Workpiece leakproofness detection system, method and equipment and storage medium

Through the image acquisition unit and calculation module, the bubble information of the workpiece in the liquid is automatically identified, which solves the problems of low efficiency and poor accuracy of the existing workpiece seal detection methods, and achieves more efficient and accurate detection results.

CN119533784APending Publication Date: 2025-02-28BEIJING CO WHEELS TECH CO LTD
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Patent Information

Application Number
CN202311119123.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-08-31
Publication Date
2025-02-28

AI Technical Summary

Technical Problem

The existing workpiece seal detection methods are inefficient and have poor accuracy, and manual inspection can easily lead to missed inspection and missed inspection.

Method used

The image acquisition unit is used to collect the image of the workpiece in the liquid, and the bubble information in the image is identified through the calculation module to automatically detect the sealing of the workpiece.

Benefits of technology

It improves detection accuracy, reduces the impact of manual errors, shortens the time for inspection of bad workpieces, and improves production efficiency.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a workpiece leakproofness detection system, method and device and a storage medium, the system comprises a detection box body, an image acquisition unit and a calculation module, the detection box body is provided with a containing cavity, and the containing cavity is used for containing liquid for soaking a workpiece; the image acquisition unit is used for acquiring an image of the workpiece in the liquid; the calculation module is connected with the image acquisition unit and is used for receiving an image acquired by the image acquisition unit; and identifying image information in the image, and detecting the leakproofness of the workpiece according to the image information to obtain a detection result. According to the device, the image of the workpiece soaked in the liquid is automatically collected through the image collection unit, the image information in the image is recognized through the calculation module, and the image information is analyzed to obtain the detection result, so that the influence of errors or errors brought in the process of manually collecting the image and analyzing the image information on the detection result is reduced, and the detection accuracy is improved. And the detection precision is improved.
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Description

Technical Field

[0001] The present application belongs to the field of vehicle detection technology, and in particular, relates to a workpiece tightness detection system, method, equipment and storage medium. Background Art

[0002] The car water cooling controller has coolant flow channels and cavities. When there is a defect in the controller that causes coolant leakage, it will affect the driving safety of the car. Therefore, waterproof testing is required.

[0003] There are usually two ways to test the waterproofness of the controller. One is the differential pressure method for workpiece tightness detection, which involves injecting a certain pressure gas and judging whether there is a leak by the pressure difference. The other is the water immersion test, which involves placing the object to be tested in water and observing for a certain period of time to see whether bubbles will be generated.

[0004] Although the differential pressure method is efficient in detecting the tightness of workpieces, it has high requirements for ambient temperature conditions and needs to be in a constant temperature environment. In addition, the differential pressure method cannot determine the specific leak point. Traditional water immersion detection can effectively detect leak points, but it is inefficient and most of the detection is done by the human eye. However, due to the limitations of the human eye and visual fatigue caused by long-term observation, it is still possible to cause missed detection and false detection, resulting in poor detection accuracy of workpiece tightness detection. Summary of the invention

[0005] The embodiments of the present application provide a workpiece airtightness detection system, method, device and storage medium, which improve the detection accuracy of workpiece airtightness detection.

[0006] According to a first aspect of the present application, a workpiece tightness detection system is provided, the system comprising:

[0007] A detection box body, wherein the detection box body is provided with a containing cavity, and the containing cavity is used to contain liquid for immersing the workpiece;

[0008] An image acquisition unit, the image acquisition unit is used to acquire an image of the workpiece in the liquid;

[0009] The computing module is connected to the image acquisition unit, and is used for receiving the image acquired by the image acquisition unit; identifying the image information in the image; and detecting the airtightness of the workpiece according to the image information to obtain the detection result.

[0010] Optionally, the bubble information includes information on whether bubbles exist in the image, a motion trajectory of generated bubbles, a generation rate, and a volume of bubbles. The calculation module is specifically used to:

[0011] When the information on whether bubbles exist in the image indicates that bubbles exist in the image, it is determined that there is a leak in the workpiece; when the information on whether bubbles exist in the image indicates that bubbles do not exist in the image, it is determined that there is no leak in the workpiece;

[0012] In the case where there is a leak point on the workpiece, the intersection point of the motion trajectory and the workpiece is determined; the intersection point is determined as the leak point of the workpiece;

[0013] From the corresponding relationship among the preset generation rate, the preset bubble volume and the preset leakage point size, the leakage point size corresponding to the generation rate and the bubble volume is determined.

[0014] Optionally, the system further comprises:

[0015] The pressurizing unit is used to be connected with the workpiece to fill the cavity of the workpiece with gas before the image acquisition unit acquires the image of the workpiece in the liquid.

[0016] Optionally, the system further comprises:

[0017] A loading unit, the loading unit is used to install a pressurizing joint on the workpiece so that the workpiece is connected to the pressurizing unit through the pressurizing joint;

[0018] The unloading unit is used to dismantle the pressurized joint after the workpiece is pressurized by the pressurizing unit, so as to separate the pressurized joint from the workpiece.

[0019] Optionally, the system further comprises:

[0020] valve;

[0021] Liquid turbidity detector, used to detect the turbidity of liquid;

[0022] A water changing unit is connected to a liquid turbidity detector and is used to control the opening and closing of a valve according to the turbidity of the liquid, so that when the turbidity of the liquid exceeds a preset threshold, the liquid in the detection box is replaced.

[0023] Optionally, the system further comprises:

[0024] A lighting assembly is placed in the accommodating cavity.

[0025] Optionally, the system further comprises:

[0026] The air-drying component is used to air-dry the workpiece after the workpiece leaves the liquid.

[0027] Optionally, the system further comprises:

[0028] The vibration component is used to vibrate the workpiece to remove bubbles on the surface of the workpiece before the image acquisition unit acquires the image of the workpiece in the liquid.

[0029] Optionally, the system further comprises:

[0030] The transmission component is used to drive the workpiece to move so that the workpiece enters and / or leaves the liquid.

[0031] Optionally, the system further comprises:

[0032] The display module is connected to the computing module and is used to display the detection results.

[0033] Optionally, the system further comprises:

[0034] The storage module is connected to the computing module and is used for storing images.

[0035] Optionally, there are multiple image acquisition units, and each image acquisition unit is respectively arranged on a peripheral side of the detection box.

[0036] According to a second aspect of the present application, a method for detecting the tightness of a workpiece is provided. The method is applied to a computing module according to any one of the first aspects, and comprises:

[0037] receiving an image of the workpiece in the liquid acquired by an image acquisition unit;

[0038] Recognize image information in an image;

[0039] According to the image information, the airtightness of the workpiece is detected and the detection result is obtained.

[0040] Optionally, the method further comprises:

[0041] When the detection result indicates that there is a leak in the workpiece, obtaining a workpiece model of the workpiece;

[0042] Mark the leak point size at the location corresponding to the leak point on the workpiece model.

[0043] According to a third aspect of the present application, an embodiment of the present application provides a workpiece tightness detection device, which includes: a processor and a memory storing computer program instructions;

[0044] When the processor executes the computer program instructions, it implements the workpiece tightness detection method as described in any one of the second aspects.

[0045] According to the fourth aspect of the present application, an embodiment of the present application provides a computer storage medium, on which computer program instructions are stored. When the computer program instructions are executed by a processor, the workpiece airtightness detection method of any one of the second aspect is implemented.

[0046] The technical solution provided by the embodiments of the present application brings at least the following beneficial effects:

[0047] The embodiment of the present application provides a workpiece airtightness detection system, method, device and storage medium. The workpiece airtightness detection system includes a detection box, an image acquisition unit and a computing module. The detection box is provided with a containing cavity, and the containing cavity is used to hold the liquid for immersing the workpiece; the image acquisition unit is used to acquire the image of the workpiece in the liquid; the computing module is connected to the image acquisition unit, and the computing module is used to receive the image acquired by the image acquisition unit; the image information in the image is identified, and the airtightness of the workpiece is detected according to the image information to obtain the detection result. Based on this, the image acquisition unit is used to automatically acquire the image of the workpiece in the liquid, and the computing module is used to identify the image information in the image, and the image information is analyzed according to the image information to obtain the detection result, which reduces the influence of the errors or errors caused by the manual acquisition of images and the analysis of image information on the detection results, improves the detection accuracy, shortens the later troubleshooting time for defective workpieces to be detected, and improves production efficiency.

[0048] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The drawings herein are incorporated into the specification and constitute a part of the specification, illustrate embodiments consistent with the present application, and together with the specification are used to explain the principles of the present application, and do not constitute an improper limitation on the present application.

[0050] Figure 1 is a structural block diagram of a workpiece tightness detection system according to an exemplary embodiment;

[0051] Figure 2 is a flow chart of a method for detecting the tightness of a workpiece according to an exemplary embodiment;

[0052] Figure 3 is another flow chart of a method for detecting airtightness of a workpiece according to an exemplary embodiment;

[0053] Figure 4 It is a structural block diagram of a workpiece tightness detection device according to an exemplary embodiment.

[0054] Description of Figure Numbers

[0055] Label name Label name 100 Workpiece tightness detection system 108 Water exchange unit 101 Detection box 109 Lighting components 102 Image acquisition unit 110 Air Drying Components 103 Computing Module 111 Vibration components 104 Pressurization unit 112 Transmission components 105 Loading Unit 113 Display Module 106 Unloading unit 114 Storage Module 107 Liquid turbidity tester DETAILED DESCRIPTION

[0056] In order to more clearly understand the above-mentioned objectives, features and advantages of the present disclosure, the scheme of the present disclosure will be further described below. It should be noted that the embodiments of the present disclosure and the features in the embodiments can be combined with each other without conflict.

[0057] In the following description, many specific details are set forth to facilitate a full understanding of the present disclosure, but the present disclosure may also be implemented in other ways different from those described herein; it is obvious that the embodiments in the specification are only part of the embodiments of the present disclosure, rather than all of the embodiments.

[0058] As described in the background technology, traditional water immersion detection can effectively detect leaks, but the efficiency is low, and most of the detection is done by the human eye. However, due to the limitations of the human eye and visual fatigue caused by long-term observation, it is still possible to cause missed detections and false detections, resulting in poor workpiece airtightness detection results.

[0059] In order to solve the problems of the prior art, the embodiment of the present application collects images of workpieces immersed in liquid through an image acquisition unit, and processes the collected images through a computing module, and identifies bubble information of bubbles from the images, thereby detecting the airtightness of the workpiece, thereby generating a test result of the airtightness of the workpiece. Based on this, the influence of errors or errors caused by manual observation of bubble information on the test results is reduced, the test accuracy is improved, the later troubleshooting time for defective workpieces to be tested is shortened, and the production efficiency is improved.

[0060] Based on this, the present application provides a workpiece tightness detection system, method, device and storage medium. The following first introduces the workpiece tightness detection method provided in the embodiment of the present application. The system includes:

[0061] Figure 1 FIG. 1 shows a structural block diagram of a workpiece tightness detection system provided by an embodiment of the present application. Figure 1 As shown, in one embodiment, the system may include:

[0062] A detection box 101, wherein the detection box 101 is provided with a receiving cavity, and the receiving cavity is used to contain liquid for immersing the workpiece;

[0063] An image acquisition unit 102, the image acquisition unit 102 is used to acquire an image of the workpiece in the liquid;

[0064] The computing module 103 is connected to the image acquisition unit 102 and is used to receive the image acquired by the image acquisition unit 102; identify the image information in the image, detect the airtightness of the workpiece according to the image information, and obtain the detection result.

[0065] Optionally, the detection box 101 includes a bottom plate and side plates arranged around the bottom plate, the bottom plate and the side plates are arranged to form a receiving cavity, the receiving cavity is filled with liquid, and the workpiece is immersed in the liquid in the receiving cavity.

[0066] Specifically, the bottom plate and the side plates of the detection box 101 are both made of reflective materials, which can effectively reduce the influence of light refraction in the liquid and improve the clarity of the image captured by the image acquisition unit 102.

[0067] Optionally, the image acquisition unit 102 can be a camera device; specifically, the camera device can include a CCD (Charge Coupled Device) camera. The CCD camera is small in size, light in weight, has high-precision geometric position of photosensitizers and high spatial resolution, and also has a wide range of spectral response, which can effectively identify images of workpieces in liquids.

[0068] Preferably, there are multiple image acquisition units 102 , and each side plate is provided with an image acquisition unit 102 , so as to surround the workpiece, so that the image acquisition unit 102 can better acquire the image of the workpiece in the liquid.

[0069] Optionally, the computing module 103 is connected to the image acquisition unit 102 to obtain the image of the workpiece captured by the image acquisition unit 102. The computing module 103 processes the image according to the image to identify the image information in the image. When there are bubbles in the image information, the bubble information of the bubbles in the image is identified. Since the image is originally captured of the workpiece in the liquid, the corresponding bubbles are bubbles generated by the workpiece in the liquid. The bubbles generated in the liquid are formed because the residual air in the workpiece leaks out of the liquid. Therefore, there is a leakage point in the workpiece. Therefore, by further analyzing the bubble information, the airtightness of the workpiece can be judged, thereby obtaining the detection result of the workpiece. Correspondingly, the detection result indicates the position of the leakage point of the workpiece, the size of the leakage point, etc.

[0070] If there are no bubbles in the image information, it means that there is no leakage point in the workpiece, and the corresponding detection result indicates that the workpiece is intact.

[0071] Based on the above embodiment, the image of the workpiece in the liquid is automatically captured by the image acquisition unit 102, and the image information in the image is identified by the computing module 103, and the detection result is obtained by analyzing the image information, thereby reducing the impact of errors or mistakes caused by manual image capture and image information analysis on the detection results, improving the detection accuracy, shortening the later troubleshooting time for defective workpieces to be detected, and improving production efficiency.

[0072] In one embodiment, the bubble information includes information on whether bubbles exist in the image, at least one of a motion trajectory of generated bubbles, a generation rate, and a volume of bubbles. The calculation module 103 is specifically used for at least one of the following:

[0073] When the information on whether bubbles exist in the image indicates that bubbles exist in the image, it is determined that there is a leak in the workpiece; when the information on whether bubbles exist in the image indicates that bubbles do not exist in the image, it is determined that there is no leak in the workpiece;

[0074] In the case where there is a leak point on the workpiece, the intersection point of the motion trajectory and the workpiece is determined; the intersection point is determined as the leak point of the workpiece;

[0075] From the corresponding relationship among the preset generation rate, the preset bubble volume and the preset leakage point size, the leakage point size corresponding to the generation rate and the bubble volume is determined.

[0076] Optionally, the calculation module 103 identifies the image and determines whether there are bubbles in the image according to the contours of each feature in the image. If there are bubbles in the image, it is determined that there are leaks in the workpiece; otherwise, there are no leaks in the workpiece.

[0077] Optionally, after determining that there is a leak point in the workpiece, there is at least one bubble group in the image that generates bubbles from the same leak point. According to the positions of each bubble in the bubble group in the image, the movement trajectory of the bubble in the liquid can be determined, and the intersection point of the movement trajectory and the bubble is determined as the leak point of the workpiece.

[0078] More specifically, in one embodiment, there may be only one bubble in the bubble group in the image, so the calculation module 103 needs to obtain multiple consecutive images in the first time period, and obtain bubbles in the same bubble group from the multiple consecutive images, thereby determining the movement trajectory of the bubble from the multiple images.

[0079] Optionally, by acquiring multiple images within the first time period, target bubbles are identified from the multiple images respectively, and the displacement of the target bubbles within the first time period can be determined according to the positions of the target bubbles in each image, and then the generation rate of the target bubbles within the first time period can be determined; and the bubble volume of the bubble can be determined according to the bubble contour identified by the calculation module 103, and the size of the bubble volume can be judged according to the size of the bubble contour.

[0080] In addition, the preset bubble generation rate and the preset bubble volume correspond to the preset leakage size of the workpiece. Specifically, the preset bubble generation rate and the preset bubble volume can correspond to the preset leakage point size in the form of an interval. By determining the interval in which the bubble generation rate and the bubble volume are located, the leakage point size corresponding to the interval can be found.

[0081] Based on the above embodiment, by identifying whether there are bubbles in the image, it is determined whether there is a leak in the workpiece. After determining that there is a leak in the workpiece, the location of the leak in the workpiece and the size of the leak can be further determined based on the bubble information, thereby improving the convenience of leak detection in the workpiece. At the same time, the possibility of misjudgment is reduced by the judgment processing by the calculation module 103, thereby improving the accuracy of leak detection.

[0082] In one embodiment, the workpiece tightness detection system 100 further includes:

[0083] The pressurizing unit 104 is used to be connected to the workpiece to fill the cavity of the workpiece with gas before the image acquisition unit 102 acquires the image of the workpiece in the liquid.

[0084] Optionally, the pressurizing unit 104 may be a pneumatic pump, which is a common pressure tank pressurizing unit 104, and uses pneumatic power to deliver gas into the cavity of the workpiece. The pneumatic pump has stable air pressure, fast pressurization speed, and long service life.

[0085] Optionally, the pressurizing unit 104 may also be a manual pump, which is a simple and practical pressure tank pressurizing device, and can deliver air or other gases into the cavity of the workpiece by operating with a handle. The manual pump is cheap, easy to operate and maintain.

[0086] Based on the above embodiment, a pressurizing unit 104 is provided to punch the cavity in the workpiece so that the interior of the cavity in the workpiece is filled with high-pressure gas. Therefore, after the workpiece is immersed in the liquid, there is a huge pressure difference between the inside and outside of the workpiece. If there is a leak in the workpiece, the high-pressure gas inside the cavity of the workpiece will leak quickly from the leak, thereby forming bubbles in the liquid, thereby improving the accuracy of detecting the leak in the workpiece by the bubble method.

[0087] In one embodiment, the workpiece tightness detection system 100 further includes:

[0088] A loading unit 105, the loading unit 105 is used to install a pressurizing joint on the workpiece so that the workpiece is connected to the pressurizing unit 104 through the pressurizing joint;

[0089] The unloading unit 106 is used to dismantle the pressurized joint after the workpiece is pressurized by the pressurizing unit 104, so as to separate the pressurized joint from the workpiece.

[0090] Since the cavity of the workpiece needs to be filled with gas through the pressurizing unit 104, in order to facilitate the connection between the workpiece and the pressurizing unit 104, it is necessary to install a pressurizing joint on the workpiece through the loading unit 105, so that the workpiece can be quickly and stably connected to the pressurizing unit 104 for pressurized inflation; and after the pressurized inflation is completed, since the pressurized joint does not belong to the workpiece itself, it is necessary to use the unloading unit 106 to disassemble the pressurized joint and separate the pressurized joint from the workpiece, so that the pressurized joint can be reused, saving the use cost.

[0091] Based on the above embodiments, by setting the loading unit 105 and the unloading unit 106, the detachable pressurizing joint can be automatically and quickly installed, so that the pressurizing unit 104 can quickly and conveniently fill the cavity of the workpiece with gas, shortening the time for detecting the airtightness of the workpiece and improving the detection efficiency.

[0092] In one embodiment, the workpiece tightness detection system 100 further includes:

[0093] valve;

[0094] A liquid turbidity detector 107, used to detect the liquid turbidity of the liquid;

[0095] The water changing unit 108 is connected to the liquid turbidity detector 107 and is used to replace the liquid in the detection box 101 when the turbidity of the liquid exceeds a preset threshold.

[0096] As an example, common liquid turbidity detectors 107 include scattered light type, transmitted light type and transmitted scattered light type optical liquid turbidity detectors 107, which mainly use infrared light sources to scatter through liquid and judge the turbidity of the liquid based on the scattering results.

[0097] Based on the above embodiment, since the turbidity of the liquid will affect the image captured by the image acquisition unit 102, and thus cause errors or mistakes in the image recognition process of the computing module 103, in order to reduce the impact of the recognition error, the water changing unit 108 is connected to the liquid turbidity detector 107, so that when the liquid turbidity exceeds the threshold value, the water changing unit 108 opens the valve to discharge the liquid in the detection box 101, and after the liquid is discharged, closes the valve and re-injects liquid into the detection box 101, thereby replacing the liquid in the detection box 101, improving the clarity of the image captured by the image acquisition unit 102, thereby improving the image recognition effect of the computing module 103, and more accurately obtaining the bubble information in the image.

[0098] As an example, the liquid turbidity detector 107 is also connected to the computing module 103. The computing module 103 obtains the liquid turbidity through the liquid turbidity detector 107. When the computing module 103 recognizes the image to obtain the bubble information, it is also necessary to judge the actual volume, actual position and other information of the bubbles under the current turbidity based on the liquid turbidity, so as to reduce the error of the computing module 103 in recognizing the image caused by the liquid turbidity and improve the recognition effect of the computing module 103.

[0099] In one embodiment, the workpiece tightness detection system 100 further includes:

[0100] The lighting assembly 109 is placed in the accommodating cavity.

[0101] As an example, the lighting assembly 109 may include lighting appliances such as LED lamps and shadowless lamps.

[0102] Based on the above embodiment, by arranging the lighting assembly 109 in the accommodating cavity and using the lighting assembly 109 to provide lighting in the accommodating cavity, the image acquisition unit 102 can acquire clearer and more accurate images, thereby reducing the interference of the workpiece in the liquid environment with the image acquisition unit 102 in acquiring images.

[0103] In one embodiment, the workpiece tightness detection system 100 further includes:

[0104] The air-drying component 110 is used to air-dry the workpiece after the workpiece leaves the liquid.

[0105] As an example, the air-drying component 110 is responsible for air-drying the workpiece; specifically, the air-drying component 110 includes components such as a fan, a heating tube, and a temperature and humidity sensor.

[0106] Based on the above embodiment, the air-drying component 110 is provided to air-dry the workpiece, so that the workpiece can be quickly air-dried after leaving the liquid detection, so that the workpiece can be kept dry, and water droplets adhering to the surface of the workpiece can be avoided to cause oxidation of the workpiece, thereby effectively protecting the workpiece.

[0107] In one embodiment, the workpiece tightness detection system 100 further includes:

[0108] The vibration component 111 is used to vibrate the workpiece to remove bubbles on the surface of the workpiece before the image acquisition unit 102 acquires the image of the workpiece in the liquid.

[0109] As an example, the vibration component 111 may be a high-frequency vibrator, which utilizes high-frequency vibration to shake off bubbles attached to the surface of the workpiece in a short period of time.

[0110] Based on the above embodiment, the vibration component 111 is used to clean the workpiece before the image acquisition unit 102 acquires the image of the workpiece in the liquid, so that the attached bubbles on the surface of the workpiece are shaken off, thereby preventing the image acquisition unit 102 from acquiring the attached bubbles in the liquid, thereby improving the accuracy of the calculation module 103 in identifying the bubble information.

[0111] In one embodiment, the workpiece tightness detection system 100 further includes:

[0112] The transmission component 112 is used to drive the workpiece to move so that the workpiece enters and / or leaves the liquid.

[0113] As an example, the transmission assembly 112 includes a belt and a driving member, and the driving member rotates to drive the belt to move, so that the belt drives the workpiece to move, thereby causing the workpiece to enter and / or leave the liquid.

[0114] In other examples, the transmission component 112 may also adopt a gear transmission method including gears, chains, etc., and the present application does not limit the specific transmission method of the transmission component 112.

[0115] Based on the above embodiment, the possibility of manual handling of the workpiece is reduced by the transmission component 112, the transmission rate of the workpiece is increased, and the detection efficiency of the workpiece is improved.

[0116] In one embodiment, the workpiece tightness detection system 100 further includes:

[0117] The display module 113 is connected to the calculation module 103 and is used to display the detection result.

[0118] As an example, the display module 113 may include a computer display screen, an LED display screen, etc.

[0119] Based on the above embodiment, by setting up a connection between the display module 113 and the calculation module 103, and using the display module 113 to display the detection results, the operation and maintenance personnel of the workpiece airtightness detection system 100 can obtain the status of the workpiece more intuitively, thereby improving the applicability of the workpiece airtightness detection system 100.

[0120] In one embodiment, the workpiece tightness detection system 100 further includes:

[0121] The storage module 114 is connected to the calculation module 103 and is used for storing images.

[0122] As an example, the storage module 114 is connected to the calculation module 103 and can also store the detection results obtained by the calculation module 103 .

[0123] Based on the above embodiment, the images and detection results are stored through the storage module 114, so that the operation and maintenance personnel can obtain the original data information from the storage module 114. It can provide the reliability and persistence of the images and detection results, and provide support for the normal operation of the computing module 103 and the operation and maintenance personnel experience.

[0124] It should be noted that the application scenarios described in the above-mentioned embodiments of the present application are intended to more clearly illustrate the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided in the embodiments of the present application. Ordinary technicians in this field can know that with the emergence of new application scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.

[0125] Based on the same inventive concept, the present application also provides a method for detecting the tightness of a workpiece. The method is applied to the above-mentioned calculation module, specifically in combination with Figure 2 Provide detailed explanation.

[0126] Figure 2 A schematic diagram of a process of a workpiece tightness detection method provided by an embodiment of the present application is shown, which includes:

[0127] S201, receiving an image of a workpiece in a liquid acquired by an image acquisition unit;

[0128] S202, identifying image information in the image;

[0129] S203, detecting the airtightness of the workpiece according to the image information, and obtaining a detection result.

[0130] Based on the above embodiment, the image of the workpiece in the liquid is automatically captured by the image acquisition unit, and the image information in the image is identified by the computing module, and the detection result is obtained by analysis based on the image information, thereby reducing the impact of errors or mistakes caused by manual image capture and analysis of image information on the detection results, improving the detection accuracy, shortening the later troubleshooting time for defective workpieces to be detected, and improving production efficiency.

[0131] In order to better display the detection results, the present application also provides another implementation of the workpiece tightness detection method.

[0132] Figure 3 Another schematic diagram of the process of the workpiece tightness detection method provided by an embodiment of the present application is shown. Figure 3 As shown, the method also includes:

[0133] S301, when the detection result indicates that there is a leak in the workpiece, obtaining a workpiece model of the workpiece;

[0134] S302, marking the size of the leak point at a position corresponding to the leak point on the workpiece model.

[0135] Based on the above embodiment, by obtaining the workpiece model of the workpiece and then marking the leakage point on the workpiece model, the operation and maintenance personnel can intuitively determine the leakage point from the workpiece model and can also intuitively determine the leakage point size, thereby improving the applicability of the workpiece airtightness detection system.

[0136] In the above S301, during the manufacturing process of the workpiece, a corresponding three-dimensional workpiece model is provided, and the three-dimensional workpiece model corresponding to the workpiece can be directly imported.

[0137] In the above S302, since the position and size of the leak point have been determined, the leak point can be marked on the workpiece model according to the position of the leak point, and can be marked on the workpiece model in a proportional manner according to the size of the leak point.

[0138] The workpiece tightness detection method provided in the embodiment of the present application can achieve Figure 1 The various processes implemented by the workpiece tightness detection system embodiment can achieve the same technical effect. To avoid repetition, they will not be described here.

[0139] Figure 4 A schematic diagram of the hardware structure of a workpiece tightness detection device provided in an embodiment of the present invention is shown.

[0140] The workpiece tightness detection device may include a processor 401 and a memory 402 storing computer program instructions.

[0141] Specifically, the processor 401 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiment of the present invention.

[0142] Memory 402 may include a large capacity memory for data or instructions. By way of example and not limitation, memory 402 may include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a universal serial bus (USB) drive or a combination of two or more of these. In appropriate cases, memory 402 may include a removable or non-removable (or fixed) medium. In appropriate cases, memory 402 may be inside or outside of an integrated gateway disaster recovery device. In a specific embodiment, memory 402 is a non-volatile solid-state memory.

[0143] In certain embodiments, the memory 402 may include a read-only memory (ROM), a random access memory (RAM), a magnetic disk storage medium device, an optical storage medium device, a flash memory device, an electrical, optical or other physical / tangible memory storage device. Thus, typically, the memory 402 includes one or more tangible (non-transitory) computer-readable storage media (e.g., a memory device) encoded with software including computer-executable instructions, and when the software is executed (e.g., by one or more processors 401), it is operable to perform the operations described with reference to the method according to an aspect of the present application.

[0144] The processor 401 reads and executes the computer program instructions stored in the memory 402 to implement any one of the workpiece airtightness detection methods in the above embodiments.

[0145] In one example, the workpiece airtightness detection device may further include a communication interface 403 and a bus 404. As shown in the figure, the processor 401, the memory 402, and the communication interface 403 are connected through the bus 404 and communicate with each other.

[0146] The communication interface 403 is mainly used to implement the communication between the modules, devices, units and / or equipment in the embodiment of the present invention.

[0147] Bus 404 includes hardware, software or both. For example, but not limitation, bus 404 may include accelerated graphics port (AGP) or other graphics bus, enhanced industry standard architecture (EISA) bus, front side bus (FSB), hypertransport (HT) interconnection, industry standard architecture (ISA) bus, wireless bandwidth interconnection, low pin count (LPC) bus, memory bus, micro channel architecture (MCA) bus, peripheral control interconnect (PCI) bus, PCI-Express (PCI-X) bus, serial advanced technology attachment (SATA) bus, video electronics standard association local (VLB) bus or other suitable bus or two or more of these combinations. Where appropriate, bus 404 may include one or more buses 404. Although the present application embodiment describes and shows a specific bus 404, the present application considers any suitable bus 404 or interconnection.

[0148] The workpiece tightness detection device can be based on the current workpiece tightness detection method to achieve the combination Figure 1-Figure 3 The workpiece tightness detection method and workpiece tightness detection system 100 are described.

[0149] In addition, the embodiment of the present application also provides a computer program product, including computer program instructions, which can implement the steps and corresponding contents of the aforementioned method embodiment when the computer program product is executed by the processor 401.

[0150] It should be clear that the present application is not limited to the specific configuration and processing described above and shown in the figures. For the sake of simplicity, a detailed description of the known method is omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present application is not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order between the steps after understanding the spirit of the present application.

[0151] The functional blocks shown in the above-described block diagram can be implemented as hardware, software, firmware or a combination thereof. When implemented in hardware, it can be, for example, an electronic circuit, an application specific integrated circuit (ASIC), appropriate firmware, a plug-in, a function card, etc. When implemented in software, the elements of the present application are programs or code segments that are used to perform the required tasks. The program or code segment can be stored in a machine-readable medium, or transmitted on a transmission medium or a communication link by a data signal carried in a carrier wave. "Machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, optical fiber media, radio frequency (RF) links, etc. The code segment can be downloaded via a computer network such as the Internet, an intranet, etc.

[0152] It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, this application is not limited to the order of the above steps, that is, the steps can be performed in the order mentioned in the embodiment, or in a different order from the embodiment, or several steps can be performed simultaneously.

[0153] Aspects of the present disclosure are described above with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present disclosure. It should be understood that each box in the flowchart and / or block diagram and the combination of each box in the flowchart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable workpiece airtightness detection device to produce a machine so that these instructions executed by the processor of a computer or other programmable workpiece airtightness detection device enable the implementation of the function / action specified in one or more boxes of the flowchart and / or block diagram. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor, or a field programmable logic circuit. It can also be understood that each box in the block diagram and / or flowchart and the combination of boxes in the block diagram and / or flowchart can also be implemented by dedicated hardware that performs a specified function or action, or can be implemented by a combination of dedicated hardware and computer instructions.

[0154] The above is only a specific implementation of the present application. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working processes of the systems, modules and units described above can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here. It should be understood that the protection scope of the present application is not limited to this. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in this application, and these modifications or replacements should be included in the protection scope of this application.

Claims

1. A workpiece tightness detection system, characterized in that: The system comprises: A detection box, wherein the detection box is provided with a receiving cavity, and the receiving cavity is used to contain liquid for soaking the workpiece; An image acquisition unit, the image acquisition unit is used to acquire an image of the workpiece in the liquid; A computing module is connected to the image acquisition unit, and is used to receive the image acquired by the image acquisition unit; identify image information in the image, and detect the airtightness of the workpiece according to the image information to obtain a detection result.

2. The workpiece tightness detection system according to claim 1, characterized in that: The bubble information includes information on whether bubbles exist in the image, the motion trajectory of generated bubbles, the generation rate and the volume of bubbles. The calculation module is specifically used for: When the information about whether the bubble exists in the image indicates that the bubble exists in the image, it is determined that there is a leak in the workpiece; when the information about whether the bubble exists in the image indicates that the bubble does not exist in the image, it is determined that there is no leak in the workpiece; In the case where there is a leak in the workpiece, determining an intersection point between the motion trajectory and the workpiece; determining the intersection point as a leak point of the workpiece; From the correspondence between the preset generation rate, the preset bubble volume and the preset leakage point size, the leakage point size corresponding to the generation rate and the bubble volume is determined.

3. The workpiece tightness detection system according to claim 1, characterized in that: The system further comprises: A pressurizing unit is used to be connected to the workpiece to fill gas into the cavity of the workpiece before the image acquisition unit acquires the image of the workpiece in the liquid.

4. The workpiece tightness detection system according to claim 3, characterized in that: The system further comprises: A loading unit, the loading unit being used to install a pressurizing joint on the workpiece so that the workpiece is connected to the pressurizing unit through the pressurizing joint; An unloading unit is used to dismantle the pressurized joint after the workpiece is pressurized by the pressurizing unit, so as to separate the pressurized joint from the workpiece.

5. The workpiece tightness detection system according to claim 1, characterized in that: The system further comprises: valve; A liquid turbidity detector, used for detecting the liquid turbidity of the liquid; A water changing unit is connected to the liquid turbidity detector and is used to control the opening and closing of the valve according to the turbidity of the liquid, so that when the turbidity of the liquid exceeds a preset threshold, the liquid in the detection box is replaced.

6. The workpiece tightness detection system according to claim 1, characterized in that: The system further comprises: A lighting assembly is placed in the accommodating cavity.

7. The workpiece tightness detection system according to claim 1, characterized in that: The system further comprises: An air-drying component is used to air-dry the workpiece after the workpiece leaves the liquid.

8. The workpiece tightness detection system according to claim 1, characterized in that: The system further comprises: A vibration component is used to vibrate the workpiece to remove bubbles on the surface of the workpiece before the image acquisition unit acquires the image of the workpiece in the liquid.

9. The workpiece tightness detection system according to claim 1, characterized in that: The system further comprises: A transmission component is used to drive the workpiece to move so that the workpiece enters and / or leaves the liquid.

10. The workpiece tightness detection system according to any one of claims 1 to 9, characterized in that: The system further comprises: A display module is connected to the calculation module and is used to display the detection result.

11. The workpiece tightness detection system according to any one of claims 1 to 9, characterized in that: The system further comprises: A storage module is connected to the computing module and is used to store the image.

12. The workpiece tightness detection system according to any one of claims 1 to 9, characterized in that: There are multiple image acquisition units, and each of the image acquisition units is respectively arranged on the peripheral side of the detection box.

13. A method for detecting the tightness of a workpiece, characterized in that: The method is applied to the computing module according to any one of claims 1 to 12, and the method comprises: receiving the image of the workpiece in the liquid acquired by the image acquisition unit; identifying image information in the image; The airtightness of the workpiece is detected according to the image information to obtain a detection result.

14. The workpiece tightness detection method according to claim 13, characterized in that: The method further comprises: When the detection result indicates that there is a leak in the workpiece, obtaining a workpiece model of the workpiece; The size of the leak point is marked on the workpiece model at a position corresponding to the leak point.

15. A workpiece tightness detection device, characterized in that: The device comprises: a processor and a memory storing computer program instructions; When the processor executes the computer program instructions, the method according to any one of claims 13 to 14 is implemented.

16. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer program instructions, and when the computer program instructions are executed by a processor, the method according to any one of claims 13 to 14 is implemented.