A method, device, computer equipment and storage medium for treating textiles using plasma

Abstract

The present invention relates to the field of textile modification, and discloses a method, device, computer equipment and storage medium for treating textiles using plasma. The method comprises: placing a textile sample in a test chamber, treating it according to preset treatment conditions, and obtaining a treated sample; obtaining the treatment effect of each area in the treated sample; if there is a treatment effect that meets the treatment requirements, obtaining the target equivalent coefficient of the area corresponding to the treatment effect that meets the treatment requirements; determining the target treatment condition of the treatment chamber according to the preset treatment conditions and the target equivalent coefficient; and treating the textile corresponding to the textile sample according to the target treatment condition. The present invention tests the textile sample in the test chamber to obtain the treatment effect, and one test is equivalent to performing multiple conventional tests, which greatly reduces the time cost of obtaining plasma processing parameters and improves the modification quality of the textile.

Description

Technical Field

[0001] The present invention relates to the field of textile modification, and in particular to a method, device, computer equipment and storage medium for treating textiles using plasma. Background Art

[0002] Low-temperature plasma is generated by gas discharge at low pressure or normal pressure, and contains a variety of active particles such as highly active free radicals, ions, electrons, and excited molecules. After these active particles come into contact with the fiber surface, they can trigger oxidation reactions, cross-linking reactions or other surface chemical reactions, thereby changing the physical and chemical properties of the fiber surface.

[0003] When using plasma to modify textiles, it is necessary to select appropriate processing parameters to achieve a good modification effect. In the prior art, the processing parameters of plasma generally need to be obtained through multiple experiments, and the acquisition time cost is high. In some cases, the processing parameters can also be selected according to the physicochemical characteristics of the textile, but such processing parameters generally cannot achieve the optimization of plasma modification. Summary of the invention

[0004] Based on this, it is necessary to provide a method, device, computer equipment and storage medium for using plasma to treat textiles in order to reduce the time cost of obtaining plasma processing parameters and improve the modification quality of textiles in response to the above technical problems.

[0005] A method for treating textiles using plasma, the method being applied to a plasma treatment device, the plasma treatment device comprising a test chamber and a treatment chamber; the test chamber being provided with a non-uniform plasma generator;

[0006] The method comprises:

[0007] Placing a textile sample into the test chamber and treating it according to preset treatment conditions to obtain a treated sample;

[0008] Obtaining treatment effects of various regions in the treated sample;

[0009] If there is a processing effect that meets the processing requirements, then obtaining a target equivalent coefficient of a region corresponding to the processing effect that meets the processing requirements;

[0010] Determining a target processing condition of the processing chamber according to the preset processing condition and the target equivalent coefficient;

[0011] A textile corresponding to the textile sample is processed according to the target processing condition.

[0012] A device for treating textiles using plasma, the device comprising a plasma treatment device, the plasma treatment device comprising a test chamber and a treatment chamber; the test chamber is provided with a non-uniform plasma generator;

[0013] The device comprises:

[0014] A sample acquisition module is used to place a textile sample into the test chamber, process it according to preset processing conditions, and obtain a processed sample;

[0015] A processing effect acquisition module is used to acquire the processing effect of each area in the processed sample;

[0016] A target equivalent coefficient acquisition module is used to acquire a target equivalent coefficient of a region corresponding to the processing effect that meets the processing requirement if there is a processing effect that meets the processing requirement;

[0017] A target processing condition determination module, used to determine the target processing condition of the processing chamber according to the preset processing condition and the target equivalent coefficient;

[0018] A textile processing module is used to process the textile corresponding to the textile sample according to the target processing condition. A computer device includes a memory, a processor, and computer readable instructions stored in the memory and executable on the processor, wherein the processor implements the method for treating textile using plasma when executing the computer readable instructions.

[0019] One or more readable storage media storing computer readable instructions, when the computer readable instructions are executed by one or more processors, cause the one or more processors to perform the method for treating textiles using plasma as described above.

[0020] The above-mentioned method, device, computer equipment and storage medium for treating textiles using plasma test textile samples through a test chamber to obtain the treatment effect. One test is equivalent to conducting multiple conventional tests, which greatly reduces the time cost of obtaining plasma processing parameters and improves the modified quality of textiles. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0022] Figure 1 is a schematic diagram of a process of a method for treating textiles using plasma in one embodiment of the present invention;

[0023] Figure 2 is a schematic structural diagram of an apparatus for treating textiles using plasma in one embodiment of the present invention;

[0024] Figure 3 is a schematic diagram of a computer device in one embodiment of the present invention. DETAILED DESCRIPTION

[0025] 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 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.

[0026] In one embodiment, a method for treating a textile using plasma is provided. The method is applied to a plasma treatment device, wherein the plasma treatment device comprises a test chamber and a treatment chamber; the test chamber is provided with a non-uniform plasma generator.

[0027] It is understandable that the plasma treatment device is provided with a test chamber and a treatment chamber. The test chamber is used to treat the textile sample to obtain the treated sample, so as to determine the treatment conditions of the treatment chamber according to the treatment effect of the treated sample. Both the test chamber and the treatment chamber are provided with a plasma generator. Among them, the test chamber is provided with a uniform plasma generator to make the textile in the chamber be treated uniformly; the test chamber is provided with a non-uniform plasma generator. In some examples, the plasma generator can be a plasma generator suitable for treating textiles, such as a radio frequency plasma generator. The uniform plasma generator can use a flat electrode, a mesh electrode, a tubular electrode, a spiral coil electrode, etc.

[0028] The non-uniform plasma generator can use rod electrodes, multi-needle electrodes, etc., or it can use flat electrodes, mesh electrodes, tubular electrodes, spiral coil electrodes, etc. that have been modified to cause uneven plasma intensity. For flat electrodes, the flat electrode can be made non-parallel to the textile sample, or the flat electrode can be bent to a certain extent, resulting in a difference in the distance between the flat electrode and the textile sample, and the plasma intensity acting on different areas of the textile sample is different. For mesh electrodes, mesh electrodes with uneven mesh density distribution can be selected. For tubular electrodes, the radius of one end of the tube can be made larger than the radius of the other end, resulting in uneven plasma intensity acting on the textile sample. In one example, the difference in plasma intensity generated by a non-uniform plasma generator can be 3 to 20 times.

[0029] like Figure 1As shown, the method of treating textiles using plasma includes S10-S50.

[0030] S10, placing the textile sample into the test chamber, and treating it according to preset treatment conditions to obtain a treated sample.

[0031] Understandably, the textile sample can be laid flat in the test chamber, and the textile sample can be subjected to a certain tensile force by the stretching mechanism. The magnitude of the tensile force is substantially the same as the tensile force borne by the textile in the processing chamber. The non-uniform plasma generator in the test chamber is used for processing to obtain a processed sample. The preset processing conditions can be selected according to the material and processing requirements of the textile. The preset processing conditions include, but are not limited to, power, processing time, gas type, gas type, and air pressure.

[0032] S20, obtaining the processing effect of each area in the processed sample.

[0033] Understandably, the treated sample can be divided into multiple areas, and a performance test can be performed on each area to obtain the treatment effect of each area. Here, the corresponding performance test can be selected according to the actual treatment requirements. The performance test includes but is not limited to wetting performance, adhesion performance, dyeing performance, antistatic performance, fiber strength, antistatic performance, air permeability and moisture permeability. For example, if the treatment requirement is to improve the wetting performance, the performance test performed is the wetting performance test to obtain the corresponding wetting performance data, such as water absorption performance, wetting speed, contact angle, wetting area, wetting grade or waterproof grade, etc. Here, the area of ​​the textile sample is large, and each area is divided into small samples for performance testing.

[0034] S30. If there is a processing effect that meets the processing requirement, obtain a target equivalent coefficient of a region corresponding to the processing effect that meets the processing requirement.

[0035] Understandably, the treatment effect of each area can be analyzed to determine whether the treatment effect meets the treatment requirements. The treatment requirements can be set according to the actual treatment requirements. For example, if the treatment requirement is to improve the dyeing ability of the textile, the treatment requirement can be that the color fastness and dyeing depth of the textile sample dyeing reach the target requirements.

[0036] If the treatment effect meets the treatment requirements, it means that the plasma intensity of the area is appropriate. If the treatment effect does not meet the treatment requirements, it means that the plasma intensity of the area is inappropriate. Since the test chamber uses a non-uniform plasma generator, the treatment effects of each area are different, and each area has a corresponding equivalent coefficient. The equivalent coefficient of the area where the treatment effect meets the treatment requirements is the target equivalent coefficient, and the target equivalent coefficient can be expressed as N times the preset treatment condition, where N is a positive number. For example, in a textile sample, the equivalent coefficient of area 1 is 0.8, the equivalent coefficient of area 2 is 2, the equivalent coefficient of area 3 is 1.2, and the equivalent coefficient of area 4 is 1.5. Among them, the treatment effect of area 4 meets the treatment requirements, and the target equivalent coefficient is 1.5.

[0037] The equivalent coefficient can be determined based on historical test data and is an empirical value. It should be noted that the equivalent coefficient of a certain area changes with the processing conditions and textile materials. For example, under a certain processing condition, if the material of the textile sample is A, the equivalent coefficient of area 1 is a, and if the material of the textile sample is B, the equivalent coefficient of area 1 is b. Generally, a≠b.

[0038] S40, determining the target processing condition of the processing chamber according to the preset processing condition and the target equivalent coefficient.

[0039] It can be understood that the preset processing condition is represented by T1, the target processing condition of the processing chamber is represented by T2, and the target equivalent coefficient is represented by η. In one example, the target processing condition of the processing chamber can be represented as:

[0040]

[0041] In another example, considering the difference between the processing bin and the test bin, the target processing condition of the processing bin can be expressed as:

[0042]

[0043] Among them, γ is the compensation coefficient of the processing chamber, and this value needs to be calibrated regularly.

[0044] S50: Processing the textile corresponding to the textile sample according to the target processing condition.

[0045] It is understandable that after the target processing conditions are obtained, the textile corresponding to the textile sample can be processed according to the target processing conditions so that the textile obtains the best modified quality. Here, the textile sample is a sample taken from the textile to be processed.

[0046] In this embodiment, the textile samples are tested in the test chamber to obtain the treatment effect. One test is equivalent to multiple conventional tests, which greatly reduces the time cost of obtaining plasma processing parameters and improves the modified quality of the textile.

[0047] Optionally, step S20, i.e. obtaining the processing effect of each area in the processed sample, includes:

[0048] S201, obtaining an enlarged image of each area in the processed sample;

[0049] S202, performing a performance test on the sample area where the enlarged image has been obtained to obtain the processing effect; the performance test includes at least one of wetting performance, adhesion performance, dyeing performance, antistatic performance, fiber strength, antistatic performance, air permeability and moisture permeability.

[0050] Understandably, after obtaining the treated sample, the magnified image of the treated sample can be scanned first to obtain the magnified image of each region. For example, the treated sample can be scanned using a scanning electron microscope to obtain the magnified image of the treated sample.

[0051] After obtaining the magnified image, the performance test can be performed on each sample area to obtain the corresponding treatment effect. The performance test includes but is not limited to wetting performance, adhesion performance, dyeing performance, antistatic performance, fiber strength, antistatic performance, air permeability and moisture permeability. The corresponding performance test can be selected according to the actual modification requirements.

[0052] Optionally, step S30, i.e., obtaining a target equivalent coefficient of a region corresponding to the processing effect meeting the processing requirement, includes:

[0053] S301, obtaining an initial magnified image of the textile sample;

[0054] S302, processing the initial magnified image and the magnified image by a processing degree evaluation model to obtain surface processing degree data of each area;

[0055] S303, processing the surface treatment degree data, the preset treatment conditions and the physical and chemical characteristics of the textile sample through an equivalent coefficient model to obtain an equivalent coefficient of each region;

[0056] S304: Determine the equivalent coefficient of the area corresponding to the processing effect that meets the processing requirement as the target equivalent coefficient.

[0057] Understandably, before the textile sample is placed in the test chamber, the textile sample is scanned using a scanning electron microscope to obtain an initial magnified image. After the textile sample is tested, it becomes a treated sample, and the treated sample is scanned using a scanning electron microscope to obtain an enlarged image. The treatment degree evaluation model is a pre-constructed image processing analysis model that can analyze the difference between the initial magnified image and the magnified image, and then obtain the surface treatment degree data of each area. The surface treatment degree data can include the morphological difference state of the fibers in the area.

[0058] The equivalent coefficient model can be an equivalent model constructed based on historical test data. The equivalent coefficient model can calculate the equivalent coefficient of the area according to the surface treatment degree data of the area, the preset treatment conditions and the physical and chemical characteristics of the textile sample. The equivalent coefficient of the area where the treatment effect that meets the treatment requirements is located is the target equivalent coefficient. It should be noted that the number of areas where the treatment effect that meets the treatment requirements is located can be greater than 1. When the number of areas where the treatment effect that meets the treatment requirements is located is greater than 1, it means that for the textile sample, the range of conditions for achieving the treatment effect is relatively wide, and any equivalent coefficient that meets the requirements can be selected at this time. The number of areas where the treatment effect that meets the treatment requirements is equal to 1, which means that for the textile sample, the range of conditions for achieving the treatment effect is relatively narrow. When the number of areas where the treatment effect that meets the treatment requirements is equal to 0, the current treatment conditions need to be changed.

[0059] This embodiment can accurately calculate the target equivalent coefficient through the equivalent coefficient model, greatly reducing the time cost of obtaining plasma processing parameters.

[0060] Optionally, step S302, i.e., before the initial magnified image and the magnified image are processed by the processing degree evaluation model to obtain surface processing degree data of each area, further includes:

[0061] S3021, obtaining historical processing sample data; the historical processing sample data includes a plurality of historical processing samples, each of which includes a historical magnified image and historical surface processing degree data;

[0062] S3022. Use the historical processing sample data to train a preset network model to obtain the processing degree evaluation model.

[0063] Understandably, the preset network model can be trained using historical processing sample data to obtain a processing degree evaluation model. The historical initial samples can be tested using different processing conditions in the test chamber to obtain multiple historical processing samples and collect corresponding historical processing sample data. The historical surface processing degree data can be the label data of the historical magnified image, such as fiber morphology type, degree of change, etc. During the training process, the model parameters of the preset network model are updated through continuous iterative calculation until the loss value of the model is less than the preset threshold, the training is determined to be completed, and the processing degree evaluation model is obtained.

[0064] This embodiment uses historical processing sample data to construct a processing degree evaluation model, which greatly improves the efficiency of obtaining surface processing degree data of each area, while ensuring the accuracy of the surface processing degree data.

[0065] Optionally, before step S303, that is, before the surface treatment degree data, the preset treatment conditions and the physicochemical characteristics of the textile sample are processed by the equivalent coefficient model to obtain the equivalent coefficient of each area, the method further includes:

[0066] S3031. Obtain historical test data of the test warehouse and standard test data of the processing warehouse;

[0067] S3032. Construct the equivalent coefficient model according to the historical test data and the standard test data.

[0068] Understandably, historical test data of the test chamber and standard test data of the processing chamber can be obtained. The standard test data of the processing chamber contains magnified images of the textile before and after treatment under multiple treatment conditions. If the surface treatment degree data in the historical test data is the same as the surface treatment degree data in the standard test data, it can be considered that their treatment conditions are the same. Based on the simulation model of plasma-treated textiles, historical test data and standard test data are used for calibration to obtain an equivalent coefficient model. The equivalent coefficient model can predict the equivalent coefficient of each area based on the surface treatment degree data, preset treatment conditions and the physicochemical characteristics of the textile sample.

[0069] This embodiment provides a process for constructing an equivalent coefficient model.

[0070] Optionally, after step S3032, that is, after constructing the equivalent coefficient model according to the historical test data and the standard test data, the method further includes:

[0071] S3033, detecting whether the processing environment of the processing chamber meets the preset requirements;

[0072] S3034. If the processing environment of the processing chamber does not meet the preset requirements, place the calibration sample into the processing chamber for testing to obtain calibration test data;

[0073] S3035. Update the equivalent coefficient model according to the correction test data.

[0074] Understandably, it is necessary to keep the processing chamber in a stable processing environment, that is, to meet the preset requirements. The preset requirements can be set according to actual needs. If the processing environment of the processing chamber changes, that is, it does not meet the preset requirements, the environment of the processing chamber needs to be recalibrated. A suitable calibration sample can be selected, and then the calibration sample is placed in the processing chamber for testing, and the calibration test data is obtained, and finally the equivalent coefficient model is updated using the calibration test data.

[0075] This embodiment updates the equivalent coefficient model by correcting the test data, thereby ensuring the accuracy of deriving the target processing conditions using the processing samples.

[0076] Optionally, step S3033, namely, detecting whether the processing environment of the processing chamber meets preset requirements, includes:

[0077] S30331. When the number of times the processing chamber is used for correction is greater than a preset number threshold, the working time of the processing chamber is greater than a preset time threshold and / or a change occurs to the plasma generator in the processing chamber, it is determined that the processing environment of the processing chamber does not meet the preset requirements.

[0078] Understandably, the number of times the processing chamber is used after correction refers to the number of times the processing chamber is used after correction. The preset number threshold can be set according to actual needs, and the threshold is related to the attenuation characteristics of the non-uniform plasma generator. When the number of times the processing chamber is used after correction is greater than the preset number threshold, it means that the processing environment of the current processing chamber is unstable and does not meet the preset requirements, and further correction is required.

[0079] As the working time of the processing chamber increases, the performance of the non-uniform plasma generator will decay to a certain extent. The preset time threshold can be set according to actual needs. When the working time of the processing chamber is greater than the preset time threshold, it means that the processing environment of the current processing chamber is unstable and does not meet the preset requirements, and further correction is required.

[0080] When the plasma generator in the processing chamber is changed, its impact on various areas of the textile sample will change, and the calibration sample needs to be calibrated.

[0081] This embodiment detects the processing environment of the processing chamber to ensure the accuracy of deriving the target processing conditions using the processing samples.

[0082] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0083] In one embodiment, a device for treating textiles using plasma is provided, and the device for treating textiles using plasma corresponds to the method for treating textiles using plasma in the above embodiment. Figure 2 As shown, the device for treating textiles using plasma comprises a plasma treatment device, wherein the plasma treatment device comprises a test chamber and a treatment chamber; the test chamber is provided with a non-uniform plasma generator;

[0084] The device comprises:

[0085] A sample acquisition module 10 is used to place a textile sample into the test chamber and process it according to preset processing conditions to obtain a processed sample;

[0086] A processing effect acquisition module 20 is used to acquire the processing effect of each area in the processed sample;

[0087] The target equivalent coefficient acquisition module 30 is used to acquire the target equivalent coefficient of the area corresponding to the processing effect that meets the processing requirement if there is a processing effect that meets the processing requirement;

[0088] A target processing condition determination module 40 is used to determine the target processing condition of the processing chamber according to the preset processing condition and the target equivalent coefficient;

[0089] The textile processing module 50 is used to process the textile corresponding to the textile sample according to the target processing condition.

[0090] Optionally, the processing effect acquisition module 20 includes:

[0091] An enlarged image acquisition unit, used for acquiring enlarged images of various areas in the processed sample;

[0092] A performance testing unit is used to perform a performance test on the sample area where the enlarged image has been obtained to obtain the processing effect; the performance test includes at least one of wetting performance, adhesion performance, dyeing performance, antistatic performance, fiber strength, antistatic performance, air permeability and moisture permeability.

[0093] Optionally, the target equivalent coefficient acquisition module 30 includes:

[0094] An initial magnified image acquisition unit, used for acquiring an initial magnified image of the textile sample;

[0095] A surface treatment data acquisition unit is used to process the initial magnified image and the magnified image through a treatment degree evaluation model to obtain surface treatment degree data of each area;

[0096] An equivalent coefficient acquisition unit is used to process the surface treatment degree data, the preset treatment conditions and the physical and chemical characteristics of the textile sample through an equivalent coefficient model to obtain an equivalent coefficient of each area;

[0097] The target equivalent coefficient acquisition unit is used to determine the equivalent coefficient of the area corresponding to the processing effect that meets the processing requirement as the target equivalent coefficient.

[0098] Optionally, the target equivalent coefficient acquisition module 30 further includes:

[0099] A historical data acquisition unit is used to acquire historical processing sample data; the historical processing sample data includes a plurality of historical processing samples, each of which includes a historical magnified image and historical surface processing degree data;

[0100] A processing degree evaluation model is constructed to train a preset network model using the historical processing sample data to obtain the processing degree evaluation model.

[0101] Optionally, the target equivalent coefficient acquisition module 30 further includes:

[0102] A test data acquisition unit is used to acquire historical test data of the test warehouse and standard test data of the processing warehouse;

[0103] The equivalent coefficient model building unit is used to build the equivalent coefficient model according to the historical test data and the standard test data.

[0104] Optionally, the target equivalent coefficient acquisition module 30 further includes:

[0105] A detection environment unit, used to detect whether the processing environment of the processing chamber meets the preset requirements;

[0106] A calibration test data acquisition unit is used to place a calibration sample into the processing chamber for testing to acquire calibration test data if the processing environment of the processing chamber does not meet the preset requirements;

[0107] A model updating unit is used to update the equivalent coefficient model according to the correction test data.

[0108] Optionally, the detection environment unit is further used to:

[0109] When the number of times the processing chamber is calibrated is greater than a preset number threshold, the working time of the processing chamber is greater than a preset time threshold and / or a plasma generator in the processing chamber is changed, it is determined that the processing environment of the processing chamber does not meet the preset requirements.

[0110] The specific definition of the apparatus for treating textiles using plasma can be found in the definition of the method for treating textiles using plasma above, and will not be repeated here. Each module in the apparatus for treating textiles using plasma can be implemented in whole or in part by software, hardware, and a combination thereof. Each of the above modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0111] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 3 As shown. The computer device includes a processor, a memory, a network interface and a database connected via a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a readable storage medium and an internal memory. The readable storage medium stores an operating system, computer-readable instructions and a database. The internal memory provides an environment for the operation of the operating system and computer-readable instructions in the readable storage medium. The database of the computer device is used to store data involved in the method of using plasma to treat textiles. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer-readable instructions are executed by the processor, a method for using plasma to treat textiles is implemented. The readable storage medium provided in this embodiment includes a non-volatile readable storage medium and a volatile readable storage medium.

[0112] In one embodiment, a computer device is provided, including a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor, wherein the processor executes the computer-readable instructions to implement the following steps:

[0113] Put the textile sample into the test chamber and process it according to the preset processing conditions to obtain the processed sample;

[0114] Obtaining treatment effects of various regions in the treated sample;

[0115] If there is a processing effect that meets the processing requirements, then obtaining a target equivalent coefficient of a region corresponding to the processing effect that meets the processing requirements;

[0116] Determining a target processing condition of the processing chamber according to the preset processing condition and the target equivalent coefficient;

[0117] A textile corresponding to the textile sample is processed according to the target processing condition.

[0118] In one embodiment, one or more computer-readable storage media storing computer-readable instructions are provided. The readable storage media provided in this embodiment include non-volatile readable storage media and volatile readable storage media. The readable storage media store computer-readable instructions, and when the computer-readable instructions are executed by one or more processors, the following steps are implemented:

[0119] Put the textile sample into the test chamber and process it according to the preset processing conditions to obtain the processed sample;

[0120] Obtaining treatment effects of various regions in the treated sample;

[0121] If there is a processing effect that meets the processing requirements, then obtaining a target equivalent coefficient of a region corresponding to the processing effect that meets the processing requirements;

[0122] Determining a target processing condition of the processing chamber according to the preset processing condition and the target equivalent coefficient;

[0123] A textile corresponding to the textile sample is processed according to the target processing condition.

[0124] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing related hardware through computer-readable instructions, and the computer-readable instructions can be stored in a non-volatile readable storage medium or a volatile readable storage medium. When the computer-readable instructions are executed, they may include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0125] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0126] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A method for treating textiles using plasma, characterized in that: The method is applied to a plasma processing device, which includes a test chamber and a processing chamber; the test chamber is provided with a non-uniform plasma generator; The method comprises: Placing a textile sample into the test chamber and treating it according to preset treatment conditions to obtain a treated sample; Obtaining treatment effects of various regions in the treated sample; If there is a processing effect that meets the processing requirements, then obtaining a target equivalent coefficient of a region corresponding to the processing effect that meets the processing requirements; Determining a target processing condition of the processing chamber according to the preset processing condition and the target equivalent coefficient; processing a textile corresponding to the textile sample according to the target processing condition; The obtaining of the processing effect of each area in the processed sample comprises: Acquiring magnified images of various regions in the treated sample; Performing a performance test on the sample area where the enlarged image has been obtained to obtain the treatment effect; the performance test includes at least one of wettability, adhesion performance, dyeing performance, antistatic performance, fiber strength, antistatic performance, air permeability and moisture permeability; The obtaining of a target equivalent coefficient of a region corresponding to the processing effect meeting the processing requirement includes: acquiring an initial magnified image of the textile sample; Processing the initial magnified image and the magnified images of each area in the processed sample by a processing degree evaluation model to obtain surface processing degree data of each area; Processing the surface treatment degree data, the preset treatment conditions and the physicochemical characteristics of the textile sample through an equivalent coefficient model to obtain an equivalent coefficient of each region; Determine the equivalent coefficient of the area corresponding to the processing effect that meets the processing requirement as the target equivalent coefficient; Before the initial magnified image and the magnified images of each region in the sample are processed by the processing degree evaluation model to obtain the surface treatment degree data of each region, the method further includes: Acquire historical processing sample data; the historical processing sample data includes a plurality of historical processing samples, each of which includes a historical magnified image and historical surface processing degree data; The preset network model is trained using the historical processing sample data to obtain the processing degree evaluation model.

2. The method for treating textiles using plasma according to claim 1, characterized in that: Before the surface treatment degree data, the preset treatment conditions and the physical and chemical characteristics of the textile sample are processed by the equivalent coefficient model to obtain the equivalent coefficient of each area, the method further includes: Obtain historical test data of the test warehouse and standard test data of the processing warehouse; The equivalent coefficient model is constructed according to the historical test data and the standard test data.

3. The method for treating textiles using plasma according to claim 2, characterized in that: After constructing the equivalent coefficient model according to the historical test data and the standard test data, the method further includes: Detecting whether the processing environment of the processing chamber meets the preset requirements; If the processing environment of the processing chamber does not meet the preset requirements, a calibration sample is placed in the processing chamber for testing to obtain calibration test data; The equivalent coefficient model is updated according to the corrected test data.

4. The method for treating textiles using plasma according to claim 3, characterized in that: The detecting whether the processing environment of the processing chamber meets the preset requirements includes: When the number of times the processing chamber is calibrated is greater than a preset number threshold, the working time of the processing chamber is greater than a preset time threshold and / or a plasma generator in the processing chamber is changed, it is determined that the processing environment of the processing chamber does not meet the preset requirements.

5. A device for treating textiles using plasma, characterized in that: The device comprises a plasma processing device, the plasma processing device comprises a test chamber and a processing chamber; the test chamber is provided with a non-uniform plasma generator; The device comprises: A sample acquisition module is used to place a textile sample into the test chamber, process it according to preset processing conditions, and obtain a processed sample; A processing effect acquisition module is used to acquire the processing effect of each area in the processed sample; A target equivalent coefficient acquisition module is used to acquire a target equivalent coefficient of a region corresponding to the processing effect that meets the processing requirement if there is a processing effect that meets the processing requirement; A target processing condition determination module, used to determine the target processing condition of the processing chamber according to the preset processing condition and the target equivalent coefficient; a textile processing module, configured to process the textile corresponding to the textile sample according to the target processing condition; The processing effect acquisition module includes: An enlarged image acquisition unit, used for acquiring enlarged images of various areas in the processed sample; a performance testing unit, used to perform a performance test on the sample area where the magnified image has been obtained to obtain the treatment effect; the performance test includes at least one of wettability, adhesion performance, dyeing performance, antistatic performance, fiber strength, antistatic performance, air permeability and moisture permeability; The module for obtaining target equivalent coefficients includes: An initial magnified image acquisition unit, used for acquiring an initial magnified image of the textile sample; A surface treatment data acquisition unit is used to process the initial magnified image and the magnified image of each area in the processed sample through a treatment degree evaluation model to obtain surface treatment degree data of each area; An equivalent coefficient acquisition unit is used to process the surface treatment degree data, the preset treatment conditions and the physical and chemical characteristics of the textile sample through an equivalent coefficient model to obtain an equivalent coefficient of each area; A target equivalent coefficient acquisition unit is used to determine the equivalent coefficient of the area corresponding to the processing effect that meets the processing requirement as the target equivalent coefficient; The module for obtaining target equivalent coefficients also includes: A historical data acquisition unit is used to acquire historical processing sample data; the historical processing sample data includes a plurality of historical processing samples, each of which includes a historical magnified image and historical surface processing degree data; A processing degree evaluation model is constructed to train a preset network model using the historical processing sample data to obtain the processing degree evaluation model.

6. A computer device comprising a memory, a processor, and computer-readable instructions stored in the memory and executed on the processor, characterized in that: When the processor executes the computer-readable instructions, the method for treating textiles using plasma as claimed in any one of claims 1 to 4 is implemented.

7. One or more readable storage media storing computer readable instructions, which, when executed by one or more processors, cause the one or more processors to perform the method for treating textiles using plasma as claimed in any one of claims 1 to 4.

Images