Method, system and device for monitoring process compliance of garment cutting

Abstract

The present invention provides a process compliance monitoring method for garment cutting, comprising the following identification steps: a piece picking action judgment step, receiving information that the cutting task has been completed, obtaining hand action information of a garment cutting worker and performing piece picking action recognition and judgment, judging whether the worker's operation is a piece picking action according to the recognition result, thereby judging the position where the piece is accurately placed when the worker operates to pick up the piece; a gray value matching judgment step, obtaining and comparing the gray value of the felt color of the piece picking area and the gray value of the piece area of ​​the cutting file, judging whether the gray values ​​of the two match, and obtaining information about the piece in the cutting file; and when the piece picking action judgment step is completed and the overlap comparison in the gray value matching judgment step is completed, the current piece picking task is terminated, and the piece attribute type information is sent to the MES manufacturing execution system.

Description

Technical Field

[0001] The present invention relates to the field of intelligent clothing equipment, and in particular to a method, system and equipment for monitoring compliance of clothing cutting processes. Background Art

[0002] The existing technologies are all manual cutting or cutting on a cutting bed. The current problems are as follows: First, after cutting is completed, it is necessary to put serial numbers on the cut pieces, which is time-consuming and laborious; second, after the workers complete the cutting, when the cut pieces flow into the next process, it is easy for the cut pieces to be lost or misnumbered, which makes it very difficult for the company to produce; third, the labor cost is increasing year by year, and the younger generation of individuals are unwilling to work in traditional industries such as clothing, which makes it difficult for companies to recruit workers and train technical personnel. In order to solve the shortcomings of existing technologies and the difficulties of traditional companies, it is necessary to develop technology for process compliance detection during clothing cutting, thereby reducing the difficulty of workers' operation and improving the production efficiency of enterprises. Summary of the invention

[0003] One of the purposes of the present invention is to provide a method, system and equipment for monitoring process compliance of garment cutting, which can be used in the garment cutting process in the intelligent production of high-end customized garments, solve the problem of canceling serial numbers, improve production efficiency, and refine the delivery of cut pieces.

[0004] One of the purposes of the present invention is to provide a method, system and equipment for monitoring the compliance of the process of clothing cutting, which reduces labor costs, reduces the difficulty of workers' operation and improves production efficiency through a production mode of one piece, one batch, one person, one hanging basket, one person, one process and one piece, one package.

[0005] In order to achieve at least one of the inventive purposes of the present invention, the present invention provides a method for monitoring process compliance of garment cutting, the method for monitoring process compliance of garment cutting comprising the following identification steps:

[0006] The step of judging the cutting piece picking action receives the information that the cutting task has been completed, obtains the hand action information of the garment cutting worker and performs the cutting piece picking action recognition and judgment, and judges whether the worker's operation is a cutting piece picking action according to the recognition result, so as to judge the precise placement position of the cutting piece when the worker operates to pick up the cutting piece;

[0007] A gray value matching judgment step, obtaining and comparing the gray value of the felt color in the cutting piece picking area and the gray value of the cutting piece area in the cutting file, judging whether the gray values ​​of the two match, and obtaining the information of the cutting piece in the cutting file; and

[0008] When the piece picking action judgment step is completed and the overlap comparison in the gray value matching judgment step is completed, the current piece picking task is ended and the piece attribute type information is sent to the MES manufacturing execution system.

[0009] In some embodiments, the process compliance monitoring method for garment cutting further comprises the following steps: an action standardization step, in which the action of picking up the cut pieces is standardized.

[0010] In some embodiments, the process compliance monitoring method for garment cutting further includes the following steps: executing AI graphic image comparison and dark computing recognition steps, collecting gesture images and motion information of workers picking up pieces and operating work, implanting standard motion graphic images of picking up pieces, establishing a standard motion graphic image database of picking up pieces, and performing graphic marking positioning and motion image tracking processing on the images and motion information of these picking up pieces.

[0011] In some embodiments, the standardized movements include single-handed and double-handed reaching movements, double-handed picking movements, and double-handed retracting movements.

[0012] In some embodiments, the method for monitoring process compliance of garment cutting further includes the following steps: communicatively connecting with a high-frequency camera disposed above the cutting area of ​​the cutting table to obtain hand movement information captured by the high-frequency camera.

[0013] In some embodiments, the process compliance monitoring method for garment cutting further includes the following steps: obtaining attribute setting data for three types of cut pieces, namely, glued lining, non-glue lining, and glued lining secondary fine cutting, for each cut piece in each cutting file during CAD typesetting; numbering the cut pieces of each garment to generate a serial number.

[0014] In some embodiments, the process compliance monitoring method for garment cutting further includes the following steps: cutting garment fabrics, setting a cutting table and a projector installed on the cutting table, and controlling a corresponding cutting execution system, wherein the object of precise projection is to configure three material boxes based on the attribute data of three types of cut pieces: sticky lining, non-sticky lining, and sticky lining secondary fine cutting.

[0015] In some embodiments, the process compliance monitoring method for garment cutting further includes the following steps: controlling three material boxes through the MES manufacturing execution system to turn on the lights of the corresponding material boxes; after the workers place the picked up pieces into the corresponding material boxes according to the light prompts, obtaining feedback information that the pieces have been placed in the material boxes.

[0016] In some embodiments, the process compliance monitoring method for garment cutting further includes the following steps: communicatively connecting with the MES manufacturing execution system, obtaining the lighting information of the material box and the transportation transmission information of the material box on the hanging system sent by the MES manufacturing execution system; and sending the acquired serial number and the attribute information of the piece to the MES manufacturing execution system, and the MES manufacturing execution system controls the lighting of the material box according to the serial number and the attribute information of the piece.

[0017] In some embodiments, the process compliance monitoring method for garment cutting further includes the following steps: when the cutting piece executes the cutting task, the MES manufacturing execution system distributes a hanging basket to the cutting workstation according to the current task executed by the cutting table, and the hanging basket and the current order task are judged at one time; when the cutting table task is completed, the cutting piece information determined after identification is sent to the MES manufacturing execution system, and the MES manufacturing execution system controls the material box on the hanging basket to light up and identify and display the corresponding material box according to the cutting piece information, and the worker puts the picked cutting piece into the corresponding material box according to the light prompt. At this time, the material box and the cutting piece are bound once, and a precise delivery process task is completed at the same time.

[0018] In some embodiments, the process compliance monitoring method for garment cutting further includes the following steps: the MES manufacturing execution system executes the binding of the order with the hanging basket while delivering the hanging basket, and the binding of the cutting pieces with the material box. The QR code or barcode on the material box is bound once with the order cutting piece attribute information through the radio frequency scanning QR code or barcode on the hanging, so that when scanning the QR code and barcode, the cutting information of the current order cutting piece can be directly obtained.

[0019] In some embodiments, the process compliance monitoring method for clothing cutting also includes the following steps: after CAD completes the nesting drawing, the nesting file is sent to the cutting table for cutting execution, and the cutting piece attributes and serial number information in each bed cutting file in the nesting file are sent at the same time as a unified standard judgment basis for identifying grayscale values, comparing serial numbers, and identifying graphics and image motion capture.

[0020] According to another aspect of the present invention, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the process compliance monitoring method for garment cutting are performed.

[0021] According to another aspect of the present invention, there is also provided a process compliance monitoring device for garment cutting, comprising:

[0022] Memory, for storing software applications,

[0023] The processor is used to execute the software application program, and each program of the software application program correspondingly executes the steps of the process compliance monitoring method for garment cutting.

[0024] According to another aspect of the present invention, a process compliance monitoring system for garment cutting is also provided, wherein the process compliance monitoring system for garment cutting comprises a recognition and judgment system, a CAD nesting system, a cutting system and an MES manufacturing execution system, wherein the CAD nesting system will send the cutting file to the recognition and judgment system and the MES manufacturing execution system after completing the nesting, and after the cutting task of the cutting system is completed, the information that the cutting task has been completed is sent to the recognition and judgment system, and the recognition and judgment system performs a judgment on the picking action of the cutting piece and a judgment on the grayscale value matching. When the recognition and judgment system completes the two recognition and judgments, the task of picking up the cutting piece is terminated, and the serial number of the determined cutting piece and the cutting piece attribute information obtained are sent to the MES manufacturing execution system.

[0025] In some embodiments, the recognition and judgment system includes a first judgment module for the cutting piece picking action and a second judgment module for grayscale value matching, wherein the first judgment module for the cutting piece picking action is used to perform cutting piece picking action judgment to determine whether the picking action is cutting piece picking; when the picking action is judged to be a cutting piece picking action, the second judgment module for grayscale value matching performs grayscale value matching judgment, and the second judgment module for grayscale value matching obtains and compares the grayscale value of the felt color in the cutting piece picking area and the grayscale value of the cutting piece area in the cutting file to determine whether the grayscale values ​​of the two match, thereby obtaining information about the cutting piece in the cutting file.

[0026] In some embodiments, the recognition and judgment system also includes an action specification standardization module for standardizing the action of picking up pieces; the action specification standardization module is also configured to perform AI graphic image comparison and dark computing recognition steps, collect gesture pictures and action information of workers picking up pieces and operating work, implant standard action graphic images of picking up pieces, establish a standard action graphic image database of picking up pieces, and perform graphic marking positioning and action image tracking processing on the pictures and action information of these picking up pieces, wherein the action graphic image database includes single and double-handed reaching actions, double-handed picking actions, and double-handed retracting action information.

[0027] In some embodiments, the recognition and judgment system is communicatively connected to a high-frequency camera disposed above the cutting area of ​​the cutting table to obtain hand motion information captured by the high-frequency camera.

[0028] In some embodiments, images of workers' gestures and movements of picking up pieces and operating the pieces are collected in advance, and these images and movements of picking up pieces are subjected to graphic marking positioning and motion image tracking processing, and single-handed and double-handed reaching actions, double-handed picking actions, and double-handed retracting actions are used as judgment conditions for judging whether the workers pick up pieces for precise delivery in the first judgment module of the piece picking action, and whether the picking action is piece picking is judged, and the picked pieces are identified based on the piece attributes sent by the CAD nesting system.

[0029] In some embodiments, the grayscale value of the felt color on the cutting table is pre-set in the recognition and judgment system. When the worker removes the cut piece, the felt color is exposed. The color of the felt is extracted by a high-frequency camera and compared with the grayscale value in the recognition and judgment system to obtain information about the cut piece in the cutting file.

[0030] In some embodiments, when the CAD nesting system executes typesetting, three piece attributes are set for each piece in each cutting file, namely, glued lining, non-glue lining, and glued lining secondary fine cutting, and each piece of clothing is numbered, and the number is a serial number.

[0031] In some embodiments, the CAD nesting system is further configured to: collect clothing order size information, perform variations on the corresponding templates, generate personalized samples for each customer corresponding to the clothing order, and then perform nesting, using fabric width, shrinkage, pattern, whether the lining is glued or not in the process, whether secondary fine cutting is required after gluing, whether the cutting method is one-time fine cutting or one-time fine cutting plus secondary trimming, whether complex pieces need to be spliced ​​and set projection lines, generate serial numbers, and produce material reports. After the CAD nesting system completes the nesting, it sends the cutting file to the recognition and judgment system and the MES manufacturing execution system.

[0032] In some embodiments, after the CAD nesting system completes the nesting drawing, the nesting file is sent to the cutting table for cutting, and the nesting file is sent to the recognition and judgment system at the same time. The recognition and judgment system uses the attributes and serial numbers of the cutting pieces in each bed cutting file in the nesting file as the unified standard judgment basis for identifying the grayscale value, comparing the serial number, and identifying the graphics and image motion capture.

[0033] In some embodiments, when the cutting system controls the cutting table to perform the cutting task on the cutting piece, the MES manufacturing execution system distributes a hanging basket to the cutting workstation according to the current task performed by the cutting table, and the hanging basket is judged once with the current order task. When the cutting table task is completed, the identification and judgment system sends the cutting piece information determined after identification to the MES manufacturing execution system. The MES manufacturing execution system controls the material box on the hanging basket to light up and display the corresponding material box according to the cutting piece information, so that the worker puts the picked cutting piece into the corresponding material box according to the light prompt, thereby binding the material box with the cutting piece and completing a precise delivery process task at the same time; wherein the MES manufacturing execution system distributes the hanging basket, and the order is bound to the hanging basket, the cutting piece is bound to the material box, and the QR code or barcode on the material box is bound to the order cutting piece attribute information through the radio frequency scanning QR code or barcode on the hanging basket, so that when scanning the QR code and barcode, the cutting information of the current order can be directly obtained. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 The present invention is a flowchart of a method for monitoring compliance of a garment cutting process according to an embodiment of the present invention.

[0035] Figure 2 It is an example of actions in the process compliance monitoring method for garment cutting according to the above embodiment of the present invention.

[0036] Figure 3 It is an example of actions in the process compliance monitoring method for garment cutting according to the above embodiment of the present invention.

[0037] Figure 4 It is an example of actions in the process compliance monitoring method for garment cutting according to the above embodiment of the present invention.

[0038] Figure 5 It is a schematic diagram of a material box, a hanging basket, a wireless transmitter, and a light bulb controlled in the process compliance monitoring method for garment cutting according to the above embodiment of the present invention.

[0039] Figure 6 It is an order table in the process compliance monitoring method for garment cutting according to the above embodiment of the present invention.

[0040] Figure 7 It is a nesting diagram in the process compliance monitoring method for garment cutting according to the above embodiment of the present invention.

[0041] Figure 8 4 is a block diagram of the method for monitoring compliance of a garment cutting process according to the above embodiment of the present invention. DETAILED DESCRIPTION

[0042] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art can think of other obvious variations. The basic principles of the present invention defined in the following description can be applied to other embodiments, variations, improvements, equivalents, and other technical solutions that do not deviate from the spirit and scope of the present invention.

[0043] It is to be understood that the term "one" should be understood as "at least one" or "one or more", that is, in one embodiment, the number of an element may be one, while in another embodiment, the number of the element may be multiple, and the term "one" should not be understood as a limitation on the quantity.

[0044] like Figure 1 The flowchart of a method for monitoring process compliance of garment cutting based on the present invention is shown, which explains a solution for solving the problem proposed by the present invention, based on the computer program processing flow, by executing a computer program compiled according to the above flow to control or process the external or internal objects of the computer. The method for monitoring process compliance of garment cutting is an invention related to computer programs. Through the method for monitoring process compliance of garment cutting of the present invention, it is possible to use a computer system to cancel serial numbering, improve production efficiency, and refine the delivery of cut pieces. It can be understood that the "computer" referred to in the present invention not only refers to desktop computers, laptops, tablets and other devices, but also includes other intelligent electronic devices that can run according to programs and process data.

[0045] Specifically, Figure 1 As shown, the process compliance monitoring method for garment cutting includes the following steps:

[0046] The step of judging the cutting piece picking action receives the information that the cutting task has been completed, obtains the hand action information of the garment cutting worker and performs the cutting piece picking action recognition and judgment, and judges whether the worker's operation is a cutting piece picking action according to the recognition result, so as to judge the precise placement position of the cutting piece when the worker operates to pick up the cutting piece;

[0047] A gray value matching judgment step, obtaining and comparing the gray value of the felt color in the cutting piece picking area and the gray value of the cutting piece area in the cutting file, and judging whether the gray values ​​of the two match, thereby obtaining the information of the cutting piece in the cutting file; and

[0048] When the piece picking action judgment step is completed and the overlap comparison in the gray value matching judgment step is completed, the current piece picking task is ended and the piece attribute type information is sent to the MES manufacturing execution system.

[0049] Furthermore, the process compliance monitoring method for garment cutting comprises the following steps:

[0050] Execute the cutting step, obtain the attribute setting data of three types of cutting pieces: glued lining, non-glue lining, and glued lining secondary fine cutting for each cutting piece in each cutting file during CAD typesetting; number the cutting pieces of each garment and generate a serial number.

[0051] Furthermore, in order to perform accurate placement of cut pieces, the object of accurate placement projection is to configure three material boxes based on the attribute data of three types of cut pieces: adhesive lining, non-adhesive lining, and adhesive lining secondary fine cutting.

[0052] Furthermore, the process compliance monitoring method for clothing cutting includes the following steps: communicatively connecting to a high-frequency camera arranged above the cutting area of ​​the cutting table to obtain hand movement information captured by the high-frequency camera; preferably, the number and specifications of the high-frequency cameras are set according to the type of cutting, including four cameras with a specification of 1500*560, eight cameras with a specification of 90*1200, and four cameras with a specification of 90*600.

[0053] Furthermore, before the piece picking action judgment step, the following action specification standardization step is also included:

[0054] The action of picking up the cut pieces is standardized; the standardized actions include the action of reaching out with both hands, the action of picking up with hands, and the action of retracting with hands.

[0055] Furthermore, the process compliance monitoring method for clothing cutting includes the following steps: executing an AI graphic image comparison dark computing and identification step; specifically, pre-implanting the action graphic image of the standard picking piece according to the action specification standardization step, establishing an action graphic image database of the standard picking piece, and performing action image tracking on each graphic action image graphic marker point.

[0056] Furthermore, when performing motion recognition, the worker's hand shape and motion information captured by the high-frequency camera on the cutting table is obtained, and a judgment is performed to determine which piece the worker is picking up, and the serial number and piece attribute information of the piece are sent; the three material boxes are controlled by the MES manufacturing execution system to turn on the lights of the corresponding material boxes; when the worker places the picked up piece into the corresponding material box according to the light prompt, feedback information is obtained that the piece has been placed in the material box.

[0057] Furthermore, the process compliance monitoring method for garment cutting further comprises the following steps:

[0058] It is communicatively connected to the MES manufacturing execution system to obtain the lighting information of the material box and the transportation transmission information of the material box on the hanging system sent by the MES manufacturing execution system; and the serial number and attribute information of the piece obtained are sent to the MES manufacturing execution system. The MES manufacturing execution system controls the lighting of the material box according to the serial number and attribute information of the piece.

[0059] Preferably, if Figure 4 As shown, in a preferred embodiment, each garment is equipped with three material boxes 3, and the three material boxes 3 are placed in the same hanging basket 2. That is, one garment is equipped with one hanging bar and three material boxes. Furthermore, a QR code or bar code is placed around each material box, and a light bulb 4, a light bulb controller, a power supply, and a wireless transmitter 1 are arranged on both sides of the length of the material box. Thus, accurate delivery of the cut pieces can be achieved.

[0060] Further, in the grayscale value matching judgment step of the process compliance monitoring method for garment cutting, specifically, the grayscale value of the felt in the cutting piece picking area and the grayscale value of the cutting file cutting piece area are obtained. When the grayscale value of the felt in the cutting piece picking area matches the grayscale value of the cutting file cutting piece area corresponding to the recognition system, it is judged that the cutting piece has been picked up and taken away. That is to say, in a preferred embodiment, since the felt is provided on the cutting table, the color of the felt is gray. The grayscale value is #0000. The main function of the fixed grayscale value is to cooperate with the action recognition step. The fabric is laid on the table, which will change the recognition system's judgment on the color of the felt table. Furthermore, in addition to the comparison of the 6 standard actions in the action specification standardization step as the first judgment condition, it is also that after the cutting piece is picked up and taken away, the felt will be correspondingly leaked on the cutting table and the grayscale value of the felt in the cutting piece picking area will match the grayscale value of the cutting file cutting piece area corresponding to the recognition system, thereby forming a second judgment condition.

[0061] Furthermore, the process compliance monitoring method for garment cutting also includes the following steps: after receiving the information that the CAD has completed the nesting drawing, receiving the nesting file, sending the nesting file to the cutting bed to perform cutting, and at the same time, using the cutting piece attributes and serial number information in each bed cutting file in the nesting file as the unified standard judgment basis for identifying the gray value, comparing the serial number, and identifying the graphics and image motion capture. Thus, the gray value of the felt can be matched with the gray value of the cutting file area corresponding to the recognition system more accurately and uniformly.

[0062] It is worth mentioning that in order to perform motion recognition and fine-grained placement, it is necessary to cut the clothing fabric, set up a cutting table and a projector installed on the cutting table, and control the corresponding cutting execution system. Specifically, a projector is installed on the cutting table to facilitate the workers to pull the cloth when performing cutting tasks, and can guide the workers to place the cloth correctly within the cutting area.

[0063] It will be appreciated by those skilled in the art that the method of the present invention can be implemented by hardware, software, or a combination of hardware and software. The present invention can be implemented in a centralized manner in at least one computer system, or in a decentralized manner by different parts distributed in several interconnected computer systems. Any computer system or other device that can implement the method is applicable. The combination of common hardware and software can be a general-purpose computer system with a computer program installed, and the computer system is controlled by installing and executing the program to make it run according to the method.

[0064] For example, more specifically, in the preferred embodiment of the specific execution of each step of the process compliance monitoring method for garment cutting of the present invention, first, in the CAD software, the collected customer dimensions (providing a dimension table) are mutated into corresponding templates to generate the customer's personalized sample, and then the material is laid out. The purpose of the material laying out is to make rational planning, using fabric width, shrinkage, pattern, whether the lining is glued or not in the process, whether secondary fine cutting is required after gluing, whether the cutting method is one-time fine cutting or one-time fine cutting plus secondary trimming, whether complex pieces need to be spliced ​​to set projection lines, generate serial numbers, and produce material reports. After the material laying out is completed, the cutting file will be sent to the MES manufacturing execution system cutting table system and identification system.

[0065] Secondly, after receiving the cutting task, the worker downloads the cutting file, opens the file in the cutting system, pulls the cloth according to the order requirements, and performs cutting. After the cutting is completed, the worker will pick up the cut pieces and put them into the corresponding material box. The original production method is that after the workers complete the cutting, they classify and store the cut pieces according to their own judgment, and start to number the cut pieces. Through the process compliance monitoring method for clothing cutting of the present invention, the process of serial numbering can be directly cancelled.

[0066] Third, the recognition system will collect pictures and actions of workers' gestures when picking up pieces and performing related work through big data in advance, and perform graphic marking and motion image tracking on these pictures and actions of picking up pieces, and sort out six major types of actions, namely single and double-handed reaching actions, double-handed picking actions, and double-handed retracting actions as the first judgment conditions for workers to pick up pieces and deliver them accurately.

[0067] When the cutting task is completed, the cutting system will send the task completion information to the recognition system. After the worker picks up the piece, the high-frequency camera placed above the cutting table will extract the worker's operation action and judge whether the picking action is a piece picking according to the first judgment condition in the recognition system, and judge the identification information of the picked piece according to the piece attribute sent by CAD. The second judgment basis is that the recognition system pre-implants the grayscale value of the felt on the cutting table in the system. When the worker removes the piece, the color of the felt will leak out. The high-frequency camera will promptly extract the color of the felt and compare it with the grayscale value in the system to obtain the information of the piece in the cutting file. When the first judgment condition and the second judgment condition are completed, it means that the task of picking up the piece is completed, and the information of the piece is also determined. The determined piece attribute type information is sent to the MES manufacturing execution system.

[0068] Fourth, the control links of the MES manufacturing execution system mainly include the first part of the fabric hanging, and the second part is the lighting problem of the three material boxes of the hanging basket.

[0069] When the cutting piece performs the cutting task, the MES manufacturing execution system will distribute a hanging basket to the cutting workstation according to the current task performed by the cutting table. The hanging basket and the current order task will be judged at once. When the cutting table task is completed, the identification system will send the cutting piece information determined after identification to the MES manufacturing execution system. The MES manufacturing execution system will control the material box on the hanging basket to light up and identify the corresponding material box according to the cutting piece information. The worker will put the picked cutting piece into the corresponding material box according to the light prompt. At this time, the material box and the cutting piece are bound once, and the process task of precise delivery is completed at the same time. Here, when the MES manufacturing execution system distributes the hanging basket, the order is bound to the hanging basket, and the cutting piece is bound to the material box. The QR code or barcode on the material box is also bound to the order cutting piece attribute information through the radio frequency scanning QR code or barcode on the hanging. When scanning the QR code and barcode, the cutting information of the current order cutting piece will be directly understood.

[0070] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided in the form of methods, systems or computer program products. Therefore, the present invention may take the form of an all-hardware embodiment, an all-software embodiment, or an embodiment combining software and hardware.

[0071] A typical combination of hardware and software may be a general-purpose computer system with a computer program. When the program is loaded and executed, it controls the computer system so that the method disclosed in the present invention is performed.

[0072] The present invention may be embedded in a computer program product, which includes all the features that enable the method described herein to be implemented. The computer program product is contained in one or more computer-readable storage media, and the computer-readable storage medium has a computer-readable program code contained therein. According to another aspect of the present invention, a computer-readable storage medium is also provided, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the method of the present invention can be performed. Computer storage media is a medium in a computer memory for storing a certain discontinuous physical quantity. Computer storage media include, but are not limited to, semiconductors, disk storage, magnetic cores, magnetic drums, magnetic tapes, laser disks, etc. It can be understood by those skilled in the art that computer storage media are not limited to the aforementioned examples, and the aforementioned examples are merely examples and are not limited to the present invention.

[0073] According to another aspect of the present invention, there is also provided a process compliance monitoring device for garment cutting, the device comprising: a software application, a memory for storing the software application, and a processor for executing the software application. Each program of the software application can correspondingly execute the steps of the process compliance monitoring method for garment cutting of the present invention.

[0074] According to another aspect of the present invention, a process compliance monitoring system for garment cutting is also provided. The process compliance monitoring system for garment cutting can reduce labor costs, reduce the difficulty of workers' operation, and improve production efficiency through the production mode of one piece, one batch, one person, one hanging basket, one person, one process, and one piece, one package. It can be used in the garment cutting process in the intelligent production of high-end customized clothing, solve the problem of canceling serial numbers, improve production efficiency, and refine the delivery of cut pieces. The aforementioned process compliance monitoring method for garment cutting of the present invention can also be applied to the process compliance monitoring system for garment cutting.

[0075] Specifically, the process compliance monitoring system for garment cutting includes an identification and judgment system, a CAD nesting system, a cutting system and an MES manufacturing execution system. After the CAD nesting system completes the nesting, it will send the cutting file to the identification and judgment system and the MES manufacturing execution system. After the cutting task of the cutting system is completed, the information that the cutting task has been completed is sent to the identification and judgment system. The identification and judgment system performs a judgment on the picking action of the cutting piece and a judgment on the gray value matching. When the identification and judgment system completes the two identification judgments, it ends the task of picking up the cutting piece at that time, and sends the obtained serial number of the determined cutting piece and the cutting piece attribute information to the MES manufacturing execution system.

[0076] Furthermore, the identification and judgment system includes a first judgment module for the cutting piece picking action and a second judgment module for grayscale value matching. The first judgment module for the cutting piece picking action is used to execute the cutting piece picking action judgment to determine whether the picking action is the cutting piece picking; when the picking action is judged to be the cutting piece picking action, the second judgment module for grayscale value matching performs the grayscale value matching judgment. The second judgment module for grayscale value matching obtains and compares the grayscale value of the felt color in the cutting piece picking area and the grayscale value of the cutting piece area in the cutting file to determine whether the grayscale values ​​of the two match and obtain the information of the cutting piece in the cutting file.

[0077] Furthermore, the recognition and judgment system also includes an action specification standardization module, which is used to standardize the action of picking up the pieces; the action specification standardization module is also configured to execute AI graphic image comparison and dark calculation recognition steps, collect gesture pictures and action information of workers picking up pieces and operating work, implant standard action graphic images of picking up pieces, establish a standard action graphic image database of picking up pieces, and perform graphic marking positioning and action image tracking processing on the pictures and action information of these picking up pieces, wherein the action graphic image database includes single and double-handed reaching actions, double-handed picking actions, and double-handed retracting action information.

[0078] Furthermore, the recognition and judgment system is communicatively connected to a high-frequency camera disposed above the cutting area of ​​the cutting table to obtain hand movement information captured by the high-frequency camera.

[0079] Furthermore, gesture pictures and actions of workers picking up pieces and operating the work are collected in advance, and these pictures and actions of picking up pieces are subjected to graphic marking positioning and motion image tracking processing, and single-handed and double-handed reaching actions, double-handed picking actions, and double-handed retracting actions are used as judgment conditions for judging whether the workers pick up pieces for precise delivery in the first judgment module of the piece picking action, and whether the picking action is piece picking is judged, and the picked piece is identified according to the piece attributes sent by the CAD nesting system.

[0080] Furthermore, the grayscale value of the felt color on the cutting table is set in advance in the recognition and judgment system. When the worker removes the cut piece, the felt color is exposed. The color of the felt is extracted by a high-frequency camera and compared with the grayscale value in the recognition and judgment system, thereby obtaining information about the cut piece in the cutting file.

[0081] Furthermore, when the CAD nesting system executes typesetting, three properties of each piece in each cutting file are set, namely, interlining, non-interlining, and interlining secondary fine cutting, and each piece of clothing is numbered, which is a serial number.

[0082] Furthermore, the CAD nesting system is also configured to: collect clothing order size information, perform variations on the corresponding templates, generate personalized samples for each customer corresponding to the clothing order, and then perform nesting, using fabric width, shrinkage, pattern, whether the lining is glued or not in the process, whether secondary fine cutting is required after gluing, whether the cutting method is one-time fine cutting or one-time fine cutting plus secondary trimming, whether complex pieces need to be spliced ​​and set projection lines, generate serial numbers, and produce material reports. After the CAD nesting system completes the nesting, it sends the cutting file to the recognition and judgment system and the MES manufacturing execution system.

[0083] Furthermore, after the CAD nesting system completes the nesting drawing, it sends the nesting file to the cutting table for cutting, and at the same time sends the nesting file to the recognition and judgment system. The recognition and judgment system uses the cutting piece attributes and serial numbers in each bed cutting file in the nesting file as the unified standard judgment basis for identifying the grayscale value, comparing the serial numbers, and identifying graphics and image motion capture.

[0084] Furthermore, when the cutting system controls the cutting table to perform the cutting task on the cutting piece, the MES manufacturing execution system distributes a hanging basket to the cutting workstation according to the current task performed by the cutting table, and the hanging basket and the current order task are judged once. When the cutting table task is completed, the identification and judgment system sends the cutting piece information determined after identification to the MES manufacturing execution system. The MES manufacturing execution system controls the material box on the hanging basket to light up the corresponding material box according to the cutting piece information, so that the worker puts the picked cutting piece into the corresponding material box according to the light prompt, thereby binding the material box and the cutting piece once, and completing a precise delivery process task at the same time; wherein the MES manufacturing execution system distributes the hanging basket, and the order is bound to the hanging basket, the cutting piece is bound to the material box, and the QR code or barcode on the material box is bound to the order cutting piece attribute information through the radio frequency scanning QR code or barcode on the hanging basket, so that when scanning the QR code and barcode, the cutting information of the current order can be directly obtained.

[0085] It will be appreciated by those skilled in the art that the present invention has been described with reference to the flowcharts and / or block diagrams of the methods, systems and computer program products according to the present invention. Each box in the flowchart and / or block diagram, and the combination of boxes in the flowchart and / or block diagram, can obviously be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions (the instructions are passed through the processor of the computer or other programmable data processing device) generate a device for implementing the functions specified in one or more boxes of the flowchart and / or block diagram.

[0086] It should be understood by those skilled in the art that the embodiments of the present invention described above and shown in the accompanying drawings are only examples and do not limit the present invention. The purpose of the present invention has been fully and effectively achieved. The functional and structural principles of the present invention have been demonstrated and explained in the embodiments, and the embodiments of the present invention may be deformed or modified in any way without departing from the principles.

Claims

1. A method for monitoring compliance of a garment cutting process, characterized in that: The process compliance monitoring method for garment cutting includes the following identification steps: The step of judging the cutting piece picking action receives the information that the cutting task has been completed, obtains the hand action information of the garment cutting worker and performs the cutting piece picking action recognition and judgment, and judges whether the worker's operation is a cutting piece picking action according to the recognition result, so as to judge the precise placement position of the cutting piece when the worker operates to pick up the cutting piece; A gray value matching judgment step, obtaining and comparing the gray value of the felt color in the cutting piece picking area and the gray value of the cutting piece area in the cutting file, judging whether the gray values ​​of the two match, and obtaining the information of the cutting piece in the cutting file; and When the piece picking action judgment step is completed and the coincidence comparison in the gray value matching judgment step is completed, the current piece picking task is ended, and the piece attribute type information is sent to the MES manufacturing execution system; The process compliance monitoring method for garment cutting further comprises the following steps: an action standardization step, in which the action of picking up the cut pieces is standardized; The process compliance monitoring method for clothing cutting also includes the following steps: executing AI graphic image comparison and dark computing recognition steps, collecting gesture images and action information of workers picking up pieces and operating work, implanting standard action graphic images of picking up pieces, establishing a standard action graphic image database of picking up pieces, and performing graphic marking positioning and action image tracking processing on the pictures and action information of these picking up pieces.

2. The process compliance monitoring method for garment cutting as described in claim 1, wherein the standardized actions include single-handed and double-handed reaching actions, double-handed picking actions, and double-handed retracting actions.

3. The process compliance monitoring method for garment cutting according to claim 1, wherein the process compliance monitoring method for garment cutting further comprises the following steps: It is communicatively connected to a high-frequency camera disposed above the cutting area of ​​the cutting table to obtain hand movement information captured by the high-frequency camera.

4. The process compliance monitoring method for garment cutting according to claim 3, wherein the process compliance monitoring method for garment cutting further comprises the following steps: The attribute setting data of three types of cutting pieces, namely, glued lining, non-glue lining, and glued lining secondary fine cutting, are obtained for each cutting piece in each cutting file during CAD typesetting; the cutting pieces of each garment are numbered to generate serial numbers.

5. The process compliance monitoring method for garment cutting according to claim 4, wherein the process compliance monitoring method for garment cutting further comprises the following steps: The clothing fabrics are cut, a cutting table and a projector installed on the cutting table are set, and the corresponding cutting execution system is controlled, wherein the object of the precise projection is to configure three material boxes based on the attribute data of the three types of cutting pieces: sticky lining, non-sticky lining, and sticky lining secondary fine cutting.

6. The process compliance monitoring method for garment cutting according to claim 5, wherein the process compliance monitoring method for garment cutting further comprises the following steps: The MES manufacturing execution system controls the three material boxes to turn on the lights of the corresponding material boxes; After the worker places the picked-up pieces into the corresponding material box according to the light prompt, feedback information is obtained that the pieces have been placed in the material box.

7. The process compliance monitoring method for garment cutting according to claim 5, wherein the process compliance monitoring method for garment cutting further comprises the following steps: It is communicatively connected to the MES manufacturing execution system to obtain the lighting information of the material box and the transportation transmission information of the material box on the hanging system sent by the MES manufacturing execution system; and the serial number and attribute information of the piece obtained are sent to the MES manufacturing execution system. The MES manufacturing execution system controls the lighting of the material box according to the serial number and attribute information of the piece.

8. The process compliance monitoring method for garment cutting according to claim 5, wherein the process compliance monitoring method for garment cutting further comprises the following steps: When the cutting piece executes the cutting task, the MES manufacturing execution system distributes a hanging basket to the cutting workstation according to the current task executed by the cutting table, and the hanging basket and the current order task are judged at the same time; when the cutting table task is completed, the cutting piece information determined after identification is sent to the MES manufacturing execution system, and the MES manufacturing execution system controls the material box on the hanging basket to light up and identify and display the corresponding material box according to the cutting piece information. The worker puts the picked up cutting piece into the corresponding material box according to the light prompt. At this time, the material box and the cutting piece are bound once, and the process task of precise delivery is completed at the same time.

9. The process compliance monitoring method for garment cutting according to claim 8, wherein the process compliance monitoring method for garment cutting further comprises the following steps: The MES manufacturing execution system distributes the hanging basket and binds the order to the hanging basket, and the cut pieces to the material box. The QR code or barcode on the material box is bound once with the order cut piece attribute information through the radio frequency scanning QR code or barcode on the hanging basket. When scanning the QR code and barcode, the cutting information of the current order cut piece can be directly obtained.

10. The process compliance monitoring method for garment cutting according to any one of claims 1 to 9, wherein the process compliance monitoring method for garment cutting further comprises the following steps: After CAD completes the nesting drawing, it sends the nesting file to the cutting table for cutting. At the same time, it sends the cutting piece attributes and serial number information in each bed cutting file in the nesting file as a unified standard judgment basis for identifying grayscale values, comparing serial numbers, and identifying graphics and image motion capture.

11. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the process compliance monitoring method for garment cutting as described in any one of claims 1 to 9 are performed.

12. A process compliance monitoring device for garment cutting, characterized in that: include: Memory, for storing software applications, A processor is used to execute the software application, and each program of the software application correspondingly executes the steps of the process compliance monitoring method for garment cutting as described in any one of claims 1 to 9.

13. A process compliance monitoring system for garment cutting, characterized in that: The process compliance monitoring system for garment cutting includes an identification and judgment system, a CAD nesting system, a cutting system and an MES manufacturing execution system, wherein the CAD nesting system will send the cutting file to the identification and judgment system and the MES manufacturing execution system after completing the nesting, and after the cutting task of the cutting system is completed, the information that the cutting task has been completed is sent to the identification and judgment system, and the identification and judgment system performs a judgment on the picking action of the cutting piece and performs a judgment on the gray value matching. When the identification and judgment system completes the two identification and judgments, it ends the current picking task of the cutting piece, and sends the obtained determined cutting piece serial number and cutting piece attribute information to the MES manufacturing execution system; wherein the identification and judgment system includes a first judgment module for the cutting piece picking action and a second judgment module for the gray value matching, and the first judgment module for the cutting piece picking action is used to perform a judgment on the cutting piece picking action to determine whether the picking action is a cutting piece picking; when the picking action is When it is judged as a piece picking action, the gray value matching second judgment module performs gray value matching judgment, and the gray value matching second judgment module obtains and compares the gray value of the felt color in the piece picking area and the gray value of the piece area in the cutting file, determines whether the gray values ​​of the two match, and obtains the information of the piece in the cutting file; wherein the recognition and judgment system also includes an action specification standardization module, which is used to perform standardization on the action of picking up the piece; the action specification standardization module is also configured to perform AI graphic image matching dark calculation recognition steps, collect gesture pictures and action information of workers picking up pieces and operating work, implant standard action graphic images of picking up pieces, establish a standard action graphic image database of picking up pieces, and perform graphic marking positioning and action image tracking processing on the pictures and action information of these picking up pieces, wherein the action graphic image database includes single and double-handed reaching actions, double-handed picking actions, and double-handed retracting actions. Information.

14. A process compliance monitoring system for garment cutting as described in claim 13, wherein the recognition and judgment system is communicatively connected to a high-frequency camera arranged above the cutting area of ​​the cutting table to obtain hand movement information captured by the high-frequency camera.

15. A process compliance monitoring system for garment cutting as described in claim 13, wherein images of workers' hand gestures and movements of picking up pieces and operating work are collected in advance, and these images and movements of picking up pieces are subjected to graphic marking positioning and motion image tracking processing, and single-handed and double-handed reaching actions, double-handed picking actions, and double-handed retracting actions are used as judgment conditions for judging whether the worker picks up the pieces for precise delivery in the first judgment module of the piece picking action, and whether the picking action is piece picking is judged, and the picked pieces are identified according to the piece attributes sent by the CAD nesting system.

16. A process compliance monitoring system for garment cutting as described in claim 13, wherein the grayscale value of the color of the felt on the cutting table is pre-set in the identification and judgment system, and when the worker removes the cutting piece, the color of the felt is exposed, and the color of the felt is extracted by a high-frequency camera and compared with the grayscale value in the identification and judgment system, thereby obtaining the information of the cutting piece in the cutting file.

17. A process compliance monitoring system for garment cutting as described in claim 13, wherein when the CAD nesting system executes typesetting, three piece attributes of gluing, non-gluing, and gluing secondary fine cutting are set for each piece in each cutting file, and the pieces of each garment are numbered, and the number is a serial number.

18. A process compliance monitoring system for garment cutting as described in claim 13, wherein the CAD nesting system is further configured to: collect garment order size information, perform variations on the corresponding templates, generate personalized samples for each customer corresponding to the garment order, and then perform nesting, using fabric width, shrinkage, pattern, whether the lining is glued or not in the process, whether secondary fine cutting is required after gluing, whether the cutting method is one-time fine cutting or one-time fine cutting plus secondary trimming, whether complex pieces need to be spliced ​​and set projection lines, generate serial numbers, and produce material reports. After the CAD nesting system completes the nesting, it sends the cutting file to the recognition and judgment system and the MES manufacturing execution system.

19. A process compliance monitoring system for garment cutting as described in any one of claims 13 to 18, wherein after the CAD nesting system completes the nesting drawing, the nesting file is sent to the cutting table for cutting, and the nesting file is sent to the recognition and judgment system at the same time, and the recognition and judgment system uses the attributes and serial numbers of the cutting pieces in each bed cutting file in the nesting file as a unified standard judgment basis for identifying grayscale values, comparing serial numbers, and identifying graphics and image motion capture.

20. A process compliance monitoring system for garment cutting as claimed in any one of claims 13 to 18, wherein when the cutting system controls the cutting table to perform the cutting task on the cutting pieces, the MES manufacturing execution system distributes a hanging basket to the cutting workstation according to the current task performed by the cutting table, and the hanging basket and the current order task are judged once. When the cutting table task is completed, the identification and judgment system sends the information of the cutting pieces determined after identification to the MES manufacturing execution system, and the MES manufacturing execution system controls the material box on the hanging basket to light up and display the corresponding material box according to the cutting piece information, so that the worker puts the picked-up cutting pieces into the corresponding material box according to the light prompt, so that the material box and the cutting pieces are bound once, and the process task of accurate delivery is completed at the same time; wherein when the MES manufacturing execution system distributes the hanging basket, the order is bound to the hanging basket, the cutting pieces are bound to the material box, and the QR code or barcode on the material box is bound to the order cutting piece attribute information through the radio frequency scanning QR code or barcode on the hanging basket, so that when scanning the QR code and barcode, the cutting information of the current order is directly obtained.

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