanning surface. The probe and encoder can be connected via a data cable. The probe can scan the weld of the first object along a left-to-right scanning direction.
[0134] S805: Determine the first weld centerline in the scanned image.
[0135] After obtaining the scanned image, the position of the first weld centerline can be determined in the scanned image based on the position of the test centerline. For example, if the position of the test centerline in the test image is at a horizontal coordinate X = 5 mm, the position of the first weld centerline in the scanned image can be at a horizontal coordinate X = 5 mm.
[0136] S806: Acquire a first distance between the abnormal signal and the first weld centerline, and a signal position of the abnormal signal in the scanned image.
[0137] It should be noted that the execution process of step S806 can refer to the execution process of step S203, and will not be repeated here.
[0138] S807: Determine the signal type of the abnormal signal according to the first distance and the signal position.
[0139] It should be noted that the execution process of step S807 can refer to the execution process of step S204, and will not be repeated here.
[0140] S808. When it is determined that the signal type of the abnormal signal is a defect signal, the defect signal is displayed on a display screen of the scanner.
[0141] It should be noted that the execution process of step S808 can refer to the execution process of step S205, and will not be repeated here.
[0142] In an embodiment of the present application, the processor can determine the test centerline position in the test image and the target distance between the scanner and the second weld centerline through the test object. The processor can adjust the distance between the scanner and the first weld centerline in the first object according to the target distance, and determine the position of the first weld centerline in the scanned image according to the test centerline position. The processor can determine the first distance between the abnormal signal and the first weld centerline, and the signal position of the abnormal signal in the scanned image, and determine whether the abnormal signal is a burr signal or a defect signal based on the first distance and signal position. If it is a defect signal, the defect signal is displayed on the display screen of the scanner. Since the processor can distinguish between burr signals and defect signals based on the first distance and signal position, there is no need for manual identification by staff, which improves the accuracy of detection.
[0143] Based on any of the above embodiments, Figure 12 The embodiment shown illustrates the working process of weld detection.
[0144] Figure 12 This is a schematic diagram of the working process of the weld detection method provided in the embodiment of the present application. Figure 12 , including process 1, process 2, process 3, and process 4.
[0145] Refer to Step 1. The test object includes a weld seam with a rectangular groove machined on the back of the weld seam's center. Scan the weld seam using the scanner's probe, and continuously adjust the distance between the scanner and the weld seam's center until the rectangular groove signal in the test image is centered on the second weld seam's centerline. For details, refer to Step 2.
[0146] Referring to process 2, when the rectangular slot signal in the test image is located on the second weld centerline, the distance between the scanner and the weld center of the test object is determined as the target distance, and the position of the second weld centerline in the test image is determined as the test centerline position.
[0147] Refer to step 3. After determining the target distance and test centerline position, adjust the distance between the scanner and the center of the weld of the first object to the target distance. Then, scan the weld of the first object with the scanner probe to obtain a scanned image. For details, refer to step 4.
[0148] Please refer to process 4, a scanning image can be obtained, which includes signal 1, signal 2, primary wave area, secondary wave area, sound beam coverage area and the center line of the first weld.
[0149] Because the weld region and other regions of the first object have different appearances and structures, the signals displayed by the weld region and other regions in the scanned image are significantly different. The processor can obtain the weld width based on the signal data in the scanned image. The processor can determine the position of the first weld centerline in the scanned image based on the test centerline position.
[0150] In the scanned image, if Signal 1 is half the weld width away from the centerline of the first weld, and its upper endpoint is in the primary wave region and its lower endpoint is in the secondary wave region, the processor can determine that Signal 1 is a defect signal. If Signal 2 is half the weld width away from the centerline of the first weld and is in the initial region of the secondary wave, the processor can determine that Signal 2 is a flash signal.
[0151] After the processor determines the signal type, it can display or not display the signal based on the signal type. If it is determined to be a flash signal, the flash signal may not be displayed in the scanned image; if it is determined to be a defect signal, the defect signal may be displayed in the scanned image so that the staff can obtain defect information.
[0152] In an embodiment of the present application, the processor can determine the test centerline position in the test image and the target distance between the scanner and the second weld centerline through the test object. The processor can adjust the distance between the scanner and the first weld centerline in the first object according to the target distance, and determine the position of the first weld centerline in the scanned image according to the test centerline position. The processor can determine the first distance between the abnormal signal and the first weld centerline, and the signal position of the abnormal signal in the scanned image, and determine whether the abnormal signal is a burr signal or a defect signal based on the first distance and signal position. If it is a defect signal, the defect signal is displayed on the display screen of the scanner. Since the processor can distinguish between burr signals and defect signals based on the first distance and signal position, there is no need for manual identification by staff, which improves the accuracy of detection.
[0153] Figure 13 This is a schematic diagram of the structure of a weld detection device provided in an embodiment of the present application. Figure 13 The weld detection device 20 may include: a first acquisition module 21, a first determination module 22, a second acquisition module 23, a second determination module 24 and a display module 25, wherein:
[0154] The first acquisition module 21 is used to acquire a scanned image obtained by scanning the weld of the first object with a scanner;
[0155] The first determining module 22 is configured to determine a first weld centerline in the scanned image when determining that an abnormal signal exists in the scanned image;
[0156] The second acquisition module 23 is used to acquire a first distance between the abnormal signal and the first weld centerline, and a signal position of the abnormal signal in the scanned image;
[0157] The second determining module 24 is configured to determine a signal type of the abnormal signal according to the first distance and the signal position, wherein the signal type is a flash signal or a defect signal;
[0158] The display module 25 is configured to display the defect signal on the display screen of the scanner when it is determined that the signal type of the abnormal signal is a defect signal.
[0159] The weld detection device provided in the embodiment of the present application can execute the technical solution shown in the above method embodiment. Its implementation principle and beneficial effects are similar and will not be repeated here.
[0160] In a possible implementation manner, the second determining module 24 is specifically configured to:
[0161] Get the weld width;
[0162] If the first distance is less than or greater than half of the weld width, determining that the signal type of the abnormal signal is a defect signal;
[0163] If the first distance is equal to half the weld width, the signal type of the abnormal signal is determined according to the signal position.
[0164] In a possible implementation manner, the second determining module 24 is specifically configured to:
[0165] If the abnormal signal is located in the secondary wave region, determining that the signal type of the abnormal signal is the fin signal;
[0166] If the upper endpoint of the abnormal signal is located in the primary wave region and the lower endpoint of the abnormal signal is located in the secondary wave region, it is determined that the signal type of the abnormal signal is the defect signal.
[0167] In a possible implementation, the first determining module 22 is specifically configured to:
[0168] Acquire a test centerline position, where the test centerline position is obtained by testing a test object corresponding to the first object during a test phase;
[0169] The first weld centerline is determined in the scanned image according to the test centerline position.
[0170] In a possible implementation, the first determining module 22 is specifically configured to:
[0171] Acquire a test image obtained by scanning the test object with the scanner, wherein the test object includes a weld, and a rectangular groove is provided at the center of the weld;
[0172] Adjust the distance between the scanner and the weld center of the test object until the rectangular slot image in the test image is located on a second weld center line, determine the distance between the scanner and the weld center of the test object as the target distance, and determine the position of the second weld center line in the test image as the test center line position; wherein the second weld center line is the image of the weld center of the test object in the test image.
[0173] In a possible implementation, the distance between the scanner and the center of the weld of the first object is the target distance.
[0174] The weld detection device provided in the embodiment of the present application can execute the technical solution shown in the above method embodiment. Its implementation principle and beneficial effects are similar and will not be repeated here.
[0175] This application embodiment provides a structural diagram of a weld detection device, see Figure 14 The weld detection device 30 may include a processor 31 and a memory 32. For example, the processor 31 and the memory 32 are interconnected via a bus 33.
[0176] The memory 32 stores computer-executable instructions;
[0177] The processor 31 executes the computer-executable instructions stored in the memory 32 , so that the processor 31 performs the weld detection method as shown in the above method embodiment.
[0178] All or part of the steps of the above-mentioned method embodiments can be completed by hardware related to program instructions. The aforementioned program can be stored in a readable memory. When the program is executed, it performs the steps of the above-mentioned method embodiments; and the aforementioned memory (storage medium) includes: read-only memory (ROM), RAM, flash memory, hard disk, solid-state drive, magnetic tape, floppy disk, optical disc, and any combination thereof.
[0179] An embodiment of the present application provides a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the weld detection method described in the above method embodiment.
[0180] An embodiment of the present application may also provide a computer program product, including a computer program. When the computer program is executed by a processor, it can implement the weld detection method shown in the above method embodiment.
[0181] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.
[0182] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1A step that specifies a function in one or more boxes.
[0183] Obviously, those skilled in the art may make various changes and modifications to the embodiments of the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the embodiments of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations.
[0184] In this application, the term "include" and its variations may refer to non-restrictive inclusion; the term "or" and its variations refer to "and / or". In this application, the terms "first", "second", etc. are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. In this application, "plurality" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the previous and subsequent associated objects are in an "or" relationship.
Claims
1. A weld detection method, characterized in that: include: Acquire a scanned image obtained by scanning a weld of a first object with a scanner; the scanned image is a cross-sectional image of the first object obtained by scanning; the scanned image is an ultrasonic phased array detection image; When it is determined that an abnormal signal exists in the scanned image, determining a first weld centerline in the scanned image; Obtaining a first distance between the abnormal signal and the first weld centerline, and a signal position of the abnormal signal in the scanned image; wherein the first distance between the abnormal signal and the first weld centerline is determined based on a horizontal coordinate value of the abnormal signal and a horizontal coordinate value of the first weld centerline; determining a signal type of the abnormal signal according to the first distance and the signal position, the signal type being a flash signal or a defect signal; When determining that the signal type of the abnormal signal is a defect signal, displaying the defect signal on a display screen of the scanner; Determining a signal type of the abnormal signal according to the first distance and the signal position includes: Get the weld width; If the first distance is less than or greater than half of the weld width, determining that the signal type of the abnormal signal is a defect signal; If the first distance is equal to half of the weld width, determining the signal type of the abnormal signal according to the signal position; The scanned image includes a primary wave region and a secondary wave region; and determining the signal type of the abnormal signal according to the signal position includes: If the abnormal signal is located in the secondary wave region, determining that the signal type of the abnormal signal is the fin signal; If the upper endpoint of the abnormal signal is located in the primary wave region and the lower endpoint of the abnormal signal is located in the secondary wave region, it is determined that the signal type of the abnormal signal is the defect signal.
2. The method according to claim 1, characterized in that Determining a first weld centerline in the scanned image includes: Acquire a test centerline position, where the test centerline position is obtained by testing a test object corresponding to the first object during a test phase; The first weld centerline is determined in the scanned image according to the test centerline position.
3. The method according to claim 2, characterized in that Before obtaining the test centerline position, it also includes: Acquire a test image obtained by scanning the test object with the scanner, wherein the test object includes a weld, and a rectangular groove is provided at the center of the weld; Adjust the distance between the scanner and the weld center of the test object until the rectangular slot image in the test image is located on a second weld center line, determine the distance between the scanner and the weld center of the test object as the target distance, and determine the position of the second weld center line in the test image as the test center line position; wherein the second weld center line is the image of the weld center of the test object in the test image.
4. The method according to claim 3, characterized in that The distance between the scanner and the center of the weld of the first object is the target distance.
5. A weld detection device, characterized in that: include: A first acquisition module, a first determination module, a second acquisition module, a second determination module and a display module, wherein: The first acquisition module is used to acquire a scanned image obtained by scanning the weld of the first object with a scanner; the scanned image is a cross-sectional image of the first object obtained by scanning; the scanned image is an ultrasonic phased array detection image; the scanned image includes a primary wave region and a secondary wave region; The first determining module is configured to determine a first weld centerline in the scanned image when determining that an abnormal signal exists in the scanned image; The second acquisition module is configured to acquire a first distance between the abnormal signal and the first weld centerline, and a signal position of the abnormal signal in the scanned image; wherein the first distance between the abnormal signal and the first weld centerline is determined based on a horizontal coordinate value of the abnormal signal and a horizontal coordinate value of the first weld centerline; The second determining module is configured to determine a signal type of the abnormal signal according to the first distance and the signal position, the signal type being a flash signal or a defect signal; The display module is configured to display the defect signal on the display screen of the scanner when it is determined that the signal type of the abnormal signal is a defect signal; Determining the signal type of the abnormal signal according to the first distance and the signal position includes: obtaining a weld width; If the first distance is less than or greater than half of the weld width, determining that the signal type of the abnormal signal is a defect signal; If the first distance is equal to half of the weld width, determining the signal type of the abnormal signal according to the signal position; Determining the signal type of the abnormal signal according to the signal position includes: if the abnormal signal is located in the secondary wave region, determining the signal type of the abnormal signal to be the fin signal; If the upper endpoint of the abnormal signal is located in the primary wave region and the lower endpoint of the abnormal signal is located in the secondary wave region, it is determined that the signal type of the abnormal signal is the defect signal.
6. A weld detection device, characterized in that: include: processor and memory; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory, so that the processor performs the weld detection method according to any one of claims 1 to 4.
7. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the weld detection method according to any one of claims 1 to 4.
8. A computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the weld detection method according to any one of claims 1 to 4 is implemented.
Citation Information
Patent Citations
Quality control data analysis method
CN113504239A