Steel plate data tracking method and device

Abstract

The invention provides a steel plate data tracking method and device, and the method comprises the steps: controlling a camera to shoot and collect steel plate image information through a synchronizer, and calculating the length and width of a steel plate according to a steel plate edge detection algorithm and the steel plate image information; emitting laser to the upper and lower surfaces of the steel plate through the laser light source, and driving the linear array CCD assembly through the driving module to collect light spot image information of the upper and lower surfaces; processing the image information of the light spots on the upper and lower surfaces through a signal processing module, and calculating the thickness of the steel plate according to the angle information of the laser light source and the parameter information of the linear array CCD assembly; the length, the width and the thickness of the steel plate are stored in a measurement database; and acquiring steel plate information data from the measurement database through a tracking module, and generating steel plate automatic tracking data according to the steel plate information data and the speed information of the roller way so as to solve the problems of inaccurate steel plate data tracking and low efficiency.

Description

Technical Field

[0001] The present application relates to the technical field of data tracking, and in particular to a steel plate data tracking method and device. Background Art

[0002] Data measurement and tracking of steel plates plays a vital role in modern industrial production. This is not only related to the improvement of production efficiency, but also involves the control of product quality and the guarantee of production safety.

[0003] In the related technologies, the data measurement methods of steel plates mostly adopt the leakage magnetic method, eddy current method, and ray method measurement technology. Among them, the leakage magnetic method is only applicable to the measurement of magnetic materials, and in actual measurement, the target to be measured needs to be magnetized in advance. The eddy current method can achieve high-speed dynamic monitoring, but the detection results are easily affected by the material itself and other factors, such as air temperature. The ray method is used to measure the thickness of steel plates due to its high non-contact reliability and strong environmental adaptability, but the cost is high, and the rays pollute the environment and harm human health. These methods either have low detection efficiency, or the measurement is easily affected by the surrounding environment, and the measurement cost is high. The tracking method of steel plates is based on paper plans, manual language, and manual data entry. Such tracking methods often require more human resources, and there are problems of manual scheduling and confusion in steel plate serial numbers. Summary of the invention

[0004] The present application provides a steel plate data tracking method and device to solve the problem of inaccurate and low efficiency of steel plate data tracking.

[0005] A first aspect of the present application provides a steel plate data tracking method, the method comprising:

[0006] Controlling the camera to shoot and collect steel plate image information by a synchronizer, wherein the steel plate image information includes images of the steel plate and the ruler;

[0007] Calculate the length and width of the steel plate according to the steel plate edge detection algorithm and the steel plate image information;

[0008] The laser light source emits laser to the upper and lower surfaces of the steel plate and the driving module drives the linear array CCD component to collect the light spot image information of the upper and lower surfaces;

[0009] Processing the upper and lower surface spot image information through a signal processing module and calculating the thickness of the steel plate according to the angle information of the laser light source and the parameter information of the linear array CCD component;

[0010] Storing the length, width and thickness of the steel plate in a measurement database;

[0011] Acquire steel plate information data from the measurement database through a tracking module, wherein the steel plate information data includes: steel plate number, steel type, measurement time and steel plate size;

[0012] Steel plate automatic tracking data is generated according to the steel plate information data and the speed information of the roller.

[0013] The above method realizes the automation and intelligence of steel plate data tracking through the combination of machine vision and automation technology, improves the accuracy of steel plate tracking and size measurement, reduces the labor intensity of workers and reduces the existing safety, data and information risks, and solves the problems of inaccurate and low efficiency of steel plate data tracking.

[0014] Optionally, the step of calculating the length and width of the steel plate according to the steel plate edge detection algorithm and the steel plate image information includes:

[0015] Reading and analyzing the image information of the steel plate at the same time to determine the image with the head and tail of the steel plate;

[0016] The head and tail regions in the images of the head and tail of the steel plate are extracted and mapped onto a ruler to obtain the length and width of the steel plate.

[0017] By reading and analyzing the steel plate image information at the same time, and extracting the head and tail areas in the images of the head and tail of the steel plate and mapping them onto the ruler, the accuracy of measuring the length and width of the steel plate can be ensured, facilitating the accuracy of subsequent tracking of the position.

[0018] Optionally, after generating the steel plate automatic tracking data according to the steel plate information data and the roller speed information, the method further comprises:

[0019] Control the tracking camera assembly to shoot and collect the injection plate number image information of the steel plate through the tracking module;

[0020] Compare the injection plate number in the injection plate number image information of the steel plate with the steel plate number to see if they are consistent, so as to determine whether the automatic tracking data of the steel plate is normal.

[0021] By comparing the injection plate number obtained by machine vision with the steel plate number in the steel plate automatic tracking data to verify the steel plate automatic tracking data, the labor intensity of workers and the hidden dangers of safety, data and information errors can be reduced, and the accuracy of the steel plate data tracking device can be improved.

[0022] Optionally, the step of comparing whether the injection plate number in the injection plate number image information of the steel plate is consistent with the steel plate number to determine whether the automatic tracking data of the steel plate is normal includes:

[0023] Obtaining the injection plate number image information and the steel plate number of the steel plate;

[0024] Extracting the injection plate number in the injection plate number image information based on optical character recognition technology;

[0025] Compare the injection plate number and the steel plate number to see if they are consistent;

[0026] If the injection plate number is consistent with the steel plate number, the steel plate automatic tracking data is normal;

[0027] If the injection plate number and the steel plate number are inconsistent, the steel plate automatic tracking data is abnormal.

[0028] Based on the optical character recognition technology, the injection plate number in the injection plate number image information can be automatically extracted, reducing the need for manual input, thereby improving work efficiency. The optical character recognition technology can also accurately identify the characters on the steel plate, avoiding errors that may be caused by manual input. In addition, the comparison of the injection plate number and the steel plate number can be carried out in real time during the steel plate production process, which helps to timely discover and correct errors and conveniently track the production and use of each steel plate.

[0029] Optionally, before comparing whether the injection plate number in the injection plate number image information of the steel plate is consistent with the steel plate number, the method further includes:

[0030] Control the first tracking camera to shoot and collect the positive spray plate number image information of the steel plate through the tracking module;

[0031] Control the second tracking camera to shoot and collect the side spray plate number image information of the same steel plate through the tracking module;

[0032] Compare the front spray plate number of the front spray plate number image information of the steel plate and the side spray plate number in the side spray plate number image information of the steel plate to see whether they are consistent;

[0033] If the front spray plate number and the side spray plate number are consistent, the plate number printer is normal;

[0034] If the front spray plate number and the side spray plate number are inconsistent, the plate number printer is abnormal.

[0035] By comparing the front spray plate number and the side spray plate number before comparing the spray plate number and the steel plate number, it is possible to confirm in advance whether the spray plate number is accurate, thereby preventing subsequent incorrect judgments due to incorrect spray plate numbers.

[0036] Optionally, the method further includes:

[0037] Detecting whether there is new steel plate automatic tracking data in the tracking module;

[0038] If there is new steel plate automatic tracking data in the tracking module, the new steel plate automatic tracking data is sent to the table inspection module;

[0039] Comparing the steel plate automated tracking data in the tracking module and the surface inspection module;

[0040] If there is new steel plate automatic tracking data in the table inspection module, and there is a lack of historical steel plate automatic tracking data, a prompt for lack of tracking data is generated.

[0041] The above method ensures data synchronization between the tracking module and the table inspection module by sending new steel plate automatic tracking data to the table inspection module. If there is new steel plate automatic tracking data in the table inspection module, but historical steel plate automatic tracking data is missing, a missing tracking data prompt is generated, which can quickly identify and solve the data missing problem and ensure the continuity and stability of the production process.

[0042] The second aspect of the present application provides a steel plate data tracking device, which is applicable to the steel plate data tracking method described in the first aspect, and the device comprises: a first measuring component, a second measuring component, a tracking component and a main control module; the first measuring component comprises a ruler, a camera and a synchronizer; the ruler is arranged on one side of the roller, and a plurality of cameras are evenly arranged on the other side of the roller and form a straight line; the ruler is parallel to the movement direction of the steel plate and the straight line; the synchronizer is electrically connected to the camera; the second measuring component comprises a laser light source, a linear array CCD component, a driving module and a signal processing module; the linear array CCD component is electrically connected to the driving module and the signal processing module respectively; the tracking component comprises a tracking camera component and a tracking module; the tracking camera component faces the spray plate number of the steel plate, and the tracking module is respectively communicated with the tracking camera component and the driving module; the main control module is respectively communicated with the synchronizer, the laser light source, the driving module, the signal processing module and the tracking module; the main control module is configured as follows:

[0043] Controlling the camera to shoot and collect steel plate image information by the synchronizer, wherein the steel plate image information includes steel plate and ruler images;

[0044] Calculate the length and width of the steel plate according to the steel plate edge detection algorithm and the steel plate image information;

[0045] The laser light source emits laser light to the upper and lower surfaces of the steel plate and the driving module drives the linear array CCD component to collect the light spot image information of the upper and lower surfaces;

[0046] Processing the upper and lower surface spot image information by the signal processing module and calculating the thickness of the steel plate according to the angle information of the laser light source and the parameter information of the linear array CCD component;

[0047] Storing the length, width and thickness of the steel plate in a measurement database;

[0048] Acquire steel plate information data from the measurement database through the tracking module, wherein the steel plate information data includes: steel plate number, steel type, measurement time and steel plate size;

[0049] Steel plate automatic tracking data is generated according to the steel plate information data and the speed information of the roller.

[0050] The above-mentioned device realizes the automation and intelligence of steel plate data tracking through the combination of machine vision and automation technology, improves the accuracy of steel plate tracking and size measurement, reduces the labor intensity of workers and reduces the existing safety, data and information risks, and solves the problems of inaccurate and low efficiency of steel plate data tracking.

[0051] Optionally, the laser light source includes a first laser light source and a second laser light source; the linear array CCD component includes a first linear array CCD device and a second linear array CCD device;

[0052] The first laser light source and the first linear array CCD device are located on the upper part of the steel plate, and the laser light emitted by the first laser light source is reflected from the upper surface of the steel plate to the photosensitive surface of the first linear array CCD device;

[0053] The second laser light source and the second linear array CCD device are located at the lower part of the steel plate, and the laser light emitted by the second laser light source is reflected by the lower surface of the steel plate to the photosensitive surface of the second linear array CCD device.

[0054] The combination of dual laser light sources and dual linear array CCD devices can significantly improve the detection accuracy. High-quality image data can be obtained regardless of the front or back of the steel plate, providing a solid foundation for subsequent data analysis and processing.

[0055] Optionally, the signal processing module includes a preprocessing module and a binarization module;

[0056] The input end of the preprocessing module is electrically connected to the first linear array CCD device and the second linear array CCD device respectively, and the output end of the preprocessing module is electrically connected to the input end of the binarization module; the output end of the binarization module is communicatively connected to the main control module.

[0057] The preprocessing module is responsible for collecting and amplifying the image signal to enhance the anti-interference ability of the image signal. The binarization module is used to obtain the binarized waveform of the image signal, which can highlight the outline of the image, facilitate the detection and recognition of the object, and also simplify the image structure to reduce the complexity of subsequent processing.

[0058] Optionally, the tracking camera assembly includes a first tracking camera and a second tracking camera;

[0059] The first tracking camera faces the front spray plate number of the steel plate, and the second tracking camera faces the side spray plate number of the steel plate; the tracking module is communicatively connected with the first tracking camera and the second tracking camera respectively.

[0060] The front spray plate number and the side spray plate number are obtained by the first tracking camera and the second tracking camera, and by comparing the front spray plate number and the side spray plate number, potential incorrect spray plate number problems are detected, thereby ensuring the accuracy of subsequent data tracking.

[0061] It can be seen from the above technical scheme that the present application provides a steel plate data tracking method and device, which controls the camera to shoot and collect steel plate image information through a synchronizer, and calculates the length and width of the steel plate according to the steel plate edge detection algorithm and the steel plate image information; emits laser to the upper and lower surfaces of the steel plate through a laser light source and drives the linear array CCD component through a driving module to collect the upper and lower surface spot image information; processes the upper and lower surface spot image information through a signal processing module and calculates the thickness of the steel plate according to the angle information of the laser light source and the parameter information of the linear array CCD component; stores the length, width and thickness of the steel plate in a measurement database; obtains steel plate information data from the measurement database through a tracking module, and generates steel plate automatic tracking data according to the steel plate information data and the speed information of the roller, so as to solve the problems of inaccurate and low efficiency of steel plate data tracking. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] In order to more clearly illustrate the technical solution of the present application, the drawings required for use in the embodiments are briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0063] Figure 1 A schematic diagram of the process of the steel plate data tracking method described in an embodiment of the present application;

[0064] Figure 2 It is a schematic diagram of a process for determining whether the steel plate automatic tracking data is normal in the steel plate data tracking method described in an embodiment of the present application;

[0065] Figure 3It is a schematic diagram of a process for determining whether a plate number inkjet printer is normal in a steel plate data tracking method according to an embodiment of the present application;

[0066] Figure 4 This is a schematic diagram of the structure of the first measuring component in the steel plate data tracking device described in an embodiment of the present application. DETAILED DESCRIPTION

[0067] The embodiments will be described in detail below, and examples thereof are shown in the accompanying drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementation methods described in the following embodiments do not represent all implementation methods consistent with the present application. They are only examples of systems and methods consistent with some aspects of the present application.

[0068] To solve the problem of inaccurate and inefficient steel plate data tracking, see Figure 1 Some embodiments of the present application provide a steel plate data tracking method, the method comprising:

[0069] S100: The synchronizer is used to control the camera to shoot and collect steel plate image information.

[0070] It should be understood that the steel plate image information includes the steel plate and the ruler image. Before using the camera to shoot and collect the steel plate image information, the camera needs to be calibrated. The specific steps are: shoot and collect the ruler image through a multi-angle camera; import the captured ruler image into the calibration software to detect the corner points or feature points, and then calculate the internal and external parameters of the camera and the distortion coefficient according to the detected corner points or feature points as calibration parameters.

[0071] S200: Calculating the length and width of the steel plate according to a steel plate edge detection algorithm and the steel plate image information.

[0072] It should be understood that, first, the edge pixel points of the steel plate can be calculated according to the steel plate edge detection algorithm, and then the edge detection of the steel plate contour can be performed based on the steel plate edge pixel points, and the coordinates of the steel plate vertices can be solved. Combining the coordinates of the steel plate vertices and the calibration parameters of the steel plate, the actual size of the steel plate can be calculated. In other embodiments, before calculating the edge pixel points of the steel plate, the steel plate image information can be processed by a signal processing module to obtain processed steel plate image information for improving the measurement accuracy.

[0073] S300: The laser light source emits laser light to the upper and lower surfaces of the steel plate and the driving module drives the linear array CCD component to collect the light spot image information of the upper and lower surfaces.

[0074] It should be understood that the use of laser light source as the illumination light source has good directivity, good monochromaticity and high brightness. The linear array CCD assembly includes two linear array CCD devices, which can be driven by the driving module to make the two linear array CCD devices work synchronously, which is helpful to achieve accurate measurement of steel plate thickness.

[0075] S400: Processing the upper and lower surface spot image information through a signal processing module and calculating the thickness of the steel plate according to the angle information of the laser light source and the parameter information of the linear array CCD component.

[0076] It should be understood that the signal processing module can amplify the upper and lower surface light spot image information and highlight the texture, so as to make the upper and lower surface light spot image information clearer and facilitate subsequent calculations.

[0077] S500: Storing the length, width and thickness of the steel plate in a measurement database.

[0078] It should be understood that the length, width and thickness of the steel plate may be collectively referred to as steel plate size.

[0079] S600: Acquire steel plate information data from the measurement database through a tracking module.

[0080] It should be understood that the steel plate information data includes: steel plate number, steel type, measurement time and steel plate size.

[0081] S700: Generate steel plate automatic tracking data according to the steel plate information data and roller speed information.

[0082] It should be understood that the speed information of the roller can be obtained in real time through a speed sensor or speed transmitter installed on the roller. The tracking module can calculate the position of each steel plate on the rolling line in real time based on the designed reference zero point (such as the roller entrance) and the roller speed information, and determine the final position of the steel plate based on the length of the steel plate.

[0083] The above method realizes the automation and intelligence of steel plate data tracking through the combination of machine vision and automation technology, improves the accuracy of steel plate tracking and size measurement, reduces the labor intensity of workers and reduces the existing safety, data and information risks, and solves the problems of inaccurate and low efficiency of steel plate data tracking.

[0084] In some embodiments, the step of calculating the length and width of the steel plate according to the steel plate edge detection algorithm and the steel plate image information comprises:

[0085] The steel plate image information at the same time is read and analyzed to determine the image with the head and tail of the steel plate.

[0086] The head and tail regions in the images of the head and tail of the steel plate are extracted and mapped onto a ruler to obtain the length and width of the steel plate.

[0087] By reading and analyzing the steel plate image information at the same time, and extracting the head and tail areas in the images of the head and tail of the steel plate and mapping them onto the ruler, the accuracy of measuring the length and width of the steel plate can be ensured, facilitating the accuracy of subsequent tracking of the position.

[0088] In some embodiments, after the steel plate automatic tracking data is generated according to the steel plate information data and the speed information of the roller, the method further comprises:

[0089] The tracking module controls the tracking camera assembly to shoot and collect the spray plate number image information of the steel plate.

[0090] Compare the injection plate number in the injection plate number image information of the steel plate with the steel plate number to see if they are consistent, so as to determine whether the automatic tracking data of the steel plate is normal.

[0091] By comparing the injection plate number obtained by machine vision with the steel plate number in the steel plate automatic tracking data to verify the steel plate automatic tracking data, the labor intensity of workers and the hidden dangers of safety, data and information errors can be reduced, and the accuracy of the steel plate data tracking device can be improved.

[0092] In some embodiments, see Figure 2 The step of comparing the injection plate number in the injection plate number image information of the steel plate with the steel plate number to determine whether the steel plate automatic tracking data is normal includes:

[0093] S910: Obtain the injection plate number image information and the steel plate number of the steel plate.

[0094] S920: Extracting the injection plate number from the injection plate number image information based on optical character recognition technology.

[0095] S930: Compare the injection plate number and the steel plate number to see if they are consistent.

[0096] S940: If the injection plate number is consistent with the steel plate number, the steel plate automatic tracking data is normal.

[0097] S950: If the injection plate number and the steel plate number are inconsistent, the steel plate automatic tracking data is abnormal.

[0098] It should be understood that optical character recognition (OCR) is an image processing technology that can quickly process large amounts of image data, reduce manual intervention, improve work efficiency, and reduce the risk of human error. If the steel plate automatic tracking data is abnormal, it is necessary to check whether there are problems with the encoder and cold inspection automation module in the tracking module so that maintenance personnel can check and repair the encoder and cold inspection automation module.

[0099] Based on the optical character recognition technology, the injection plate number in the injection plate number image information can be automatically extracted, reducing the need for manual input, thereby improving work efficiency. The optical character recognition technology can also accurately identify the characters on the steel plate, avoiding errors that may be caused by manual input. In addition, the comparison of the injection plate number and the steel plate number can be carried out in real time during the steel plate production process, which helps to timely discover and correct errors and conveniently track the production and use of each steel plate.

[0100] In some embodiments, see Figure 3 Before comparing whether the injection plate number in the injection plate number image information of the steel plate is consistent with the steel plate number, the method further includes:

[0101] S810: Controlling the first tracking camera to shoot and collect the positive spray plate number image information of the steel plate through the tracking module.

[0102] S820: Controlling the second tracking camera to shoot and collect the side spray plate number image information of the same steel plate through the tracking module.

[0103] S830: Compare whether the front spray plate number in the front spray plate number image information of the steel plate and the side spray plate number in the side spray plate number image information of the steel plate are consistent.

[0104] S840: If the front spray plate number and the side spray plate number are consistent, the plate number printer is normal.

[0105] S850: If the front spray plate number and the side spray plate number are inconsistent, the plate number printer is abnormal.

[0106] It should be understood that both the front spray plate number and the side spray plate number are spray plate numbers. There are two reasons why the plate number printer is abnormal: the steel plate number is not sprayed at all or the steel plate number is not clearly printed. For both points, maintenance personnel are required to check and repair the plate number printer.

[0107] By comparing the front spray plate number and the side spray plate number before comparing the spray plate number and the steel plate number, it is possible to confirm in advance whether the spray plate number is accurate, thereby preventing subsequent incorrect judgments due to incorrect spray plate numbers.

[0108] In some embodiments, the method further comprises:

[0109] Check whether there is new steel plate automatic tracking data in the tracking module.

[0110] It should be understood that by detecting whether there is a new steel plate number in the tracking module, it is possible to confirm whether there is new steel plate automatic tracking data.

[0111] If there is new steel plate automatic tracking data in the tracking module, the new steel plate automatic tracking data is sent to the surface inspection module.

[0112] It should be understood that the table inspection module is internally provided with a table inspection database, which can store the steel plate automatic tracking data. In addition, while the table inspection module adds new steel plate automatic tracking data, the tracking module will continue to track.

[0113] Compare the steel plate automated tracking data in the tracking module and the surface inspection module.

[0114] If there is new steel plate automatic tracking data in the table inspection module, and there is a lack of historical steel plate automatic tracking data, a prompt for lack of tracking data is generated.

[0115] It should be understood that the presence of new steel plate automated tracking data in the table inspection module and the lack of historical steel plate automated tracking data is because the table inspection module has not yet recorded or the table inspection module is triggered too early. The lack of tracking data prompt can be sent to the user terminal to prompt maintenance personnel to repair the problem with the table inspection module, and the tracking module will continue to track.

[0116] The above method ensures data synchronization between the tracking module and the table inspection module by sending new steel plate automatic tracking data to the table inspection module. If there is new steel plate automatic tracking data in the table inspection module, but historical steel plate automatic tracking data is missing, a missing tracking data prompt is generated, which can quickly identify and solve the data missing problem and ensure the continuity and stability of the production process.

[0117] In some other embodiments, when the tracking module tracks the steel plate number, it is found that there are duplicate records in the table inspection database, indicating that an error has occurred in the tracking process, and a tracking process error prompt and a re-tracking request can be generated. The tracking process error prompt can be sent to the user terminal, and the re-tracking request is used to re-track the steel plate to improve fault tolerance. After the table inspection module is triggered, the tracking module can refresh the table inspection module by discovering new steel plate automatic tracking data, and re-detect whether there is new steel plate automatic tracking data in the tracking module, which can significantly improve data accuracy.

[0118] Some embodiments of the present application also provide a steel plate data tracking device, which is applicable to the steel plate data tracking method described in the above embodiments, see Figure 1 and Figure 4 , the device includes: a first measuring component, a second measuring component, a tracking component and a main control module. The first measuring component includes a ruler, a camera and a synchronizer. The ruler is arranged on one side of the roller, and a plurality of cameras are evenly arranged on the other side of the roller and form a straight line. The ruler is parallel to the moving direction of the steel plate and the straight line. The synchronizer is electrically connected to the camera. The second measuring component includes a laser light source, a linear array CCD component, a driving module and a signal processing module. The linear array CCD component is electrically connected to the driving module and the signal processing module respectively. The tracking component includes a tracking camera component and a tracking module. The tracking camera component faces the injection plate number of the steel plate, and the tracking module is respectively communicated with the tracking camera component and the driving module. The main control module is respectively communicated with the synchronizer, the laser light source, the driving module, the signal processing module and the tracking module.

[0119] It should be understood that the main control module can be a workstation, which is a high-performance computing control center for professional application fields. It can connect to the user terminal through a switch to send prompt information such as missing tracking data prompts and tracking process error prompts to the user terminal.

[0120] The main control module is configured to: control the camera to shoot and collect steel plate image information through the synchronizer, and the steel plate image information includes steel plate and ruler images.

[0121] The length and width of the steel plate are calculated according to a steel plate edge detection algorithm and the steel plate image information.

[0122] The laser light source emits laser light to the upper and lower surfaces of the steel plate, and the driving module drives the linear array CCD component to collect the light spot image information of the upper and lower surfaces.

[0123] The signal processing module processes the upper and lower surface spot image information and calculates the thickness of the steel plate according to the angle information of the laser light source and the parameter information of the linear array CCD component.

[0124] The length, width and thickness of the steel plate are stored in a measurement database.

[0125] The steel plate information data is obtained from the measurement database through the tracking module, and the steel plate information data includes: steel plate number, steel type, measurement time and steel plate size.

[0126] Steel plate automatic tracking data is generated according to the steel plate information data and the speed information of the roller.

[0127] It should be understood that the internal system of the main control module may include a communication unit, a production data management unit, a dimension measurement alignment unit and a report analysis unit. Among them, the communication unit is responsible for data communication between units at all levels and with external systems (such as MES systems). It ensures real-time transmission and sharing of data so that each unit can work together. The production data management unit involves collecting, storing, analyzing and querying various data generated during the production process. It is essential for the optimization and quality control of the production process. The dimension measurement alignment unit can accurately measure the size of the steel plate and align and adjust it as needed. Ensuring the dimensional accuracy and consistency of the steel plate is of great significance for meeting customer needs and improving product quality. The report analysis unit can summarize, analyze and display various data in the production process so that the situation of the production process can be more intuitively understood, and decisions and optimizations can be made. A material tracking system is also provided inside the tracking module. The material tracking system is implemented through a secondary system, and the primary system cooperates to track the position, status and other information of the steel plate during the production process in real time. The secondary system receives steel plate data from the MES system, tracks the physical location of the steel plate, and synchronizes the steel plate information to the primary system. The primary system performs specific production tasks and feeds back the results to the secondary system. The secondary system generates production performance and various reports and feeds them back to the MES system for further analysis and processing.

[0128] In some embodiments, the laser light source includes a first laser light source and a second laser light source. The linear array CCD assembly includes a first linear array CCD device and a second linear array CCD device. The first laser light source and the first linear array CCD device are located at the upper part of the steel plate, and the laser light emitted by the first laser light source is reflected from the upper surface of the steel plate to the photosensitive surface of the first linear array CCD device. The second laser light source and the second linear array CCD device are located at the lower part of the steel plate, and the laser light emitted by the second laser light source is reflected from the lower surface of the steel plate to the photosensitive surface of the second linear array CCD device.

[0129] The first laser light source and the second laser light source are respectively located at the upper and lower parts of the steel plate, which can ensure full illumination of the front and back sides of the steel plate, thereby improving the comprehensiveness and accuracy of the detection. The first linear array CCD device and the second linear array CCD device correspond to the first and second laser light sources respectively, so that the laser light reflected from the upper and lower surfaces of the steel plate can be accurately captured, thereby enhancing the effect of image acquisition. The tracking module is connected to the two linear array CCD devices in communication to achieve real-time synchronization and processing of data. The combination of dual laser light sources and dual linear array CCD devices can significantly improve the detection accuracy. High-quality image data can be obtained on both the front and back sides of the steel plate, providing a solid foundation for subsequent data analysis and processing.

[0130] In some embodiments, the signal processing module includes a preprocessing module and a binarization module. The input end of the preprocessing module is electrically connected to the first linear array CCD device and the second linear array CCD device respectively, and the output end of the preprocessing module is electrically connected to the input end of the binarization module. The output end of the binarization module is communicatively connected to the main control module.

[0131] The preprocessing module is responsible for collecting and amplifying the image signal to enhance the anti-interference ability of the image signal. The binarization module is used to obtain the binarized waveform of the image signal, which can highlight the outline of the image, facilitate the detection and recognition of the object, and also simplify the image structure to reduce the complexity of subsequent processing.

[0132] In some embodiments, the tracking camera assembly includes a first tracking camera and a second tracking camera. The first tracking camera faces the front spray plate number of the steel plate, and the second tracking camera faces the side spray plate number of the steel plate. The tracking module is respectively connected to the first tracking camera and the second tracking camera for communication.

[0133] The front spray plate number and the side spray plate number are obtained by the first tracking camera and the second tracking camera, and by comparing the front spray plate number and the side spray plate number, potential incorrect spray plate number problems are detected, thereby ensuring the accuracy of subsequent data tracking.

[0134] It can be seen from the above technical scheme that the embodiment of the present application provides a steel plate data tracking method and device, which controls the camera to shoot and collect steel plate image information through a synchronizer, and calculates the length and width of the steel plate according to the steel plate edge detection algorithm and the steel plate image information. Laser is emitted to the upper and lower surfaces of the steel plate through a laser light source and the linear array CCD component is driven by a driving module to collect the upper and lower surface spot image information. The upper and lower surface spot image information is processed by a signal processing module and the thickness of the steel plate is calculated according to the angle information of the laser light source and the parameter information of the linear array CCD component. The length, width and thickness of the steel plate are stored in a measurement database. The steel plate information data is obtained from the measurement database through a tracking module, and the steel plate automatic tracking data is generated according to the steel plate information data and the speed information of the roller, so as to solve the problems of inaccurate and low efficiency of steel plate data tracking.

[0135] Similar parts between the embodiments provided in this application can be referenced to each other. The specific implementation methods provided above are only a few examples under the general concept of this application and do not constitute a limitation on the protection scope of this application. For those skilled in the art, any other implementation methods expanded based on the scheme of this application without creative work belong to the protection scope of this application.

Claims

1. A steel plate data tracking method, characterized in that: The method comprises: Controlling the camera to shoot and collect steel plate image information by a synchronizer, wherein the steel plate image information includes images of the steel plate and the ruler; Calculate the length and width of the steel plate according to the steel plate edge detection algorithm and the steel plate image information; The laser light source emits laser to the upper and lower surfaces of the steel plate and the driving module drives the linear array CCD component to collect the light spot image information of the upper and lower surfaces; Processing the upper and lower surface spot image information through a signal processing module and calculating the thickness of the steel plate according to the angle information of the laser light source and the parameter information of the linear array CCD component; Storing the length, width and thickness of the steel plate in a measurement database; Acquire steel plate information data from the measurement database through a tracking module, wherein the steel plate information data includes: steel plate number, steel type, measurement time and steel plate size; Steel plate automatic tracking data is generated according to the steel plate information data and the speed information of the roller.

2. The steel plate data tracking method according to claim 1, characterized in that: The step of calculating the length and width of the steel plate according to the steel plate edge detection algorithm and the steel plate image information comprises: Reading and analyzing the image information of the steel plate at the same time to determine the image with the head and tail of the steel plate; The head and tail regions in the images of the head and tail of the steel plate are extracted and mapped onto a ruler to obtain the length and width of the steel plate.

3. The steel plate data tracking method according to claim 1, characterized in that: After the steel plate automatic tracking data is generated according to the steel plate information data and the roller speed information, the method further comprises: Control the tracking camera assembly to shoot and collect the injection plate number image information of the steel plate through the tracking module; Compare the injection plate number in the injection plate number image information of the steel plate with the steel plate number to see if they are consistent, so as to determine whether the automatic tracking data of the steel plate is normal.

4. The steel plate data tracking method according to claim 3, characterized in that: The step of comparing the injection plate number in the injection plate number image information of the steel plate with the steel plate number to determine whether the steel plate automatic tracking data is normal includes: Obtaining the injection plate number image information and the steel plate number of the steel plate; Extracting the injection plate number in the injection plate number image information based on optical character recognition technology; Compare the injection plate number and the steel plate number to see if they are consistent; If the injection plate number is consistent with the steel plate number, the steel plate automatic tracking data is normal; If the injection plate number and the steel plate number are inconsistent, the steel plate automatic tracking data is abnormal.

5. The steel plate data tracking method according to claim 3, characterized in that: Before comparing whether the injection plate number in the injection plate number image information of the steel plate is consistent with the steel plate number, the method further includes: Control the first tracking camera to shoot and collect the positive spray plate number image information of the steel plate through the tracking module; Control the second tracking camera to shoot and collect the side spray plate number image information of the same steel plate through the tracking module; Compare the front spray plate number of the front spray plate number image information of the steel plate and the side spray plate number in the side spray plate number image information of the steel plate to see whether they are consistent; If the front spray plate number and the side spray plate number are consistent, the plate number printer is normal; If the front spray plate number and the side spray plate number are inconsistent, the plate number printer is abnormal.

6. The steel plate data tracking method according to claim 1, characterized in that: The method further comprises: Detecting whether there is new steel plate automatic tracking data in the tracking module; If there is new steel plate automatic tracking data in the tracking module, the new steel plate automatic tracking data is sent to the table inspection module; Comparing the steel plate automated tracking data in the tracking module and the surface inspection module; If there is new steel plate automatic tracking data in the table inspection module, and there is a lack of historical steel plate automatic tracking data, a prompt for lack of tracking data is generated.

7. A steel plate data tracking device, characterized in that: The steel plate data tracking method applicable to any one of claims 1 to 6, wherein the device comprises: a first measuring component, a second measuring component, a tracking component and a main control module; The first measuring component includes a ruler, a camera and a synchronizer; the ruler is arranged on one side of the roller, and a plurality of cameras are evenly arranged on the other side of the roller and form a straight line; the ruler is parallel to the moving direction of the steel plate and the straight line; the synchronizer is electrically connected to the camera; the second measuring component includes a laser light source, a linear array CCD component, a driving module and a signal processing module; the linear array CCD component is electrically connected to the driving module and the signal processing module respectively; the tracking component includes a tracking camera component and a tracking module; the tracking camera component faces the injection plate number of the steel plate, and the tracking module is respectively communicated with the tracking camera component and the driving module; the main control module is respectively communicated with the synchronizer, the laser light source, the driving module, the signal processing module and the tracking module; the main control module is configured as follows: Controlling the camera to shoot and collect steel plate image information by the synchronizer, wherein the steel plate image information includes steel plate and ruler images; Calculate the length and width of the steel plate according to the steel plate edge detection algorithm and the steel plate image information; The laser light source emits laser light to the upper and lower surfaces of the steel plate and the driving module drives the linear array CCD component to collect the light spot image information of the upper and lower surfaces; Processing the upper and lower surface spot image information by the signal processing module and calculating the thickness of the steel plate according to the angle information of the laser light source and the parameter information of the linear array CCD component; Storing the length, width and thickness of the steel plate in a measurement database; Acquire steel plate information data from the measurement database through the tracking module, wherein the steel plate information data includes: steel plate number, steel type, measurement time and steel plate size; Steel plate automatic tracking data is generated according to the steel plate information data and the speed information of the roller.

8. The steel plate data tracking device according to claim 7, characterized in that: The laser light source includes a first laser light source and a second laser light source; the linear array CCD assembly includes a first linear array CCD device and a second linear array CCD device; The first laser light source and the first linear array CCD device are located on the upper part of the steel plate, and the laser light emitted by the first laser light source is reflected from the upper surface of the steel plate to the photosensitive surface of the first linear array CCD device; The second laser light source and the second linear array CCD device are located at the lower part of the steel plate, and the laser light emitted by the second laser light source is reflected by the lower surface of the steel plate to the photosensitive surface of the second linear array CCD device.

9. The steel plate data tracking device according to claim 7, characterized in that: The signal processing module includes a preprocessing module and a binarization module; The input end of the preprocessing module is electrically connected to the first linear array CCD device and the second linear array CCD device respectively, and the output end of the preprocessing module is electrically connected to the input end of the binarization module; the output end of the binarization module is communicatively connected to the main control module.

10. The steel plate data tracking device according to claim 7, characterized in that: The tracking camera assembly includes a first tracking camera and a second tracking camera; The first tracking camera faces the front spray plate number of the steel plate, and the second tracking camera faces the side spray plate number of the steel plate; The tracking module is communicatively connected to the first tracking camera and the second tracking camera respectively.

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