A safety monitoring method and system for a coil coating production line and a storage medium

Abstract

The application is suitable for the technical field of intelligent control, and provides a safety monitoring method and system for a roll coating production line and a storage medium. The method comprises: acquiring a first image captured by a first camera; acquiring maximum deviation value information of a target workpiece according to the first image, wherein the maximum deviation value information is used to describe the distance between the current position of the target workpiece and a preset qualified position; comparing the maximum deviation value information with a preset deviation threshold value; and if the maximum deviation value information is greater than the deviation threshold value, adjusting the rotating speed of a guide roller until the maximum deviation value information is equal to the deviation threshold value. The application can greatly improve the reliability and reduce the gradual deviation of the gas diffusion layer from the preset position when the roll coating production line is restarted, thereby meeting the strict production requirements in practice.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent control, in particular to a safety monitoring method and system for a roll coating production line and a storage medium. BACKGROUND

[0002] Hydrogen energy is a clean and renewable energy friendly to the environment, and is one of the ideal choices to replace traditional fossil energy; a hydrogen energy fuel cell includes a gas diffusion layer (GDL), and in the production process of the gas diffusion layer, the gas diffusion layer needs to be subjected to hydrophobic processing, which is usually completed in a roll coating production line.

[0003] At present, the roll coating production line usually transports the gas diffusion layer by using multiple guide rollers, and the gas diffusion layer is transported by the multiple guide rollers in a state of continuous cracking, tightness and difficulty in separation; when sudden situations such as abnormal fluctuation of power grid or burning of production line motor occur, the gas diffusion layer will be left on the multiple guide rollers, and with the passage of repair time, the local part of the gas diffusion layer will become loose, and when the roll coating production line is restarted after repair, the gas diffusion layer will gradually deviate from the preset position, resulting in a decrease in product yield. In order to cope with this application scenario, manual adjustment of the position of the gas diffusion layer is usually used before the roll coating production line is restarted, which has the problem of low reliability, and needs to be further improved. SUMMARY

[0004] Based on this, the embodiments of the present application provide a safety monitoring method and system for a roll coating production line and a storage medium to solve the problem of low reliability in the prior art.

[0005] In a first aspect, the embodiments of the present application provide a safety monitoring method for a roll coating production line, applied to the roll coating production line, wherein the roll coating production line is installed with a first camera and a guide roller, the first camera is used to shoot a target workpiece in a horizontal direction, and the guide roller is used to transport the target workpiece, and the method comprises:

[0006] obtaining a first image shot by the first camera;

[0007] obtaining maximum deviation value information of the target workpiece according to the first image, wherein the maximum deviation value information is used to describe the distance between the current position of the target workpiece and a preset qualified position;

[0008] comparing the maximum deviation value information with a preset deviation threshold value;

[0009] If the maximum deviation value information is greater than the deviation threshold value, the rotating speed of the guide roller is adjusted until the maximum deviation value information is equal to the deviation threshold value.

[0010] Compared with the prior art, the safety monitoring method of the roll coating production line provided by the embodiments of the present application has the beneficial effects that: the terminal device can first acquire the first image captured by the first camera, then acquire the maximum deviation value information of the target workpiece according to the first image, and then compare the maximum deviation value information with the deviation threshold value. If the maximum deviation value information is greater than the deviation threshold value, the rotating speed of the guide roller is adjusted until the maximum deviation value information is equal to the deviation threshold value. Thus, under the premise that the target workpiece does not break, the target workpiece in the loose state is changed back to the tight and not easy-to-separate state, manual adjustment of the position of the target workpiece is not needed, the reliability is improved, and the problem of low reliability is solved to a certain extent.

[0011] In a second aspect, the embodiments of the present application provide a safety monitoring system of a roll coating production line, which is applied to a roll coating production line, the roll coating production line is installed with a first camera and a guide roller, the first camera is used to capture a target workpiece in a horizontal direction, and the guide roller is used to transport the target workpiece. The system comprises:

[0012] A first image acquisition module is configured to acquire a first image captured by the first camera.

[0013] A maximum deviation value information acquisition module is configured to acquire maximum deviation value information of the target workpiece according to the first image, wherein the maximum deviation value information is used to describe the distance between the current position of the target workpiece and a preset qualified position.

[0014] A maximum deviation value information comparison module is configured to compare the maximum deviation value information with a preset deviation threshold value.

[0015] A speed adjustment module is configured to adjust the rotating speed of the guide roller if the maximum deviation value information is greater than the deviation threshold value, until the maximum deviation value information is equal to the deviation threshold value.

[0016] In a third aspect, the embodiments of the present application provide a terminal device, which comprises a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the method of the first aspect are implemented.

[0017] In a fourth aspect, the embodiments of the present application provide a computer readable storage medium, which stores a computer program. When the computer program is executed by a processor, the steps of the method of the first aspect are implemented.

[0018] It can be understood that the beneficial effects of the above-mentioned second aspect to the fourth aspect can be referred to the related description in the above-mentioned first aspect, and will not be repeated here. BRIEF DESCRIPTION OF DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or prior art description will be briefly introduced as follows.

[0020] Figure 1 is a flowchart of a safety monitoring method provided by an embodiment of the present application;

[0021] Figure 2 is a first schematic diagram of a target workpiece provided by an embodiment of the present application;

[0022] Figure 3 is a second schematic diagram of a target workpiece provided by an embodiment of the present application;

[0023] Figure 4 is a third schematic diagram of a target workpiece provided by an embodiment of the present application;

[0024] Figure 5 is a schematic diagram of a current position provided by an embodiment of the present application;

[0025] Figure 6 is a flowchart of step S410 in the safety monitoring method provided by an embodiment of the present application;

[0026] Figure 7 is a flowchart of step S421 in the safety monitoring method provided by an embodiment of the present application;

[0027] Figure 8 is a fourth schematic diagram of a target workpiece provided by an embodiment of the present application;

[0028] Figure 9 is a flowchart of step S4311 in the safety monitoring method provided by an embodiment of the present application;

[0029] Figure 10 is a module block diagram of a safety monitoring system provided by an embodiment of the present application;

[0030] Figure 11 is a schematic diagram of a terminal device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0031] In the following description, for purposes of explanation and not limitation, specific details are set forth such as particular architectures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application can be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known methods, devices, circuits, and

[0032] In the description of the specification and the appended claims herein, the terms "first", "second", "third", etc. are used only to distinguish descriptions, and cannot be understood as indicating or implying relative importance.

[0033] In the description of the specification, the phrase "one embodiment" or "some embodiments" etc. means that the specific features, structures or characteristics described in connection with the embodiment are included in one or more embodiments of the present application. Thus, the phrases "in one embodiment", "in some embodiments", "in other some embodiments", "in yet some embodiments" etc. appearing in different places in the specification are not necessarily all referring to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized. The terms "include", "contain", "have" and their variants mean "including but not limited to", unless otherwise specifically emphasized.

[0034] In order to illustrate the technical solutions described in the present application, the following will be described by specific embodiments.

[0035] Please refer to Figure 1 , Figure 1 is a flowchart of a safety monitoring method of a coil coating production line provided by an embodiment of the present application. In the embodiment, the execution subject of the safety monitoring method is a terminal device. It can be understood that the types of the terminal device include but are not limited to a mobile phone, a tablet computer, a notebook computer, an ultra-mobile personal computer (UMPC), a netbook, a personal digital assistant (PDA) and the like, and the specific type of the terminal device is not limited by the embodiments of the present application.

[0036] Please refer to Figure 1 , the safety monitoring method provided by the embodiments of the present application includes but is not limited to the following steps:

[0037] In S100, a first image photographed by a first camera is acquired.

[0038] Specifically, the safety monitoring method can be applied to a roll coating production line. The roll coating production line can be provided with a first camera configured to capture a target workpiece in a horizontal direction. The first camera can be a high-precision camera, and the target workpiece can be a gas diffusion layer. For example, Figure 2 The roll coating production line can be provided with a plurality of guide rollers configured to transport the target workpiece. Since the target workpiece is long in actual production, only part of the target workpiece is taken as an example, Figure 2 The circles in the figure represent the guide rollers.

[0039] For example, Figure 3 When the roll coating production line stops due to a sudden situation, such as abnormal fluctuations in the power grid or sudden burning of the production line motor, the gas diffusion layer will be stranded on the guide rollers. As the time for repairing the roll coating production line increases, part of the gas diffusion layer will become loose. The terminal device can first acquire a first image of the target workpiece captured by the first camera in the horizontal direction.

[0040] In S200, the maximum deviation value information of the target workpiece is acquired based on the first image.

[0041] For example, Figure 4 The maximum deviation value information is used to describe the distance between the current position of the target workpiece and a preset qualified position, that is, Figure 4 The distance corresponding to the letter "D" in the figure. The terminal device can first acquire the qualified position contour line information describing the contour line of the target workpiece in the qualified position. Then, the terminal device can acquire a plurality of real-time contour points of the target workpiece based on the first image, calculate the distance values between each real-time contour point and the qualified position contour line information, determine the target contour point as the real-time contour point with the largest distance value, and determine the maximum deviation value information based on the distance value between the target contour point and the qualified position contour line information.

[0042] In S300, the maximum deviation value information is compared with a preset deviation threshold.

[0043] Specifically, after the terminal device acquires the maximum deviation value information, the terminal device can compare the maximum deviation value information with a preset deviation threshold. The deviation threshold can be determined according to actual needs. For example, Figure 5 , Figure 5 The Figure 4 is abstractly simplified, Figure 5The scale line in the figure is used to represent the value deviating from the threshold value, and the positive and negative value directions of the maximum deviation value information are consistent with the positive and negative value directions of the deviation threshold value. In order to facilitate understanding, the deviation threshold value of the embodiment of the present application is 0, and the deviation threshold value is positively increased in the direction close to the natural gravity. The greater the deviation threshold value, the more the real-time position of the target workpiece deviates from the qualified position in the direction close to the natural gravity. The smaller the deviation threshold value, the more the real-time position of the target workpiece deviates from the qualified position in the direction away from the gravity. When the maximum deviation value information is equal to the deviation threshold value, it indicates that the real-time position of the target workpiece coincides with the qualified position. In a possible implementation manner, the deviation threshold value can take an interval, for example, 0.01 to 0.08.

[0044] In S400, if the maximum deviation value information is greater than the deviation threshold value, the rotation speed of the guide roller is adjusted until the maximum deviation value information is equal to the deviation threshold value.

[0045] Specifically, if the maximum deviation value information is greater than the deviation threshold value, it indicates that the target workpiece between the guide rollers is in a state of being too loose, and the rotation speed of the guide roller needs to be increased. Therefore, the terminal device can adjust the rotation speed of the guide roller until the maximum deviation value information is equal to the deviation threshold value.

[0046] In some possible implementation manners, in order to improve practicability, the target workpiece is changed from the state of being too loose to the state of being not easy to break, tight and loose, so as to meet the actual production requirements. Please refer to Figure 6 , step S400 includes but is not limited to the following steps:

[0047] In S410, if the maximum deviation value information is greater than the deviation threshold value, the real-time rotation speed information of the guide roller is obtained.

[0048] Specifically, if the maximum deviation value information is greater than the deviation threshold value, the terminal device can obtain the real-time rotation speed information of the guide roller, wherein the real-time rotation speed information is used to describe the real-time rotation speed of the guide roller.

[0049] In S420, the target rotation speed information is generated according to the sum of the real-time rotation speed information and the preset speed adjustment value.

[0050] Specifically, after the terminal device obtains the real-time rotation speed information of the guide roller, the terminal device can generate the target rotation speed information according to the sum of the real-time rotation speed information and the preset speed adjustment value. For example, when the real-time rotation speed information is 5 rotations per second and the speed adjustment value is 1 rotation per second, the target rotation speed information can be 6 rotations per second.

[0051] In S430, the target rotation speed information is used to control the guide roller to adjust the rotation speed until the maximum deviation value information is equal to the deviation threshold value.

[0052] Specifically, the terminal device can control the guide roller to adjust the rotation speed to the target rotation speed information, and when the rotation speed of the guide roller is the target rotation speed information and the maximum deviation value information is greater than the deviation threshold value, the terminal device executes steps S420 and S430 again until the maximum deviation value information is equal to the deviation threshold value, so that the safety monitoring method of the embodiment of the application can be applied to the target workpiece which is easy to break, such as the gas diffusion layer, and more meet the actual application requirements.

[0053] In some possible implementations, in order to meet more actual application requirements, the coil coating production line can also be installed with a second camera, which can be a high-precision camera, and the second camera is used to shoot the target workpiece in the vertical direction, please refer to Figure 7 After step S420, the method further includes but is not limited to the following steps:

[0054] In S421, a second image shot by the second camera is obtained.

[0055] Specifically, please refer to Figure 8 , the terminal device can first obtain a second image shot by the second camera in the vertical direction of the target workpiece, Figure 8 The area surrounded by the dashed line in FIG. 10B belongs to one part of the guide roller.

[0056] In S422, real-time width information of the target workpiece is obtained according to the second image.

[0057] Specifically, after the terminal device obtains the second image, the terminal device can obtain the real-time width information of the target workpiece according to the second image, wherein the real-time width information is used to describe the real-time width of the target workpiece, that is, Figure 8 The distance value corresponding to the letter "d" in FIG. 10B.

[0058] In S423, deviation width information is generated according to the difference between the real-time width information and the preset qualified width information.

[0059] Specifically, after the terminal device obtains the real-time width information, the terminal device can generate the deviation width information according to the difference between the real-time width information and the preset qualified width information, wherein the qualified width information is used to describe the width of the target workpiece in the state of not being easy to break, being tight and not easy to separate, and the deviation width information is used to describe the difference between the real-time width information and the preset qualified width information; for example, when the real-time width information is 594 mm and the qualified width information is 593.95 mm, the deviation width information is 0.05 mm.

[0060] Correspondingly, the above step S430 includes:

[0061] In S431, according to the target rotating speed information, the control guide roller adjusts the rotating speed until the maximum deviation value information is equal to the deviation threshold value and the deviation width information is equal to the preset width threshold value.

[0062] Specifically, after the terminal device generates the deviation width information, the terminal device can combine the target rotating speed information and the real-time width information to control the guide roller to adjust the rotating speed until the maximum deviation value information is equal to the deviation threshold value and the deviation width information is equal to the preset width threshold value, wherein the width threshold value can be 0, and when the deviation width information is equal to the width threshold value, it means that the real-time width information corresponding to the target workpiece is equal to the qualified width information, and at this time, the target workpiece is in a state of continuous, tight and not easy to separate.

[0063] In some possible implementations, in order to timely find possible quality problems after adjusting the target workpiece tightness state, please refer to Figure 9 After S431, the method further includes but is not limited to the following steps:

[0064] In S4311, a set of images to be detected for the target workpiece shot by the first camera is obtained.

[0065] Specifically, the set of images to be detected is composed of a plurality of consecutive first images; the terminal device can first obtain a set of images to be detected for the target workpiece shot by the first camera; for example, the terminal device can obtain the set of images to be detected at a speed of one frame per second within 10 seconds, and the set of images to be detected includes ten consecutive first images.

[0066] In S4312, the first image with maximum deviation value information less than or greater than the deviation threshold value in the set of images to be detected is determined as a key image.

[0067] Specifically, since the gas diffusion layer is mainly composed of randomly oriented carbon fibers, the thickness of the gas diffusion layer is usually between 0.15mm and 0.3mm, and the softness and hardness of different parts of the gas diffusion layer are different. When the guide roller is transported, the gas diffusion layer may be temporarily separated from the guide roller due to the fast rotating speed of the guide roller and other factors. When the gas diffusion layer is separated from the guide roller, the maximum deviation value information is less than the deviation threshold value. After the terminal device obtains the set of images to be detected, the terminal device can determine the first image with maximum deviation value information less than or greater than the deviation threshold value in the set of images to be detected as a key image. For example, in the set of images to be detected including ten consecutive first images, when the maximum deviation value information in the first first image is greater than the deviation threshold value and the maximum deviation value information in the sixth first image is greater than the deviation threshold value, the first first image and the sixth first image are both determined as key images.

[0068] In S4313, the hidden danger data set of the target workpiece is acquired according to the key image.

[0069] Specifically, the hidden danger data set includes deviation frequency information, deviation time interval information and deviation fluctuation mean information, wherein the deviation frequency information is used to describe the frame number of the key image; the deviation time interval information is used to describe the time interval between adjacent two frames of key images, for example, in a to-be-detected image set including ten consecutive first images, when the first frame of the first image and the sixth frame of the first image are key images, the value of the deviation time interval information is 5; the deviation fluctuation mean information is used to describe the average value of the maximum deviation value information corresponding to at least two frames of key images, for example, in a to-be-detected image set including ten consecutive first images, when the first frame of the first image and the sixth frame of the first image are key images, the maximum deviation value information corresponding to the first frame of the first image is 1.2 millimeters, and the maximum deviation value information corresponding to the sixth frame of the first image is 1.18 millimeters, the value of the deviation fluctuation mean information is 1.79.

[0070] In S4314, the deviation frequency information, the deviation time interval information and the deviation fluctuation mean information are input into a preset hidden danger occurrence rate calculation formula to determine the hidden danger occurrence rate information of the guide roller.

[0071] Specifically, the hidden danger occurrence rate information is used to describe the possibility of the guide roller to have an accident related to the target workpiece, for example, when the guide roller transports the gas diffusion layer, the gas diffusion layer frequently separates from the guide roller, which can cause the gas diffusion layer to gradually deviate from the preset position, and a production accident such as the gas diffusion layer falling out of the guide roller may occur, resulting in the gas diffusion layer being directly scrapped; after the terminal device acquires the hidden danger data set, the terminal device can input the deviation frequency information, the deviation time interval information and the deviation fluctuation mean information into the preset hidden danger occurrence rate calculation formula, so as to accurately determine the hidden danger occurrence rate information of the guide roller.

[0072] In some possible implementations, in order to facilitate the operation and maintenance personnel to know the possibility of the guide roller to have a production accident, the above hidden danger occurrence rate calculation formula can be:

[0073]

[0074] In the formula, Rate Hidden represents the hidden danger occurrence rate information, when the hidden danger occurrence rate information is “safe”, it indicates that the possibility of the guide roller to have a production accident is low, when the hidden danger occurrence rate information is “hidden danger”, it indicates that the possibility of the guide roller to have a production accident is high, and when the hidden danger occurrence rate information is “danger”, it indicates that the possibility of the guide roller to have a production accident is extremely high; Danger Hiddem represents the hidden danger occurrence rate characteristic value; Danger Baserepresents a preset reference hazard occurrence rate, Danger Base represents a value range of 0.8% to 1%; a represents a preset first weight factor, a [0.913, 1.218]; N Key represents deviation frequency information, N Key ≤N Gather ; β represents a preset second weight factor, β [1.191, 1.195]; T Interval represents deviation time interval information; Distance Danger represents deviation fluctuation mean information; N Gather represents a total frame number of a first image in the set of images to be detected; K Punish represents a preset penalty factor, K Punish [1.114, 1.153].

[0075] Exemplarily, when Danger Base takes 0.8%, a takes 0.913, the deviation frequency information is 2, the deviation fluctuation mean information is 1, β takes 1.191, the deviation time interval information is 8, and K Punish takes 1.114 and N Gather is 10, Danger Hidden is 0.07%, Rate Hidden is safe, and the possibility of production accidents of the target workpiece on the guide roller is low.

[0076] The implementation principle of the safety monitoring method of the coil coating production line in the embodiments of the present application is as follows: the terminal device can first acquire a first image captured by a first camera; then acquire maximum deviation value information of the target workpiece according to the first image; then compare the maximum deviation value information with a preset deviation threshold value, if the maximum deviation value information is greater than the deviation threshold value, acquire real-time rotating speed information of the guide roller, then generate target rotating speed information according to the sum of the real-time rotating speed information and a preset speed adjustment value, and then adjust the rotating speed of the guide roller in combination with the target rotating speed information until the maximum deviation value information is equal to the deviation threshold value, thereby improving the reliability and reducing the case that the gas diffusion layer gradually deviates from the preset position when the coil coating production line is restarted after maintenance.

[0077] It should be noted that the size of the serial number of each step in the above embodiments does not mean the order of execution, the execution order of each process should be determined according to its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0078] The embodiment of the application further provides a safety monitoring system of a coil coating production line, which is applied to the coil coating production line, the coil coating production line is provided with a first camera and a guide roller, the first camera is used for shooting a target workpiece in a horizontal direction, and the guide roller is used for transporting the target workpiece. For the convenience of description, only the parts related to the application are shown, such as shown in the figure, the system 100 comprises: Figure 10

[0079] The first image acquisition module 101 is used for acquiring a first image shot by the first camera.

[0080] The maximum deviation value information acquisition module 102 is used for acquiring maximum deviation value information of the target workpiece according to the first image, wherein the maximum deviation value information is used for describing the distance between the current position of the target workpiece and a preset qualified position.

[0081] The maximum deviation value information comparison module 103 is used for comparing the maximum deviation value information with a preset deviation threshold value.

[0082] The speed adjustment module 104 is used for adjusting the rotating speed of the guide roller until the maximum deviation value information is equal to the deviation threshold value, if the maximum deviation value information is greater than the deviation threshold value.

[0083] Optionally, the speed adjustment module 104 comprises:

[0084] The real-time rotating speed information acquisition submodule is used for acquiring real-time rotating speed information of the guide roller, if the maximum deviation value information is greater than the deviation threshold value.

[0085] The target rotating speed information generation submodule is used for generating target rotating speed information according to the sum of the real-time rotating speed information and a preset speed adjustment value.

[0086] The speed adjustment submodule is used for controlling the guide roller to adjust the rotating speed according to the target rotating speed information until the maximum deviation value information is equal to the deviation threshold value.

[0087] Optionally, the coil coating production line is further provided with a second camera, the second camera is used for shooting the target workpiece in a vertical direction; the system 100 further comprises:

[0088] The second image acquisition module is used for acquiring a second image shot by the second camera.

[0089] The real-time width spread value information acquisition module is used for acquiring real-time width spread value information of the target workpiece according to the second image.

[0090] The deviation width spread value information generation module is used for generating deviation width spread value information according to the difference between the real-time width spread value information and preset qualified width spread value information.

[0091] Correspondingly, the speed adjustment submodule comprises:​

[0092] The speed adjusting unit is configured to control the guide roller to adjust the rotating speed according to the target rotating speed information until the maximum deviation value information is equal to the deviation threshold value and the deviation spread value information is equal to the preset spread threshold value.

[0093] Optionally, the system 100 further comprises:

[0094] The image set acquisition module is configured to acquire a first image set captured by the first camera for the target workpiece, wherein the first image set is composed of a plurality of continuous first images.

[0095] The key image determination module is configured to determine a first image with the maximum deviation value information being less than or greater than the deviation threshold value in the first image set as a key image.

[0096] The hidden danger data set acquisition module is configured to acquire a hidden danger data set of the target workpiece according to the key image, wherein the hidden danger data set comprises deviation frequency information, deviation time interval information and deviation fluctuation average value information, the deviation frequency information is used to describe the number of frames of the key image, the deviation time interval information is used to describe the time interval between adjacent two frames of the key image, and the deviation fluctuation average value information is used to describe the average value of the maximum deviation value information corresponding to at least two frames of the key image.

[0097] The hidden danger occurrence rate information determination module is configured to input the deviation frequency information, the deviation time interval information and the deviation fluctuation average value information into a preset hidden danger occurrence rate calculation formula to determine hidden danger occurrence rate information of the guide roller, wherein the hidden danger occurrence rate information is used to describe the occurrence rate of the accident of the target workpiece of the guide roller.

[0098] Optionally, the hidden danger occurrence rate calculation formula is as follows:

[0099]

[0100] In the formula, Rate Hidden is the hidden danger occurrence rate information; Danger Hidden is a hidden danger occurrence rate characteristic value; Danger Base is a preset reference hidden danger occurrence rate, Danger Base is in a range of 0.8% to 1%; a is a preset first weight factor, a ∈ [0.913, 1.218]; N Key is the deviation frequency information, N Key ≤ N Gather ; β is a preset second weight factor, β ∈ [1.191, 1.195]; T Interval is the deviation time interval information; Distance Danger is the deviation fluctuation average value information; N GatherK is a total frame number of a first image in the image set to be detected Punish K is a preset penalty factor Punish ∈[1.114,1.153].

[0101] It should be noted that the information interaction and execution process between the above modules, since the same concept as the method embodiments of the present application, its specific functions and the resulting technical effects, specific can refer to the method embodiments, this will not be repeated here.

[0102] The present application also provides a terminal device, as shown in Figure 11 The terminal device 110 of this embodiment includes a processor 111, a memory 112, and a computer program 113 stored in the memory 112 and executable on the processor 111. The processor 111 implements the steps in the above traffic processing method embodiments when executing the computer program 113, for example Figure 1 The steps S100-S400 shown; or the processor 111 implements the functions of the modules in the above device when executing the computer program 113, for example Figure 10 The functions of the modules 101-104 shown.

[0103] The terminal device 110 can be a desktop computer, notebook, palm computer and cloud server and other computing devices, the terminal device 110 includes but is not limited to the processor 111, the memory 112. Those skilled in the art can understand that Figure 11 Only an example of the terminal device 110, and does not constitute a limitation on the terminal device 110, can include more or less components than the diagram, or combine certain components, or different components, for example, the terminal device 110 can also include input and output devices, network access devices, buses, etc.

[0104] The processor 111 can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.; the general-purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0105] The memory 112 can be an internal storage unit of the terminal device 110, for example, a hard disk or a memory of the terminal device 110, and can also be an external storage device of the terminal device 110, for example, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the terminal device 110. Further, the memory 112 can include both the internal storage unit and the external storage device of the terminal device 110. The memory 112 can also store the computer program 113 and other programs and data required by the terminal device 110, and can be used to temporarily store data that has been output or will be output.

[0106] An embodiment of the present application further provides a computer readable storage medium, which stores a computer program. The computer program, when executed by a processor, can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable code, or some intermediate form. The computer readable medium can include any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunications signal, and a software distribution medium, etc.

[0107] The above are preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. Therefore, any equivalent changes made according to the methods, principles and structures of the present application should be covered within the protection scope of the present application.

Claims

1. A method for safety monitoring of a web coating production line, applied to a web coating production line, wherein the web coating production line is installed with a first camera and a guide roller, the first camera is used for shooting a target workpiece in a horizontal direction, and the guide roller is used for transporting the target workpiece, characterized in that, The method comprises: acquiring a first image captured by the first camera; acquiring maximum deviation value information of the target workpiece according to the first image, wherein the maximum deviation value information is used to describe the distance between the current position of the target workpiece and the preset qualified position; comparing the maximum deviation value information with a preset deviation threshold value; if the maximum deviation value information is greater than the deviation threshold value, adjusting the rotating speed of the guide roller until the maximum deviation value information is equal to the deviation threshold value; wherein if the maximum deviation value information is greater than the deviation threshold value, the rotating speed of the guide roller is adjusted until the maximum deviation value information is equal to the deviation threshold value, which comprises: if the maximum deviation value information is greater than the deviation threshold value, acquiring real-time rotating speed information of the guide roller; generating target rotating speed information according to the sum of the real-time rotating speed information and a preset speed adjustment value; controlling the guide roller to adjust the rotating speed according to the target rotating speed information until the maximum deviation value information is equal to the deviation threshold value; wherein the roll coating production line is also provided with a second camera, and the second camera is used to capture the target workpiece in the vertical direction; after the target rotating speed information is generated according to the sum of the real-time rotating speed information and the preset speed adjustment value, the method further comprises: acquiring a second image captured by the second camera acquiring real-time width information of the target workpiece according to the second image; generating deviation width information according to the difference between the real-time width information and preset qualified width information; correspondingly, the controlling the guide roller to adjust the rotating speed according to the target rotating speed information until the maximum deviation value information is equal to the deviation threshold value comprises: controlling the guide roller to adjust the rotating speed according to the target rotating speed information until the maximum deviation value information is equal to the deviation threshold value and the deviation width information is equal to a preset width threshold value; wherein after the guide roller is controlled to adjust the rotating speed according to the target rotating speed information until the maximum deviation value information is equal to the deviation threshold value and the deviation width information is equal to the preset width threshold value, the method further comprises: acquiring a set of to-be-detected images of the target workpiece captured by the first camera, wherein the set of to-be-detected images is composed of a plurality of continuous first images; determining the first images with the maximum deviation value information less than or greater than the deviation threshold value in the set of to-be-detected images as key images; acquiring a hidden danger data set of the target workpiece according to the key images, wherein the hidden danger data set comprises deviation frequency information, deviation time interval information and deviation fluctuation average value information, the deviation frequency information is used to describe the frame number of the key images, the deviation time interval information is used to describe the time interval between adjacent two frames of the key images, and the deviation fluctuation average value information is used to describe the average value of the maximum deviation value information corresponding to at least two frames of the key images; Input the deviation frequency information, the deviation time interval information and the deviation fluctuation mean value information into a preset hazard occurrence rate calculation formula to determine hazard occurrence rate information of the guide roller, wherein the hazard occurrence rate information is used to describe a possibility of the guide roller having an accident related to the target workpiece.

2. The method of claim 1, wherein, The hazard occurrence rate calculation formula is as follows: In the formula, Rate Hidden is the hidden danger occurrence rate information; Danger Hidden is a hidden danger occurrence rate characteristic value; Danger Base is a preset reference hidden danger occurrence rate, Danger Base has a value range of 0.8% to 1%; α is a preset first weight factor, α ∈ [0.913, 1.218]; N Key is the deviation frequency information, N Key ≤ N Gather ; β is a preset second weight factor, β ∈ [1.191, 1.195]; T Interval is the deviation time interval information; Distance Danger is the deviation fluctuation mean information; N Gather is a total frame number of the first image in the to-be-detected image set; K Punish is a preset penalty factor, K Punish ∈ [1.114, 1.153]. 3.A safety monitoring system of a web coating production line, applied to a web coating production line, wherein the web coating production line is installed with a first camera and a guide roller, the first camera is used to take a picture of a target workpiece in a horizontal direction, and the guide roller is used to transport the target workpiece, characterized in that, The system comprises: a first image acquisition module configured to acquire a first image captured by the first camera; a maximum deviation value information acquisition module configured to acquire maximum deviation value information of the target workpiece based on the first image, wherein the maximum deviation value information is used to describe a distance between a current position of the target workpiece and a preset qualified position; a maximum deviation value information comparison module configured to compare the maximum deviation value information with a preset deviation threshold value; a speed adjustment module configured to adjust a rotating speed of the guide roller until the maximum deviation value information is equal to the deviation threshold value if the maximum deviation value information is greater than the deviation threshold value; The speed adjustment module comprises: a real-time rotating speed information acquisition submodule configured to acquire real-time rotating speed information of the guide roller if the maximum deviation value information is greater than the deviation threshold value; a target rotating speed information generation submodule configured to generate target rotating speed information based on a sum of the real-time rotating speed information and a preset speed adjustment value; a speed adjustment submodule configured to control the guide roller to adjust the rotating speed until the maximum deviation value information is equal to the deviation threshold value based on the target rotating speed information; The material coating production line is also provided with a second camera, and the second camera is configured to capture the target workpiece in a vertical direction; the system comprises: a second image acquisition module configured to acquire a second image captured by the second camera a real-time spread amount information acquisition module configured to acquire real-time spread amount information of the target workpiece based on the second image; a deviation spread amount information generation module configured to generate deviation spread amount information based on a difference between the real-time spread amount information and preset qualified spread amount information; Correspondingly, the speed adjustment submodule comprises: a speed adjustment unit configured to control the guide roller to adjust the rotating speed until the maximum deviation value information is equal to the deviation threshold value and the deviation spread amount information is equal to a preset spread threshold value based on the target rotating speed information; The system further comprises: a to-be-detected image set acquisition module configured to acquire a to-be-detected image set captured by the first camera for the target workpiece, wherein the to-be-detected image set is composed of a plurality of continuous first images; a key image determination module configured to determine the first image in the to-be-detected image set with the maximum deviation value information being less than or greater than the deviation threshold value as a key image; The hidden danger dataset obtaining module is configured to obtain a hidden danger dataset of the target workpiece according to the key image, wherein the hidden danger dataset comprises deviation frequency information, deviation time interval information and deviation fluctuation mean information, the deviation frequency information is used to describe the frame number of the key image, the deviation time interval information is used to describe the time interval between two adjacent frames of the key image, and the deviation fluctuation mean information is used to describe the average value of the maximum deviation value information corresponding to at least two frames of the key image. The hidden danger occurrence rate information determining module is configured to input the deviation frequency information, the deviation time interval information and the deviation fluctuation mean information into a preset hidden danger occurrence rate calculation formula, and determine hidden danger occurrence rate information of the guide roller, wherein the hidden danger occurrence rate information is used to describe the possibility of an accident of the guide roller with respect to the target workpiece.

4. A terminal device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, The processor executes the computer program to implement the steps of the method according to any one of claims 1 to 2.

5. A computer-readable storage medium storing a computer program, the computer program comprising instructions that, when executed by a computer, cause the computer to perform the method of any one of claims 1 to 4. The computer program is executed by the processor to implement the steps of the method according to any one of claims 1 to 2.

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