A method and system for digital modeling in automated cabinet production

Abstract

The present invention discloses a method and system for digital modeling under automated production of cabinets, the method comprising: performing image recognition on a sample of the cabinet to be produced based on a visual recognition component; performing three-dimensional scanning on the sample of the cabinet to be produced based on a three-dimensional scanning component; generating a three-dimensional model of the cabinet to be produced; acquiring working data of production equipment and logistics and transportation equipment, and matching the three-dimensional model of the cabinet to be produced with the working data of the production equipment and logistics and transportation equipment; the production equipment and logistics and transportation equipment perform automated production work based on the production plan data of the cabinet to be produced. The present invention acquires image information data and three-dimensional contour information data of the cabinet to be produced, generates a digital three-dimensional model, and generates production plan data in combination with the working data of the production equipment and logistics and transportation equipment, thereby achieving the acquisition of design information data of the cabinet to be produced, realizing digital modeling, and improving production efficiency.

Description

Technical Field

[0001] The present invention relates to the field of intelligent manufacturing technology, and in particular to a method and system for digital modeling in automated cabinet production. Background Art

[0002] In the field of intelligent manufacturing, cabinets are a type of cabinet body used for storage that is composed of multiple panels, and they occupy an important position in the field of intelligent manufacturing. On the current cabinet production line, automated production is already a routine configuration, but how to ensure the stability and efficiency of automated production is a major problem that currently exists. For some custom cabinets, if there is no specific design information data, how to obtain the design information data of the cabinets to be produced based on the sample, and how to produce the cabinets based on the actual design requirements of the cabinets to be produced in combination with the design information data has become a top priority. If manual measurement is performed and the measurement data is manually input into the automated production line, it is not only inefficient, but also prone to errors, thus affecting the production efficiency of the automated production line. Summary of the invention

[0003] The purpose of the present invention is to overcome the shortcomings of the prior art. The present invention provides a method and system for digital modeling under automated production of cabinets. Through visual recognition components and three-dimensional scanning components, image information data and three-dimensional contour information data of the cabinets to be produced are obtained, and digital modeling software is used to generate a digital three-dimensional model. The working data of production equipment and logistics and transportation equipment are combined to generate production plan data, thereby realizing the acquisition of design information data of the cabinets to be produced, realizing automated production, and improving production efficiency.

[0004] The present invention provides a method for digital modeling in automated cabinet production, the method comprising:

[0005] Performing image recognition on the sample of the cabinet to be produced based on the visual recognition component to obtain image information data of the sample of the cabinet to be produced;

[0006] Performing a three-dimensional scan on the sample of the cabinet to be produced based on the three-dimensional scanning component to obtain three-dimensional contour information data of the sample of the cabinet to be produced;

[0007] Generate a three-dimensional model of the cabinet to be produced based on the image information data and the three-dimensional contour information data of the sample of the cabinet to be produced;

[0008] Acquire working data of production equipment and logistics and transportation equipment, match the three-dimensional model of the cabinet to be produced with the working data of the production equipment and logistics and transportation equipment, and generate production plan data of the cabinet to be produced;

[0009] The production equipment and logistics transportation equipment perform automated production work based on the production plan data of the cabinets to be produced.

[0010] Furthermore, the performing image recognition on the sample of the cabinet to be produced based on the visual recognition component to obtain the image information data of the sample of the cabinet to be produced includes:

[0011] Performing omnidirectional image recognition on the sample of the cabinet to be produced based on the CCD stereoscopic vision recognition component to obtain an omnidirectional image of the sample of the cabinet to be produced;

[0012] The omnidirectional image of the sample of the cabinet to be produced is processed, the color, texture, and raw material data of the sample cabinet body of the cabinet to be produced are analyzed and acquired, and the image information data of the sample of the cabinet to be produced is comprehensively obtained.

[0013] Furthermore, the image processing of the omnidirectional image of the sample of the cabinet to be produced includes:

[0014] Performing angle recognition and classification processing on the omnidirectional images of the sample of the cabinet to be produced, and marking the images at different angles;

[0015] Performing geometric correction processing on images at different angles respectively to obtain images at different angles after geometric correction processing;

[0016] Performing contour edge detection and contour feature detection on the image after the geometric correction processing, and performing image cropping processing based on the detection results to obtain images at different angles after the image cropping processing;

[0017] The images at different angles after the image cropping process are integrated to generate an all-round image of the sample of the cabinet to be produced after image processing.

[0018] Furthermore, the three-dimensional scanning of the sample of the cabinet to be produced based on the three-dimensional scanning component to obtain the three-dimensional contour information data of the sample of the cabinet to be produced includes:

[0019] Performing a three-dimensional scan on the sample of the cabinet to be produced based on the three-dimensional scanning component to obtain three-dimensional coordinate data of the surface of the sample of the cabinet to be produced;

[0020] After analyzing and processing the three-dimensional coordinate data of the sample surface of the cabinet to be produced, point cloud data of the sample surface of the cabinet to be produced is generated.

[0021] Furthermore, the three-dimensional scanning of the sample of the cabinet to be produced based on the three-dimensional scanning component to obtain the three-dimensional contour information data of the sample of the cabinet to be produced also includes:

[0022] After decomposing the sample of the cabinet to be produced, three-dimensional scanning is performed on the decomposed sample of the cabinet to be produced based on a three-dimensional scanning component to obtain three-dimensional coordinate data of the decomposed sample of the cabinet to be produced;

[0023] After analyzing and processing the three-dimensional coordinate data of the decomposed sample of the cabinet to be produced, point cloud data of the decomposed sample of the cabinet to be produced is generated;

[0024] The point cloud data of the surface of the sample of the cabinet to be produced and the decomposed point cloud data of the sample of the cabinet to be produced are comprehensively analyzed, and denoising processing is performed to generate three-dimensional contour information data of the sample of the cabinet to be produced.

[0025] Furthermore, generating the three-dimensional model of the cabinet to be produced based on the image information data and the three-dimensional contour information data of the sample of the cabinet to be produced includes:

[0026] After the three-dimensional contour information data of the sample of the cabinet to be produced is packaged, it is imported into a digital modeling software with preset parameters for digital modeling processing to generate a three-dimensional model of the cabinet to be produced.

[0027] Furthermore, the obtaining of working data of the production equipment and the logistics and transportation equipment, matching the three-dimensional model of the cabinet to be produced with the working data of the production equipment and the logistics and transportation equipment, and generating the production plan data of the cabinet to be produced includes:

[0028] The working parameters of the production equipment and the logistics and transportation equipment are obtained, and based on the working parameters of the production equipment and the logistics and transportation equipment, the image information data and the three-dimensional contour information data in the three-dimensional model of the cabinet to be produced are matched with the corresponding production equipment and the logistics and transportation equipment, the production plan data of the cabinet to be produced is generated, and the work tasks are configured for the production equipment and the logistics and transportation equipment based on the production plan data of the cabinet to be produced.

[0029] Furthermore, the obtaining of working data of the production equipment and the logistics and transportation equipment, matching the three-dimensional model of the cabinet to be produced with the working data of the production equipment and the logistics and transportation equipment, and generating the production plan data of the cabinet to be produced also includes:

[0030] Based on the visual recognition component and the three-dimensional scanning component, the production equipment and the logistics and transportation equipment are respectively image recognized and three-dimensionally scanned to obtain image information data and three-dimensional contour information data of the production equipment and the logistics and transportation equipment;

[0031] After packaging the image information data and the three-dimensional contour information data of the production equipment and the logistics and transportation equipment, the data are input into the three-dimensional model of the cabinet to be produced for rendering;

[0032] After the rendering is completed, the three-dimensional model animation corresponding to the production plan data of the cabinet to be produced is output.

[0033] Furthermore, the obtaining of working data of the production equipment and the logistics and transportation equipment, matching the three-dimensional model of the cabinet to be produced with the working data of the production equipment and the logistics and transportation equipment, and generating the production plan data of the cabinet to be produced also includes:

[0034] The three-dimensional model animation corresponding to the production plan data of the cabinet to be produced is displayed on the visualization tool.

[0035] The present invention also provides a digital modeling system for cabinet automated production, the system comprising:

[0036] An image information data acquisition module, the image information data acquisition module is used to perform image recognition on a sample of the cabinet to be produced based on a visual recognition component, and acquire image information data of the sample of the cabinet to be produced;

[0037] A three-dimensional contour information data acquisition module, the three-dimensional contour information data acquisition module is used to perform three-dimensional scanning on the sample of the cabinet to be produced based on a three-dimensional scanning component to acquire three-dimensional contour information data of the sample of the cabinet to be produced;

[0038] A three-dimensional model generation module, the three-dimensional model generation module is used to generate a three-dimensional model of the cabinet to be produced based on the image information data and three-dimensional contour information data of the sample of the cabinet to be produced;

[0039] A three-dimensional model matching module, the three-dimensional model matching module is used to obtain the working data of the production equipment and the logistics and transportation equipment, match the three-dimensional model of the cabinet to be produced with the working data of the production equipment and the logistics and transportation equipment, and generate the production plan data of the cabinet to be produced;

[0040] An automated production module is used to control the production equipment and logistics transportation equipment to perform automated production work based on the production plan data of the cabinets to be produced.

[0041] The present invention performs all-round image recognition on the sample of the cabinet to be produced based on the CCD stereo vision recognition component, obtains the all-round image of the sample of the cabinet to be produced, and can obtain the image of the sample of the cabinet to be produced in all directions without blind spots to avoid omissions; image processing is performed on the obtained all-round image, which can effectively improve the quality of the image, which is conducive to the subsequent construction of the three-dimensional model; based on the three-dimensional scanning component, three-dimensional scanning is performed on the surface and decomposition state of the sample of the cabinet to be produced, which can effectively improve the accuracy of the generated three-dimensional digital model; at the same time, image information data and three-dimensional contour information data of production equipment and logistics transportation equipment are collected, and input into the three-dimensional digital model of the cabinet to be produced for rendering, so as to obtain a three-dimensional model animation of the production process of the cabinet to be produced, so that the entire production process is visualized and intuitively displayed, thereby realizing digital modeling in the automated production of the cabinet to be produced and improving production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0043] Figure 1 This is a flow chart of a method for digital modeling in automated cabinet production in Embodiment 1 of the present invention;

[0044] Figure 2 is a flow chart of obtaining image information data of a sample of a cabinet to be produced in the first embodiment of the present invention;

[0045] Figure 3 is a flow chart of image processing for an omnidirectional image in Embodiment 1 of the present invention;

[0046] Figure 4 is a flow chart of obtaining the three-dimensional contour information data of the sample of the cabinet to be produced in the first embodiment of the present invention;

[0047] Figure 5 is a flowchart of generating a three-dimensional model animation corresponding to the production plan data of the cabinet to be produced in the first embodiment of the present invention;

[0048] Figure 6 This is a system architecture diagram of digital modeling for automated cabinet production in the second embodiment of the present invention. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] In the present invention, it should be understood that terms such as "include" or "have" are intended to indicate the existence of features, numbers, steps, behaviors, components, parts or a combination thereof disclosed in the specification, and are not intended to exclude the possibility that one or more other features, numbers, steps, behaviors, components, parts or a combination thereof exist or are added.

[0051] It should also be noted that, in the absence of conflict, the embodiments and features of the embodiments of the present invention can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0052] Embodiment 1

[0053] Embodiment 1 of the present invention relates to a method for digital modeling under automated production of cabinets, the method comprising: performing image recognition on a sample of the cabinet to be produced based on a visual recognition component to obtain image information data of the sample of the cabinet to be produced; performing three-dimensional scanning on the sample of the cabinet to be produced based on a three-dimensional scanning component to obtain three-dimensional contour information data of the sample of the cabinet to be produced; generating a three-dimensional model of the cabinet to be produced based on the image information data and three-dimensional contour information data of the sample of the cabinet to be produced; obtaining working data of production equipment and logistics and transportation equipment, matching the three-dimensional model of the cabinet to be produced with the working data of the production equipment and logistics and transportation equipment, and generating production plan data for the cabinet to be produced; the production equipment and logistics and transportation equipment perform automated production work based on the production plan data of the cabinet to be produced.

[0054] In an optional implementation of this embodiment, Figure 1 As shown, Figure 1 A flow chart of a method for digital modeling in automated cabinet production in Embodiment 1 of the present invention is shown, comprising the following steps:

[0055] S101, performing image recognition on a sample of the cabinet to be produced based on a visual recognition component to obtain image information data of the sample of the cabinet to be produced;

[0056] In an optional implementation of this embodiment, Figure 2 As shown, Figure 2 The flowchart of obtaining image information data of a sample of a cabinet to be produced in the first embodiment of the present invention is shown, comprising the following steps:

[0057] S201, performing omnidirectional image recognition on a sample of the cabinet to be produced based on a CCD stereoscopic vision recognition component to obtain an omnidirectional image of the sample of the cabinet to be produced;

[0058] In an optional implementation of this embodiment, a CCD stereoscopic vision recognition component composed of multiple CCD cameras performs all-round image recognition on samples of cabinets to be produced.

[0059] Specifically, in this embodiment, three CCD cameras are set for image recognition, including a first CCD camera, a second CCD camera, and a third CCD camera, and also include an X-axis scale, a Y-axis scale, and a Z-axis scale. The X-axis scale, the Y-axis scale, and the Z-axis scale are perpendicular to each other to form a spatial rectangular coordinate system.

[0060] Furthermore, the first CCD camera moves on the X-axis scale, the second CCD camera moves on the Y-axis scale, and the third CCD camera moves on the Z-axis scale, and the sample of the cabinet to be produced is placed on a plane parallel to the XY plane and located in the positive direction of the Z axis, and all-round multi-angle shooting is performed based on the first CCD camera, the second CCD camera, and the third CCD camera to form an all-round image of the sample of the cabinet to be produced.

[0061] S202: performing image processing on the omnidirectional image of the sample of the cabinet to be produced.

[0062] In an optional implementation of this embodiment, Figure 3 As shown, Figure 3 The flowchart of performing image processing on an omnidirectional image in the first embodiment of the present invention is shown, comprising the following steps:

[0063] S301, performing angle recognition and classification processing on the omnidirectional images of the sample of the cabinet to be produced, and marking the images at different angles;

[0064] In an optional implementation of the present embodiment, angle recognition and classification processing is performed on the omnidirectional images collected by the three CCD cameras in step S201, and a spherical coordinate system is made with one side of the sample of the cabinet to be produced in the positive direction of the X-axis as a reference, and the images collected at different angles are marked with the angles of the spherical coordinate system.

[0065] S302, performing geometric correction processing on images at different angles respectively to obtain images at different angles after geometric correction processing;

[0066] In an optional implementation of this embodiment, the geometric deformation in the images at different angles is eliminated to eliminate the internal distortion in the images, so that the images are geometrically integrated with the actual sample of the cabinet to be produced.

[0067] S303, performing contour edge detection and contour feature detection on the image after the geometric correction processing, and performing image cropping processing based on the detection results to obtain images of different angles after the image cropping processing;

[0068] In an optional implementation of this embodiment, a threshold segmentation method is used to implement contour edge detection and contour feature detection on the image after the geometric correction processing.

[0069] Specifically, a grayscale threshold is determined according to the grayscale value of the real image of the sample of the cabinet to be produced, and the grayscale value of each pixel in the image after geometric correction is extracted, and these grayscale values ​​are compared with the grayscale threshold. If the grayscale value of the pixel in the image after geometric correction is greater than the grayscale threshold, it is determined that the pixel belongs to the real image of the sample of the cabinet to be produced. If the grayscale value of the pixel in the image after geometric correction is less than the grayscale threshold, it is determined that the pixel belongs to the background, thereby realizing contour edge detection of the image after geometric correction.

[0070] Furthermore, the pixel points of the extracted real image of the sample of the cabinet to be produced are grayed and binarized to obtain binary image data of the real image of the sample of the cabinet to be produced, and contour feature detection of the image after geometric correction is implemented based on the canny edge detection operator.

[0071] Specifically, the canny edge detection operator is a multi-stage optimization operator with filtering, enhancement, and detection. It uses a Gaussian smoothing filter to remove noise, and uses the finite difference of the first-order partial derivative to calculate the gradient amplitude and direction. After a non-maximum suppression process, two thresholds, namely high and low thresholds, are finally used to output a binary image. It has accurate recognition, fast speed, and can be applied to images with complex textures.

[0072] In an optional implementation of the present embodiment, based on the detection results of the above-mentioned contour edge detection and contour feature detection, image cropping is performed on the images at different angles after the geometric correction processing to obtain images at different angles after image cropping processing.

[0073] S304, synthesizing the images at different angles after the image cropping process to generate an omnidirectional image of the sample of the cabinet to be produced after image processing;

[0074] In an optional implementation of this embodiment, all images at different angles after image cropping are integrated and combined with angle marks to generate an all-round image of the sample of the cabinet to be produced after image processing.

[0075] S305, analyzing and acquiring the color, texture, and raw material data of the sample cabinet of the cabinet to be produced, and comprehensively obtaining the image information data of the sample cabinet to be produced.

[0076] In an optional implementation of the present embodiment, the color and texture data of the sample cabinet body of the cabinet to be produced are analyzed and obtained in the omnidirectional image of the sample cabinet to be produced after the image processing, and the raw material data is analyzed based on the color and texture data to comprehensively obtain the image information data of the sample cabinet to be produced.

[0077] S102, performing three-dimensional scanning on the sample of the cabinet to be produced based on a three-dimensional scanning component to obtain three-dimensional contour information data of the sample of the cabinet to be produced;

[0078] In an optional implementation of this embodiment, a three-dimensional scan is performed on the sample of the cabinet to be produced based on a weak-intensity three-dimensional laser scanner.

[0079] In an optional implementation of this embodiment, Figure 4 As shown, Figure 4 A flowchart of obtaining the three-dimensional contour information data of the sample of the cabinet to be produced in the first embodiment of the present invention is shown, comprising the following steps:

[0080] S401, performing three-dimensional scanning on the sample of the cabinet to be produced based on a three-dimensional scanning component to obtain three-dimensional coordinate data of the surface of the sample of the cabinet to be produced;

[0081] In an optional implementation of this embodiment, the sample surface of the cabinet to be produced is scanned based on a weak-intensity three-dimensional laser scanner to obtain three-dimensional coordinate data of the sample surface of the cabinet to be produced.

[0082] Specifically, the three-dimensional coordinate data is coordinate data on a spatial rectangular coordinate system with a corner of the sample of the cabinet to be produced as the origin.

[0083] S402, generating point cloud data of the sample surface of the cabinet to be produced after analyzing and processing the three-dimensional coordinate data of the sample surface of the cabinet to be produced;

[0084] In an optional implementation of this embodiment, after analyzing and processing the three-dimensional coordinate data of the sample surface of the cabinet to be produced on the spatial rectangular coordinate system, point cloud data of the sample surface of the cabinet to be produced is generated.

[0085] S403, after decomposing the sample of the cabinet to be produced, perform three-dimensional scanning on the decomposed sample of the cabinet to be produced based on a three-dimensional scanning component to obtain three-dimensional coordinate data of the decomposed sample of the cabinet to be produced;

[0086] In an optional implementation of the present embodiment, the sample of the cabinet to be produced is decomposed, and the decomposed sample of the cabinet to be produced is scanned in three dimensions again based on a weak-intensity three-dimensional laser scanner to obtain three-dimensional coordinate data of the decomposed sample of the cabinet to be produced.

[0087] It should be noted that the degree of decomposition of the sample of the cabinet to be produced is to ensure that the low-intensity three-dimensional laser scanner can completely scan the internal details that are not scanned in step S401.

[0088] S404, analyzing and processing the three-dimensional coordinate data of the decomposed sample of the cabinet to be produced, and generating point cloud data of the decomposed sample of the cabinet to be produced;

[0089] In an optional implementation of the present embodiment, after analyzing and processing the three-dimensional coordinate data of the decomposed sample of the cabinet to be produced on a spatial rectangular coordinate system, point cloud data of the decomposed sample of the cabinet to be produced is generated.

[0090] S405, comprehensively analyzing the point cloud data of the surface of the sample of the cabinet to be produced and the decomposed point cloud data of the sample of the cabinet to be produced, and performing denoising processing to generate three-dimensional contour information data of the sample of the cabinet to be produced.

[0091] It should be noted that when using a weak-intensity three-dimensional laser scanner for three-dimensional scanning, a large number of external noise flying points will be generated, which will affect the accuracy of the subsequent three-dimensional digital model. Here, the density filtering method is adopted to perform density clustering analysis on the point cloud data of the sample surface of the cabinet to be produced and the point cloud data of the decomposed sample of the cabinet to be produced. Based on the density clustering analysis results, the noise points are separated, the noise data is proposed, and the accuracy of the point cloud data of the sample surface of the cabinet to be produced and the point cloud data of the decomposed sample of the cabinet to be produced is improved.

[0092] S103, generating a three-dimensional model of the cabinet to be produced based on the image information data and three-dimensional contour information data of the sample of the cabinet to be produced;

[0093] In an optional implementation of this embodiment, the three-dimensional contour information data of the sample of the cabinet to be produced is packaged and imported into a digital modeling software with preset parameters for digital modeling processing to generate a three-dimensional model of the cabinet to be produced.

[0094] Specifically, Modelica digital modeling software can be selected to perform digital modeling processing.

[0095] S104, obtaining working data of production equipment and logistics and transportation equipment, matching the three-dimensional model of the cabinet to be produced with the working data of the production equipment and logistics and transportation equipment, and generating production plan data of the cabinet to be produced;

[0096] In an optional implementation of the present embodiment, the working parameters of the production equipment and the logistics and transportation equipment are obtained, and based on the working parameters of the production equipment and the logistics and transportation equipment, the image information data and the three-dimensional contour information data in the three-dimensional model of the cabinet to be produced are matched with the corresponding production equipment and the logistics and transportation equipment, the production plan data of the cabinet to be produced is generated, and the work tasks are configured for the production equipment and the logistics and transportation equipment based on the production plan data of the cabinet to be produced.

[0097] In an optional implementation of this embodiment, Figure 5 As shown, Figure 5 A flowchart of generating a three-dimensional model animation corresponding to the production plan data of the cabinet to be produced in the first embodiment of the present invention is shown, comprising the following steps:

[0098] S501, performing image recognition and three-dimensional scanning on the production equipment and the logistics and transportation equipment respectively based on the visual recognition component and the three-dimensional scanning component to obtain image information data and three-dimensional contour information data of the production equipment and the logistics and transportation equipment;

[0099] In an optional implementation of the present embodiment, image recognition is performed on the production equipment and logistics transportation equipment based on a CCD stereo vision recognition component, and three-dimensional scanning of the production equipment and logistics transportation equipment is performed based on a weak-intensity three-dimensional laser scanner to obtain image information data and three-dimensional contour information data of the production equipment and logistics transportation equipment.

[0100] S502, packaging the image information data and the three-dimensional contour information data of the production equipment and the logistics transportation equipment, and inputting the data into the three-dimensional model of the cabinet to be produced for rendering;

[0101] In an optional implementation of this embodiment, Clut3D technology is used for rendering.

[0102] Specifically, Clut3D is used for rendering. Based on the production plan data of the cabinets to be produced, combined with the three-dimensional models of the cabinets to be produced, production equipment and logistics and transportation equipment, the production process in the production plan data of the cabinets to be produced is made into a three-dimensional model animation, which can intuitively display the production process of the cabinets to be produced.

[0103] S503: After rendering is completed, a three-dimensional model animation corresponding to the production plan data of the cabinet to be produced is output.

[0104] In an optional implementation of this embodiment, the three-dimensional model animation corresponding to the production plan data of the cabinet to be produced is displayed on a visualization tool.

[0105] S105, the production equipment and logistics transportation equipment perform automated production work based on the production plan data of the cabinets to be produced.

[0106] In summary, Embodiment 1 of the present invention provides a method for digital modeling under automated production of cabinets, which performs all-round image recognition on samples of cabinets to be produced based on a CCD stereoscopic vision recognition component, obtains all-round images of the samples of the cabinets to be produced, and can obtain images of the samples of the cabinets to be produced in all directions without blind spots to avoid omissions; image processing is performed on the obtained all-round images, which can effectively improve the quality of the images and is conducive to the subsequent construction of three-dimensional models; three-dimensional scanning is performed on the surface and decomposed state of the samples of the cabinets to be produced based on a three-dimensional scanning component, which can effectively improve the accuracy of the generated three-dimensional digital model; at the same time, image information data and three-dimensional contour information data of production equipment and logistics transportation equipment are collected and input into the three-dimensional digital model of the cabinets to be produced for rendering, and a three-dimensional model animation of the production process of the cabinets to be produced can be obtained, so that the entire production process can be visualized and intuitively displayed, thereby realizing digital modeling in the automated production of the cabinets to be produced and improving production efficiency.

[0107] Embodiment 2

[0108] A digital modeling system for automated cabinet production according to a second embodiment of the present invention is provided. Figure 6 As shown, Figure 6 The system architecture diagram of digital modeling under the automatic production of cabinets in the second embodiment of the present invention is shown, and the system includes:

[0109] An image information data acquisition module 10, wherein the image information data acquisition module 10 is used to perform image recognition on a sample of the cabinet to be produced based on a visual recognition component, and acquire image information data of the sample of the cabinet to be produced;

[0110] A three-dimensional contour information data acquisition module 20, the three-dimensional contour information data acquisition module 20 is used to perform three-dimensional scanning on the sample of the cabinet to be produced based on a three-dimensional scanning component to obtain three-dimensional contour information data of the sample of the cabinet to be produced;

[0111] A three-dimensional model generation module 30, the three-dimensional model generation module 30 is used to generate a three-dimensional model of the cabinet to be produced based on the image information data and three-dimensional contour information data of the sample of the cabinet to be produced;

[0112] A three-dimensional model matching module 40, the three-dimensional model matching module 40 is used to obtain the working data of the production equipment and the logistics and transportation equipment, match the three-dimensional model of the cabinet to be produced with the working data of the production equipment and the logistics and transportation equipment, and generate the production plan data of the cabinet to be produced;

[0113] The automated production module 50 is used to control the production equipment and logistics transportation equipment to perform automated production work based on the production plan data of the cabinet to be produced.

[0114] In summary, the second embodiment of the present invention provides a system for digital modeling under the automated production of cabinets, which is used to execute a method for digital modeling under the automated production of cabinets in the first embodiment. Based on the CCD stereoscopic vision recognition component, all-round image recognition is performed on the sample of the cabinet to be produced to obtain the all-round image of the sample of the cabinet to be produced. The image of the sample of the cabinet to be produced can be obtained in all directions without blind spots to avoid omissions; image processing is performed on the acquired all-round image, which can effectively improve the image quality and is conducive to the subsequent construction of the three-dimensional model; based on the three-dimensional scanning component, three-dimensional scanning is performed on the surface and decomposition state of the sample of the cabinet to be produced, which can effectively improve the accuracy of the generated three-dimensional digital model; at the same time, image information data and three-dimensional contour information data of the production equipment and logistics transportation equipment are collected and input into the three-dimensional digital model of the cabinet to be produced for rendering, so that a three-dimensional model animation of the production process of the cabinet to be produced can be obtained, so that the entire production process can be visualized and intuitively displayed, thereby realizing digital modeling in the automated production of the cabinet to be produced and improving production efficiency.

[0115] A person of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, and the storage medium may include: a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, etc.

[0116] In addition, the embodiments of the present invention are described in detail above. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A digital modeling method for cabinet automated production, characterized in that: The method comprises: Performing image recognition on the sample of the cabinet to be produced based on the visual recognition component to obtain image information data of the sample of the cabinet to be produced; The method of performing image recognition on the sample of the cabinet to be produced based on the visual recognition component to obtain image information data of the sample of the cabinet to be produced includes: performing omnidirectional image recognition on the sample of the cabinet to be produced based on the CCD stereoscopic visual recognition component to obtain an omnidirectional image of the sample of the cabinet to be produced; performing image processing on the omnidirectional image of the sample of the cabinet to be produced, analyzing and obtaining the color, texture, and raw material data of the sample cabinet of the cabinet to be produced, and comprehensively obtaining the image information data of the sample of the cabinet to be produced; Performing a three-dimensional scan on the sample of the cabinet to be produced based on the three-dimensional scanning component to obtain three-dimensional contour information data of the sample of the cabinet to be produced; Generate a three-dimensional model of the cabinet to be produced based on the image information data and the three-dimensional contour information data of the sample of the cabinet to be produced; Acquire working data of production equipment and logistics and transportation equipment, match the three-dimensional model of the cabinet to be produced with the working data of the production equipment and logistics and transportation equipment, and generate production plan data of the cabinet to be produced; The production equipment and logistics transportation equipment perform automated production work based on the production plan data of the cabinets to be produced.

2. The digital modeling method for cabinet automated production according to claim 1, characterized in that: The image processing of the omnidirectional image of the sample of the cabinet to be produced comprises: Performing angle recognition and classification processing on the omnidirectional images of the sample of the cabinet to be produced, and marking the images at different angles; Performing geometric correction processing on images at different angles respectively to obtain images at different angles after geometric correction processing; Performing contour edge detection and contour feature detection on the image after the geometric correction processing, and performing image cropping processing based on the detection results to obtain images at different angles after the image cropping processing; The images at different angles after the image cropping process are integrated to generate an all-round image of the sample of the cabinet to be produced after image processing.

3. The digital modeling method for cabinet automated production according to claim 1, characterized in that: The three-dimensional scanning of the sample of the cabinet to be produced based on the three-dimensional scanning component to obtain the three-dimensional contour information data of the sample of the cabinet to be produced includes: Performing a three-dimensional scan on the sample of the cabinet to be produced based on the three-dimensional scanning component to obtain three-dimensional coordinate data of the surface of the sample of the cabinet to be produced; After analyzing and processing the three-dimensional coordinate data of the sample surface of the cabinet to be produced, point cloud data of the sample surface of the cabinet to be produced is generated.

4. The method for digital modeling in automated cabinet production as claimed in claim 3, characterized in that: The step of performing three-dimensional scanning on the sample of the cabinet to be produced based on the three-dimensional scanning component to obtain three-dimensional contour information data of the sample of the cabinet to be produced further includes: After decomposing the sample of the cabinet to be produced, three-dimensional scanning is performed on the decomposed sample of the cabinet to be produced based on a three-dimensional scanning component to obtain three-dimensional coordinate data of the decomposed sample of the cabinet to be produced; After analyzing and processing the three-dimensional coordinate data of the decomposed sample of the cabinet to be produced, point cloud data of the decomposed sample of the cabinet to be produced is generated; The point cloud data of the surface of the sample of the cabinet to be produced and the decomposed point cloud data of the sample of the cabinet to be produced are comprehensively analyzed, and denoising processing is performed to generate three-dimensional contour information data of the sample of the cabinet to be produced.

5. The digital modeling method for cabinet automated production according to claim 1, characterized in that: The step of generating the three-dimensional model of the cabinet to be produced based on the image information data and the three-dimensional contour information data of the sample of the cabinet to be produced comprises: After the three-dimensional contour information data of the sample of the cabinet to be produced is packaged, it is imported into a digital modeling software with preset parameters for digital modeling processing to generate a three-dimensional model of the cabinet to be produced.

6. The digital modeling method for cabinet automated production according to claim 1, characterized in that: The step of acquiring the working data of the production equipment and the logistics and transportation equipment, matching the three-dimensional model of the cabinet to be produced with the working data of the production equipment and the logistics and transportation equipment, and generating the production plan data of the cabinet to be produced includes: The working parameters of the production equipment and the logistics and transportation equipment are obtained, and based on the working parameters of the production equipment and the logistics and transportation equipment, the image information data and the three-dimensional contour information data in the three-dimensional model of the cabinet to be produced are matched with the corresponding production equipment and the logistics and transportation equipment, the production plan data of the cabinet to be produced is generated, and the work tasks are configured for the production equipment and the logistics and transportation equipment based on the production plan data of the cabinet to be produced.

7. The method for digital modeling in automated cabinet production as claimed in claim 6, characterized in that: The step of acquiring the working data of the production equipment and the logistics and transportation equipment, matching the three-dimensional model of the cabinet to be produced with the working data of the production equipment and the logistics and transportation equipment, and generating the production plan data of the cabinet to be produced also includes: Based on the visual recognition component and the three-dimensional scanning component, the production equipment and the logistics and transportation equipment are respectively image recognized and three-dimensionally scanned to obtain image information data and three-dimensional contour information data of the production equipment and the logistics and transportation equipment; After packaging the image information data and the three-dimensional contour information data of the production equipment and the logistics and transportation equipment, the data are input into the three-dimensional model of the cabinet to be produced for rendering; After the rendering is completed, the three-dimensional model animation corresponding to the production plan data of the cabinet to be produced is output.

8. The method for digital modeling in automated cabinet production as claimed in claim 7, characterized in that: The step of acquiring the working data of the production equipment and the logistics and transportation equipment, matching the three-dimensional model of the cabinet to be produced with the working data of the production equipment and the logistics and transportation equipment, and generating the production plan data of the cabinet to be produced also includes: The three-dimensional model animation corresponding to the production plan data of the cabinet to be produced is displayed on the visualization tool.

9. A digital modeling system for automated cabinet production, characterized in that: The system comprises: An image information data acquisition module, the image information data acquisition module is used to perform image recognition on a sample of the cabinet to be produced based on a visual recognition component, and acquire image information data of the sample of the cabinet to be produced; The method of performing image recognition on the sample of the cabinet to be produced based on the visual recognition component to obtain image information data of the sample of the cabinet to be produced includes: performing omnidirectional image recognition on the sample of the cabinet to be produced based on the CCD stereoscopic visual recognition component to obtain an omnidirectional image of the sample of the cabinet to be produced; performing image processing on the omnidirectional image of the sample of the cabinet to be produced, analyzing and obtaining the color, texture, and raw material data of the sample cabinet of the cabinet to be produced, and comprehensively obtaining the image information data of the sample of the cabinet to be produced; A three-dimensional contour information data acquisition module, the three-dimensional contour information data acquisition module is used to perform three-dimensional scanning on the sample of the cabinet to be produced based on a three-dimensional scanning component to acquire three-dimensional contour information data of the sample of the cabinet to be produced; A three-dimensional model generation module, the three-dimensional model generation module is used to generate a three-dimensional model of the cabinet to be produced based on the image information data and three-dimensional contour information data of the sample of the cabinet to be produced; A three-dimensional model matching module, the three-dimensional model matching module is used to obtain the working data of the production equipment and the logistics and transportation equipment, match the three-dimensional model of the cabinet to be produced with the working data of the production equipment and the logistics and transportation equipment, and generate the production plan data of the cabinet to be produced; An automated production module is used to control the production equipment and logistics transportation equipment to perform automated production work based on the production plan data of the cabinets to be produced.

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