WO2022036804A1 - 一种柔性材料智能连续加工控制方法及设备 - Google Patents

一种柔性材料智能连续加工控制方法及设备 Download PDF

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WO2022036804A1
WO2022036804A1 PCT/CN2020/117512 CN2020117512W WO2022036804A1 WO 2022036804 A1 WO2022036804 A1 WO 2022036804A1 CN 2020117512 W CN2020117512 W CN 2020117512W WO 2022036804 A1 WO2022036804 A1 WO 2022036804A1
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contour
format
module
processed
format file
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French (fr)
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邓耀华
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Guangdong University of Technology
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Guangdong University of Technology
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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Program-control systems
    • G05B19/02—Program-control systems electric
    • G05B19/18—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of program data in numerical form
    • G05B19/4155—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of program data in numerical form characterised by program execution, i.e. part program or machine function execution, e.g. selection of a program
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/10—Text processing
    • G06F40/103—Formatting, i.e. changing of presentation of documents
    • G06F40/109—Font handling; Temporal or kinetic typography
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0004—Industrial image inspection
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N21/88—Investigating the presence of flaws or contamination
    • G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/10—Text processing
    • G06F40/12—Use of codes for handling textual entities
    • G06F40/151—Transformation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/40—Robotics, robotics mapping to robotics vision
    • G05B2219/40052—Deform, bend flexible material
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30108—Industrial image inspection
    • G06T2207/30124—Fabrics; Textile; Paper
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P80/00—Climate change mitigation technologies for sector-wide applications
    • Y02P80/40—Minimising material used in manufacturing processes
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Definitions

  • the present application relates to the technical field of intelligent numerical control, and in particular, to an intelligent continuous processing control method and equipment for flexible materials.
  • Flexible materials refer to materials that have a certain degree of softness, flexibility, and can be deformed without losing performance, generally including clothing fabrics, leather, plastic films, etc. Flexible materials are widely used in automotive, medical, aerospace, apparel, packaging and other industries and are an integral part of daily life.
  • the cutting process of flexible materials includes three parts: scanning identification, sheet typesetting, and sheet cutting. Among them, scanning detection is to collect the outer contour and defect contour of the flexible material to be processed.
  • flexible materials, such as leather have different external dimensions and specifications, and the process of making leather from leather will go through more than a dozen large and small processes, so that various kinds of leather materials are inevitably left on the surface.
  • Sheet typesetting is to scientifically and reasonably arrange the pieces according to the outer contour and defect contour of the sheet, in order to maximize the use of materials. Therefore, scientific typesetting is also an important means to improve the economic efficiency of production enterprises to improve the utilization rate of flexible materials. one of the ways.
  • the flexible material cutting process is that the CNC cutting machine cuts the typesetting pieces from the sheet material according to the planned path.
  • the present application provides an intelligent continuous processing control method and equipment for flexible materials, which are used to solve the problems in the prior art that in the process of processing flexible materials, the compatibility of documents between the equipment of various manufacturers is poor and the production process is discontinuous. , leading to technical problems of reduced efficiency and precision in the production of flexible materials.
  • a first aspect of the present application provides an intelligent continuous processing control method for flexible materials, and the processing control method includes the following steps:
  • S4 Typesetting the vector data format file of the contour information to generate the graphic format file of the contour to be processed
  • S6 The graphic language format file of the contour to be processed performs trajectory optimization according to the contour to be processed, and generates an industry-standard HPGL instruction for trajectory optimization;
  • the typesetting process is specifically:
  • Synthesize multi-dimensional information such as outer contour, defect contour, and cut piece to avoid defect contour and perform automatic typesetting of outer contour.
  • the S2 specifically includes:
  • the outer contour and defect contour of the image of the flexible material are identified and extracted, and the outer contour map and the defect contour map are obtained.
  • the collection process in the S1 specifically includes:
  • the flexible material is acquired by a line scan camera with a preset scanning range and a preset resolution.
  • the preset scanning range is 2m ⁇ 2m, and the preset resolution is 0.06mm/pixel
  • the format of the image of the flexible material includes JPG format, PNG format, GIF format, BMP format, TIF format and PSD format.
  • the vector data format of the vector data format file of the outline information includes DXF format, DWG format, DWT format and DWS format;
  • the graphic format of the graphic format file of the contour to be processed includes CGM format and CNS format;
  • the graphic language formats in the graphic language format file of the contour to be processed include: HPGL format, PLT format and HPG format.
  • the embodiment of the present invention also provides an intelligent continuous processing control device for flexible materials, the processing control device includes an image acquisition module, an outer contour extraction module, a defect contour extraction module, a contour file conversion module, a sheet typesetting system module, and a format conversion module. , Trajectory optimization system module, HPGL instruction generation module, multi-core control module and motion execution system;
  • the image acquisition module is used for image acquisition of the flexible material placed on the conveying platform, and conveys the acquired image of the flexible material to the outer contour extraction module and the defect contour extraction module;
  • the outer contour extraction module is used to extract the outer contour of the received flexible material image, and send the extracted outer contour to the contour file conversion module;
  • the defect contour extraction module is used to extract the defect contour of the received flexible material image, and send the extracted defect contour to the contour file conversion module;
  • the contour file conversion module is used for merging the received outer contour and defect contour, generating a vector data format file of contour information and sending the vector data format file of contour information to the sheet typesetting system module;
  • the sheet typesetting system module is used to automatically typeset the outer contour and the defect contour in the vector data format file of the contour information by synthesizing the outer contour, the defect contour, the cut piece and other multi-dimensional information to avoid the defect contour and the outer contour, and generate the outline of the contour to be processed.
  • the format conversion module is used to convert the received graphic format file of the contour to be processed, generate the graphic language format file of the contour to be processed, and send the graphic language format file of the contour to be processed to the trajectory optimization system module;
  • the trajectory optimization system module is used to optimize the trajectory of the received graphic language format file of the contour to be processed according to the contour to be processed, generate processing trajectory information, and send the processing trajectory information to the HPGL command generation module;
  • the HPGL command generation module is used to generate the industry-standard HPGL command from the received processing optimization trajectory information and send the industry-standard HPGL command to the multi-core control module;
  • the multi-core control module is used to compile industry standard HPGL instructions, generate control signals and send the control signals to the motion execution system;
  • the motion execution system is used to receive the control signal and cut the flexible material according to the control signal.
  • the processing control device further comprises a sheet material typesetting display module
  • the sheet material typesetting display module is used for acquiring and displaying typesetting information in the sheet material typesetting system module.
  • the multi-core control module is used for driving control of the motion execution system, receives HPGL instructions and drives the motion execution system to perform actions according to industry standard HPGL instructions.
  • the motion execution system includes a feeding and conveying platform for conveying flexible materials, an X-axis moving beam, a Y-axis moving seat and a cutting head, the X-axis moving beam is installed on the feeding and conveying platform, and the Y-axis
  • the moving seat is movably installed on the X-axis moving beam
  • the cutting head is movably installed on the Y-axis moving seat.
  • the embodiments of the present application have the following advantages:
  • the present application provides an intelligent continuous processing control method and device for flexible materials, which generates an outer contour map and a defect contour map through the collected images of the flexible material, and converts and merges the outer contour map and the defect contour map to generate contour information.
  • the vector data format file is typesetting according to the outer contour and defect contour of the vector data format file of the contour information, and the graphic format file of the contour to be processed is generated, and the graphic format file of the contour to be processed is converted into the graphic language format of the contour to be processed. file and optimize the trajectory to generate industry-standard HPGL instructions, compile the industry-standard HPGL instructions to generate control signals, and then send them to the motion execution system, and the motion execution system cuts according to the control signals.
  • Fig. 1 is a schematic flow chart of a flexible material intelligent continuous processing control method provided by an embodiment of the present application
  • Fig. 2 is a structural representation of a kind of flexible material intelligent continuous processing control equipment provided by the embodiment of the application;
  • FIG. 3 is another schematic structural diagram of a flexible material intelligent continuous processing control device provided in an embodiment of the present application.
  • the first embodiment of an intelligent continuous processing control method for flexible materials includes:
  • the collection process in the S1 specifically includes:
  • the flexible material is acquired by a line scan camera with a preset scanning range and a preset resolution.
  • the preset scanning range is 2m ⁇ 2m, and the preset resolution is 0.06mm/pixel.
  • the flexible material is placed on the conveying platform, and moves slowly through the line scan camera.
  • the line scan camera scans and collects the flexible material, and the image information of the flexible material can be obtained.
  • the format of the image of the flexible material is JPG format, PNG format, GIF format. format, BMP format, TIF format and PSD format;
  • the S2 specifically includes:
  • the outer contour and defect contour information of the image of the flexible material are identified and extracted, and the outer contour map and the defect contour map are obtained.
  • the convolutional network deep learning algorithm all outer contour features and defect contour features can be maximized, and the recognition and extraction accuracy can be improved.
  • the vector data format of the vector data format file of the outline information includes DXF format, DWG format, DWT format and DWS format.
  • S4 Typesetting the vector data format file of the contour information to generate the graphic format file of the contour to be processed
  • the graphic format of the graphic format file of the contour to be processed includes CGM format and CNS format
  • the graphic language formats in the graphic language format file for machining contours include HPGL format, PLT format and HPG format.
  • S6 The graphic language format file of the contour to be processed performs trajectory optimization according to the contour to be processed, and generates an industry-standard HPGL instruction for trajectory optimization;
  • control signals are generated to control the motion execution system.
  • the motion execution system receives the control signal to cut the flexible material.
  • the present invention also provides an intelligent continuous processing control device for flexible materials.
  • the processing control device includes an image acquisition module 100, an outer contour extraction module 120, a defect contour extraction module 130, and a contour file conversion module.
  • the image acquisition module 100 is used for image acquisition of the flexible material placed on the conveying platform, and conveys the acquired image of the flexible material to the outer contour extraction module 120 and the defect contour extraction module 130; wherein the image acquisition module 100 Preferably a line scan camera.
  • the outer contour extraction module 120 is configured to extract the outer contour of the received flexible material image, and send the extracted outer contour to the contour file conversion module 140;
  • the defect contour extraction module 130 is configured to extract the defect contour of the received flexible material image, and send the extracted defect contour to the contour file conversion module 140;
  • the contour file conversion module 140 is configured to merge the received outer contour and defect contour, generate a vector data format file of contour information, and send the vector data format file of contour information to the sheet typesetting system module;
  • the sheet typesetting system module 200 is used to automatically typeset the outer contour and the defect contour in the vector data format file of the contour information by synthesizing the outer contour, the defect contour, the cut piece and other multi-dimensional information to avoid the defect contour and the outer contour, and generate the contour to be processed. and send the graphic format file of the contour to be processed to the format conversion module 220;
  • the format conversion module 220 is configured to convert the received graphic format file of the contour to be processed, generate a graphic language format file of the contour to be processed, and send the graphic language format file of the contour to be processed to the trajectory optimization system module 300;
  • the trajectory optimization system module 300 is configured to perform trajectory optimization on the received graphic language format file of the contour to be processed according to the contour to be processed, generate processing trajectory information, and send the processing trajectory information to the HPGL instruction generation module 310;
  • the HPGL instruction generation module 310 is configured to generate an industry-standard HPGL instruction from the received processing optimization trajectory information, and send the industry-standard HPGL instruction to the multi-core control module 400;
  • the multi-core control module 400 is used for compiling industry standard HPGL instructions, generating control signals and sending the control signals to the motion execution system 410;
  • the motion execution system 410 is used for receiving the control signal and cutting the flexible material according to the control signal.
  • the processing control device further includes a sheet material typesetting display module 210;
  • the sheet material typesetting display module 210 is used to acquire and display typesetting information in the sheet material typesetting system module 200 .
  • the outline of the flexible material to be processed after the typesetting can be displayed by the sheet typesetting display module 210, so that the operator can observe and check, and avoid failure or typesetting problems.
  • the sheet material typesetting display module 210 is preferably a display screen, and the outline to be processed displayed in the sheet material typesetting display module 210 includes the outer outline, the defect outline, and the outline to be processed that needs to be cut for typesetting. Different colors to distinguish.
  • the multi-core control module is used for the drive control of the motion execution system, receives HPGL instructions and drives the motion execution system to perform actions according to industry standard HPGL instructions.
  • the motion execution system 410 includes a feeding and conveying platform 414 for conveying flexible materials, an X-axis moving beam 411 , a Y-axis moving seat 412 and a cutting head 413 , and the X-axis moving beam 411 is installed on the feeding and conveying platform 414
  • the Y-axis moving base 412 is movably installed on the X-axis moving beam 411
  • the cutting head 413 is movably installed on the Y-axis moving base 412 .
  • the motion execution system 410 controls the feeding and conveying platform 414 to convey the flexible material according to the control signal, the X-axis moving beam 411 moves to the position where the flexible material is to be cut, and the Y-axis moving base 412 drives the movement of the cutting head 413 to complete the cutting of the flexible material.

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Abstract

一种柔性材料智能连续加工控制方法及设备，通过采集到的柔性材料的图像生成外轮廓图和瑕疵轮廓图，对所述外轮廓图和瑕疵轮廓图进行转换合并，生成轮廓信息的矢量数据格式文件并根据轮廓信息的矢量数据格式文件的外轮廓和瑕疵轮廓进行排版，生成待加工轮廓的图形格式文件并将其转化为待加工轮廓的图形语言格式文件并进行轨迹优化生成工业标准的HPGL指令，将工业标准的HPGL指令进行编译生成控制信号后发送至运动执行系统，运动执行系统根据控制信号进行切割。解决了现有技术中在对柔性材料进行加工的过程中，各厂家的设备之间文件性兼容差和生产工艺不连续，导致柔性材料生产的效率和精度降低的技术问题。

Description

一种柔性材料智能连续加工控制方法及设备 技术领域
本申请涉及智能数控的技术领域，尤其涉及一种柔性材料智能连续加工控制方法及设备。
背景技术
柔性材料是指具备一定柔软度、柔韧性，可变形而不失去性能的材料，一般包括服装织物、皮革、塑料薄膜等。柔性材料在汽车、医疗、航空航天、服装、包装等行业广泛应用，是日常生活不可或缺的一部分。柔性材料的切割加工包括扫描识别，片料排版，片料切割三个部分，其中扫描检测是采集待加工柔性材料的外轮廓及瑕疵轮廓。由于在实际加工过程中，柔性材料比如说皮革，外形尺寸规格并不统一，且真皮制成皮革过程中会经过大大小小十几道工序，使得皮革材料表面不可避免地遗留各式各样的瑕疵，故需要提取出皮革外轮廓及瑕疵轮廓，为后序片料排版做准备。片料排版是根据片料的外轮廓和瑕疵轮廓将裁片科学、合理布置，以求最大限度地利用材料，故科学的排版对提高柔性材料的利用率也是生产企业经济效益提升的重要手段和途径之一。柔性材料切割加工是数控切割机按规划好的路径，从片料中切割已排版好的裁片。
目前，柔性材料加工过程中的扫描识别、片料排版、切割加工设备都是各自厂家生产单套设备，在对柔性材料进行加工的过程中，各厂家的设备之间文件性兼容差和生产工艺不连续，导致柔性材料生产的效率和精度降低。
发明内容
本申请提供了一种柔性材料智能连续加工控制方法及设备，用于解决现有技术中存在的在对柔性材料进行加工的过程中，各厂家的设备之间文件性兼容差和生产工艺不连续，导致柔性材料生产的效率和精度降低的技术问题。
有鉴于此，本申请第一方面提供了一种柔性材料智能连续加工控制方法，所述加工控制方法包括如下步骤：
S1：通过采集装置对置于输送平台上的柔性材料进行采集，获取柔性材料的图像；
S2：根据所述柔性材料的图像，生成外轮廓图和瑕疵轮廓图；
S3：分别将所述外轮廓图和瑕疵轮廓图进行转换合并，生成轮廓信息的矢量数据格式文件；
S4：对轮廓信息的矢量数据格式文件进行排版，生成待加工轮廓的图形格式文件；
S5：对所述待加工轮廓的图形格式文件进行转化，生成待加工轮廓的图形语言格式文件；
S6：所述待加工轮廓的图形语言格式文件根据待加工轮廓进行轨迹优化，生成轨迹优化的工业标准的HPGL指令；
S7：对轨迹优化的所述工业标准的HPGL指令进行编译，生成控制信号；
S8：将控制信号输送至运动执行系统，运动执行系统根据控制信号进行切割。
优选地，所述排版过程具体为：
综合外轮廓、瑕疵轮廓、裁片等多维信息规避瑕疵轮廓对外轮廓进行自动排版。
优选地，所述S2具体包括：
根据卷积网络深度学习算法对柔性材料的图像的外轮廓和瑕疵轮廓进行识别提取，获取外轮廓图和瑕疵轮廓图。
优选地，所述S1中的采集过程具体包括：
通过线阵扫描相机以预设扫描范围和与预设分辨率对柔性材料进行采集。
优选地，所述预设扫描范围为2m×2m，预设分辨率为0.06mm/pixel
优选地，所述柔性材料的图像的格式包括JPG格式、PNG格式、GIF格式、BMP格式、TIF格式和PSD格式。
所述轮廓信息的矢量数据格式文件的矢量数据格式包括DXF格式、DWG格式、DWT格式和DWS格式；
所述待加工轮廓的图形格式文件的图形格式包括CGM格式和CNS格式；
所述待加工轮廓的图形语言格式文件中的图形语言格式包括：HPGL格式、PLT格式和HPG格式。
本发明实施例还提供了柔性材料的智能连续加工控制设备，所述加工控制设备包括图像采集模块、外轮廓提取模块、瑕疵轮廓提取模块、轮廓文件转换模块、片料排版系统模块、格式转换模块、轨迹优化系统模块、HPGL指令生成模块、多核控制模块和运动执行系统；
所述图像采集模块用于对置于输送平台上的柔性材料进行图像采集，并将采集到的柔性材料图像输送至外轮廓提取模块和瑕疵轮廓提取模块；
所述外轮廓提取模块用于对接收到的柔性材料图像的外轮廓进行提取，并将提取到的外轮廓发送至轮廓文件转换模块；
所述瑕疵轮廓提取模块用于对接收到的柔性材料图像的瑕疵轮廓进行提取，并将提取到的瑕疵轮廓发送至轮廓文件转换模块；
所述轮廓文件转换模块用于对接收到的所述外轮廓和瑕疵轮廓进行合并，生成轮廓信息的矢量数据格式文件并将轮廓信息的矢量数据格式文件发送至片料排版系统模块；
所述片料排版系统模块用于对轮廓信息的矢量数据格式文件内的外轮廓和瑕疵轮廓综合外轮廓、瑕疵轮廓、裁片等多维信息规避瑕疵轮廓对外轮廓进行自动排版，生成待加工轮廓的图形格式文件并将待加工轮廓的图形格式文件发送至格式转换模块；
格式转换模块用于对接收到的所述待加工轮廓的图形格式文件进行转换，生成待加工轮廓的图形语言格式文件并将待加工轮廓的图形语言格式文件发送至轨迹优化系统模块；
轨迹优化系统模块用于将接收到的所述待加工轮廓的图形语言格式文件根据待加工轮廓进行轨迹优化，生成加工轨迹信息并将加工轨迹信息发送至HPGL指令生成模块；
HPGL指令生成模块用于将接收到的加工优化轨迹信息，生成工业标准的HPGL指令并将工业标准的HPGL指令发送至多核控制模块；
多核控制模块用于对工业标准的HPGL指令进行编译，生成控制信号并将控制信号发送至运动执行系统；
运动执行系统用于接收控制信号并根据控制信号对柔性材料进行切割。
优选地，所述加工控制设备还包括片料排版显示模块；
所述片料排版显示模块用于获取并显示片料排版系统模块中进行排版的信息。
优选地，所述多核控制模块用于运动执行系统的驱动控制，接收HPGL指令并根据工业标准的HPGL指令驱动运动执行系统执行动作。
优选地，所述运动执行系统包括用于输送柔性材料的送料输送平台、X轴移动横梁、Y轴移动座及切割机头，所述X轴移动横梁安装在送料输送平台上，所述Y轴移动座可移动的安装在X轴移动横梁上，所述切割机头可上下移动的安装在Y轴移动座上。
从以上技术方案可以看出，本申请实施例具有以下优点：
本申请提供的一种柔性材料智能连续加工控制方法及设备，通过采集到的柔性材料的图像生成外轮廓图和瑕疵轮廓图，对所述外轮廓图和瑕疵轮廓图进行转换合并，生成轮廓信息的矢量数据格式文件并根据轮廓信息的矢量数据格式文件的外轮廓和瑕疵轮廓进行排版，生成待加工轮廓的图形格式文件，所述待加工轮廓的图形格式文件转化为待加工轮廓的图形语言格式文件并进行轨迹优化生成工业标准的HPGL指令，将工业标准的HPGL指令进行编译生成控制信号后发送至运动执行系统，运动执行系统根据控制信号进行切割。解决了现有技术中存在的对柔性材料进行加工的过程中，工艺不连续导致柔性材料生产的效率和精度降低的技术问题。
附图说明
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动性的前提下，还可以根据这些附图获得其它的附图。
图1为本申请实施例提供的一种柔性材料智能连续加工控制方法的一个流程示意图；
图2为本申请实施例提供的一种柔性材料智能连续加工控制设备的一个 结构示意图；
图3为本申请实施例提供的一种柔性材料智能连续加工控制设备的另一个结构示意图；
具体实施方式
为了使本技术领域的人员更好地理解本申请方案，下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
为了便于理解，请参阅图1，本申请提供的一种柔性材料智能连续加工控制方法的实施例一，包括：
S1：通过采集装置对置于输送平台上的柔性材料进行采集，获取柔性材料的图像；
所述S1中的采集过程具体包括：
通过线阵扫描相机以预设扫描范围和与预设分辨率对柔性材料进行采集。
其中，所述预设扫描范围为2m×2m，预设分辨率为0.06mm/pixel。
柔性材料置于输送平台上，均速缓慢移动通过线阵扫描相机，线阵扫描相机对柔性材料进行扫描采集，能够得到柔性材料的图像信息，柔性材料的图像的格式JPG格式、PNG格式、GIF格式、BMP格式、TIF格式和PSD格式；
S2：根据所述柔性材料的图像，生成外轮廓图和瑕疵轮廓图；
所述S2具体包括：
根据卷积网络深度学习算法对柔性材料的图像的外轮廓和瑕疵轮廓信息进行识别提取，获取外轮廓图和瑕疵轮廓图。通过卷积网络深度学习算法能够最大限度地利用了所有外轮廓特征和瑕疵轮廓特征，提高了识别提取精度。
S3：分别将所述外轮廓图和瑕疵轮廓图进行转换合并，生成轮廓信息的 矢量数据格式文件；
将所述外轮廓图转化为外轮廓信息的矢量数据格式文件，将所述瑕疵轮廓图转化为瑕疵轮廓信息的矢量数据格式文件，根据外轮廓信息的矢量数据格式文件和瑕疵轮廓矢量数据格式文件进行合并成为轮廓信息的矢量数据格式文件。
其中，所述轮廓信息的矢量数据格式文件的矢量数据格式包括DXF格式、DWG格式、DWT格式和DWS格式。
S4：对轮廓信息的矢量数据格式文件进行排版，生成待加工轮廓的图形格式文件；
综合外轮廓、瑕疵轮廓、裁片等多维信息规避瑕疵轮廓对外轮廓进行自动排版，排版后生成了待加工轮廓的图形格式文件，通过自动排版使实现了柔性材料的利用率最大化的目的。其中，所述待加工轮廓的图形格式文件的图形格式包括CGM格式和CNS格式，
S5：对所述待加工轮廓的图形格式文件进行转化，生成待加工轮廓的图形语言格式文件；
由于生成的所述待加工轮廓的图形格式文件不能进行轨迹优化，因此，需要将所述待加工轮廓的图形格式文件转换成为待加工轮廓的图形语言格式文件才能进行轨迹优化，其中，所述待加工轮廓的图形语言格式文件中的图形语言格式包括HPGL格式、PLT格式和HPG格式。
S6：所述待加工轮廓的图形语言格式文件根据待加工轮廓进行轨迹优化，生成轨迹优化的工业标准的HPGL指令；
通过对所述待加工轮廓的图形语言格式文件内的柔性材料的待加工轮廓进行识别，并根据待加工轮廓来设定并优化加工轨迹，并生成控制系统能够进行编译的轨迹优化的工业标准的HPGL指令。
S7：对所述工业标准的HPGL指令进行编译，生成控制信号；
通过对轨迹优化的工业标准的HPGL指令进行编译，生成控制信号来控制运动执行系统。
S8：将控制信号输送至运动执行系统，运动执行系统根据控制信号进行切割。
运动执行系统接收到控制信号对柔性材料进行切割。
现有技术中，对柔性材料进行加工的过程中，各厂家的设备之间文件性兼容差和生产工艺不连续，导致柔性材料生产的效率和精度降低，通过本实施例的加工控制方法，能够通过柔性材料的图像、轮廓信息的矢量数据格式文件、待加工轮廓的图形格式文件、待加工轮廓的图形语言格式文件、轨迹优化的工业标准的HPGL指令和控制信号之间通过标准的转换，不同厂家设备系统的互联、互操作性的问题，提升了各厂家设备之间的文件兼容性以及文件的转换效率，提高轮廓提取精度、提高排版材料利用率，提高切割精度和切割效果。解决了对柔性材料进行加工的过程中，各厂家的设备之间文件性兼容差和生产工艺不连续，导致柔性材料生产的效率和精度降低的技术问题。
如图2和图3所示，本发明还提供了一种柔性材料智能连续加工控制设备，所述加工控制设备包括图像采集模块100、外轮廓提取模块120、瑕疵轮廓提取模块130、轮廓文件转换模块140、片料排版系统模块200、格式转换模块220、轨迹优化系统模块300、HPGL指令生成模块310、多核控制模块400和运动执行系统410；所述轮廓文件转换模块140与片料排版系统模块200之间通过以太网进行连接。
所述图像采集模块100用于对置于输送平台上的柔性材料进行图像采集，并将采集到的柔性材料图像输送至外轮廓提取模块120和瑕疵轮廓提取模块130；其中所述图像采集模块100优选为线阵扫描相机。
所述外轮廓提取模块120用于对接收到的柔性材料图像的外轮廓进行提取，并将提取到的外轮廓发送至轮廓文件转换模块140；
所述瑕疵轮廓提取模块130用于对接收到的柔性材料图像的瑕疵轮廓进行提取，并将提取到的瑕疵轮廓发送至轮廓文件转换模块140；
所述轮廓文件转换模块140用于对接收到的所述外轮廓和瑕疵轮廓进行合并，生成轮廓信息的矢量数据格式文件并将轮廓信息的矢量数据格式文件发送至片料排版系统模块；
所述片料排版系统模块200用于对轮廓信息的矢量数据格式文件内的外轮廓和瑕疵轮廓综合外轮廓、瑕疵轮廓、裁片等多维信息规避瑕疵轮廓对外 轮廓进行自动排版，生成待加工轮廓的图形格式文件并将待加工轮廓的图形格式文件发送至格式转换模块220；
格式转换模块220用于对接收到的所述待加工轮廓的图形格式文件进行转换，生成待加工轮廓的图形语言格式文件并将待加工轮廓的图形语言格式文件发送至轨迹优化系统模块300；
轨迹优化系统模块300用于将接收到的所述待加工轮廓的图形语言格式文件根据待加工轮廓进行轨迹优化，生成加工轨迹信息并将加工轨迹信息发送至HPGL指令生成模块310；
HPGL指令生成模块310用于将接收到的加工优化轨迹信息，生成工业标准的HPGL指令并将工业标准的HPGL指令发送至多核控制模块400；
多核控制模块400用于对工业标准的HPGL指令进行编译，生成控制信号并将控制信号发送至运动执行系统410；
运动执行系统410用于接收控制信号并根据控制信号对柔性材料进行切割。
解决了现有技术中存在的对柔性材料进行加工的过程中，工艺不连续导致柔性材料生产的效率和精度降低的技术问题。
其中，所述加工控制设备还包括片料排版显示模块210；
所述片料排版显示模块210用于获取并显示片料排版系统模块200中进行排版的信息。
通过片料排版显示模块210能够将排版后的柔性材料的待加工轮廓显示出来，以便操作人员进行观察核对，避免出现故障或者排版问题。所述片料排版显示模块210优先为显示屏，所述片料排版显示模块210中显示的待加工轮廓此轮廓中包含外轮廓、瑕疵轮廓、排版需切割的待加工轮廓，各类型轮廓会用不同的颜色区分。
其中，多核控制模块用于运动执行系统的驱动控制，接收HPGL指令并根据工业标准的HPGL指令驱动运动执行系统执行动作。
其中，所述运动执行系统410包括用于输送柔性材料的送料输送平台414、X轴移动横梁411、Y轴移动座412及切割机头413，所述X轴移动横梁411安装在送料输送平台414上，所述Y轴移动座412可移动的安装在X轴移动 横梁411上，所述切割机头413可上下移动的安装在Y轴移动座412上。
运动执行系统410根据控制信号控制送料输送平台414输送柔性材料、X轴移动横梁411移动至柔性材料待切割位置，Y轴移动座412带动切割机头413的运动完成对柔性材料的切割。
所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的系统，装置和单元的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
以上所述，以上实施例仅用以说明本申请的技术方案，而非对其限制；尽管参照前述实施例对本申请进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本申请各实施例技术方案的精神和范围。

Claims (10)

  1. 一种柔性材料智能连续加工控制方法，其特征在于，所述加工控制方法包括如下步骤：
    S1：通过采集装置对置于输送平台上的柔性材料进行采集，获取柔性材料的图像；
    S2：根据所述柔性材料的图像，生成外轮廓图和瑕疵轮廓图；
    S3：分别将所述外轮廓图和瑕疵轮廓图进行转换合并，生成轮廓信息的矢量数据格式文件；
    S4：对轮廓信息的矢量数据格式文件进行排版，生成待加工轮廓的图形格式文件；
    S5：对所述待加工轮廓的图形格式文件进行转化，生成待加工轮廓的图形语言格式文件；
    S6：所述待加工轮廓的图形语言格式文件根据待加工轮廓进行轨迹优化，生成轨迹优化的工业标准的HPGL指令；
    S7：对轨迹优化的所述工业标准的HPGL指令进行编译，生成控制信号；
    S8：将控制信号输送至运动执行系统，运动执行系统根据控制信号进行切割。
  2. 根据权利要求1所述的一种柔性材料智能连续加工控制方法，其特征在于，所述排版过程具体为：
    综合外轮廓、瑕疵轮廓、裁片等多维信息对轮廓信息的矢量数据格式文件内进行规避瑕疵轮廓及外轮廓的自动排版。
  3. 根据权利要求2所述的一种柔性材料智能连续加工控制方法，其特征在于，所述S2具体包括：
    根据卷积网络深度学习算法对柔性材料的图像的外轮廓和瑕疵轮廓进行识别提取，获取外轮廓图和瑕疵轮廓图。
  4. 根据权利要求3所述的一种柔性材料智能连续加工控制方法，其特征在于，所述S1中的采集过程具体包括：
    通过线阵扫描相机以预设扫描范围和与预设分辨率对柔性材料进行采集。
  5. 根据权利要求4所述的一种柔性材料智能连续加工控制方法，其特征 在于，
    所述预设扫描范围为2m×2m，预设分辨率为0.06mm/pixel。
  6. 根据权利要求5所述的一种柔性材料智能连续加工控制方法，其特征在于，所述柔性材料的图像的格式包括JPG格式、PNG格式、GIF格式、BMP格式、TIF格式和PSD格式；
    所述轮廓信息的矢量数据格式文件的矢量数据格式包括DXF格式、DWG格式、DWT格式和DWS格式；
    所述待加工轮廓的图形格式文件的图形格式包括CGM格式和CNS格式；
    所述待加工轮廓的图形语言格式文件中的图形语言格式包括HPGL格式、PLT格式和HPG格式。
  7. 一种柔性材料智能连续加工控制设备，其特征在于，所述加工控制设备包括图像采集模块、外轮廓提取模块、瑕疵轮廓提取模块、轮廓文件转换模块、片料排版系统模块、格式转换模块、轨迹优化系统模块、HPGL指令生成模块、多核控制模块和运动执行系统；
    所述图像采集模块用于对置于输送平台上的柔性材料进行图像采集，并将采集到的柔性材料图像输送至外轮廓提取模块和瑕疵轮廓提取模块；
    所述外轮廓提取模块用于对接收到的柔性材料图像的外轮廓进行提取，并将提取到的外轮廓发送至轮廓文件转换模块；
    所述瑕疵轮廓提取模块用于对接收到的柔性材料图像的瑕疵轮廓进行提取，并将提取到的瑕疵轮廓发送至轮廓文件转换模块；
    所述轮廓文件转换模块用于对接收到的所述外轮廓和瑕疵轮廓进行合并，生成轮廓信息的矢量数据格式文件并将轮廓信息的矢量数据格式文件发送至片料排版系统模块；
    所述片料排版系统模块用于对轮廓信息的矢量数据格式文件内的外轮廓和瑕疵轮廓综合外轮廓、瑕疵轮廓、裁片等多维信息规避瑕疵轮廓及外轮廓进行自动排版，生成待加工轮廓的图形格式文件并将待加工轮廓的图形格式文件发送至格式转换模块；
    格式转换模块用于对接收到的所述待加工轮廓的图形格式文件进行转换，生成待加工轮廓的图形语言格式文件并将待加工轮廓的图形语言格式文 件发送至轨迹优化系统模块；
    轨迹优化系统模块用于将接收到的所述待加工轮廓的图形语言格式文件根据待加工轮廓进行轨迹优化，生成加工轨迹信息并将加工轨迹信息发送至HPGL指令生成模块；
    HPGL指令生成模块用于将接收到的加工优化轨迹信息，生成工业标准的HPGL指令并将工业标准的HPGL指令发送至多核控制模块；
    多核控制模块用于对工业标准的HPGL指令进行编译，生成控制信号并将控制信号发送至运动执行系统；
    运动执行系统用于接收控制信号并根据控制信号对柔性材料进行切割。
  8. 根据权利要求7所述的一种柔性材料智能连续加工控制设备，其特征在于，所述加工控制设备还包括片料排版显示模块；
    所述片料排版显示模块用于获取并显示片料排版系统模块中进行排版的信息。
  9. 根据权利要求8所述的一种柔性材料智能连续加工控制设备，其特征在于，多核控制模块用于运动执行系统的驱动控制，接收HPGL指令并根据工业标准的HPGL指令驱动运动执行系统执行动作。
  10. 根据权利要求9所述的一种柔性材料智能连续加工控制设备，其特征在于，
    所述运动执行系统包括用于输送柔性材料的送料输送平台、X轴移动横梁、Y轴移动座及切割机头，所述X轴移动横梁安装在送料输送平台上，所述Y轴移动座可移动的安装在X轴移动横梁上，所述切割机头可上下移动的安装在Y轴移动座上。
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN120047323A (zh) * 2025-02-08 2025-05-27 东莞市光博士激光科技股份有限公司 半自动化排版图生成方法

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112464950B (zh) * 2020-11-23 2023-08-08 武汉舜陈技术有限公司 一种基于柔性材料的图形识别定位方法
CN112440315A (zh) * 2020-11-26 2021-03-05 广州喜和喜精密科技有限公司 一种基于视觉提取轮廓的切割机及其使用方法
CN113359613A (zh) * 2021-07-05 2021-09-07 东莞市枫盛机械制造有限公司 一种成型方法、图形输入控制系统及智能线材成型设备
CN113414819B (zh) * 2021-08-24 2021-11-26 航天云网数据研究院(广东)有限公司 一种基板材料的处理方法、系统、电子设备及存储介质
CN114905379B (zh) * 2022-06-07 2023-09-19 众芯汉创（北京）科技有限公司 一种风力发电叶片局部缺陷智能修复装置
CN116051587B (zh) * 2023-02-13 2023-08-11 中国矿业大学 一种用于目标检测的运动轨迹生成方法

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0880698A1 (en) * 1996-02-09 1998-12-02 Unisearch Limited Visual inspection system for leather hide
CN1986835A (zh) * 2006-12-25 2007-06-27 浙江大学 功能集成式数控自动化皮革裁剪方法
CN102508938A (zh) * 2011-09-23 2012-06-20 东华大学 一种二维不规则皮革自动排样裁剪方法
CN105225225A (zh) * 2015-08-31 2016-01-06 臻雅科技温州有限公司 一种基于机器视觉的皮革自动划线方法和装置
CN107058642A (zh) * 2017-02-15 2017-08-18 佛山世科智能技术有限公司 一种柔性皮革切片下料装置及实现方法
CN110298835A (zh) * 2019-07-02 2019-10-01 广东工业大学 一种皮革表面破损检测方法、系统及相关装置
CN110458811A (zh) * 2019-07-20 2019-11-15 杭州爱科科技股份有限公司 一种柔性材料超长幅切割轨迹自动提取方法
CN110607405A (zh) * 2019-08-01 2019-12-24 佛山市南海区广工大数控装备协同创新研究院 基于机器视觉工业应用的皮革内轮廓识别切割装置及方法
CN110793973A (zh) * 2019-11-12 2020-02-14 广东骉马机器人科技有限公司 皮革表面缺陷检测系统
CN111160451A (zh) * 2019-12-27 2020-05-15 中山德著智能科技有限公司 一种柔性材料检测方法及其储存介质
CN111161233A (zh) * 2019-12-25 2020-05-15 武汉科技大学 一种用于冲孔皮革缺陷检测方法及系统

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6195664B1 (en) * 1997-02-21 2001-02-27 Micrografx, Inc. Method and system for controlling the conversion of a file from an input format to an output format
CN106125677B (zh) * 2016-07-27 2018-08-21 邓耀华 一种柔性材料轨迹加工方法和装置
CN106910220B (zh) * 2017-03-01 2020-05-05 拓卡奔马机电科技有限公司 一种自动裁料装置及方法
US10662488B2 (en) * 2018-02-05 2020-05-26 Foshan Shike Intelligent Technology co. LTD Flexible leather slice blanking apparatus and implementation method
CN110324511A (zh) * 2019-07-11 2019-10-11 广东工业大学 一种柔性材料加工设备及其图像扫描装置
CN110989491B (zh) * 2019-12-27 2020-12-22 杭州爱科科技股份有限公司 柔性材料零间距排版图的自动裁剪轨迹生成方法及装置

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0880698A1 (en) * 1996-02-09 1998-12-02 Unisearch Limited Visual inspection system for leather hide
CN1986835A (zh) * 2006-12-25 2007-06-27 浙江大学 功能集成式数控自动化皮革裁剪方法
CN102508938A (zh) * 2011-09-23 2012-06-20 东华大学 一种二维不规则皮革自动排样裁剪方法
CN105225225A (zh) * 2015-08-31 2016-01-06 臻雅科技温州有限公司 一种基于机器视觉的皮革自动划线方法和装置
CN107058642A (zh) * 2017-02-15 2017-08-18 佛山世科智能技术有限公司 一种柔性皮革切片下料装置及实现方法
CN110298835A (zh) * 2019-07-02 2019-10-01 广东工业大学 一种皮革表面破损检测方法、系统及相关装置
CN110458811A (zh) * 2019-07-20 2019-11-15 杭州爱科科技股份有限公司 一种柔性材料超长幅切割轨迹自动提取方法
CN110607405A (zh) * 2019-08-01 2019-12-24 佛山市南海区广工大数控装备协同创新研究院 基于机器视觉工业应用的皮革内轮廓识别切割装置及方法
CN110793973A (zh) * 2019-11-12 2020-02-14 广东骉马机器人科技有限公司 皮革表面缺陷检测系统
CN111161233A (zh) * 2019-12-25 2020-05-15 武汉科技大学 一种用于冲孔皮革缺陷检测方法及系统
CN111160451A (zh) * 2019-12-27 2020-05-15 中山德著智能科技有限公司 一种柔性材料检测方法及其储存介质

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN120047323A (zh) * 2025-02-08 2025-05-27 东莞市光博士激光科技股份有限公司 半自动化排版图生成方法

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