Method and device for detecting the entry slip of a rolling mill for the production of steel bars and wires

Abstract

The application provides a rolling bar and wire rod mill entrance slip detection method and device, and relates to the technical field of rolling engineering. The method comprises the following steps: collecting the rolling mill entrance image and the rolling mill exit image of the first rolling mill by using a monitoring camera; drawing an identification area in the rolling mill entrance image and the rolling mill exit image respectively; performing image processing on the images of the two identification areas, and identifying whether the rolling mill entrance and the rolling mill exit exist billets according to the image processing result; and judging whether the rolling mill entrance has a slip phenomenon according to whether the rolling mill entrance and the rolling mill exit exist billets. The application can identify whether the first rolling mill has a slip accident in real time by using the image identification method. Once the accident is detected, the automatic control system and the operator can be fed back in time for processing, so that the adverse effects of the slip accident on the production rhythm can be effectively prevented, and the economic losses caused by the damage of the rolling mill are avoided.

Description

Technical Field

[0001] This invention relates to the field of rolling engineering technology, and in particular to a method and apparatus for detecting slippage at the entrance of a steel bar and wire rod mill. Background Technology

[0002] Steel bar and wire rod production lines can produce various steel grades, specifications, and categories of bar and wire rod products, widely used in metallurgy, construction, manufacturing, and other industries, with huge demand and close ties to production and daily life. After the steel billet is heated in the heating furnace, it is rolled into different specifications and sizes by multiple rolling mills, and then the finished product is produced through a cooling and collection area. Therefore, the entire steel bar and wire rod production line can be divided into three main parts: the heating area, the rolling area, and the collection area. After the steel billet is heated to the target temperature in the heating furnace, it begins to enter the rolling area through the furnace exit roller conveyor. When the first rolling mill of the rolling mill unit successfully bites the billet, it marks the official entry of the billet into the rolling area. However, before the billet is bitten, it may fail to be successfully bitten by the first rolling mill due to problems such as incorrect billet specifications, squareness, or insufficient temperature to meet rolling requirements. The billet will slip at the mill entrance. With the development of the current one-line-one-room centralized control scheme, on-site operators mainly operate instruments and equipment in the central control room for production work. However, it is difficult for operators in the central control room to directly observe the slippage anomaly, which can easily lead to misjudgment or missed detection. If a slippage accident occurs, the following consequences will result:

[0003] 1. When a slippage accident occurs, if the operator discovers it in time, he / she needs to analyze the cause of the slippage and determine whether it is necessary to return to the furnace or perform other operations such as scrapping. This greatly affects the normal production rhythm.

[0004] 2. If the operator fails to detect the accident in time, the rolling line will continue to send steel demand signals to the heating furnace as usual, and the heating furnace will continue to output steel as usual. At this time, two steel billets will collide, causing the steel billets to bend and deform or even be pushed out of the roller table, resulting in production accidents.

[0005] 3. Slippage accidents can cause severe vibrations in the rolling mill, potentially damaging the rolling mill, rolls, and other equipment.

[0006] In the existing technology, there are methods for detecting steel biting and slippage in rolling mills on production lines, including methods that rely on manual inspection and methods that rely on judgment based on key control parameters.

[0007] Manual inspection relies entirely on the operator's visual observation and judgment. The disadvantages of this method are: it is time-consuming and labor-intensive, with extremely high labor costs, low accuracy, poor timeliness, and difficulty in providing timely warnings.

[0008] Judgment based on key control parameters refers to determining whether steel has reached the inlet position by checking the rising edge of the hot detection signal before the first stand of the rolling mill, and determining whether the steel has successfully bitten by checking whether the pressure sensor at the first stand generates pressure data. If the pressure sensor still does not generate data after a certain period of time, slippage is considered to have occurred. The disadvantages of this method are: maintenance personnel frequently move around the hot detection sensor installation position at the mill inlet, which can lead to sensor displacement that is difficult for operators and maintenance personnel to detect. Furthermore, during normal production on the first stand, different billet specifications may experience skip-passing during rolling, meaning the pressure sensor will not generate pressure data during skip-passing, leading to false judgments. Summary of the Invention

[0009] In view of this, the present invention provides a method and apparatus for detecting slippage at the entrance of a steel bar and wire rod mill, in order to solve at least one of the aforementioned problems.

[0010] To achieve the above objectives, the present invention adopts the following solution:

[0011] According to a first aspect of the present invention, an embodiment of the present invention provides a method for detecting slippage at the entrance of a steel bar and wire rod rolling mill. The method includes: acquiring images of the mill entrance and the mill exit of a first rolling mill using a monitoring camera; drawing an identification region in each of the mill entrance and mill exit images; performing image processing on the images of the two identification regions, and identifying whether a steel billet exists at the mill entrance and mill exit based on the image processing results; and determining whether slippage has occurred at the mill entrance based on the presence of a steel billet at the mill entrance and mill exit.

[0012] Preferably, in this embodiment of the invention, after acquiring the mill entrance image and mill exit image of the first mill using a monitoring camera, the method further includes: preprocessing the mill entrance image and mill exit image to reduce the negative impact of the background environment on image recognition.

[0013] Preferably, in this embodiment of the invention, the preprocessing of the mill inlet image and the mill outlet image includes: adjusting the brightness of the mill inlet image and the mill outlet image to the lowest level, and adjusting the contrast and saturation to the highest level.

[0014] Preferably, in this embodiment of the invention, drawing a recognition region in the mill inlet image and the mill outlet image respectively includes: using the gen_rectangle2 operator in the image processing operator to draw a rectangular recognition region in the mill inlet image and the mill outlet image respectively, wherein the rectangular recognition regions are located at the roller table positions before and after the mill.

[0015] Preferably, in this embodiment of the invention, image processing of the images of the two recognition regions includes: splitting the images of the two recognition regions into RGB values; subtracting the split R-channel image and B-channel image to obtain the subtracted image; and increasing the contrast of the subtracted image to improve the target color selection range.

[0016] Preferably, in this embodiment of the invention, identifying whether a steel billet exists at the mill inlet and mill outlet based on the image processing results includes: filtering the grayscale value of the image of the identified area after image processing; if there is an area with a grayscale value greater than 150, it is considered that a steel billet exists; otherwise, it is considered that a steel billet does not exist.

[0017] Preferably, in this embodiment of the invention, determining whether slippage has occurred at the mill inlet based on the presence of steel billets at the mill inlet and mill outlet includes: if there are steel billets at the mill outlet, then no slippage has occurred; if there are no steel billets at both the mill inlet and mill outlet, then the steel billets have not yet been produced, and no slippage has occurred; if there are steel billets at the mill inlet but no steel billets at the mill outlet, and after a preset time there are steel billets at the mill outlet, then no slippage has occurred; if there are steel billets at the mill inlet but no steel billets at the mill outlet, and after a preset time there are still no steel billets at the mill outlet, then slippage has occurred.

[0018] According to a second aspect of the present invention, an embodiment of the present invention provides a slippage detection device for the inlet of a steel bar and wire rod rolling mill. The device includes: an image acquisition unit for acquiring images of the inlet and outlet of a first rolling mill using a monitoring camera; an identification region drawing unit for drawing an identification region in the inlet and outlet images of the rolling mill, respectively; an image processing unit for performing image processing on the images of the two identification regions; a billet identification unit for identifying whether a billet exists at the inlet and outlet of the rolling mill based on the image processing result of the image processing unit; and a slippage judgment unit for judging whether slippage has occurred at the inlet of the rolling mill based on the presence of a billet at the inlet and outlet of the rolling mill.

[0019] Preferably, the apparatus of this embodiment further includes: an image preprocessing unit, used to preprocess the mill inlet image and the mill outlet image to reduce the negative impact of the background environment on image recognition.

[0020] Preferably, the image preprocessing unit in this embodiment of the invention is specifically used to: adjust the brightness of the mill inlet image and the mill outlet image to the lowest level, and adjust the contrast and saturation to the highest level.

[0021] Preferably, the identification region drawing unit in this embodiment of the invention is specifically used to: draw a rectangular identification region in the mill inlet image and the mill outlet image respectively using the gen_rectangle2 operator in the image processing operator, wherein the rectangular identification regions are located at the roller table positions before and after the mill.

[0022] Preferably, the image processing unit of this embodiment includes: an image splitting module for splitting the images of two recognition regions into RGB values; an image subtraction module for subtracting the split R-channel image and B-channel image to obtain the subtracted image; and a contrast adjustment module for increasing the contrast of the subtracted image to improve the target color selection range.

[0023] Preferably, the billet recognition unit in this embodiment of the invention is specifically used to: perform grayscale value screening on the image of the recognition area after image processing; if there is an area with a grayscale value greater than 150, it is considered that a billet exists; otherwise, it is considered that no billet exists.

[0024] Preferably, the slippage judgment unit in this embodiment of the invention is specifically used to make the following judgments: if there is a steel billet at the mill exit, then no slippage has occurred; if there is no steel billet at both the mill inlet and the mill outlet, then the steel billet has not yet been produced, and no slippage has occurred; if there is a steel billet at the mill inlet but no steel billet at the mill outlet, and a steel billet appears at the mill outlet after a preset time, then no slippage has occurred; if there is a steel billet at the mill inlet but no steel billet at the mill outlet, and a steel billet still appears at the mill outlet after a preset time, then slippage has occurred.

[0025] According to a third aspect of the present invention, an electronic device is also provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described method.

[0026] According to a fourth aspect of the present invention, embodiments of the present invention also provide a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the above-described method.

[0027] According to a fifth aspect of the present invention, embodiments of the present invention also provide a computer program product, including a computer program / instructions, which, when executed by a processor, implement the steps of the above-described method.

[0028] The present invention proposes a method and device for detecting slippage at the entrance of a steel bar and wire rod mill. Through image recognition, it identifies in real time whether a slippage accident has occurred on the first mill stand during production. Once an accident is detected, it can be promptly fed back to the automatic control system and operator for handling, thereby effectively preventing the adverse effects of slippage accidents on the production rhythm and avoiding economic losses caused by damage to the mill rolls. Attached Figure Description

[0029] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. In the drawings:

[0030] Figure 1 This is a schematic flowchart of a method for detecting slippage at the entrance of a steel bar and wire rod mill, provided in an embodiment of this application.

[0031] Figure 2 This application provides a schematic diagram of drawing the identification area at the entrance roller table of the first rolling mill.

[0032] Figure 3 This is a schematic diagram of the steel billet being identified in the identification area provided in the embodiments of this application;

[0033] Figure 4 This is a flowchart illustrating a method for detecting slippage at the inlet of a steel bar and wire rod mill, provided in another embodiment of this application.

[0034] Figure 5 This is a schematic diagram of the recognition area provided in the embodiments of this application after image processing;

[0035] Figure 6 This is a schematic diagram of the structure of a slippage detection device at the entrance of a steel bar and wire rod mill provided in an embodiment of this application;

[0036] Figure 7 This is a schematic diagram of the structure of the image processing unit provided in the embodiments of this application;

[0037] Figure 8 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0038] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings. Here, the illustrative embodiments of the present invention and their descriptions are used to explain the present invention, but are not intended to limit the present invention.

[0039] like Figure 1 The diagram shown is a flowchart illustrating a method for detecting slippage at the entrance of a steel bar and wire rod mill according to an embodiment of this application. The method includes the following steps:

[0040] Step S101: Use a monitoring camera to capture images of the first rolling mill's entry and exit points.

[0041] In this embodiment, to ensure the surveillance camera is unobstructed, it needs to be installed in a location where no one walks. Since the performance of surveillance cameras varies between brands, the horizontal installation position is not specifically required, but the height needs to be higher than two meters to minimize obstruction by personnel. Preferably, it can be installed on the operating side of the rolling mill, at a horizontal distance of 8 meters and a height of 5 meters from the rolling mill.

[0042] Step S102: Draw an identification region in the mill inlet image and the mill outlet image respectively.

[0043] To improve recognition accuracy, it is necessary to ensure that only the roller table positions before and after the rolling mill are identified to determine whether there is steel. Therefore, it is necessary to draw recognition areas for the rolling mill inlet and outlet images. Of course, in this embodiment, it is also feasible to use image cropping to obtain an image of the same size as the recognition area.

[0044] Preferably, in this embodiment, the `gen_rectangle2` operator in the image processing can be used to draw a rectangular recognition region in the mill inlet image and the mill outlet image, respectively. This rectangular recognition region is located at the roller table positions before and after the mill. The `gen_rectangle2` operator includes the following parameters: `Row`, `Column`, `Phi`, `Length1`, and `Length2`, where `Row` and `Column` are the center coordinates of the drawn rectangle, `Phi` is the orientation of the rectangle's vertical axis, and `Length1` and `Length2` are half the lengths of the sides parallel and perpendicular to the vertical axis, respectively. Using this operator, a rectangle at an arbitrary angle can be drawn on the image, such as... Figure 2 The image shows the identification area drawn at the entrance roller table of the first mill. The left side of the first mill 201 is the entrance roller table position, and the right side is the exit roller table position. Area 202 is the identification area drawn.

[0045] Step S103: Perform image processing on the images of the two recognition areas, and identify whether there are steel billets at the mill inlet and mill outlet based on the image processing results.

[0046] In this embodiment, image processing of the identification area is performed to effectively extract and analyze the identification area, thereby identifying whether steel billets exist at the mill inlet and outlet. Figure 3 The diagonal section 203 in the identification area of ​​the intermediate mill inlet roller table is the identified steel billet.

[0047] Step S104: Determine whether slippage has occurred at the mill inlet based on whether there are steel billets at the mill inlet and mill outlet.

[0048] Preferably, determining whether slippage has occurred at the mill inlet based on the presence of steel billets at the mill inlet and outlet can specifically include the following situations:

[0049] If there are steel billets at the mill exit, it indicates that slippage has not occurred;

[0050] If there are no billets at both the mill inlet and mill outlet, it means that the billets have not yet been produced and slippage has not occurred.

[0051] If there is a billet at the mill inlet but no billet at the mill outlet, and a billet appears at the mill outlet after a preset time, it indicates that slippage has not occurred. The preset time can be freely set according to the billet conveying speed, such as 5 seconds.

[0052] If there are billets at the mill inlet but no billets at the mill outlet, and there are still no billets at the mill outlet after a preset time, it indicates that slippage has occurred.

[0053] When slippage occurs, a slippage alarm signal can be generated to prompt the operator to take timely action.

[0054] As described above, the slippage detection method for steel bar and wire rod mills proposed in this invention uses image recognition to identify in real time whether a slippage accident has occurred on the first mill stand during production. Once an accident is detected, it can be promptly fed back to the automatic control system and operator for handling, thereby effectively preventing the adverse effects of slippage accidents on the production rhythm and avoiding economic losses caused by damage to the rolling mill.

[0055] like Figure 4 The diagram shown is a flowchart illustrating a method for detecting slippage at the entrance of a steel bar and wire rod mill, according to another embodiment of this application. The method includes the following steps:

[0056] Step S401: Use a monitoring camera to capture images of the first rolling mill's entry and exit points.

[0057] Step S402: Preprocess the mill inlet image and mill outlet image to reduce the negative impact of the background environment on image recognition.

[0058] Since the billets to be rolled before the first rolling mill are hot billets with temperatures above 1000 degrees Celsius, they emit a yellowish or orange-red light, while the background often does not. Therefore, to make the billets more prominent in the image, the preprocessing in this step preferably includes adjusting the brightness of the rolling mill inlet and outlet images to the lowest level, and the contrast and saturation to the highest level. Of course, if this step is omitted, in this embodiment, the monitoring camera can also be set to the lowest brightness and the highest contrast and saturation in step S401, and then the rolling mill inlet and outlet images can be acquired.

[0059] Step S403: Using the gen_rectangle2 operator in the image processing operator, draw a rectangular recognition region in the mill inlet image and the mill outlet image respectively. The rectangular recognition regions are located at the roller table positions before and after the mill.

[0060] Step S404: Perform RGB splitting on the images of the two recognition regions. That is, split them into three-channel images: R channel image, G channel image, and B channel image.

[0061] Step S405: Subtract the split R channel image and B channel image to obtain the subtracted image.

[0062] In this embodiment, in order to extract the distinctive orange-red and yellow colors of the billet, the split R-channel image and B-channel image can be subtracted. This process can be achieved using the image processing operator sub_image.

[0063] Step S406: Increase the contrast of the subtracted image to improve the target color selection range.

[0064] After this step, the presence or absence of the steel billet can be clearly distinguished, such as... Figure 5 As shown, after image processing, the steel billet in the identified area is white, that is... Figure 5 The white area is part 203, while the rest is black, i.e. Figure 5 The black area in the middle is section 204.

[0065] Step S407: Perform grayscale value filtering on the subtracted image. If there is a region with a grayscale value greater than 150, it is considered that a steel billet exists; otherwise, it is considered that no steel billet exists.

[0066] Step S408: Determine whether slippage has occurred at the mill inlet based on whether there are steel billets at the mill inlet and mill outlet.

[0067] Similarly, as in the above embodiments, this step may also include the following situations:

[0068] If there are steel billets at the mill exit, it indicates that slippage has not occurred;

[0069] If there are no billets at both the mill inlet and mill outlet, it means that the billets have not yet been produced and slippage has not occurred.

[0070] If there is a billet at the mill inlet but no billet at the mill outlet, and a billet appears at the mill outlet after a preset time, it indicates that slippage has not occurred. The preset time can be freely set according to the billet conveying speed, such as 5 seconds.

[0071] If there are billets at the mill inlet but no billets at the mill outlet, and there are still no billets at the mill outlet after a preset time, it indicates that slippage has occurred.

[0072] As described above, the slippage detection method for steel bar and wire rod mills proposed in this invention uses image recognition to identify in real time whether a slippage accident has occurred on the first mill stand during production. Once an accident is detected, it can be promptly fed back to the automatic control system and operator for handling, thereby effectively preventing the adverse effects of slippage accidents on the production rhythm and avoiding economic losses caused by damage to the rolling mill.

[0073] like Figure 6 The diagram shows a schematic of a slippage detection device at the entrance of a steel bar and wire rod mill provided in an embodiment of this application. The device includes an image acquisition unit 610, a recognition area drawing unit 620, an image processing unit 630, a billet recognition unit 640, and a slippage judgment unit 650, which are connected in sequence.

[0074] The image acquisition unit 610 is used to acquire images of the mill entrance and exit of the first mill using a monitoring camera.

[0075] The identification region drawing unit 620 is used to draw an identification region in the mill inlet image and the mill outlet image, respectively.

[0076] The image processing unit 630 is used to perform image processing on the images of the two recognition areas.

[0077] The billet identification unit 640 is used to identify whether a billet exists at the mill inlet and mill outlet based on the image processing results of the image processing unit.

[0078] The slippage detection unit 650 is used to determine whether slippage has occurred at the mill inlet based on whether there is a steel billet at the mill inlet and mill outlet.

[0079] Preferably, the apparatus of this embodiment may further include an image preprocessing unit, which is used to preprocess the mill inlet image and the mill outlet image to reduce the negative impact of the background environment on image recognition.

[0080] Preferably, the image preprocessing unit described above can be used to: adjust the brightness of the mill inlet image and the mill outlet image to the lowest level, and adjust the contrast and saturation to the highest level. Of course, in this embodiment, image preprocessing can also be achieved by setting the brightness of the monitoring camera to the lowest level and the contrast and saturation to the highest level.

[0081] Preferably, the above-mentioned identification area drawing unit 620 can be specifically used to: draw a rectangular identification area in the mill inlet image and the mill outlet image respectively using the gen_rectangle2 operator in the image processing operator, wherein the rectangular identification area is located at the roller table position before and after the mill.

[0082] Preferred, such as Figure 7 As shown, the image processing unit 630 may include an image splitting module 631, an image subtraction module 632, and a contrast adjustment module 633, wherein the image subtraction module 632 is connected to the image splitting module 631 and the contrast adjustment module 633 respectively.

[0083] The image splitting module 631 is used to split the images of two recognition regions into RGB values.

[0084] The image subtraction module 632 is used to subtract the split R-channel image and B-channel image to obtain the subtracted image.

[0085] The contrast adjustment module 633 is used to improve the contrast of the subtracted image to increase the target color selection range.

[0086] Preferably, the billet recognition unit 640 can be used to: perform grayscale value screening on the image of the recognition area after image processing; if there is an area with a grayscale value greater than 150, it is considered that a billet exists; otherwise, it is considered that no billet exists.

[0087] Preferably, the slippage judgment unit 650 is specifically used to make the following judgments: if there is a billet at the mill exit, then no slippage has occurred; if there is no billet at both the mill inlet and the mill outlet, then the billet has not yet been produced, and no slippage has occurred; if there is a billet at the mill inlet but no billet at the mill outlet, and a billet appears at the mill outlet after a preset time, then no slippage has occurred; if there is a billet at the mill inlet but no billet at the mill outlet, and a billet still appears at the mill outlet after a preset time, then slippage has occurred.

[0088] For a detailed description of each of the above units, please refer to the corresponding descriptions in the foregoing method embodiments, which will not be repeated here.

[0089] As described above, the slippage detection device at the entrance of a steel bar and wire rod mill proposed in this invention uses image recognition to identify in real time whether a slippage accident has occurred on the first mill stand during production. Once an accident is detected, it can be promptly fed back to the automatic control system and operator for handling, thereby effectively preventing the adverse effects of slippage accidents on the production rhythm and avoiding economic losses caused by damage to the rolling mill rolls.

[0090] Figure 8 This is a schematic diagram of an electronic device provided in an embodiment of the present invention. Figure 8The illustrated electronic device is a general-purpose data processing apparatus, comprising a general-purpose computer hardware structure, including at least a processor 801 and a memory 802. The processor 801 and memory 802 are connected via a bus 803. The memory 802 is adapted to store one or more instructions or programs executable by the processor 801. These instructions or programs are executed by the processor 801 to implement the steps in the aforementioned method for detecting slippage at the entrance of a steel bar and wire rod mill.

[0091] The processor 801 described above can be a standalone microprocessor or a collection of one or more microprocessors. Thus, the processor 801 executes commands stored in the memory 802, thereby performing the method flow of the embodiments of the present invention as described above to process data and control other devices. The bus 803 connects the aforementioned components together, and also connects these components to the display controller 804, the display device, and the input / output (I / O) device 805. The input / output (I / O) device 805 can be a mouse, keyboard, modem, network interface, touch input device, motion-sensing input device, printer, and other devices known in the art. Typically, the input / output (I / O) device 805 is connected to the system via an input / output (I / O) controller 806.

[0092] The memory 802 can store software components, such as an operating system, a communication module, an interaction module, and application programs. Each of the modules and application programs described above corresponds to a set of executable program instructions that perform one or more functions and the methods described in the embodiments of the invention.

[0093] This invention also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the above-described method for detecting slippage at the entrance of a steel bar and wire rod mill.

[0094] This invention also provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the steps of the above-described method for detecting slippage at the entrance of a steel bar and wire rod mill.

[0095] In summary, the slippage detection method and device for steel bar and wire rod mills proposed in this invention uses image recognition to identify in real time whether a slippage accident has occurred on the first mill stand during production. Once an accident is detected, it can be promptly fed back to the automatic control system and operator for handling, thereby effectively preventing the adverse effects of slippage accidents on the production rhythm and avoiding economic losses caused by damage to the rolling mill rolls.

[0096] Preferred embodiments of the invention have been described above with reference to the accompanying drawings. Many features and advantages of these embodiments are apparent from this detailed description, and therefore the claims are intended to cover all such features and advantages of these embodiments that fall within their true spirit and scope. Furthermore, since many modifications and alterations will readily occur to those skilled in the art, the embodiments of the invention are not intended to be limited to the precise structures and operations illustrated and described, but rather to encompass all suitable modifications and equivalents falling within their scope.

[0097] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0098] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0099] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0100] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0101] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above descriptions are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for detecting slippage at the entrance of a steel bar and wire rod rolling mill, characterized in that, The method includes: The first rolling mill was captured using surveillance cameras, showing images of its entrance and exit. Using the gen_rectangle2 operator in the image processing operator, a rectangular recognition region is drawn in the mill inlet image and the mill outlet image respectively. The rectangular recognition regions are located at the roller table positions before and after the mill. Image processing is performed on the images of the two recognition areas, and the presence of steel billets at the mill inlet and mill outlet is identified based on the image processing results; The presence of steel billets at the mill inlet and outlet can be used to determine whether slippage has occurred at the mill inlet. The image processing of the images of the two recognition regions includes: Perform RGB splitting on the images of the two recognition regions; The image obtained by subtracting the R channel image and the B channel image is obtained by subtracting the subtracted image. Increase the contrast of the subtracted image to broaden the target color selection range.

2. The method for detecting slippage at the inlet of a steel bar and wire rod mill as described in claim 1, characterized in that, After acquiring images of the first rolling mill's entrance and exit using a surveillance camera, the process also includes: The mill inlet and mill outlet images are preprocessed to reduce the negative impact of the background environment on image recognition.

3. The method for detecting slippage at the inlet of a steel bar and wire rod mill as described in claim 2, characterized in that, Preprocessing the mill inlet and outlet images includes adjusting the brightness of the mill inlet and outlet images to the minimum, and the contrast and saturation to the maximum.

4. The method for detecting slippage at the inlet of a steel bar and wire rod mill as described in claim 1, characterized in that, Based on the image processing results, the presence of steel billets at the mill inlet and outlet was identified, including: The image of the recognition area after image processing is filtered by gray value. If there is an area with a gray value greater than 150, it is considered that there is a steel billet; otherwise, it is considered that there is no steel billet.

5. The method for detecting slippage at the inlet of a steel bar and wire rod mill as described in claim 1, wherein determining whether slippage has occurred at the mill inlet based on the presence of steel billets at the mill inlet and outlet includes: If there are steel billets at the mill exit, then no slippage has occurred; If there are no billets at the mill inlet and mill outlet, then the billets have not yet been produced and slippage has not occurred. If there is a billet at the mill inlet but no billet at the mill outlet, and a billet appears at the mill outlet after a preset time, then no slippage has occurred. If there is a billet at the mill inlet but no billet at the mill outlet, and there is still no billet at the mill outlet after a preset time, slippage will occur.

6. A device for detecting slippage at the entrance of a steel bar and wire rod rolling mill, characterized in that, The device includes: The image acquisition unit is used to acquire images of the first rolling mill entrance and exit using a monitoring camera; The recognition region drawing unit is used to draw a rectangular recognition region in the mill inlet image and the mill outlet image respectively using the gen_rectangle2 operator in the image processing operator. The rectangular recognition regions are located at the roller table positions before and after the mill. An image processing unit is used to process the images of the two recognition regions. A billet identification unit is used to identify whether a billet exists at the mill inlet and mill outlet based on the image processing results of the image processing unit. The slippage detection unit is used to determine whether slippage has occurred at the mill inlet based on the presence of steel billets at the mill inlet and mill outlet. The image processing unit includes: The image splitting module is used to split the images of two recognition regions into RGB values. The image subtraction module is used to subtract the split R-channel image and B-channel image to obtain the subtracted image; The contrast adjustment module is used to improve the contrast of the subtracted image to increase the target color selection range.

7. The slippage detection device at the entrance of a steel bar and wire rod mill as described in claim 6, characterized in that, Also includes: An image preprocessing unit is used to preprocess the mill inlet image and mill outlet image to reduce the negative impact of the background environment on image recognition.

8. The slippage detection device at the entrance of a steel bar and wire rod mill as described in claim 7, characterized in that, The image preprocessing unit is specifically used to: adjust the brightness of the mill inlet image and the mill outlet image to the lowest level, and adjust the contrast and saturation to the highest level.

9. The slippage detection device at the entrance of a steel bar and wire rod mill as described in claim 6, characterized in that, The billet identification unit is specifically used to: filter the grayscale value of the image of the identification area after image processing; if there is an area with a grayscale value greater than 150, it is considered that a billet exists; otherwise, it is considered that no billet exists.

10. The slippage detection device at the entrance of a steel bar and wire rod mill as described in claim 6, wherein the slippage judgment unit is specifically used to make the following judgments: If there are steel billets at the mill exit, then no slippage has occurred; If there are no billets at the mill inlet and mill outlet, then the billets have not yet been produced and slippage has not occurred. If there is a billet at the mill inlet but no billet at the mill outlet, and a billet appears at the mill outlet after a preset time, then no slippage has occurred. If there is a billet at the mill inlet but no billet at the mill outlet, and there is still no billet at the mill outlet after a preset time, slippage will occur.

11. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 5.

12. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 5.

13. A computer program product comprising a computer program / instructions, characterized in that, When the computer program / instructions are executed by the processor, they implement the steps of the method according to any one of claims 1 to 5.

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