Tension monitoring method and system for mold core conveying equipment

Abstract

The invention relates to the field of tension monitoring, in particular to a tension monitoring method and system for mold core conveying equipment, and the method comprises the steps: calculating the tensioning degree of a whole mold core; the tensioning degree is sent to a preset matching model, and a corresponding balance weight is output; the calculation method of the tensioning degree comprises the steps that a window is arranged on an image collected in real time, a mold core area penetrates through the window, and the whole mold core is divided into multiple sections of mold cores according to the window; in the conveying process of the whole mold core, the bending degree of each section of mold core is calculated, and a bending degree sequence about the time and the bending degree of each section of mold core is constructed; and taking the Pearson correlation coefficients of the bending degree sequences corresponding to the adjacent mold cores as similarities, and taking the mean value of the similarities as the tension degree of the whole mold core. The conveying device has the effect of automatically adjusting the balance weight of the conveying device according to the tension change of the mold core.

Description

Technical Field

[0001] The present application relates to the field of tension monitoring, and in particular to a tension monitoring method and system for a mold core conveying device. Background Art

[0002] The process of hose production includes putting rubber and other raw materials into a mixer for mixing, extruding them through an extruder, cooling them, and then entering a winding machine for further processing. The hose forming method is mainly divided into coreless method, hard core method and soft core method based on whether a tube core is used. The main difference between them lies in whether a tube core is used and the material and characteristics of the core material used. The hard core method uses a hard core, which is usually solid and can be metal or other rigid materials. The hard core maintains its shape during the vulcanization process of the hose, which helps to maintain the inner diameter of the hose.

[0003] The core (tube core) of the metal hose is usually set in a roll. During use, it needs to be unfolded by an automatic bottom-pressing and releasing device (core conveying equipment). The automatic bottom-pressing and releasing device is as follows: Figure 1 As shown, it includes a frame 1, a fixed frame 2, a movable frame 3, a tension wheel 4, a suspension rope 5 and a weight 6. The fixed frame 2 is fixed on the frame 1, and a slide rail 7 is provided on the frame 1. The movable frame 3 is slidably connected to the slide rail 7 and can slide in the vertical direction to rise and fall. One end of the suspension rope 5 is fixed to the movable frame 3, and the other end is fixed to a hoisting device (not shown) provided at the rear side of the frame 1. The hoisting device can lift or lower the movable frame 3 by rotating. A plurality of weights 6 are provided on the movable frame 3. The hoisting device can adjust the length of the suspension rope 5 by rewinding and unreeling to pull the movable frame 3 to slide on the slide rail 7. Multiple sets of tension wheels 4 are provided on both the fixed frame 2 and the movable frame 3, and the free ends of the rolled mold core are pulled so that the mold core is wound around the tension wheels 4 of the fixed frame 2 and the movable frame 3 one circle at a time. The tension wheels 4 can rotate to transport the mold core and tension the mold core during the transportation process. The free end is pulled by the device of the next process to carry out the unwinding operation. During the unwinding process, the mold core moves to pull the tensioning wheel 4 to rotate, and the mold core is tensioned by the weight of the weight 6.

[0004] The above device needs to manually set the counterweight (adjust the number of weights) to adjust the tension of the core. However, during the core conveying process, due to factors such as changes in the core traction force or changes in the bending degree of the core itself, the weight of the core counterweight initially set is not suitable for the changing application scenario. If the tension of the core becomes low, the core conveying needs to be stopped at this time, and the equipment of the subsequent processing procedures of the conveying device also needs to be stopped. After adjusting the counterweight, the unwinding process and subsequent processing can be continued, which affects the production efficiency. Summary of the invention

[0005] In order to solve the technical problem of how to automatically adjust the counterweight of a conveying device according to changes in the tension of a mold core, the present application provides a tension monitoring method and system for a mold core conveying device.

[0006] In a first aspect, the present application provides a tension monitoring method for a core conveying device, which adopts the following technical solution: A tension monitoring method for a core conveying device comprises the following steps: calculating the tension of an entire core; sending the tension to a preset matching model and outputting a corresponding counterweight; calculating the similarity of a bending degree sequence corresponding to each core segment according to a DTW algorithm, and sending an alarm signal in response to the similarity being lower than a preset first threshold and higher than a second threshold; the tension calculation method comprises the following steps: setting a window on a real-time acquisition image so that the core region passes through the window, and dividing the entire core into multiple core segments according to the window; calculating the bending degree of each core segment during the conveying process of the entire core, and constructing a bending degree sequence of each core segment with respect to time and bending degree; taking the Pearson correlation coefficient of the bending degree sequence corresponding to each adjacent core segment as the similarity, and taking the mean of the similarities as the tension of the entire core.

[0007] The beneficial effect is that during the transportation of the mold core, the multiple sections of the mold core arranged in parallel between the fixed frame and the movable frame are in a vertical or nearly vertical state when tensioned. When the mold core is not tensioned, the mold core will bend, and the greater the degree of bending, the greater the tension of the mold core. Therefore, this application reflects the tension of the mold core by quantifying the degree of bending of the mold core.

[0008] When the tension of the core is low, the tension of multiple core segments will be out of sync. This phenomenon of out of sync can be quantified by calculating the similarity of the bending degree sequence composed of the tension of each core segment at the same time. The greater the similarity of the two bending degree sequences, the higher the synchronization of the tension of the core. On the contrary, the lower the synchronization of the tension. At this time, it may be due to low tension that the phenomenon of untensioned winding occurs. By calculating the similarity of all adjacent core segments and taking their average, a comprehensive tension index can be obtained, which can reflect the overall tension state of the entire core. According to the tension of the overall model, the corresponding counterweight is matched according to the matching model to achieve the effect of automatically adjusting the counterweight of the conveying device according to the change of the core tension.

[0009] The similarity of the bending degree sequence corresponding to each core segment is calculated according to the DTW algorithm. If the similarity of the bending degree sequence is low, but the similarity is high, it means that an abnormal core segment has appeared at this time, and the core segment has not been unfolded after passing through multiple tensioning wheels. At this time, the core structure itself may be deformed or twisted, and the machine needs to be stopped for manual processing.

[0010] Alternatively, the degree of curvature may be calculated as: ,in express Moment The bending degree of the segment core is The moment Segment mold core, Represents the pixel points on the outer edge of the core area The curvature of Represents the total number of pixels on the outer edge, Indicates An exponential function with base .

[0011] The beneficial effect is: by calculating the mean value of the curvature of the pixel points on the outer edge of the core area and normalizing the mean value, a quantified degree of curvature is obtained. The larger the mean value of the curvature of the pixel points on the outer edge of the core area, the greater the degree of curvature, and vice versa.

[0012] Optionally, the curvature calculation formula method is: obtain the gray value of the outer edge pixel point, construct the gray value function; construct the Hessian matrix according to the gray value function, calculate the first eigenvalue and the second eigenvalue of the Hessian matrix; obtain the curvature according to the first eigenvalue and the second eigenvalue; the expression of the curvature is = ,in, Represents the pixel points on the outer edge of the core area The curvature of represents the first eigenvalue, represents the second eigenvalue.

[0013] The beneficial effect is that the eigenvalue describes the stretching and compression characteristics of the Hessian matrix and can be used to determine the local shape of a point in the image. The product of the eigenvalues can be regarded as a measure of local curvature, and the sum of the eigenvalues can be viewed as a measure of the local scale. Therefore, this ratio can provide a quantified curvature.

[0014] Optionally, the curvature is calculated as: = ,in, Represents the pixel points on the outer edge of the core area The curvature, pixel The adjacent pixels on both sides are pixel points and pixels , Pixel With pixels The lines and pixels With pixels The angle between the lines of Represents pixel With pixels The length of the connection.

[0015] The beneficial effect is: another curvature calculation method is provided, a circumscribed circle is determined according to the pixel points on both sides of any pixel, and then the curvature of the pixel point is calculated based on the three-point circumscribed circle curvature method.

[0016] Optionally, the degree of curvature is calculated by setting the long side of the window close to the inner edge of the core area as the target side, calculating the shortest distance between the pixel point on the outer edge of the core area and the target side, and taking the normalized result of the mean or maximum value of the shortest distance as the degree of curvature.

[0017] The beneficial effect is: calculate the length of the vertical line segment from the point on the outer edge of the core area to the target edge. When the core is more curved, the tension of the core is smaller. The normalized result of the mean or maximum value of the shortest distance is larger. At this time, the curvature is larger, and the possibility that the core is not tensioned is higher. On the contrary, the curvature is smaller. The smaller it is, the higher the possibility of core tension.

[0018] Optionally, the degree of curvature is calculated as: ,in express Moment The bending degree of the segment core, Indicates the time The area of ​​the segment core, Indicates the area of ​​the window region.

[0019] The beneficial effect is that when the core is more curved, the tension of the core is less, and the area of ​​the core region in the window is larger. On the contrary, when the core is straighter, the tension of the core is greater, and the area of ​​the core region in the window is smaller. Therefore, the curvature of the core can be quantified by the proportion of the core area in the window. Specifically, the greater the curvature value, the higher the curvature of the core, and the higher the possibility that the core is not tensioned; the smaller the curvature value, the lower the curvature of the core, and the higher the possibility that the core is tensioned.

[0020] Optionally, the matching model is set up as follows: the acquisition time of the historical image and the tension of the entire mold core are used as training data, the training data is labeled with the label being the counterweight setting, the labeled training data is input into the neural network model, the neural network model is trained, and when the training reaches a preset training stop condition, the training is stopped to obtain the matching model.

[0021] In a second aspect, the present application provides a tension monitoring system for a core conveying device, which adopts the following technical solution: A tension monitoring system for a core conveying device comprises: a processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the tension monitoring method for the core conveying device is implemented.

[0022] The beneficial effect is: the above-mentioned tension monitoring method for the core conveying equipment is generated into a computer program and stored in the memory so as to be loaded and executed by the processor, thereby making a system based on the memory and the processor for easy use.

[0023] This application has the following technical effects: 1. The tension of the core is reflected by quantifying the bending degree of the core. By calculating the similarity of the bending degree sequence composed of the tension of each section of the core at the same time, the synchronization of the tension of each section of the core can be quantified. The greater the similarity of the two bending degree sequences, the higher the synchronization of the tension of the core. On the contrary, the lower the synchronization of the tension. At this time, it may be due to low tension that the phenomenon of untensioned winding occurs. By calculating the similarity of all adjacent core segments and taking their average, a comprehensive tension index can be obtained, which can reflect the overall tension state of the entire core. According to the tension of the overall model, the corresponding counterweight is matched according to the matching model to achieve the effect of automatically adjusting the counterweight of the conveying device according to the change of the core tension.

[0024] 2. Calculate the similarity of the bending degree sequence corresponding to each core segment according to the DTW algorithm. If the similarity of the bending degree sequence is low, but the similarity is high, it means that an abnormal core segment has appeared at this time, and the core segment has not been unfolded after passing through multiple tensioning wheels. At this time, the core structure itself may be deformed or twisted, and it needs to be stopped for manual processing. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] By reading the detailed description below with reference to the accompanying drawings, the above and other purposes, features and advantages of the exemplary embodiments of the present application will become easily understood. In the accompanying drawings, several embodiments of the present application are shown in an exemplary and non-restrictive manner, and the same or corresponding numbers represent the same or corresponding parts.

[0026] Figure 1 It is a background art figure which shows the structure of a conveying device.

[0027] Figure 2 It is a method flow chart of a tension monitoring method for a core conveying device according to an embodiment of the present application.

[0028] Figure 3 It is a flow chart of a method for calculating the tension degree in a tension monitoring method for a core conveying device according to an embodiment of the present application.

[0029] Figure 4 It is a schematic diagram of the planar structure of a multi-section core and multiple windows in a tension monitoring method for a core conveying device in an embodiment of the present application.

[0030] Explanation of the accompanying reference numerals: 1. frame; 2. fixed frame; 3. movable frame; 4. tensioning wheel; 5. lifting rope; 6. weight; 7. slide rail. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present application.

[0032] It should be understood that when the terms "first", "second", etc. are used in the claims, specification and drawings of the present application, they are only used to distinguish different objects, rather than to describe a specific order. The terms "include" and "comprise" used in the specification and claims of the present application indicate the presence of the described features, wholes, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or their collections.

[0033] The present application embodiment discloses a tension monitoring method for a core conveying device, referring to Figure 2 , including steps S1-S2, which are as follows: S1: Calculate the tension of the entire mold core, send the tension to the preset matching model, and output the corresponding counterweight.

[0034] Reference Figure 3 The method for calculating the tension degree includes steps S10 to S12, which are as follows: S10: Setting a window on the real-time acquisition image so that the mold core area passes through the window, and dividing the entire mold core into multiple mold core segments according to the window.

[0035] In one embodiment, a camera is set to capture a video stream of the movement of the conveying device, and frames are extracted from the video stream to obtain captured images. The frequency of frame extraction can be 30 frames per second. The frequency of frame extraction can be adjusted according to the actual application scenario, which will not be elaborated here.

[0036] The shooting angle of the present application is preferably between the front view angle and the left view angle of the conveying device, and can capture Figure 1 The image of the mold core of multiple sections arranged in parallel between the fixed frame 2 and the movable frame 3 is as follows: Figure 4As shown in the figure, the core area to be analyzed is intercepted through the window. Figure 4 The dotted line in the middle is a rectangular frame.

[0037] In one embodiment, the number of windows is one, and multiple core areas are in the same window. The number of windows can also be multiple, and the number of windows is the same as the number of core segments, and each core segment corresponds to one window.

[0038] During the transportation of the mold core, the multiple sections of the mold core arranged in parallel between the fixed frame 2 and the movable frame 3 are vertical or nearly vertical in the tensioned state. When the mold core is not tensioned, the mold core will bend, and the greater the degree of bending, the greater the tension of the mold core. Therefore, this application reflects the tension of the mold core by quantifying the degree of bending of the mold core.

[0039] S11: During the conveying process of the entire mold core, the bending degree of each section of the mold core is calculated, and a bending degree sequence of each section of the mold core with respect to time and bending degree is constructed.

[0040] The pixel points of the outer edge or inner edge of the core area are determined by image processing techniques such as edge detection algorithms.

[0041] In one embodiment, the degree of bending is calculated as follows: ,in express Moment The bending degree of the segment core is The moment Segment mold core, Represents the pixel points on the outer edge of the core area The curvature of Indicates the total number of pixels on the outer edge.

[0042] It represents the mean value of the curvature of the pixels on the outer edge of the core area. Here, the outer edge of the core area can also be replaced by the inner edge of the core area. Indicates An exponential function with base Normalize it, Get the degree of bending The larger the mean value of the pixel curvature on the outer edge of the core area, the greater the curvature. The larger the curvature, the smaller the curvature. The smaller.

[0043] Among them, the curvature of the pixel point can be calculated through the Hessian matrix. Specifically, the grayscale value of the outer edge pixel point is obtained to construct a grayscale value function; the grayscale value function is a function that describes the brightness change of the image and shows the brightness distribution of different areas in the image.

[0044] Construct the Hessian matrix based on the gray value function. The Hessian matrix is ​​a matrix composed of second-order partial derivatives, which is used to describe the local curvature of the function. The expression of the Hessian matrix can be: ,in, All images exist and The construction of the Hessian matrix is ​​a prior art and will not be described in detail here.

[0045] Calculate the first and second eigenvalues ​​of the Hessian matrix; get the curvature based on the first and second eigenvalues. The expression of curvature is = ,in, Represents the pixel points on the outer edge of the core area The curvature of represents the first eigenvalue, represents the second eigenvalue.

[0046] The eigenvalue describes the stretching and compression characteristics of the Hessian matrix and can be used to determine the local shape of a point in the image. The product of the eigenvalues can be regarded as a measure of local curvature, and the sum of the eigenvalues can be viewed as a measure of the local scale. Therefore, this ratio can provide a quantified curvature.

[0047] The curvature can also be calculated by determining a circumscribed circle based on the pixels on both sides of any pixel, and then calculating the curvature of the pixel based on the curvature of the three-point circumscribed circle. The curvature calculation formula is: = ,in, Represents the pixel points on the outer edge of the core area The curvature, pixel The adjacent pixels on both sides are pixel points and pixels , Pixel With pixels The lines and pixels With pixels The angle between the lines of Represents pixel With pixels The method based on the curvature of the three-point circumscribed circle is a prior art and will not be described in detail here.

[0048] In one embodiment, the method for calculating the degree of curvature can also be: setting the long side of the window close to the inner edge of the core area as the target side, calculating the shortest distance between the pixel point on the outer edge of the core area and the target side, and taking the average of the shortest distances or the normalized result of the maximum value of the shortest distance as the degree of curvature.

[0049] In one embodiment, taking the calculation of the maximum value of the shortest distance as an example, the mathematical expression of the bending degree is: ,in express Moment The bending degree of the segment core is The moment Segment mold core, Indicates the shortest distance between the first pixel on the outer edge of the core area and the target edge. Indicates the shortest distance between the second pixel point on the outer edge of the core area and the target edge. Indicates the outer edge of the core area. The shortest distance between a pixel point and the target edge. In this application, the shortest distance between a point and a line refers to the length of the perpendicular segment from the point to the line. The formula for calculating the shortest distance from a point to a line segment can be used for calculation. This calculation is a prior art and will not be repeated here. represents the maximum value function, that is, The maximum value in . The purpose is to Perform normalization.

[0050] Calculate the length of the vertical line segment from the point on the outer edge of the core area to the target edge. The more curved the core is, the smaller the tension of the core is. The larger the value, the greater the degree of bending, and the higher the possibility that the mold core is not tensioned. The smaller it is, the higher the possibility of core tension.

[0051] In one embodiment, the calculation formula for the bending degree is: ,in express Moment The bending degree of the segment core, Indicates the time The area of ​​the segment core, Indicates the area of ​​the window area. When the core is more curved, the tension of the core is less, and the area of ​​the core area in the window is larger. On the contrary, when the core is straighter, the tension of the core is greater, and the area of ​​the core area in the window is smaller. Therefore, the curvature of the core can be quantified by the proportion of the core area in the window. Specifically, the larger the curvature value, the higher the curvature of the core, and the more likely the core is not tensioned; the smaller the curvature value, the lower the curvature of the core, and the more likely the core is tensioned.

[0052] S12: The Pearson correlation coefficient of the bending degree sequence corresponding to each adjacent mold core is used as the similarity, and the mean of the similarities is used as the tension degree of the entire mold core.

[0053] The calculation formula for similarity can be: ,in, express Time series and sequence The similarity of represents the Pearson correlation coefficient, express Sequence of moments , express Sequence of moments The closer the value of the Pearson correlation coefficient is to 1, the stronger the sequence and sequence The closer the value of the Pearson correlation coefficient is to 0, the stronger the sequence and sequence The weaker the correlation. and sequence The closer the similarity is to 1, the more synchronized the operation of the two sections of the mold core is, and the more likely the mold core is to be tensioned. On the contrary, the more asynchronous the operation of the two sections of the mold core is, the higher the possibility of untensioning is.

[0054] When the tension of the core is low, the tension of multiple core segments will be out of sync. This phenomenon can be quantified by calculating the similarity of the bending degree sequence composed of the tension of each core segment at the same time. The greater the similarity of the two bending degree sequences, the higher the synchronization of the tension of the core. On the contrary, the lower the synchronization of the tension. At this time, it may be due to low tension that the phenomenon of untensioned winding occurs. By calculating the similarity of all adjacent core segments and taking their average, a comprehensive tension index can be obtained, which can reflect the overall tension state of the entire core.

[0055] In one embodiment, the matching model is set up by using the acquisition time of the historical acquisition image and the tension degree of the entire mold core as training data, labeling the training data with the label being the counterweight setting, inputting the labeled training data into the neural network model, training the neural network model, and when the training reaches a preset training stop condition, stopping the training to obtain the matching model.

[0056] The neural network model may be a BP (Back Propagation) neural network model, and the loss function may be a mean square error loss function.

[0057] The label "weight setting" refers to the weight of weight 6 and the number of turns of the winch. The weight of weight 6 is fixed and can be adjusted by Figure 1 The length of the middle hoisting rope 5 released, that is, the number of rotations of the winch is adjusted to adjust the height of the movable frame 3.

[0058] In the initial state, the core mold is tensioned under the combined action of the gravity of the weight 6 and the traction force of the lifting rope 5. When the tension of the core mold changes, the length of the lifting rope 5 is adjusted by controlling the number of rotations of the winch, and the height of the movable frame 3 can be adjusted. For example, when the core mold is not tensioned, the winch rotates and unwinds to lower the height of the movable frame 3 to tension the core mold.

[0059] In other embodiments, a lifting device such as a hydraulic cylinder may be provided below the movable frame 3, and the height of the movable frame 3 may be adjusted by adjusting the extension length of the cylinder shaft of the hydraulic cylinder to achieve the effect of adjusting the tension of the mold core.

[0060] S2: Calculate the similarity of the bending degree sequence corresponding to each section of the core according to the DTW algorithm, and send an alarm signal in response to the similarity being lower than a preset first threshold and higher than a second threshold.

[0061] Furthermore, the Dynamic Time Warping (DTW) algorithm can be used to calculate the changes in the tension of a section of the mold core at different positions at different times. At this time, it can be detected whether the structure of the section of the mold core is deformed (such as partial cracking, etc.) or twisted (one part of the mold core is entangled or twisted with another part, resulting in failure to unfold or operate normally).

[0062] Specifically, the similarity of the bending degree sequence corresponding to each segment of the core is calculated according to the DTW algorithm. If the similarity of the bending degree sequence is low, but the similarity is high, it means that an abnormal core segment has appeared at this time, and the core segment has not been unfolded after passing through multiple tensioning wheels 4. At this time, the core structure itself may be deformed or twisted, and it needs to be stopped for manual processing. For example, if the similarity of the bending degree sequence approaches 0 (such as lower than the preset first threshold 0.3), and the similarity approaches 1 (such as higher than the second threshold 0.8), it means that the core itself is deformed or twisted, and an alarm signal is issued to prompt manual processing. Otherwise, the conveying operation continues.

[0063] The dynamic time warping algorithm is a method for measuring the similarity between two time curvature degree sequences. It is suitable for processing situations where the two time curvature degree sequences have different lengths or there is a displacement on the time axis. It is an existing technology and will not be described in detail here.

[0064] An embodiment of the present application also discloses a tension monitoring system for a core conveying device, including a processor and a memory, wherein the memory stores computer program instructions. When the computer program instructions are executed by the processor, a tension monitoring method for a core conveying device according to the present application is implemented.

[0065] The above system also includes other components well known to those skilled in the art, such as a communication bus and a communication interface, and their configuration and functions are known in the art, so they will not be described in detail here.

[0066] In the present application, the aforementioned memory may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, apparatus, or device. For example, a computer-readable storage medium may be any appropriate magnetic storage medium or magneto-optical storage medium, such as a resistive random access memory RRAM (Resistive Random Access Memory), a dynamic random access memory DRAM (Dynamic Random Access Memory), a static random access memory SRAM (Static Random Access Memory), an enhanced dynamic random access memory EDRAM (Enhanced Dynamic Random Access Memory), a high bandwidth memory HBM (High Bandwidth Memory), a hybrid memory cube HMC (Hybrid Memory Cube), etc., or any other medium that can be used to store the required information and can be accessed by an application, a module, or both. Any such computer storage medium may be part of a device or accessible or connectable to a device.

[0067] Although this specification has shown and described a plurality of embodiments of the present application, it is obvious to those skilled in the art that such embodiments are provided by way of example only. Those skilled in the art will think of many changes, modifications and alternatives without departing from the thought and spirit of the present application. It should be understood that in the process of practicing the present application, various alternatives to the embodiments of the present application described herein may be adopted.

[0068] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A tension monitoring method for a core conveying device, characterized in that: Includes steps: Calculate the tension of the entire mold core; send the tension to the preset matching model and output the corresponding counterweight; Calculate the similarity of the bending degree sequence corresponding to each section of the core according to the DTW algorithm, and send an alarm signal in response to the similarity being lower than a preset first threshold and higher than a second threshold; The calculation method of tension is: A window is set on the real-time acquisition image so that the core area passes through the window, and the entire core is divided into multiple core sections according to the window; during the transportation of the entire core, the bending degree of each core section is calculated, and a bending degree sequence of each core section with respect to time and bending degree is constructed; the Pearson correlation coefficient of the bending degree sequence corresponding to each adjacent core section is used as the similarity, and the mean of the similarities is used as the tension of the entire core.

2. The tension monitoring method for core conveying equipment according to claim 1, characterized in that: The degree of curvature is calculated as: ,in express Moment The bending degree of the segment core is The moment Segment mold core, Represents the pixel points on the outer edge of the core area The curvature of Represents the total number of pixels on the outer edge, Indicates An exponential function with base .

3. The tension monitoring method for core conveying equipment according to claim 2, characterized in that: The calculation formula of curvature is: Get the gray value of the outer edge pixel and construct a gray value function; Construct a Hessian matrix according to the gray value function, and calculate the first eigenvalue and the second eigenvalue of the Hessian matrix; The curvature is obtained based on the first eigenvalue and the second eigenvalue; the expression of the curvature is = ,in, Represents the pixel points on the outer edge of the core area The curvature of represents the first eigenvalue, represents the second eigenvalue.

4. The tension monitoring method for a core conveying device according to claim 2, characterized in that: The curvature is calculated as: = ,in, Represents the pixel points on the outer edge of the core area The curvature, pixel The adjacent pixels on both sides are pixel points and pixels , Pixel With pixels The lines and pixels With pixels The angle between the lines of Represents pixel With pixels The length of the connection.

5. The tension monitoring method for core conveying equipment according to claim 1, characterized in that: The degree of curvature is calculated as follows: the long side of the window close to the inner edge of the core area is set as the target side, the shortest distance between the pixel point on the outer edge of the core area and the target side is calculated, and the normalized result of the mean or maximum value of the shortest distance is used as the degree of curvature.

6. The tension monitoring method for core conveying equipment according to claim 1, characterized in that: The calculation formula for the degree of bending is: ,in express Moment The bending degree of the segment core, Indicates the time The area of ​​the segment core, Indicates the area of ​​the window region.

7. The tension monitoring method for a core conveying device according to claim 1, characterized in that: The setting method of the matching model is: the acquisition time of the historical acquisition image and the tension degree of the entire mold core are used as training data, the training data are labeled, the label is the counterweight setting, the labeled training data is input into the neural network model, the neural network model is trained, and when the training reaches the preset training stop condition, the training is stopped to obtain the matching model.

8. A tension monitoring system for a core conveying device, characterized in that: include: A processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, a tension monitoring method for a core conveying device according to any one of claims 1 to 7 is implemented.

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