A method and apparatus for quality control of a pile fabric made from recycled material

Abstract

The application discloses a method and device for quality control of preparing plush fabric by using recycled materials, comprising: obtaining the survival proportion of bacteria in bacterial culture solution on the plush fabric after a predetermined time period, obtaining the soaking time of a layer of fabric carrying metal ions in the plush fabric in a solution containing a predetermined concentration of metal ions during the production process of the plush fabric; obtaining the type of bacteria, and saving the type of bacteria, the survival proportion of bacteria and the soaking time as a group of training data; determining whether the number of saved training data groups exceeds a threshold value, and if the threshold value is exceeded, sending the saved multiple groups of training data to a machine learning training server for training to obtain a machine learning model. The application solves the problem that the existing technology is prone to bacterial contamination of the plush fabric, thereby improving the safety of the plush fabric to a certain extent.

Description

Technical Field

[0001] This application relates to the field of fabric manufacturing, and more specifically, to a method and apparatus for quality control of plush fabrics prepared using recycled materials. Background Technology

[0002] Plush fabrics have been widely used due to their unique appearance and feel.

[0003] While plush fabrics offer many advantages, the fibers can easily attract germs, posing a health risk to users. Currently, no suitable solution has been proposed to address this issue. Summary of the Invention

[0004] This application provides a method and apparatus for quality control of plush fabrics prepared using recycled materials, in order to at least solve the problem of plush fabrics being easily contaminated with pathogens in the prior art.

[0005] According to one aspect of this application, a method for quality control of a plush fabric prepared using recycled materials is provided, comprising: obtaining the bacterial survival rate in a bacterial culture medium on the plush fabric after a predetermined time period, wherein the plush fabric comprises: a first fabric layer, wherein the first fabric layer comprises: a fiber layer and a metal ion plating layer bonded to the fiber layer; a second fabric layer, wherein the second fabric layer has a plurality of pores, each pore being provided with plush material; a thermoplastic film for bonding the first fabric layer and the second fabric layer, wherein the thermoplastic film also has pores; and obtaining the plush material. During the fabric production process, the layer of the plush fabric carrying metal ions is immersed in a solution containing a predetermined concentration of metal ions for a specified time; the types of bacteria are obtained, and the types of bacteria, the survival rate of bacteria, and the immersion time are saved as a set of training data; it is determined whether the number of saved training data sets exceeds a threshold. If it exceeds the threshold, the multiple sets of saved training data are sent to a machine learning training server for training to obtain a machine learning model. The input of the machine learning model is the immersion time, and the output of the machine learning model is the survival rate of each type of bacteria after immersion for the specified immersion time.

[0006] Furthermore, the fiber layer is made of regenerated cellulose fibers and / or regenerated chemical fibers.

[0007] Furthermore, the metal ion is a copper ion.

[0008] Furthermore, the thermoplastic film is made of polyether-based polyurethane.

[0009] Furthermore, the raw materials used to make the second fabric layer include at least one of the following: polyethylene, polyethylene terephthalate, recycled polyethylene terephthalate, high molecular weight polyethylene, polyvinyl chloride, low molecular weight polyethylene, polypropylene, polystyrene, polyester, and polylactic acid.

[0010] According to another aspect of this application, a quality control device for preparing plush fabric using recycled materials is also provided, comprising: a first acquisition module for acquiring the bacterial survival rate in a bacterial culture medium on the plush fabric after a predetermined time period, wherein the plush fabric comprises: a first fabric layer, wherein the first fabric layer comprises: a fiber layer and a metal ion plating layer bonded to the fiber layer; a second fabric layer, wherein the second fabric layer has a plurality of pores, each pore being provided with plush material; a thermoplastic film for bonding the first fabric layer and the second fabric layer, wherein the thermoplastic film also has pores; and a second acquisition module for acquiring the... In the production process of the plush fabric, a layer of fabric carrying metal ions is immersed in a solution containing a predetermined concentration of metal ions for a specified time. A storage module is used to acquire the types of bacteria and store the types of bacteria, their survival rates, and the immersion time as a set of training data. A sending module is used to determine whether the number of stored training data sets exceeds a threshold. If it does, the multiple sets of stored training data are sent to a machine learning training server for training to obtain a machine learning model. The input of the machine learning model is the immersion time, and the output of the machine learning model is the survival rate of each type of bacteria after immersion for the specified time.

[0011] Furthermore, the fiber layer is made of regenerated cellulose fibers and / or regenerated chemical fibers.

[0012] Furthermore, the metal ion is a copper ion.

[0013] Furthermore, the thermoplastic film is made of polyether-based polyurethane.

[0014] Furthermore, the raw materials used to make the second fabric layer include at least one of the following: polyethylene, polyethylene terephthalate, recycled polyethylene terephthalate, high molecular weight polyethylene, polyvinyl chloride, low molecular weight polyethylene, polypropylene, polystyrene, polyester, and polylactic acid.

[0015] In this embodiment, the method involves obtaining the survival rate of bacteria in the bacterial culture solution on the plush fabric after a predetermined time period. The plush fabric comprises: a first layer of fabric, which includes a fiber layer and a metal ion plating layer bonded to the fiber layer; a second fabric layer, which has multiple pores, each pore containing plush material; and a thermoplastic film for bonding the first and second fabric layers, also having pores. The method involves obtaining the immersion time of the metal ion-carrying layer of the plush fabric in a solution containing a predetermined concentration of metal ions during the production process; obtaining the types of bacteria and saving the types of bacteria, their survival rate, and the immersion time as a set of training data; determining whether the number of saved training data sets exceeds a threshold; if it does, sending the multiple sets of training data to a machine learning training server for training to obtain a machine learning model, where the input of the machine learning model is the immersion time, and the output of the machine learning model is the survival rate of each type of bacteria after the immersion time. This application solves the problem of existing technology where plush fabrics are easily contaminated with germs, thereby improving the safety of plush fabrics to a certain extent. Attached Figure Description

[0016] The accompanying drawings, which form part of this application, are used to provide a further understanding of this application. The illustrative embodiments and descriptions of this application are used to explain this application and do not constitute an undue limitation of this application. In the drawings: Figure 1 This is a flowchart of a method for preparing plush fabric using recycled materials according to an embodiment of this application.

[0017] Figure 2 This is a flowchart of a method for quality control of a plush fabric prepared using recycled materials according to an embodiment of this application. Detailed Implementation

[0018] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0019] It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases the steps shown or described may be executed in a different order than that shown here.

[0020] This embodiment provides a plush fabric prepared using recycled materials, comprising: a first layer of fabric, wherein the first layer of fabric includes: a fiber layer and a plating layer including metal ions bonded to the fiber layer; a second fabric layer, wherein the second fabric layer is provided with a plurality of holes, each hole being provided with plush material; and a thermoplastic film for bonding the first layer of fabric and the second fabric layer, wherein the thermoplastic film is also provided with holes.

[0021] For example, the fiber layer is made of regenerated cellulose fibers and / or regenerated chemical fibers. Preferably, the metal ion is a copper ion. Preferably, the thermoplastic film is made of polyether-based polyurethane.

[0022] The recycled polyester fiber can be prepared by the following method: Step 1: After sorting, removing labels, and preliminarily cleaning the recycled polyester bottles, crush them into PET chips. Then, saturate-dry the obtained PET chips at a temperature of 150-160°C and a vacuum degree greater than 0.098MPa for 12-15 hours. Step 2: Add 0.1-0.15wt‰ whitening powder, 0.5-0.9wt‰ zinc oxide powder, and 3-5wt% polyester chain extender to the dried PET chips from Step 1. After mixing evenly, spin the mixture at a temperature of 260-285°C, a pressure of 3-6MPa, and a spinning speed of 1000-1200m / min. The process involves spinning nascent fiber bundles under specific conditions to obtain nascent fiber bundles. These bundles are then air-dried at an air velocity of 0.5-0.9 m / s and an air temperature of 22-28°C. In step two, the air-dried nascent fiber bundles are immersed in a composite oil agent at a temperature of 75°C and a concentration of 3-5 wt%, and then sequentially drawn through a first, second, and third drawing roller. In step four, the drawn nascent fiber bundles from step three are immersed in a composite oil agent at a concentration of 75°C and a concentration of 3-5 wt%, and then dried and set at a temperature of 130-145°C for 30-35 minutes. The resulting fibers are then cut, packaged, and processed to produce recycled polyester staple fibers.

[0023] Preferably, the raw materials used to make the second fabric layer include at least one of the following: polyethylene, polyethylene terephthalate, recycled polyethylene terephthalate, high molecular weight polyethylene, polyvinyl chloride, low molecular weight polyethylene, polypropylene, polystyrene, polyester, and polylactic acid.

[0024] This embodiment also provides a method for preparing a plush fabric using recycled materials, for preparing the aforementioned plush fabric. Figure 1 This is a flowchart of a method for preparing plush fabric using recycled materials according to an embodiment of this application, such as... Figure 1 As shown, the method includes the following steps: Step S102: Prepare a fiber layer and a coating, wherein the fiber layer is made of a first material, the coating is made of a second material, and the coating includes metal ions; Step S104: The fiber layer and the coating are bonded together to obtain a first layer of fabric; plush is implanted into the holes configured in the second fabric layer; Step S106: The first layer of fabric and the second fabric layer are bonded together using a thermoplastic film to obtain a plush fabric.

[0025] Optionally, the fiber layer is made of regenerated cellulose fibers and / or regenerated chemical fibers, preferably regenerated polyester fibers. Optionally, the metal ion is copper ion. Optionally, the thermoplastic film is made of polyether-based polyurethane. Optionally, the raw materials for making the second fabric layer include at least one of the following: polyethylene, polyethylene terephthalate, recycled polyethylene terephthalate, high molecular weight polyethylene, polyvinyl chloride, low molecular weight polyethylene, polypropylene, polystyrene, polyester, and polylactic acid.

[0026] The above steps solve the problem of plush fabrics being easily contaminated with germs in existing technologies, thereby improving the safety of plush fabrics to a certain extent.

[0027] This embodiment also provides a method for quality control of plush fabrics prepared using recycled materials. Figure 2 This is a flowchart illustrating a quality control method for preparing plush fabric using recycled materials according to an embodiment of this application, such as... Figure 2 As shown, the process includes the following steps: Step S202: Obtain the bacterial survival rate in the bacterial culture solution on the plush fabric after a predetermined time period. The plush fabric comprises: a first layer of fabric, which includes a fiber layer and a metal ion plating layer bonded to the fiber layer; a second fabric layer, which has multiple pores, each pore containing plush material; and a thermoplastic film for bonding the first layer of fabric and the second fabric layer, wherein the thermoplastic film also has pores. Step S204: Obtain the immersion time of the layer of fabric carrying metal ions in a solution containing a predetermined concentration of metal ions during the production process of the plush fabric. Step S206: Obtain the types of bacteria, and save the types of bacteria, the survival rate of bacteria, and the soaking time as a set of training data; Step S208: Determine whether the number of saved training data sets exceeds a threshold. If it exceeds the threshold, send the saved multiple sets of training data to the machine learning training server for training to obtain a machine learning model. The input of the machine learning model is the soaking time, and the output of the machine learning model is the survival rate of each type of bacteria after soaking for the soaking time.

[0028] By following the steps above, the soaking time can be determined based on the survival rate of bacteria. If the soaking time exceeds the threshold, it will cause a loss of fabric flexibility. Therefore, the soaking time can be reasonably evaluated through the above steps to improve the sterilization effect of the fabric without affecting its flexibility.

[0029] A predetermined time is set for immersing the aforementioned plush fabric in a solution containing metal ions. After immersion, the plush fabric is subjected to a quality test to obtain quality parameters. Different quality parameters are obtained based on different predetermined immersion times, and a curve between immersion time and quality parameters is obtained by fitting the curve. Multiple sets of immersion times are obtained based on the curve and the machine learning model.

[0030] The multiple soaking times are sent to the user for selection, and the soaking is performed according to the user's selection.

[0031] In this embodiment, an electronic device is provided, including a memory and a processor. The memory stores a computer program, and the processor is configured to run the computer program to perform the methods described in the above embodiments.

[0032] The aforementioned program can run on a processor or be stored in memory (or computer-readable medium). Computer-readable medium includes both permanent and non-permanent, removable and non-removable media, and information storage can be achieved by any method or technology. Information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable medium does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0033] These computer programs may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps specified in one or more boxes can be implemented by different modules for different steps. This embodiment provides such a device, referred to as a quality control device for preparing plush fabric using recycled materials, comprising: a first acquisition module for acquiring the bacterial survival rate in the bacterial culture medium on the plush fabric after a predetermined time period, wherein the plush fabric comprises: a first layer of fabric, wherein the first layer of fabric comprises: a fiber layer and a metal ion plating layer bonded to the fiber layer; a second fabric layer, wherein the second fabric layer has multiple pores, each pore containing plush material; a thermoplastic film for bonding the first fabric layer and the second fabric layer, wherein the thermoplastic film also has pores; and a second acquisition module for... The system includes a module for obtaining the soaking time of a layer of the plush fabric carrying metal ions in a solution containing a predetermined concentration of metal ions during the production process; a storage module for obtaining the types of bacteria and storing the types of bacteria, the survival rate of bacteria, and the soaking time as a set of training data; and a sending module for determining whether the number of saved training data sets exceeds a threshold. If it exceeds the threshold, the system sends the multiple sets of saved training data to a machine learning training server for training to obtain a machine learning model. The input of the machine learning model is the soaking time, and the output of the machine learning model is the survival rate of each type of bacteria after soaking for the specified soaking time.

[0034] The system or apparatus is used to implement the functions of the methods in the above embodiments. Each module in the system or apparatus corresponds to each step in the method, as has been described in the method and will not be repeated here.

[0035] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A method for treating bacteria in the preparation of plush fabric using recycled materials, characterized in that, include: The survival rate of bacteria in the bacterial culture solution on the plush fabric is obtained after a predetermined time period. The plush fabric comprises: a first layer of fabric, which includes a fiber layer and a metal ion-containing plating layer bonded to the fiber layer; a second fabric layer, which has multiple pores, each pore containing plush material; and a thermoplastic film for bonding the first and second fabric layers, which also has pores. The plush fabric is manufactured through the following steps: preparing the fiber layer and the plating layer, wherein the fiber layer is made of a first material, the plating layer is made of a second material, and the plating layer contains metal ions; bonding the fiber layer and the plating layer to obtain the first layer of fabric; inserting plush material into the pores in the second fabric layer; and bonding the first and second fabric layers together using the thermoplastic film to obtain the plush fabric. The soaking time of a layer of the plush fabric carrying metal ions in a solution containing a predetermined concentration of metal ions is obtained during the production process of the plush fabric. The types of bacteria are obtained, and the types of bacteria, the survival rate of bacteria, and the soaking time are saved as a set of training data. Determine whether the number of saved training data sets exceeds a threshold. If it does, send the saved training data sets to the machine learning training server for training to obtain a machine learning model. The input of the machine learning model is the soaking time, and the output of the machine learning model is the survival rate of each type of bacteria after soaking for the soaking time. Specifically, the process involves obtaining a predetermined soaking time for the aforementioned plush fabric in a solution containing metal ions, performing a quality test on the plush fabric after soaking to obtain quality parameters, fitting different quality parameters obtained based on different predetermined soaking times to obtain a curve between soaking time and quality parameters, and obtaining multiple sets of soaking times based on the curve and the machine learning model. The soaking time is determined based on the percentage of bacteria that survive.

2. The method according to claim 1, characterized in that, The metal ion is a copper ion.

3. The method according to claim 1, characterized in that, The thermoplastic film is made of polyether-based polyurethane.

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