Method and system for optimizing weaving process of lightweight quick-drying lining fabric

Abstract

The application discloses a weaving process optimization method and system of light weight quick-drying lining cloth, relates to the technical field of weaving, and comprises the following steps: obtaining yarn line characteristic information through multidimensional detection, and obtaining weaving constraints in cooperation with environmental characteristic information; introducing weaving control fitness as a weaving evaluation index; constructing a weaving space in combination with warp tension threshold and beating-up intensity threshold, and performing target lining cloth weaving process optimization analysis under the weaving constraints in combination with the weaving evaluation index to obtain an optimal weaving scheme, and performing target lining cloth weaving processing according to the optimal weaving scheme. The application solves the technical problems that yarn performance detection is not comprehensive and lacks comprehensive weaving evaluation indexes in the prior art, leading to unstable fabric quality and low production efficiency, and achieves the technical effects of accurate adjustment of the weaving process, improvement of the stability of the fabric quality and the production efficiency through multidimensional detection and real-time process optimization.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of weaving, in particular to a weaving process optimization method and system for lightweight quick-drying lining cloth. BACKGROUND

[0002] In the existing weaving technology, the production process of lightweight quick-drying lining cloth usually relies on empirical adjustment and optimization of single process parameters such as yarn tension and beating strength. However, this method cannot comprehensively consider the influence of multi-dimensional characteristics of yarn (such as porosity, twist, spinning uniformity, etc.) and environmental factors (such as temperature, humidity, etc.) on fabric quality, resulting in large fluctuations in the weaving process, affecting the stability and consistency of the fabric. In addition, most of the existing weaving control evaluation indexes are empirical standards, lacking precise quantitative means, making it difficult to optimize and adjust the weaving process in real time. SUMMARY

[0003] The present application provides a weaving process optimization method and system for lightweight quick-drying lining cloth, which solves the technical problems of incomplete yarn performance detection and lack of comprehensive weaving evaluation index in the prior art, resulting in unstable fabric quality and low production efficiency.

[0004] In a first aspect, the present application provides a weaving process optimization method for lightweight quick-drying lining cloth, the method comprising: multi-dimensionally detecting yarn line characteristic information and obtaining weaving constraints in coordination with environmental characteristic information; introducing weaving control fitness as a weaving evaluation index; constructing a weaving space in combination with warp tension threshold and beating strength threshold, and performing target lining cloth weaving process optimization analysis under the weaving constraints in combination with the weaving evaluation index to obtain an optimal weaving scheme; and performing weaving processing of the target lining cloth according to the optimal weaving scheme.

[0005] In a second aspect, the present application provides a weaving process optimization system for lightweight quick-drying lining cloth, the system comprising: a weaving constraint construction module for multi-dimensionally detecting yarn line characteristic information and obtaining weaving constraints in coordination with environmental characteristic information; a weaving evaluation index introduction module for introducing weaving control fitness as a weaving evaluation index; a weaving process optimization analysis module for constructing a weaving space in combination with warp tension threshold and beating strength threshold, and performing target lining cloth weaving process optimization analysis under the weaving constraints in combination with the weaving evaluation index to obtain an optimal weaving scheme; and a weaving processing module for performing weaving processing of the target lining cloth according to the optimal weaving scheme.

[0006] One or more technical solutions provided in the present application have at least the following technical effects or advantages:

[0007] The weaving process optimization method and system of the light-weight quick-drying lining cloth provided by the application relate to the technical field of weaving. By detecting yarn characteristics and environmental factors in multiple dimensions, weaving constraints are formulated, weaving control fitness is introduced as an evaluation index, the weaving process is optimized in combination with warp tension and beating-up force threshold, the optimal weaving scheme is obtained, and the lining cloth is woven according to the scheme, thereby solving the technical problems of incomplete yarn performance detection and lack of comprehensive weaving evaluation index in the prior art, leading to unstable fabric quality and low production efficiency, and realizing the technical effects of accurate adjustment of the weaving process and improvement of the stability of fabric quality and production efficiency through multi-dimensional detection and real-time process optimization. BRIEF DESCRIPTION OF DRAWINGS

[0008] In order to more clearly illustrate the technical solutions in the embodiments of the application, the drawings needed to be used in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor.

[0009] Figure 1 The weaving process optimization method flowchart of the light-weight quick-drying lining cloth provided by the embodiment of the application is shown in the figure.

[0010] Figure 2 The weaving process optimization system structure schematic diagram of the light-weight quick-drying lining cloth provided by the embodiment of the application is shown in the figure.

[0011] The figure mark explanation: weaving constraint construction module 11, weaving evaluation index introduction module 12, weaving process optimization analysis module 13, weaving processing module 14. DETAILED DESCRIPTION

[0012] The weaving process optimization method and system of the light-weight quick-drying lining cloth provided by the application are used to solve the technical problems of incomplete yarn performance detection and lack of comprehensive weaving evaluation index in the prior art, leading to unstable fabric quality and low production efficiency.

[0013] The technical solutions in the embodiments of the application will be described clearly and completely in combination with the drawings in the embodiments of the application. Obviously, the described embodiments are only some embodiments of the application, not all embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor belong to the scope of protection of the application.

[0014] It should be noted that the terms "first", "second", etc. in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or server including a series of steps or units does not necessarily limit to those steps or units clearly listed, but can include other steps or modules not clearly listed or inherent to these processes, methods, products or devices.

[0015] Embodiment one, as shown in the present application provides a weaving process optimization method for lightweight quick-drying lining cloth, which comprises: Figure 1

[0016] P10: multi-dimensional detection of yarn line feature information, and obtaining weaving constraints in cooperation with environmental feature information. The environmental feature information includes temperature, humidity and air cleanliness.

[0017] Further, the step P10 of the embodiments of the present application further comprises:

[0018] P11: detecting the material information of the yarn, wherein the material information includes a plurality of fibers with ratio identification; P12: analyzing the plurality of fibers with ratio identification to obtain the line porosity of the yarn; P13: obtaining the twist of the yarn; P14: detecting the spinning evenness of the yarn; P15: the line porosity, the twist and the spinning evenness, which constitute the line feature information.

[0019] It should be understood that multi-dimensional detection is first needed to obtain the line feature information of the yarn, and this data acquisition process includes detection of the material, porosity, twist, spinning evenness and other physical properties of the yarn.

[0020] First, the material of the yarn is detected in detail. Each yarn is usually composed of a plurality of fibers, and different fibers have different physical properties and chemical properties, which directly affect the strength, elasticity, softness and other properties of the yarn. In this step, the ratio of each fiber in the yarn needs to be identified, and the identification of each fiber is analyzed. By detecting the material information of the yarn, the constituent components of the yarn can be determined, such as the proportion of polyester, nylon or cotton fibers. The material properties of the yarn affect the yarn tension, the movement behavior of the yarn on the loom and the final physical properties of the fabric during weaving. Understanding the material of the yarn can better control the tension distribution and air permeability of the fabric during weaving.

[0021] ​Next, the porosity of the yarn is analyzed. The porosity of the yarn refers to the proportion of the volume of the internal voids to the total material volume of the yarn. Porosity directly affects the density, air permeability, moisture absorption, and other properties of the fabric. Yarn with high porosity tends to be softer and more breathable, while low porosity may result in a tighter and more solid fabric. In this step, the porosity of the yarn is calculated by detecting the proportion of each fiber. For example, when the yarn contains more hollow fibers or lower density fibers, the porosity is higher. By accurately measuring and analyzing the porosity, a reference can be provided for subsequent weaving process adjustments to ensure that the air permeability and comfort of the fabric meet the design requirements.

[0022] Twist is another important characteristic of the yarn, which reflects the degree of twist between the fibers in the yarn, usually expressed in the number of twists per unit length. Twist directly affects the strength, elasticity of the yarn and its performance in the weaving process. Too low twist may result in loose yarn and insufficient strength; too high twist may make the yarn rigid and difficult to handle. In this step, twist needs to be accurately measured by special instruments, and the yarn needs to be maintained within the appropriate twist range during the weaving process to avoid problems such as yarn breakage or deformation during the weaving process. Through the detection and analysis of twist, the tension setting of the weaving machine can be reasonably adjusted to ensure the stability of the yarn and the uniformity of the fabric.

[0023] At the same time, the evenness of the yarn is an indicator of the thickness variation of the yarn in the length direction. Yarn with poor evenness often results in irregular fabric density during weaving, affecting the appearance and performance of the fabric. By detecting the evenness of the yarn, it can be determined whether there are spinning defects in the production process, such as uneven thickness, yarn breakage, etc. For uneven yarn, adjustments or replacements are usually needed to ensure that the woven fabric meets the quality standards. Evenness detection requires the use of special instruments to monitor the thickness fluctuations of the yarn in real time and record the changes in the entire length of the yarn. This process helps to reduce fabric quality problems caused by uneven yarn during weaving, thereby improving the overall uniformity and stability of the fabric.

[0024] Finally, the porosity, twist, and evenness of the yarn together form the thread characteristic information of the yarn. These information as key input data in the weaving process can provide a reference for subsequent weaving processes. For example, by analyzing the porosity, twist, and evenness of the yarn, combined with environmental characteristic information such as temperature, humidity, and air cleanliness, appropriate weaving constraints can be set. These constraints will affect the tension control of the yarn, the setting of the beating-up force, the density of the fabric, etc. during the weaving process, thereby having an important impact on the final quality of the fabric.

[0025] Among them, the detection of environmental characteristic information is an important basis for determining weaving constraints. Environmental characteristic information includes temperature, humidity, and air cleanliness. Temperature and humidity directly affect the physical properties of yarn such as moisture absorption, elasticity, and strength. For example, in a high humidity environment, the moisture absorption of some fiber materials is enhanced, which may cause the elastic modulus of the yarn to decrease, thereby affecting the tension control during weaving. Air cleanliness is related to the cleanliness of the yarn surface and the degree of fiber damage. Insufficient cleanliness may cause impurities to adhere to the yarn surface, affecting the friction coefficient and wear resistance of the yarn. Therefore, by detecting these environmental characteristic information, reasonable constraint conditions can be set for the weaving process to ensure the stability of the weaving process and the quality of the final product.

[0026] This process ensures the adaptability of the weaving process under different yarn characteristics and environmental conditions, helping to achieve high-quality, lightweight, and quick-drying backing cloth products.

[0027] Further, the step P12 of the embodiment of the present application further includes:

[0028] P12-1: Extracting any fiber of the plurality of fibers with a ratio identifier, wherein the any fiber corresponds to any ratio; P12-2: Weighted calculation of any crystallinity corresponding to the any fiber with the any ratio as the weight, to obtain any porosity; P12-3: Obtaining the linear porosity based on the any porosity.

[0029] Optionally, the calculation method of the linear porosity can be further refined by extracting the crystallinity of the fiber and performing weighted calculation, so as to more accurately determine the linear porosity of the yarn.

[0030] First, any one of the plurality of fibers with a ratio identifier is extracted from the yarn. The any fiber here refers to a specific fiber type in the yarn, and the any ratio refers to the proportion of the fiber in the yarn. For example, if the yarn is a mixture of cotton fiber and polyester fiber, the cotton fiber can be extracted and its ratio in the yarn is determined (for example, 60%). Yarn is usually a mixture of multiple fibers, each with different physical and chemical properties, so the proportion (ratio) of each fiber in the yarn has an important influence on the overall performance of the yarn. By extracting a specific fiber and its ratio, basic data can be provided for subsequent porosity calculation.

[0031] Next, the crystallinity of the fiber is weighted by the proportion of the extracted arbitrary fiber to obtain the arbitrary porosity. The "crystallinity" here refers to the proportion of the crystalline part and the non-crystalline part inside the fiber. The higher the crystallinity, the greater the density of the fiber, and the lower the porosity. The specific calculation formula can be expressed as: arbitrary porosity = (1 - arbitrary fiber crystallinity) x arbitrary fiber proportion. The crystallinity of the fiber directly affects the compactness of its internal structure. Fibers with high crystallinity have fewer internal pores, while fibers with low crystallinity have more internal pores. By weighting the proportion of the fiber, the contribution of the fiber to the overall porosity of the yarn can be more accurately reflected.

[0032] Finally, based on the above calculated arbitrary porosity, the linear porosity of the yarn is further obtained. The linear porosity refers to the overall porosity of the yarn, which integrates the porosity contribution of all fibers in the yarn. The specific calculation formula can be expressed as: linear porosity = ∑(arbitrary porosity). The linear porosity of the yarn is an important indicator of its air permeability and moisture absorption. By considering the porosity contribution of all fibers in the yarn, the performance of the yarn can be more comprehensively evaluated, and the actual porosity of the yarn can be more accurately reflected, providing an important basis for subsequent weaving process optimization. This calculation method integrates the characteristics of different fibers in the yarn by weighting, so that the final porosity can fully reflect the structural characteristics of the yarn, thereby ensuring more stable and high-quality fabric output in the weaving process.

[0033] P20: Introduce weaving control fitness as a weaving evaluation index.

[0034] Specifically, weaving control fitness is introduced as a weaving evaluation index. Weaving control fitness is a quantitative evaluation index, mainly used to measure the effectiveness and stability of the weaving process, considering the influence of yarn tension, weft insertion force, weaving speed, environmental conditions and other factors on fabric performance.

[0035] In the weaving process, the tension of the yarn, the insertion force of the weft, the working state of the loom and the changes in the environment (such as temperature and humidity) will directly affect the quality of the fabric, such as the density, air permeability, strength, etc. of the fabric. Weaving control fitness correlates these process parameters and fabric quality indicators to establish a multi-dimensional fitness function, thereby quantifying the degree of influence of each parameter on fabric quality. Through the calculation of fitness, it can be evaluated in real time whether the various processes in the weaving process meet the expected target, and if there is a deviation, the process parameters can be adjusted in a timely manner.

[0036] Specifically, the introduction of weaving control fitness helps to achieve several aspects of optimization. First, fitness can quantify the controllability in the weaving process, so that the adjustment of each process parameter can have a clear goal, thereby optimizing the process flow. For example, by calculating the fitness value, it can be determined whether a process parameter (such as yarn tension, beating strength) needs to be adjusted to ensure that the physical properties of the fabric such as density, strength, etc. meet the requirements. Second, the introduction of fitness enhances the stability of the weaving process. In different production environments, yarn characteristics or equipment states, process fluctuations may occur in the weaving process. By calculating the fitness value, problems can be found in time and parameters can be adjusted to maintain the consistency of fabric quality. For different yarn characteristics, environmental changes or equipment conditions, real-time calculation of fitness can help the process to automatically adjust, avoid the influence of human error, and ensure that the weaving process can adapt to various changes flexibly.

[0037] In addition, the introduction of weaving control fitness also supports real-time feedback and adjustment. In the weaving process, the fitness value will change constantly, reflecting whether the current weaving process is in an ideal state. When the fitness value is below the preset threshold, the system will automatically adjust, such as increasing the tension of the yarn, adjusting the beating strength or optimizing the weaving speed to improve the fitness. In this way, the rejection rate in the weaving process is reduced, the production efficiency is improved, and the fluctuations in fabric quality are effectively controlled.

[0038] Finally, weaving control fitness can also be used to select the optimal weaving scheme. Among multiple weaving schemes, by calculating the fitness value of each scheme, the scheme with the highest fitness value can be selected as the optimal scheme. Not only can the weaving process be optimized, but also the trial-and-error process can be reduced, the production cost can be reduced, and the production efficiency can be improved. Through this quantitative evaluation of fitness, the weaving process can be controlled and adjusted more accurately, and finally the fabric that meets the quality requirements can be produced. In summary, by introducing weaving control fitness as an evaluation index for weaving, not only can the scientificity and accuracy of the weaving process be improved, but also more stable and efficient weaving production can be achieved.

[0039] P30: Combine the warp tension threshold and the beating strength threshold to construct a weaving space, and combine the weaving evaluation index to perform target lining cloth weaving process optimization analysis under the weaving constraints to obtain an optimal weaving scheme.

[0040] Further, the step P30 of the embodiments of the present application further comprises:

[0041] P31: Obtain a first weaving plan in the weaving space; P32: Perform a simulation execution of the first weaving plan under the weaving constraints, obtaining a first simulation record, wherein the first simulation record includes first yarn state information and first fabric state information; the first fabric state information at least includes fabric density, fabric thickness, fabric air permeability and fabric moisture permeability. P33: Analyze the first yarn state information to obtain a first real-time yarn index, and compare it with the initial yarn index of the yarn to obtain a first yarn deviation value; P34: Analyze the first fabric state information to obtain a first real-time fabric index; P35: Based on the first yarn deviation value, calibrate and adjust the first real-time fabric index to obtain a first weaving control fitness; P36: Sort the first weaving control fitness in descending order to obtain a fitness sequence, and take the weaving plan corresponding to the first fitness in the fitness sequence as the optimal weaving plan.

[0042] It should be understood that by combining the warp yarn tension threshold and the beating-up force threshold, the weaving space is constructed, and the weaving evaluation index is combined to analyze the weaving process optimization of the target lining cloth under the weaving constraints. The purpose of this process is to find the most suitable weaving plan through dynamic simulation and analysis, so as to optimize the weaving process and ensure that the quality of the final lining cloth meets the requirements.

[0043] Firstly, the weaving space is constructed by combining the warp yarn tension threshold and the beating-up force threshold. The warp yarn tension threshold and the beating-up force threshold respectively represent the maximum and minimum tension limits of the yarn in the warp and weft directions during the weaving process, ensuring the stability of the fabric and the integrity of the yarn during the weaving process. These two thresholds form the boundaries of the weaving space, and all weaving process parameters must meet these constraints to proceed with the subsequent weaving process optimization and analysis. The construction of the weaving space ensures the compliance and stability of various parameters in the weaving process through effective control of yarn tension and weft insertion force.

[0044] Next, the weaving process optimization analysis of the target lining cloth is carried out in this constructed weaving space, the goal is to obtain the optimal weaving plan by optimizing the weaving process parameters. This step can combine weaving evaluation indexes such as fabric density, air permeability, thickness, etc. as optimization targets to ensure that the adjustment of each weaving process parameter can bring improvement in fabric quality.

[0045] Specifically, first, a first weaving scheme in a weaving space is obtained. The scheme is based on an initial parameter combination within a set warp tension and beating-up force threshold range, which is used for subsequent simulation execution and analysis. Then, the first weaving scheme is simulated and executed under weaving constraints to obtain a first simulation record. The first simulation record includes first yarn state information and first fabric state information. The first fabric state information includes at least fabric density, fabric thickness, fabric air permeability, and fabric moisture permeability. These parameters are important indicators for evaluating fabric performance, especially for lightweight and quick-drying lining cloth, air permeability and moisture permeability directly determine whether it can meet the requirement of quick drying. Through simulation execution, the weaving process can be simulated in a virtual environment, and the fabric performance data under different weaving schemes can be quickly obtained to provide a basis for subsequent optimization analysis.

[0046] Then, the first yarn state information is analyzed to obtain a first real-time yarn index, which is compared with the initial yarn index of the yarn to obtain a first yarn deviation value. The yarn state information reflects the actual performance of the yarn during the weaving process, such as tension change, wear degree, etc. By calculating the deviation value between the real-time yarn index and the initial yarn index, the change of the yarn performance during the weaving process can be evaluated, and then the adaptability of the weaving scheme to the yarn can be judged.

[0047] At the same time, the first fabric state information is analyzed to obtain a first real-time fabric index. The calculation of the first real-time fabric index is based on the state information of the fabric, which comes from the real-time monitoring of the fabric during the weaving process. The density, thickness, air permeability, and moisture permeability of the fabric are the main indicators of the fabric state information, and each indicator has an important impact on the final quality of the fabric. Fabric density reflects the tightness of the yarn, higher density usually means tighter yarn arrangement and stronger fabric strength; fabric thickness determines the volume and hand feeling of the fabric, thicker fabric is usually more solid but not as soft as thin fabric; air permeability and moisture permeability affect the comfort and sweat function of the fabric, respectively. Good air permeability fabric is suitable for sports or outdoor use, while good moisture permeability fabric can keep the wearer dry.

[0048] These fabric parameters will change during the weaving process with changes in yarn tension, beating-up force, weaving speed, and environmental conditions (such as temperature and humidity). Therefore, the first real-time fabric index is a dynamic comprehensive index that reflects the overall quality of the fabric under the current weaving state. In order to calculate this index, different weights can be given according to the importance of each fabric characteristic, and weighted calculation is performed to obtain a first real-time fabric index that can fully reflect the performance of the fabric. The index is usually obtained based on the comparison between the preset quality standard and the real-time measurement result, thereby providing a reference for subsequent process optimization.

[0049] Further, according to the first yarn deviation value, the first real-time fabric index is calibrated and adjusted, so as to obtain the first weaving control fitness. The first yarn deviation value is obtained by analyzing the first yarn state information, which measures the difference between the actual yarn performance and the initial predetermined yarn performance. The deviation value reflects whether the yarn remains within the expected range of parameters such as tension, twist, evenness, etc. during the weaving process. If the deviation value is large, it means that the yarn performance is unstable, which may affect the final quality of the fabric. The core of the calibration process is to match the actual state of the yarn by adjusting the first real-time fabric index. This adjustment can be achieved by weighted correction, in which the deviation value is used as the weight basis for calibration. When the deviation value is large, the adjustment range of the real-time fabric index is large; when the deviation value is small, indicating that the yarn performance is stable, the adjustment range of the real-time fabric index is small. The first weaving control fitness generated after calibration can more accurately reflect the actual quality state of the fabric, thereby providing more accurate optimization suggestions. If the fitness value is low, it means that the process needs to be further optimized; if the fitness value is high, it means that the current process is close to the optimal state.

[0050] Finally, the obtained first weaving control fitness is arranged in descending order to form a fitness sequence, and the weaving scheme corresponding to the first fitness in the fitness sequence is taken as the optimal weaving scheme. In this way, the scheme that best meets the requirements of lightweight and quick-drying performance can be selected from multiple weaving schemes, thereby realizing the optimization of the weaving process.

[0051] Through the execution of this process, the weaving process is optimized on the basis of meeting various constraint conditions, ensuring that the quality of the final fabric meets the expected requirements, while improving production efficiency and reducing resource waste. The implementation of this process can significantly improve the accuracy and stability of the weaving process.

[0052] Further, the step P31 of the embodiment of the present application further includes:

[0053] P31-1: extracting a first warp tension in the warp tension threshold; P31-2: extracting a first beating-up intensity in the beating-up intensity threshold; P31-3: the first warp tension and the first beating-up intensity constitute the first weaving scheme.

[0054] Specifically, the process of obtaining the first weaving scheme from the weaving space can be further refined to ensure that the generation of the scheme has a clear basis and operability.

[0055] First, a specific tension value is extracted from the warp tension threshold range and defined as the first warp tension. Warp tension refers to the tensile force of the yarn in the warp direction during weaving, which has a direct impact on the density and stability of the fabric. The size of the warp tension usually affects the yarn tension and fabric uniformity during weaving. If the warp tension is too large, it may cause yarn breakage or uneven fabric; while the warp tension is too small, it may cause fabric to be loose and yarn to be deformed. The warp tension threshold is a range value, for example, set to 100-150 cN (centi-Newton), indicating that the warp tension should be controlled within this range during weaving. In order to generate the first weaving scheme, a specific tension value needs to be selected from the range. For example, the median value of the range, 125 cN, can be selected as the first warp tension. This selection is based on the fact that the median value can generally better balance the tension stability of the yarn and the adaptability of the weaving process, avoiding yarn breakage due to excessive tension or loose fabric structure due to low tension.

[0056] Next, a specific beat-up force value is extracted from the beat-up force threshold range and defined as the first beat-up force. Beat-up force refers to the force exerted by the loom on the weft yarn during weaving. Beat-up force directly affects the insertion depth of the weft yarn and the structure tightness of the fabric. Excessive beat-up force will cause the weft yarn to be inserted too deeply, affecting the surface smoothness of the fabric; while insufficient beat-up force may cause the weft yarn to be loose, resulting in a decrease in fabric quality. The beat-up force threshold is also a range value, for example, set to 50-100 cN, indicating that the beat-up force should be controlled within this range during weaving. In order to generate the first weaving scheme, a specific value within the range is selected, for example, 75 cN as the first beat-up force. This selection is based on the influence of beat-up force on fabric density and air permeability. A beat-up force of 75 cN can ensure that the fabric has a certain tightness to meet the strength requirements, while avoiding excessive compaction of the fabric to cause a decrease in air permeability and moisture permeability.

[0057] Finally, the first warp tension and the first beat-up force extracted above are combined to form the first weaving scheme. This scheme is based on a specific parameter combination within the threshold range set in the weaving space, and is used for subsequent simulation execution and performance evaluation. In this way, it is ensured that the first weaving scheme meets the weaving constraint conditions in terms of warp tension and beat-up force, thus providing a reasonable starting point for subsequent weaving process optimization.

[0058] In actual operation, the first warp tension and the first beating-up force can be input into the weaving equipment through an automatic control system or manual setting for preliminary weaving test. Meanwhile, the specific values of the two parameters are recorded for comparison and adjustment in subsequent simulation execution and analysis. Through this systematic method, the generation of the first weaving scheme can be ensured to have clear basis and operability.

[0059] Further, the first real-time yarn index is obtained by analyzing the first yarn state information. The step P33 of the embodiment of the present application further includes:

[0060] P33-1: extracting the first hairiness state in the first yarn state information, the first hairiness state including the first number and the first length; P33-2: extracting the first breaking state in the first yarn state information, the first breaking state including the first strength and the first elongation rate; P33-3: extracting the first crimp state in the first yarn state information, the first crimp state including the first elastic recovery rate and the first stable shrinkage rate; P33-4: analyzing the first number and the first length, the first strength and the first elongation rate, the first elastic recovery rate and the first stable shrinkage rate to obtain the first real-time yarn index.

[0061] Optionally, how to extract key parameters from the first yarn state information and calculate the first real-time yarn index based on these parameters can be further refined.

[0062] Firstly, the first hairiness state is extracted from the first yarn state information. Hairiness refers to the protruding part of the fiber end on the surface of the yarn, and its number and length directly affect the wear resistance of the yarn and the appearance quality of the fabric. The first hairiness state includes two key parameters: the first number (indicating the number of hairiness) and the first length (indicating the length of hairiness). For example, the number of hairiness per unit length on the surface of the yarn and the average length of the hairiness can be measured by an optical detection device. These data can reflect whether the yarn produces too much hairiness due to friction or tension change during weaving.

[0063] Then, the first breaking state in the first yarn state information is extracted. The breaking state is an important indicator for evaluating the strength of the yarn, including the first strength (indicating the maximum tensile strength of the yarn) and the first elongation rate (indicating the elongation ratio of the yarn before breaking). The strength and elongation rate of the yarn can be measured by a tensile testing device. The first strength reflects the maximum tensile force that the yarn can withstand during weaving, while the first elongation rate indicates the elastic deformation ability of the yarn when under stress. These two parameters are crucial for ensuring that the yarn does not break during weaving.

[0064] Next, the first crimp state in the first yarn state information is extracted. The crimp state refers to the degree of curling of the yarn after being stressed, usually measured by the elastic recovery rate and the stable shrinkage rate. The first elastic recovery rate refers to the ability of the yarn to recover to the original length after being stretched or compressed, while the first stable shrinkage rate is the degree of deformation of the yarn under long-term stretching or compression. These two parameters reflect the resilience and stability of the yarn, which play an important role in the tension control of the yarn during weaving and the shape retention of the fabric. Yarns with high elastic recovery rate and low stable shrinkage rate usually have better weaving stability and can maintain better shape during weaving.

[0065] Finally, by comprehensively analyzing the first number and first length (hairiness state), first strength and first elongation (breaking state), first elastic recovery rate and first stable shrinkage rate (crimp state) extracted above, the first real-time yarn index is calculated. The specific calculation method can use the weighted summation method, and different weights are given according to the influence of each parameter on the performance of the yarn. For example, strength and elongation may have a greater impact on the weaving adaptability of the yarn, so they can be given a higher weight; while the number and length of hairiness may have an impact on the appearance of the fabric, but the weight can be relatively low. In this way, multiple parameters are integrated into an index, which can more comprehensively reflect the overall performance of the yarn during weaving.

[0066] In actual operation, yarn state information can be collected in real time by automatic detection equipment, and the data can be transmitted to the control system for analysis and calculation. The calculation result of the first real-time yarn index can be used to compare with the initial yarn index of the yarn, so as to obtain the first yarn deviation value. This deviation value can intuitively reflect the change of the performance of the yarn during weaving, and provide an important reference for subsequent weaving process optimization.

[0067] Further, before analyzing the first yarn state information to obtain the first real-time yarn index, and comparing it with the initial yarn index of the yarn to obtain the first yarn deviation value, the embodiment of the present application further includes step P33a, which further includes:

[0068] P33-1a: modifying the yarn according to a modification strategy to obtain a modified yarn; P33-2a: detecting the modified yarn performance parameters of the modified yarn and obtaining the modified coefficient by variational weighting analysis; P33-3a: analyzing the line feature information with the modified coefficient as the weight to obtain the initial yarn index; wherein the modification strategy includes heat setting modification, hydrophilic modification and anti-pilling modification.

[0069] In one possible embodiment of the present application, a step of modifying the yarn with a modification process can be added before obtaining the first yarn deviation value, so as to adjust the performance of the yarn to make it perform more in line with the expected requirements in the weaving process.

[0070] First, the yarn is modified with a modification process to obtain a modified yarn. The purpose of the modification process is to improve the physical and chemical properties of the yarn to improve its stability in the weaving process and the final quality of the fabric. The modification process can include heat setting modification, hydrophilic modification, and anti-pilling modification. Heat setting modification adjusts the shape and size of the yarn through heat treatment to enhance its stability; hydrophilic modification improves the moisture absorption of the yarn by introducing hydrophilic groups to make it suitable for weaving in a humid environment; and anti-pilling modification adjusts the fiber structure to reduce the hairiness and pilling phenomenon on the surface of the yarn to improve the smoothness and comfort of the fabric. Through these modification processes, the performance of the yarn can be more stable, thereby improving the controllability of the weaving process.

[0071] Next, the modified yarn performance parameters are detected. These performance parameters include but are not limited to the strength, elastic modulus, moisture absorption, air permeability, and anti-pilling performance of the modified yarn. Through professional detection equipment such as a strength tester and an air permeability tester, comprehensive performance detection of the modified yarn is carried out. Then, the performance parameters obtained by detection are subjected to variation weighting analysis to obtain a modification coefficient. Variation weighting analysis is a statistical analysis method that evaluates the dispersion of each parameter by calculating the coefficient of variation (the ratio of the standard deviation to the average) and gives different weights according to its importance. For example, for lightweight quick-drying lining cloth, air permeability and moisture absorption may be more critical performance indicators, so they can be given higher weights. In this way, a modification coefficient that comprehensively reflects the modification effect is obtained.

[0072] Then, the line feature information is analyzed with the modification coefficient as the weight to obtain an initial yarn index. For example, the line feature information of the yarn, such as the hairiness state, breaking state, and curling state, is weighted and calculated with the modification coefficient as the weight to obtain an initial yarn index. The initial yarn index is a comprehensive index for evaluating the performance level of the yarn before it is subjected to the weaving process. In the subsequent optimization process of the weaving process, by comparing the first real-time yarn index with the initial yarn index, the performance change of the yarn in the weaving process can be quantified, thereby providing a more scientific basis for optimizing the weaving process.

[0073] Through the above steps, not only is the yarn effectively modified with a modification process before the optimization of the weaving process, but also a reference value of the initial yarn index is obtained by detecting and analyzing the performance parameters after modification.

[0074] P40: Weaving processing of the target lining cloth is carried out according to the optimal weaving scheme.

[0075] Specifically, the weaving process of the target lining fabric is carried out according to the optimal weaving scheme. This step converts the optimal process scheme obtained through simulation, optimization, and adjustment into actual production operations.

[0076] First, before the weaving process begins, the yarns used need to meet the requirements set in the optimal weaving scheme. This means that if any modification processes were performed on the yarns in the early stages (such as heat setting modification, hydrophilic modification, or anti-pilling modification), it is necessary to ensure that these modification processes have been completed and that the characteristics of the yarns are consistent with the requirements of the scheme. For example, the tension, twist, porosity, and other parameters of the yarns need to reach the set values of the optimal weaving scheme, which can be verified through testing of the yarns.

[0077] Next, the weaving machine needs to be adjusted according to the optimal weaving scheme. The weaving machine is a key piece of equipment in the entire process and must be ensured to accurately execute the set process parameters, such as warp tension, weft insertion force, weaving speed, etc. The adjustment process of the weaving machine includes adjusting the functions of the machine to ensure that each step in the weaving process runs stably and avoids fabric quality problems caused by equipment failure or improper parameter settings. This stage also includes adjusting the beating mechanism and tension control device to ensure that the density and strength of the fabric meet the design requirements.

[0078] During the weaving process, environmental conditions also affect the state of the yarns and fabric, so the weaving environment needs to be controlled. This includes managing temperature and humidity to ensure they remain within a suitable range. Too high or too low temperature and humidity can affect the stability of the yarns and thus the quality of the fabric. In actual operation, environmental monitoring systems can be used to detect these parameters in real time and make adjustments as needed, ensuring the stability of the weaving process and the consistency of the fabric.

[0079] In addition, quality monitoring needs to be carried out during the weaving process. By detecting various performance indicators of the fabric in real time, such as fabric density, thickness, air permeability, stretchability, etc., it is ensured that the various properties of the fabric meet the predetermined quality standards. If any abnormalities or non-compliance are found during the weaving process, immediate measures should be taken to adjust. This may include adjusting yarn tension, weft insertion force, weaving machine speed, etc., to ensure that each link functions normally and the quality of the fabric meets the standards.

[0080] After weaving is completed, the fabric may still need to undergo some post-processing steps to further enhance its performance. These post-processing steps include but are not limited to setting, heat treatment, anti-pilling treatment, etc., selected according to the use requirements of the final fabric. Post-processing helps to improve the stability, comfort, and durability of the fabric, ensuring that the fabric achieves the best results in actual application.

[0081] Through this series of operations, the weaving process of the target lining cloth is successfully carried out, all process parameters and environmental conditions are strictly controlled and adjusted through real-time feedback, so as to ensure that the quality and performance of the final fabric reach the optimal level. The whole process not only optimizes the production efficiency, but also improves the consistency and stability of the fabric, ensuring that each batch of fabric meets the design requirements.

[0082] In summary, the embodiments of the present application have at least the following technical effects:

[0083] The present application establishes weaving constraints by detecting yarn characteristics in multiple dimensions and combining environmental factors. It introduces weaving control fitness as an evaluation index, constructs a weaving space combining warp tension and beating strength thresholds, optimizes the process under the constraint conditions to obtain the optimal weaving scheme, and carries out the weaving process of the target lining cloth according to the scheme, thereby improving the fabric quality and production efficiency.

[0084] The technical effect of improving the stability of fabric quality and production efficiency through multi-dimensional detection and real-time process optimization is achieved.

[0085] Embodiment two, based on the same inventive concept as the weaving process optimization method of the lightweight quick-drying lining cloth in the preceding embodiments, as Figure 2 shown, the present application provides a weaving process optimization system for lightweight quick-drying lining cloth, and the system and method embodiments in the present application are based on the same inventive concept. The system includes:

[0086] The weaving constraint construction module 11 is used to detect the linear characteristic information of the yarn in multiple dimensions, and to obtain the weaving constraints in cooperation with the environmental characteristic information. The environmental characteristic information includes temperature, humidity and air cleanliness.

[0087] The weaving evaluation index introduction module 12 is used to introduce weaving control fitness as a weaving evaluation index.

[0088] The weaving process optimization analysis module 13 is used to construct a weaving space combining warp tension threshold and beating strength threshold, and to carry out weaving process optimization analysis of the target lining cloth under the weaving constraints combining the weaving evaluation index, to obtain the optimal weaving scheme.

[0089] The weaving process module 14 is used to carry out the weaving process of the target lining cloth according to the optimal weaving scheme.

[0090] Further, the weaving constraint construction module 11 is also used to perform the following steps:

[0091] Detecting material information of the yarn, wherein the material information includes a plurality of fibers with a ratio identifier; analyzing the plurality of fibers with the ratio identifier to obtain the yarn porosity; obtaining the twist of the yarn; detecting the spinning evenness of the yarn; and the yarn porosity, the twist and the spinning evenness constitute the thread feature information.

[0092] Further, the weaving constraint construction module 11 is further used to execute the following steps:

[0093] Extracting any fiber in the plurality of fibers with a ratio identifier, wherein the any fiber corresponds to any ratio; performing weighted calculation on any crystallinity rate corresponding to the any fiber with the any ratio as a weight to obtain any porosity; and obtaining the yarn porosity based on the any porosity.

[0094] Further, the weaving process optimization analysis module 13 is further used to execute the following steps:

[0095] Obtaining a first weaving scheme in the weaving space; performing simulation execution of the first weaving scheme under the weaving constraint to obtain a first simulation record, wherein the first simulation record includes first yarn state information and first fabric state information; and the first fabric state information at least includes fabric density, fabric thickness, fabric air permeability and fabric moisture permeability. Analyzing the first yarn state information to obtain a first real-time yarn index, and comparing the first real-time yarn index with an initial yarn index of the yarn to obtain a first yarn deviation value; analyzing the first fabric state information to obtain a first real-time fabric index; performing calibration adjustment of the first real-time fabric index based on the first yarn deviation value to obtain a first weaving control fitness; descending the first weaving control fitness to obtain a fitness sequence, and taking a weaving scheme corresponding to a first fitness in the fitness sequence as the optimal weaving scheme.

[0096] Further, the weaving process optimization analysis module 13 is further used to execute the following steps:

[0097] Extracting a first warp yarn tension from the warp yarn tension threshold; extracting a first beating-up intensity from the beating-up intensity threshold; and the first warp yarn tension and the first beating-up intensity constitute the first weaving scheme.

[0098] Further, the weaving process optimization analysis module 13 is further used to execute the following steps:

[0099] extracting a first hairiness state in the first yarn state information, the first hairiness state including a first number and a first length; extracting a first breaking state in the first yarn state information, the first breaking state including a first strength and a first elongation; extracting a first curling state in the first yarn state information, the first curling state including a first elastic recovery rate and a first stable shrinkage rate; analyzing the first number and the first length, the first strength and the first elongation, the first elastic recovery rate and the first stable shrinkage rate to obtain the first real-time yarn index.

[0100] Further, the weaving process optimization analysis module 13 is further configured to perform the following steps:

[0101] performing a modification pretreatment on the yarn according to a modification strategy to obtain a modified yarn; detecting a modified yarn performance parameter of the modified yarn and performing a variation weighting analysis to obtain a modification coefficient; performing an analysis on the yarn feature information by taking the modification coefficient as a weight to obtain the initial yarn index; wherein the modification strategy includes heat setting modification, hydrophilic modification and anti-pilling modification.

[0102] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. Moreover, the above-mentioned embodiments of the present application are described. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are also possible or can be advantageous.

[0103] The above only describes the preferred embodiments of the present application and does not limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

[0104] The present specification and drawings are merely exemplary illustrations of the present application, and are considered to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, those skilled in the art can make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the present application and its equivalents, the present application is intended to include these modifications and variations.

Claims

1. A method for optimizing the weaving process of lightweight quick-drying interlining, characterized in that, include: Multi-dimensional detection yields yarn feature information, which, in conjunction with environmental feature information, provides weaving constraints. Weaving control fitness is introduced as a weaving evaluation index; By combining the warp tension threshold and the weft insertion force threshold to construct a weaving space, and by combining the weaving evaluation index, the weaving process optimization analysis of the target interlining is carried out under the weaving constraints to obtain the optimal weaving scheme. The target interlining is woven according to the optimal weaving scheme; A weaving space is constructed by combining warp tension threshold and weft insertion threshold. Based on the aforementioned weaving evaluation indicators, an optimization analysis of the weaving process for the target interlining is performed under the weaving constraints to obtain the optimal weaving scheme, including: Obtain the first weaving scheme in the weaving space; The first weaving scheme is simulated and executed under the weaving constraints to obtain a first simulation record, wherein the first simulation record includes first yarn state information and first fabric state information; The first real-time yarn index is obtained by analyzing the first yarn state information and compared with the initial yarn index of the yarn to obtain the first yarn deviation value. The first real-time fabric index is obtained by analyzing the first fabric state information; The first real-time fabric index is calibrated and adjusted based on the first yarn deviation value to obtain the first weaving control fitness. The fitness of the first weaving control is sorted in descending order to obtain a fitness sequence, and the weaving scheme corresponding to the first fitness in the fitness sequence is taken as the optimal weaving scheme; The first real-time yarn index is obtained by analyzing the first yarn state information, including: Extract the first fuzz state from the first yarn state information. The first fuzz state includes a first quantity and a first length. Extract the first breakage state from the first yarn state information, the first breakage state including the first strength and the first elongation; Extract the first crimp state from the first yarn state information. The first crimp state includes the first elastic recovery rate and the first stable shrinkage rate. The first real-time yarn index is obtained by analyzing the first quantity and first length, the first strength and first elongation, the first elastic recovery rate and the first stable shrinkage rate. Before analyzing the first yarn state information to obtain the first real-time yarn index and comparing it with the initial yarn index of the yarn to obtain the first yarn deviation value, the process includes: The yarn is pretreated according to the modification strategy to obtain modified yarn; The modified yarn performance parameters were obtained by detection, and the modification coefficient was obtained by variation weighted analysis; The initial yarn index is obtained by analyzing the line feature information using the modification coefficient as a weight. The modification strategies include thermal fixation modification, hydrophilic modification, and anti-pilling modification. Line porosity, twist, and spinning uniformity constitute the aforementioned line characteristic information; Environmental characteristics include temperature, humidity, and air cleanliness.

2. The method for optimizing the weaving process of the lightweight quick-drying interlining according to claim 1, characterized in that, Multi-dimensional detection yields yarn feature information, including: The material information of the yarn is obtained by detection, wherein the material information includes a variety of fibers with proportion markings; The yarn porosity is obtained by analyzing the various fibers with proportion markings. Obtain the twist of the yarn; The spinning uniformity of the yarn was measured.

3. The method for optimizing the weaving process of the lightweight quick-drying interlining according to claim 2, characterized in that, The yarn porosity is obtained by analyzing the various fibers with proportion markings, including: Extract any fiber from the plurality of fibers with proportion markings, wherein the arbitrary fiber corresponds to any proportion; Using the arbitrary ratio as the weight, the arbitrary crystallinity corresponding to the arbitrary fiber is weighted and calculated to obtain the arbitrary porosity; The linear porosity is obtained based on the arbitrary porosity.

4. The method for optimizing the weaving process of the lightweight quick-drying interlining according to claim 1, characterized in that, Obtaining the first weaving scheme in the weaving space includes: Extract the first warp tension from the warp tension threshold; Extract the first weft insertion force from the weft insertion force threshold; The first warp tension and the first weft insertion force constitute the first weaving scheme.

5. The method for optimizing the weaving process of the lightweight quick-drying interlining according to claim 1, characterized in that, The first fabric state information includes at least fabric density, fabric thickness, fabric air permeability, and fabric moisture permeability.

6. A lightweight quick-drying interlining fabric weaving process optimization system, the system implementing the method of claim 1, characterized in that, The system includes: A weaving constraint construction module is used to obtain the yarn feature information through multi-dimensional detection and to obtain weaving constraints in conjunction with environmental feature information. A weaving evaluation index introduction module is used to introduce weaving control fitness as a weaving evaluation index. The weaving process optimization analysis module is used to construct a weaving space by combining the warp tension threshold and the weft insertion force threshold, and to perform weaving process optimization analysis of the target lining under the weaving constraints by combining the weaving evaluation index, so as to obtain the optimal weaving scheme. A weaving processing module is used to weave the target lining fabric according to the optimal weaving scheme.

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