A non-destructive flaw detection device and process for sealing strips

Abstract

The present invention discloses a nondestructive flaw detection device and process for sealing strips, wherein the nondestructive flaw detection device for sealing strips includes a defect detection mechanism and an information processing system, the defect detection mechanism and the information processing system are signal-connected, the defect detection mechanism includes an image collector and a near-infrared spectrometer; it also includes a first frame, a turntable is fixedly connected to the first frame, and the image collector and the near-infrared spectrometer are both connected to the turntable; it also includes feed rollers, there are gaps between the feed rollers, at least one feed roller is sleeved with a buffer and a limit plate, a first feed channel and a second feed channel are formed between the limit plates, the first feed channel has one and is located in the middle of the feed roller, and the second feed channel has several and is located on both sides of the feed roller. The invention has the advantages of detecting internal defects and external defects of the sealing strip at one time and is suitable for sealing strips of different sizes.

Description

Technical Field

[0001] The invention belongs to the technical field of defect detection, and in particular relates to a sealing strip nondestructive flaw detection device and process. Background Art

[0002] Rubber seals are usually used to prevent the leakage of gas, liquid or solid substances. If there are defects in the seal, such as cracks, wear or deformation, the sealing performance will be reduced, affecting the normal operation of the equipment or system. The failure of rubber seals may cause serious accidents, such as leakage, explosion, etc. Through non-destructive testing, potential problems can be discovered early, and corresponding repair or replacement measures can be taken to avoid possible failures and accidents. The purpose of non-destructive testing of rubber seals is to ensure its quality and performance and to detect potential defects or problems in time. Non-destructive testing can help evaluate the health status and remaining life of rubber seals, and perform maintenance and replacement in time to extend their service life and reduce costs and downtime. Rubber seals are widely used in various industries and fields, such as automotive, aerospace, construction, etc. For manufacturers, non-destructive testing is an important means to ensure product quality and meet standard requirements.

[0003] The flaw detection of sealing strips usually includes two aspects: the first is to detect the defects on its outer surface, and the second is to detect the defects inside it. However, the existing technology usually divides the detection into two steps, resulting in low efficiency. In addition, considering that different sealing strips have different sizes, the above technology also needs to be applicable to the detection of sealing strips of different sizes, which further increases the difficulty. Summary of the invention

[0004] In view of the problems existing in the prior art, the present invention provides a sealing strip non-destructive flaw detection device and process, which has the advantages of detecting internal and external defects of the sealing strip at one time and is suitable for sealing strips of different sizes, thereby solving the problems of the prior art.

[0005] The present invention is implemented as follows: a sealing strip non-destructive flaw detection device includes a defect detection mechanism and an information processing system, the defect detection mechanism and the information processing system are signal-connected, the defect detection mechanism includes an image collector and a near-infrared spectrometer; it also includes a first frame, a turntable is fixedly connected to the first frame, and the image collector and the near-infrared spectrometer are both connected to the turntable; it also includes feed rollers, there are gaps between the feed rollers, at least one feed roller is sleeved with a buffer and a limit plate, a first feed channel and a second feed channel are formed between the limit plates, the first feed channel has one and is located in the middle position of the feed roller, the second feed channel has several and is located on both sides of the feed roller, the second feed channels located on the same side of the first feed channel have different sizes, and the second feed channels located on both sides of the first feed channel are symmetrically arranged.

[0006] As a preferred embodiment of the present invention, the information processing system includes a preprocessing module, a feature extraction module, a defect detection module and a result evaluation module, and the preprocessing module, the feature extraction module, the defect detection module and the result evaluation module are all signal-connected to the image collector; the image collector is used to obtain the outer surface image of the sealing strip; the preprocessing module is used to preprocess the image, including denoising and contrast enhancement operations; the feature extraction module is used to extract features related to the defect from the image; the defect detection module uses machine learning or deep learning algorithms to analyze and classify the extracted features to determine whether there are defects; the result evaluation module is used to determine whether there are defects on the outer surface of the sealing strip based on the prediction results, and mark the defect position on the image.

[0007] As a preferred embodiment of the present invention, the information processing system also includes a data processing and analysis module and a sample comparison module, and the data processing and analysis module and the sample comparison module are both signal-connected to the near-infrared spectrometer; the data processing and analysis module is used to process and analyze the collected near-infrared spectral data; the sample comparison module is used to compare the near-infrared spectrum of the damaged area with the spectrum of the undamaged area or a known normal sample. If there is an obvious spectral difference, it can be judged as internal damage.

[0008] As a preferred embodiment of the present invention, the sealing strip non-destructive flaw detection device also includes a second frame, on which a first motor is provided, the output end of the first motor is fixedly connected to a first gear via a rotating shaft, racks are meshed on opposite sides of the first gear, and a feeding wheel is provided on the rack.

[0009] As a preferred embodiment of the present invention, two symmetrically arranged slideways are provided on the turntable, and sliders are slidably connected in the slideways, and the image collector and the near-infrared spectrometer are respectively located on the sliders; an electric push rod is fixedly connected to the middle of the turntable, and the telescopic end of the electric push rod is fixedly connected to the slider.

[0010] As a preferred embodiment of the present invention, the feed roller includes a third bracket, an active roller, a driven roller and a second motor; the third bracket has two; the second motor is provided with one, which is fixedly connected to one of the third brackets; the active roller is rotatably connected to the third bracket via a bearing, and one end of the active roller is connected to the output end of the second motor; the driven roller is rotatably connected to the third bracket via a bearing, and the driven roller is located on the upper side of the active roller.

[0011] As a preferred embodiment of the present invention, the buffer member is an annular airbag sleeve, which is fixedly sleeved on the active roller; the limiting plate is a circular plate, which is sleeved on the outer surface of the annular airbag sleeve.

[0012] As a preferred embodiment of the present invention, a gas channel is provided inside the driven roller, a dust removal hole connected to the gas channel is opened on the driven roller, and the gas channel is connected to a dust collector through a rotating joint; a cleaning member is arranged around the driven roller, and the cleaning member can extend into the first feed channel and / or the second feed channel.

[0013] As a preferred embodiment of the present invention, an inner cavity is provided inside the limiting plate, the inner cavity is connected to the inner circle of the limiting plate, a through hole connected to the inner cavity is opened on the surface of the limiting plate, an airbag is provided in the inner cavity, and the surface of the airbag can extend into the first feed channel or the second feed channel through the through hole.

[0014] A nondestructive flaw detection process for sealing strips uses a nondestructive flaw detection device for sealing strips and comprises the following steps: the sealing strips are placed in a first feeding channel and sequentially pass through an image collector and a near-infrared spectrometer to respectively collect image data and / or near-infrared spectrum data; an information processing system analyzes the image data to detect external defects of the sealing strips, and analyzes near-infrared spectrum data to detect internal defects of the sealing strips; when sealing strips of different sizes need to be detected, the sealing strips are placed in a second feeding channel of a matching size, and at this time a turntable is rotated to adjust the positions of the image collector and the near-infrared spectrometer, thereby detecting the sealing strips.

[0015] Compared with the prior art, the present invention has the following beneficial effects:

[0016] In the present invention, the sealing strip can be placed in the first feeding channel, and the image data and near-infrared spectrum data can be collected by the image collector and the near-infrared spectrometer in sequence. Of course, the image collector or the near-infrared spectrometer can also be used alone, and then the information processing system analyzes the image data to detect the external defects of the sealing strip, and analyzes the near-infrared spectrum data to detect the internal defects of the sealing strip. When it is necessary to detect sealing strips of different sizes, the sealing strip can be placed in the second feeding channel of the matching size, and the turntable is rotated at this time to adjust the position of the image collector and the near-infrared spectrometer, so as to detect the sealing strip. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is a schematic diagram of the three-dimensional structure of the sealing strip non-destructive flaw detection device provided by an embodiment of the present invention from a first viewing angle;

[0018] Figure 2 The embodiment of the present invention provides Figure 1 A schematic diagram of the enlarged structure of part A;

[0019] Figure 3 is a schematic diagram of the three-dimensional structure of a feed roller provided in an embodiment of the present invention;

[0020] Figure 4is a schematic diagram of the three-dimensional structure of the sealing strip non-destructive flaw detection device provided by an embodiment of the present invention from a second viewing angle;

[0021] Figure 5 The embodiment of the present invention provides Figure 4 A schematic diagram of the enlarged structure of part B;

[0022] Figure 6 The embodiment of the present invention provides Figure 4 A schematic diagram of the enlarged structure of the middle C part;

[0023] Figure 7 It is a system block diagram of an information processing system provided by an embodiment of the present invention.

[0024] In the figure: 1. image acquisition device; 2. near-infrared spectrometer; 3. first frame; 4. turntable; 5. feed roller; 51. third bracket; 52. active roller; 53. driven roller; 54. second motor; 6. buffer; 7. limit plate; 8. first feed channel; 9. second feed channel; 10. pre-processing module; 11. feature extraction module; 12. defect detection module; 13. result evaluation module; 14. data processing and analysis module; 15. sample comparison module; 16. second frame; 17. first motor; 18. first gear; 19. rack; 20. feed wheel; 21. slideway; 22. slider; 23. electric push rod; 24. gas channel; 25. dust removal hole; 26. cleaning part; 27. through hole; 28. airbag. DETAILED DESCRIPTION

[0025] In order to further understand the content, features and effects of the present invention, the following embodiments are given as examples and described in detail with reference to the accompanying drawings.

[0026] The structure of the present invention is described in detail below in conjunction with the accompanying drawings.

[0027] See also Figure 1-Figure 3A sealing strip nondestructive flaw detection device provided by an embodiment of the present invention includes a defect detection mechanism and an information processing system, wherein the defect detection mechanism and the information processing system are connected by signal, the defect detection mechanism includes an image collector 1 and a near-infrared spectrometer 2; further includes a first frame 3, a turntable 4 is fixedly connected to the first frame 3, and the image collector 1 and the near-infrared spectrometer 2 are both connected to the turntable 4; further includes feed rollers 5, wherein there are gaps between the feed rollers 5, at least one of the feed rollers 5 is sleeved with a buffer 6 and a limit plate 7, and a first feed channel 8 and a second feed channel 9 are formed between the limit plates 7, the first feed channel 8 has one and is located in the middle of the feed roller 5, the second feed channel 9 has a plurality of and is located on both sides of the feed roller 5, and the second feed channels 9 located on the same side of the first feed channel 8 have different sizes, and the second feed channels 9 located on both sides of the first feed channel 8 are symmetrically arranged.

[0028] When in use, the sealing strip can be placed in the first feeding channel 8, and pass through the image collector 1 and the near-infrared spectrometer 2 in sequence to collect image data and near-infrared spectrum data, respectively. Of course, the image collector 1 or the near-infrared spectrometer 2 can also be used alone, and then the information processing system analyzes the image data to detect external defects of the sealing strip, and analyzes the near-infrared spectrum data to detect internal defects of the sealing strip. When it is necessary to detect sealing strips of different sizes, the sealing strip can be placed in the second feeding channel 9 of the matching size, and the turntable 4 is rotated to adjust the position of the image collector 1 and the near-infrared spectrometer 2, so as to detect the sealing strip.

[0029] It should be noted that one sealing strip can be detected by the image collector 1 or the near-infrared spectrometer 2, or one sealing strip can be detected by the image collector 1 and another sealing strip can be detected by the near-infrared spectrometer 2 at the same time. The sealing strips can be detected in different ways to improve the detection efficiency.

[0030] Preferably, the image collector 1 and the near infrared spectrometer 2 are symmetrically arranged on both sides of the turntable 4. When the image collector 1 and the near infrared spectrometer 2 are aligned and both are located on the upper side of the feeding channel, the sealing strip in the first feeding channel 8 can be imaged and infrared light detected at the same time; when tilted at a certain angle, the rubber strip in the second feeding channel 9 can be detected respectively.

[0031] See also Figure 7, the information processing system includes a preprocessing module 10, a feature extraction module 11, a defect detection module 12 and a result evaluation module 13, and the preprocessing module 10, the feature extraction module 11, the defect detection module 12 and the result evaluation module 13 are all connected to the image collector 1 by signal; the image collector 1 is used to obtain the outer surface image of the sealing strip; the preprocessing module 10 is used to preprocess the image, including denoising and contrast enhancement operations to improve the accuracy of subsequent processing; the feature extraction module 11 is used to extract features related to defects from the image. For example, features such as edges, textures, and colors can be extracted. The defect detection module 12 uses machine learning or deep learning algorithms to analyze and classify the extracted features to determine whether there are defects. A binary classification model can be used to train normal samples and defective samples and predict them on new images. The result evaluation module 13 is used to determine whether there are defects on the outer surface of the sealing strip according to the prediction results, and mark the defect position on the image for subsequent processing. Through this setting, computer vision technology can be used to detect defects on the outer surface of the sealing strip through image acquisition.

[0032] See also Figure 7 , the information processing system also includes a data processing and analysis module 14 and a sample comparison module 15, and the data processing and analysis module 14 and the sample comparison module 15 are both signal-connected to the near-infrared spectrometer 2; the data processing and analysis module 14 is used to process and analyze the collected near-infrared spectrum data. Statistical analysis, machine learning and other methods can be used to detect internal damage by comparing the spectral difference between the damaged area and the normal area. The sample comparison module 15 is used to compare the near-infrared spectrum of the damaged area with the spectrum of the undamaged area or a known normal sample. If there is an obvious spectral difference, it can be judged as internal damage.

[0033] The specific process is: use the near-infrared spectrometer 2 to scan the rubber material or collect near-infrared spectrum data. Pay attention to selecting an appropriate near-infrared wavelength range. According to the characteristics of the rubber material, select a suitable near-infrared wavelength range for detection, usually between 700 nanometers and 2500 nanometers. The data processing and analysis module 14 processes and analyzes the collected near-infrared spectrum data. Statistical analysis, machine learning and other methods can be used to detect internal damage by comparing the spectral difference between the damaged area and the normal area. The sample comparison module 15 compares the near-infrared spectrum of the damaged area with the spectrum of the undamaged area or a known normal sample. If there is a significant spectral difference, it can be judged as internal damage. Near-infrared technology can penetrate the surface of the rubber material and identify the properties and state of the material by measuring and analyzing the reflected or absorbed near-infrared spectrum. By comparing the difference in the reflected spectrum between the damaged area and the normal area, internal damage to the rubber material, such as cracks, deterioration or foreign matter, can be detected.

[0034] See also Figure 4 and Figure 5 The sealing strip non-destructive flaw detection device also includes a second frame 16, on which a first motor 17 is provided, and an output end of the first motor 17 is fixedly connected to a first gear 18 via a rotating shaft, and racks 19 are meshed on opposite sides of the first gear 18, and a feeding wheel 20 is provided on the rack 19.

[0035] The feeding wheel 20 has the following functions:

[0036] First, the two feeding wheels 20 can be combined together to support the tested sealing strip in the first feeding channel 8, or to move the material out (the feeding wheels 20 can be driven by a motor, etc.);

[0037] Second, the first motor 17 can drive the racks 19 to move away from each other through the gear, so that the two feeding wheels 20 can move away from each other to both sides, so that the feeding wheels 20 are aligned with a second feeding channel 9, and the tested sealing strip in the second feeding channel 9 can be supported to prevent tilting, which is convenient for unloading;

[0038] Third, when the sealing strip in the second feeding channel 9 needs to be inspected by the image collector 1 and the near infrared spectrometer 2, the feeding wheel 20 redirects the sealing strip. For example, the sealing strip first passes through the second feeding channel 9 on one side for image acquisition, and then is redirected by the feeding wheel 20 to enter the second feeding channel 9 on the other side for inspection by the near infrared spectrometer 2.

[0039] See also Figure 6The turntable 4 is provided with two symmetrically arranged slideways 21, each of which is slidably connected with a slider 22, and the image collector 1 and the near-infrared spectrometer 2 are respectively located on the sliders 22; an electric push rod 23 is fixedly connected to the middle of the turntable 4, and the telescopic end of the electric push rod 23 is fixedly connected to the slider 22. The positions of the image collector 1 and the near-infrared spectrometer 2 can be further changed.

[0040] See also Figure 3 The feed roller 5 includes a third bracket 51, a driving roller 52, a driven roller 53 and a second motor 54; the third bracket 51 has two, the second motor 54 has one, and is fixedly connected to one of the third brackets 51, the driving roller 52 is rotatably connected to the third bracket 51 through a bearing, and one end of the driving roller 52 is connected to the output end of the second motor 54, the driven roller 53 is rotatably connected to the third bracket 51 through a bearing, and the driven roller 53 is located on the upper side of the driving roller 52.

[0041] See also Figure 3 The buffer member 6 is an annular airbag sleeve, which is fixedly sleeved on the active roller 52; the limit plate 7 is a circular plate, which is sleeved on the outer surface of the annular airbag sleeve. When in use, on the one hand, the annular airbag sleeve and the sealing strip fit together, which can play a role of shifting and buffering. On the other hand, the annular airbag sleeve can expand after being filled with a large amount of gas, thereby fixing the limit plate 7 to prevent it from moving. And by releasing the gas in the annular airbag sleeve, the position of the limit plate 7 can be adjusted.

[0042] See also Figure 3 The driven roller 53 is provided with a gas channel 24 inside, and a dust removal hole 25 connected to the gas channel 24 is opened on the driven roller 53. The gas channel 24 is connected to a dust collecting member through a rotary joint; a cleaning member 26 is arranged around the driven roller 53, and the cleaning member 26 can extend into the first feeding channel 8 and / or the second feeding channel 9. When feeding the sealing strip, its surface can also be cleaned, thereby improving the detection effect. The dust collecting member can be set as a vacuum cleaner, and the cleaning member 26 can be set as a brush, which will not be described in detail here.

[0043] See also Figure 2The limiting plate 7 has an inner cavity inside, and the inner cavity is connected to the inner circle of the limiting plate 7. The surface of the limiting plate 7 is provided with a through hole 27 connected to the inner cavity. The inner cavity has an airbag 28, and the surface of the airbag 28 can extend to the first feed channel 8 or the second feed channel 9 through the through hole 27. When in use, the annular airbag sleeve squeezes the airbag 28, so that more of the airbag 28 extends into the first feed channel 8 or the second feed channel 9, thereby increasing the friction force on the sealing strip to prevent slipping, and vice versa, it can also reduce the friction force on the sealing strip. It should be noted that Figure 2 The middle airbag 28 does not extend to the first material delivery channel 8 or the second material delivery channel 9 , but by inflating the annular airbag sleeve, the annular airbag sleeve can squeeze the airbag 28 , thereby extending the airbag 28 into the first material delivery channel 8 or the second material delivery channel 9 .

[0044] A sealing strip nondestructive flaw detection process uses the sealing strip nondestructive flaw detection device and includes the following steps:

[0045] Step S1, the sealing strip is placed in the first feeding channel 8, and passes through the image collector 1 and the near-infrared spectrometer 2 in sequence to collect image data and / or near-infrared spectrum data respectively;

[0046] Step S2, the information processing system analyzes the image data to detect external defects of the sealing strip, and analyzes the near infrared spectrum data to detect internal defects of the sealing strip;

[0047] Step S3, when it is necessary to detect sealing strips of different sizes, the sealing strips are placed in the second feeding channel 9 with matching sizes, and the turntable 4 is rotated to adjust the positions of the image collector 1 and the near-infrared spectrometer 2 to detect the sealing strips.

[0048] Working principle of the present invention:

[0049] When in use, the sealing strip can be placed in the first feeding channel 8, and the image data can be collected by the image collector 1 and the near-infrared spectrometer 2 in sequence, and the image data can be collected by the image collector 1 and the near-infrared spectrometer 2 respectively. Of course, the image collector 1 or the near-infrared spectrometer 2 can also be used alone, and then the information processing system analyzes the image data to detect the external defects of the sealing strip, and analyzes the near-infrared spectrometer data to detect the internal defects of the sealing strip. When it is necessary to detect sealing strips of different sizes, the sealing strip can be placed in the second feeding channel 9 of matching size. At this time, the turntable 4 is rotated to adjust the position of the image collector 1 and the near-infrared spectrometer 2, so as to detect the sealing strip. One sealing strip can be detected by the image collector 1 or the near-infrared spectrometer 2, or one sealing strip can be detected by the image collector 1 and another sealing strip can be detected by the near-infrared spectrometer 2 at the same time. The sealing strip can be detected in different ways to improve the detection efficiency.

[0050] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0051] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A nondestructive flaw detection device for sealing strips, comprising a defect detection mechanism and an information processing system, wherein the defect detection mechanism and the information processing system are connected by signals. Features: The defect detection mechanism comprises an image collector (1) and a near-infrared spectrometer (2); It also comprises a first frame (3), a rotating disk (4) being fixedly connected to the first frame (3), and the image collector (1) and the near-infrared spectrometer (2) are both connected to the rotating disk (4); It also includes feed rollers (5), wherein there is a gap between the feed rollers (5), at least one of the feed rollers (5) is sleeved with a buffer (6) and a limit plate (7), and a first feed channel (8) and a second feed channel (9) are formed between the limit plates (7), the first feed channel (8) having one and being located in the middle of the feed roller (5), the second feed channel (9) having a plurality and being located on both sides of the feed roller (5), and the second feed channels (9) located on the same side of the first feed channel (8) having different sizes, and the second feed channels (9) located on both sides of the first feed channel (8) being symmetrically arranged with each other; The feed roller (5) comprises a third bracket (51), a driving roller (52), a driven roller (53) and a second motor (54); The third bracket (51) has two; The second motor (54) is provided with a fixed connection to one of the third brackets (51); The active roller (52) is rotatably connected to the third bracket (51) via a bearing, and one end of the active roller (52) is connected to the output end of the second motor (54); The driven roller (53) is rotatably connected to the third bracket (51) via a bearing, and the driven roller (53) is located on the upper side of the driving roller (52); The buffer member (6) is an annular airbag sleeve, and the annular airbag sleeve is fixedly sleeved on the active roller (52); The limiting plate (7) is a circular plate, and the limiting plate (7) is sleeved on the outer surface of the annular airbag sleeve; An inner cavity is provided inside the limiting plate (7), the inner cavity is communicated with the inner circle of the limiting plate (7), a through hole (27) is provided on the surface of the limiting plate (7) and is communicated with the inner cavity, an air bag (28) is provided in the inner cavity, and the surface of the air bag (28) can extend into the first material delivery channel (8) or the second material delivery channel (9) through the through hole (27); the annular air bag sleeve is inflated so that the annular air bag sleeve squeezes the air bag (28), thereby extending the air bag (28) into the first material delivery channel (8) or the second material delivery channel (9); The sealing strip non-destructive flaw detection device further comprises a second frame (16), a first motor (17) being provided on the second frame (16), an output end of the first motor (17) being fixedly connected to a first gear (18) via a rotating shaft, racks (19) being meshed on opposite sides of the first gear (18), and a feeding wheel (20) being provided on the rack (19).

2. A sealing strip nondestructive flaw detection device as claimed in claim 1, Features: The information processing system comprises a preprocessing module (10), a feature extraction module (11), a defect detection module (12) and a result evaluation module (13), and the preprocessing module (10), the feature extraction module (11), the defect detection module (12) and the result evaluation module (13) are all signal-connected to the image acquisition device (1); The image collector (1) is used to acquire an image of the outer surface of the sealing strip; the preprocessing module (10) is used to preprocess the image, including denoising and contrast enhancement operations; the feature extraction module (11) is used to extract features related to defects from the image; The defect detection module (12) uses a machine learning or deep learning algorithm to analyze and classify the extracted features to determine whether there are defects; the result evaluation module (13) is used to determine whether there are defects on the outer surface of the sealing strip based on the prediction results, and mark the defect position on the image.

3. A sealing strip nondestructive flaw detection device as claimed in claim 2, Features: The information processing system further comprises a data processing and analysis module (14) and a sample comparison module (15), and the data processing and analysis module (14) and the sample comparison module (15) are both signal-connected to the near-infrared spectrometer (2); the data processing and analysis module (14) is used to process and analyze the collected near-infrared spectrum data; the sample comparison module (15) is used to compare the near-infrared spectrum of the damaged area with the spectrum of an undamaged area or a known normal sample; if there is an obvious spectral difference, it can be judged as internal damage.

4. A sealing strip nondestructive flaw detection device as claimed in claim 1, Features: The rotating disk (4) is provided with two symmetrically arranged slideways (21), each of the slideways (21) being slidably connected with a slider (22), and the image collector (1) and the near-infrared spectrometer (2) are respectively located on the slider (22); An electric push rod (23) is fixedly connected to the middle of the turntable (4), and a telescopic end of the electric push rod (23) is fixedly connected to the slider (22).

5. A sealing strip nondestructive flaw detection device as claimed in claim 1, Features: The driven roller (53) is provided with a gas passage (24) inside, the driven roller (53) is provided with a dust removal hole (25) connected to the gas passage (24), and the gas passage (24) is connected to a dust collecting member via a rotary joint; A cleaning member (26) is disposed around the driven roller (53), and the cleaning member (26) can extend into the first material conveying channel (8) and / or the second material conveying channel (9).

6. A non-destructive testing process for sealing strips, It is characterized in that The sealing strip nondestructive flaw detection device according to any one of claims 1 to 5 is used, and comprises the following steps: The sealing strip is placed in the first material feeding channel (8), and passes through the image collector (1) and the near-infrared spectrometer (2) in sequence to respectively collect image data and / or collect near-infrared spectrum data; The information processing system analyzes the image data to detect external defects of the sealing strip, and analyzes the near-infrared spectrum data to detect internal defects of the sealing strip; When it is necessary to inspect sealing strips of different sizes, the sealing strips are placed in a second material delivery channel (9) of matching size, and the turntable (4) is rotated to adjust the positions of the image collector (1) and the near-infrared spectrometer (2), thereby inspecting the sealing strips.

Images