Intelligent cutting equipment for high-strength and high-toughness composite material

Abstract

The invention provides intelligent cutting equipment for high-strength and high-toughness composite materials, and relates to the technical field of composite material cutting, the intelligent cutting equipment comprises a bottom frame, a placing plate is arranged on the bottom frame, a supporting frame is arranged on one side of the bottom frame, a top frame is arranged at one end of the supporting frame, and a translation motor is arranged on the top frame; a translation screw rod is arranged at one end of the translation motor, a translation block is arranged on the outer surface of the translation screw rod, a transverse moving frame is arranged on the translation block, a lifting moving frame is arranged on the transverse moving frame, a lifting moving block is arranged on the lifting moving frame, and a T plate is arranged on the lifting moving block; a vibration motor is arranged on the T-shaped plate, and a cutter handle is arranged at the end, away from the vibration motor, of the T-shaped plate. According to the invention, a servo motor and a linear module are controlled through a numerical control programming program to realize interpolation motion of curves such as a straight line and an arc line, and an ultrasonic cutter is controlled to complete motion of four axes of x-y-z-z theta, so that cutting of a composite material plate is completed.

Description

Technical Field

[0001] The present invention relates to the technical field of composite material cutting, and in particular to intelligent cutting equipment for high-strength and high-toughness composite materials. Background Art

[0002] With the development of science and technology, more and more new materials are being developed and applied. Among them, high-performance composite materials such as carbon fiber and aramid fiber, as well as glass fiber are widely used in the fields of automobiles, aerospace and military. These materials have higher modulus and strength than traditional metals, and are also resistant to high temperature and corrosion. Although these materials have outstanding advantages, they also have the disadvantage of being difficult to process. For example, Kevlar fiber and domestic aramid III have super toughness and strength. If the plates made of them are cut with traditional milling cutters and saw blades, there will be fiber entanglement with the knife, and there will be a lot of burrs on the cut edges. If you want to process them into a certain shape, the processing quality is poor and the production cycle is long. Therefore, we provide a high-strength and high-toughness composite material intelligent cutting equipment. Summary of the invention

[0003] The purpose of the present invention is to solve the shortcomings existing in the prior art.

[0004] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: comprising: a base frame, a placing plate is arranged on the base frame, a supporting frame is arranged on one side of the base frame, a top frame is arranged on one end of the supporting frame, a translation motor is arranged on the top frame, a translation screw is arranged on one end of the translation motor, a translation block is arranged on the outer surface of the translation screw, a lateral movement frame is arranged on the translation block, a lifting movement frame is arranged on the lateral movement frame, a lifting movement frame is arranged on the lifting movement frame, a lifting movement block is arranged on the lifting movement block, a T-plate is arranged on the T-plate, a vibration motor is arranged on the T-plate, a tool handle is arranged on the end of the T-plate away from the vibration motor, a tool head is arranged on one end of the tool handle, a connecting line is arranged on one side of the tool handle, a vibration box is arranged on one end of the connecting line, a controller is arranged on the side of the T-plate away from the vibration box, a computer is arranged on the side of the controller away from the base frame, a direction correction base is arranged on the supporting frame, and a visual camera is arranged on the direction correction base.

[0005] As a preferred embodiment, the placement plate is fixedly connected to the base frame, one end of the support frame is fixedly connected to the base frame, one end of the support frame away from the base frame is fixedly connected to the top frame, the bottom side of the translation screw is fixedly connected to the top frame, one end of the translation motor is docked on the translation screw, and the translation block is limited on the translation screw for sliding adjustment.

[0006] As a preferred embodiment, the two ends of the transverse moving frame are respectively docked on two translation blocks, one side of the lifting moving frame is docked on the transverse moving frame, the lifting moving block is limited on the lifting moving frame for lifting and adjusting, one side of the T-plate is fixedly connected to the lifting moving block, one end of the vibration motor is docked on the T-plate, one end of the tool handle is docked on the side of the T-plate away from the vibration motor, and one end of the tool head is docked on the end of the tool handle away from the T-plate.

[0007] As a preferred embodiment, the two ends of the connecting line are respectively connected to the tool handle and the oscillator box, the controller is placed on one side of the T-board, the controller is placed on the side of the base frame away from the oscillator box, the computer is placed on the side of the controller away from the base frame, one side of the direction correction base is fixedly connected to the support frame, and the visual camera is limited on the direction correction base for adjustment.

[0008] As a preferred implementation, the stereo matching includes the following steps:

[0009] S1, matching cost calculation;

[0010] S2, matching cost aggregation;

[0011] S3, disparity calculation;

[0012] S4. Parallax optimization.

[0013] As a preferred implementation, the control method includes:

[0014] A1, left and right view images;

[0015] A2. Feature extraction of deep convolutional neural network based on attention fusion;

[0016] A3. Calculate feature correlation to obtain disparity value;

[0017] A4. Convert the disparity map into a depth map to calculate the coordinates of the three-dimensional points;

[0018] A5. Feature 3D point cloud.

[0019] As a preferred embodiment, the system includes a computer for comprehensively processing data and receiving information, a controller for processing and analyzing control signals sent by the computer, a driver for performing corresponding operations according to the data signals sent by the controller, a servo motor and a linear module for starting related motors and linear modules according to driver commands, a tool handle and a tool head for controlling the motor and the linear module, receiving a vibration box command at the same time and applying the final processing structure to the tool handle and the tool head on the composite material board, an acceleration sensor for monitoring the speed efficiency of the tool handle and the tool head during operation, a signal processing for transmitting data monitored by the accelerator sensor to a computer, a sample cutting and morphology for simulating the cutting state and sample cutting morphology test of the composite material board, an image intelligent recognition algorithm for performing computer calculation test of the composite material board cutting process through an algorithm through a visual camera, and a computer for feeding back the algorithm results to the staff and cutting the composite material board through operation to complete the operation.

[0020] Compared with the prior art, the advantages and positive effects of the present invention are:

[0021] 1. In the present invention, the servo motor and the linear module are controlled by the numerical control programming program to realize the interpolation motion of straight lines, arcs and other curves, and the ultrasonic tool is controlled to complete the motion of the four axes of xyz-zθ, thereby completing the cutting of the composite material plate.

[0022] 2. In the present invention, the inclination and acceleration sensors are used to monitor the forces on the handle and the cutter head, and the force and position changes are fed back to the computer to adapt to the force changes of the structure during the cutting process, making the cutting more precise and intelligent.

[0023] 3. In the present invention, the system for adaptively adjusting cutting parameters based on real-time feedback of digital twins is an innovative solution that integrates deep learning, binocular vision technology and Unity engine. The system uses cameras to achieve three-dimensional reconstruction of processing features, and then seamlessly integrates the three-dimensional data into the digital twin model built by Unity to form a virtual model that is highly synchronized with the actual processing state. In the digital twin model, the system can identify potential anomalies or deviations through data analysis. After discovering problems, the system can automatically adjust the processing parameters to achieve adaptive optimization of the processing process. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 A three-dimensional diagram of a high-strength and high-toughness composite material intelligent cutting device proposed by the present invention;

[0025] Figure 2 This is an enlarged stereoscopic diagram of the structure at point A of a high-strength and high-toughness composite material intelligent cutting device proposed by the present invention;

[0026] Figure 3A three-dimensional matching step diagram of a high-strength and high-toughness composite material intelligent cutting device is proposed for the present invention;

[0027] Figure 4 The present invention proposes an adaptive intelligent feedback control method for intelligent cutting equipment of high-strength and high-toughness composite materials;

[0028] Figure 5 A force feedback signal diagram of a high-strength and high-toughness composite material intelligent cutting device is proposed for the present invention.

[0029] Legend:

[0030] 1. Base frame; 2. Placement plate; 3. Support frame; 4. Top frame; 5. Translation motor; 6. Translation screw; 7. Translation block; 8. Lateral moving frame; 9. Lifting moving frame; 10. Lifting moving block; 11. T-plate; 12. Vibration motor; 13. Vibration box; 14. Controller; 15. Computer; 16. Direction correction base; 17. Visual camera; 18. Connecting wire; 19. Tool handle; 20. Tool head. DETAILED DESCRIPTION

[0031] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention clearer, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the described embodiments are only part of the embodiments of the present application, rather than all the embodiments, and the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0032] It should be further explained that the drawings and implementation modes of the present invention mainly describe the concept of the present invention. On the basis of this concept, the specific forms and settings of some connection relationships, positional relationships, power mechanisms, power supply systems, hydraulic systems and control systems may not be fully described. However, on the premise that those skilled in the art understand the concept of the present invention, those skilled in the art can implement the above-mentioned specific forms and settings in a well-known manner.

[0033] When an element is referred to as being "fixed to" or "disposed on" another element, it may be directly on the other element or indirectly on the other element. When an element is referred to as being "connected to" another element, it may be directly connected to the other element or indirectly connected to the other element.

[0034] The directional words "inside and outside" refer to the inside and outside relative to the outline of each component itself. The directions or positional relationships indicated by the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside" and "outside" are based on the directions or positional relationships shown in the drawings and are only for the convenience of describing the present invention and simplifying the description. They do not indicate or imply that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore should not be understood as limiting the present invention.

[0035] For ease of description, spatially relative terms such as "above", "above", "on the upper surface of", "above", etc. may be used here to describe the spatial positional relationship between a device or feature and other devices or features as shown in the figure. It should be understood that spatially relative terms are intended to include different orientations of the device in use or operation in addition to the orientation described in the figure. For example, if the device in the accompanying drawings is inverted, the device described as "above other devices or structures" or "above other devices or structures" will be positioned as "below other devices or structures" or "below other devices or structures". Thus, the exemplary term "above" may include both "above" and "below". The device may also be positioned in other different ways, and the spatially relative descriptions used here are interpreted accordingly.

[0036] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, "multiple" means two or more, and "several" means one or more, unless otherwise clearly and specifically defined.

[0037] The intelligent cutting equipment for high-strength and high-toughness composite materials provided by the present invention is now described.

[0038] Example 1

[0039] like Figure 1-2As shown, the present invention provides a technical solution: a high-strength and high-toughness composite material intelligent cutting equipment, comprising: a base frame 1, a placing plate 2 is arranged on the base frame 1, a support frame 3 is arranged on one side of the base frame 1, a top frame 4 is arranged at one end of the support frame 3, a translation motor 5 is arranged on the top frame 4, a translation screw 6 is arranged at one end of the translation motor 5, a translation block 7 is arranged on the outer surface of the translation screw 6, a lateral movement frame 8 is arranged on the translation block 7, a lifting movement frame 9 is arranged on the lateral movement frame 8, a lifting movement block 10 is arranged on the lifting movement frame 9, and a T The plate 11 is provided with a vibration motor 12, a tool handle 19 is provided at one end of the T-plate 11 away from the vibration motor 12, a tool head 20 is provided at one end of the tool handle 19, a connecting line 18 is provided at one side of the tool handle 19, a vibration box 13 is provided at one end of the connecting line 18, a controller 14 is provided at one side of the T-plate 11 away from the vibration box 13, a computer 15 is provided at one side of the controller 14 away from the bottom frame 1, a direction calibration base 16 is provided on the support frame 3, a visual camera 17 is provided on the direction calibration base 16, a placement plate 2 is fixedly connected to the bottom frame 1, and the support frame One end of the support frame 3 is fixedly connected to the bottom frame 1, the end of the support frame 3 away from the bottom frame 1 is fixedly connected to the top frame 4, the bottom side of the translation screw 6 is fixedly connected to the top frame 4, one end of the translation motor 5 is docked on the translation screw 6, the translation block 7 is limited on the translation screw 6 for sliding adjustment, the two ends of the lateral moving frame 8 are respectively docked on the two translation blocks 7, one side of the lifting and moving frame 9 is docked on the lateral moving frame 8, the lifting and moving block 10 is limited on the lifting and moving frame 9 for lifting and lowering adjustment, one side of the T-plate 11 is fixedly connected to the lifting and moving block 10, and one end of the vibration motor 12 is docked on the lateral moving frame 8. It is connected to the T-board 11, one end of the tool handle 19 is connected to the side of the T-board 11 away from the vibration motor 12, one end of the tool head 20 is connected to the end of the tool handle 19 away from the T-board 11, both ends of the connecting line 18 are respectively connected to the tool handle 19 and the vibration box 13, the controller 14 is placed on one side of the T-board 11, the controller 14 is placed on the side of the base frame 1 away from the vibration box 13, the computer 15 is placed on the side of the controller 14 away from the base frame 1, one side of the direction correction base 16 is fixedly connected to the support frame 3, and the visual camera 17 is limited on the direction correction base 16 for adjustment.

[0040] In this embodiment, the program is input through the computer 15 to control the movement of the four axes of the linear screw module, and then the ultrasonic knife completes the cutting of the high-strength and high-toughness composite material plate. It can accurately control the cutting process of the ultrasonic tool and complete the cutting of different patterns. The intelligence is reflected in the use of acceleration sensors in the cutting process to realize the collection and feedback of force signals during the cutting of the composite material by the handle 19 and the head 20; at the same time, an advanced visual camera 17 is used to observe the cutting state and morphology of the composite material plate in real time, and the feedback signal is sent to the computer 15. The computer 15 adjusts the system in real time to ensure that the cutting process is accurate and stable, providing a good solution for the efficient processing of composite materials.

[0041] Example 2

[0042] like Figure 1-3 As shown, its stereo matching includes the following steps:

[0043] S1, matching cost calculation;

[0044] S2, matching cost aggregation;

[0045] S3, disparity calculation;

[0046] S4. Parallax optimization.

[0047] In this embodiment, in the stereo matching stage, feature correlation calculation is performed, and the matching cost is calculated using the normalized correlation coefficient (NCC).

[0048]

[0049] Where p represents the coordinates of the pixel to be matched in image I1 (px, py), d represents the horizontal distance between the queried pixel position in image I2 and px, Wp represents the matching window centered on the coordinates of the pixel to be matched, and I represents the pixel value of a pixel position in the matching window. Represents the mean of all pixels in the matching window.

[0050] After obtaining the matching cost value of each pixel, the cost aggregation step is performed to increase the information of the pixel. The energy function of the matching cost aggregation proposed by the SGM matching algorithm is used for additional constraints.

[0051]

[0052] In the formula, the first term is the sum of the matching costs of all pixels when the disparity value is D, C is the matching cost, and this term is a data term. The second term adds a constant penalty P1 to all pixels q in the neighborhood Np of pixel p. For pixels in the neighborhood, the disparity change is very small, that is, 1 pixel.

[0053] When solving the optimal solution, the dynamic programming idea is adopted. The path cost calculation method of a certain path r in the solution process is as follows:

[0054]

[0055] p is a pixel, r represents a path along which p follows, d is the disparity value, C(p,d) is the matching cost, pr is the pixel in front of p on the path, and this item starts to penalize the matching cost accumulated from pr pixel to the path in different situations. There are three situations: no penalty, P1 penalty when the disparity value changes to one pixel, and P2 penalty that can protect discontinuous areas. The minimum matching cost is taken. The last item is to avoid the situation where the final aggregation cost becomes a maximum value as the path increases. Therefore, by subtracting the minimum path cost of the previous pixel, the path costs on all paths of the pixel are accumulated and summed as the final aggregation cost. The total path cost formula of the pixel is as follows:

[0056]

[0057] A winner-takes-all algorithm is used to obtain the disparity values ​​in the left and right images.

[0058] In order to avoid factors such as noise interference that may result in low quality of the disparity map, disparity optimization is performed.

[0059] Swap the left and right images, use the matching algorithm to find the disparity map based on the right image, and then compare the same-name points on the left and right views based on the consistency of the left and right views to detect singular points in the disparity map. Process these invalid disparity values ​​to further improve the matching accuracy. According to the invalid points that need to be filled or in the hole area, use the disparity values ​​of other pixels on the same epipolar line to assign values ​​to complete the filling and improve the matching accuracy.

[0060] A filtering step is added to smooth the disparity map, and a bilateral filtering algorithm is used. The principle of bilateral filtering is as follows:

[0061]

[0062] I f (x,y) represents the pixel value after filtering, (x,y) represents the coordinates of the current pixel, I(x,y) represents the grayscale value of the current pixel, Ω represents the neighborhood of the filter, ω(i,j) is the spatial domain weight, which represents the distance weight between the current pixel and the neighboring pixels, g(||I(x,y)-I(i,j)||) is the gray value domain weight, which represents the gray similarity weight between the current pixel and the neighboring pixels, and W P is a normalization factor to ensure that the weights sum to 1.

[0063] The disparity map is converted into a depth map through the principle of triangulation to obtain the three-dimensional point coordinates of the processing features.

[0064] Example 3

[0065] like Figure 1-4 As shown, the control method includes:

[0066] A1, left and right view images;

[0067] A2. Feature extraction of deep convolutional neural network based on attention fusion;

[0068] A3. Calculate feature correlation to obtain disparity value;

[0069] A4. Convert the disparity map into a depth map to calculate the coordinates of the three-dimensional points;

[0070] A5. Feature 3D point cloud.

[0071] In this embodiment, the system for adaptively adjusting cutting parameters based on real-time feedback from digital twins is an innovative solution that integrates deep learning, binocular vision technology, and the Unity engine. The system uses cameras to achieve three-dimensional reconstruction of processing features, and then seamlessly integrates the three-dimensional data into the digital twin model built by Unity to form a virtual model that is highly synchronized with the actual processing state. In the digital twin model, the system can identify potential anomalies or deviations through data analysis. After discovering a problem, the system can automatically adjust the processing parameters to achieve adaptive optimization of the processing process.

[0072] Example 4

[0073] like Figure 1-5 As shown, the system includes a computer 15 for comprehensively processing data and receiving information, a controller 14 for processing and analyzing control signals sent by the computer 15, a driver for performing corresponding operations according to the data signals sent by the controller 14, a servo motor and a linear module for starting relevant motors and linear modules according to driver commands, a tool handle 19 and a tool head 20 for controlling the tool handle 19 and the tool head 20 through the motor and the linear module, receiving commands from the oscillating box 13 at the same time and applying the final processing structure to the tool handle 19 and the tool head 20 on the composite material board, an acceleration sensor for monitoring the speed efficiency of the tool handle 19 and the tool head 20 during operation, a signal processing for transmitting data monitored by the accelerator sensor to the computer 15, a sample cutting and morphology for simulating the cutting state and the cutting morphology of the sample according to the composite material board, an image intelligent recognition algorithm for performing an algorithm for the composite material board cutting process on the computer 15 through a visual camera 17, and a computer 15 for feeding back the algorithm results to the staff and cutting the composite material board through operation to complete the operation.

[0074] In this embodiment, a three-dimensional visual observation system is integrated, which can monitor the state and morphology of the material plate in real time, and the computer 15 evaluates the cutting effect by feedback image signals and digital signals, so as to adjust the parameters such as cutting speed, feed rate and cutting depth in real time, so as to achieve accurate, stable and efficient cutting. The equipment adopts force feedback regulation and visual evaluation control to form an intelligent closed-loop control system. The transmission module and the ultrasonic tool are independently powered. Before use, the linear module can be debugged first, and then the power of the ultrasonic oscillator box 13 is connected and the ultrasonic tool switch is turned on for cutting. The ultrasonic tool handle 19 is reliably connected to the zθ rotating axis servo motor of the module through a semicircular arc fixture to ensure stable operation. Compared with manual control, the digitally controlled servo motor screw transmission module has high precision and stability, and can cut a variety of shapes. The ultrasonic cutting process has low noise, a safe and low-pollution processing environment, and controllable cutting power and speed. It is suitable for most composite material processing and has a wide range of applications. The equipment has a simple structure and is made of aluminum alloy profiles, which is easy to carry and durable. The ultrasonic cutter head 20 is connected to the tool handle 19 by screws, which is convenient for replacement and has low replacement cost.

[0075] Working principle:

[0076] like Figure 1-5 As shown, the high-strength and high-toughness composite intelligent cutting equipment controls the four-axis motion of the linear screw module through a computer 15, and uses an ultrasonic cutter to cut the material. The equipment integrates a three-dimensional visual observation system, which can monitor the state and morphology of the material plate in real time, and feeds back the image signal and digital signal collected by the visual camera 17 to the computer 15. The computer 15 evaluates the cutting effect in real time based on these feedback signals, thereby adjusting the parameters such as cutting speed, feed rate and cutting depth to ensure the accuracy, stability and efficiency of the cutting process.

[0077] To achieve intelligent cutting control, the equipment uses force feedback regulation and visual evaluation control to form a closed-loop intelligent control system. During the cutting process, the sensor monitors the force signal of the tool and feeds it back to the computer 15. After analyzing these signals, the computer 15 can optimize the cutting parameters in real time according to the characteristics of different materials, thereby adapting to the changes of various materials and achieving adaptive optimization of the cutting process.

[0078] In actual operation, the transmission module and the ultrasonic tool are powered independently. Before cutting, the operator can debug the linear module to ensure that the system is in the best working condition. After the ultrasonic oscillator box 13 is powered on, the ultrasonic tool is started for cutting. The handle 19 is reliably connected to the zθ rotating axis servo motor of the module through a semicircular arc fixture to ensure the stability and accuracy of the cutting process. In addition, compared with traditional manual control, the digitally controlled servo motor screw transmission module not only improves the control accuracy, but also can achieve a variety of cutting shapes.

[0079] The structural design of the equipment is simple and practical. It is made of aluminum alloy profiles, which is easy to carry and durable. The ultrasonic cutting process has the advantages of low noise and less pollution, and is suitable for use in a safe processing environment. Its cutting power and speed are controllable and suitable for processing various composite materials. In addition, the ultrasonic cutter head 20 is connected to the handle 19 by screws, which is convenient for replacement and low in replacement cost, further enhancing the economy and practicality of the equipment.

[0080] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

[0081] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0082] Unless otherwise specifically stated, the relative arrangement, numerical expressions and numerical values ​​of the parts and steps described in these embodiments do not limit the scope of the present application. At the same time, it should be understood that, for ease of description, the sizes of the various parts shown in the drawings are not drawn according to the actual proportional relationship. The technology, methods and equipment known to ordinary technicians in the relevant field may not be discussed in detail, but in appropriate cases, the technology, methods and equipment should be regarded as a part of the authorization specification. In all examples shown and discussed here, any specific value should be interpreted as being merely exemplary, rather than as a limitation. Therefore, other examples of exemplary embodiments may have different values. It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once a certain item is defined in an accompanying drawing, it does not need to be further discussed in subsequent drawings.

Claims

1. A high-strength and high-toughness composite material intelligent cutting equipment, characterized in that: include: A base frame (1), wherein a placement plate (2) is arranged on the base frame (1), a support frame (3) is arranged on one side of the base frame (1), a top frame (4) is arranged at one end of the support frame (3), a translation motor (5) is arranged on the top frame (4), a translation screw (6) is arranged at one end of the translation motor (5), a translation block (7) is arranged on the outer surface of the translation screw (6), a lateral movement frame (8) is arranged on the translation block (7), a lifting movement frame (9) is arranged on the lateral movement frame (8), a lifting movement block (10) is arranged on the lifting movement frame (9), a T-plate (11) is arranged on the lifting movement block (10), and the T-plate A vibration motor (12) is arranged on the T-plate (11); a handle (19) is arranged on one end of the T-plate (11) away from the vibration motor (12); a cutter head (20) is arranged on one end of the handle (19); a connecting line (18) is arranged on one side of the handle (19); a vibration box (13) is arranged on one end of the connecting line (18); a controller (14) is arranged on one side of the T-plate (11) away from the vibration box (13); a computer (15) is arranged on one side of the controller (14) away from the base frame (1); a direction calibration base (16) is arranged on the support frame (3); and a visual camera (17) is arranged on the direction calibration base (16).

2. The high-strength and high-toughness composite material intelligent cutting device according to claim 1, characterized in that: The placement plate (2) is fixedly connected to the base frame (1), one end of the support frame (3) is fixedly connected to the base frame (1), one end of the support frame (3) away from the base frame (1) is fixedly connected to the top frame (4), the bottom side of the translation screw (6) is fixedly connected to the top frame (4), one end of the translation motor (5) is docked on the translation screw (6), and the translation block (7) is limited on the translation screw (6) for sliding adjustment.

3. The high-strength and high-toughness composite material intelligent cutting device according to claim 1, characterized in that: The two ends of the transverse moving frame (8) are respectively butt-jointed with the two translation blocks (7); one side of the lifting moving frame (9) is butt-jointed with the transverse moving frame (8); the lifting moving block (10) is limited on the lifting moving frame (9) for lifting and lowering adjustment; one side of the T-plate (11) is fixedly connected to the lifting moving block (10); one end of the vibration motor (12) is butt-jointed with the T-plate (11); one end of the tool handle (19) is butt-jointed with a side of the T-plate (11) away from the vibration motor (12); and one end of the tool head (20) is butt-jointed with an end of the tool handle (19) away from the T-plate (11).

4. The high-strength and high-toughness composite material intelligent cutting device according to claim 1, characterized in that: The two ends of the connecting line (18) are respectively connected to the knife handle (19) and the vibration box (13); the controller (14) is placed on one side of the T-plate (11); the controller (14) is placed on the side of the base frame (1) away from the vibration box (13); the computer (15) is placed on the side of the controller (14) away from the base frame (1); one side of the direction calibration base (16) is fixedly connected to the support frame (3); and the visual camera (17) is limited on the direction calibration base (16) for adjustment.

5. According to the high-strength and high-toughness composite material intelligent cutting equipment described in claims 1-4, it is characterized in that its three-dimensional matching includes the following steps: S1, matching cost calculation; S2, matching cost aggregation; S3, disparity calculation; S4. Parallax optimization.

6. According to the high-strength and high-toughness composite material intelligent cutting equipment and stereo matching according to claims 1-5, characterized in that its control method includes: A1, left and right view images; A2. Feature extraction of deep convolutional neural network based on attention fusion; A3. Calculate feature correlation to obtain disparity value; A4. Convert the disparity map into a depth map to calculate the coordinates of the three-dimensional points; A5. Feature 3D point cloud.

7. According to the high-strength and high-toughness composite intelligent cutting equipment, three-dimensional matching and control method described in claims 1-7, the system comprises a computer (15) for comprehensively processing data and receiving information, a controller (14) for processing and analyzing control signals sent by the computer (15), a driver for performing corresponding operations according to data signals sent by the controller 14, a servo motor and a linear module for starting relevant motors and linear modules according to driver commands, a tool handle (19) and a tool head (20) are controlled by the motor and the linear module, and at the same time, a command from a vibration box (13) is received and the final processing structure is applied to the composite material. A knife handle (19) and a knife head (20) on a plate, an acceleration sensor for monitoring the speed efficiency of the knife handle (19) and the knife head (20) during operation, a signal processing for transmitting data monitored by the accelerator sensor to a computer (15), a sample cutting and morphology for simulating the cutting state of a sample and the cutting morphology of a sample according to a composite material plate, an image intelligent recognition algorithm for performing an algorithm for computer (15) operation test of the composite material plate cutting process through a visual camera (17), and a computer (15) for feeding back the algorithm result to a worker and cutting the composite material plate through operation to complete the operation.

Images