Intelligent material pulling method, device and computer-readable storage medium

Abstract

The present invention relates to an intelligent material drawing method, a system device and a computer-readable storage medium. The intelligent material drawing method is applied to an intelligent material drawing system, wherein the intelligent material drawing system includes a hollow chuck, a cutting head and a clamping mechanism; the intelligent material drawing method includes: running the clamping mechanism to the nearest material drawing position, and using the clamping mechanism to clamp the pipe; calculating the optimal material drawing length based on the processing trajectory of the pipe; after using the clamping mechanism to run the distance of the optimal material drawing length, using the hollow chuck to clamp the pipe, and releasing the clamping mechanism on the pipe; controlling the cutting head to cut the pipe according to the current processing pattern; the processing trajectory is composed of one or more processing images. Through the above-mentioned intelligent material drawing method, material drawing can be achieved using a single hollow chuck and a clamping mechanism, which is low in cost and simple to operate, and can effectively realize the continuous feeding function.

Description

Technical Field

[0001] The present application relates to the field of electronic control technology, and in particular to an intelligent material pulling method, device, and computer-readable storage medium. Background Art

[0002] In the field of motion control for laser cutting of metal tubes, continuous feeding is one of the most important considerations. However, when using a dual chuck to cut parts, the section of metal tube between the chuck and the cutting head cannot be processed further. This section of material is often called "tail material." When using a dual chuck to cut, the unavoidable "tail material" will result in material waste and reduce customer profits.

[0003] Although the cutting method of the three-chuck machine currently used in the market can solve the problem of waste materials, it basically uses a solid chuck, which cannot achieve reciprocating feeding and pulling of materials. It also has requirements for the length of the pipe. Once long pipes need to be processed, it cannot meet the requirements. The hollow three-chuck structure is expensive and complicated to operate.

[0004] The market is in urgent need of a continuous feeding laser cutting method for pipes with short tailings, low cost and simple operation. Summary of the Invention

[0005] The present application provides an intelligent material pulling method, device and computer-readable storage medium.

[0006] The present application provides an intelligent material pulling method, which is applied to an intelligent material pulling system, wherein the intelligent material pulling system includes a hollow chuck, a cutting head, and a clamping mechanism; the intelligent material pulling method includes:

[0007] Move the clamping mechanism to the nearest position for pulling the material, and use the clamping mechanism to clamp the pipe;

[0008] Calculating the optimal drawing length based on the processing trajectory of the pipe;

[0009] After the clamping mechanism runs the distance of the optimal drawing length, the hollow chuck is used to clamp the pipe, and then the clamping mechanism on the pipe is released;

[0010] Controlling the cutting head to cut the pipe according to the current processing pattern;

[0011] The processing trajectory is composed of one or more processing graphics.

[0012] After the controlling cutting head cuts the pipe according to the current processing pattern, the intelligent drawing method further includes:

[0013] Determine whether the next processing pattern exceeds the nearest position of the drawing material;

[0014] If not, the current clamping state of the pipe is maintained, and the pipe is continued to be cut according to the next processing pattern.

[0015] After the controlling cutting head cuts the pipe according to the current processing pattern, the intelligent drawing method further includes:

[0016] When the next processing pattern exceeds the nearest pulling position, stop cutting, move the clamping mechanism to the nearest pulling position, and use the clamping mechanism to clamp the pipe, release the hollow chuck on the pipe, calculate the next optimal pulling length based on the remaining processing patterns of the pipe, use the clamping mechanism to run the distance of the next optimal pulling length, use the hollow chuck to clamp the pipe, release the clamping mechanism on the pipe, and control the cutting head to cut the pipe according to the next processing pattern.

[0017] Wherein, after stopping cutting and moving the clamping mechanism to the nearest material pulling position, the intelligent material pulling method further comprises:

[0018] Obtaining the remaining length of the pipe;

[0019] Determine whether the total length of the part where the next processing pattern is located exceeds the remaining pipe length;

[0020] If so, the pipe is not enough to cut a complete part, that is, the pipe has been cut, the cutting head is raised, and the hollow chuck is released;

[0021] If not, the pipe is clamped by the clamping mechanism, the hollow chuck on the pipe is released, and the next drawing is performed according to the next optimal drawing length.

[0022] Wherein, after continuing to cut the pipe according to the next processing pattern, the intelligent drawing method further includes:

[0023] The new remaining pipe length is calculated using the total length of the processed graphics, the length of the pipe, and the distance between the clamping mechanism and the hollow chuck when the clamping mechanism is located at the closest position of the material pulling.

[0024] The step of calculating the optimal drawing length based on the processing trajectory of the pipe includes:

[0025] Sequentially superimposing and calculating the length of each processing graphic in the processing trajectory;

[0026] During the superposition calculation process, it is determined whether the superposition length exceeds a preset length threshold;

[0027] If so, remove the currently superimposed processing graphics to obtain the optimal drawing length;

[0028] If not, continue to superimpose the next processing graphic.

[0029] The preset length threshold is calculated by the difference between the nearest and farthest drawing positions of the pipe.

[0030] Wherein, after controlling the cutting head to cut the pipe according to the current processing pattern, the intelligent drawing method further includes:

[0031] Check whether there is any abnormal stop midway;

[0032] If so, read the cut distance saved before the interruption, and continue cutting from the current point based on the cut distance.

[0033] Wherein, continuing cutting from the current point based on the cut distance includes:

[0034] determining whether the abnormal stop occurred during the cutting process based on the cut distance;

[0035] If so, continue cutting from the current point based on the cut distance;

[0036] If not, the current remaining length of the pipe is obtained. If the next processing pattern exceeds the nearest position of the material drawing, the material is continued to be drawn from the current point until the length of the next processing pattern is met.

[0037] The present application also provides an intelligent material pulling system, which includes a hollow chuck, a cutting head and a clamping mechanism; wherein,

[0038] The hollow chuck is used to fix the pipe and carry the pipe to rotate;

[0039] The cutting head and the clamping mechanism move in the same direction. The clamping mechanism is used to clamp the pipe and move the pipe to an optimal pulling length, wherein the optimal pulling length is calculated based on the processing trajectory of the pipe. The cutting head is used to cut the pipe.

[0040] The present application also provides an intelligent material pulling device, the data processing device includes a processor and a memory, the memory stores program data, and the processor is used to execute the program data to implement the intelligent material pulling method as described above.

[0041] The present application also provides a computer-readable storage medium, which is used to store program data. When the program data is executed by a processor, it is used to implement the above-mentioned intelligent material pulling method.

[0042] The beneficial effects of this application are as follows: the intelligent material pulling device moves the clamping mechanism to the closest material pulling position and uses the clamping mechanism to clamp the pipe; the optimal material pulling length is calculated based on the processing trajectory of the pipe; after the clamping mechanism runs the distance of the optimal material pulling length, the hollow chuck is used to clamp the pipe and the clamping mechanism on the pipe is released; the cutting head is controlled to cut the pipe according to the current processing pattern; the processing trajectory is composed of one or more processing images. Through the above-mentioned intelligent material pulling method, material pulling can be achieved using a single hollow chuck and clamping mechanism, which is low-cost, simple to operate, and can effectively realize the continuous feeding function. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The above and other objects, features and advantages of the exemplary embodiments of the present disclosure will become readily understood by reading the following detailed description with reference to the accompanying drawings. In the accompanying drawings, several embodiments of the present disclosure are shown in an illustrative and non-limiting manner, and the same or corresponding reference numerals represent the same or corresponding parts, wherein:

[0044] Figure 1 This is a structural diagram of an embodiment of the intelligent material pulling system provided by the present application;

[0045] Figure 2 It is a structural diagram of another embodiment of the intelligent material pulling system provided by the present application;

[0046] Figure 3 This is a flow chart of the first embodiment of the intelligent material pulling method provided by this application;

[0047] Figure 4 yes Figure 3 The specific process diagram of the intelligent material pulling method shown;

[0048] Figure 5 yes Figure 3 A schematic flow chart of the sub-steps of step S13 of the intelligent material pulling method;

[0049] Figure 6 yes Figure 5 The specific process diagram of the intelligent material pulling method shown;

[0050] Figure 7 This is a flow chart of the second embodiment of the intelligent material pulling method provided by this application;

[0051] Figure 8 yes Figure 7 The specific process diagram of the intelligent material pulling method shown;

[0052] Figure 9 This is a structural diagram of an embodiment of the intelligent material pulling system provided by the present application;

[0053] Figure 10 This is a structural diagram of an embodiment of the intelligent material pulling device provided by the present application;

[0054] Figure 11 It is a structural diagram of an embodiment of a computer-readable storage medium provided by this application. DETAILED DESCRIPTION

[0055] The following will be combined with the accompanying drawings in the embodiments of the present disclosure to clearly and completely describe the technical solutions in the embodiments of the present disclosure. Obviously, the embodiments described are part of the embodiments of the present disclosure, not all of them. Based on the embodiments of the present disclosure, all other embodiments obtained by those skilled in the art without making any creative efforts shall fall within the scope of protection of the present disclosure.

[0056] The specific embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.

[0057] In order to solve the problems of the existing technology and meet the market's urgent need for a method for continuous feeding laser cutting pipes with short tails, low cost and simple operation, this application designs a continuous feeding method for intelligent pulling materials, such as Figure 1 As shown, the intelligent pulling method provided by the present application uses at least two axes, namely the Y-axis and the B-axis, wherein the B-axis is the rotation axis of the hollow chuck B, and the Y-axis carries the cutting head and the auxiliary clamping mechanism K to move.

[0058] Before describing the intelligent material drawing method provided in the present application, the necessary parameters involved in the intelligent material drawing method provided in the present application are first defined and set.

[0059] Please continue to read for details Figure 2 , pipe length L, that is, the total length of the pipe to be processed. Clamping length l, that is, the length clamped inside the hollow chuck, this length cannot be processed. Distance between the hollow chuck and the nozzle, that is, the distance between the nozzle and the hollow chuck when the cutting head is at the closest position to pull the material, this length cannot be processed. The closest pulling position Y1 is generally set at the position closest to the hollow chuck. First, the closer the pipe is, the less affected by gravity and the smallest deformation; second, the closer it is, the longer the length that can be pulled out; third, the closer the tail is, the shorter the tail. The farthest pulling position Y2 is set according to the processing parts and mechanical limit settings. If the processing parts are long, it can be set to a farther position to reduce the number of pulls and improve the cycle time; if the processing parts are short, it can be set to a closer position to reduce deformation and ensure accuracy; if the processing parts are short and there is no precision requirement, it can also be set far. This method can pull and process multiple parts at a time, reduce the number of pulls, improve the cycle time, and maximize production efficiency.

[0060] The following is a detailed introduction to the intelligent material pulling method provided by this application. Figure 3 and Figure 4 , Figure 3 This is a flow chart of the first embodiment of the intelligent material pulling method provided by this application. Figure 4 yes Figure 3 Schematic diagram of the specific process of the intelligent material pulling method shown.

[0061] The intelligent material pulling method of the present application is applied to an intelligent material pulling device, wherein the intelligent material pulling device of the present application may include a server, or may include a system in which a server and a terminal device cooperate with each other. Accordingly, the various parts of the intelligent material pulling device, such as the various units, subunits, modules, and submodules, may be all set in the server, or may be separately set in the server and the terminal device.

[0062] Furthermore, the above-mentioned server can be hardware or software. When the server is hardware, it can be implemented as a distributed server cluster consisting of multiple servers, or it can be implemented as a single server. When the server is software, it can be implemented as multiple software or software modules, such as software or software modules used to provide distributed servers, or it can be implemented as a single software or software module, which is not specifically limited here. In some possible implementations, the intelligent material pulling method of the embodiment of the present application can be implemented by a processor calling computer-readable instructions stored in a memory.

[0063] Specifically, if Figure 3 and Figure 4 As shown, the intelligent material pulling method of the embodiment of the present application specifically includes the following steps:

[0064] Step S11: Move the clamping mechanism to the nearest material pulling position and use the clamping mechanism to clamp the pipe.

[0065] In the embodiment of the present application, the pipe to be cut is placed in place to ensure that the pipe can be in a position where it can be clamped by the clamping mechanism K. Figure 1 and Figure 2 The states of the hollow chuck and the clamping mechanism are set as follows: the hollow chuck B clamps the pipe, and the clamping mechanism K is in a loose state.

[0066] In the embodiment of the present application, the intelligent pulling device controls the Y axis to carry the clamping mechanism K to move to Figure 2 The nearest position of the pulling material in the pipe is Y1. The intelligent pulling device controls the clamping mechanism K to clamp the pipe, and after clamping, controls the hollow chuck B to release the pipe.

[0067] Step S12: Calculate the optimal drawing length based on the processing trajectory of the pipe.

[0068] In an embodiment of the present application, the intelligent pulling device calculates the optimal pulling length based on the processing trajectory of the pipe, wherein the optimal pulling length determines the moving distance of the clamping mechanism, that is, the pulling distance of the pipe.

[0069] Specifically, the intelligent pulling device can calculate the length of a processing pattern and use the length of a processing pattern as the optimal pulling length; it can also calculate the total length of multiple processing patterns on the pipe and use this total length as the optimal pulling length.

[0070] In the embodiment of the present application, the intelligent pulling device can also be used as follows Figure 5 and Figure 6 The method for calculating the optimal pull length is shown in .

[0071] Specifically, if Figure 5 As shown, the intelligent material pulling method of step S12 specifically includes the following sub-steps:

[0072] Step S121: sequentially superimpose and calculate the length of each processing figure in the processing trajectory.

[0073] In the embodiment of the present application, the intelligent material pulling device obtains all the processing graphics in the processing trajectory and obtains the processing order of all the processing graphics. The intelligent material pulling device sequentially calculates the length of each processing graphic in the processing trajectory according to the processing order.

[0074] In addition, the intelligent pulling device can also obtain the remaining length of the pipe before superimposing and calculating the length of the processing graphics. , and then determine whether the total length of the part where the processing graphics is located exceeds the remaining pipe length If so, it means the current tube does not meet the processing requirements of a part. This tube is processed, cutting stops, the cutting head is raised, and the Y-axis carrying the clamping mechanism K moves to the closest material pulling position Y1. The hollow chuck B is controlled to output, and the tube is released, waiting for the next loading. If not, the length of each processing pattern in the processing trajectory is calculated sequentially.

[0075] Step S122: During the superposition calculation process, determine whether the superposition length exceeds a preset length threshold.

[0076] In the embodiment of the present application, the intelligent pulling device calculates the length of each processed graphic according to the processing sequence, that is, executes the judgment logic of steps S122 to S124.

[0077] Specifically, during the superposition calculation process, the intelligent pulling device determines whether the superposition length after superimposing the processing graphics of the current processing sequence exceeds the preset length threshold; if exceeded, it enters step S123; if not, it enters step S124.

[0078] The preset length threshold can be obtained by the difference between the closest pulling position Y1 and the farthest pulling position Y2 of the pipe material, and the preset length threshold is Y2-Y1.

[0079] Step S123: Eliminate the currently superimposed processing graphics to obtain the optimal drawing length.

[0080] In the embodiment of the present application, when the current stacking length is greater than Y2-Y1, the intelligent pulling device returns to the stacking length of the last processed graphic and uses it as the optimal pulling length. .

[0081] Step S124: Continue to superimpose the next processing graphic.

[0082] In the embodiment of the present application, when the current stacking length is less than Y2-Y1, the intelligent pulling device continues to stack the next processing pattern and returns to step S121.

[0083] Step S13: Using the clamping mechanism to run the optimal material pulling length, using the hollow chuck to clamp the pipe, and releasing the clamping mechanism on the pipe.

[0084] In the embodiment of the present application, the intelligent pulling device controls the Y-axis to carry the clamping mechanism K to pull the material, and the running distance is the optimal pulling length calculated in step S13. After the material pulling is completed, the intelligent material pulling device controls the hollow chuck B to clamp the pipe. After the hollow chuck B clamps the pipe, it controls the clamping mechanism K to release the pipe.

[0085] Step S14: Control the cutting head to cut the pipe according to the current processing pattern.

[0086] In an embodiment of the present application, the intelligent pulling device controls the cutting head to start cutting the pipe from the current position.

[0087] Furthermore, after the intelligent material pulling device completes cutting the pipe according to the current processing pattern, it determines whether the next processing pattern exceeds the nearest material pulling position Y1.

[0088] If the next processing pattern does not exceed the nearest position Y1 of the material pulling, the existing clamping state will continue to be maintained, and the pipe will be cut according to the next processing pattern, and the cutting position of this time will be superimposed and recorded. , and then the new remaining pipe length can be calculated .

[0089] in, is the pipe length, is the clamping length, is the distance between the hollow chuck B and the cutting head.

[0090] If the next processing pattern exceeds the nearest position Y1 of the pulling material, continue to judge whether the length of the next processing pattern exceeds the remaining pipe length If it exceeds, stop cutting, raise the cutting head, control the Y axis to carry the clamping mechanism K to move to the nearest position Y1 for pulling the material, control the output port of the hollow chuck B, release the pipe, and wait for the next loading; if it does not exceed, stop cutting, raise the cutting head, and return to step S12 to realize the circular feeding.

[0091] In an embodiment of the present application, the intelligent pulling device uses a hollow chuck to clamp the pipe to be cut; runs the clamping mechanism to the nearest pulling position, and uses the clamping mechanism to clamp the pipe, and releases the hollow chuck on the pipe; calculates the optimal pulling length based on the processing trajectory of the pipe; uses the clamping mechanism to run the distance of the optimal pulling length, uses the hollow chuck to clamp the pipe, and releases the clamping mechanism on the pipe; controls the cutting head to cut the pipe at the current position. The above-mentioned intelligent pulling method only uses one hollow chuck and an auxiliary clamping mechanism, which greatly reduces costs and is easy to assemble and operate. Compared with the traditional double hollow chuck pushing method, the tail material is shorter when using the pulling method, and almost only the clamping part cannot be cut, avoiding waste of pipes and increasing user benefits. Users can freely configure the maximum pull-out length allowed while taking into account precision and efficiency. The optimal pulling length is calculated based on intelligent calculation to ensure that the pull-out length is closest to the hollow chuck, minimizing deformation caused by gravity and improving processing accuracy. The operation is simple, and only 5 parameters need to be set to achieve the continuous feeding function.

[0092] Please continue reading Figure 7 and Figure 8 , Figure 7 This is a flow chart of the second embodiment of the intelligent material pulling method provided by this application. Figure 8 yes Figure 7 Schematic diagram of the specific process of the intelligent material pulling method shown.

[0093] Specifically, if Figure 7 and Figure 8 As shown, the intelligent material pulling method of the embodiment of the present application specifically includes the following steps:

[0094] Step S21: Detect whether an abnormal stop occurs midway.

[0095] In the embodiment of the present application, the intelligent pulling device detects whether an abnormal stop occurs midway. If so, it enters step S22.

[0096] Step S22: Read the cut distance saved before the interruption, and continue cutting from the current point based on the cut distance.

[0097] In the embodiment of the present application, the intelligent pulling device reads the current Y-axis position , read the superimposed cut distance recorded before stopping , read the processing trajectory number.

[0098] The intelligent pulling device determines whether the interruption is during the opening and cutting process:

[0099] If during the cutting process, The cut distance is added and the process proceeds to step S14 in the above embodiment to continue cutting the pipe from the current point.

[0100] If the feeding process is in progress, the intelligent pulling device controls the X axis to return to the center of the pipe and determines whether the next processing pattern exceeds the nearest pulling position Y1. If it exceeds, the material will continue to be pulled from the current point, and the pulling distance is If it does not exceed, then go to step S14 in the above embodiment and continue cutting the pipe from the current point.

[0101] In the embodiment of the present application, the intelligent pulling device can continue cutting on the current pipe after an abnormal interruption, thereby avoiding waste of pipes and increasing user benefits.

[0102] Those skilled in the art will understand that in the above-mentioned method of the specific implementation method, the writing order of each step does not mean a strict execution order and does not constitute any limitation on the implementation process. The specific execution order of each step should be determined by its function and possible internal logic.

[0103] In order to realize the intelligent material pulling method of the above embodiment, this application also proposes an intelligent material pulling system. Figure 9 , Figure 9 It is a structural diagram of an embodiment of the intelligent material pulling system provided in this application.

[0104] The intelligent material pulling system 500 of the embodiment of the present application includes a hollow chuck 51 , a cutting head 52 and a material clamping mechanism 53 .

[0105] The hollow chuck 51 is used to fix the pipe.

[0106] The cutting head 52 and the clamping mechanism 53 move in the same direction. The clamping mechanism 53 is used to clamp the pipe and move the pipe to an optimal pulling length, wherein the optimal pulling length is calculated based on the processing trajectory of the pipe. The cutting head 52 is used to cut the pipe.

[0107] In order to realize the intelligent material pulling method of the above embodiment, this application also proposes an intelligent material pulling device, please refer to Figure 10 , Figure 10 It is a structural schematic diagram of an embodiment of the intelligent material pulling device provided in this application.

[0108] The intelligent material pulling device 600 of the embodiment of the present application includes a memory 61 and a processor 62, wherein the memory 61 and the processor 62 are coupled.

[0109] The memory 61 is used to store program data, and the processor 62 is used to execute the program data to implement the intelligent material drawing method described in the above embodiment.

[0110] In this embodiment, the processor 62 may also be referred to as a CPU (Central Processing Unit). The processor 62 may be an integrated circuit chip with signal processing capabilities. The processor 62 may also be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic device, discrete gate or transistor logic device, or discrete hardware component. A general-purpose processor may be a microprocessor, or the processor 62 may be any conventional processor.

[0111] In order to implement the intelligent material pulling method of the above embodiment, the present application also provides a computer readable storage medium, such as Figure 11 As shown, the computer-readable storage medium 700 is used to store program data 71. When the program data 71 is executed by the processor, it is used to implement the intelligent material drawing method as described in the above embodiment.

[0112] The present application also provides a computer program product, wherein the computer program product includes a computer program, and the computer program is operable to enable a computer to execute the intelligent material drawing method as described in the embodiments of the present application. The computer program product can be a software installation package.

[0113] The intelligent material pulling method described in the above embodiments of the present application, when implemented in the form of a software functional unit and sold or used as an independent product, can be stored in a device, such as a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) or a processor to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program code, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0114] In the foregoing description of this specification, unless otherwise expressly specified or limited, terms such as "fixed," "mounted," "connected," or "connected" should be understood broadly. For example, the term "connected" can refer to a fixed connection, a removable connection, or an integral connection; a mechanical connection or an electrical connection; a direct connection or an indirect connection through an intermediary; or the internal connection between two components or the interaction between two components. Therefore, unless otherwise expressly defined in this specification, those skilled in the art will understand the specific meanings of the above terms in the present invention based on the specific circumstances.

[0115] According to the above description of this specification, those skilled in the art may also understand that the terms used below, such as "up", "down", "front", "back", "left", "right", "length", "width", "thickness", "vertical", "horizontal", "top", "bottom", "inside", "outside", "axial", "radial", "circumferential", "center", "longitudinal", "transverse", "clockwise" or "counterclockwise", etc., which indicate orientation or positional relationships, are based on the orientation or positional relationships shown in the drawings of this specification, and are only for the purpose of facilitating the explanation of the scheme of the present invention and simplifying the description, rather than explicitly or implicitly indicating that the device or element involved must have the specific orientation, be constructed and operate in a specific orientation. Therefore, the above-mentioned orientation or positional relationship terms cannot be understood or interpreted as limitations on the scheme of the present invention.

[0116] In addition, the terms "first" or "second" used in this specification to refer to numbers or ordinal numbers are used for descriptive purposes only and should not be understood as explicitly or implicitly indicating relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature specified as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of this specification, "plurality" means at least two, such as two, three or more, etc., unless otherwise clearly specified.

[0117] Although this specification has shown and described a number of embodiments of the present invention, it will be apparent to those skilled in the art that such embodiments are provided by way of example only. Those skilled in the art will conceive of many modifications, variations, and alternatives without departing from the concept and spirit of the present invention. It should be understood that in practicing the present invention, various alternatives to the embodiments of the present invention described herein may be employed. The appended claims are intended to define the scope of protection of the present invention and therefore cover modular compositions, equivalents, or alternatives within the scope of these claims.

Claims

1. An intelligent material pulling method, characterized in that: The intelligent material pulling method is applied to an intelligent material pulling system, wherein the intelligent material pulling system includes a hollow chuck, a cutting head and a clamping mechanism; The intelligent material pulling method includes: moving the clamping mechanism to the closest material pulling position and clamping the pipe by the clamping mechanism; the closest material pulling position is the position where the clamping mechanism is closest to the hollow chuck; Calculating an optimal pulling length based on the processing trajectory of the pipe; the optimal pulling length is the optimal pulling distance of the pipe when it is clamped and pulled by the clamping mechanism; After the clamping mechanism is used to run the optimal drawing length, the hollow chuck is used to clamp the pipe, and the clamping mechanism on the pipe is released; Controlling the cutting head to cut the pipe according to the current processing pattern; The processing trajectory is composed of one or more processing graphics.

2. The intelligent material pulling method according to claim 1, characterized in that: After controlling the cutting head to cut the pipe according to the current processing pattern, the intelligent material drawing method further includes: determining whether the next processing pattern exceeds the nearest position of the material drawing; If not, the current clamping state of the pipe is maintained, and the pipe is continued to be cut according to the next processing pattern.

3. The intelligent material pulling method according to claim 1 or 2, characterized in that: After controlling the cutting head to cut the pipe according to the current processing pattern, the intelligent drawing method further includes: when the next processing pattern exceeds the nearest drawing position, stopping cutting, moving the clamping mechanism to the nearest drawing position, and using the clamping mechanism to clamp the pipe, releasing the hollow chuck on the pipe, calculating the next optimal drawing length based on the remaining processing patterns of the pipe, using the clamping mechanism to run the distance of the next optimal drawing length, using the hollow chuck to clamp the pipe, releasing the clamping mechanism on the pipe, and controlling the cutting head to press the next processing pattern to cut the pipe.

4. The intelligent material pulling method according to claim 3, characterized in that: After stopping cutting and moving the clamping mechanism to the nearest position for pulling the material, the intelligent material pulling method further includes: obtaining the remaining length of the pipe; Determine whether the total length of the part where the next processing pattern is located exceeds the remaining pipe length; If so, the pipe is not enough to cut a complete part, that is, the pipe has been cut, the cutting head is raised, and the hollow chuck is released; If not, the pipe is clamped by the clamping mechanism, the hollow chuck on the pipe is released, and the next drawing is performed according to the next optimal drawing length.

5. The intelligent material pulling method according to claim 2, characterized in that: After continuing to cut the pipe according to the next processing pattern, the intelligent pulling method also includes: calculating the new remaining pipe length using the total length of the currently processed patterns, the length of the pipe, the clamping length, and the distance between the cutting head and the hollow chuck when the cutting head is located at the closest position of the pulling material; the clamping length is the length clamped inside the central control chuck.

6. The intelligent material pulling method according to claim 1, characterized in that: The calculating of the optimal drawing length based on the processing trajectory of the pipe comprises: sequentially and superimposing the calculation of the length of each processing pattern in the processing trajectory; During the superposition calculation process, it is determined whether the superposition length exceeds a preset length threshold; If so, remove the currently superimposed processing graphics to obtain the optimal drawing length; If not, continue to superimpose the next processing graphic.

7. The intelligent material pulling method according to claim 6, characterized in that: The preset length threshold is calculated by the difference between the closest pulling position and the farthest pulling position of the pipe; the farthest pulling position is the farthest position of the clamping mechanism from the hollow chuck.

8. The intelligent material pulling method according to claim 1, characterized in that: After controlling the cutting head to cut the pipe according to the current processing pattern, the intelligent material pulling method further includes: detecting whether an abnormal stop occurs midway; If so, read the cut distance saved before the interruption, and continue cutting from the current point based on the cut distance.

9. The intelligent material pulling method according to claim 8, characterized in that: The continuing cutting from the current point based on the cut distance includes: judging whether the abnormal stop situation occurs during the cutting process based on the cut distance; If so, continue cutting from the current point based on the cut distance; If not, the current remaining length of the pipe is obtained. If the next processing pattern exceeds the nearest position of the material drawing, the material is continued to be drawn from the current point until the length of the next processing pattern is met.

10. An intelligent material pulling system, characterized in that: The intelligent material pulling system includes a hollow chuck, a cutting head and a material clamping mechanism; The hollow chuck is used to fix the pipe and carry the pipe to rotate; The cutting head and the clamping mechanism move in the same direction. The clamping mechanism is used to clamp the pipe and move the pipe to an optimal drawing length, wherein the optimal drawing length is calculated based on the processing trajectory of the pipe; the optimal drawing length is the optimal drawing distance of the pipe when clamped and pulled by the clamping mechanism; The cutting head is used to cut the pipe.

11. An intelligent material pulling device, characterized in that: The intelligent material pulling device includes a processor and a memory, wherein program data is stored in the memory, and the processor is used to execute the program data to implement the intelligent material pulling method according to any one of claims 1 to 9.

12. A computer-readable storage medium, characterized in that The computer-readable storage medium is used to store program data, and when the program data is executed by the processor, it is used to implement the intelligent material drawing method according to any one of claims 1 to 9.

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