Strip steel post-processing line product defect inspection analysis system and method

Abstract

The application relates to the technical field of intelligent manufacturing, in particular to a strip steel post-processing line product defect inspection and analysis system and method, which comprises a strip steel conveying line, a detection area arranged on a conveying path, a first detection area and a second detection area, the second detection area being located at the rear end of the first detection area, a polishing device being arranged in the first detection area, a data acquisition system comprising a first image acquisition unit, the first image acquisition unit being located on the conveying path between the polishing device and the second detection area, and a defect diagnosis system connected with the data acquisition system and used for obtaining defect diagnosis results and display and / or transmission. The application can improve the relevance of data and diagnosis results in different detection items, so that detection items can be adjusted in real time, detection resource waste can be reduced, repeated detection and missed detection can be effectively prevented, detection cost can be effectively reduced, and the overall defect diagnosis efficiency can be improved.

Description

Technical Field

[0001] This invention relates to the field of intelligent manufacturing technology, and in particular to a product defect inspection and analysis system and method for strip steel post-processing lines. Background Technology

[0002] Strip steel generally refers to sheet and strip products such as rolled hard plates, cold-rolled plates, and coated plates produced by continuous production lines in the steel industry. The requirements for product quality are very high. Not only are there no shaped or positional defects or other surface defects visible to the naked eye, but there are also no hidden defects or extremely small defects that are not visible to the naked eye. Therefore, multiple tests are required before the strip steel leaves the production line. Nowadays, with the development of intelligent manufacturing technology, the strip steel production line process is gradually becoming automated and intelligent.

[0003] In existing technologies, strip steel can be continuously conveyed from production to off-line via a conveyor line composed of continuous rollers and other equipment. To avoid frequent downtime for inspection, a large number of manual inspection stations or automated equipment inspection stations need to be set up on the conveyor line to meet the needs of strip steel defect detection during continuous transmission. The existing strip steel conveying and inspection process has at least the following defects: a large number of manual inspection stations and automated equipment inspection stations perform inspections independently according to pre-set actions. On the one hand, this greatly increases the costs of labor, equipment, and energy. On the other hand, each inspection station conducts inspections independently, and the inspection results lack real-time correlation. It is difficult to adjust the inspection actions in a targeted manner based on the existing inspection results, resulting in over-inspection, missed inspection, and invalid inspection, leading to low overall efficiency and high cost of strip steel inspection. Summary of the Invention

[0004] In view of the above-mentioned shortcomings of the prior art, the purpose of the present invention is to provide a product defect inspection and analysis system and method for strip steel post-processing lines, which solves the problems in the prior art where strip steel inspection is carried out independently at each inspection station, resulting in high labor, equipment and energy costs, lack of real-time correlation between inspection results, difficulty in adjusting inspection actions based on existing inspection results, and easy occurrence of over-inspection, missed inspection, invalid inspection, etc.

[0005] To achieve the above and other related objectives, in a first aspect, this application provides a product defect inspection and analysis system for a strip steel post-processing line, comprising:

[0006] A strip conveyor line is used to transport strip steel to be inspected along a conveying path;

[0007] An inspection area is set on the conveying path. The inspection area includes a first inspection area for automatic defect detection and a second inspection area for manual defect detection. The second inspection area is located at the rear end of the first inspection area. A grinding device is set in the first inspection area.

[0008] The data acquisition system includes a first image acquisition unit, which is located on the transmission path between the polishing equipment and the second detection area;

[0009] A defect diagnosis system, connected to the data acquisition system, is used to process the data acquired by the data acquisition system according to a preset data processing method to obtain defect diagnosis results, and to display and / or transmit the defect diagnosis results.

[0010] Furthermore, the defect diagnosis system includes:

[0011] The data input module is used to receive diagnostic data of the strip steel to be inspected. The diagnostic data includes at least one of a diagnostic image and diagnostic production data. The diagnostic production data includes multiple diagnostic sub-data. The diagnostic image includes an image acquired by the data acquisition system.

[0012] The defect identification module is used to identify the image to be diagnosed and to compare the sub-data to be diagnosed with preset standard sub-data to obtain the data qualification status of each sub-data to be diagnosed.

[0013] The knowledge base is used to store multiple preset defect causes and multiple preset diagnostic results, as well as the correspondence between preset defect causes and preset diagnostic results;

[0014] The defect cause determination module is used to determine the defect cause based on at least one of the defect image and abnormal data, wherein the abnormal data includes sub-data to be diagnosed whose data qualification status is unqualified;

[0015] The defect diagnosis module is used to query the knowledge base based on the cause of the defect to obtain the diagnosis result of the strip steel to be inspected.

[0016] Furthermore, if the image to be diagnosed is of the strip steel to be inspected before grinding, the defect recognition module is used to fuse multiple images of the strip steel surface before grinding acquired under different lighting conditions to obtain a fused image; identify each crystal flower in the fused image and determine the initial crystal flower size of each crystal flower; determine the crystal flower uniformity and crystal flower characterization size based on the differences in the initial crystal flower sizes of all crystal flowers; determine the crystal flower quality data of the strip steel to be inspected based on at least one of the crystal flower uniformity, the crystal flower characterization size, and the number of crystal flowers, wherein the number of crystal flowers is the number of crystal flowers identified in the fused image.

[0017] Furthermore, the data acquisition system also includes a second image acquisition unit, which is located on the conveying path at the front end of the grinding equipment and is used to acquire images of the strip steel to be inspected before grinding.

[0018] Furthermore, the beginning of the strip conveyor line is connected to the strip production line, and a first information connection path is set between the defect diagnosis system and the strip production line. The defect diagnosis system obtains the production parameter information of the strip to be inspected from the strip production line through the first information connection path, and uses it as an influencing factor of the defect diagnosis result.

[0019] Furthermore, a second information connection path is provided between the defect diagnosis system and the second detection area, and the second detection area uses the second information connection path to obtain at least the defect diagnosis result of the strip steel to be inspected sent by the defect diagnosis system.

[0020] Furthermore, the strip steel to be inspected is horizontally conveyed within the first inspection area. A liftable horizontal platform is provided below the grinding equipment. A felt laying mechanism is provided in the first inspection area. The felt laying mechanism includes a roller and a winch respectively provided on both sides of the horizontal platform, and a felt located above the horizontal platform. One end of the felt is connected to the winch and is pulled taut by the winch, and the other end is connected to the roller and rotates with the roller. By rotating the roller, the felt is laid on the horizontal platform or wound up on the roller.

[0021] Furthermore, there are two first horizontal moving parts, which are respectively located on both sides of the conveying path of the strip to be inspected. The second driving assembly also includes a telescopic part connected between the two first horizontal moving parts. The telescopic part is hinged to the first horizontal moving parts at both ends. The second horizontal moving part is connected to the telescopic part. Each first horizontal moving part independently drives one end of the telescopic part to move.

[0022] Furthermore, the grinding end is magnetically connected to the second horizontal moving part.

[0023] Secondly, this application provides a method for inspecting and analyzing product defects in a strip steel post-processing line, applied to the strip steel post-processing line product defect inspection and analysis system described above, the method comprising:

[0024] The strip steel to be inspected is conveyed along the conveying path, and defect detection is performed on the strip steel to be inspected in the first detection area. The defect detection includes surface grinding.

[0025] The data acquisition system collects defect data of the strip steel to be inspected and sends it to the defect diagnosis system;

[0026] The defect diagnosis system performs defect diagnosis based on the defect data and obtains the defect diagnosis results;

[0027] The defect diagnosis system displays and / or sends the defect diagnosis results to a preset receiving end to guide the receiving end in implementing defect response measures.

[0028] Furthermore, the receiving end includes a first detection area, and after the defect data is sent to the defect diagnosis system, the specific steps performed by the defect diagnosis system include:

[0029] The defect data includes an initial surface image of the strip to be inspected, which is an image taken after the initial polishing of the strip surface.

[0030] The initial surface image is initially identified. If a defect is identified, grinding suggestions are generated based on the defect location. The grinding suggestions guide the re-grinding of the defect location of the strip to be inspected in the first detection area.

[0031] Furthermore, after the first detection area is polished again, the method includes:

[0032] Obtain a processed surface image of the strip steel to be inspected;

[0033] The defect diagnosis system re-identifies the processed surface image to obtain a re-identification result, thereby completing the defect diagnosis of the defect location.

[0034] Furthermore, the receiving end includes a second detection area. After the defect diagnosis system displays and / or sends the defect diagnosis result to the preset receiving end, the method includes: based on the defect diagnosis result, the second detection area performs a re-inspection on the strip steel to be inspected.

[0035] The above-described method for defect inspection and analysis of strip steel post-processing lines has at least the following beneficial effects:

[0036] I. The data acquisition system collects strip steel data from the inspection area and aggregates it to the defect diagnosis system for unified diagnosis. This improves the correlation between data and diagnostic results in different inspection items, so as to facilitate real-time adjustment of inspection items, reduce waste of inspection resources, and save the labor costs required for defect diagnosis based on data.

[0037] Second, the inspection area is divided into automatic and manual inspection methods. Based on the defect diagnosis of the defect diagnosis system, it can accurately locate the location that needs to be re-inspected, and accurately re-inspect or confirm by adjusting the manual inspection items, effectively preventing duplicate inspections and missed inspections, effectively reducing labor costs and improving the overall efficiency of defect diagnosis. Attached Figure Description

[0038] Figure 1This is a schematic diagram illustrating an application scenario of a strip steel post-processing line product defect inspection and analysis system, as shown in an exemplary embodiment of this application.

[0039] Figure 2 This is a schematic diagram illustrating the module composition of a defect diagnosis system according to an exemplary embodiment of this application;

[0040] Figure 3 This is a schematic diagram illustrating an application scenario where a grinding device performs grinding within a first detection area, as shown in an exemplary embodiment of this application.

[0041] Figure 4 This is a structural diagram of a polishing apparatus shown in an exemplary embodiment of this application;

[0042] Figure 5 A flowchart illustrating a product defect inspection and analysis method for a strip steel post-processing line, as shown in an exemplary embodiment of this application;

[0043] Figure 6 A schematic diagram of an electronic device for a product defect inspection and analysis method applicable to strip steel post-processing lines is shown. Detailed Implementation

[0044] The following specific embodiments illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification.

[0045] It should be understood that the structures, proportions, sizes, etc., illustrated in the accompanying drawings of this specification are merely for illustrative purposes to aid those skilled in the art and are not intended to limit the scope of the invention. Therefore, they have no substantial technical significance. Any modifications to the structure, changes in proportions, or adjustments to size, without affecting the effectiveness and purpose of the invention, should still fall within the scope of the technical content disclosed in this invention. Furthermore, the terms such as "upper," "lower," "left," "right," "middle," "first," and "second" used in this specification are merely for clarity and are not intended to limit the scope of the invention. Changes or adjustments to their relative relationships, without substantially altering the technical content, should also be considered within the scope of the invention.

[0046] First, it's worth noting that in existing technologies, strip steel, being a continuous plate and strip structure, generally needs to be transported off the production line via an assembly line. This includes assembly line production lines composed of conveyor belts, belts, and roller groups. Strip steel post-processing lines typically refer to production lines that perform surface treatment and heat treatment on strip steel after it has been rolled and formed, including but not limited to galvanizing, annealing, and color coating processes. Strip steel post-processing line product defect inspection and analysis refers to the testing and analysis of the strip steel after post-processing to identify any defects in the strip steel products. Strip steel testing includes inspection using equipment or manual methods; based on the data obtained from the testing, a diagnostic result can be given for any potential defects in the strip steel.

[0047] In one embodiment, this application exemplarily illustrates an application scenario of a strip steel post-processing line product defect inspection and analysis system. Please refer to [link to relevant documentation]. Figure 1 The strip steel post-processing line product defect inspection and analysis system is initially connected to the strip steel production line 110. This production line 110 includes, but is not limited to, any one or more production lines in the ironmaking, steelmaking, rolling, and post-processing stages of the strip steel production line. The strip steel exits the production line at the end of the strip steel post-processing line product defect inspection and analysis system. This system includes a strip steel conveyor line 120, an inspection area 130, a data acquisition system, and a defect diagnosis system 150. The specific structures of each part are described below:

[0048] The strip conveyor 120 is used to convey the strip to be inspected along the conveying path. It is understood that the strip conveyor 120 may be, for example, a belt conveyor, a roller conveyor, etc. connected to the strip production equipment or the strip production line 110. In some embodiments, the strip conveyor 120 may also be, for example, a section of the strip production line 110.

[0049] Inspection area 130 is set on the conveying path. Vertical inspection station and horizontal inspection station can be set in inspection area 130. Inspection area 130 includes at least a first inspection area 131 for automatic defect detection and a second inspection area 132 for manual defect detection. The second inspection area 132 is located at the rear end of the first inspection area 131. Grinding equipment 1311 is set in the first inspection area 131. It can be understood that the grinding equipment 1311 is set in the first inspection area 131 to grind the strip steel to be inspected after passing through the first inspection area 131. Grinding marks will appear on the strip steel to be inspected after grinding. The grinding marks are collected by the data acquisition system and then analyzed by the defect diagnosis system 150 to find defects in the strip steel to be inspected.

[0050] The data acquisition system includes a first image acquisition unit 141, which is located on the transmission path between the polishing equipment 1311 and the second detection area 132. The first image acquisition unit 141 can be an existing device or equipment for image acquisition, including but not limited to a camera or depth camera.

[0051] The defect diagnosis system 150 includes, but is not limited to, a device or equipment capable of processing data such as grinding marks on the strip to be inspected, or a virtual system, software or program with the same function stored in a readable medium. The defect diagnosis system 150 is connected to the data acquisition system to perform defect diagnosis on the data acquired by the data acquisition system and to display and / or transmit the defect diagnosis results.

[0052] In this embodiment, the defect diagnosis system 150 is also connected to an operation panel 151 for user operation.

[0053] The strip steel data is collected from the inspection area by the data acquisition system and aggregated into the defect diagnosis system 150 for unified diagnosis. This improves the correlation between data and diagnostic results from different inspection items. For example, in some application scenarios, in defect diagnosis processes that require comprehensive judgment by obtaining inspection data from multiple inspection items, this embodiment can greatly improve inspection efficiency compared to the difficulty of data interaction in existing technologies. In other application scenarios, inspection item one needs to adjust the proportion of times based on the defect diagnosis status of inspection item two. By applying the strip steel post-processing line product defect inspection and analysis system in this embodiment, the proportion of different inspection items and the overall distribution of defect diagnosis results can be known based on the aggregated data, so as to adjust the number of inspection items in real time and reduce the waste of inspection resources. At the same time, unified diagnosis by the defect diagnosis system 150 also saves the manual cost required for defect diagnosis based on data.

[0054] In this embodiment, the data acquisition system further includes a second image acquisition unit 142, which is located on the conveying path at the front end of the grinding equipment 1311 and is used to acquire images of the strip steel to be inspected before grinding.

[0055] Specifically, in one embodiment, please refer to Figure 2 This application exemplarily illustrates a modular composition scheme for a defect diagnosis system, specifically including the following modules:

[0056] The data input module 201 is used to receive diagnostic data of the strip steel to be inspected. The diagnostic data includes at least one of the image to be diagnosed and the production data to be diagnosed. The image to be diagnosed includes the image acquired by the data acquisition system.

[0057] The defect identification module 202 is used to identify the image to be diagnosed and obtain the image defect diagnosis result, and to compare the sub-data to be diagnosed with the preset standard sub-data to obtain the data qualification status of each sub-data to be diagnosed. The image defect diagnosis result includes the defect existence status. If the defect existence status is that a defect exists, the image defect diagnosis result also includes the defect image.

[0058] Knowledge base 203 is used to store multiple preset defect causes and multiple preset diagnostic results, as well as the correspondence between preset defect causes and preset diagnostic results;

[0059] Defect cause determination module 204 is used to determine the cause of a defect based on at least one of a defect image and abnormal data, wherein the abnormal data includes sub-data to be diagnosed whose data qualification status is unqualified;

[0060] The defect diagnosis module 205 is used to query the knowledge base based on the cause of the defect to obtain the diagnosis result of the strip steel to be inspected.

[0061] The data input module can be a keyboard, touchscreen, image acquisition device, or data acquisition device. Multiple image acquisition devices are placed at various locations on the strip steel production line, such as the furnace opening, zinc pot outlet, and strip steel output outlet, to directly acquire the images to be diagnosed. Data acquisition devices collect data such as process parameters from the strip steel production line.

[0062] The steel strips in this embodiment include, but are not limited to, various types of steel strips such as hard-rolled steel, cold-rolled steel, galvanized steel, and color-coated steel.

[0063] The strip steel to be inspected can be strip steel that has not yet been produced on the strip steel production line, or other strip steel as identified by those skilled in the art.

[0064] The images to be diagnosed include, but are not limited to, at least one of the following: surface image of the strip before grinding, surface image of the strip after grinding, surface image of the strip at the furnace outlet, and surface image of the zinc pot outlet. The specific acquisition device for the images to be diagnosed can be implemented using devices known to those skilled in the art.

[0065] The production data to be diagnosed includes, but is not limited to, at least one of the following: physical diagnostic data of strip steel, feedback data from downstream production lines, and production process data of strip steel production lines. Physical diagnostic data of strip steel includes, but is not limited to, at least one of the following: shape, dimensions, roughness, waviness, mechanical properties, processing performance, and performance in use. Feedback data from downstream production lines includes, but is not limited to, feedback data from downstream production lines using the strip steel as raw material. If the strip steel is substandard, defect detection can be performed on the strip steel. Production process data of the strip steel production line refers to the strip steel production line where the strip steel is located, or the operating process data of the strip steel production line that produced the strip steel. As mentioned above, the production data to be diagnosed can include multiple types of data, data from multiple sources, and data from multiple points in time. In this case, it can be stated that the production data to be diagnosed includes multiple sub-data to be diagnosed. Each sub-data to be diagnosed can be classified by data type or according to the classification method specified by those skilled in the art. When the subsequent data defect identification module compares the sub-data to be diagnosed, the standard sub-data is also set according to the above classification rules.

[0066] Furthermore, the beginning of the strip conveyor line is connected to the strip production line, and a first information connection path is set between the defect diagnosis system and the strip production line. The defect diagnosis system obtains the production parameter information of the strip to be inspected from the strip production line through the first information connection path and uses it as an influencing factor of the defect diagnosis result.

[0067] In the above embodiments, the defect diagnosis system may further include a defect query module, which includes: a query receiving module for receiving input query data, which includes at least one of text statements, voice statements, and input images; a statement extraction module for extracting query features from the text or voice statements if the input query data includes text or voice statements, obtaining extracted query features, which include, but are not limited to, at least one of defect shape, defect size, defect occurrence cycle, defect strip location, defect production line location, defect quantity, and abnormal production line operation data; and a data conversion module for determining the input image as the image to be diagnosed and determining the extracted query features as the production data to be diagnosed. Therefore, one way to input the production data to be diagnosed is through user-initiated query input.

[0068] In this embodiment, the query receiving module can be a voice receiving system, or an input system such as a touch screen or keyboard. Query data can be input through voice dialogue, text input, image upload, etc. Furthermore, in some implementations, the defect diagnosis system can be connected to an operation panel for user control.

[0069] Before extracting query features, the speech can be converted into text, and then query features can be extracted based on keywords of interest using methods known to those skilled in the art, such as word segmentation. These keywords of interest can be pre-defined by those skilled in the art. For example, the keywords of interest could be related terms used to characterize defect shape, defect size, defect occurrence cycle, defect strip location, defect production line location, defect quantity, and abnormal production line operation data. By extracting query features, the extracted query features can be obtained. By setting up a defect query module, a way to proactively query defects can be provided externally, broadening the application scenarios of the defect diagnosis system and improving the user experience.

[0070] In one embodiment, the data acquisition system includes, for example, a second image acquisition unit located on the conveying path at the front end of the grinding equipment, for acquiring images of the strip steel to be inspected before grinding.

[0071] Furthermore, in the above embodiments, a specific implementation scheme for the inspection and analysis of product defects in strip steel post-processing lines is also shown. If the image to be diagnosed is obtained from the strip steel to be inspected before grinding, the defect identification module is used to fuse multiple images of the strip steel surface before grinding acquired under different lighting conditions to obtain a fused image; identify each crystal flower in the fused image and determine the initial crystal flower size of each crystal flower; determine the crystal flower uniformity and crystal flower characterization size based on the differences in the initial crystal flower sizes of all crystal flowers; determine the crystal flower quality data of the strip steel to be inspected based on at least one of the crystal flower uniformity, crystal flower characterization size, and crystal flower number, where the number of crystal flowers is the number of crystal flowers identified in the fused image.

[0072] The surface image of the strip before grinding can be acquired by an image acquisition device set up in the strip off-line quality inspection process. At this time, the strip has not yet been ground. Multiple light sources can be set in this area, and the lighting state can be changed by controlling the position and switch of the light sources.

[0073] In this embodiment, identifying each flower in the fused image and determining the initial flower size of each flower includes: inputting the fused image into a flower recognition model to obtain a recognition result, the recognition result including the flower position and initial flower size of each flower in the fused image; wherein, the training method of the flower recognition model includes acquiring multiple sample flower data, the sample flower data including sample flower images, the flower label positions in the sample flower images, and the flower label sizes; training a preset basic model with multiple sample flower data until the preset basic model converges, and using the trained preset basic model as the flower recognition model.

[0074] In the above embodiments, the second image acquisition unit located on the conveying path at the front end of the grinding equipment acquires an image of the strip steel to be inspected before grinding, which can detect the crystal quality of the strip steel to be inspected, etc. This allows the pre-grinding inspection items of the strip steel to be inspected to be performed on the strip steel post-processing line product defect inspection and analysis system provided in this application, which is conducive to further improving the correlation and communication of defect information during the strip steel inspection process, and to more accurately diagnosing strip steel defects, thereby avoiding missed or incorrect detections.

[0075] In one embodiment, a second information connection path is further provided between the defect diagnosis system and the second inspection area. The second inspection area uses the second information connection path to obtain at least the defect diagnosis results of the strip steel to be inspected sent by the defect diagnosis system. It can be understood that the second inspection area is used for manual defect inspection. By obtaining the defect diagnosis results made by the defect diagnosis system based on the collected data from the second information connection path, the inspectors in the second inspection area can conduct further inspections on the areas of the strip steel to be inspected that need to be supplemented or re-inspected, while areas that do not need to be supplemented or re-inspected will not be inspected. This allows for accurate identification of inspection needs, effectively avoids wasting manpower, and improves the overall efficiency of strip steel defect diagnosis.

[0076] In one embodiment, the strip steel to be inspected is horizontally conveyed in the first inspection area. A liftable horizontal platform is provided below the grinding equipment. The first inspection area is provided with a felt laying mechanism. The felt laying mechanism includes a roller and a winch respectively provided on both sides of the horizontal platform, and a felt located above the horizontal platform. One end of the felt is connected to the winch and is pulled taut by the winch, and the other end is connected to the roller and rotates with the roller. By rotating the roller, the felt is laid on the horizontal platform or wound up on the roller.

[0077] For easier understanding, please refer to Figure 3 This embodiment exemplifies an application scenario where a grinding device performs grinding within a first detection zone. The first detection zone is equipped with at least a lifting mechanism, a strip steel conveying mechanism 320, a felt laying mechanism 330, and a grinding device 1311, wherein:

[0078] The lifting mechanism is used to support the target strip steel 321 to be inspected above it. Specifically, it includes a horizontal platform 310 and a first drive assembly for driving the horizontal platform 310 to lift. The first drive assembly may include common lifting devices such as lifting cylinders, hydraulic cylinders or motors.

[0079] The strip conveying mechanism 320 is used to convey the strip to be inspected to the horizontal platform surface 310 to become the target strip to be inspected 321. It includes, but is not limited to, sheet metal conveying equipment commonly used in the art, such as drive rollers. In some embodiments, the strip conveying mechanism 320 may be part of a strip conveying line.

[0080] The felt laying mechanism 330 includes a roller 331 and a winch 332 respectively disposed on both sides of the horizontal platform 310, and a felt 333 located above the horizontal platform 310. One end of the felt 333 is connected to the winch 332 and is pulled taut by the winch 332, and the other end is connected to the roller 331 and rotates with the roller 331. By rotating the roller 331, the felt 333 is laid on the horizontal platform 310 or wound up on the roller 331.

[0081] It is understood that in this embodiment, the roller 331 refers to a rotatable central shaft structure. Its specific structural form may be, but is not limited to, a solid shaft bar, a hollow shaft barrel, etc. It can be driven manually or by a drive device to rotate and drive the felt 333 and the end connected to it to rotate together. Since the other end of the felt 333 is pulled taut by the winch 332, the part of the felt 333 that is not wrapped on the rotating shaft is tightly stretched above the horizontal platform 310.

[0082] In this embodiment, please refer to Figure 4 This application also exemplarily illustrates a structural diagram of a grinding device, which includes a grinding end 410 disposed above a horizontal platform and a second drive assembly for driving the grinding end 410 to move up and down and horizontally. In some embodiments, the second drive assembly may include a first horizontal moving member 420 for driving the grinding end 410 to move parallel to the conveying direction of the strip to be inspected, and a second horizontal moving member 430 for driving the grinding end 410 to move perpendicular to the conveying direction of the strip to be inspected. The first horizontal moving member 420 and the second horizontal moving member 430 cooperate to cause the grinding end 410 to move on the horizontal plane along different trajectories.

[0083] Two first horizontal moving parts 420 are provided, located on opposite sides of the conveying path of the strip to be inspected. The second drive assembly also includes a telescopic part 421 connected between the two first horizontal moving parts 420. The telescopic part 421 is hinged to the first horizontal moving parts 420 at both ends. The second horizontal moving part 430 is connected to the telescopic part 421. Each first horizontal moving part 420 independently drives one end of the telescopic part 421 to move. In this embodiment, the first horizontal moving part 420 is a motor separately mounted on the horizontal slide rails on both sides, and the telescopic part 421 has piston rods inserted at both ends. The long sleeve has piston rods inserted at both ends, which are respectively hinged to guide wheels connected to the motors at both ends. This allows the piston rods to move along a horizontal slide rail with the motors and guide wheels. The piston rod ends at both ends move synchronously or differentially under the drive of the first horizontal moving parts 420 at both ends, thereby changing the direction of movement of the horizontal moving parts connected to the telescopic part 421. In this embodiment, the second horizontal moving part 430 is a piston cylinder. The grinding end 410 is magnetically connected to the permanent magnet piston of the piston cylinder. The end of the grinding end 410 connected to the second horizontal moving part 430 is a magnetic structure. This magnetic structure is magnetically connected to the permanent magnet piston and moves horizontally accordingly.

[0084] In this embodiment, the grinding equipment described above performs the following method steps during testing:

[0085] The strip steel conveying mechanism transports the strip steel to be inspected to a horizontal platform above the surface, and adjusts the state of the felt according to the inspection requirements.

[0086] Control the horizontal platform surface and / or the grinding end to move to a position that meets the requirements of the inspection operation;

[0087] The inspection process involves grinding the strip steel to be inspected.

[0088] Data is collected from the strip steel to be inspected to obtain inspection data, which is then transmitted to the defect diagnosis system for analysis and defect diagnosis.

[0089] In the above embodiments, when laying the felt, image data such as grinding marks after the strip steel is ground can be detected. When the felt is rolled up and the strip steel to be inspected is attached to the horizontal platform, tolerance data such as the unevenness of the strip steel can be detected. For example, in some embodiments, some components of the data acquisition system, such as the first image acquisition unit, are set toward the grinding equipment to collect image data of the strip steel to be inspected after being ground by the grinding equipment, as well as tolerance detection data such as unevenness detection data after the felt is laid.

[0090] The above implementation method enables multiple inspection items, such as surface defect detection and tolerance detection, to be completed at the same inspection location. This reduces the space occupied in the inspection area, lowers inspection costs, improves the integration of different inspection items into the strip steel post-processing line product defect inspection and analysis system, and further enhances the data correlation between different inspection items.

[0091] In one embodiment, based on the inventive concept of the foregoing embodiments, please refer to... Figure 5 This application also provides a method for inspecting and analyzing product defects in a strip steel post-processing line, applied to the strip steel post-processing line product defect inspection and analysis system in the foregoing embodiments. The method for inspecting and analyzing product defects in a strip steel post-processing line includes:

[0092] Step S510: Convey the strip steel to be inspected along the conveying path, and perform defect inspection on the strip steel to be inspected in the first inspection area. The defect inspection includes surface grinding.

[0093] Step S520: The data acquisition system collects defect data of the strip steel to be inspected and sends it to the defect diagnosis system;

[0094] Step S530: The defect diagnosis system performs defect diagnosis based on the defect data and obtains the defect diagnosis result;

[0095] In step S540, the defect diagnosis system displays and / or sends the defect diagnosis results to a preset receiving end to guide the receiving end in implementing defect response measures.

[0096] Regarding the above steps, it is worth noting that the receiving end includes, but is not limited to, the detection area, data acquisition equipment, and other devices, equipment, or ports on the strip steel post-processing line product defect inspection and analysis system. That is, the defect diagnosis results can be displayed by the defect diagnosis system or sent to any other preset receiving location, thereby guiding the corresponding defect response measures to be taken at that location. For example, in some application scenarios, the receiving end may include a display screen set on the strip steel post-processing line product defect inspection and analysis system, and the defect response measures may include displaying alarm information corresponding to the defect results. In other application scenarios, the receiving end may include a part of the detection area, and based on the defect diagnosis results received by the receiving end, the strip steel to be inspected is re-inspected accordingly.

[0097] As can be seen, in the above-mentioned strip steel post-processing line product defect inspection and analysis method, the data acquisition system collects strip steel data from the inspection area and summarizes it to the defect diagnosis system for unified diagnosis, improving the correlation between data and diagnostic results in different inspection items. This facilitates real-time adjustment of inspection items, reduces waste of inspection resources, and saves the labor costs required for defect diagnosis based on data. Furthermore, the inspection area distinguishes between automatic and manual inspection methods. Based on the defect diagnosis status of the defect diagnosis system, it can accurately locate the locations that need to be re-inspected, and accurately re-inspect or confirm them by adjusting manual inspection items, effectively preventing duplicate inspections and missed inspections, effectively reducing labor costs, and improving the overall efficiency of defect diagnosis.

[0098] In this embodiment, the receiving end includes a first detection area. After the defect data is sent to the defect diagnosis system, the specific steps performed by the defect diagnosis system include:

[0099] The defect data includes an initial surface image of the strip to be inspected, which is an image taken after the initial grinding of the strip surface.

[0100] The initial surface image is initially identified. If a defect is identified, grinding suggestions are generated based on the defect location. These suggestions guide the re-grinding of the defect location on the strip to be inspected in the first inspection area.

[0101] In the above embodiments, after the first detection area is polished again, the method further includes:

[0102] Obtain a processed surface image of the strip steel to be inspected;

[0103] The defect diagnosis system re-identifies the processed surface image to obtain the re-identification result, thereby completing the defect diagnosis of the defect location.

[0104] The above implementation method, based on the defect diagnosis information from the defect diagnosis system, can accurately locate the areas requiring supplementary inspection. By adjusting manual inspection items, it can precisely perform supplementary inspections or confirm findings, effectively preventing duplicate or missed inspections, significantly reducing labor costs, and improving the overall efficiency of defect diagnosis.

[0105] In this embodiment, the receiving end includes a second detection area. After the defect diagnosis system displays and / or sends the defect diagnosis results to the preset receiving end, the method includes: based on the defect diagnosis results, the second detection area performs a re-inspection of the strip steel to be inspected. For the above implementation method, based on the defect diagnosis status of the defect diagnosis system, the position that needs to be re-inspected can be accurately located, and the manual inspection items can be adjusted to accurately re-inspect or confirm, effectively preventing repeated inspections, missed inspections, etc., effectively reducing labor costs and improving the overall efficiency of defect diagnosis.

[0106] See Figure 6The present invention also provides an electronic device 600, including a processor 601, a memory 602 and a communication bus 603; the communication bus 603 is used to connect the processor 601 and the memory 602; the processor 601 is used to execute a computer program stored in the memory 602 to implement one or more of the methods described in the above embodiments.

[0107] This invention also provides a computer-readable storage medium having a computer program stored thereon, the computer program being used to cause a computer to perform the method described in any of the above embodiments.

[0108] This application also provides a non-volatile readable storage medium storing one or more modules (programs). When these modules are applied to a device, they enable the device to execute the instructions included in Embodiment 1 of this application.

[0109] It should be noted that the computer-readable medium described in this disclosure can be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this disclosure, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in connection with an instruction execution system, apparatus, or device. In this disclosure, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium can be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wires, optical fibers, RF (radio frequency), etc., or any suitable combination thereof.

[0110] The aforementioned computer-readable medium may be included in the aforementioned electronic device; or it may exist independently and not assembled into the electronic device.

[0111] Computer program code for performing the operations of this disclosure can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0112] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of methods and computer program products according to various embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0113] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in the present invention should still be covered by the claims of the present invention.

Claims

1. A product defect inspection and analysis system for strip steel post-processing lines, characterized in that, include: A strip conveyor line is used to transport strip steel to be inspected along a conveying path; An inspection area is set on the conveying path. The inspection area includes a first inspection area for automatic defect detection and a second inspection area for manual defect detection. The second inspection area is located at the rear end of the first inspection area. A grinding device is set in the first inspection area. The data acquisition system includes a first image acquisition unit, which is located on the transmission path between the polishing equipment and the second detection area; A defect diagnosis system, connected to the data acquisition system, is used to process the data acquired by the data acquisition system according to a preset data processing method to obtain defect diagnosis results, and to display and / or transmit the defect diagnosis results. The strip steel to be inspected is horizontally conveyed within the first inspection area. A liftable horizontal platform is provided below the grinding equipment. A felt laying mechanism is provided in the first inspection area. The felt laying mechanism includes a roller and a winch respectively located on both sides of the horizontal platform, and a felt located above the horizontal platform. One end of the felt is connected to the winch and is pulled taut by the winch, and the other end is connected to the roller and rotates with the roller. By rotating the roller, the felt is laid on the horizontal platform or wound up on the roller.

2. The strip steel post-processing line product defect inspection and analysis system according to claim 1, characterized in that, The defect diagnosis system includes: The data input module is used to receive diagnostic data of the strip steel to be inspected. The diagnostic data includes at least one of a diagnostic image and diagnostic production data. The diagnostic production data includes multiple diagnostic sub-data. The diagnostic image includes an image acquired by the data acquisition system. The defect identification module is used to identify the image to be diagnosed and to compare the sub-data to be diagnosed with preset standard sub-data to obtain the data qualification status of each sub-data to be diagnosed. The knowledge base is used to store multiple preset defect causes and multiple preset diagnostic results, as well as the correspondence between preset defect causes and preset diagnostic results; The defect cause determination module is used to determine the defect cause based on at least one of the defect image and abnormal data, wherein the abnormal data includes sub-data to be diagnosed whose data qualification status is unqualified; The defect diagnosis module is used to query the knowledge base based on the cause of the defect to obtain the diagnosis result of the strip steel to be inspected.

3. The strip steel post-processing line product defect inspection and analysis system according to claim 2, characterized in that: If the image to be diagnosed is of the strip steel to be inspected before grinding, the defect recognition module is used to fuse multiple images of the strip steel surface before grinding acquired under different lighting conditions to obtain a fused image; identify each crystal flower in the fused image and determine the initial crystal flower size of each crystal flower; determine the crystal flower uniformity and crystal flower characterization size based on the differences in the initial crystal flower sizes of all crystal flowers; determine the crystal flower quality data of the strip steel to be inspected based on at least one of the crystal flower uniformity, the crystal flower characterization size, and the number of crystal flowers, wherein the number of crystal flowers is the number of crystal flowers identified in the fused image.

4. The strip steel post-processing line product defect inspection and analysis system according to claim 1, characterized in that: The data acquisition system also includes a second image acquisition unit, which is located on the conveying path at the front end of the grinding equipment and is used to acquire images of the strip steel to be inspected before grinding.

5. The strip steel post-processing line product defect inspection and analysis system according to claim 1, characterized in that: The beginning of the strip steel conveyor line is connected to the strip steel production line. A first information connection path is set between the defect diagnosis system and the strip steel production line. The defect diagnosis system obtains the production parameter information of the strip steel to be inspected from the strip steel production line through the first information connection path and uses it as an influencing factor of the defect diagnosis result.

6. The strip steel post-processing line product defect inspection and analysis system according to claim 1, characterized in that: A second information connection path is provided between the defect diagnosis system and the second detection area. The second detection area uses the second information connection path to obtain at least the defect diagnosis result of the strip steel to be inspected sent by the defect diagnosis system.

7. The strip steel post-processing line product defect inspection and analysis system according to claim 1, characterized in that: The grinding equipment includes a grinding head disposed above the horizontal platform and a second drive assembly for driving the grinding head to move up and down and horizontally. The second drive assembly includes a first horizontal moving member for driving the grinding head to move parallel to the conveying direction of the strip to be inspected, and a second horizontal moving member for driving the grinding head to move perpendicular to the conveying direction of the strip to be inspected. The first horizontal moving member and the second horizontal moving member cooperate to make the grinding head move on different trajectories on the horizontal plane.

8. The strip steel post-processing line product defect inspection and analysis system according to claim 7, characterized in that: There are two first horizontal moving parts, which are respectively located on both sides of the conveying path of the strip to be inspected. The second driving assembly also includes a telescopic part connected between the two first horizontal moving parts. The telescopic part is hinged to the first horizontal moving parts at both ends. The second horizontal moving part is connected to the telescopic part. Each first horizontal moving part independently drives one end of the telescopic part to move.

9. The strip steel post-processing line product defect inspection and analysis system according to claim 7, characterized in that: The grinding end is magnetically connected to the second horizontal moving part.

10. A method for inspecting and analyzing product defects in a strip steel post-processing line, characterized in that, The method, applied to the strip steel post-processing line product defect inspection and analysis system as described in any one of claims 1-6, comprises: The strip steel to be inspected is conveyed along the conveying path, and defect detection is performed on the strip steel to be inspected in the first detection area. The defect detection includes surface grinding. The data acquisition system collects defect data of the strip steel to be inspected, records the location information of the collected defect data, and sends the defect data and the corresponding location information to the defect diagnosis system. The defect diagnosis system performs defect diagnosis based on the defect data and obtains the defect diagnosis results; The defect diagnosis system displays and / or sends diagnostic information to a preset receiving end to guide the receiving end in implementing defect response measures. The diagnostic information includes the defect diagnosis results and the location information.

11. The method for defect inspection and analysis of strip steel post-processing line products according to claim 10, characterized in that, The receiving end includes a first detection area. After the defect data is sent to the defect diagnosis system, the specific steps performed by the defect diagnosis system include: The defect data includes an initial surface image of the strip to be inspected, which is an image taken after the initial polishing of the strip surface. The initial surface image is initially identified. If a defect is identified, grinding suggestions are generated based on the defect location. The grinding suggestions guide the re-grinding of the defect location of the strip to be inspected in the first detection area.

12. The method for defect inspection and analysis of strip steel post-processing line products according to claim 11, characterized in that, After the first detection area is polished again, the method includes: Obtain a processed surface image of the strip steel to be inspected; The defect diagnosis system re-identifies the processed surface image to obtain a re-identification result, thereby completing the defect diagnosis of the defect location.

13. The method for inspecting and analyzing product defects in a strip steel post-processing line according to claim 10, characterized in that, The receiving end includes the second detection area. After the defect diagnosis system displays and / or sends the defect diagnosis result to the preset receiving end, the method includes: based on the defect diagnosis result, the second detection area performs a re-inspection on the strip steel to be inspected.

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