Control method and system of automatic folding and packaging line of clothing based on machine vision

Abstract

The present invention provides a control method and system for an automatic folding and packaging line for clothing based on machine vision, wherein the method is applied to an automatic folding and packaging line for clothing, the automatic packaging line for clothing comprising: a plurality of feeding transmission devices, a classification device, a plurality of conveying devices, and a plurality of folding and packaging devices, and the method comprises: controlling the action of the feeding transmission device to convey clothing from a production workshop to a classification device in a packaging workshop; performing image acquisition of clothing by a first image acquisition device of the classification device; analyzing and identifying the acquired first image, and controlling the action of the corresponding conveying device according to the recognition result to convey the clothing to a corresponding folding and packaging device for folding and packaging. The control method and system for an automatic folding and packaging line for clothing based on machine vision of the present invention can meet the diverse clothing production needs of a clothing factory, and effectively improve production efficiency and reduce energy consumption by classifying the produced clothing and conveying it to the corresponding folding and packaging device.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial control software, and in particular to a control method and system for an automatic folding and packaging line of clothing based on machine vision. Background Art

[0002] Garment factories are producing all kinds of clothing all the time. After the clothing is produced, it needs to be folded and packed for the sake of appearance, storage and transportation. The traditional processing method generally relies on manual work.

[0003] In order to improve the efficiency of folding and packaging, the existing patents CN202321755803.9, a kind of automatic folding device for clothing processing, CN202120160745.X, a kind of folding and packaging equipment for clothing processing, CN202222936603.5, a kind of folding device for clothing processing, etc. all provide devices or equipment that can perform automatic folding, but because their structures are fixed, that is, they can only fold clothes of the same type or even the same size, that is, the existing folding and packaging lines used in garment factories are generally dedicated, that is, one production line corresponds to one type of clothing style, and the clothing produced by garment factories is often a variety of types of clothing produced in parallel, so that multiple production lines are required to be carried out simultaneously, and in order to cope with the changes in the production position of clothing, the folding and packaging production lines need to be adjusted accordingly, which is extremely wasteful of manpower and material resources and cannot improve production efficiency and energy consumption at the same time. Summary of the invention

[0004] One of the purposes of the present invention is to provide a control method and system for an automatic folding and packaging line of clothing based on machine vision, so as to meet the diverse clothing production needs of clothing factories. By classifying the produced clothing and conveying them to corresponding folding and packaging devices, clothing folding and packaging are effectively linked to clothing production. There is no need to frequently change the position of the folding and packaging production line, thereby effectively improving production efficiency and reducing energy consumption.

[0005] A control method for a clothing automatic folding and packaging line based on machine vision provided in an embodiment of the present invention is applied to the clothing automatic folding and packaging line. The clothing automatic packaging line includes: a plurality of feeding transmission devices, a classification device, a plurality of conveying devices, and a plurality of folding and packaging devices, including:

[0006] Control the action of the feeding conveyor to transport the garments from the production workshop to the sorting device in the packaging workshop;

[0007] Capturing images of the clothing by a first image acquisition device of the classification device;

[0008] The collected first image is analyzed and identified, and according to the identification result, the corresponding conveying device is controlled to convey the clothing to the corresponding folding and packaging device for folding and packaging.

[0009] Preferably, the feed transmission device comprises: a first conveyor belt, a plurality of second image acquisition devices and a third image acquisition device, a first controller and a first communication module;

[0010] Wherein, one end of the first conveyor belt is arranged in the production workshop, and the other end is arranged in the packaging workshop;

[0011] The second image acquisition device is distributed and arranged on the side of the first conveyor belt at one end of the production workshop, and the arrangement position corresponds to the workstation of the last process of clothing production in the production workshop, and the second image acquisition device acquires the second image of the clothing placed on the first conveyor belt;

[0012] The third image acquisition device is arranged at the position where the first conveyor belt extends out from the production workshop;

[0013] The first controller is electrically connected to the first conveyor belt, the second image acquisition device, the third image acquisition device and the first communication module respectively.

[0014] Preferably, the feed transmission device further comprises: a first reminder device;

[0015] Wherein, the first reminder device includes a plurality of LED prompt lights, which are distributed on the side of the first conveyor belt at one end of the production workshop.

[0016] Preferably, the control method of the automatic folding and packaging line of clothing based on machine vision also includes:

[0017] Receiving a second image captured by a second image acquisition device and sent by the first controller through the first communication module;

[0018] Using a pre-configured first analysis library, verify and analyze the second image to determine whether an abnormality occurs;

[0019] When an abnormality occurs, the position of the garment on the first conveyor belt is located according to the working parameters of the first conveyor belt and the position of the second image acquisition device corresponding to the second image;

[0020] The action of the first reminder device is controlled according to the positioning result.

[0021] Preferably, the control method of the automatic folding and packaging line of clothing based on machine vision also includes:

[0022] receiving a third image captured by a third image acquisition device and sent by the first controller through the first communication module;

[0023] Recognize the third image to determine the conveying conditions of the garments conveyed to the packaging workshop by each feeding conveying device;

[0024] Recognize the second image to determine the feeding conditions of each feeding and conveying device;

[0025] Analyze the feeding and conveying conditions according to the pre-configured conveying device control library and obtain the analysis results;

[0026] Based on the analysis result, the operation of the first conveyor belt of each feed transmission device is controlled.

[0027] Preferably, the automatic clothing packaging line further comprises: a plurality of clothing temporary storage devices, which are arranged one by one at the end of the feeding transmission device located in the packaging workshop.

[0028] Preferably, the clothing temporary storage device comprises: a first grabbing manipulator and a clothing temporary storage rack;

[0029] Wherein, the first grabbing robot is arranged on one side of the first conveyor belt.

[0030] Preferably, the classification device comprises: a second grasping manipulator, a classification platform, a first image acquisition device, a second controller and a second communication module;

[0031] Among them, the second grasping robot grasps the clothes from the feeding conveying device and places them on the classification platform; the first image acquisition device acquires the first image of the clothes on the classification platform; the second controller classifies the clothes on the classification platform based on the pre-configured classification library and the first image, and controls the second grasping robot to grasp the clothes on the classification platform and place them on the corresponding conveying device according to the classification results.

[0032] The present invention also provides a control system for a clothing automatic folding and packaging line based on machine vision, comprising: a first control unit, a data acquisition unit and an analysis unit;

[0033] Among them, the first control unit controls the action of the feeding transmission device to transport the clothing from the production workshop to the classification device in the packaging workshop; the data acquisition unit captures images of the clothing through the first image acquisition device of the classification device; the analysis unit analyzes and identifies the captured first image, and controls the corresponding conveying device action according to the identification result to transport the clothing to the corresponding folding and packaging device for folding and packaging.

[0034] Preferably, the control system of the automatic folding and packaging line of clothing based on machine vision further includes: an abnormality detection unit;

[0035] The anomaly detection unit performs the following operations:

[0036] Receiving a second image captured by a second image acquisition device and sent by the first controller through the first communication module;

[0037] Using a pre-configured first analysis library, verify and analyze the second image to determine whether an abnormality occurs;

[0038] When an abnormality occurs, the position of the garment on the first conveyor belt is located according to the working parameters of the first conveyor belt and the position of the second image acquisition device corresponding to the second image;

[0039] The action of the first reminder device is controlled according to the positioning result.

[0040] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0041] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0043] Figure 1 Schematic diagram of a control method for a clothing automatic folding and packaging line based on machine vision in an embodiment of the present invention;

[0044] Figure 2 The figure is a schematic diagram of a control system of a clothing automatic folding and packaging line based on machine vision in an embodiment of the present invention. DETAILED DESCRIPTION

[0045] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0046] Example 1

[0047] The embodiment of the present invention provides a control method for an automatic folding and packaging line for clothing based on machine vision, which is applied to the automatic folding and packaging line for clothing. The automatic folding and packaging line for clothing includes: a plurality of feeding transmission devices, a classification device, a plurality of conveying devices, a plurality of folding and packaging devices, such as Figure 1 As shown, including:

[0048] Step S1: Control the feeding and conveying device to transport the garments from the production workshop to the sorting device in the packaging workshop;

[0049] Step S2: Capturing images of the clothing by a first image acquisition device of the classification device;

[0050] Step S3: Analyze and identify the collected first image, and control the corresponding conveying device to convey the clothing to the corresponding folding and packaging device for folding and packaging according to the identification result.

[0051] The control method of the automatic folding and packaging line of clothing based on machine vision provided in this embodiment is applied to the automatic folding and packaging line of clothing. The automatic folding and packaging line of clothing can be responsible for the folding and packaging needs of clothing produced by all production workshops in the factory area. After the clothing is produced at the production station, it is placed on the feeding and conveying device. The feeding and conveying device conveys the clothing produced by each production workshop to the classification device of the packaging workshop. After the classification device is classified, it is respectively conveyed to different types of folding and packaging devices through different conveying devices for folding and packaging; such a setting can make the folding and packaging be set at a fixed point without resetting the device, and realize unified folding and packaging processing, effectively improve production efficiency and reduce energy consumption. Among them, the first image collected is analyzed and identified, and a pre-configured classification and recognition library can be used to match the first image with each standard image in the classification and recognition library, and the recognition result configured according to the pre-corresponding association of the standard image is used as the recognition result of the first image.

[0052] Example 2

[0053] This embodiment is proposed on the basis of embodiment 1, the feed transmission device includes: a first conveyor belt, a plurality of second image acquisition devices and a third image acquisition device, a first controller and a first communication module;

[0054] Wherein, one end of the first conveyor belt is arranged in the production workshop, and the other end is arranged in the packaging workshop;

[0055] The second image acquisition device is distributed and arranged on the side of the first conveyor belt at one end of the production workshop, and the arrangement position corresponds to the workstation of the last process of clothing production in the production workshop, and the second image acquisition device acquires the second image of the clothing placed on the first conveyor belt;

[0056] The third image acquisition device is arranged at the position where the first conveyor belt extends out from the production workshop;

[0057] The first controller is electrically connected to the first conveyor belt, the second image acquisition device, the third image acquisition device and the first communication module respectively.

[0058] Wherein, the feed transmission device further comprises: a first reminder device;

[0059] The first reminder device includes a plurality of LED prompt lights, which are distributed on the side of the first conveyor belt at one end of the production workshop. By distributing a plurality of LED prompt lights on the side of the first conveyor belt at one end of the production workshop, it is possible to realize the tracking alarm prompt of abnormal clothing on the feeding transmission device;

[0060] In order to meet the quality inspection requirements in the clothing production process, the control method of the automatic folding and packaging line of clothing based on machine vision also includes:

[0061] Receiving a second image captured by a second image acquisition device and sent by the first controller through the first communication module;

[0062] Using a pre-configured first analysis library, verify and analyze the second image to determine whether an abnormality occurs;

[0063] When an abnormality occurs, the position of the garment on the first conveyor belt is located according to the working parameters of the first conveyor belt and the position of the second image acquisition device corresponding to the second image;

[0064] The action of the first reminder device is controlled according to the positioning result.

[0065] The control method of the automatic folding and packaging line for clothing based on machine vision provided in this embodiment uses a second image acquisition device to identify and analyze the image of the finished clothing at the end of production placed on the feeding conveying device, checks out the unfinished clothing that is placed there, gives reminder instructions through the first reminder device, and locates it according to the working parameters of the first conveyor belt (for example: transmission speed), so as to realize the positioning reminder of abnormal clothing, which is more convenient for staff to handle. Among them, the first analysis library is pre-configured, and abnormal images are stored in the first analysis library and each abnormal image is associated with an abnormal description. The second image is matched with the abnormal image in the first analysis library. When there is a matching abnormal image, it is determined that an abnormality has occurred; based on the working parameters of the first conveyor belt and the position of the second image acquisition device corresponding to the second image, the position of the clothing on the first conveyor belt is located. The specific positioning can be based on the position of the second image acquisition device corresponding to the second image as the starting point of position tracking, and then the position is tracked at the transmission speed of the first conveyor belt. In addition, in order to track the position more accurately, the position of the clothing in the second image can be further accurately located based on the position of the second image acquisition device. Specifically, the coordinates of the center of the clothing in the second image can be used to query the pre-configured position correction library to determine the position correction value; after correcting the position of the second image acquisition device according to the position correction value, the position of the clothing is obtained. The first conveyor belt passes through multiple clothing production stations located in the production workshop in sequence. When the clothing placed on the first conveyor belt by the production station on the front side is abnormal, it is convenient for the production station on the rear side to take down the clothing for processing according to the prompt of the tracking alarm; in addition, in order to assist the processing of the station that takes down the clothing, the determined abnormal description can also be output to the prompt device (display) of the station.

[0066] Finally, after tracking and alarming the abnormal clothing, in order to prevent the abnormal products from flowing out, a robot arm can be set near the last production station of the first conveyor belt. When the abnormal clothing flows into the range of the robot arm, the robot arm grabs the abnormal clothing from the first conveyor belt and places it in the abnormal temporary storage area.

[0067] Example 3

[0068] Since the speed and number of workstations of the garments produced at the feeding end corresponding to each feeding conveying device are different, the number of garments conveyed by each feeding conveying device is different. If each feeding conveying device is used for constant speed conveying, there may be too many garments on some conveying devices to be sorted and identified in time, resulting in accumulation. In view of this situation, this embodiment proposes, based on the first embodiment, a control method for the automatic folding and packaging line of garments based on machine vision, which also includes:

[0069] receiving a third image captured by a third image acquisition device and sent by the first controller through the first communication module;

[0070] The third image is identified to determine the conveying conditions of the garments conveyed to the packaging workshop by each feeding conveying device; the third image is identified mainly to identify whether there are garments in the third image, and the conveying conditions are analyzed according to the recognition time and number of the third image of the identified garments; the conveying conditions include: the total number of garments conveyed within a preset time interval (for example, any time interval from 1 minute to 10 minutes), the average value of the distance between garments on the first conveyor belt, the maximum value, minimum value and variance of the distance between garments on the first conveyor belt, etc.; wherein, the distance between two adjacent garments is determined by multiplying the time difference between the acquisition times of two third images of garments continuously identified in the third image by the current conveying speed of the first conveyor belt;

[0071] The second image is identified to determine the feeding conditions of each feeding conveying device; the second image is identified mainly to identify whether there are clothes in the second image, and the conveying conditions are analyzed according to the identification time and number of the second image of the identified clothes; the specific analysis can construct an analysis axis, determine the corresponding position of the second image acquisition device on the analysis axis, determine the sliding speed of the position slide on the analysis axis according to the conveying speed of the feeding conveying device, and construct a clothing mapping body on the analysis axis according to the timing of identifying clothes in the second image acquired by each second image acquisition device, and then perform statistics on the clothing mapping body on the analysis axis to obtain the feeding conditions, which include: the total number of clothes placed on the first conveyor belt within a preset time interval (for example, any time interval from 1 minute to 10 minutes), the average value of the distance between clothes on the first conveyor belt, the maximum value, minimum value and variance of the distance between clothes on the first conveyor belt, etc.;

[0072] According to the pre-configured conveying device control library, the feeding situation and the conveying situation are analyzed to obtain the analysis results; the specific analysis process is as follows: a control analysis parameter set is constructed according to the feeding situation, the conveying situation and the current control parameters of the conveying device, and the control analysis parameter set is matched with the parameter set corresponding to each analysis result in the conveying device control library, so as to retrieve the corresponding analysis result by matching the result; wherein, each row of parameter data in the control analysis parameter set corresponds to a conveying device, the first column of data is the parameter corresponding to the conveying speed of the conveying device, the second column to the Nth column are the first parameters corresponding to the feeding situation, and the N+1th column to the 2N-1th column are the parameters corresponding to the conveying situation. Parameters; N is greater than or equal to 3; the second parameters include: parameters corresponding to the total number of garments placed on the first conveyor belt within a preset time interval (for example, any time interval from 1 minute to 10 minutes), parameters corresponding to the average value of the distance between garments on the first conveyor belt, and parameters corresponding to the maximum value, minimum value and variance of the distance between garments on the first conveyor belt; the second parameters include: parameters corresponding to the total number of garments conveyed within a preset time interval (for example, any time interval from 1 minute to 10 minutes), parameters corresponding to the average value of the distance between garments on the first conveyor belt, and parameters corresponding to the maximum value, minimum value and variance of the distance between garments on the first conveyor belt;

[0073] According to the analysis results, the operation of the first conveyor belt of each feeding and conveying device is controlled. Each parameter data in the analysis results is a control parameter corresponding to each feeding and conveying device, and the control parameters include: a parameter corresponding to the conveying speed.

[0074] The control method of the automatic folding and packaging line for clothing based on machine vision provided in this embodiment performs specific control according to the specific conditions of the clothing on each feeding and conveying device to ensure the effective and continuous operation of the classification device and the smooth and effective operation of the automatic folding and packaging line for clothing.

[0075] Among them, the specific situation of the clothes on the feed conveyor device can be analyzed by the third image to analyze the distribution of the clothes on the first conveyor belt when coming out of the production workshop (that is, the transportation situation of the clothes from the feed conveyor device to the packaging workshop) and the production situation of the clothes (that is, the feeding situation of the feed conveyor device) through the second image analysis.

[0076] Example 4

[0077] This embodiment is proposed on the basis of Embodiment 3. In order to cope with the possible fast clothing production speed that exceeds the effective processing speed of the classification device, in order to ensure the effective operation of the automatic folding and packaging line for clothing, the automatic folding and packaging line for clothing also includes: multiple clothing temporary storage devices, which are arranged one by one at the end of the feed transmission device located in the packaging workshop.

[0078] Wherein, the clothing temporary storage device comprises: a first grabbing manipulator and a clothing temporary storage rack;

[0079] Wherein, the first grabbing robot is arranged on one side of the first conveyor belt.

[0080] Wherein, the classification device comprises: a second grasping manipulator, a classification platform, a first image acquisition device, a second controller and a second communication module;

[0081] Among them, the second grasping robot grasps the clothes from the feeding conveying device and places them on the classification platform; the first image acquisition device acquires the first image of the clothes on the classification platform; the second controller classifies the clothes on the classification platform based on the pre-configured classification library and the first image, and controls the second grasping robot to grasp the clothes on the classification platform and place them on the corresponding conveying device according to the classification results.

[0082] This embodiment uses a clothing temporary storage device to further relieve the pressure of the classification device during the peak period of clothing production, and releases the temporary storage pressure during the low peak of clothing production (shift change, rest time), thereby ensuring the smooth operation of the clothing automatic folding and packaging line.

[0083] Example 5

[0084] The present invention also provides a control system for a clothing automatic folding and packaging line based on machine vision, such as Figure 2 As shown, it includes: a first control unit 1, a data acquisition unit 2 and an analysis unit 3;

[0085] Among them, the first control unit 1 controls the action of the feeding transmission device to transport the clothing from the production workshop to the classification device in the packaging workshop; the data acquisition unit 2 captures images of the clothing through the first image acquisition device of the classification device; the analysis unit 3 analyzes and identifies the captured first image, and controls the corresponding conveying device action according to the identification result to transport the clothing to the corresponding folding and packaging device for folding and packaging.

[0086] In addition, the control system of the automatic folding and packaging line of clothing based on machine vision also includes: an abnormality detection unit;

[0087] The anomaly detection unit performs the following operations:

[0088] Receiving a second image captured by a second image acquisition device and sent by the first controller through the first communication module;

[0089] Using a pre-configured first analysis library, verify and analyze the second image to determine whether an abnormality occurs;

[0090] When an abnormality occurs, the position of the garment on the first conveyor belt is located according to the working parameters of the first conveyor belt and the position of the second image acquisition device corresponding to the second image;

[0091] The action of the first reminder device is controlled according to the positioning result.

[0092] Due to the complexity of the production of garment factories, there are various situations, such as: when restarting production after a holiday and changing production lines, preset adjustments are required; the working parameters of the first conveyor belt can be preset through the preset module;

[0093] The preset module can adopt the following steps for the preset after all production plants are shut down:

[0094] Construct a reset analysis set based on the production data of each production plant and the status data of the folding and packaging device;

[0095] Matching the reset analysis set with the standard analysis sets corresponding to each reset parameter set in the pre-configured reset analysis library, and retrieving the reset parameter set according to the matching analysis result;

[0096] The operating parameters of each first conveyor belt are reset according to the reset parameter set.

[0097] Among them, the first to N-1 rows of data in the reset analysis set correspond to the parameters of the production data of each production plant, and the Nth row of data is the parameter corresponding to the status data of the folding and packaging device; the production data includes: the number of production stations, the unique identification code of the produced clothing, etc.; the unique identification code is pre-configured and associated with each clothing category; the status data includes: whether it can work normally, the unique identification code of the clothing that can be packaged and folded, and the folding efficiency range (the range determined by the minimum and maximum number of folds that can be folded per unit time).

[0098] Before starting a single production line, it is necessary to analyze the affordability of packaging classification to determine the clothing categories and number of opening stations that can be started. This can be achieved through the system's opening analysis module. The specific processing steps of the opening analysis module are as follows:

[0099] A reset analysis set is constructed based on the production data of each production plant and the status data of the folding and packaging device; when constructing the reset analysis set, when the production plant is not in operation, the data corresponding to the production plant is filled with the first preset value, and the data corresponding to the production plant to be analyzed is filled with the preset second preset value;

[0100] Matching the reset analysis set with the standard analysis set corresponding to each opening line parameter set in the pre-configured opening line analysis library, and retrieving the opening line parameter set according to the matching analysis result;

[0101] Analyze the thread opening parameter set to determine the clothing categories and the number of thread opening stations that can be threaded. Each row of data in the thread opening parameter set corresponds to a clothing category that can be threaded, the first data in each row is the unique identification code corresponding to the clothing category, and the second data is the maximum number of stations that can be threaded.

[0102] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A control method for an automatic folding and packaging line for clothing based on machine vision, which is applied to the automatic folding and packaging line for clothing. The automatic folding and packaging line for clothing includes: Multiple feeding and conveying devices, sorting devices, multiple conveying devices, multiple folding and packaging devices, characterized in that they include: Control the action of the feeding conveyor to transport the garments from the production workshop to the sorting device in the packaging workshop; Capturing images of the clothing by a first image acquisition device of the classification device; Analyze and identify the collected first image, and control the corresponding conveying device to convey the clothing to the corresponding folding and packaging device for folding and packaging according to the identification result; Wherein, the feed transmission device comprises: a first conveyor belt, a plurality of second image acquisition devices and a third image acquisition device, a first controller and a first communication module; Wherein, one end of the first conveyor belt is arranged in the production workshop, and the other end is arranged in the packaging workshop; The second image acquisition device is distributed and arranged on the side of the first conveyor belt at one end of the production workshop, and the arrangement position corresponds to the workstation of the last process of clothing production in the production workshop, and the second image acquisition device acquires the second image of the clothing placed on the first conveyor belt; The third image acquisition device is arranged at the position where the first conveyor belt extends out from the production workshop; The first controller is electrically connected to the first conveyor belt, the second image acquisition device, the third image acquisition device and the first communication module respectively; Also includes: receiving a third image captured by a third image acquisition device and sent by the first controller through the first communication module; Recognize the third image to determine the conveying conditions of the garments conveyed to the packaging workshop by each feeding conveying device; Recognize the second image to determine the feeding status of each feeding transmission device; Analyze the feeding and conveying conditions according to the pre-configured conveying device control library and obtain the analysis results; According to the analysis results, the operation of the first conveyor belt of each feeding transmission device is controlled; The conveying conditions include: the total number of garments conveyed within a preset time interval, the average value of the distance between garments on the first conveyor belt, the maximum value, the minimum value and the variance of the distance between garments on the first conveyor belt; The feeding conditions include: the total number of garments placed on the first conveyor belt within a preset time interval, the average value of the distance between garments on the first conveyor belt, the maximum value, the minimum value and the variance of the distance between garments on the first conveyor belt; According to the pre-configured conveyor control library, the feeding situation and the conveying situation are analyzed to obtain the analysis results; including: constructing a control analysis parameter set according to the feeding situation, the conveying situation and the current control parameters of the conveyor, matching the control analysis parameter set with the parameter set corresponding to each analysis result in the conveyor control library, and retrieving the corresponding analysis result by matching the result; wherein each row of parameter data in the control analysis parameter set corresponds to a conveyor, the first column of data is the parameter corresponding to the conveying speed of the conveyor, the second column to the Nth column are the first parameters corresponding to the feeding situation, and the N+1th column to the 2N-1th column are the parameters corresponding to the conveying situation; N is greater than or equal to 3; the second parameters include: the parameters corresponding to the total number of clothes placed on the first conveyor belt within a preset time interval, the parameters corresponding to the average value of the distance between clothes on the first conveyor belt, and the parameters corresponding to the maximum value, minimum value and variance of the distance between clothes on the first conveyor belt; the second parameters include: the parameters corresponding to the total number of clothes transported within a preset time interval, the parameters corresponding to the average value of the distance between clothes on the first conveyor belt, and the parameters corresponding to the maximum value, minimum value and variance of the distance between clothes on the first conveyor belt; The various parameter data in the analysis results are control parameters corresponding to the various feed transmission devices, and the control parameters include: parameters corresponding to the conveying speed.

2. The control method of the automatic folding and packaging line of clothing based on machine vision according to claim 1 is characterized in that: The feed transmission device also includes: a first reminder device; Wherein, the first reminder device includes a plurality of LED prompt lights, which are distributed on the side of the first conveyor belt at one end of the production workshop.

3. The control method of the automatic folding and packaging line of clothing based on machine vision according to claim 2 is characterized in that: Also includes: Receiving a second image captured by a second image acquisition device and sent by the first controller through the first communication module; Using a pre-configured first analysis library, performing verification analysis on the second image to determine whether an abnormality occurs; When an abnormality occurs, the position of the garment on the first conveyor belt is located according to the working parameters of the first conveyor belt and the position of the second image acquisition device corresponding to the second image; According to the positioning result, the action of the first reminder device is controlled.

4. The control method of the automatic folding and packaging line of clothing based on machine vision according to claim 3 is characterized in that: The automatic clothing packaging line also includes: a plurality of clothing temporary storage devices, which are arranged one by one at the end of the feeding transmission device located in the packaging workshop.

5. The control method of the automatic folding and packaging line of clothing based on machine vision according to claim 4 is characterized in that: The clothing temporary storage device comprises: a first grabbing manipulator and a clothing temporary storage rack; Wherein, the first grabbing robot is arranged on one side of the first conveyor belt.

6. The control method of the automatic folding and packaging line of clothing based on machine vision according to claim 1 is characterized in that: The classification device comprises: a second grasping manipulator, a classification platform, a first image acquisition device, a second controller and a second communication module; Among them, the second grasping robot grasps the clothes from the feeding conveying device and places them on the classification platform; the first image acquisition device acquires the first image of the clothes on the classification platform; the second controller classifies the clothes on the classification platform based on the pre-configured classification library and the first image, and controls the second grasping robot to grasp the clothes on the classification platform and place them on the corresponding conveying device according to the classification results.

7. A control system for an automatic folding and packaging line for clothing based on machine vision, characterized in that: include: A first control unit, a data acquisition unit and an analysis unit; Among them, the first control unit controls the action of the feeding transmission device to transport the clothing from the production workshop to the classification device in the packaging workshop; the data acquisition unit collects images of the clothing through the first image acquisition device of the classification device; the analysis unit analyzes and recognizes the collected first image, and controls the action of the corresponding conveying device according to the recognition result to transport the clothing to the corresponding folding and packaging device for folding and packaging; Wherein, the feed transmission device comprises: a first conveyor belt, a plurality of second image acquisition devices and a third image acquisition device, a first controller and a first communication module; Wherein, one end of the first conveyor belt is arranged in the production workshop, and the other end is arranged in the packaging workshop; The second image acquisition device is distributed and arranged on the side of the first conveyor belt at one end of the production workshop, and the arrangement position corresponds to the workstation of the last process of clothing production in the production workshop, and the second image acquisition device acquires the second image of the clothing placed on the first conveyor belt; The third image acquisition device is arranged at the position where the first conveyor belt extends out from the production workshop; The first controller is electrically connected to the first conveyor belt, the second image acquisition device, the third image acquisition device and the first communication module respectively; The analysis unit also performs the following operations: receiving a third image captured by a third image acquisition device and sent by the first controller through the first communication module; Recognize the third image to determine the conveying conditions of the garments conveyed to the packaging workshop by each feeding conveying device; Recognize the second image to determine the feeding status of each feeding transmission device; Analyze the feeding and conveying conditions according to the pre-configured conveying device control library and obtain the analysis results; According to the analysis results, the operation of the first conveyor belt of each feeding transmission device is controlled; The conveying conditions include: the total number of garments conveyed within a preset time interval, the average value of the distance between garments on the first conveyor belt, the maximum value, the minimum value and the variance of the distance between garments on the first conveyor belt; The feeding conditions include: the total number of garments placed on the first conveyor belt within a preset time interval, the average value of the distance between garments on the first conveyor belt, the maximum value, the minimum value and the variance of the distance between garments on the first conveyor belt; According to the pre-configured conveyor control library, the feeding situation and the conveying situation are analyzed to obtain the analysis results; including: constructing a control analysis parameter set according to the feeding situation, the conveying situation and the current control parameters of the conveyor, matching the control analysis parameter set with the parameter set corresponding to each analysis result in the conveyor control library, and retrieving the corresponding analysis result by matching the result; wherein each row of parameter data in the control analysis parameter set corresponds to a conveyor, the first column of data is the parameter corresponding to the conveying speed of the conveyor, the second column to the Nth column are the first parameters corresponding to the feeding situation, and the N+1th column to the 2N-1th column are the parameters corresponding to the conveying situation; N is greater than or equal to 3; the second parameters include: the parameters corresponding to the total number of clothes placed on the first conveyor belt within a preset time interval, the parameters corresponding to the average value of the distance between clothes on the first conveyor belt, and the parameters corresponding to the maximum value, minimum value and variance of the distance between clothes on the first conveyor belt; the second parameters include: the parameters corresponding to the total number of clothes transported within a preset time interval, the parameters corresponding to the average value of the distance between clothes on the first conveyor belt, and the parameters corresponding to the maximum value, minimum value and variance of the distance between clothes on the first conveyor belt; The various parameter data in the analysis results are control parameters corresponding to the various feed transmission devices, and the control parameters include: parameters corresponding to the conveying speed.

8. The control system of the automatic folding and packaging line of clothing based on machine vision according to claim 7 is characterized in that: Also includes: Anomaly detection unit; The anomaly detection unit performs the following operations: Receiving a second image captured by a second image acquisition device and sent by the first controller through the first communication module; Using a pre-configured first analysis library, performing verification analysis on the second image to determine whether an abnormality occurs; When an abnormality occurs, the position of the garment on the first conveyor belt is located according to the working parameters of the first conveyor belt and the position of the second image acquisition device corresponding to the second image; According to the positioning result, the action of the first reminder device is controlled.

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