Welding crack detection equipment, method and system
By designing welding crack detection equipment and using image sensors and digital processing devices to monitor the width of welding cracks in real time, the safety hazards of manual high-altitude operations and the shortcomings of real-time monitoring in the existing technology have been solved, and safe and efficient welding crack detection has been achieved.
Patent Information
- Application Number
- CN202010478479.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2020-05-29
- Publication Date
- 2025-01-24
- Estimated Expiration
- 2040-05-29
AI Technical Summary
The existing welding crack detection methods require manual operation at high altitudes, which poses personal safety risks and cannot monitor the changes in cracks in real time, resulting in unsafe risks such as collapse of buildings and bridges, breakages, etc.
A welding crack detection equipment is designed, including an image sensor and a digital processing device. The image sensor collects image data of welding cracks. The digital processing device processes the image data, determines the width information of the crack, and sends it to the terminal device. Real-time monitoring is achieved.
It avoids the safety hazards caused by artificial high-altitude operations, realizes real-time monitoring of welding cracks, and can promptly grasp changes in crack width, provide early warning and repair, and improve safety and efficiency.
Smart Images

Figure CN111650207B_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of welding crack monitoring, and in particular, to a welding crack detection device, method and system. Background Art
[0002] Steel structures are increasingly used in contemporary buildings, and welding, as one of the main ways to connect steel structures, directly affects the construction quality of steel structures. Cracks are a common and very serious defect in welding production, which not only makes the welded structure become waste, but also may cause catastrophic accidents. Welding cracks generally include hot cracks, cold cracks, layered cracks, reheating cracks, stress corrosion cracks, etc.
[0003] At present, ultrasonic testing and camera testing are mostly used for flaw detection of welds. For welds already installed on buildings, ultrasonic testing or camera testing requires personnel to work at high altitudes, which poses a personal safety hazard. In addition, the changes in cracks cannot be monitored in real time, which may lead to the collapse and breakage of buildings and bridges due to untimely monitoring. The rigid structures on both sides of the weld are often at right angles, which poses a greater challenge to weld monitoring. General detection equipment is not easy to adjust the detection angle or cannot be placed in the ideal detection position, which reduces the accuracy of welding crack detection.
[0004] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention
[0005] The embodiments of the present application provide a welding crack detection device, method and system to at least solve the technical problems that the existing welding crack detection method requires manual use of ultrasonic flaw detection and camera flaw detection for high-altitude operations, which poses a personal safety hazard and cannot monitor the changes in cracks in real time.
[0006] According to one aspect of an embodiment of the present application, a welding crack detection device is provided, including: an image sensor, used to collect image data of welding cracks of a welded part to be detected; a digital processing device, connected to the image sensor, used to obtain image data of the welding cracks, determine width information of the welding cracks based on the image data, and send the width information of the welding cracks to a terminal device; a cable, used to electrically connect the image sensor and the digital processing device.
[0007] Optionally, the welding crack detection device further includes: a power module for supplying power to the image sensor and the digital processing device.
[0008] Optionally, the welding crack detection device further includes: a mounting portion, used to fix the crack detection device at a position directly above the welding crack.
[0009] Optionally, the digital processing device includes: an image processor, connected to the image sensor via a cable, for processing the acquired image data of the welding crack to obtain the width information of the welding crack; a communication device, communicatively connected to the image processor, for receiving a detection instruction from a terminal device, and sending the width information of the welding crack to the terminal device at a preset time interval, wherein the detection instruction is used to instruct the welding crack detection device to start detecting the width information of the welding crack.
[0010] Optionally, the image sensor includes: a frame, a lens, a circuit board, a light source module, a photoelectric conversion chip and a transparent cover, wherein the frame is used to support and protect the components of the image sensor; the light source module is arranged inside the frame and is used to emit light to the welding crack; the lens is arranged inside the frame and is used to converge the reflected light so that the reflected light is irradiated to the photoelectric conversion chip, and the reflected light is the light emitted by the light source module and reflected back from the welding crack; the photoelectric conversion chip is arranged inside the frame and is used to convert the reflected light into an electrical signal and use the electrical signal as image data; the circuit board is used to carry the photoelectric conversion chip and other circuits of the image sensor; the transparent cover is used to prevent dust.
[0011] Optionally, the number of the photoelectric conversion chips is at least 3 rows.
[0012] Optionally, the length direction of the photoelectric conversion chip is parallel to the width direction of the frame of the image sensor, and they respectively span the position directly above and perpendicular to the welding crack.
[0013] Optionally, the length direction of the photoelectric conversion chip and the width direction of the frame of the image sensor form a preset angle, and they respectively span a position just above and perpendicular to the welding crack.
[0014] According to another aspect of an embodiment of the present application, a welding crack detection system is also provided, comprising: the above-mentioned welding crack detection device, a terminal device and a welded part to be detected, wherein the welded part to be detected has a welding crack; the terminal device is communicatively connected to the welding crack detection device, and is used to send a detection instruction to the welding crack detection device, and the detection instruction is used to instruct the welding crack detection device to start detecting the width information of the welding crack of the welded part to be detected.
[0015] According to another aspect of an embodiment of the present application, a method for detecting a welding crack is also provided. The detection method is applied to the above-mentioned welding crack detection device and is used to detect width information of a welding crack of a welded part to be detected, including: collecting image data of the welding crack; processing the image data of the welding crack to obtain width information of the welding crack; and sending the width information of the welding crack to a terminal device at a preset time interval.
[0016] Optionally, collecting image data of the welding crack includes: emitting light toward the welding crack; obtaining reflected light reflected from the welding crack, where the reflected light is the light emitted toward the welding crack and reflected back from the welding crack; converting the reflected light into an electrical signal, and using the electrical signal as image data.
[0017] Optionally, the image data of the welding crack is processed to obtain the width information of the welding crack, including: determining the number of pixel points corresponding to the width of the welding crack from the image data; determining the width information of the welding crack based on the number of pixel points corresponding to the width of the welding crack and the width of the photosensitive window of the photoelectric conversion chip.
[0018] According to another aspect of the embodiment of the present application, a storage medium is further provided, the storage medium including a stored program, wherein when the program is running, the device where the storage medium is located is controlled to execute the above welding crack detection method.
[0019] According to another aspect of the embodiment of the present application, a processor is further provided, and the processor is used to run a program stored in a memory, wherein the above welding crack detection method is executed when the program is run.
[0020] In an embodiment of the present application, a welding crack detection device is provided, including: an image sensor, used to collect image data of welding cracks of a welded part to be detected; a digital processing device, connected to the image sensor, used to obtain image data of the welding cracks, determine width information of the welding cracks based on the image data, and send the width information of the welding cracks to a terminal device; a cable, used to electrically connect the image sensor and the digital processing device, thereby avoiding the potential safety hazard caused by manual high-altitude welding crack detection, and achieving the technical effect of real-time monitoring of changes in welding cracks, thereby solving the technical problem that the existing welding crack detection method requires manual high-altitude operation using ultrasonic flaw detection and camera flaw detection, which poses a personal safety hazard and cannot monitor changes in cracks in real time. BRIEF DESCRIPTION OF THE DRAWINGS
[0021] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:
[0022] Figure 1 is a structural block diagram of a welding crack detection device according to an embodiment of the present application;
[0023] Figure 2 is a structural block diagram of another welding crack detection device according to an embodiment of the present application;
[0024] Figure 3is a structural block diagram of another welding crack detection device according to an embodiment of the present application;
[0025] Figure 4 is a structural block diagram of another welding crack detection device according to an embodiment of the present application;
[0026] Figure 5 is a structural schematic diagram of a welding crack detection device according to an embodiment of the present application;
[0027] Figure 6 is a structural schematic diagram of an image sensor according to an embodiment of the present application;
[0028] Figure 7 is a schematic diagram of a use environment of a welding crack detection device according to an embodiment of the present application;
[0029] Figure 8 is a schematic diagram of an installation method of a welding crack detection device according to an embodiment of the present application;
[0030] Fig. 9 is a schematic diagram of an arrangement direction of a photoelectric conversion chip according to an embodiment of the present application;
[0031] Fig.10 is a schematic diagram of a photoelectric conversion chip according to an embodiment of the present application;
[0032] Fig.11 is a waveform diagram of an optical signal converted into an electrical signal according to an embodiment of the present application;
[0033] Fig.12 is a schematic diagram of the arrangement direction of another photoelectric conversion chip according to an embodiment of the present application;
[0034] Fig.13 is a schematic diagram of another photoelectric conversion chip according to an embodiment of the present application;
[0035] Fig.14 is a structural diagram of a welding crack detection system according to an embodiment of the present application;
[0036] Fig.15 It is a flow chart of a welding crack detection method according to an embodiment of the present application. DETAILED DESCRIPTION
[0037] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.
[0038] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.
[0039] According to an embodiment of the present application, an embodiment of a welding crack detection device is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.
[0040] Figure 1 is a structural block diagram of a welding crack detection device according to an embodiment of the present application, such as Figure 1 As shown, the device includes:
[0041] An image sensor 10 is used to collect image data of welding cracks of a welded part to be detected;
[0042] The image sensor 10 is installed vertically above the crack and is used to collect image information of the crack.
[0043] The digital processing device 12 is connected to the image sensor 10, and is used to obtain image data of the welding crack, determine the width information of the welding crack according to the image data, and send the width information of the welding crack to the terminal device.
[0044] The digital processing device 12 is used to process the crack image data obtained by the image sensor, restore the crack width information and store it.
[0045] The cable 18 is used to electrically connect the image sensor 10 and the digital processing device 12 .
[0046] According to an optional embodiment of the present application, the image sensor 10 and the digital processing device 12 are separately connected by the cable 18, so that the image sensor 10 can be installed alone at a position just above the crack. For example, if the welding crack is a crack of a right-angle triangle welding part, the image sensor 10 and the digital processing device 12 are separately connected by the cable 10, so that the image sensor 10 can be installed alone at the corner of the right-angle triangle welding part.
[0047] Through the above-mentioned equipment, the potential safety hazards caused by manual high-altitude welding crack detection can be avoided, and the technical effect of real-time monitoring of changes in welding cracks can be achieved.
[0048] Figure 2 is a structural block diagram of another welding crack detection device according to an embodiment of the present application, such as Figure 2 As shown, the device further includes: a power module 14 for supplying power to the image sensor 10 and the digital processing device 12 .
[0049] Figure 3 is a structural block diagram of another welding crack detection device according to an embodiment of the present application, such as Figure 3 As shown, the device further includes: a mounting portion 16 for fixing the crack detection device at a position directly above the welding crack.
[0050] Figure 4 is a structural block diagram of another welding crack detection device according to an embodiment of the present application, such as Figure 4 As shown, the digital processing device 12 includes: an image processor 120, which is connected to the image sensor 10 via a cable 18, and is used to process the acquired image data of the welding crack to obtain the width information of the welding crack; a communication device 122, which is communicatively connected to the image processor 120, and is used to receive a detection instruction from a terminal device, and send the width information of the welding crack to the terminal device at a preset time interval, and the detection instruction is used to instruct the welding crack detection device to start detecting the width information of the welding crack.
[0051] The image processor 120 is used to process the crack image data obtained by the image sensor 10 to obtain crack width information.
[0052] The communication device 122 is a wireless communication device, which is used to receive crack scanning instructions sent by the terminal user and send scanning data acquired by the image sensor to the terminal user. The communication method used by the wireless communication device includes but is not limited to WIFI, 4G, 5G and other wireless communication methods.
[0053] Figure 5is a structural schematic diagram of a welding crack detection device according to an embodiment of the present application, such as Figure 5 As shown, the welding crack detection device is composed of an image sensor 51, a digital processing unit 52 and a connecting cable 53; the digital processing unit 52 is composed of an image processing unit 520, a wireless transmitting unit 522, a power supply unit 524 and a mounting unit 526. The image sensor 51 is installed vertically above the crack and is used to collect image information of the crack; the image processing unit 520 is used to process the crack image data obtained by the image sensor 51, restore the crack width information and store it; the wireless transmitting unit 522 is used to receive the scanning command sent by the terminal user and send the scanning data obtained by the image sensor to the terminal user; the power supply unit 524 is used to power the entire crack detection monitoring device; the mounting unit 526 is used to fix the crack detection device above the part to be monitored, and the connecting cable 53 is used to realize the electrical connection between the image sensor 51 and the image processing unit 520.
[0054] The above-mentioned crack detection equipment can be installed above the part to be detected and monitor the cracks through wireless transmission, which can avoid the safety hazards caused by multiple manual high-altitude operation tests. It can also realize real-time monitoring and keep track of changes in crack width at any time. Once the crack width exceeds the safety limit, the equipment can issue an early warning to remind staff to carry out repairs in time.
[0055] Figure 6 is a schematic diagram of the structure of an image sensor according to an embodiment of the present application, such as Figure 6 As shown, the image sensor includes: a frame 101, a lens 102, a circuit board 103, a light source module 104, a photoelectric conversion chip 105 and a transparent cover 106, wherein the frame 101 is used to support and protect the components of the image sensor; the light source module 104 is arranged inside the frame 101 and is used to emit light to the welding crack; the lens 102 is arranged inside the frame 101 and is used to converge the reflected light so that the reflected light is irradiated to the photoelectric conversion chip 105, and the reflected light is the light emitted by the light source module and reflected back from the welding crack; the photoelectric conversion chip 105 is arranged inside the frame 101 and is used to convert the reflected light into an electrical signal and use the electrical signal as image data; the circuit board 103 is used to carry the photoelectric conversion chip 105 and other circuits of the image sensor; the transparent cover 106 is used to prevent dust.
[0056] During operation, the light emitted by the light source module 104 is irradiated onto the scanned object (crack), and the scanned object (crack) generates reflected light, which then passes through the transparent cover 106. Part of the reflected light enters the lens 102, and the reflected light coming out from the other end of the lens 102 is irradiated onto the photosensitive window of the photoelectric conversion chip 105. The photoelectric conversion chip 105 converts the received light signal into an electrical signal and outputs it as image information.
[0057] Since the image sensor is in the shape of an elongated rectangular parallelepiped, it can be installed at a right-angled welding position, and crack information at the welding position can be read as needed.
[0058] Figure 7 is a schematic diagram of a use environment of a welding crack detection device according to an embodiment of the present application, such as Figure 7 As shown, 31 and 32 are steel plates, 33 is welding solder, and the crack 34 on the welding solder can be seen by magnifying the welding position.
[0059] Figure 8 is a schematic diagram of an installation method of a welding crack detection device according to an embodiment of the present application, such as Figure 8 As shown, the welding crack detection equipment is installed at a right-angle crack, the image sensor 10 is installed directly above the crack, the photoelectric conversion chip of the image sensor 10 is placed vertically to the crack, the digital processing device 12 is installed on the steel plate near the image sensor 10, and the image sensor 10 and the digital processing device 12 are connected by a cable.
[0060] According to an optional embodiment of the present application, the number of the photoelectric conversion chips 105 is at least 3 rows.
[0061] Fig. 9 is a schematic diagram of the arrangement direction of a photoelectric conversion chip according to an embodiment of the present application, such as Fig. 9 As shown, the length direction of the photoelectric conversion chip is parallel to the width direction of the frame of the image sensor, and they are respectively across the position directly above the welding crack.
[0062] The length direction of the photoelectric conversion chip of the image sensor in the embodiment of the present application is parallel to the width direction of the image sensor, and there are three rows in total, spanning over different positions of the crack. The arrangement of three or more rows of photosensitive chips can better monitor the overall changes of the crack and monitor the direction of the crack.
[0063] Fig.10 is a schematic diagram of a photoelectric conversion chip according to an embodiment of the present application, such as Fig.10 As shown in the figure, 61 is a photoelectric conversion chip, 62 is a linearly arranged photosensitive window, 63 is a crack, the width of the photosensitive window is a, the crack width is the value we want to measure, assuming it is n*a, then n is the value we want to measure, the following is a detailed description of the measurement process of n, when the light source is irradiated on the crack and the surrounding steel plate, the reflected light is converted into an electrical signal by the photoelectric conversion chip, the waveform of this electrical signal is as follows Fig.11 As shown, it can be seen that the output voltage at the steel plate is relatively high and uniform, and the electrical signal output at the crack is relatively low. Fig.11In the graph, the Y axis represents the output voltage value (mV), and the X axis represents the pixel corresponding to the actual output of the sensor (the pixel corresponds to the photosensitive window 62, with a width of a). Fig.11 The number of pixels Xn-X1 corresponding to the crack width can be calculated, that is, n=Xn-X1, so we can now calculate the actual width of the crack n*a=(Xn-X1)*a.
[0064] In this embodiment, the image sensor 10 reads the light reflection signal of the crack and the surrounding area and converts it into an electrical signal, and outputs the electrical signal to the image processor 120. The image processor 120 completes the above-mentioned calculation of the crack width, and sends the above-mentioned crack width signal to the user terminal through the communication device 122.
[0065] It should be noted that the crack data collection is performed at the collection time interval set by the user terminal received by the communication device 122.
[0066] Fig.12 is a schematic diagram of another arrangement direction of the photoelectric conversion chip according to an embodiment of the present application, such as Fig.12 As shown, the length direction of the photoelectric conversion chip and the width direction of the frame of the image sensor form a preset angle, and they are respectively across the position directly above the welding crack.
[0067] The length direction of the photoelectric conversion chip forms a certain angle with the width direction of the image sensor, which can reduce the width of the image sensor. The photoelectric conversion adopts three rows, which span over different positions of the crack to read the width change of the crack. Fig. 9 The difference between the arrangements shown is that the sensor measures the crack width n*a, but the actual crack width is n*a*cosθ. Fig.13 As shown, θ is the angle between the length direction of the photoelectric conversion chip and the X-axis.
[0068] Fig.14 is a structural diagram of a welding crack detection system according to an embodiment of the present application, such as Fig.14 As shown, the system includes: the above-mentioned welding crack detection device 140, a terminal device 142 and a welded part 144 to be detected, wherein the welded part 144 to be detected has a welding crack; the terminal device 142 is communicatively connected to the welding crack detection device 140, and is used to send a detection instruction to the welding crack detection device 140, and the detection instruction is used to instruct the welding crack detection device 140 to start detecting the width information of the welding crack of the welded part 144 to be detected.
[0069] It should be noted that Fig.14 The preferred implementation of the welding crack detection device 140 in the illustrated embodiment can be found in Figure 1The relevant description of the embodiments shown in will not be repeated here.
[0070] Fig.15 is a flow chart of a welding crack detection method according to an embodiment of the present application, such as Fig.15 As shown, the detection method is applied to the above welding crack detection equipment, and is used to detect the width information of the welding crack of the welded part to be detected, and includes the following steps:
[0071] Step S1502, collecting image data of welding cracks.
[0072] Step S1504, processing the image data of the welding crack to obtain the width information of the welding crack.
[0073] Step S1506, sending the welding crack width information to the terminal device at a preset time interval.
[0074] In some optional embodiments of the present application, step S1502 can be implemented by the following method: emitting light toward the welding crack; obtaining reflected light reflected from the welding crack, where the reflected light is the light emitted toward the welding crack and reflected back from the welding crack; converting the reflected light into an electrical signal, and using the electrical signal as image data.
[0075] See also Figure 6 As shown in the structural diagram of the image sensor, when the image sensor is working, the light emitted by the light source module 104 is irradiated onto the scanned object (crack), and the scanned object (crack) generates reflected light, which then passes through the transparent cover 106, and part of the reflected light enters the lens 102. The reflected light coming out from the other end of the lens 102 is irradiated onto the photosensitive window of the photoelectric conversion chip 105, and the photoelectric conversion chip 105 converts the received optical signal into an electrical signal and outputs it as image information.
[0076] According to an optional embodiment of the present application, executing step S1504 includes the following steps: determining the number of pixel points corresponding to the width of the welding crack from the image data; determining the width information of the welding crack based on the number of pixel points corresponding to the width of the welding crack and the width of the photosensitive window of the photoelectric conversion chip.
[0077] In this step, see Fig.10 and Fig.11 ,like Fig.10 As shown in the figure, 61 is a photoelectric conversion chip, 62 is a linearly arranged photosensitive window, 63 is a crack, the width of the photosensitive window is a, the crack width is the value we want to measure, assuming it is n*a, then n is the value we want to measure, the following is a detailed description of the measurement process of n, when the light source is irradiated on the crack and the surrounding steel plate, the reflected light is converted into an electrical signal by the photoelectric conversion chip, the waveform of this electrical signal is as follows Fig.12 As shown, it can be seen that the output voltage at the steel plate is relatively high and uniform, and the electrical signal output at the crack is relatively low. Fig.12 In the graph, the Y axis represents the output voltage value (mV), and the X axis represents the pixel corresponding to the actual output of the sensor (the pixel corresponds to the photosensitive window 62, with a width of a). Fig.11 The number of pixels Xn-X1 corresponding to the crack width can be calculated, that is, n=Xn-X1, so we can now calculate the actual width of the crack n*a=(Xn-X1)*a.
[0078] An embodiment of the present application further provides a storage medium, the storage medium including a stored program, wherein when the program is running, the device where the storage medium is located is controlled to execute the above welding crack detection method.
[0079] The storage medium is used to store a program that performs the following functions: collecting image data of welding cracks; processing the image data of welding cracks to obtain width information of welding cracks; and sending the width information of welding cracks to a terminal device at a preset time interval.
[0080] An embodiment of the present application further provides a processor, which is used to run a program stored in a memory, wherein the above welding crack detection method is executed when the program is run.
[0081] The processor is used to run a program that performs the following functions: collecting image data of welding cracks; processing the image data of welding cracks to obtain width information of welding cracks; and sending the width information of welding cracks to a terminal device at a preset time interval.
[0082] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.
[0083] In the above embodiments of the present application, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.
[0084] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.
[0085] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.
[0086] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.
[0087] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or partly contributed to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which may be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, read-only memory (ROM, ReHLGDd-Only Memory), random access memory (RHLGDM, RHLGDndom HLGDccess Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.
[0088] The above is only a preferred embodiment of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.
Claims
1. A welding crack detection device, characterized in that: include: An image sensor is used to collect image data of a welding crack of a welded part to be detected, wherein the rigid structures on both sides of the welding crack are at right angles, and the image sensor is installed at a position directly above the welding crack, and the image sensor includes: a photoelectric conversion chip, and the photoelectric conversion chip spans a position directly above the welding crack; A digital processing device is connected to the image sensor and is used to obtain image data of the welding crack, determine width information of the welding crack according to the image data, and send the width information of the welding crack to a terminal device, wherein determining the width information of the welding crack according to the image data includes: Determine the number of pixels corresponding to the width of the welding crack from the image data; determine the width information of the welding crack according to the number of pixels corresponding to the width of the welding crack and the width of the photosensitive window of the photoelectric conversion chip; A cable is used to electrically connect the image sensor and the digital processing device.
2. The detection device according to claim 1, characterized in that: The welding crack detection device also includes: A power module is used to supply power to the image sensor and the digital processing device.
3. The detection device according to claim 1, characterized in that: The welding crack detection device also includes: The mounting portion is used to fix the welding crack detection device at a position directly above the welding crack.
4. The detection device according to claim 1, characterized in that: The digital processing device comprises: An image processor, connected to the image sensor via the cable, and used for processing the acquired image data of the welding crack to obtain width information of the welding crack; A communication device is communicatively connected to the image processor, and is used to receive a detection instruction from the terminal device, and send the width information of the welding crack to the terminal device at a preset time interval, wherein the detection instruction is used to instruct the welding crack detection device to start detecting the width information of the welding crack.
5. The detection device according to claim 1, characterized in that: The image sensor comprises: a frame, a lens, a circuit board, a light source module, a photoelectric conversion chip and a transparent cover plate, wherein The frame is used to support and protect components of the image sensor; The light source module is arranged inside the frame and is used to emit light to the welding crack; The lens is arranged inside the frame and is used to converge reflected light so that the reflected light is irradiated to the photoelectric conversion chip. The reflected light is the light emitted by the light source module and reflected back from the welding crack. The photoelectric conversion chip is arranged inside the frame and is used to convert the reflected light into an electrical signal and use the electrical signal as the image data; The circuit board is used to carry the photoelectric conversion chip and other circuits of the image sensor; The transparent cover is used for dust prevention.
6. The detection device according to claim 5, characterized in that: The number of the photoelectric conversion chips is at least 3 rows.
7. The detection device according to claim 5, characterized in that: The length direction of the photoelectric conversion chip is parallel to the width direction of the frame of the image sensor, and the chips are respectively across the positions just above and perpendicular to the welding cracks.
8. The detection device according to claim 5, characterized in that: The length direction of the photoelectric conversion chip and the width direction of the frame of the image sensor form a preset angle, and they respectively span the position directly above and perpendicular to the welding crack.
9. A welding crack detection system, characterized in that: include: The welding crack detection device, terminal device and welded part to be detected according to any one of claims 1 to 8, wherein: The welded part to be inspected has a welding crack, wherein the rigid structures on both sides of the welding crack are right angles; The terminal device is communicatively connected with the welding crack detection device, and is used to send a detection instruction to the welding crack detection device, wherein the detection instruction is used to instruct the welding crack detection device to start detecting the width information of the welding crack of the welding piece to be detected, and the image sensor in the welding crack detection device is installed at a position directly above the welding crack, and the image sensor includes: a photoelectric conversion chip, and the photoelectric conversion chip spans a position directly above the welding crack; the welding crack detection device detects the width information of the welding crack of the welding piece to be detected by the following method: acquiring image data of the welding crack, and determining the width information of the welding crack according to the image data, including: determining the number of pixel points corresponding to the width of the welding crack from the image data; determining the width information of the welding crack according to the number of pixel points corresponding to the width of the welding crack and the width of the photosensitive window of the photoelectric conversion chip.
10. A method for detecting welding cracks, characterized in that: The detection method is applied to the welding crack detection device according to any one of claims 1 to 8, and is used to detect the width information of the welding crack of the welded part to be detected, comprising: The image data of the welding crack is collected by an image sensor installed at a position directly above the welding crack, wherein the rigid structures on both sides of the welding crack are at right angles, and the image sensor includes: a photoelectric conversion chip, the photoelectric conversion chip spans a position directly above the welding crack perpendicularly; Processing the image data of the welding crack to obtain the width information of the welding crack includes: Determine the number of pixels corresponding to the width of the welding crack from the image data; determine the width information of the welding crack according to the number of pixels corresponding to the width of the welding crack and the width of the photosensitive window of the photoelectric conversion chip; The width information of the welding crack is sent to the terminal device at a preset time interval.
11. The method according to claim 10, characterized in that Collecting image data of the welding crack includes: emitting light toward the welding crack; Acquire reflected light reflected by the welding crack, wherein the reflected light is light emitted toward the welding crack and reflected back by the welding crack; The reflected light is converted into an electrical signal, and the electrical signal is used as the image data.
12. A storage medium, characterized in that: The storage medium includes a stored program, wherein when the program is executed, the device where the storage medium is located is controlled to execute the welding crack detection method according to any one of claims 10 to 11.
13. A processor, characterized in that: The processor is used to run a program stored in a memory, wherein the program, when running, executes the welding crack detection method described in any one of claims 10 to 11.
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