Cashmere and wool fiber blending processing system

Abstract

The invention relates to the field of fiber processing, in particular to a cashmere and wool fiber blending processing system which comprises a raw material processing module, a blending execution module, a quality monitoring module and an equipment regulation and control module. According to the invention, a raw material processing module, a blending execution module, a quality monitoring module, an equipment regulation module and the like are deployed to obtain multi-dimensional and multi-type cashmere and wool fiber blending related monitoring data including fiber characteristic data of fineness, breaking strength and the like of a raw material, including raw material characteristics, blending process parameters, product quality and the like; a set of complete blending processing system is formed by equipment operation parameter data such as the feeding speed of an opener and the rotating speed of a needle roller of a carding machine in the blending process and quality evaluation data such as proportion deviation and uniformity index in a quality monitoring link, real-time data interaction and sharing are achieved among the modules, the quality stability and production efficiency of blended products are effectively improved, and the production cost is reduced. The quality abnormity risk is reduced, and the intelligent control of the blending process is realized.

Description

Technical Field

[0001] This invention relates to the field of fiber processing, and more specifically to a cashmere and wool fiber blending processing system. Background Art

[0002] In the textile industry, cashmere and wool, with their respective superior properties, can combine the advantages of both while balancing performance and cost. This results in strong demand in high-end apparel and home furnishing fabrics, with market competitiveness primarily relying on the quality stability and production efficiency of the blended products. However, the current cashmere and wool fiber blending processing sector still faces numerous industry pain points, hindering improvements in product quality and production efficiency.

[0003] In traditional blending processes, blending ratios often rely on manual experience to set, failing to adequately consider the inherent characteristics of the raw materials (such as fiber fineness and breaking strength) and the target product requirements (such as softness grade). This can easily lead to a mismatch between the ratio and actual production needs, thus affecting product quality. Furthermore, the parameters of key equipment such as opening machines and carding machines (such as feed speed and needle roller speed) need to be adjusted manually based on experience, resulting in significant operational errors. This not only reduces equipment accuracy and production efficiency but can also cause fiber damage and uneven mixing due to unreasonable parameter settings. Therefore, there is an urgent need to invent a multi-dimensional and multi-type blending processing system that can address these problems by considering raw material characteristics, blending process parameters, and product quality. Summary of the Invention

[0004] The purpose of this invention is to provide a cashmere and wool fiber blending processing system to solve the problems mentioned in the background art.

[0005] The present invention achieves the above objectives through the following technical solutions: To achieve the above objectives, the present invention provides the following technical solution: a cashmere and wool fiber blending processing system, comprising a control center, wherein the control center is communicatively connected to a raw material processing module, a blending execution module, a quality monitoring module, and an equipment control module; The raw material processing module is used to perform grading and preprocessing of cashmere and wool raw materials, detect the fiber characteristic indicators of cashmere / wool, and generate fiber characteristic datasets. The blending execution module is used to call the fiber characteristic dataset, calculate the blending ratio in real time based on the set blending ratio real-time correction method, control the equipment to perform blending operations according to the blending ratio, and output blending process data in real time. The blending process data includes cashmere / wool ratio deviation, uniformity index and real-time equipment parameters. The quality monitoring module is used to receive data from the blending process and generate equipment control commands by combining the cashmere / wool ratio deviation, uniformity index and preset threshold. The equipment control module is used to respond to equipment control commands and adjust the operating parameters of the blending equipment.

[0006] Optionally, the raw material processing module includes: The first processing unit classifies cashmere raw materials into several grades, C1-C, based on fiber length. n The wool raw materials are divided into several grades, W1-W. n The initial impurity percentage Z of each batch of raw materials is obtained by sorting equipment deployed in the corresponding processing areas. 初 ; The second processing unit processes C1-C n Grade cashmere and W1-W n After washing different grades of wool for varying durations, a pre-treatment raw material parameter set was generated: Cashmere parameters (C 级 Z 绒初 ), wool parameters (W) 级 Z 毛初 ); The third processing unit, for C 级 Cashmere / W 级 The wool was subjected to multiple fineness tests, and the average value was taken as the characteristic fineness D. 绒 / Feature fineness D 毛 ; The fourth processing unit detects the breaking strength F of cashmere. 绒 and wool breaking strength F 毛 The detection results are linked with cashmere / wool grade information to generate a fiber characteristic dataset: cashmere data (C 级 D 绒 F 绒 ), wool data (W 级 D 毛 F 毛 ).

[0007] The raw material processing module adopts differentiated processing methods for different grades of raw materials, which can more accurately meet the processing needs of various raw materials and improve the pretreatment effect. By acquiring and storing pretreatment raw material parameters such as the initial impurity ratio of each batch of raw materials, it provides comprehensive basic data for subsequent processing stages, which helps to optimize subsequent process parameters and improve raw material utilization and product quality.

[0008] Optionally, in the blending execution module, calculating the blending ratio based on the set blending ratio correction method includes the following steps: Extract D from fiber property dataset 绒 D 毛 F 绒 F 毛 ; The basic proportioning coefficient K is set based on the following formula. 基 : K 基 =K1+(D毛 -D 绒 ) / (D 绒 +D 毛 ) × K2 (when D 毛 >D 绒 (Take a positive value when the time is right, and a negative value otherwise). Based on the pre-set target product softness level S to K 基 Make the correction as follows: K 修 =K 基 + (S-3)×K3; According to the revised K 修 The final blending ratio is determined as follows: Cashmere percentage (P) 绒 =K 修 ×100%, wool percentage P 毛 =100%-P 绒 ; According to P 绒 and P 毛 Set the feeding speed V of the opening machine. 绒 and V 毛 Set the carding machine's needle roller speed N 梳 As shown in the following formula: V 绒 =P 绒 ×V 总 V 毛 =P 毛 ×V 总 V 总 Total feeding rate; The carding machine's needle roller speed N 梳 =500+(P) 绒 / 10)×100.

[0009] Optionally, in the blending execution module, the blending operation is performed according to the blending ratio control equipment, and the output of blending process data includes the following steps: Based on the test samples obtained from the fiber sampling points set at the outlet of the opening machine, the actual cashmere percentage P was determined. 实绒 ; The proportional deviation ΔP is calculated as follows: ΔP=|P 实绒 -P 绒 |; Based on the fiber distribution image obtained from the carding machine outlet, the uniformity index U is calculated as follows: U = (Number of pixels in uniform region / Total number of pixels) × 100%; Combine ΔP, U with the real-time parameters of the equipment (V) 绒 V 毛 N 梳Bind to generate blended process data.

[0010] The blending execution module detects the actual proportions of cashmere and wool in the sample, calculates the proportion deviation, obtains the fiber distribution image and calculates the evenness index, and binds these data with the real-time parameters of the equipment to generate blended process data, providing real-time and detailed monitoring information for the quality monitoring module to facilitate timely discovery and solution of problems in the production process.

[0011] Optionally, the quality monitoring module is used to analyze the blended process data and generate a quality assessment result by combining the pre-set deviation threshold ΔP0 and evenness threshold U0, including: When ΔP ≤ ΔP0 and U ≥ U0, it is determined that the quality is qualified; When ΔP > ΔP0 and U ≥ U0, it is determined that the proportion is abnormal, and the deviation level L is calculated; When ΔP ≤ ΔP0 and U < U0, it is determined that the evenness is abnormal, and the evenness deficiency rate B is calculated; When ΔP > ΔP0 and U < U0, it is determined that the mixing is abnormal, and the deviation level L and the evenness deficiency rate B are calculated; Generate a quality assessment result.

[0012] The quality monitoring module evaluates the blending quality from two key dimensions of proportion deviation and evenness by setting deviation thresholds and evenness thresholds, can judge whether the blending quality is qualified, and determine the type and degree of quality abnormality, and calculate detailed indicators such as deviation level and evenness deficiency rate according to different quality judgment situations, generating a comprehensive quality assessment result, providing a clear adjustment basis for the equipment control module, helping to adjust the production process in time and ensuring the stability of product quality.

[0013] Optionally, the equipment control module includes a first instruction generation unit, and the first instruction generation unit is used to receive the quality assessment result and adjust the feeding speeds V 绒调 and V 毛调 respectively according to the situation of proportion abnormality, and continuously monitor the proportion deviation ΔP.

[0014] Optionally, the equipment control module further includes a second instruction generation unit, and the second instruction generation unit is used to receive the quality assessment result, calculate the adjustment value ΔN of the needle roller speed when it is determined that the evenness is abnormal, and calculate the new speed N 梳调 according to ΔN; adjust the needle pitch of the carding machine according to the evenness abnormality situation to form control instructions for the new speed N 梳调 and the needle pitch, and continuously detect the evenness index U.

[0015] The equipment control module takes different measures to adjust the feeding speed according to the abnormal proportions in the quality assessment results, and continuously monitors the proportion deviation until it is qualified, effectively solving the proportion abnormality problem and ensuring the accuracy of the blending ratio. When the uniformity is determined to be abnormal, the needle roller speed adjustment value and the new speed are calculated, and the carding machine needle pitch is adjusted according to the insufficient uniformity rate. After adjustment, the uniformity index is continuously monitored until it is qualified, and the original needle pitch is restored, which effectively improves the fiber uniformity and avoids the negative impact of long-term small needle pitch, ensuring the carding effect and fiber quality.

[0016] Optionally, the raw material processing module also includes a moisture regain detection unit, which is used to detect the moisture regain of cashmere / wool and perform moisture control operations, including the following steps: Samples were taken from the pretreated raw materials, and the wet and dry weights of the sampled cashmere / wool were calculated respectively. Set a moisture regain threshold M, and calculate the cashmere moisture regain M. 绒 Wool moisture regain M 毛 The moisture regain threshold M is compared with the cashmere moisture regain M. 绒 Wool moisture regain M 毛 The comparison is made, and the pretreated raw materials are then subjected to further operations based on the comparison results. These operations include: drying and then feeding the raw materials into the opening machine, humidifying and then feeding them into the opening machine, or feeding them directly into the opening machine.

[0017] By adopting the above technical solutions, the moisture regain rate of fiber raw materials and semi-finished products can be monitored in real time, ensuring the stability of the blending process, the consistency of product quality, and optimizing production efficiency.

[0018] The beneficial effects of the present invention are: 1. The blending execution module calculates the blending ratio based on the basic proportioning coefficient and the softness grade of the target product, realizing the matching of the blending ratio with the characteristics of raw materials and product requirements. This breaks the limitations of traditional experience-based proportioning. Based on the calculated blending ratio, the opening machine feeding speed and carding machine needle roller speed are set, reducing errors caused by manual intervention and improving the accuracy and efficiency of equipment operation. At the same time, by sampling and detecting the actual cashmere content, calculating the proportion deviation, and using the acquired fiber distribution image to calculate the uniformity index, the blending process data is collected in real time, providing a reliable basis for the evaluation of the subsequent quality monitoring module and the parameter adjustment of the equipment control module, forming a complete link from proportion calculation, equipment execution to process feedback. 2. This cashmere and wool fiber blending processing system is equipped with modules for raw material processing, blending execution, quality monitoring, and equipment control. It acquires multi-dimensional and multi-type monitoring data related to cashmere and wool fiber blending, covering raw material characteristics, blending process parameters, and product quality. This includes fiber characteristic data such as the fineness and breaking strength of the raw materials, equipment operating parameter data such as the opening machine feeding speed and carding machine needle roller speed during the blending process, and quality assessment data such as the proportion deviation and uniformity index in the quality monitoring stage. This forms a complete blending processing system. Real-time data interaction and sharing between modules effectively improve the stability of blended product quality and production efficiency, reduce the risk of quality abnormalities, and realize intelligent control of the blending process. Attached Figure Description

[0019] Figure 1 The system block diagram provided for this invention; Figure 2 This is a block diagram of the raw material processing module of the present invention; Figure 3 This is a flowchart of the blending execution module of the present invention; Figure 4 This is a flowchart of the device control module of the present invention. Detailed Implementation

[0020] The present application will now be described in further detail with reference to the accompanying drawings. It should be noted that the following specific embodiments are only used to further illustrate the present application and should not be construed as limiting the scope of protection of the present application. Those skilled in the art can make some non-essential improvements and adjustments to the present application based on the above application content.

[0021] Example 1 Refer to the instruction manual appendix Figure 1-4 This embodiment discloses a cashmere and wool fiber blending processing system, including a raw material processing module, a blending execution module, a quality monitoring module, and an equipment control module. From raw material grading and pretreatment, fiber characteristic detection, blending ratio calculation and execution, to blending quality monitoring and dynamic control of equipment parameters, a complete blending processing system is formed, which effectively improves the quality stability and production efficiency of blended products, reduces the risk of quality abnormalities, and realizes intelligent control of the blending process.

[0022] The raw material processing module is used to perform grading and preprocessing of cashmere and wool raw materials, detect the fiber characteristic indicators of cashmere / wool, and generate fiber characteristic datasets.

[0023] The raw material processing module includes: First processing unit: Based on fiber length, cashmere raw materials are divided into 3 grades (C1, C2, C3), and wool raw materials are divided into 3 grades (W1, W2, W3). C1 corresponds to a fiber length ≥38mm, C2 corresponds to a fiber length ≤30mm and <38mm, and C3 corresponds to a fiber length <30mm. The classification criteria for W1, W2, and W3 are the same as those for cashmere. The raw material processing area is divided into a cashmere raw material processing area and a wool raw material processing area. Cashmere sorting equipment, cashmere washing equipment and cashmere dehydration equipment are deployed in the cashmere raw material processing area, and wool sorting equipment, wool washing equipment and wool dehydration equipment are deployed in the wool raw material processing area. The initial impurity percentage (Z) of each batch of raw materials is obtained through cashmere sorting equipment and wool sorting equipment. 初 Z 初 =Impurity mass / Total raw material mass; Second processing unit: Cashmere raw materials are cleaned using cashmere cleaning equipment. Different cleaning times (t) are used for C1-C3 grade cashmere. 绒1 =15min,t 绒2 =12min,t 绒3 =10min, the wool raw materials are cleaned using wool cleaning equipment, with different cleaning times for W1-W3 grade wool: t 毛1 =18min,t 毛2 =15min,t 毛3 =12min, raw materials are graded according to fiber length and differentiating cleaning is carried out. This avoids fiber damage caused by over-cleaning of high-grade raw materials and ensures the cleanliness of low-grade raw materials, thus improving the targeting of raw material pretreatment. The washed cashmere and wool raw materials are dehydrated using cashmere dehydration equipment and wool dehydration equipment respectively. The raw material parameter data from the pretreatment process are associated and stored with the corresponding raw material type (cashmere or wool), generating a pretreatment raw material parameter group: Cashmere parameters (C... 级 Z 绒初 ), wool parameters (W) 级 Z 毛初 ).

[0024] It should be noted that the impurity quality and total raw material quality are determined by sorting equipment deployed in the raw material processing module, such as belt sorters or vibrating screens, during the raw material pretreatment stage, by performing the following operations: Impurity separation: The sorting equipment separates impurities (such as dust, short fibers, coarse fibers, etc.) from qualified fibers in the raw materials through mechanical screening (the screen aperture is set according to the raw material grade, such as 0.5mm for C1 grade cashmere). The separated impurities fall into a special collection tank. Mass weighing: A high-precision weighing sensor is installed at the bottom of the collection tank to directly collect the total mass of the separated impurities, which is recorded as "impurity mass"; Data binding: At the same time, the total mass of the batch of raw materials is obtained through the feeding metering unit of the sorting equipment, namely "total mass of raw materials", and the mass of impurities is bound to the pre-processing data group of the corresponding raw material grade (such as C1 grade cashmere or W1 grade wool).

[0025] It should be noted that the absolute dry weight refers to the weight of cashmere / wool after removing all moisture and other volatile substances when dried to constant weight under specific conditions (usually 105℃±2℃).

[0026] The third processing unit: performs fineness testing on the pre-treated cashmere and wool fibers, retrieves the grade information from the pre-treated raw material parameter group, and processes the C... 级 Cashmere fineness was measured three times using a laser diameter gauge, and the average value was taken as the characteristic fineness D. 绒 :D 绒 = (d1 + d2 + d3) / 3, where d1 - d3 is the value of a single detection, for W 级 The feature fineness D of wool is obtained using the same method. 毛 Under normal circumstances, D 绒 <D 毛 ; Fourth processing unit: Tensile tests are performed on cashmere and wool fibers using a fiber tensile testing machine. The breaking strength F of the cashmere is measured using the tensile testing machine. 绒 (Unit: cN / tex) and wool breaking strength F 毛 The test was performed 5 times, and the average of the first 4 valid values ​​was taken. By taking the average of multiple tests, the error of a single test was reduced and the accuracy of fiber characteristic data was improved. The test results are linked with grade information to generate a fiber characteristic dataset: cashmere data (C 级 D 绒 F 绒 ), wool data (W 级 D 毛 F 毛 ).

[0027] The blending execution module is used to call the fiber characteristic dataset, calculate the blending ratio based on the set blending ratio correction method, control the equipment to perform the blending operation according to the blending ratio, and output the blending process data, including cashmere / wool ratio deviation, uniformity index and real-time equipment parameters.

[0028] In the blending execution module, the calculation of the blending ratio based on the set blending ratio correction method includes the following steps: Extract D from fiber property dataset绒 D 毛 F 绒 F 毛 When |D 绒 -D 毛 |≤5μm and|F 绒 -F 毛 When |≤2cN / tex, it is determined to be a suitable fiber combination; The basic proportioning coefficient K is set based on the following formula. 基 : K 基 =K1+(D 毛 -D 绒 ) / (D 绒 +D 毛 )×K2; Where K1=0.5, K2=0.2, when D 毛 >D 绒 When the time is right, a positive value is taken; otherwise, a negative value is taken. Based on the pre-set target product softness level S (S=1-5), K 基 Make the correction as follows: K 修 =K 基 + (S-3)×K3; Where K3 = 0.05; According to the revised K 修 The final blending ratio is determined as follows: Cashmere percentage P 绒 =K 修 ×100%, wool percentage P 毛 =100%-P 绒 ; According to P 绒 and P 毛 Set the feeding speed V of the opening machine. 绒 and V 毛 : V 绒 =P 绒 ×V 总 V 毛 =P 毛 ×V 总 V 总 Total feeding rate; The carding machine's needle roller speed N 梳 =500+(P) 绒 / 10)×100 (unit: r / min).

[0029] For example, when V 总 =100 kg / h and P 绒 When =30%, V 绒 =30kg / h, V毛 =70kg / h, carding machine needle roller speed N 梳 =500+(30 / 10)×100=800r / min.

[0030] In the blending execution module, the blending operation is performed according to the blending ratio control equipment, and the output of blending process data includes the following steps: A fiber sampling point was set up at the outlet of the opening machine, and samples were taken every 5 minutes to test the actual proportion P of cashmere in the samples. 实绒 :P 实绒 =Total number of cashmere fibers / Total number of fibers × 100%. To reduce error, each batch of samples was counted three times, and the average value was taken as P. 实绒 ; The proportional deviation ΔP is calculated as follows: ΔP=|P 实绒 -P 绒 |; An image sensor is installed at the outlet of the carding machine to acquire images of fiber distribution and calculate the uniformity index U, as shown in the following formula: U = (Number of pixels in uniform region / Total number of pixels) × 100%; Combine ΔP, U with the real-time parameters of the equipment (V) 绒 V 毛 N 梳 Bind and generate blending process data.

[0031] The quality monitoring module is used to analyze blending process data and generate quality assessment results by combining pre-set deviation thresholds ΔP0 and uniformity thresholds U0, including: Set the deviation threshold ΔP0: ΔP0 = 3% and the uniformity threshold U0: U0 = 85%; When ΔP≤ΔP0 and U≥U0, that is, the actual fiber ratio deviation after opening is less than or equal to the preset allowable deviation threshold, and the actual fiber uniformity index after combing is greater than or equal to the uniformity threshold, it is judged to be of qualified quality and can proceed to the next process. When ΔP>ΔP0 and U≥U0, that is, the actual fiber ratio deviation after opening is greater than the preset allowable deviation threshold, and the actual fiber uniformity index after combing is greater than or equal to the uniformity threshold, it is judged as an abnormal ratio. At this time, the deviation level L is calculated, L=ΔP / ΔP0. If 1.1≤L≤2.0, it is considered as a slight ratio deviation. If L>2.0, it is considered as a severe ratio deviation. When ΔP ≤ ΔP0 and U < U0, that is, the deviation of the fiber proportion after actual opening is less than or equal to the preset allowable deviation threshold, and the fiber evenness index after actual carding is less than the evenness threshold, it is determined that the evenness is abnormal at this time. At this time, the evenness deficiency rate B is calculated, B = (U0 - U) / U0 × 100%. If 5% ≤ B < 15%, it is regarded as mild evenness abnormality. If B ≥ 15%, it is regarded as severe evenness abnormality; When ΔP > ΔP0 and U < U0, that is, the deviation of the fiber proportion after actual opening is greater than the preset allowable deviation threshold, and the fiber evenness index after actual carding is less than the evenness threshold, it is determined that the mixing is abnormal at this time, that is, there are both proportion abnormality and evenness abnormality at the same time. At this time, the deviation level L and the evenness deficiency rate B are calculated simultaneously; Generate an evaluation result including "quality status, abnormal type (if any), and quantitative index". For example, when ΔP ≤ ΔP0 and U ≥ U0, the quality evaluation result is "qualified, no abnormality". When ΔP > ΔP0 and U ≥ U0, the quality evaluation result is "abnormal, proportion abnormal, deviation level L = XX (mild / serious)".

[0032] The equipment control module includes a first instruction generation unit. The first instruction generation unit is used to receive the quality evaluation result and adjust the feeding speed V according to the proportion abnormality situation 绒调 and V 毛调 , and continuously monitor the proportion deviation ΔP.

[0033] The specific steps for the equipment control module to adjust the opener parameters are as follows: Receive the quality evaluation result generated by the quality monitoring module. When it is determined that the proportion is mildly abnormal, adjust the feeding speed: V 绒调 = V 绒 × (1 + (P 绒 - P 实绒 ) / P 绒 ), V 毛调 = V 总 - V 绒调 , if P 实绒 < P 绒 , it means that the actual cashmere proportion is lower than the target proportion. At this time, (P 绒 - P 实绒 ) / P 绒 is a positive value, V 绒调 > V 绒 , that is, increase the cashmere feeding speed. In this way, in the subsequent mixing, the proportion of cashmere in the fiber will increase, so that P 实绒 tends to P 绒 , ΔP decreases. Correspondingly, while increasing V 绒调 , V 毛调 decreases; When it is determined that the ratio is seriously abnormal, first pause the opener, recalibrate the feeding scale, eliminate the ratio deviation problem caused by inaccurate feeding scale, and then press V 绒调 =V 绒 ×1.05, V 毛调 =V 总 -V 绒调 Restart the opener; The feeding speed determines the quality of cashmere and wool entering the opener per unit time. During the blending process, the actual feeding ratio of cashmere and wool will directly affect the actual proportion P of cashmere in the blended fiber 实绒 , so continuously monitor ΔP after adjustment until ΔP ≤ ΔP0 and then stop the adjustment.

[0034] The equipment control module also includes a second instruction generation unit. The second instruction generation unit is used to receive the quality assessment result. When it is determined that the evenness is abnormal, calculate the adjustment value ΔN of the needle roller speed, and calculate the new speed N according to ΔN 梳调 ; Adjust the needle pitch of the carding machine according to the evenness abnormality situation to form the control instructions for the new speed N 梳调 and the needle pitch, and continuously detect the evenness index U.

[0035] The specific steps for the equipment control module to adjust the parameters of the carding machine are as follows: Receive the quality assessment result. When it is determined that the evenness is abnormal, calculate the adjustment value ΔN of the needle roller speed: ΔN = (U0 - U) / U0 × 50; The new speed N 梳调 =N 梳 +ΔN. When U < U0, calculate the positive adjustment value through ΔN to make N 梳调 increase. At this time, the linear speed on the surface of the needle roller increases, and the ability to grasp, card and throw the fibers is enhanced, which can effectively break up the fiber bundle and promote the uniform distribution of the fibers. When U > U0, calculate the negative adjustment value through ΔN to make N 梳调 decrease, reduce the mechanical force on the fibers, avoid fiber damage caused by excessive carding, and when N 梳调 > 800 r / min, take 800 r / min; At the same time, adjust the needle pitch of the carding machine: when B ≤ 15%, the needle pitch remains unchanged. When B > 15%, the needle pitch is reduced by 0.02 mm. The needle pitch, that is, the distance between adjacent needle teeth, determines the fineness of carding; Detect U once every 5 minutes after adjustment until U ≥ U0 and then restore the original needle pitch. Restoring the original needle pitch can avoid the negative impact caused by a long-term small needle pitch.

[0036] After adjusting the equipment parameters, key indicators such as proportional deviation and uniformity index are continuously monitored until the indicators reach the qualified range and then the adjustment is stopped. The combination of dynamic control and continuous monitoring ensures the effectiveness and stability of the equipment parameter adjustment, and can promptly identify and resolve new problems that arise during the adjustment process, ensuring the continuous and stable operation of the blending process.

[0037] Example 2 Since the main component of natural cashmere and wool is protein, when the moisture regain is too low, the binding force between the macromolecules inside the fiber weakens, making it dry and brittle. During the opening and combing process, it is easy to break due to mechanical friction, resulting in an increase in the proportion of short fibers. Therefore, humidification is required.

[0038] As an optimization, in this embodiment, the principle processing module further includes a moisture regain detection unit. The moisture regain detection unit is used to detect the moisture regain of cashmere and wool and perform moisture control operations, including the following steps: Three samples were randomly selected from the pretreated cashmere and wool raw materials, each weighing ≥50g, and sealed in a sealed bag to prevent moisture loss. Wet weight measurement: Weigh the sample immediately after taking it out using an electronic balance, and record the mass as the wet weight; Dry weight measurement: Place the sample in an oven and set the drying parameters: temperature 105±3℃, drying time 2h (cashmere) / 2.5h (wool). To avoid absorbing moisture from the air, after drying, the sample was transferred to a desiccator to cool for 30 minutes, and then weighed again using an electronic balance. The mass was recorded as the dry weight. Set a moisture regain threshold of 6% ≤ M ≤ 8%, and calculate the cashmere moisture regain M. 绒 Wool moisture regain M 毛 Cashmere moisture regain M 绒 M 绒 = (Wet weight cashmere - Dry weight cashmere) / Dry weight cashmere × 100%, and wool moisture regain M 毛 M 毛 = (wet heavy wool - dry heavy wool) / dry heavy wool × 100%; When M 绒 >12% or M 毛 If the moisture content is >12%, it is judged as "severely high moisture content". First, the raw material is dried at low temperature using a low temperature dryer, and the moisture regain is sampled and tested every 30 minutes until it drops to 9%-10%. Then, the raw material is spread out in a constant temperature and humidity workshop, with a thickness of ≤5cm, and turned over every 2 hours until the moisture regain drops to below 8%. When 8%≤M 绒 ≤12% or 8%≤M 毛If the moisture content is ≤12%, it is judged as "slightly too high". Spread the raw materials evenly in a constant temperature and humidity workshop, spread them out to dry with a thickness of ≤5cm, and turn them over every 2 hours until the moisture regain rate drops to below 8%. When 6%≤M 绒 ≤8% or 6% ≤M 毛 ≤8%, the pretreated raw materials can enter the next process, that is, be sent to the opening machine for the opening process; When M 绒 <6% or M 毛 When the concentration is less than 6%, a humidification command is sent to the raw material processing module, with a humidification amount Q = (8% - M). 绒 () × raw material mass × 0.1, the calculation method for wool humidification is the same; M 绒 M 毛 Adding to the fiber property dataset, the blending execution module calculates P. 绒 Add a moisture correction term: P 绒 =K 修 ×100%×(1+(M 绒 -M 毛 ) / 100).

[0039] Moisture regain is a key physical property parameter of fibers, which directly affects the processing performance of fibers such as softness, elasticity, and breaking strength. By setting up a moisture regain detection unit, the moisture regain of fiber raw materials can be monitored in real time, ensuring the stability of blending processes, the consistency of product quality, and optimizing production efficiency.

[0040] The embodiments described above are merely examples of several implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention.

Claims

1. A cashmere and wool fiber blending processing system, characterized in that, The system includes a raw material processing module, a blending execution module, a quality monitoring module, and an equipment control module; The raw material processing module is used to perform grading and pre-processing of cashmere and wool raw materials, and to detect the fiber characteristic indicators of cashmere / wool to generate a fiber characteristic dataset. The blending execution module is used to call the fiber characteristic dataset, calculate the blending ratio based on the set blending ratio correction method, control the equipment to perform the blending operation according to the blending ratio, and output the blending process data, which includes cashmere / wool ratio deviation, uniformity index and real-time equipment parameters. The quality monitoring module is used to receive data from the blending process and generate equipment control commands by combining the cashmere / wool ratio deviation, the uniformity index and the preset threshold. The equipment control module is used to respond to equipment control commands and adjust the operating parameters of the blending equipment.

2. The cashmere and wool fiber blending processing system according to claim 1, characterized in that, The raw material processing module includes: The first processing unit classifies cashmere raw materials into several grades, C1-C, based on fiber length. n The wool raw materials are divided into several grades, W1-W. n The initial impurity percentage Z of each batch of raw materials is obtained by sorting equipment deployed in the corresponding processing areas. 初 ; The second processing unit processes C1-C n Grade cashmere and W1-W n After washing different grades of wool for varying durations, a pre-treatment raw material parameter set was generated: Cashmere parameters (C 级 Z 绒初 ), wool parameters (W) 级 Z 毛初 ); The third processing unit, for C 级 Cashmere / W 级 The wool was subjected to multiple fineness tests, and the average value was taken as the characteristic fineness D. 绒 / Feature fineness D 毛 ; The fourth processing unit detects the breaking strength F of cashmere. 绒 and wool breaking strength F 毛 The detection results are linked with cashmere / wool grade information to generate a fiber characteristic dataset: cashmere data (C 级 D 绒 F 绒 ), wool data (W 级 D 毛 F 毛 ).

3. The cashmere and wool fiber blending processing system according to claim 2, characterized in that, In the blending execution module, the calculation of the blending ratio based on the set blending ratio correction method includes the following steps: Extract D from the fiber property dataset 绒 D 毛 F 绒 F 毛 ; The basic proportioning coefficient K is set based on the following formula. 基 : K 基 =K1+(D 毛 -D 绒 ) / (D 绒 +D 毛 )×K2; Based on the pre-set target product softness level S to K 基 Make the correction as follows: K 修 =K 基 +(S-3)×K3; According to the revised K 修 The final blending ratio is determined as follows: Cashmere percentage (P) 绒 =K 修 ×100%, wool percentage P 毛 =100%-P 绒 ; According to P 绒 and P 毛 Set the feeding speed V of the opening machine. 绒 and V 毛 Set the carding machine's needle roller speed N 梳 As shown in the following formula: V 绒 =P 绒 ×V 总 V 毛 =P 毛 ×V 总 V 总 Total feeding rate; The carding machine's needle roller speed N 梳 =500+(P) 绒 / 10)×100.

4. The cashmere and wool fiber blending processing system according to claim 3, characterized in that, The blending execution module performs blending operations according to the blending ratio control equipment and outputs blending process data, including the following steps: Based on the test samples obtained from the fiber sampling points set at the outlet of the opening machine, the actual cashmere percentage P was determined. 实绒 ; The proportional deviation ΔP is calculated as follows: ΔP=|P 实绒 -P 绒 |; Based on the fiber distribution image obtained from the carding machine outlet, the uniformity index U is calculated as follows: U = (Number of pixels in uniform region / Total number of pixels) × 100%; Combine ΔP, U with the real-time parameters of the equipment (V) 绒 V 毛 N 梳 Bind and generate blending process data.

5. The cashmere and wool fiber blending processing system according to claim 4, characterized in that, The quality monitoring module is used to analyze the blending process data and generate quality assessment results by combining a pre-set deviation threshold ΔP0 and a uniformity threshold U0, including: When ΔP≤ΔP0 and U≥U0, the quality is deemed acceptable; When ΔP>ΔP0 and U≥U0, it is judged as a proportional anomaly, and the deviation level L is calculated; When ΔP≤ΔP0 and U When ΔP>ΔP0 and U Generate quality assessment results.

6. The cashmere and wool fiber blending processing system according to claim 5, characterized in that, The equipment control module includes a first instruction generation unit, which receives quality assessment results and adjusts the feeding speed V according to the abnormal ratio. 绒调 and V 毛调 And continuously monitor the proportional deviation ΔP.

7. The cashmere and wool fiber blending processing system according to claim 5, characterized in that, The equipment control module further includes a second instruction generation unit, which receives the quality assessment result and, when uniformity is determined to be abnormal, calculates the needle roller speed adjustment value ΔN and calculates the new speed N based on ΔN. 梳调 Adjust the carding machine's needle pitch according to any abnormalities in uniformity to achieve a new rotational speed N. 梳调 The needle spacing is controlled by commands, and the uniformity index U is continuously monitored.

8. The cashmere and wool fiber blending processing system according to claim 1, characterized in that, The raw material processing module also includes a moisture regain detection unit, which is used to detect the moisture regain of cashmere / wool and perform moisture control operations, including the following steps: Samples were taken from the pretreated raw materials, and the wet and dry weights of the sampled cashmere / wool were calculated respectively. Set a moisture regain threshold M, and calculate the cashmere moisture regain M. 绒 Wool moisture regain M 毛 The moisture regain threshold M is compared with the cashmere moisture regain M. 绒 Wool moisture regain M 毛 The comparison is made, and the pretreated raw materials are then subjected to further operations based on the comparison results. These operations include: drying and then feeding the raw materials into the opening machine, humidifying and then feeding them into the opening machine, or feeding them directly into the opening machine.

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