Preparation process optimization method and system and yoga clothing antibacterial breathable fabric

Abstract

The invention provides a preparation process optimization method and system and a yoga clothing antibacterial breathable fabric, and belongs to the technical field of process optimizing.The preparation process optimization method specifically comprises the steps that on the basis of equipment parameters of production batches with abnormal quality, when it is determined that the adjustment adaptation degree of an automatic adjustment scheme in a strategy library meets the requirement, the automatic adjustment scheme is automatically adjusted; according to the equipment parameters in the adjustment processing demand state in the production process, the adjustment data of the production equipment of the automatic adjustment scheme is determined, and the automatic adjustment scheme corresponding to the adjustment processing process is determined based on the adjustment data, the quality inspection result and the quality inspection result of the fabric in the production process. And on the basis of the adjustment data of the automatic adjustment scheme in the adjustment processing demand state, the adding targets of the strategy library of the automatic adjustment scheme under different quality inspection results are determined, so that the production quality of the fabric is improved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of process optimization, and particularly relates to a preparation process optimization method, system and antibacterial and breathable fabric of yoga clothing. BACKGROUND

[0002] In order to improve the process quality of textiles, in the invention patent application CN202410945798.0 "A shirt manufacturing process optimization method", the manufacturing process optimization of key process positions is realized through the analysis and processing of the fit degree, the precision of the shirt manufacturing process is improved, the best matching of the shaped insert and the main fabric of the shirt is ensured, and the technical effects of improving the quality of the finished shirt and the wearing comfort are achieved.

[0003] The prior art scheme implants polyamide fibers through a spinning process by using OPHB bio-based antibacterial stock solution to improve the antibacterial effect, and adopts silver ion antibacterial agent padding treatment and dyeing auxiliary optimization to improve the air permeability effect, so it involves multiple process flows such as textiles and dip dyeing. When adjusting the equipment parameters of the production equipment, the prior art scheme often adopts manual adjustment, which inevitably leads to the difficulty of meeting the requirements of the fabric quality. Therefore, when the quality inspection result is abnormal, automatic adjustment of the equipment parameters is required under the corresponding equipment running state. Therefore, it becomes a technical problem to be solved to determine the automatic adjustment scheme in combination with the quality inspection data to reduce the number of adjustment equipment during the automatic adjustment process, so as to improve the fabric quality.

[0004] To solve the above technical problems, the application provides a preparation process optimization method, system and antibacterial and breathable fabric of yoga clothing. SUMMARY

[0005] To achieve the purpose of the application, the application adopts the following technical solutions:

[0006] Specifically, the application provides a preparation process optimization method, which specifically includes:

[0007] S1, based on the quality inspection result of the fabric, determining the equipment parameters of the production equipment corresponding to the fabric whose quality inspection result meets the requirements, generating an automatic adjustment scheme based on the similarity of the equipment parameters and the adjustment processing requirement state of the equipment parameters of the production equipment;

[0008] S2, based on the equipment parameters of the quality abnormal production batch, determining the adjustment adaptation degree of the automatic adjustment scheme in the strategy library, and when the adjustment adaptation degree meets the requirements, determining the adjustment data of the production equipment of the automatic adjustment scheme according to the equipment parameters in the adjustment processing requirement state in the production process, and determining the automatic adjustment scheme corresponding to the adjustment processing process based on the adjustment data, the quality inspection result and the quality inspection result of the fabric in the production process;

[0009] S3 determines the joining target of the strategy library of the automatic adjustment scheme under different quality inspection results based on the adjustment data of the automatic adjustment scheme in the adjustment processing demand state.

[0010] The present application has the following beneficial effects:

[0011] Based on the equipment parameters of the quality abnormal production batch, the adjustment adaptation degree of the automatic adjustment scheme in the strategy library is determined to meet the requirements, thereby realizing the adjustment matching of the equipment parameters of the production equipment from the automatic adjustment scheme in the strategy library and the adjustment processing demand state of the quality abnormal production batch, determining the adaptation degree of the automatic adjustment scheme in the strategy library, and further realizing the determination of the joining scheme of the differentiated automatic adjustment scheme strategy library according to the difference in the adaptation degree, and ensuring the reliability of the adjustment processing of the production equipment.

[0012] Based on the adjustment data of the automatic adjustment scheme in the adjustment processing demand state, the joining target of the strategy library of the automatic adjustment scheme under different quality inspection results is determined, realizing the evaluation of the use matching of the strategy library from the number of production equipment that needs to be adjusted in the adjustment processing demand state, and also considering the similarity of the equipment parameters corresponding to the quality inspection results and the existing automatic adjustment scheme and the adjustment adaptation of the similar automatic adjustment scheme, and further realizing the determination of the joining target of the strategy library of the automatic adjustment scheme, and further improving the adaptation degree of the strategy library.

[0013] Further, the quality inspection results include the antibacterial rate of 150 times of water washing and the air permeability of the fabric.

[0014] Further, the quality inspection results meeting the requirements include the antibacterial rate of 150 times of water washing ≥95% and the air permeance resistance ≤120 Pa·s / m.

[0015] Further, the method for generating the automatic adjustment scheme is:

[0016] The equipment parameters of the production equipment corresponding to the fabric with the quality inspection results meeting the requirements are the optimization parameters;

[0017] According to the similarity of the optimization parameters and the equipment parameters of the production equipment in the adjustment processing demand state, the production equipment with the deviation rate of the optimization parameters and the equipment parameters of the production equipment in the adjustment processing demand state meeting the requirements is determined.

[0018] According to the production equipment with the different adjustment processing demand state deviation rate meeting the requirements, it is determined whether the optimization parameters can be used as the automatic adjustment scheme.

[0019] Further, the method for determining the joining target of the strategy library of the automatic adjustment scheme is:

[0020] determine the number of adjustment processing demand states using the automatic adjustment scheme based on the adjustment data of the adjustment processing demand states using the automatic adjustment scheme;

[0021] determine the number of adjustment devices of the adjustment processing demand states using the automatic adjustment scheme based on the adjustment data of the adjustment processing demand states using the automatic adjustment scheme;

[0022] determine the joining target of the strategy library of the automatic adjustment scheme under different quality inspection results based on the number of adjustment processing demand states using the automatic adjustment scheme and the number of adjustment devices of the adjustment processing demand states using the automatic adjustment scheme.

[0023] In a second aspect, the present application provides a computer system, comprising a memory and a processor connected in communication, and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to perform the above-mentioned process optimization method.

[0024] In a third aspect, the present application provides a yoga corrosion antibacterial breathable fabric, which is prepared by the above-mentioned process optimization method, and specifically comprises: the fabric has a bacteria inhibition rate of 95% or more and a breathable resistance of 120 Pa·s / m or less after 150 times of washing.

[0025] Other features and advantages will be set forth in the following description of the application, and in part will be apparent from the description and the accompanying drawings, or can be learned by practice of the application as claimed in the claims.

[0026] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the following preferred embodiments are specifically described in detail below, and the accompanying drawings are referred to. BRIEF DESCRIPTION OF DRAWINGS

[0027] The above-mentioned and other features and advantages of the present application will become more apparent by describing in detail example embodiments thereof with reference to the attached drawings.

[0028] Figure 1 is a flowchart of a process optimization method;

[0029] Figure 2 is a flowchart of a method for generating an automatic adjustment scheme;

[0030] Figure 3 is a flowchart of a method for determining an automatic adjustment scheme corresponding to an adjustment process;

[0031] Figure 4 is a framework diagram of a computer system. DETAILED DESCRIPTION

[0032] In order for those skilled in the art to better understand the technical solutions in the specification, the technical solutions in the specification will be clearly and completely described below in conjunction with the drawings in the specification. Obviously, the described embodiments are only part of the embodiments of the specification, not all. Based on the embodiments of the specification, all other embodiments obtained by those of ordinary skill in the art without creative labor should be within the scope of protection of the specification.

[0033] Embodiment 1 As Figure 1 indicated, the application provides a production process optimization method, which specifically comprises:

[0034] S1 determines the equipment parameters of the production equipment corresponding to the fabric whose quality inspection result meets the requirements based on the quality inspection result, and generates an automatic adjustment scheme based on the similarity of the adjustment processing requirement state of the equipment parameters and the equipment parameters of the production equipment;

[0035] Further, the quality inspection result includes the antibacterial rate of the fabric after 150 times of washing and the air permeability.

[0036] Further, the quality inspection result meeting the requirements includes that the antibacterial rate after 150 times of washing is greater than or equal to 95%, and the air permeance resistance is less than or equal to 120 Pa·s / m.

[0037] It can be understood that the adjustment processing requirement state is the adjustment of the equipment parameters of the production equipment when the quality inspection result does not meet the requirements, that is, the running state of the production equipment corresponding to the equipment parameters of the production equipment when the fabric whose quality inspection result does not meet the requirements is produced, that is, all production equipment is in the running state of the production equipment under the equipment parameters of the production equipment when the fabric whose quality inspection result does not meet the requirements is produced, or the deviation rate of all production equipment from the equipment parameters of the production equipment when the fabric whose quality inspection result does not meet the requirements is produced is less than 1%, then the above running state is taken as the adjustment processing requirement state.

[0038] Specifically, the production equipment includes a spinning machine, a knitting machine, a circular machine, a warp knitting machine, a dyeing and finishing device, a setting machine, and a calender.

[0039] It should be noted that the equipment parameters of the production equipment corresponding to the fabric are the equipment parameters of the production equipment in the production process of the fabric.

[0040] Specifically, as Figure 2 indicated, the method for generating the automatic adjustment scheme is:

[0041] The equipment parameters of the production equipment corresponding to the fabric whose quality inspection result meets the requirements are the optimization parameters;

[0042] According to the similarity of the adjustment processing demand state of the optimization parameter and the equipment parameter of the production equipment, the production equipment whose deviation rate of the adjustment processing demand state of the optimization parameter and the equipment parameter meets the requirement is determined;

[0043] According to the production equipment whose deviation rate of different adjustment processing demand states meets the requirement, it is determined whether the optimization parameter can be used as an automatic adjustment scheme.

[0044] It should be noted that the production equipment whose deviation rate meets the requirement is the production equipment whose ratio of the deviation amount of the optimization parameter and the equipment parameter of the production equipment to the equipment parameter of the production equipment is less than a threshold value, i.e. 1%.

[0045] Further, when the number of adjustment processing demand states of the production equipment whose deviation rate meets the requirement meets the requirement, i.e. is large, it is determined that the optimization parameter can be used as an automatic adjustment scheme. In a possible embodiment, when the proportion of the number of adjustment processing demand states of the production equipment whose deviation rate meets the requirement in all adjustment processing demand states in the history is greater than 0.1, it is determined that the optimization parameter can be used as an automatic adjustment scheme.

[0046] Optionally, the method for generating the automatic adjustment scheme comprises:

[0047] The equipment parameter of the production equipment corresponding to the fabric whose quality inspection result meets the requirement is the optimization parameter;

[0048] According to the similarity of the adjustment processing demand state of the optimization parameter and the equipment parameter of the production equipment, the production equipment whose deviation rate of the adjustment processing demand state of the optimization parameter and the equipment parameter meets the requirement is determined;

[0049] According to the number of production equipment whose deviation rate of different adjustment processing demand states meets the requirement, the available adjustment process is determined, and the number of available adjustment processes is used to determine whether the optimization parameter can be used as an automatic adjustment scheme.

[0050] It should be noted that the available adjustment process is the adjustment processing demand state in which the number of production equipment whose deviation rate meets the requirement is more than 3, and when the ratio of the number of available adjustment processes to the number of all adjustment processing demand states in the history is greater than 0.05, it is determined that the optimization parameter can be used as an automatic adjustment scheme.

[0051] S2 determines the adjustment data of the production equipment of the automatic adjustment scheme according to the equipment parameter in the adjustment processing demand state in the production process when the adjustment adaptation degree of the automatic adjustment scheme in the strategy library meets the requirement based on the equipment parameter of the quality abnormal production batch, and determines the automatic adjustment scheme corresponding to the adjustment processing process based on the adjustment data, the quality inspection result and the quality inspection result of the fabric in the production process;

[0052] Further, the quality abnormal production batch is a production batch in which the proportion of fabric quantity whose quality inspection result does not meet the requirement is large. In one possible implementation, if the proportion of fabric quantity whose quality inspection result does not meet the requirement in the production batch is more than 10%, the production batch is determined as the quality abnormal production batch.

[0053] Further, the adjustment adaptation degree of the automatic adjustment scheme in the strategy library meets the requirement, specifically including:

[0054] determining, with the equipment parameters of the quality abnormal production batch, an adjustment processing demand state of the automatic adjustment scheme that exists in the quality abnormal production batch and adapts to the quality abnormal production batch;

[0055] determining, according to the adjustment processing demand state of the automatic adjustment scheme that exists in the quality abnormal production batch and adapts to the quality abnormal production batch, whether the adjustment adaptation degree of the automatic adjustment scheme in the strategy library meets the requirement.

[0056] It can be understood that the automatic adjustment scheme that adapts to the adjustment processing demand state is an automatic adjustment scheme in which the adjustment rates of the equipment parameters of different production equipment meet the requirement. Specifically, when the adjustment is performed by using the automatic adjustment scheme, the adjustment rates of the equipment parameters of different production equipment are all less than 2%, and then the automatic adjustment scheme is determined as the automatic adjustment scheme that adapts to the adjustment processing demand state.

[0057] It should be noted that the adjustment rate of the equipment parameter is determined by the ratio of the absolute value of the deviation of the equipment parameter of the production equipment and the equipment parameter corresponding to the automatic adjustment scheme to the equipment parameter of the production equipment.

[0058] It should be noted that when the number of the adjustment processing demand states of the automatic adjustment scheme that exists in different quality abnormal production batches and adapts to the quality abnormal production batch meets the requirement, the adjustment adaptation degree of the automatic adjustment scheme in the strategy library is determined as meeting the requirement. Specifically, when 80% of the adjustment processing demand states in different quality abnormal production batches belong to the adjustment processing demand states of the automatic adjustment scheme that exists in the quality abnormal production batch and adapts to the quality abnormal production batch, the number of the adjustment processing demand states of the automatic adjustment scheme that exists in different quality abnormal production batches and adapts to the quality abnormal production batch is determined as meeting the requirement.

[0059] Optionally, the adjustment adaptation degree of the automatic adjustment scheme in the strategy library meets the requirement, specifically including:

[0060] determining, with the equipment parameters of the quality abnormal production batch, an adjustment processing demand state of the automatic adjustment scheme that exists in the quality abnormal production batch and adapts to the quality abnormal production batch, and taking the adjustment processing demand state as an adaptive adjustment processing demand state;

[0061] The weight values ​​for different quality defect production batches are determined based on the number of adjustment and processing requirements in different quality defect production batches.

[0062] Based on the weight values ​​and the number of adaptation and adjustment processing requirements in different quality-abnormal production batches, determine whether the adaptation degree of the automatic adjustment schemes in the strategy library meets the requirements.

[0063] It should be noted that the weight values ​​of the different quality-abnormal production batches are obtained after normalization based on the number of adjustment and processing requirements in the different quality-abnormal production batches.

[0064] It is understood that, based on the weight values ​​and the number of adaptation and adjustment processing requirements in different quality-abnormal production batches, the degree of adaptation of the automatic adjustment schemes in the strategy library is determined to meet the requirements, specifically including:

[0065] When the sum of the weights of the number of adaptation and adjustment processing requirements in different quality-abnormal production batches is greater than a preset weight threshold, it is determined that the adaptation degree of the automatic adjustment scheme in the strategy library meets the requirements.

[0066] Optionally, the adaptation value of different quality-abnormal production batches is determined by the proportion of the number of adaptation adjustment and processing requirement states in different quality-abnormal production batches to the total number of adjustment and processing requirement states. When the sum of the products of the adaptation values ​​and weight values ​​in different quality-abnormal production batches is greater than 0.7, it is determined that the degree of adjustment and adaptation of the automatic adjustment scheme in the strategy library meets the requirements.

[0067] Specifically, such as Figure 3 As shown, the method for determining the automatic adjustment scheme corresponding to the adjustment process is as follows:

[0068] Based on the adjustment data, determine the number of production equipment that needs to be adjusted using the automatic adjustment scheme in the adjustment process, and use this number as the number of equipment to be adjusted.

[0069] It is understood that the production equipment that needs adjustment is the production equipment whose current equipment parameters deviate significantly from the adjustment target of the equipment parameters corresponding to the automatic adjustment scheme. It is also understood that each automatic adjustment scheme has a corresponding target for the equipment parameters of the generating equipment that needs adjustment. If the deviation rate between the current equipment parameters and the target for equipment parameter adjustment is greater than 1%, then the production equipment is determined to be the production equipment that needs adjustment. In one possible embodiment, the deviation rate is determined based on the ratio of the absolute value of the deviation between the equipment parameters and the target for equipment parameter adjustment to the current equipment parameters.

[0070] determining that the yield of the quality inspection result in the current production batch does not meet the requirement;

[0071] adjusting the number of devices and the quality inspection result based on the yield of the quality inspection result in the current production batch, and determining the automatic adjustment scheme corresponding to the adjustment process.

[0072] It can be understood that adjusting the number of devices and the quality inspection result based on the yield of the quality inspection result in the current production batch, and determining the automatic adjustment scheme corresponding to the adjustment process, specifically includes:

[0073] adjusting the number of devices based on the automatic adjustment scheme to obtain an automatic adjustment scheme in which the number of devices meets the requirement;

[0074] In a possible embodiment, when the number of devices is not greater than 4, it is determined that the automatic adjustment scheme is the automatic adjustment scheme in which the number of devices meets the requirement;

[0075] If the yield of the quality inspection result in the current production batch does not meet the requirement, i.e., the yield of the quality inspection result in the current production batch accounts for more than 0.1, the automatic adjustment scheme in which the number of devices meets the requirement and the quality inspection result is optimal is taken as the automatic adjustment scheme corresponding to the adjustment process.

[0076] In a possible embodiment, the automatic adjustment scheme in which the number of devices meets the requirement and the quality inspection result is optimal is the automatic adjustment scheme in which the number of devices is the smallest in the sorting result of the antibacterial rate after washing 150 times and the sorting result of the air permeability resistance.

[0077] It should be noted that if there are automatic adjustment schemes A / B / C in which the number of devices meets the requirement, and if the sorting results of the antibacterial rate after washing 150 times of the automatic adjustment schemes A / B / C are 1, 2, and 3 respectively, and the sorting results of the air permeability resistance are 2, 3, and 1 respectively, the automatic adjustment scheme A in which the number of devices meets the requirement and the quality inspection result is optimal.

[0078] If the yield of the quality inspection result in the current production batch meets the requirement, the automatic adjustment scheme in which the number of devices is the smallest is taken as the automatic adjustment scheme corresponding to the adjustment process.

[0079] S3 determines the joining target of the strategy library of the automatic adjustment scheme under different quality inspection results based on the adjustment data of the automatic adjustment scheme in the adjustment process requirement state.

[0080] Further, the method for determining the joining target of the policy library of the automatic adjustment scheme is:

[0081] determining the number of adjustment processing demand states using the automatic adjustment scheme based on the adjustment data of the automatic adjustment scheme in the adjustment processing demand state;

[0082] determining the number of adjustment devices of the adjustment processing demand state using the automatic adjustment scheme based on the adjustment data of the adjustment processing demand state using the automatic adjustment scheme;

[0083] determining the joining target of the policy library of the automatic adjustment scheme under different quality inspection results based on the number of adjustment processing demand states using the automatic adjustment scheme and the number of adjustment devices of the adjustment processing demand state using the automatic adjustment scheme.

[0084] It can be understood that, based on the number of adjustment processing demand states using the automatic adjustment scheme and the number of adjustment devices of the adjustment processing demand state using the automatic adjustment scheme, the joining target of the policy library of the automatic adjustment scheme under different quality inspection results is determined, specifically including:

[0085] determining the average value of the number of adjustment devices of different adjustment processing demand states based on the number of adjustment devices of the adjustment processing demand state using different automatic adjustment schemes, and when the average value of the number of adjustment devices of different adjustment processing demand states does not meet the requirement, the device parameter of the production equipment corresponding to the fabric with the quality inspection result meeting the requirement and the adjustment processing demand state of the production equipment with the deviation rate meeting the requirement are determined as the automatic adjustment scheme, that is, the joining target of the policy library of the automatic adjustment scheme, which is essentially the way of determining the automatic adjustment scheme in step S1, that is, the automatic adjustment schemes meeting the conditions are all added, and the joining target of the policy library of the automatic adjustment scheme is periodically determined, which is determined once in each production batch in a possible embodiment.

[0086] In a possible embodiment, when the average value of the number of adjustment devices of different adjustment processing demand states is not less than 3, it is determined that the average value of the number of adjustment devices of different adjustment processing demand states does not meet the requirement.

[0087] In another possible embodiment, if the average of the number of adjustment devices for different adjustment processing needs meets the requirements, then the number of adjustment devices for different adjustment processing needs is small at this time, and the adaptation degree of the existing strategy library can meet the requirements, and therefore, if the automatic adjustment processing of the adjustment processing needs is performed according to the automatic adjustment scheme of the strategy library, and the proportion of the fabric whose quality inspection result does not meet the requirements in the current production batch is not less than 0.05, then the number of adjustment processing needs of the production equipment whose device parameters corresponding to the fabric whose quality inspection result meets the requirements and the deviation rate from the device parameters meet the requirements meets the requirements, the device parameters of the production equipment corresponding to the fabric whose quality inspection result meets the requirements are taken as the automatic adjustment scheme, that is, the joining target of the strategy library of the automatic adjustment scheme, and the way of determining the automatic adjustment scheme in step S1 is essentially the same, that is, the automatic adjustment scheme that meets the conditions is added, and the joining target of the strategy library of the automatic adjustment scheme is periodically performed again. In a possible embodiment, the determination is performed once for each production batch.

[0088] In addition, it can be understood that if the automatic adjustment processing of the adjustment processing needs is performed according to the automatic adjustment scheme of the strategy library, and the proportion of the fabric whose quality inspection result does not meet the requirements in the current production batch is less than 0.05, then the device parameters of the production equipment corresponding to the fabric whose quality inspection result meets the requirements are taken as the optimization parameters, and the number of adjustment processing needs of the production equipment whose deviation rate from the optimization parameters meets the requirements meets the requirements, that is, the optimization parameters of the automatic adjustment scheme in step S1 meet the requirements, and if the optimization parameters are inconsistent with the adjustment targets of the device parameters corresponding to different automatic adjustment schemes, that is, the number of production equipment whose absolute value of the deviation rate of the adjustment targets of the device parameters corresponding to different automatic adjustment schemes is greater than 2% is not less than 2, then the optimization parameters are added as the automatic adjustment scheme.

[0089] If the optimization parameters have corresponding automatic adjustment schemes that are consistent with the adjustment targets of the device parameters, then the automatic adjustment scheme in which the number of production equipment whose absolute value of the deviation rate of the adjustment targets of the device parameters from the optimization parameters is greater than 2% is less than 2 is taken as a similar adjustment scheme, and when the average of the number of adjustment devices in the adjustment processing needs of the similar adjustment scheme is greater than 3, the optimization parameters are added as the automatic adjustment scheme, and otherwise, the similar adjustment scheme is not the joining target of the strategy library of the automatic adjustment scheme.

[0090] Specifically, the adjustment target of the device parameters corresponding to the automatic adjustment scheme is essentially the optimization parameters of different production equipment forming the automatic adjustment scheme.

[0091] Optionally, the method for determining the target to be added to the strategy library of the automatic adjustment scheme is as follows:

[0092] The number of adjustment processing demand states using the automatic adjustment scheme is determined based on the adjustment data of the automatic adjustment scheme in the adjustment processing demand state.

[0093] Based on the adjustment data of the adjustment processing demand status using the automatic adjustment scheme, determine the number of adjustment devices for the adjustment processing demand status using the automatic adjustment scheme;

[0094] Based on the number of adjustment processing requirements using different automatic adjustment schemes, the target for adding automatic adjustment schemes to the strategy library under different quality inspection results is determined.

[0095] Optionally, when the average number of adjustment devices in different adjustment processing demand states does not meet the requirements, the equipment parameters of the production equipment corresponding to the fabric with satisfactory quality inspection results and the deviation rate between the equipment parameters and the production equipment with satisfactory quality inspection results are used as the automatic adjustment scheme, which is the target for adding to the strategy library of the automatic adjustment scheme. Essentially, this is the method of determining the automatic adjustment scheme in step S1. That is, all automatic adjustment schemes that meet the conditions are added to it, and the target for adding to the strategy library of the automatic adjustment scheme is determined periodically. In one possible embodiment, it is determined once for each production batch. In other cases, there is no need to adjust the strategy library of the automatic adjustment scheme. That is, it cannot be used as the target for adding to the strategy library of the automatic adjustment scheme under any circumstances.

[0096] Example 2 Secondly, such as Figure 4 As shown, the present invention provides a computer system, including: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-described manufacturing process optimization method when running the computer program.

[0097] Example 3 Thirdly, this application provides a yoga corrosion-resistant antibacterial and breathable fabric, which adopts the above-mentioned optimized preparation process method, specifically including: the fabric has an antibacterial rate of ≥95% after 150 washes and an air permeability resistance of ≤120Pa·s / m.

[0098] The various embodiments in this specification describe the application in progressive stages. Each stage builds upon the previous stages, and each stage can be described in terms of the differences between that stage and the previous stage. For example, the device, apparatus, and non-transitory computer storage medium embodiments are described more quickly because they are substantially similar to the method embodiments. The relevant portions of the method embodiments are referenced.

[0099] The above description describes certain embodiments of the application. Other embodiments are within the scope of the following claims. In some cases, the actions recited in the claims can be performed in a different order and still achieve desirable results. Additionally, the processes depicted in the figures do not necessarily require the particular order shown or sequential order to achieve desirable results. In certain implementations, multitasking and parallel processing can be advantageous.

[0100] The above description only describes one or more embodiments of the application and is not meant to limit the application. Those skilled in the art will be able to make various modifications and variations without departing from the spirit and scope of one or more embodiments of the application. Any modification, substitution, improvement, and the like that fall within the spirit and principle of one or more embodiments of the application should be included in the scope of the claims of the application.

Claims

1. A process optimization method for preparing, characterized by, Specifically comprising: Based on the quality inspection result of the fabric, the equipment parameters of the production equipment corresponding to the fabric whose quality inspection result meets the requirements are determined, and based on the similarity of the adjustment processing demand state of the equipment parameters and the equipment parameters of the production equipment, an automatic adjustment scheme is generated; When the adjustment adaptation degree of the automatic adjustment scheme in the strategy library meets the requirements based on the equipment parameters of the quality abnormal production batch, the adjustment data of the production equipment of the automatic adjustment scheme is determined according to the equipment parameters in the adjustment processing demand state in the production process, and the automatic adjustment scheme corresponding to the adjustment processing process is determined based on the adjustment data, the quality inspection result and the quality inspection result of the fabric in the production process; Based on the adjustment data of the automatic adjustment scheme in the adjustment processing demand state, the joining target of the strategy library of the automatic adjustment scheme under different quality inspection results is determined.

2. The process optimization method of claim 1, wherein, The quality inspection result includes the antibacterial rate of the fabric after 150 times of washing and the air permeability.

3. The process optimization method of claim 1, wherein, The quality inspection result meeting the requirements includes that the antibacterial rate after 150 times of washing is greater than or equal to 95%, and the air permeance resistance is less than or equal to 120 Pa·s / m.

4. The process optimization method of claim 1, wherein, The production equipment includes a spinning machine, a knitting machine, a circular machine, a warp knitting machine, a dyeing and finishing equipment, a setting machine and a calender.

5. The process optimization method of claim 1, wherein, The method for generating the automatic adjustment scheme is: The equipment parameters of the production equipment corresponding to the fabric whose quality inspection result meets the requirements are optimization parameters; According to the similarity of the adjustment processing demand state of the optimization parameters and the equipment parameters of the production equipment, the production equipment whose deviation rate of the adjustment processing demand state of the optimization parameters and the equipment parameters of the production equipment meets the requirements is determined; According to the production equipment whose deviation rate of the adjustment processing demand state meets the requirements, it is determined whether the optimization parameters can be used as the automatic adjustment scheme.

6. The process optimization method of claim 1, wherein When the adjustment adaptation degree of the automatic adjustment scheme in the strategy library meets the requirements, specifically comprising: With the equipment parameters of the quality abnormal production batch, it is determined that there is an adaptive automatic adjustment scheme in the adjustment processing demand state in the quality abnormal production batch; According to the adjustment processing demand state of the adaptive automatic adjustment scheme in the quality abnormal production batch, it is determined whether the adjustment adaptation degree of the automatic adjustment scheme in the strategy library meets the requirements.

7. The process optimization method of claim 6, wherein, The adjustment processing demand state adaptive automatic adjustment scheme is an automatic adjustment scheme whose adjustment rate of the equipment parameters of the different generated equipment in the adjustment processing demand state meets the requirements.

8. The process optimization method of claim 1, wherein, The method for determining the automatic adjustment scheme corresponding to the adjustment processing process is: Based on the adjustment data, the number of production equipment that needs to be adjusted by the adjustment scheme is determined, and the number is used as the adjustment equipment number; The yield of the current production batch whose quality inspection result does not meet the requirements is determined based on the quality inspection result of the fabric in the production process; The adjustment processing process corresponding to the automatic adjustment scheme is determined by adjusting the adjustment equipment number and the quality inspection result based on the yield of the current production batch whose quality inspection result does not meet the requirements.

9. A computer system comprising: The memory and the processor connected in communication, and the computer program stored on the memory and capable of running on the processor, characterized in that the processor runs the computer program to execute the method for optimizing the preparation process according to any one of claims 1-8.

10. A yoga anti-microbial and breathable fabric with corrosion resistance, prepared by the optimization method of any one of claims 1-8, characterized in that, Specifically comprising: The fabric has a bacteria inhibition rate of ≥95% and a air permeability resistance of ≤120 Pa·s / m after 150 times of washing.

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