Strip steel cleaning treatment method, strip steel production system and storage medium

Abstract

The invention provides a strip steel cleaning treatment method, a strip steel production system and a storage medium, and relates to the technical field of steel production. Further, the collected surface state data can be automatically recognized, and if it is recognized that the surface of the Nth section of strip steel comprises a polluted area, the area of the polluted area is determined; inputting the area of the polluted area and the corresponding cleaning process parameters into a scale function model to fit to obtain a new target function model; according to the new cleaning process parameters, the cleaning executing mechanism of the cleaning section is controlled, and the N + 1th section of strip steel located in the cleaning section and in the transmission state is cleaned, whether the Nth section of strip steel cleaned by the cleaning executing mechanism is cleaned or not can be automatically monitored on line, a strip steel production system does not need to be controlled to stop, the yield of the Nth section of strip steel is guaranteed, and the production efficiency is improved. And cleaning parameters of the cleaning executing mechanism are automatically optimized, so that the polluted area of the Nth section of strip steel passing through the cleaning section is smaller and smaller along with time change after being cleaned.

Description

Technical Field

[0001] The present application relates to the technical field of steel production, and in particular to a strip steel cleaning method, a strip steel production system and a storage medium. Background Art

[0002] In the cold rolling hot-dip galvanizing and continuous annealing unit, after the strip has gone through the pickling process, the rolling oil and other pollutants such as iron powder and dust remaining on the surface need to be removed through the cleaning process. In this way, the high temperature generated in the annealing process after the pickling process can be avoided, which causes the residue on the surface of the strip to adhere to the surface of the strip and cause the furnace roll nodules, thereby avoiding the furnace roll mark defect on the surface of the strip. In order to control the product quality, the cleanliness of the strip after the cleaning process is tested to determine whether the surface of the strip is clean.

[0003] At present, one method of detecting the cleanliness of the strip steel after the cleaning process is to stop the strip steel after the cleaning process at regular intervals, and the staff drills into the narrow space under the production unit to stick a certain length of tape on the surface of the strip steel, and then removes the tape to detect whether the tape is clean. The above method requires frequent shutdown of the strip steel production system, which affects the output of the strip steel, and requires the staff to drill into the narrow space under the production unit, which poses a safety hazard. Summary of the invention

[0004] The present application provides a strip steel cleaning treatment method, a strip steel production system and a storage medium, which are used to solve the problem in the prior art that the cleanliness detection of the strip steel after the cleaning process requires frequent control of the strip steel production system to shut down, affecting the output of the strip steel and posing a safety hazard.

[0005] In a first aspect, the present application provides a strip steel cleaning method, which is applied to a server, comprising:

[0006] The cleaning actuator of the cleaning section is controlled to clean the Nth section of the strip steel in a transmission state on the strip steel production line based on the configured cleaning process parameters, wherein N is an integer greater than 2;

[0007] receiving surface state data of the Nth section of the strip steel in a transmission state on the strip steel production line collected by the surface state data collection component, wherein the surface state data collection component is located on one side of the surface of the Nth section of the strip steel, and in the transmission direction of the strip steel production line, the surface state data collection component is located behind a cleaning actuator of a cleaning section of the strip steel production line;

[0008] Identify the surface state data of the Nth section of the steel strip, and if it is identified that the surface of the Nth section of the steel strip includes a contaminated area, determine the area of ​​the contaminated area;

[0009] The area of ​​the contaminated area and the corresponding cleaning process parameters are input into the pre-fitted objective function model to fit a new objective function model; wherein the objective function model is fitted based on multiple sets of historical cleaning process parameters and their corresponding areas of contaminated areas;

[0010] According to the objective function model, find out the new cleaning process parameters corresponding to the smallest contaminated area;

[0011] According to the new cleaning process parameters, the cleaning actuator of the cleaning section is controlled to clean the N+1th section of strip steel which is located in the cleaning section and is in a transmission state.

[0012] In some embodiments, the contaminated area includes an oily area and a residual iron contaminated area, the surface state data includes spectral data and image data, the surface state data acquisition component includes a laser transceiver and a camera, and the surface state data of the Nth section of strip steel in a transmission state on the strip steel production line collected by the surface state data acquisition component includes: after the laser transceiver emits a laser to the surface of the Nth section of strip steel, the spectral data of the reflected laser and the image data of the surface of the Nth section of strip steel collected by the camera are obtained;

[0013] The surface state data of the Nth section of the steel strip is identified, and if it is identified that the surface of the Nth section of the steel strip includes a contaminated area, the area of ​​the contaminated area is determined, including: determining the oily area on the surface of the Nth section of the steel strip and the area of ​​the oily area based on the spectral data; and determining the residual iron contaminated area on the surface of the Nth section of the steel strip and the area of ​​the residual iron contaminated area based on the image data.

[0014] In some embodiments, determining the residual iron contamination area on the surface of the Nth section of strip steel according to the image data includes:

[0015] Convert the image data into a grayscale image and obtain the edge feature map corresponding to the grayscale image;

[0016] According to the edge detection algorithm, the grayscale image is segmented to obtain sub-image areas of different categories;

[0017] Determine the attention degree of the corresponding pixel point according to the grayscale value of each pixel point in each grayscale image, and the average grayscale value and grayscale entropy of each pixel point in the sub-image area to which the corresponding pixel point belongs;

[0018] Determine the probability that the corresponding sub-image area belongs to the residual iron pollution area according to the total number of rows of pixels in each sub-image area, the average value of the attention degree of the pixels in the corresponding sub-image area, the grayscale difference value of each two adjacent pixels in each row of pixels in the corresponding sub-image area, and the preset correction factor;

[0019] When the probability that the corresponding sub-image area belongs to the residual iron contamination area is greater than a set probability threshold, the corresponding sub-image area is determined to be the residual iron contamination area.

[0020] In some embodiments, the probability that the corresponding sub-image area belongs to the residual iron contamination area is determined according to the total number of rows of pixels in each sub-image area, the average attention value of the pixels in the corresponding sub-image area, the grayscale difference value of each two adjacent pixels in each row of pixels in the corresponding sub-image area, and a preset correction factor, including:

[0021] According to the formula Determine the probability that each sub-image area belongs to the residual iron pollution area, where P k is the probability of belonging to the residual iron pollution area, N k is the total number of rows of pixels in the K-th sub-image area, x is the total number of groups of two adjacent pixels in the m-th row of pixels in the K-th sub-image area, and b k，m，n is the grayscale difference value of the nth group of two adjacent pixels in the mth row of pixels in the Kth sub-image area, is the correction factor, is the mean value of the attention of the pixels in the Kth sub-image area.

[0022] In some embodiments, before receiving the surface state data of the Nth section of the strip steel collected by the surface state data collection component, the method provided by the present application further includes:

[0023] The first purge component is controlled to purge one side of the surface of the Nth section of the strip steel, and the second purge component is controlled to purge one side of the surface of the Nth section of the strip steel, wherein, in the transmission direction of the strip steel production line, the first purge component is located between the cleaning actuator and the laser transceiver of the cleaning section of the strip steel production line, and the second purge component is located between the laser transceiver and the camera.

[0024] In some implementations, determining the attention level of the corresponding pixel point according to the grayscale value of each pixel point in each grayscale image, and the average grayscale value and grayscale entropy of each pixel point in the sub-image area to which the corresponding pixel point belongs, includes:

[0025] According to the formula Determine the attention degree of the corresponding pixel point, where hi,j represents the gray value of the jth pixel in the i-th sub-image area, represents the average gray value of the ith sub-image area, Ti represents the average gray entropy value of the ith sub-image area, and Pij represents the attention degree of the jth pixel in the ith sub-image area.

[0026] In some embodiments, after receiving the surface state data of the Nth section of the strip steel in a transmission state on the strip steel production line collected by the surface state data collection component, the method provided by the present application further includes:

[0027] Send surface status data to the monitoring terminal for display.

[0028] In the second aspect, the present application also provides a strip steel production system, including a strip steel production line, a surface state data acquisition component, and a server, the strip steel production line including a cleaning section provided with a cleaning actuator, the cleaning actuator being used to clean the Nth section of strip steel transmitted on the strip steel production line, the surface state data acquisition component being located on one side of the surface of the Nth section of strip steel, and in the transmission direction of the strip steel production line, the surface state data acquisition component being located behind the cleaning section of the strip steel production line, the surface state data acquisition component being used to collect surface state data of the Nth section of strip steel in a transmission state on the strip steel production line, and the server being used to execute the method provided in the first aspect of the present application.

[0029] In some embodiments, the strip steel production system further includes a first stabilizing roller and a second stabilizing roller disposed at intervals, the first stabilizing roller and the second stabilizing roller being used to transmit the Nth section of the strip steel, and in the transmission direction of the strip steel production line, the surface state data acquisition component is located between the first stabilizing roller and the second stabilizing roller.

[0030] In some embodiments, a protective cover is disposed outside the surface state data acquisition component.

[0031] In a third aspect, the present application further provides a storage medium on which a computer program is stored, wherein the computer program, when executed by a processor, implements the method provided in the first aspect of the present application.

[0032] The present application provides a strip steel cleaning processing method, a strip steel production system and a storage medium. Since the surface state data acquisition component is located after the cleaning actuator of the cleaning section of the strip steel production line in the transmission direction of the strip steel production line, the surface state data acquisition component collects the surface state data of the Nth strip steel after being cleaned by the cleaning actuator. Then, the collected surface state data can be automatically identified. If the surface state data of the Nth strip steel is identified, if it is identified that the surface of the Nth strip steel includes a contaminated area, the area of ​​the contaminated area is determined; the area of ​​the contaminated area and the corresponding cleaning process parameters are input into the pre-fitted objective function model to fit a new objective function model; according to the new cleaning process parameters, the cleaning actuator of the cleaning section is controlled to clean the N+1th strip steel located in the cleaning section and in the transmission state. In this way, it is possible to automatically monitor online whether the Nth strip steel after being cleaned by the cleaning actuator is clean, without the need to control the strip steel production system to shut down, thereby ensuring the output of the Nth strip steel and reducing safety hazards. Furthermore, the cleaning parameters of the cleaning actuator can be automatically optimized so that the contaminated area of ​​the Nth strip steel after cleaning becomes smaller and smaller over time, so that the strip steel can be cleaned. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0034] Figure 1 A schematic diagram of the structure of a strip steel production system provided in an embodiment of the present application;

[0035] Figure 2 A flow chart of a strip steel cleaning method provided in an embodiment of the present application;

[0036] Figure 3 A specific flow chart for determining the residual iron contamination area on the surface of the Nth section of strip steel according to image data provided in an embodiment of the present application;

[0037] Figure 4 This is a functional module block diagram of the strip cleaning processing device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0038] Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present disclosure. In addition, in the following description, descriptions of well-known structures and technologies are omitted to avoid unnecessary confusion of the concepts of the present disclosure.

[0039] Various structural schematic diagrams according to embodiments of the present disclosure are shown in the accompanying drawings. These figures are not drawn to scale, and some details are magnified and some details may be omitted for the purpose of clear expression. The shapes of various regions and layers shown in the figures and the relative sizes and positional relationships therebetween are only exemplary, and may deviate in practice due to manufacturing tolerances or technical limitations, and those skilled in the art may further design regions / layers with different shapes, sizes, and relative positions according to actual needs.

[0040] In the context of the present disclosure, when a layer / element is referred to as being "on" another layer / element, the layer / element may be directly on the other layer / element or an intervening layer / element may exist therebetween. In addition, if a layer / element is "on" another layer / element in one orientation, the layer / element may be "below" the other layer / element when the orientation is reversed.

[0041] The following is a detailed description of the technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0042] The present application embodiment provides a strip steel cleaning method, which is applied to a server 10, and the server 10 belongs to a strip steel production system. Figure 1 As shown, the strip steel production system also includes a strip steel production line, a surface state data acquisition component, a server 10 and a monitoring terminal 9. The strip steel production line includes a cleaning section 11 provided with a cleaning actuator, the cleaning actuator is used to clean the Nth strip steel 1 transmitted on the strip steel production line, the surface state data acquisition component is located on one side of the surface of the Nth strip steel 1, and in the transmission direction of the strip steel production line, the surface state data acquisition component is located after the cleaning section of the strip steel production line, and the surface state data acquisition component is used to collect the surface state data of the Nth strip steel 1 in the transmission state on the strip steel production line. It should be noted that in the transmission direction of the strip steel production line, the cleaning section 11 of the strip steel production line is preceded by a pickling section, and the pickling section is used to perform pickling treatment on the Nth strip steel 1. The pickling treatment process may include pickling the Nth strip steel 1 with shallow turbulent hydrochloric acid to remove the oxide scale and impurities on the surface of the Nth strip steel 1, improve the quality of the Nth strip steel 1, and then use a rolling mill to roll the Nth strip steel 1. In the transmission direction of the strip steel production line, the annealing section is located after the surface state data acquisition component, and the annealing section is used to anneal the Nth strip steel 1. Specifically, Figure 2As shown, the strip steel cleaning treatment method provided in the embodiment of the present application includes S201-S204, wherein:

[0043] S200: Controlling the cleaning actuator of the cleaning section 11 to clean the Nth section of the strip steel 1 in a transmission state on the strip steel production line based on the configured cleaning process parameters, wherein N is an integer greater than 2.

[0044] S201: Receive surface state data of the Nth section of strip steel 1 in a transmission state on a strip steel production line collected by a surface state data collection component.

[0045] The surface state data acquisition component is located on one side of the surface of the Nth section of the strip steel 1, and in the transmission direction of the strip steel production line, the surface state data acquisition component is located behind the cleaning actuator of the cleaning section of the strip steel production line. The server 10 may include a PCI (Peripheral Component Interconnection, PCI) slot, and the PCI slot is installed with a data acquisition card, which can be used to receive the surface state data collected by the surface state data acquisition component.

[0046] Specifically, the surface state data may include spectral data and image data, and the surface state data acquisition component includes a laser transceiver and a camera 5. Exemplarily, the camera 5 may be, but is not limited to, a high-speed industrial camera CCD (charge coupled device, CCD). The laser transceiver is used to emit a laser to the surface of the Nth section of the strip 1, obtain the spectral data of the reflected laser, and send it to the server 10. The laser transceiver includes an excitation transmitter 7, which is used to emit a laser to the surface of the Nth section of the strip 1; and also includes an excitation receiver 8, which is used to receive and obtain the spectral data of the reflected laser. The camera 5 is used to collect image data on the surface of the Nth section of the strip 1, and send it to the server 10.

[0047] It should be noted that, in the transmission direction of the strip steel production line, the first purge assembly 4 is located between the cleaning actuator of the cleaning section of the strip steel production line and the laser transceiver, and the second purge assembly 12 is located between the laser transceiver and the camera 5. The server 10 can control the first purge assembly 4 to purge one side of the surface of the Nth section of the strip steel 1, and control the second purge assembly 5 to purge one side of the surface of the Nth section of the strip steel 1. In this way, the Nth section of the strip steel 1 can be purged by the first purge assembly 4 to remove dust and other impurities on the surface before being scanned by the laser transceiver, and the second purge assembly 12 can be purged to remove dust and other impurities on the surface before the Nth section of the strip steel 1 is photographed by the camera 5, so as to improve the reliability of the spectral data and image data collected subsequently.

[0048] It should be noted that the surface state data can be sent to the monitoring terminal 9 for display so as to be browsed by the monitoring personnel.

[0049] S202: Identify the surface state data of the Nth section of the steel strip 1. If it is identified that the surface of the Nth section of the steel strip 1 includes a contaminated area, determine the area of ​​the contaminated area.

[0050] Specifically, the contaminated area on the surface of the Nth section of the steel strip 1 may include an oily area and a residual iron contaminated area. S201 may be specifically implemented as: after the laser transceiver receives the laser emitted to the surface of the Nth section of the steel strip 1, the spectrum data of the reflected laser and the image data of the surface of the Nth section of the steel strip 1 collected by the camera 5 are obtained, then S202 may be specifically implemented as: determining the oily area on the surface of the Nth section of the steel strip 1 and the area of ​​the oily area according to the spectrum data; and determining the residual iron contaminated area on the surface of the Nth section of the steel strip 1 and the area of ​​the residual iron contaminated area according to the image data.

[0051] It can be understood that the reflectivity of the oily area to laser is obviously higher than that of other materials. Therefore, the accuracy of determining the oily area on the surface of the Nth section of the strip 1 is high according to the spectral data. The reflectivity of the residual iron pollution area to light is obviously lower than that of other materials. Therefore, the reflectivity of the residual iron pollution area to the camera flash is low, which ensures the reliability of the collected image data, and the reliability of the residual iron pollution area identified by the image data is also high.

[0052] Specifically, Figure 3 As shown, according to the image data, the residual iron contamination area on the surface of the Nth section of strip steel 1 is determined, which can be specifically implemented as S301-S305.

[0053] S301: Convert image data into a grayscale image, and obtain an edge feature map corresponding to the grayscale image.

[0054] S302: Segment the grayscale image according to an edge detection algorithm to obtain sub-image regions of different categories.

[0055] For example, the principal component analysis algorithm PCA (principal components analysis, PCA) algorithm can be used to obtain the first principal component direction of the edge feature map, and the first principal component direction is used as the texture direction to obtain all textures in the grayscale image, wherein each texture is used to characterize a sub-image area of ​​a category. For example, the grayscale image can be segmented into three categories of sub-areas, and the three categories of sub-areas are oil pollution areas, residual iron pollution areas, and unpolluted areas.

[0056] S303: Determine the attention degree of the corresponding pixel point according to the grayscale value of each pixel point in each grayscale image, and the average grayscale value and grayscale entropy of each pixel point in the sub-image area to which the corresponding pixel point belongs.

[0057] For example, corresponding to pixel A, when pixel A is located in an oil pollution area, the attention degree of pixel A is determined according to the grayscale value of pixel A, the average grayscale value and grayscale entropy of each pixel in the oil pollution area to which pixel A belongs.

[0058] Specifically, according to the formula Determine the attention degree of the corresponding pixel point, where hi,j represents the gray value of the jth pixel in the i-th sub-image area, represents the average gray value of the ith sub-image area, Ti represents the average gray entropy value of the ith sub-image area, and Pij represents the attention degree of the jth pixel in the ith sub-image area.

[0059] S304: Determine the probability that the corresponding sub-image area belongs to the residual iron contamination area based on the total number of rows of pixels in each sub-image area, the average attention value of the pixels in the corresponding sub-image area, the grayscale difference value of each two adjacent pixels in each row of pixels in the corresponding sub-image area, and a preset correction factor.

[0060] Specifically, S304 can be implemented as follows: Determine the probability that each sub-image area belongs to the residual iron pollution area. k is the probability of belonging to the residual iron pollution area, N k is the total number of rows of pixels in the K-th sub-image area, x is the total number of groups of two adjacent pixels in the m-th row of pixels in the K-th sub-image area, and b k，m，n is the grayscale difference value of the nth group of two adjacent pixels in the mth row of pixels in the Kth sub-image area, is the correction factor, is the mean value of the attention of the pixels in the Kth sub-image area.

[0061] S305: When the probability that the corresponding sub-image area belongs to the residual iron contamination area is greater than a set probability threshold, determine that the corresponding sub-image area is the residual iron contamination area.

[0062] Exemplarily, it may be but not limited to 70%, 80% or 85%, etc., which is not limited here.

[0063] S203: Inputting the area of ​​the contaminated region and the corresponding cleaning process parameters into the pre-fitted objective function model to obtain a new objective function model.

[0064] The objective function model is obtained by fitting multiple groups of cleaning process parameters and the areas of contaminated areas corresponding to them in history. For example, multiple groups of cleaning process parameters and the areas of contaminated areas corresponding to them can be fitted by BP neural network to obtain the objective function model. It can be understood that when the value of N is larger, the more the areas of contaminated areas and the number of groups of corresponding cleaning process parameters that fit the objective function model are larger, and the reliability of the obtained objective function model is higher.

[0065] For example, cleaning parameters such as the conductivity of the alkali washing tank, the temperature of the alkali solution, the current density of the electrolytic cell, the temperature of the electrolytic cell solution, and the conductivity of the electrolytic cell of the cleaning execution structure may be updated.

[0066] S204: Find new cleaning process parameters corresponding to the smallest contaminated area according to the objective function model.

[0067] Specifically, the ant colony algorithm and the objective function model can be used to find new cleaning process parameters corresponding to the smallest contaminated area. It can be understood that the objective function model can be understood as a function curve, which has high points and low points. The cleaning process parameters corresponding to the lowest point (i.e., the point corresponding to the smallest contaminated area) can be found as new cleaning process parameters.

[0068] S205: According to the new cleaning process parameters, the cleaning actuator of the cleaning section 11 is controlled to clean the N+1th section of the strip steel located in the cleaning section 11 and in a transmission state.

[0069] In summary, the strip steel cleaning processing method provided by the embodiment of the present application is that in the transmission direction of the strip steel production line, the surface state data acquisition component is located after the cleaning actuator of the cleaning section of the strip steel production line; therefore, the surface state data acquisition component collects the surface state data of the Nth strip steel after being cleaned by the cleaning actuator. Then, the collected surface state data can be automatically identified. If the surface state data of the Nth strip steel is identified, if it is identified that the surface of the Nth strip steel includes a contaminated area, the area of ​​the contaminated area is determined; the area of ​​the contaminated area and the corresponding cleaning process parameters are input into the pre-fitted objective function model to fit a new objective function model; according to the new cleaning process parameters, the cleaning actuator of the cleaning section is controlled to clean the N+1th strip steel located in the cleaning section and in the transmission state. In this way, it is possible to automatically monitor online whether the Nth strip steel after being cleaned by the cleaning actuator is clean, without the need to control the strip steel production system to shut down, thereby ensuring the output of the Nth strip steel and reducing safety hazards. Furthermore, the cleaning parameters of the cleaning actuator can be automatically optimized so that the contaminated area of ​​the Nth strip steel after cleaning becomes smaller and smaller over time, so that the strip steel can be cleaned.

[0070] In addition, the present application also provides a strip steel production system, including a strip steel production line, a surface state data collection component, and a server 10, wherein the strip steel production line includes a cleaning section 11 provided with a cleaning actuator. It should be noted that the basic principle and technical effect of the strip steel production system provided in the embodiment of the present application are the same as those of the above-mentioned embodiment. For the sake of brief description, the parts not mentioned in the embodiment of the present application can refer to the corresponding contents in the above-mentioned embodiment. Exemplarily, the cleaning actuator is used to clean the Nth section of strip steel 1 transmitted on the strip steel production line, the surface state data collection component is located on one side of the surface of the Nth section of strip steel 1, and in the transmission direction of the strip steel production line, the surface state data collection component is located after the cleaning section of the strip steel production line, the surface state data collection component is used to collect the surface state data of the Nth section of strip steel 1 in the transmission state on the strip steel production line, and the server 10 is used to execute the method provided in the above-mentioned embodiment of the present application.

[0071] In some embodiments, the strip steel production system further comprises a first stabilizing roller 2 and a second stabilizing roller 3 arranged at intervals, the first stabilizing roller 2 and the second stabilizing roller 3 are used to transmit the Nth strip steel 1, and in the transmission direction of the strip steel production line, the surface state data acquisition component is located between the first stabilizing roller 2 and the second stabilizing roller 3. The first stabilizing roller 2 and the second stabilizing roller 3 can suppress the vibration of the Nth strip steel 1 in the transmission state, so as to ensure the high reliability of the collected surface state data of the Nth strip steel 1. Optionally, a protective cover 6 is provided outside the surface state data acquisition component, and the protective cover 6 is used to protect the surface state data acquisition component from being corroded by the outside.

[0072] In addition, if Figure 4 As shown, the embodiment of the present application also provides a strip steel cleaning processing device, which is configured on the server 10. It should be noted that the basic principle and technical effect of the strip steel cleaning processing device provided in the embodiment of the present application are the same as those of the above-mentioned embodiment. For the sake of brief description, for the parts not mentioned in the embodiment of the present application, reference can be made to the corresponding contents in the above-mentioned embodiment. Specifically, the strip steel cleaning processing device provided in the embodiment of the present application includes an information receiving unit, a data recognition unit, a model optimization unit, a parameter search unit, and a strip steel cleaning unit, wherein:

[0073] The strip steel cleaning unit is used to control the cleaning actuator of the cleaning section to clean the Nth strip steel in the transmission state on the strip steel production line based on the configured cleaning process parameters, where N is an integer greater than 2.

[0074] The information receiving unit is used to receive the surface state data of the Nth section of the strip steel 1 in the transmission state on the strip steel production line collected by the surface state data collection component.

[0075] The surface state data acquisition component is located on one side of the surface of the Nth section of the strip steel 1, and in the transmission direction of the strip steel production line, the surface state data acquisition component is located behind the cleaning actuator of the cleaning section of the strip steel production line.

[0076] A data identification unit is used to identify the surface state data of the Nth section of the steel strip 1, and if it is identified that the surface of the Nth section of the steel strip 1 includes a contaminated area, determine the area of ​​the contaminated area;

[0077] The model optimization unit is used to input the area of ​​the contaminated area and the corresponding cleaning process parameters into a pre-fitted objective function model to fit a new objective function model; wherein the objective function model is fitted based on multiple sets of historical cleaning process parameters and their corresponding areas of contaminated areas.

[0078] The parameter search unit is used to find the new cleaning process parameters corresponding to the minimum contaminated area according to the objective function model.

[0079] The strip cleaning unit is also used to control the cleaning actuator of the cleaning section according to new cleaning process parameters to clean the N+1th strip located in the cleaning section and in a transmission state.

[0080] In some embodiments, the contaminated area includes an oily area and a residual iron contaminated area, the surface state data includes spectral data and image data, and the surface state data acquisition component includes a laser transceiver and a camera 5. The information receiving unit is specifically used to receive the spectral data of the reflected laser after the laser transceiver emits the laser to the surface of the Nth section of the strip 1, and the image data of the surface of the Nth section of the strip 1 acquired by the camera 5.

[0081] The data identification unit is specifically used to determine the oil pollution area and the area of ​​the oil pollution area on the surface of the Nth section of strip steel 1 according to the spectral data; and to determine the residual iron pollution area and the area of ​​the residual iron pollution area on the surface of the Nth section of strip steel 1 according to the image data.

[0082] Furthermore, the data recognition unit is specifically used to convert image data into a grayscale image and obtain an edge feature map corresponding to the grayscale image; segment the grayscale image according to an edge detection algorithm to obtain sub-image areas of different categories; determine the attention degree of the corresponding pixel according to the grayscale value of each pixel in each grayscale image, and the average grayscale value and grayscale entropy of each pixel in the sub-image area to which the corresponding pixel belongs; determine the probability that the corresponding sub-image area belongs to the residual iron contamination area according to the total number of rows of pixels in each sub-image area, the average attention degree of the pixels in the corresponding sub-image area, the grayscale difference value of each adjacent two pixels in each row of pixels in the corresponding sub-image area, and a preset correction factor; when the probability that the corresponding sub-image area belongs to the residual iron contamination area is greater than a set probability threshold, determine that the corresponding sub-image area is a residual iron contamination area.

[0083] In some embodiments, the data identification unit is specifically configured to: Determine the probability that each sub-image area belongs to the residual iron pollution area. k is the probability of belonging to the residual iron pollution area, N k is the total number of rows of pixels in the K-th sub-image area, x is the total number of groups of two adjacent pixels in the m-th row of pixels in the K-th sub-image area, and b k，m，n is the grayscale difference value of the nth group of two adjacent pixels in the mth row of pixels in the Kth sub-image area, is the correction factor, is the mean value of the attention of the pixels in the Kth sub-image area.

[0084] In addition, an embodiment of the present application further provides a storage medium on which a computer program is stored, wherein the computer program, when executed by a processor, implements the method provided in the above embodiment of the present application.

[0085] In addition, an embodiment of the present application also provides a computer program product, including a computer program, which, when executed, enables a server to execute a method as provided in the above embodiment of the present application.

[0086] In the above description, the technical details such as the patterning of each layer are not described in detail. However, those skilled in the art should understand that various technical means can be used to form layers, regions, etc. of desired shapes. In addition, in order to form the same structure, those skilled in the art can also design methods that are not completely the same as the methods described above. In addition, although the various embodiments are described above separately, this does not mean that the measures in the various embodiments cannot be used in combination to advantage.

[0087] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0088] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A strip steel cleaning method, characterized in that: Applied to a server, the method comprises: The cleaning actuator of the cleaning section is controlled to clean the Nth section of the strip steel in a transmission state on the strip steel production line based on the configured cleaning process parameters, wherein N is an integer greater than 2; Receiving surface state data of an Nth section of strip steel in a transmission state on a strip steel production line collected by a surface state data collection component, wherein the surface state data collection component is located on one side of the surface of the Nth section of strip steel, and in the transmission direction of the strip steel production line, the surface state data collection component is located behind a cleaning actuator of a cleaning section of the strip steel production line; Identifying the surface state data of the Nth section of the steel strip, and if it is identified that the surface of the Nth section of the steel strip includes a contaminated area, determining the area of ​​the contaminated area; The area of ​​the contaminated area and the corresponding cleaning process parameters are input into a pre-fitted objective function model to fit a new objective function model; wherein the objective function model is fitted based on multiple sets of historical cleaning process parameters and their corresponding areas of contaminated areas; According to the objective function model, new cleaning process parameters corresponding to the smallest contaminated area are found; According to the new cleaning process parameters, the cleaning actuator of the cleaning section is controlled to clean the N+1th section of strip steel located in the cleaning section and in a transmission state.

2. The method according to claim 1, characterized in that The contaminated area includes an oily area and a residual iron contaminated area, the surface state data includes spectral data and image data, the surface state data acquisition component includes a laser transceiver and a camera, and the surface state data of the Nth section of the strip steel in a transmission state on the strip steel production line collected by the surface state data acquisition component includes: After receiving the laser emitted by the laser transceiver to the surface of the N-th section of the strip steel, spectrum data of the reflected laser and image data of the surface of the N-th section of the strip steel collected by the camera are obtained; The identifying of the surface state data of the Nth section of the strip steel, and if it is identified that the surface of the Nth section of the strip steel includes a contaminated area, determining the area of ​​the contaminated area, comprises: According to the spectral data, the oily contaminated area on the surface of the Nth section of the strip and the area of ​​the oily contaminated area are determined; and according to the image data, the residual iron contaminated area on the surface of the Nth section of the strip and the area of ​​the residual iron contaminated area are determined.

3. The method according to claim 2, characterized in that Determining the residual iron contamination area on the surface of the Nth section of strip steel according to the image data includes: Convert the image data into a grayscale image, and obtain an edge feature map corresponding to the grayscale image; According to the edge detection algorithm, the grayscale image is segmented to obtain sub-image areas of different categories; Determine the attention degree of the corresponding pixel point according to the grayscale value of each pixel point in each grayscale image, and the average grayscale value and grayscale entropy of each pixel point in the sub-image area to which the corresponding pixel point belongs; Determine the probability that the corresponding sub-image area belongs to the residual iron pollution area according to the total number of rows of pixels in each sub-image area, the average value of the attention degree of the pixels in the corresponding sub-image area, the grayscale difference value of each two adjacent pixels in each row of pixels in the corresponding sub-image area, and the preset correction factor; When the probability that the corresponding sub-image area belongs to the residual iron contamination area is greater than a set probability threshold, the corresponding sub-image area is determined to be the residual iron contamination area.

4. The method according to claim 3, characterized in that The method of determining the probability that the corresponding sub-image area belongs to the residual iron pollution area according to the total number of rows of pixels of each sub-image area, the average value of the attention degree of the pixels of the corresponding sub-image area, the grayscale difference value of each two adjacent pixels in each row of pixels of the corresponding sub-image area, and the preset correction factor includes: According to the formula Determine the probability that each sub-image area belongs to the residual iron pollution area, where P k is the probability of belonging to the residual iron pollution area, N k is the total number of rows of pixels in the K-th sub-image area, x is the total number of groups of two adjacent pixels in the m-th row of pixels in the K-th sub-image area, and b k，m，n is the grayscale difference value of the nth group of two adjacent pixels in the mth row of pixels in the Kth sub-image area, is the correction factor, 为 The mean value of the attention of the pixels in the Kth sub-image area.

5. The method according to claim 3, characterized in that: Before receiving the surface state data of the Nth section of the strip steel collected by the surface state data collection component, the method further includes: The first purge component is controlled to purge one side of the surface of the Nth section of the strip steel, and the second purge component is controlled to purge one side of the surface of the Nth section of the strip steel, wherein in the transmission direction of the strip steel production line, the first purge component is located between the cleaning actuator of the cleaning section of the strip steel production line and the laser transceiver, and the second purge component is located between the laser transceiver and the camera.

6. The method according to claim 3, characterized in that The step of determining the attention degree of the corresponding pixel point according to the grayscale value of each pixel point in each grayscale image and the average grayscale value and grayscale entropy of each pixel point in the sub-image area to which the corresponding pixel point belongs includes: According to the formula Determine the attention degree of the corresponding pixel point, where hi,j represents the gray value of the jth pixel in the i-th sub-image area, represents the average gray value of the ith sub-image area, Ti represents the average gray entropy value of the ith sub-image area, and Pij represents the attention degree of the jth pixel in the ith sub-image area.

7. A strip steel production system, characterized in that: The strip steel production system includes a strip steel production line, a surface state data acquisition component, and a server. The strip steel production line includes a cleaning section provided with a cleaning actuator, and the cleaning actuator is used to clean the Nth section of strip steel transmitted on the strip steel production line. The surface state data acquisition component is located on one side of the surface of the Nth section of strip steel, and in the transmission direction of the strip steel production line, the surface state data acquisition component is located after the cleaning section of the strip steel production line. The surface state data acquisition component is used to collect surface state data of the Nth section of strip steel in a transmission state on the strip steel production line. The server is used to execute any method described in claims 1-6.

8. The system according to claim 7, characterized in that The strip steel production system also includes a first stabilizing roller and a second stabilizing roller arranged at intervals, the first stabilizing roller and the second stabilizing roller are used to transmit the Nth section of strip steel, and in the transmission direction of the strip steel production line, the surface state data acquisition component is located between the first stabilizing roller and the second stabilizing roller.

9. The system according to claim 7, characterized in that A protective cover is arranged outside the surface state data acquisition component.

10. A storage medium, characterized in that: A computer program is stored thereon, wherein when the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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