Cutting control method and device for two-device copper pipe and electronic equipment

Abstract

The invention provides a two-device copper pipe cutting control method and device and electronic equipment. The method comprises the following steps: acquiring images of the two-device copper pipe, wherein the images of the two-device copper pipe comprise an end face image and a chip image; according to the image of the two-device copper pipe, whether cutting of the two-device copper pipe meets production requirements or not is determined, and the production requirements comprise the cutting quality requirement and the cutting efficiency requirement; and under the condition that the production requirement is not met, the cutting speed of the cutter and / or the running speed of the production line are / is adjusted till the production requirement is met. The cutting quality of the two-device copper pipe is monitored in real time by applying an image processing technology. And cutting quality and cutting speed are both considered.

Description

Technical Field

[0001] The present application relates to the field of air conditioning, and more specifically, to a cutting control method, device, computer-readable storage medium and electronic device for two-device copper tubes. Background Art

[0002] The copper tubes of the two air conditioners are the core components of the two air conditioners and are used to fill the refrigerant of the air conditioner. The texture of the copper tubes of the two air conditioners is relatively soft, which is very easy to cause deformation and damage during cutting. In actual production, the copper tubes are automatically cut by cutting equipment, and the cutting speed and production line running speed are manually set.

[0003] Since the cutter of the cutting equipment is a consumable, it will wear out after long-term use. In addition, the specifications of the copper tubes and the speed of the production line in actual production will change due to actual production. If the parameters are set according to manual experience, it is impossible to monitor the cutting status changes in real time. The cutting quality of the copper tube is difficult to control. If it is always monitored manually, manpower costs will be wasted and cutting failures will easily occur. Cutting failures will lead to defective products and reduce production efficiency, which will also cause loss of material costs. Summary of the invention

[0004] The main purpose of the present application is to provide a cutting control method, device, computer-readable storage medium and electronic device for two-device copper tubes, so as to at least solve the problem that the cutting quality of the two-device copper tubes of the current air conditioner is difficult to monitor in real time.

[0005] In order to achieve the above-mentioned purpose, according to the first aspect of the present application, a cutting control method for two-vessel copper tubes is provided, comprising: acquiring images of the two-vessel copper tubes, the images of the two-vessel copper tubes including end face images and chip images; determining whether the cutting of the two-vessel copper tubes meets production requirements based on the images of the two-vessel copper tubes, wherein the production requirements include cutting quality requirements and cutting efficiency requirements; if the production requirements are not met, adjusting the cutting knife lowering speed and / or the production line operation speed until the production requirements are met.

[0006] Optionally, the end face image includes an end face side image, and determining whether the cutting of the two vessel copper tubes meets production requirements based on the images of the two vessel copper tubes includes: extracting the end face side profiles of the two vessel copper tubes from the end face side image; and determining whether the cutting quality requirements are met based on the shapes of the end face side profiles of the two vessel copper tubes.

[0007] Optionally, the end face image includes an end face front image, and determining whether the cutting of the two-device copper tubes meets the production requirements based on the images of the two-device copper tubes includes: determining whether there is a streak area in the end face front image, wherein the existence of the streak area reflects that the end faces of the two-device copper tubes are burned and oxidized; when the streak area exists in the end face front image, determining that the cutting of the two-device copper tubes does not meet the cutting quality requirements.

[0008] Optionally, the cutting efficiency requirement includes a cutting feed rate requirement, and determining whether the cutting of the two-device copper tubes meets the production requirements based on the images of the two-device copper tubes includes: extracting a chip contour from the chip image; and determining whether the cutting feed rate requirement is met based on the chip contour.

[0009] Optionally, determining whether the cutting feed rate requirement is met based on the chip profile includes: determining that the cutting feed rate requirement is not met when the chip profile indicates that the chip shape is strip-shaped, or the chip shape is irregular; determining that the cutting feed rate requirement is met when the chip profile indicates that the chip shape is granular, and the area of ​​the granular chips is less than a preset area lower limit; and / or determining whether the cutting of the two-device copper tube meets the production requirements based on the image of the two-device copper tube, also includes: determining that the cutting feed rate requirement is met when the chip shape is not extracted from the chip image.

[0010] Optionally, after extracting the chip contour from the chip image, the method further includes: determining the chip area based on the chip contour, and when the chip area is greater than a preset area upper limit value, determining that the chip shape is an irregular shape; and when the chip contour is an asymmetric shape, determining that the chip shape is an irregular shape.

[0011] Optionally, after acquiring the images of the copper tubes of the two devices, the method further comprises: determining the sharpness of the cutting knife according to the end surface images.

[0012] Optionally, when the production requirements are not met, the cutting knife speed and / or the production line running speed are adjusted until the production requirements are met, including: obtaining an artificial intelligence model, the input of the artificial intelligence model is the cutting knife speed and the production line running speed, and the output is the end face shape and the chip shape; when the production requirements are not met, adjusting the cutting knife speed and / or the production line running speed multiple times, inputting the adjusted cutting knife speed and / or the adjusted production line running speed into the artificial intelligence model to obtain corresponding output, and performing multiple iterations until the production requirements are met.

[0013] According to a second aspect of the present application, a cutting control device for two-vessel copper tubes is provided, comprising: an acquisition unit, used to acquire images of the two-vessel copper tubes, the images of the two-vessel copper tubes including end face images and chip images; a first determination unit, used to determine whether the cutting of the two-vessel copper tubes meets production requirements based on the images of the two-vessel copper tubes, wherein the production requirements include cutting quality requirements and cutting efficiency requirements; an adjustment unit, used to adjust the cutting knife speed and / or the production line operation speed until the production requirements are met if the production requirements are not met.

[0014] According to a third aspect of the present application, a computer-readable storage medium is provided, the computer-readable storage medium comprising a stored program, wherein when the program is run, the device where the computer-readable storage medium is located is controlled to execute any one of the two-device copper tube cutting control methods.

[0015] According to a fourth aspect of the present application, an electronic device is provided, comprising: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors, and the one or more programs include a method for executing any one of the cutting control methods for two-device copper tubes.

[0016] Applying the technical solution of the present application, by acquiring images of the two-container copper tubes, the images of the two-container copper tubes include end face images and chip images; determining whether the cutting of the two-container copper tubes meets the production requirements based on the images of the two-container copper tubes, wherein the production requirements include cutting quality requirements and cutting efficiency requirements; if the production requirements are not met, adjusting the cutting speed of the cutting knife and / or the production line operation speed until the production requirements are met. Applying image processing technology to monitor the cutting quality of the two-container copper tubes in real time, strict control of the cutting quality of the two-container copper tubes is achieved. While ensuring cutting quality, cutting efficiency is also taken into account. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings constituting part of the present application are used to provide a further understanding of the present application. The exemplary embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0018] Figure 1 A hardware structure block diagram of a mobile terminal for executing a cutting control method for two-device copper pipes provided in an embodiment of the present application is shown;

[0019] Figure 2 A schematic flow chart of a two-device copper tube cutting control method provided according to an embodiment of the present application is shown;

[0020] Figure 3A schematic diagram of a platform for implementing a cutting control method for two-device copper tubes provided according to an embodiment of the present application is shown;

[0021] Figure 4 shows various end surface side images provided according to embodiments of the present application;

[0022] Figure 5 A comparison diagram of a copper tube end face in a non-burned area and a copper tube end face in a burned area provided in an embodiment of the present application is shown;

[0023] Figure 6 Schematic diagrams of chips of various shapes provided according to embodiments of the present application are shown;

[0024] Figure 7 A schematic diagram showing a normal cutting end face and a cutting end face caused by a blunt cutting blade according to an embodiment of the present application is shown;

[0025] Figure 8 A flow chart of a specific two-device copper tube cutting control method provided according to an embodiment of the present application is shown;

[0026] Fig. 9 A structural block diagram of a two-device copper tube cutting control device provided according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0027] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0028] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only 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 ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0029] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0030] As introduced in the background technology, in the prior art, the cutting quality of the copper tubes of the two devices of the air conditioner is difficult to monitor in real time. In order to solve the problem that the cutting quality of the copper tubes of the two devices of the air conditioner is difficult to monitor in real time, the embodiments of the present application provide a cutting control method, device, computer-readable storage medium and electronic device for the copper tubes of the two devices.

[0031] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0032] The method embodiments provided in the embodiments of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Taking running on a mobile terminal as an example, Figure 1 1 is a hardware structure block diagram of a mobile terminal of a two-device copper tube cutting control method according to an embodiment of the present invention. Figure 1 As shown, the mobile terminal may include one or more ( Figure 1 Only one is shown in the figure) a processor 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data, wherein the mobile terminal may also include a transmission device 106 and an input / output device 108 for communication functions. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the mobile terminal. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations are shown.

[0033] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the cutting control method of the two-device copper tube in the embodiment of the present invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, to implement the above method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the mobile terminal via a network. Examples of the above-mentioned network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof. The transmission device 106 is used to receive or send data via a network. The above-mentioned specific examples of the network may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0034] In this embodiment, a cutting control method for two-device copper tubes running on a mobile terminal, a computer terminal or a similar computing device is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0035] Figure 2 1 is a flow chart of a cutting control method for two-device copper tubes according to an embodiment of the present application. Figure 2 As shown, the method comprises the following steps:

[0036] Step S201, acquiring images of the copper tubes of the two devices, the images of the copper tubes of the two devices including end surface images and chip images;

[0037] In the specific implementation, Figure 3 The system shown realizes the cutting control of the copper tubes of the two devices. Figure 3 Camera 1 and camera 2 in the image capture images of the copper tubes of the two devices;

[0038] Step S202, determining whether the cutting of the two-device copper tubes meets the production requirements according to the images of the two-device copper tubes, wherein the production requirements include cutting quality requirements and cutting efficiency requirements;

[0039] Among them, the cutting quality is affected by the cutting speed of the cutting knife, and the cutting efficiency requirement is not only related to the cutting speed of the cutting knife but also to the running speed of the production line;

[0040] In the specific implementation, the end face image includes the end face side image. Figure 3 The camera 1 in the figure obtains the image, and determines whether the cutting of the two-device copper tubes meets the production requirements according to the images of the two-device copper tubes, including: extracting the end face side profiles of the two-device copper tubes from the end face side images; and determining whether the cutting quality requirements are met according to the shapes of the end face side profiles of the two-device copper tubes.

[0041] Specific as Figure 4 As shown, Figure 4 The side view of the copper tube end face of an ideal cut (i.e., the side image of the end face of an ideal cut) and the side views O1, O2, and O3 of the copper tube end face under non-ideal conditions are shown; the copper tube end face of a normal cut is smooth, and the contour line of the end face is perpendicular to the side wall line, i.e., α and θ are at right angles of 90°; the end face O1 is wavy and irregularly arc-shaped, indicating that the copper tube vibrates along the tube wall direction; when the contour condition of copper tube 2 appears, the end face O2 presents a smooth arc, indicating that the copper tube is squeezed, i.e., the cutting speed is too fast and the cutting direction is not perpendicular to the copper tube; when the contour condition of copper tube 3 appears, the end face O3 presents a serrated shape, indicating that the copper tube vibrates along the tube wall direction, and the vibration is faster than that of copper tube 1.

[0042] Optionally, the following method is used to determine the wavy arc of O1: using template matching, extracting the minimum wavy curve of the end face, and then searching in O1. If several identical wavy curves are found, it can be determined that the end face of O1 is wavy or irregular. The minimum wavy curve can be extracted based on the sudden change point of the slope of the tangent line of the curve. If two sudden change points appear, the minimum wavy curve is intercepted;

[0043] Optionally, the smooth arc of O2 is determined by the following method: the derivative of the curve is calculated, and the derivative is continuous at each point. If the first-order derivative is continuous, the curve is smooth. If the second-order derivative is also continuous, the curve is smoother.

[0044] Optionally, the sawtooth of O3 is determined in the following manner: a method similar to that of O1, namely, a template matching method, is used to first extract the sawtooth with the minimum period, and then search in O3 to find more identical sawtooths, ie, determine that O3 is a sawtooth.

[0045] Of course, other existing methods may also be used to detect arcs, sawtooth and smooth arcs, and this application does not limit this.

[0046] In the specific implementation, the end face image includes the end face front image. Figure 3The camera 2 in the image is used to capture the two-device copper tubes, and whether the cutting of the two-device copper tubes meets the production requirements is determined based on the images of the two-device copper tubes, including: determining whether there is a streak area in the front image of the end face, wherein the presence of the streak area indicates that the end faces of the two-device copper tubes are burned and oxidized; when there is a streak area in the front image of the end face, it is determined that the cutting of the two-device copper tubes does not meet the cutting quality requirements.

[0047] See also Figure 5 , showing a normal end face front image and an end face front image with a streaked area (end face burn area A). Specifically, this streaked area is mostly caused by too fast cutting speed, that is, the cutting knife cuts the copper tube in an instant during the cutting process. When the cutting knife cuts too fast, the cutting blade and the end face of the copper tube will produce instantaneous friction. The high heat generated by the friction will cause a burning oxidation reaction on the end face, resulting in oxidized streaks on the end face of the copper tube. In subsequent welding, the oxidized end is at risk of cracking, resulting in refrigerant leakage.

[0048] Furthermore, the front image of the end face taken by camera 2 is binarized and enhanced, and a target detection algorithm is used to identify whether there are spots on the end face. Among them, the image enhancement algorithm can be selected from histogram equalization, contrast stretching, etc.; the target detection algorithm can be selected from YOLO, Faster R-CNN, SSD, etc.;

[0049] More specifically, the color of the streaked area is generally dark red, black or blue; except for the irregular burn shape, the burn marks are generally slender and parallel ablation lines, and are distributed along the cutting path; the area of ​​the streaked area is affected by the cutting speed of the cutting knife and the cross-sectional area of ​​the end faces of the copper tubes of the two devices;

[0050] Furthermore, the cutting efficiency requirements include cutting feed rate requirements. Determining whether the cutting of the two-device copper tubes meets the production requirements based on the images of the two-device copper tubes includes: extracting the chip contour from the chip image; and determining whether the cutting feed rate requirements are met based on the chip contour.

[0051] More specifically, determining whether the cutting feed rate requirement is met based on the chip profile includes: determining that the cutting feed rate requirement is not met when the chip profile indicates that the chip shape is strip-shaped or the chip shape is irregular; determining that the cutting feed rate requirement is met when the chip profile indicates that the chip shape is granular, and the area of ​​the granular chips is less than a preset area lower limit; and / or determining whether the cutting of the two-device copper tubes meets the production requirements based on the images of the two-device copper tubes, also includes: determining that the cutting feed rate requirement is met when the chip shape is not extracted from the chip image.

[0052] Furthermore, after extracting the chip contour from the chip image, the method also includes: determining the chip area according to the chip contour, and when the chip area is greater than a preset area upper limit, determining that the chip shape is an irregular shape; when the chip contour is an asymmetric shape, determining that the chip shape is an irregular shape.

[0053] Figure 6 The figure shows the strip-shaped chips Q1 and the irregular-shaped chips Q2; when continuous strip-shaped chips are generated during the cutting process, such as Figure 6 Q1 in the middle indicates that the cutting feed rate is too small, and the cutting feed rate can be appropriately increased; when irregular splashing chips and non-continuous strips appear, such as Figure 6 As shown in Q2; for the judgment of irregular chips, the area size of the chips can be set. When the size exceeds the set value, the chips are considered irregular, or when the chips do not belong to common symmetrical shapes, such as circles and rectangles, they are considered irregular. This means that the cutting feed rate is too high, and the vibration produces irregular chips, and the feed rate needs to be reduced; if there are no chips, or the chips are fine particles, the chip shape detected after the image binary enhancement is particles, and the feed rate setting is considered normal.

[0054] In addition, in order to control the cutting quality, after acquiring the images of the copper tubes of the two devices, the method further includes: determining the sharpness of the cutting knife according to the end surface images. Figure 7 The figure shows the shape of the normal cut end face and the end face being squeezed due to a blunt cutting blade. Figure 3 The camera 2 in the image processing is used to extract the edge contour of the end face of the copper tube. The copper tube contour can be divided into two parts, the upper and lower end face arcs s1 and s2, by applying the region segmentation. According to the Hough arc detection and circle fitting algorithm, if s1 is squeezed, its fitting circle radius will be greater than the fitting circle radius of s2. Assuming that the fitting circle radius of s1 is Rs1 and the fitting circle radius of s2 is Rs2, if Rs1>Rs2, it means that the upper part of the copper tube is squeezed and the cutting knife is too blunt. The contour extraction here can use algorithms such as Canny edge detection algorithm, Sobel operator, Laplacian operator, etc. This application does not limit the specific algorithm.

[0055] Step S203, when the production requirements are not met, adjusting the cutting blade lowering speed and / or the production line running speed until the production requirements are met.

[0056] In the specific implementation, step S203 is specifically implemented as follows: obtaining an artificial intelligence model, the input of the artificial intelligence model is the cutting knife speed and the production line running speed, and the output is the end face shape and the chip shape; when the production requirements are not met, the cutting knife speed and / or the production line running speed are adjusted multiple times, and the adjusted cutting knife speed and / or the adjusted production line running speed are input into the artificial intelligence model to obtain the corresponding output, and multiple iterations are performed until the production requirements are met.

[0057] The cutting control method of the two-vessel copper tube of the present application obtains images of the two-vessel copper tube, and the images of the two-vessel copper tube include end face images and chip images; determines whether the cutting of the two-vessel copper tube meets the production requirements based on the images of the two-vessel copper tube, wherein the production requirements include cutting quality requirements and cutting efficiency requirements; if the production requirements are not met, adjust the cutting speed of the cutting knife and / or the production line operation speed until the production requirements are met. The image processing technology is applied to monitor the cutting quality of the two-vessel copper tube in real time, so as to achieve strict control of the cutting quality of the two-vessel copper tube. The cutting quality is ensured while taking the cutting efficiency into consideration.

[0058] In order to enable those skilled in the art to more clearly understand the technical solution of the present application, the implementation process of the cutting control method for two-device copper tubes of the present application will be described in detail below in combination with specific embodiments.

[0059] This embodiment relates to a specific two-device copper tube cutting control method, which is applied Figure 3 The structure of the copper tube cutting machine is based on the contour extraction technology of image processing and the Hough line and arc detection to obtain the deformation of the copper tube end face, the flatness of the end face and the side wall lines during copper tube cutting. Combined with the chip morphology during the cutting process, the cutting knife loss, cutting knife speed and production feed rate monitoring during the copper tube cutting process are realized to improve the cutting performance of the copper tube. Figure 8 The specific implementation process is as follows:

[0060] S1: Take the end face image of the copper tube cutting;

[0061] During the cutting process of the two-device copper tube, it is necessary to ensure that the end surface of the copper tube is flat and not deformed after cutting. The two-device copper tube is relatively thin. When cutting after production, if the sharpness of the cutting knife, or the cutting speed of the cutting knife (that is, the cutting speed of the cutting knife, corresponding to the cutting quality test), and the production feed rate (the feed rate refers to the speed of the production line feeding and the frequency of the cutting knife, which is different from the previous cutting speed, corresponding to the cutting efficiency test) are not appropriate, the cutting quality of the copper tube will be unqualified, or the cutting efficiency will be reduced.

[0062] The cutting knife is a consumable, and the specifications of the copper tubes cut are also varied. Each time when cutting copper tubes of different specifications, it is necessary to manually set the cutting parameters and production line speed. However, after the machine has been cutting for a long time, the initial fixed setting of the cutting parameters and production line speed will inevitably be mismatched, or any cutting state changes in the middle cannot be processed in time. In order to achieve real-time copper tube cutting detection and improve cutting performance and safety, the following is adopted: Figure 3 The copper tube cutting production schematic diagram shown, the left side view of the copper tube taken by camera 1 and the front view of the copper tube taken by camera 2.

[0063] S11: photograph the main view of the side panel;

[0064] like Figure 3 As shown in , the camera 2 is facing the end face of the copper tube to take the front face image of the end face of the copper tube. Figure 7 The normal cut end face shape is shown in .

[0065] S12: Take a side view of the copper tube;

[0066] like Figure 3 As shown in the figure, the camera 1 takes a left side view of the copper tube. The left side view of the copper tube in the present invention may include the tube wall lines of the copper tube and the side lines of the cut end surface O. The camera is facing the side of the cut end surface O. The left test picture taken is as follows Figure 4 The "Copper Tube" example in .

[0067] S2: Real-time monitoring of copper tube cutting;

[0068] For example, in S1, when the cutting knife is cutting the copper tube, the blade will be worn, that is, the sharpness of the cutting knife, the cutting speed of the cutting knife, and the feed rate of the copper tube during cutting will all lead to different cutting states.

[0069] S21: Cutting knife blunt detection;

[0070] When the cutting knife cuts for too long and wears out, if the inherent cutting parameters are used at this time, the cutting knife cannot cut the copper tube normally, and its contact time with the copper tube will be prolonged. In addition, because the cutting knife is not sharp enough, the copper tube cannot be cut in time, resulting in extrusion deformation, that is, the end face of the copper tube will be deformed due to extrusion, and because the force is greater at the moment of cutting, the deformation of the end face section of the copper tube that just contacts the cutting knife will be more obvious. Specifically: Application Figure 3The camera 2 in the figure is used to capture the edge contour of the end face of the copper tube by using the contour extraction of image processing. According to the region segmentation (the logic of segmentation here is relatively common and can be regarded as the prior art), the contour of the copper tube can be segmented into the upper and lower end face arcs s1 and s2. According to the Hough arc detection and circle fitting algorithm, if s1 is squeezed, its fitting circle radius will be larger than the fitting circle radius of s2. Assuming that the fitting circle radius of s1 is Rs1 and the fitting circle radius of s2 is Rs2, if Rs1>Rs2, it means that the upper part of the copper tube is squeezed and the cutting knife is too blunt.

[0071] S22: cutting speed monitoring;

[0072] S221: Vibration of copper tube caused by excessive cutting speed;

[0073] The cutting speed is the speed of the cutting knife (the speed of the cutting knife moving, the rotation speed of the non-cutting blade). When the cutting speed is too fast, it will cause an instantaneous impact on the copper tube, causing the copper tube to vibrate during cutting. When the copper tube vibrates, the cut end will be uneven and irregular chips may splash. Figure 3 In the production example, camera 1 captures the left side view of the copper tube and uses image processing to extract the contour, such as Figure 4 As shown, the end face of the normally cut copper tube is smooth, and the end face contour line is perpendicular to the side wall line, that is, α and θ are at a right angle of 90°. According to the contour extraction of image processing, when the contour of copper tube 1 appears, the end face O1 is wavy and irregular arc-shaped, indicating that the copper tube vibrates along the tube wall; when the contour of copper tube 2 appears, the end face O2 presents a smooth arc, indicating that the copper tube is squeezed, that is, the speed of cutting is too fast and the direction of cutting is not perpendicular to the copper tube; when the contour of copper tube 3 appears, the end face O3 presents a serrated shape, indicating that the copper tube vibrates along the tube wall, and the vibration is faster than that of copper tube 1. It should be noted that the detection of arcs, serrations and arcs in the examples can use the image edge detection operator of opencv.

[0074] S222: End face burns caused by excessive cutting speed;

[0075] During the copper tube cutting process, the metal cutting knife cuts the copper tube in an instant. When the cutting speed of the cutting knife is too fast, the cutting blade and the end face of the copper tube will produce instant friction. The high heat generated by the friction will cause a burning oxidation reaction on the end face, resulting in oxidation spots on the end face of the copper tube. In the subsequent welding, the oxidized end has the risk of cracking, resulting in refrigerant leakage. Figure 3 The image captured by camera 2 is binarized and enhanced, and the target detection algorithm is used to identify whether there are spots on the end surface. Figure 5As shown, the normal copper tube end surface O is smooth and clean, without any streaked area. The burnt and oxidized end surface is such as the burnt area A. When the image target such as area A is detected after cutting, it is determined that the end surface is burned.

[0076] S23: cutting feed rate monitoring;

[0077] In the copper tube production process, the feed rate indicates the speed of the copper tube material on the production line, and whether it matches the production rhythm of cutting. If you want to ensure a large feed rate, you can speed up the production line, or increase the cutting speed, or both. In theory, the larger the feed rate, the higher the production efficiency, but from S22, it can be seen that purely increasing the speed will lead to unstable copper tube cutting and more defective products produced by cutting, that is, it is necessary to adjust the appropriate feed rate.

[0078] In the process of cutting copper tubes, theoretically, there will be cutting chips, but in actual production, it is undesirable to have chips, or the chips are small. The uniformity of the chips indicates the stability of the cutting, and the shape and size of the chips reflect the cutting speed, that is, whether the feed rate is appropriate.

[0079] application Figure 3 Camera 2 collects the image and uses the target recognition in image processing to determine the shape of the chips. Figure 6 As shown in Figure 2, when continuous strip chips are produced during the cutting process, such as Figure 6 Q1 in the middle indicates that the feed rate is too small, and the feed rate can be appropriately increased; when irregular splash chips and non-continuous strips appear, such as Figure 6 As shown in Q2, for the judgment of irregular chips, the area of ​​the chips can be set. When the size exceeds the set value, the chips are considered irregular, or when the chips are not common symmetrical shapes, such as circles and rectangles, they are considered irregular. This means that the feed rate is too high, and the vibration produces irregular chips, and the feed rate needs to be reduced; if there are no chips, or the chips are fine particles, the chip shape detected after the image binary enhancement is particles, and the feed rate setting is considered normal;

[0080] S3: Copper tube cutting production control;

[0081] According to the monitoring and judgment basis in S21~S23, when S21 does not meet the requirements, the cutting knife needs to be replaced first. When the copper tube end face is abnormal in S22, the cutting speed can be reduced first to ensure smooth cutting. At the same time, after the S22 control is completed, observe the detection status in S23. If chips are generated, it is necessary to synchronously adjust the production line speed and feedback monitoring S22 until both S22 and S23 meet the requirements.

[0082] The adjustment strategy of S22 and S23 control can adopt common artificial intelligence control algorithms (for example, common ant colony algorithms, PSO particle swarm algorithms). The artificial intelligence control algorithm can use a variety of existing algorithms. This application does not limit it. The key lies in how to formulate output to control input. In the present invention, the cutting speed and production line running speed are used as inputs, and the end face shape and chip shape are used as outputs. According to the process requirements, the optimal cutting speed and production line speed are found to complete the control of copper tube production cutting.

[0083] Generally speaking, the optimal standard is relative. For example, under the condition of stable cutting and ensuring a certain production speed, the current cutting speed and production speed can be set as the optimal. As for whether it can be further optimized, according to the logic of the intelligent control algorithm, it will make certain numerical changes in the current cutting speed and production speed, and then determine whether the current cutting speed and production line speed are optimal based on the flatness of the cut end surface and the production quantity. The optimal here should actually be determined according to the actual production standards, but it is based on the logic.

[0084] This application scheme, based on contour detection and target recognition using image processing technology, detects the degree of end face deformation of the copper tube, the end face cutting shape and the state of the chips, determines the sharpness of the cutter during the cutting process, the cutting speed of the cutter and the feed rate of the cutting production, realizes the state output of the cutter, and combines the artificial intelligence optimization algorithm to balance the production line production speed and the cutting speed, thereby ensuring the cutting quality of the copper tube, achieving control of the cutting quality, and improving the cutting performance of the two-device copper tube.

[0085] The present invention performs cutting control of two-device copper tubes based on image processing, can monitor the cutting performance of the copper tubes in real time, optimize the production line production speed and the cutting speed, get rid of the limitations of manual experience parameter setting, improve the copper tube cutting efficiency in production, and save production costs.

[0086] Based on image processing technology, contour detection, target recognition and intelligent optimization algorithm, the production line speed and cutting speed are balanced to ensure that the cutting of copper tubes meets the requirements, improve the cutting performance of copper tubes of both devices, and avoid the generation of defective products. It also gets rid of the limitations of fixed settings of cutting parameters based on manual experience, improves production efficiency, and saves manpower and material costs.

[0087] Alternatively, in the embodiment of the present invention, S22 and S23 can be swapped and are not limited to executing S22 first (because the cutting speed and production line travel speed in S22 and S23 will affect the copper tube cutting, so the order of the two has little effect).

[0088] The embodiment of the present application also provides a cutting control device for two-device copper tubes. It should be noted that the cutting control device for two-device copper tubes in the embodiment of the present application can be used to execute the cutting control method for two-device copper tubes provided in the embodiment of the present application. The device is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware for a predetermined function. Although the device described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0089] The following is an introduction to the cutting control device for the two-device copper tube provided in the embodiment of the present application.

[0090] Fig. 9 Schematic diagram of a cutting control device for two-device copper tubes according to an embodiment of the present application. Fig. 9 As shown, the device comprises:

[0091] An acquisition unit 91 is used to acquire images of the copper tubes of the two vessels, wherein the images of the copper tubes of the two vessels include end surface images and chip images;

[0092] A first determination unit 92 is used to determine whether the cutting of the two-device copper tubes meets the production requirements according to the images of the two-device copper tubes, wherein the production requirements include cutting quality requirements and cutting efficiency requirements;

[0093] The adjustment unit 93 is used to adjust the cutting knife lowering speed and / or the production line running speed until the production requirements are met when the production requirements are not met.

[0094] The cutting control device for the two-vessel copper tube of the present application acquires images of the two-vessel copper tube through an acquisition unit, and the images of the two-vessel copper tube include end face images and chip images; the first determination unit determines whether the cutting of the two-vessel copper tube meets the production requirements based on the images of the two-vessel copper tube, wherein the production requirements include cutting quality requirements and cutting efficiency requirements; the adjustment unit adjusts the cutting speed of the cutting knife and / or the running speed of the production line until the production requirements are met if the production requirements are not met. The image processing technology is applied to monitor the cutting quality of the two-vessel copper tube in real time, so as to achieve strict control of the cutting quality of the two-vessel copper tube. The cutting quality is ensured while taking the cutting efficiency into consideration.

[0095] As an optional solution, the end face image includes an end face side image, and the first determination unit includes a first extraction module and a first determination module. The first extraction module is used to extract the end face side contours of the two-device copper tubes from the end face side image; the first determination module is used to determine whether the cutting quality requirements are met based on the shapes of the end face side contours of the two-device copper tubes.

[0096] As an optional scheme, the end face image includes the front side of the end face, and the first determination unit includes a second determination module and a third determination module. The second determination module is used to determine whether there is a streak area in the front side image of the end face, wherein the existence of the streak area indicates that the end faces of the copper tubes of the two devices are burned and oxidized; the third determination module is used to determine that the cutting of the copper tubes of the two devices does not meet the cutting quality requirements when there is a streak area in the front side image of the end face.

[0097] As an optional solution, the cutting efficiency requirement includes a cutting feed rate requirement, and the first determination unit includes a second extraction module and a third determination module. The second extraction module is used to extract the chip contour from the chip image; the third determination module is used to determine whether the cutting feed rate requirement is met based on the chip contour.

[0098] As an optional solution, the third determination module implements: determining that the cutting feed rate requirement is not met when the chip profile indicates that the chip shape is strip-shaped or the chip shape is irregular; determining that the cutting feed rate requirement is met when the chip profile indicates that the chip shape is granular, and the area of ​​the granular chip is less than a preset area lower limit value;

[0099] The first determination unit further includes a fourth determination module, and the fourth determination module is used to determine that the cutting feed rate requirement is met when the chip shape is not extracted from the chip image.

[0100] As an optional scheme, the device also includes a second determination unit and a third determination unit. The second determination unit is used to determine the chip area according to the chip contour after extracting the chip contour from the chip image, and determine that the chip shape is an irregular shape when the chip area is greater than a preset area upper limit value; the third determination unit is used to determine that the chip shape is an irregular shape when the chip contour is an asymmetric shape.

[0101] As an optional solution, the device further includes a fourth determination unit, which is used to determine the sharpness of the cutting knife according to the end surface images after acquiring the images of the two copper tubes.

[0102] As an optional solution, the adjustment unit includes an acquisition module and an adjustment module. The acquisition module is used to acquire an artificial intelligence model. The input of the artificial intelligence model is the cutting knife speed and the production line running speed, and the output is the end face shape and the chip shape. The adjustment module is used to adjust the cutting knife speed and / or the production line running speed multiple times when the production requirements are not met, and input the adjusted cutting knife speed and / or the adjusted production line running speed into the artificial intelligence model to obtain the corresponding output, and perform multiple iterations until the production requirements are met.

[0103] The cutting control device for copper tubes of two devices includes a processor and a memory. The acquisition unit, the first determination unit and the adjustment unit are stored in the memory as program units, and the processor executes the program units stored in the memory to realize the corresponding functions. The modules are all located in the same processor; or, the modules are located in different processors in any combination.

[0104] The processor contains a kernel, which calls the corresponding program unit from the memory. One or more kernels can be set, and the cutting quality and cutting efficiency can be taken into account by adjusting the kernel parameters.

[0105] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0106] An embodiment of the present invention provides an electronic device, comprising: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors, and the one or more programs include a method for executing any one of the cutting control methods of two-device copper tubes.

[0107] An embodiment of the present invention provides a computer-readable storage medium, which includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute a cutting control method for two-device copper tubes.

[0108] Specifically, the cutting control method of the two-device copper tube includes:

[0109] Step S201, acquiring images of the copper tubes of the two devices, the images of the copper tubes of the two devices including end surface images and chip images;

[0110] Step S202, determining whether the cutting of the two-device copper tubes meets the production requirements according to the images of the two-device copper tubes, wherein the production requirements include cutting quality requirements and cutting efficiency requirements;

[0111] Step S203, when the production requirements are not met, adjusting the cutting blade lowering speed and / or the production line running speed until the production requirements are met.

[0112] Optionally, the end face image includes an end face side image, and determining whether the cutting of the two device copper tubes meets production requirements based on the images of the two device copper tubes includes: extracting the end face side contours of the two device copper tubes from the end face side image; and determining whether the cutting quality requirements are met based on the shapes of the end face side contours of the two device copper tubes.

[0113] Optionally, the end face image includes an end face front image, and determining whether the cutting of the two-device copper tubes meets the production requirements based on the images of the two-device copper tubes includes: determining whether there is a streak area in the end face front image, wherein the presence of the streak area indicates that the end faces of the two-device copper tubes are burned and oxidized; when there is a streak area in the end face front image, determining that the cutting of the two-device copper tubes does not meet the cutting quality requirements.

[0114] Optionally, the cutting efficiency requirement includes a cutting feed rate requirement, and determining whether the cutting of the two-device copper tubes meets the production requirements based on the images of the two-device copper tubes includes: extracting a chip contour from the chip image; and determining whether the cutting feed rate requirement is met based on the chip contour.

[0115] Optionally, determining whether the cutting feed rate requirement is met based on the chip profile includes: determining that the cutting feed rate requirement is not met when the chip profile indicates that the chip shape is strip-shaped or the chip shape is irregular; determining that the cutting feed rate requirement is met when the chip profile indicates that the chip shape is granular, and the area of ​​the granular chips is less than a preset area lower limit; and / or determining whether the cutting of the two-device copper tubes meets the production requirements based on the images of the two-device copper tubes, also includes: determining that the cutting feed rate requirement is met when the chip shape is not extracted from the chip image.

[0116] Optionally, after extracting the chip contour from the chip image, the method also includes: determining the chip area based on the chip contour, and when the chip area is greater than a preset area upper limit, determining that the chip shape is an irregular shape; when the chip contour is an asymmetric shape, determining that the chip shape is an irregular shape.

[0117] Optionally, after acquiring the images of the copper tubes of the two devices, the method further comprises: determining the sharpness of the cutting blade according to the end surface images.

[0118] Optionally, when production requirements are not met, the cutting knife speed and / or the production line running speed are adjusted until the production requirements are met, including: obtaining an artificial intelligence model, the input of the artificial intelligence model is the cutting knife speed and the production line running speed, and the output is the end face shape and the chip shape; when production requirements are not met, the cutting knife speed and / or the production line running speed are adjusted multiple times, the adjusted cutting knife speed and / or the adjusted production line running speed are input into the artificial intelligence model to obtain the corresponding output, and multiple iterations are performed until the production requirements are met.

[0119] An embodiment of the present invention provides a processor, which is used to run a program, wherein the cutting control method of two-device copper pipes is executed when the program is run.

[0120] Specifically, the cutting control method of the two-device copper tube includes:

[0121] Step S201, acquiring images of the copper tubes of the two devices, the images of the copper tubes of the two devices including end surface images and chip images;

[0122] Step S202, determining whether the cutting of the two-device copper tubes meets the production requirements according to the images of the two-device copper tubes, wherein the production requirements include cutting quality requirements and cutting efficiency requirements;

[0123] Step S203, when the production requirements are not met, adjusting the cutting blade lowering speed and / or the production line running speed until the production requirements are met.

[0124] Optionally, the end face image includes an end face side image, and determining whether the cutting of the two device copper tubes meets production requirements based on the images of the two device copper tubes includes: extracting the end face side contours of the two device copper tubes from the end face side image; and determining whether the cutting quality requirements are met based on the shapes of the end face side contours of the two device copper tubes.

[0125] Optionally, the end face image includes an end face front image, and determining whether the cutting of the two-device copper tubes meets the production requirements based on the images of the two-device copper tubes includes: determining whether there is a streak area in the end face front image, wherein the presence of the streak area indicates that the end faces of the two-device copper tubes are burned and oxidized; when there is a streak area in the end face front image, determining that the cutting of the two-device copper tubes does not meet the cutting quality requirements.

[0126] Optionally, the cutting efficiency requirement includes a cutting feed rate requirement, and determining whether the cutting of the two-device copper tubes meets the production requirements based on the images of the two-device copper tubes includes: extracting a chip contour from the chip image; and determining whether the cutting feed rate requirement is met based on the chip contour.

[0127] Optionally, determining whether the cutting feed rate requirement is met based on the chip profile includes: determining that the cutting feed rate requirement is not met when the chip profile indicates that the chip shape is strip-shaped or the chip shape is irregular; determining that the cutting feed rate requirement is met when the chip profile indicates that the chip shape is granular, and the area of ​​the granular chips is less than a preset area lower limit; and / or determining whether the cutting of the two-device copper tubes meets the production requirements based on the images of the two-device copper tubes, also includes: determining that the cutting feed rate requirement is met when the chip shape is not extracted from the chip image.

[0128] Optionally, after extracting the chip contour from the chip image, the method also includes: determining the chip area based on the chip contour, and when the chip area is greater than a preset area upper limit, determining that the chip shape is an irregular shape; when the chip contour is an asymmetric shape, determining that the chip shape is an irregular shape.

[0129] Optionally, after acquiring the images of the copper tubes of the two devices, the method further comprises: determining the sharpness of the cutting blade according to the end surface images.

[0130] Optionally, when production requirements are not met, the cutting knife speed and / or the production line running speed are adjusted until the production requirements are met, including: obtaining an artificial intelligence model, the input of the artificial intelligence model is the cutting knife speed and the production line running speed, and the output is the end face shape and the chip shape; when production requirements are not met, the cutting knife speed and / or the production line running speed are adjusted multiple times, the adjusted cutting knife speed and / or the adjusted production line running speed are input into the artificial intelligence model to obtain the corresponding output, and multiple iterations are performed until the production requirements are met.

[0131] An embodiment of the present invention provides a device, the device including a processor, a memory, and a program stored in the memory and executable on the processor, and when the processor executes the program, at least the following steps are implemented:

[0132] Step S201, acquiring images of the copper tubes of the two devices, the images of the copper tubes of the two devices including end surface images and chip images;

[0133] Step S202, determining whether the cutting of the two-device copper tubes meets the production requirements according to the images of the two-device copper tubes, wherein the production requirements include cutting quality requirements and cutting efficiency requirements;

[0134] Step S203, when the production requirements are not met, adjusting the cutting blade lowering speed and / or the production line running speed until the production requirements are met.

[0135] Optionally, the end face image includes an end face side image, and determining whether the cutting of the two device copper tubes meets production requirements based on the images of the two device copper tubes includes: extracting the end face side contours of the two device copper tubes from the end face side image; and determining whether the cutting quality requirements are met based on the shapes of the end face side contours of the two device copper tubes.

[0136] Optionally, the end face image includes an end face front image, and determining whether the cutting of the two-device copper tubes meets the production requirements based on the images of the two-device copper tubes includes: determining whether there is a streak area in the end face front image, wherein the presence of the streak area indicates that the end faces of the two-device copper tubes are burned and oxidized; when there is a streak area in the end face front image, determining that the cutting of the two-device copper tubes does not meet the cutting quality requirements.

[0137] Optionally, the cutting efficiency requirement includes a cutting feed rate requirement, and determining whether the cutting of the two-device copper tubes meets the production requirements based on the images of the two-device copper tubes includes: extracting a chip contour from the chip image; and determining whether the cutting feed rate requirement is met based on the chip contour.

[0138] Optionally, determining whether the cutting feed rate requirement is met based on the chip profile includes: determining that the cutting feed rate requirement is not met when the chip profile indicates that the chip shape is strip-shaped or the chip shape is irregular; determining that the cutting feed rate requirement is met when the chip profile indicates that the chip shape is granular, and the area of ​​the granular chips is less than a preset area lower limit; and / or determining whether the cutting of the two-device copper tubes meets the production requirements based on the images of the two-device copper tubes, also includes: determining that the cutting feed rate requirement is met when the chip shape is not extracted from the chip image.

[0139] Optionally, after extracting the chip contour from the chip image, the method also includes: determining the chip area based on the chip contour, and when the chip area is greater than a preset area upper limit, determining that the chip shape is an irregular shape; when the chip contour is an asymmetric shape, determining that the chip shape is an irregular shape.

[0140] Optionally, after acquiring the images of the copper tubes of the two devices, the method further comprises: determining the sharpness of the cutting blade according to the end surface images.

[0141] Optionally, when production requirements are not met, the cutting knife speed and / or the production line running speed are adjusted until the production requirements are met, including: obtaining an artificial intelligence model, the input of the artificial intelligence model is the cutting knife speed and the production line running speed, and the output is the end face shape and the chip shape; when production requirements are not met, the cutting knife speed and / or the production line running speed are adjusted multiple times, the adjusted cutting knife speed and / or the adjusted production line running speed are input into the artificial intelligence model to obtain the corresponding output, and multiple iterations are performed until the production requirements are met.

[0142] The devices in this article can be servers, PCs, PADs, mobile phones, etc.

[0143] The present application also provides a computer program product, which, when executed on a data processing device, is suitable for executing a program for initializing at least the following method steps:

[0144] Step S201, acquiring images of the copper tubes of the two devices, the images of the copper tubes of the two devices including end surface images and chip images;

[0145] Step S202, determining whether the cutting of the two-device copper tubes meets the production requirements according to the images of the two-device copper tubes, wherein the production requirements include cutting quality requirements and cutting efficiency requirements;

[0146] Step S203, when the production requirements are not met, adjusting the cutting blade lowering speed and / or the production line running speed until the production requirements are met.

[0147] Optionally, the end face image includes an end face side image, and determining whether the cutting of the two device copper tubes meets production requirements based on the images of the two device copper tubes includes: extracting the end face side contours of the two device copper tubes from the end face side image; and determining whether the cutting quality requirements are met based on the shapes of the end face side contours of the two device copper tubes.

[0148] Optionally, the end face image includes an end face front image, and determining whether the cutting of the two-device copper tubes meets the production requirements based on the images of the two-device copper tubes includes: determining whether there is a streak area in the end face front image, wherein the presence of the streak area indicates that the end faces of the two-device copper tubes are burned and oxidized; when there is a streak area in the end face front image, determining that the cutting of the two-device copper tubes does not meet the cutting quality requirements.

[0149] Optionally, the cutting efficiency requirement includes a cutting feed rate requirement, and determining whether the cutting of the two-device copper tubes meets the production requirements based on the images of the two-device copper tubes includes: extracting a chip contour from the chip image; and determining whether the cutting feed rate requirement is met based on the chip contour.

[0150] Optionally, determining whether the cutting feed rate requirement is met based on the chip profile includes: determining that the cutting feed rate requirement is not met when the chip profile indicates that the chip shape is strip-shaped or the chip shape is irregular; determining that the cutting feed rate requirement is met when the chip profile indicates that the chip shape is granular, and the area of ​​the granular chips is less than a preset area lower limit; and / or determining whether the cutting of the two-device copper tubes meets the production requirements based on the images of the two-device copper tubes, also includes: determining that the cutting feed rate requirement is met when the chip shape is not extracted from the chip image.

[0151] Optionally, after extracting the chip contour from the chip image, the method also includes: determining the chip area based on the chip contour, and when the chip area is greater than a preset area upper limit, determining that the chip shape is an irregular shape; when the chip contour is an asymmetric shape, determining that the chip shape is an irregular shape.

[0152] Optionally, after acquiring the images of the copper tubes of the two devices, the method further comprises: determining the sharpness of the cutting blade according to the end surface images.

[0153] Optionally, when production requirements are not met, the cutting knife speed and / or the production line running speed are adjusted until the production requirements are met, including: obtaining an artificial intelligence model, the input of the artificial intelligence model is the cutting knife speed and the production line running speed, and the output is the end face shape and the chip shape; when production requirements are not met, the cutting knife speed and / or the production line running speed are adjusted multiple times, the adjusted cutting knife speed and / or the adjusted production line running speed are input into the artificial intelligence model to obtain the corresponding output, and multiple iterations are performed until the production requirements are met.

[0154] Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order than here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0155] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0156] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0157] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0158] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0159] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0160] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0161] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0162] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0163] The above are only preferred embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A cutting control method for a two-device copper tube, characterized in that: include: Acquire images of the copper tubes of the two devices, wherein the images of the copper tubes of the two devices include end surface images and chip images; Determining whether the cutting of the two-device copper tubes meets production requirements according to the images of the two-device copper tubes, wherein the production requirements include cutting quality requirements and cutting efficiency requirements; In the case that the production requirement is not met, the cutting knife lowering speed and / or the production line running speed are adjusted until the production requirement is met.

2. The method according to claim 1, characterized in that The end face image includes an end face side image, and determining whether the cutting of the two-device copper tubes meets the production requirements according to the images of the two-device copper tubes includes: Extracting the side profiles of the end faces of the two-device copper tubes from the side face images; Whether the cutting quality requirement is met is determined based on the shapes of the side profiles of the end faces of the two copper tubes.

3. The method according to claim 1, characterized in that The end face image includes an end face front image, and determining whether the cutting of the two-device copper tubes meets the production requirements according to the images of the two-device copper tubes includes: Determine whether there is a streak region in the front image of the end face, wherein the presence of the streak region indicates that the end faces of the copper tubes of the two devices are burned and oxidized; When the streak area exists in the end face front image, it is determined that the cutting of the two-device copper tube does not meet the cutting quality requirement.

4. The method according to claim 1, characterized in that: The cutting efficiency requirement includes a cutting feed rate requirement, and determining whether the cutting of the two-device copper tubes meets the production requirements according to the images of the two-device copper tubes includes: extracting a chip contour from the chip image; It is determined whether the cutting feed rate requirement is met according to the chip profile.

5. The method according to claim 4, characterized in that Determining whether the cutting feed rate requirement is met according to the chip profile includes: determining that the cutting feed rate requirement is not met when the chip profile indicates that the chip shape is strip-shaped or the chip shape is irregular; determining that the cutting feed rate requirement is met when the chip profile indicates that the chip shape is granular, and the area of ​​the granular chip is less than a preset area lower limit value; and / or, Determining whether the cutting of the two-device copper tubes meets the production requirements according to the images of the two-device copper tubes, further comprising: In a case where the chip shape is not extracted from the chip image, it is determined that the cutting feed rate requirement is satisfied.

6. The method according to claim 4, characterized in that After extracting the chip contour from the chip image, the method further includes: Determine a chip area according to the chip profile, and when the chip area is greater than a preset upper limit of the area, determine that the chip shape is an irregular shape; In the case where the chip profile is an asymmetric shape, the chip shape is determined to be an irregular shape.

7. The method according to any one of claims 1 to 6, characterized in that After acquiring the images of the copper tubes of the two devices, the method further includes: The sharpness of the cutting blade is determined based on the end surface image.

8. The method according to any one of claims 1 to 6, characterized in that In the case where the production requirements are not met, adjusting the cutting knife lowering speed and / or the production line running speed until the production requirements are met, including: Obtaining an artificial intelligence model, wherein the input of the artificial intelligence model is the cutting speed of the cutting knife and the running speed of the production line, and the output is the end face shape and the chip shape; When the production requirements are not met, the cutting knife speed and / or the production line running speed are adjusted multiple times, and the adjusted cutting knife speed and / or the adjusted production line running speed are input into the artificial intelligence model to obtain corresponding outputs, and multiple iterations are performed until the production requirements are met.

9. A cutting control device for a two-device copper tube, characterized in that: include: An acquisition unit, used for acquiring images of the copper tubes of the two devices, wherein the images of the copper tubes of the two devices include end surface images and chip images; A first determination unit is used to determine whether the cutting of the two-device copper tubes meets the production requirements according to the images of the two-device copper tubes, wherein the production requirements include cutting quality requirements and cutting efficiency requirements; The adjustment unit is used to adjust the cutting knife lowering speed and / or the production line running speed until the production requirements are met when the production requirements are not met.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the cutting control method for the two-device copper tube according to any one of claims 1 to 8.

11. An electronic device, characterized in that: include: One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors, and the one or more programs include a method for executing the cutting control method of the two-device copper tube according to any one of claims 1 to 8.

Images