A method and system for controlling a cutting process of an automatic cutting machine

Abstract

The application relates to a method and system for controlling piece-by-piece cutting of an automatic cutting bed, and belongs to the technical field of fabric cutting. The method and system for controlling piece-by-piece cutting of the automatic cutting bed comprise a piece abutment relationship analysis and risk identification, an intelligent grouping decision, and a piece-by-piece cutting and film covering and solidifying step or module. The application can effectively solve the problems of piece pushing and piece taking in cutting of air-impermeable fabrics, and improve cutting precision and stability.

Description

Technical Field

[0001] This invention relates to the field of fabric cutting technology, and in particular to a method and system for controlling the multi-stage cutting of an automatic cutting bed. Background Technology

[0002] In existing automated cutting machines, significant technical challenges arise, particularly when handling multi-layered fabrics with high slippage (such as smooth nylon and coated fabrics) and poor breathability (such as high-density polyester and laminated fabrics). When the spacing between adjacent pieces within the cutting window is too small, problems such as "piece pushing" (the cutter pushing adjacent uncut pieces to shift) and "cutter carrying / adhesion" (the cutter carrying away or adhering to already cut pieces) are highly likely to occur during cutting. These problems lead to fabric outline deformation, decreased precision, material waste, and even damage to the cutter or equipment, severely limiting the number of layers that can be cut and the quality of the finished product for such fabrics.

[0003] Current technologies primarily address these issues by relying on manual experience, reducing cutting speed, or decreasing the number of fabric layers. However, these methods are inefficient and have limited effectiveness. There is a lack of automated and intelligent solutions to accurately identify risk areas and dynamically adjust cutting strategies. Summary of the Invention

[0004] In view of this, it is necessary to provide a method and system for controlling the multi-stage cutting of an automatic cutting bed, so as to solve the problem that the existing technology does not meet expectations in terms of cutting efficiency and cutting effect.

[0005] To address the aforementioned problems, in a first aspect, the present invention provides a method for controlling the multi-stage cutting of an automatic cutting bed, comprising the following steps: s101. Adjacency Analysis and Risk Identification of Cut Pieces: After the cutting software completes the positioning of the cut pieces, it automatically calculates the geometric contour data of all cut pieces in the current cutting window; based on the geometric contour data, it calculates the adjacent distance values ​​and adjacency relationships between each pair of cut pieces through boundary buffer analysis and minimum spacing algorithm; s102. Intelligent grouping decision: Based on the preset safe cutting spacing threshold and the results of the adjacent cutting piece analysis, adjacent cutting pieces with high risk of pushing or snagging are automatically separated; according to the risk level and actual production needs, all cutting pieces in the current window are intelligently grouped into N groups; where N≥2; s103. Segmented cutting and film bonding.

[0006] In one possible implementation, the method for analyzing and identifying the adjacency relationship of the cut pieces in step s101 is as follows: First, a fast screening is performed using axis-aligned bounding boxes. Potential adjacency pairs are identified through bounding box expansion and intersection detection to reduce invalid calculations. Then, a fine calculation is performed on the outline segments of the potential adjacency pairs. The actual adjacency degree of the two cut pieces is quantified by segment trimming and intersection length accumulation, i.e., the total intersection length. Finally, risky adjacency pairs with excessive intersection lengths are identified based on a preset safety threshold, i.e., the maximum allowable intersection length.

[0007] In one possible implementation, the rule for intelligent grouping in step s102 is as follows: ensure that the minimum spacing between all pieces within the same group is greater than the safety threshold a, reduce the risk of adjacent pieces within the group, and achieve risk-free adjacent pieces within the group; while the minimum spacing between adjacent pieces between groups is less than or equal to the safety threshold b, and ensure that the cutting risk is mainly concentrated between groups by balancing the risk between groups.

[0008] In one possible implementation, the intelligent grouping algorithm employs different graph theory algorithms or optimization algorithms depending on the specific scenario.

[0009] In one possible implementation, the rules for intelligent grouping are not limited to spacing, but also incorporate cut piece area, shape complexity, and fabric characteristic parameters for more refined grouping decisions.

[0010] In one possible implementation, the graph theory algorithm includes, but is not limited to, connected component analysis or graph coloring algorithms; the optimization algorithm includes, but is not limited to, the least grouping algorithm or the shortest path algorithm.

[0011] In one possible implementation, the process of step s103 includes: s1031. Initial Cutting: Control the cutting bed to cut only the first set of pieces; s1032. Lamination operation: After the first set of cut pieces is cut, the cutting head automatically moves to the preset fixed safety position on the cutting bed; a layer of adhesive film is laid on the cut area by manual operation or automatic lamination device; s1033. Subsequent cutting: After the lamination is completed and the consolidation is confirmed to be effective, control the cutting bed to return to the working position and cut the second group of cut pieces in sequence; for more than two groups, repeat the process of "cutting -> moving the cut head to the safe position -> lamination -> confirmation -> cutting the next group" until all N groups of cut pieces in the current window are cut. s1034. Window Complete: After all groups in the current window have been cropped and overlaid, the cropping process for the next window will begin.

[0012] In one possible implementation, the coating operation may use, in addition to laying an adhesive film, low-temperature fusion adhesive, peelable coating, vacuum adsorption platform or other physical / chemical consolidation methods.

[0013] Secondly, the present invention also provides a multi-stage cutting control system for an automatic cutting bed, comprising the following modules: Cutting Piece Adjacency Analysis and Risk Identification Module: After the cutting software completes the cutting piece positioning, it automatically calculates the geometric contour data of all cutting pieces within the current cutting window; based on the geometric contour data, it calculates the adjacent distance values ​​and adjacency relationships between each pair of cutting pieces through boundary buffer analysis and minimum spacing algorithm; Intelligent grouping decision module: Based on the preset safe cutting spacing threshold and the results of the adjacent cutting piece analysis, it automatically separates adjacent cutting pieces that have a high risk of pushing or smearing; according to the risk level and actual production needs, it intelligently groups all cutting pieces in the current window into N groups; where N≥2; The module is designed for phased cutting and lamination.

[0014] In one possible implementation, the staged cutting and coating consolidation module specifically includes: Initial Cutting Module: Controls the cutting bed to cut only the first set of pieces; Film coating module: After the first set of cut pieces is cut, the cutting head automatically moves to the preset fixed safe position on the cutting bed; a layer of adhesive film is laid on the cut area through manual operation or automatic film coating device; Subsequent cutting module: After the lamination is completed and the consolidation is confirmed to be effective, control the cutting bed to return to the working position and cut the second group of cut pieces in sequence; for more than two groups, repeat the process of "cutting -> moving the cut head to the safe position -> lamination -> confirmation -> cutting the next group" until all N groups of cut pieces in the current window are cut. Window completion module: After all groups in the current window have been cropped and overlaid, the cropping process of the next window will begin.

[0015] As described above, the present invention provides a method and system for controlling the multi-stage cutting of an automatic cutting bed, including steps or modules for analyzing the adjacency relationship of cut pieces and identifying risks, intelligent grouping decision-making, multi-stage cutting, and lamination consolidation. The beneficial effects of the present invention are: (1) It fundamentally solves the problems of pushing, cutting blade sticking / adhesion, and damaging the pieces when cutting highly slippery and non-breathable materials in dense cutting, and significantly improves the cutting accuracy and outline quality.

[0016] (2) By cutting in stages and bonding with film, the stability of the fabric during the cutting process is greatly enhanced, enabling the cutting bed to handle more layers of this difficult-to-process fabric and break through the original layer limit.

[0017] (3) It realizes automatic identification, intelligent grouping and automatic control of cutting risk areas, reduces reliance on human experience and improves production efficiency and consistency.

[0018] (4) The method of the present invention is applicable to the cutting of various fabrics with slippage and non-breathability characteristics, and has broad application prospects and significant economic benefits, especially in the manufacturing of down jackets, yoga clothes, outdoor sportswear, tents and other products.

[0019] (5) The film coating operation is carried out at a fixed position on the cutting bed and is precisely connected with the cutting process to ensure operational safety and efficiency. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 A flowchart illustrating a multi-stage cutting control method for an automatic cutting bed provided in an embodiment of the present invention; Figure 2 A cutting bed device is provided as an embodiment of the present invention; Figure 3 A flowchart illustrating the program execution of the cutting software provided in this embodiment of the invention; Figure 4 A diagram showing the settings interface of the cutting software provided in an embodiment of the present invention; Figure 5 The image shows the cutting effect of the cutting software provided in this embodiment of the invention. Detailed Implementation

[0022] Preferred embodiments of the present invention will now be described in detail with reference to the accompanying drawings, which form part of this application and are used together with the embodiments of the present invention to illustrate the principles of the present invention, but are not intended to limit the scope of the present invention.

[0023] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a mutually exclusive, independent, or alternative embodiment. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0024] A specific embodiment of the present invention, such as Figure 1As shown, a method for controlling the multi-stage cutting of an automatic cutting bed is disclosed, including the following steps: s101. Adjacency Analysis and Risk Identification of Cut Pieces: After the cutting software completes the positioning of the cut pieces, it automatically calculates the geometric contour data of all cut pieces in the current cutting window; based on the geometric contour data, it calculates the adjacent distance values ​​and adjacency relationships between each pair of cut pieces through boundary buffer analysis and minimum spacing algorithm; s102. Intelligent grouping decision: Based on the preset safe cutting spacing threshold and the results of the adjacent cutting piece analysis, adjacent cutting pieces with high risk of pushing or snagging are automatically separated; according to the risk level and actual production needs, all cutting pieces in the current window are intelligently grouped into N groups; where N≥2; s103. Segmented cutting and film bonding.

[0025] In this embodiment of the invention, the method for analyzing and identifying the adjacency relationship of the cut pieces in step s101 is as follows: First, a fast screening is performed using axis-aligned bounding boxes. Potential adjacency pairs are determined through bounding box expansion and intersection detection to reduce invalid calculations. Then, a fine calculation is performed on the outline segments of the potential adjacency pairs. The actual adjacency degree of the two cut pieces is quantified by segment trimming and intersection length accumulation, i.e., the total intersection length. Finally, risky adjacency pairs with excessive intersection lengths are identified using a preset safety threshold, i.e., the maximum allowable intersection length.

[0026] In this embodiment of the invention, the rule for intelligent grouping in step s102 is as follows: ensure that the minimum spacing between all cut pieces in the same group is greater than the safety threshold a, reduce the risk of adjacent cut pieces within the group, and achieve risk-free adjacent cut pieces within the group; while the minimum spacing between adjacent cut pieces between groups is less than or equal to the safety threshold b, and ensure that the cutting risk is mainly concentrated between groups by balancing the risk between groups.

[0027] In this embodiment of the invention, the intelligent grouping algorithm employs different graph theory algorithms or optimization algorithms depending on the specific scenario.

[0028] In this embodiment of the invention, the rules for intelligent grouping are not limited to spacing, but also combine the area of ​​the cut pieces, shape complexity, and fabric characteristic parameters to make more refined grouping decisions.

[0029] In this embodiment of the invention, the graph theory algorithm includes, but is not limited to, connected component analysis or graph coloring algorithm; the optimization algorithm includes, but is not limited to, the least grouping algorithm or the shortest path algorithm.

[0030] In this embodiment of the invention, the process of step s103 includes: s1031. Initial Cutting: Control the cutting bed to cut only the first set of pieces; s1032. Lamination operation: After the first set of cut pieces is cut, the cutting head automatically moves to the preset fixed safety position on the cutting bed; a layer of adhesive film is laid on the cut area by manual operation or automatic lamination device; s1033. Subsequent cutting: After the lamination is completed and the consolidation is confirmed to be effective, control the cutting bed to return to the working position and cut the second group of cut pieces in sequence; for more than two groups, repeat the process of "cutting -> moving the cut head to the safe position -> lamination -> confirmation -> cutting the next group" until all N groups of cut pieces in the current window are cut. s1034. Window Complete: After all groups in the current window have been cropped and overlaid, the cropping process for the next window will begin.

[0031] In this embodiment of the invention, in addition to laying an adhesive film, the coating operation may also use low-temperature fusion adhesive, peelable coating, vacuum adsorption platform or other physical / chemical consolidation methods.

[0032] like Figure 2 As shown in the figure, a cutting bed device is provided in an embodiment of the present invention, and the control system of the present invention is applied to the cutting bed device.

[0033] Furthermore, such as Figure 3-5 As shown, this embodiment of the invention provides a flowchart of program execution and a schematic diagram of related settings interfaces. Wherein, Figure 5 The purple pieces are prioritized for cutting the first time, and then a portion of the pieces are automatically selected and marked as purple for cutting the second and subsequent times.

[0034] On the other hand, embodiments of the present invention also provide a multi-stage cutting control system for an automatic cutting bed, comprising the following modules: Cutting Piece Adjacency Analysis and Risk Identification Module: After the cutting software completes the cutting piece positioning, it automatically calculates the geometric contour data of all cutting pieces within the current cutting window; based on the geometric contour data, it calculates the adjacent distance values ​​and adjacency relationships between each pair of cutting pieces through boundary buffer analysis and minimum spacing algorithm; Intelligent grouping decision module: Based on the preset safe cutting spacing threshold and the results of the adjacent cutting piece analysis, it automatically separates adjacent cutting pieces that have a high risk of pushing or smearing; according to the risk level and actual production needs, it intelligently groups all cutting pieces in the current window into N groups; where N≥2; The module is designed for phased cutting and lamination.

[0035] In some embodiments, the fabric piece adjacency relationship analysis and risk identification module specifically performs the following steps: First, it performs rapid screening using axis-aligned bounding boxes, and identifies potential adjacency pairs through bounding box expansion and intersection detection to reduce invalid calculations; then, it performs fine calculations on the outline segments of potential adjacency pairs, and quantifies the actual adjacency degree of the two fabric pieces, i.e., the total intersection length, by cutting the segments and accumulating the intersection length; finally, it identifies risky adjacency pairs with excessive intersection lengths based on a preset safety threshold, i.e., the maximum allowable intersection length.

[0036] In some embodiments, the intelligent grouping rule in the intelligent grouping decision module is as follows: ensuring that the minimum spacing between all cut pieces in the same group is greater than the safety threshold a, reducing the risk of adjacent cut pieces within the group, and achieving risk-free adjacent cut pieces within the group; while the minimum spacing between adjacent cut pieces between groups is less than or equal to the safety threshold b, ensuring that the cutting risk is mainly concentrated between groups by balancing the risk between groups.

[0037] In some embodiments, the intelligent grouping algorithm employs different graph theory algorithms or optimization algorithms depending on the specific scenario.

[0038] In some embodiments, the rules for intelligent grouping are not limited to spacing, but also incorporate cut piece area, shape complexity, and fabric characteristic parameters for more refined grouping decisions.

[0039] In some embodiments, the graph theory algorithm includes, but is not limited to, connected component analysis or graph coloring algorithm; the optimization algorithm includes, but is not limited to, the least grouping algorithm or the shortest path algorithm.

[0040] In some embodiments, the staged cutting and coating consolidation module specifically includes: Initial Cutting Module: Controls the cutting bed to cut only the first set of pieces; Film coating module: After the first set of cut pieces is cut, the cutting head automatically moves to the preset fixed safe position on the cutting bed; a layer of adhesive film is laid on the cut area through manual operation or automatic film coating device; Subsequent cutting module: After the lamination is completed and the consolidation is confirmed to be effective, control the cutting bed to return to the working position and cut the second group of cut pieces in sequence; for more than two groups, repeat the process of "cutting -> moving the cut head to the safe position -> lamination -> confirmation -> cutting the next group" until all N groups of cut pieces in the current window are cut. Window completion module: After all groups in the current window have been cropped and overlaid, the cropping process of the next window will begin.

[0041] In some embodiments, the coating operation may use low-temperature fusion adhesive, peelable coating, vacuum adsorption platform or other physical / chemical consolidation methods in addition to laying an adhesive film.

[0042] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for controlling the multi-stage cutting of an automatic cutting bed, characterized in that, Includes the following steps: s101. Adjacency analysis and risk identification of cut pieces: After the cutting software completes the positioning of cut pieces, it automatically calculates the geometric contour data of all cut pieces in the current cutting window; Based on the geometric contour data, the adjacent distance values ​​and adjacency relationships between each pair of cut pieces are calculated through boundary buffer analysis and minimum spacing algorithm; s102. Intelligent grouping decision: Based on the preset safe cutting spacing threshold and the results of the piece adjacency analysis, adjacent pieces with high risk of pushing or overlapping are automatically separated; according to the risk level and actual production needs, all pieces in the current window are intelligently grouped into N groups; where N≥2; the rule of intelligent grouping in step s102 is: to ensure that the minimum spacing between all pieces in the same group is greater than the safe threshold a, to reduce the risk of piece adjacency within the group, and to achieve risk-free adjacency within the group; By evenly distributing risks between groups, we ensure that the risk of pruning is mainly concentrated between groups; s103. Staged cutting and lamination consolidation; The process of step s103 includes: s1031. Initial Cutting: Control the cutting bed to cut only the first set of pieces; s1032. Lamination operation: After the first set of cut pieces is cut, the cutting head automatically moves to the preset fixed safety position on the cutting bed; a layer of adhesive film is laid on the cut area by manual operation or automatic lamination device; s1033. Subsequent cutting: After the lamination is completed and the consolidation is confirmed to be effective, control the cutting bed to return to the working position and cut the second group of cut pieces in sequence; for more than two groups, repeat the process of "cutting -> moving the cut head to the safe position -> lamination -> confirmation -> cutting the next group" until all N groups of cut pieces in the current window are cut. s1034. Window Complete: After all groups in the current window have been cropped and overlaid, the cropping process for the next window will begin.

2. The control method according to claim 1, characterized in that, The method for analyzing and identifying the adjacency relationship of the cut pieces in step s101 is as follows: First, a fast screening is performed using axis-aligned bounding boxes. Potential adjacency pairs are identified through bounding box expansion and intersection detection to reduce invalid calculations. Then, a fine calculation is performed on the outline segments of the potential adjacency pairs. The actual adjacency degree of the two cut pieces is quantified by segment trimming and intersection length accumulation, i.e., the total intersection length. Finally, risky adjacency pairs with excessive intersection lengths are identified using a preset safety threshold, i.e., the maximum allowable intersection length.

3. The control method according to claim 1, characterized in that, The intelligent grouping algorithm employs different graph theory algorithms or optimization algorithms depending on the specific scenario; the graph theory algorithms include, but are not limited to, connected component analysis or graph coloring algorithms; the optimization algorithms include, but are not limited to, minimum grouping algorithms or shortest path algorithms; the rules for intelligent grouping are not limited to spacing, but also combine the area of ​​the cut pieces, shape complexity, and fabric characteristic parameters to make more refined grouping decisions.

4. The control method according to claim 1, characterized in that, In addition to laying an adhesive film, the coating operation can also use low-temperature fusion adhesive, peelable coating, vacuum adsorption platform or other physical / chemical consolidation methods.

5. A multi-stage cutting control system applying the method of claim 1, characterized in that, Includes the following modules: Cutting Piece Adjacency Analysis and Risk Identification Module: After the cutting software completes the cutting piece positioning, it automatically calculates the geometric contour data of all cutting pieces within the current cutting window; Based on the geometric contour data, the adjacent distance values ​​and adjacency relationships between each pair of cut pieces are calculated through boundary buffer analysis and minimum spacing algorithm; Intelligent grouping decision module: Based on the preset safe cutting spacing threshold and the results of the adjacent cutting piece analysis, it automatically separates adjacent cutting pieces that have a high risk of pushing or snagging; according to the risk level and actual production needs, it intelligently groups all cutting pieces in the current window into N groups; where N≥2; The module is designed for phased cutting and lamination consolidation.

6. The control system according to claim 5, characterized in that, The panel adjacency relationship analysis and risk identification module works as follows: First, it performs rapid screening using axis-aligned bounding boxes, and identifies potential adjacency pairs through bounding box expansion and intersection detection, reducing invalid calculations; then, it performs fine calculations on the outline segments of potential adjacency pairs, and quantifies the actual adjacency degree of two panels, i.e., the total intersection length, by segment trimming and intersection length accumulation; finally, it identifies risky adjacency pairs with excessive intersection lengths based on a preset safety threshold, i.e., the maximum allowable intersection length.

7. The control system according to claim 5, characterized in that, The intelligent grouping rule in the intelligent grouping decision module is: to ensure that the minimum distance between all pieces in the same group is greater than the safety threshold a, thereby reducing the risk of adjacent pieces in the group and achieving risk-free adjacent pieces in the group. By balancing the risk between groups, the cutting risk is ensured to be mainly concentrated between groups; the intelligent grouping algorithm adopts different graph theory algorithms or optimization algorithms according to specific scenarios; the graph theory algorithms include, but are not limited to, connected component analysis or graph coloring algorithms; the optimization algorithms include, but are not limited to, minimum grouping algorithms or shortest path algorithms; the rules of intelligent grouping are not limited to spacing, but also combine the area of ​​the cut pieces, shape complexity, and fabric characteristic parameters to make more refined grouping decisions.

8. The control system according to claim 5, characterized in that, The specific components of the phased cutting and coating consolidation module include: Initial Cutting Module: Controls the cutting bed to cut only the first set of pieces; Film coating module: After the first set of cut pieces is cut, the cutting head automatically moves to the preset fixed safe position on the cutting bed; a layer of adhesive film is laid on the cut area through manual operation or automatic film coating device; Subsequent cutting module: After the lamination is completed and the consolidation is confirmed to be effective, control the cutting bed to return to the working position and cut the second group of cut pieces in sequence; for more than two groups, repeat the process of "cutting -> moving the cut head to the safe position -> lamination -> confirmation -> cutting the next group" until all N groups of cut pieces in the current window are cut. Window completion module: After all groups in the current window have been cropped and overlaid, the cropping process of the next window will begin.

9. The control system according to claim 8, characterized in that, In addition to laying an adhesive film, the coating operation can also use low-temperature fusion adhesive, peelable coating, vacuum adsorption platform or other physical / chemical consolidation methods.

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