Yarn feeding speed regulation control system of sisal hemp carpet loom

Abstract

The invention relates to the technical field of yarn speed regulation control, in particular to a sisal hemp carpet loom yarn feeding speed regulation control system which comprises a temperature and pressure coordinated regulation module, a real-time monitoring module, a differential geometric analysis module and an environment response regulation module. According to the method, the responsiveness and accuracy of the weaving process are greatly improved by comprehensively applying real-time adjustment of temperature and pressure and dynamic yarn feeding speed adjustment and control, the weaving requirement can be accurately matched by adjusting the physical state of the yarn in real time, yarn supply continuity and stability are ensured, and the yarn quality is improved. Yarn breakage and yarn loss caused by mismatching are remarkably reduced, yarn tension adjustment is more targeted and scientific through differential geometric analysis, the quality and structural uniformity of the sisal hemp carpet are optimized, high-quality production is allowed to be maintained in a variable production environment through an intelligent response function to environmental factors, dependence on operators is reduced, and the production efficiency is improved. And the production automation and the efficiency are promoted to be improved.

Description

Technical Field

[0001] The invention relates to the technical field of yarn speed control, in particular to a yarn feeding speed control system for a sisal carpet loom. Background Art

[0002] The technical field of yarn speed control involves the precise management of yarn feed speed to adapt to the operating requirements of the loom. It is a key component in the weaving industry, especially when dealing with different types of fibers and yarns, such as natural fibers, synthetic fibers, and mixed materials. The purpose is to ensure the uniformity of fabric quality and structure by accurately controlling the tension and feed rate of the yarn, including the use of sensors to monitor the yarn speed, tension and other key parameters, and to optimize the speed of the yarn feed device through algorithms. The system is usually integrated in an automated loom to improve production efficiency, reduce material waste, and ensure that the fabric specifications are accurate.

[0003] Among them, the yarn feed speed control system for sisal carpet looms is a system specially designed to control the yarn feed speed in sisal carpet looms. The main purpose of the system is to ensure that the yarn is fed at the appropriate speed and tension when weaving sisal carpets, so as to produce carpets with uniform structure and stable quality. The control system optimizes the weaving process, reduces the risk of thread breakage and yarn loss, and improves overall production efficiency by adjusting the feed speed to adapt to yarns of different thicknesses and textures, and plays a vital role in maintaining the continuous operation of the production line and ensuring the quality of the final product.

[0004] Existing technologies usually rely only on basic sensor monitoring and preset parameter adjustments for yarn feed speed control, and lack the ability to dynamically respond to changes in real-time production conditions. Static adjustment methods often perform poorly when encountering a variety of yarn types or rapidly changing environmental conditions, resulting in unstable weaving efficiency and quality. Existing systems fail to fully utilize the geometric properties of yarns to optimize tension settings, limiting their adaptability in the production of high-end or special textiles. In addition, the lack of environmental adaptability prevents the weaving machine from automatically adjusting in the face of humidity and temperature changes, increasing the complexity of the production process and the need for manual intervention, affecting the overall production continuity and cost efficiency. Summary of the invention

[0005] The purpose of the invention is to solve the shortcomings in the prior art and to propose a yarn feeding speed control system for a sisal carpet loom.

[0006] In order to achieve the above object, the present invention adopts the following technical scheme: a yarn feeding speed control system for a sisal carpet loom comprises: The temperature and pressure coordinated adjustment module collects the temperature and pressure data of sisal yarn feeding, calculates the data changes, adjusts the temperature and pressure matching deviation in the loom feeding pipeline, stabilizes the physical state of the yarn, and generates the yarn state response index; The real-time monitoring module monitors the feeding speed of the yarn in the loom according to the yarn state response index, calculates the deviation between the feeding speed and the preset feeding speed, and dynamically adjusts the feeding speed to match the weaving demand according to the calculation result combined with the real-time physical state of the yarn to obtain the real-time speed regulation feedback parameter; The differential geometry analysis module uses the real-time speed control feedback parameters to measure the curvature of the yarn during the weaving process, analyze the impact of the change in yarn curvature on the yarn tension control, reconfigure the tension setting according to the analysis results, match the physical requirements of the yarn, and establish a yarn tension control geometry model; The environmental response adjustment module monitors the environmental temperature and humidity factors according to the tension control geometric model, combines the real-time data of yarn feeding, evaluates the impact of environmental changes on the yarn feeding speed, adjusts the yarn processing parameters to match the current production conditions according to the evaluation results, and obtains the yarn control parameters matching the environment.

[0007] As a further solution of the present invention, the steps of obtaining the yarn state response index are: Temperature when collecting sisal yarn feed and pressure , recorded as time series data and , Denotes a time point, calculates the first derivative of the data, using the formula,

[0008]

[0009] Generate instantaneous temperature and pressure rate of change data, where and Represents at time temperature and pressure, and is the instantaneous rate of change of temperature and pressure; Using the instantaneous temperature and pressure rate of change data, the temperature and pressure settings of the loom feed pipe are adjusted to match the physical properties of the yarn, using the formula,

[0010]

[0011] Generate adjusted temperature and pressure setting data, where and Indicates new temperature and pressure setting data, and is the current temperature and pressure setting of the loom feed pipe, and is the adjustment factor, controlling the sensitivity of the temperature and pressure adjustment, and is the error compensation term, used to improve the accuracy of the setting; Applying the adjusted temperature and pressure setting data to ensure that the yarn is fed in an optimal physical state, the physical stability index of the yarn is calculated using the formula,

[0012] Generate yarn physical stability index data, where: and is the ideal temperature and pressure setting, Indicates the physical stability index of the yarn, is a tuning parameter used to enhance the sensitivity of the stability calculation; According to the yarn physical stability index data, the formula is used:

[0013] Generate yarn status response indicators ,in, is the base of natural logarithms, is the adjustment coefficient of the response curve.

[0014] As a further solution of the present invention, the step of calculating the deviation between the feed speed and the preset feed speed is: The sensor monitors the real-time feeding speed of the yarn in the loom, collects data, and generates the current feeding speed data ; According to the yarn state response index, combined with the original production standard initial speed, the yarn preset feeding speed is adjusted, using the formula,

[0015] Generates adjusted preset feed rate ,in, is the initial speed set based on the original production standard, It is a yarn status response indicator used to fine-tune the preset speed and reflect the actual physical condition of the yarn. is the adjustment factor, which is used to adjust the preset speed according to the yarn status indicators; Combined with the current feed rate data and adjusted preset feed speed , calculate the deviation between the current feed rate and the preset feed rate, and apply the formula,

[0016] in, is the error adjustment coefficient, used to smooth instantaneous changes, It represents the adjusted speed difference and generates yarn feed speed deviation data.

[0017] As a further solution of the present invention, the step of obtaining the real-time speed regulation feedback parameter is: Combined with the feed rate deviation and yarn real-time physical status index , calculate the new target feed rate, using the formula,

[0018] Generate target feed rate data, where is the speed deviation adjustment coefficient, which indicates the direct effect of the deviation on the target speed. is the adjustment coefficient of the yarn physical state index, which indicates the influence of the physical state index on the target speed. It is the new target feed rate adjusted based on deviation and physical state.

[0019] According to the target feed speed data, the adaptability to the weaving requirements is calculated using the formula:

[0020] Generates adjusted feed rate ,in, is the physical state deviation adjustment factor, It is an indicator of the ideal yarn state. It is an actual yarn condition indicator, and the nonlinear response to the deviation is adjusted using fractions and square roots.

[0021] According to the adjusted feed rate , using the formula,

[0022] Get the real-time speed control feedback parameters, where: is the balance coefficient of the speed feedback, is the optimal speed setting, It represents the feedback control parameter obtained by combining the current adjustment and the optimal speed.

[0023] As a further solution of the present invention, the steps for analyzing the influence of the change in yarn curvature on the control of yarn tension are as follows: Obtain the real-time speed control feedback parameter, calculate the speed proportional coefficient, and use the formula:

[0024] in, is the real-time speed control feedback parameter, is the adjustment coefficient, which is used to optimize the calculation efficiency and accuracy of the speed proportional coefficient. is the ideal feed rate, is the yarn radius, and the velocity proportionality coefficient is obtained ; According to the speed proportionality coefficient, the curvature of the yarn is calculated , applying the formula,

[0025] in, is the adjustment factor, which is used to adjust the accuracy of the calculation and obtain the yarn curvature data; Analyze the effect of the yarn curvature data on the yarn tension and calculate the tension requirement using the formula,

[0026] in, is the basic tension, is the influence coefficient, which is used to adjust the effect of increased curvature on tension. is the required tension, and the yarn tension demand data is obtained.

[0027] As a further solution of the present invention, the steps for obtaining the yarn tension control geometric model are: According to the yarn tension demand data, the tension of the new configuration is calculated using the formula,

[0028] in, is the tension of the new configuration, is the system sensitivity coefficient, which is used to adjust the sensitivity of the tension configuration. It is the adjustment factor, which is used to adjust the demand changes in the production process and obtain the new tension setting data; According to the new tension setting data, combined with the physical state of the yarn, the tension setting of the loom is adjusted, using the formula,

[0029] in, is the current yarn tension, is the ideal yarn tension, is the final adjusted tension, and the loom tension setting data is obtained; According to the loom tension setting data, verify the adaptability, through the formula,

[0030] in, is the actual length of the yarn, is the ideal length, is the tension setting of the loom before adjustment. It is a verification factor to ensure that the new tension setting of the loom matches the production changes and to establish a geometric model for yarn tension regulation.

[0031] As a further solution of the present invention, the step of evaluating the impact of environmental changes on the yarn feeding speed is: Based on the yarn tension control geometric model, the temperature and humidity of the current environment are monitored simultaneously, and the environmental parameter calculation formula is used to calculate the

[0032] in, Represents environmental parameters, and is the nonlinear weight factor of temperature and humidity, and Respectively represent the real-time monitored ambient temperature and humidity, and output comprehensive environmental parameter data; Combining the comprehensive environmental parameter data with the real-time yarn feeding speed , to evaluate the effect on yarn tension, the formula is used,

[0033] in, Indicates the impact value, and It is the adjustment coefficient, which reflects the influence of feed speed and environmental parameters on tension and outputs the tension influence assessment result; Using the tension impact assessment results, the yarn processing parameters are readjusted, using the formula,

[0034] Determination of new yarn processing parameters , matching the current production conditions, where and are linear and nonlinear adjustment coefficients used to refine yarn processing parameters.

[0035] As a further solution of the present invention, the steps of obtaining the environment-matching yarn control parameters are: According to the new yarn processing parameters, the conversion is performed using the formula,

[0036] Conduct preliminary environmental adaptability tests and generate test results ,in, is the production condition adaptability coefficient, which is used to evaluate the adaptability of yarn processing parameters; According to the test results, determine whether further adjustment is needed. If necessary, use the formula:

[0037] Optimize and adjust to perfectly match current production conditions and generate final yarn processing parameters ,in, is an ideal test result. is the adjustment intensity parameter, which is used to fine-tune the processing parameters according to the test results; Apply the final yarn processing parameters on the loom, monitor the actual effect, use the formula,

[0038] Get the production quality index of sisal carpet ,in, Represents production efficiency and is used to adjust Contribution to production quality, It stands for the quality deviation adjustment coefficient, which is used to fine-tune the quality fluctuations in the production process and output the yarn control parameters that match the environment.

[0039] Compared with the prior art, the advantages and positive effects of the present invention are: In the present invention, the responsiveness and accuracy of the weaving process are greatly improved by comprehensively applying the real-time adjustment of temperature and pressure and the dynamic yarn feed speed control. By adjusting the physical state of the yarn in real time, the weaving demand can be accurately matched to ensure the continuity and stability of the yarn supply, and the breakage and yarn loss caused by mismatch can be significantly reduced. The differential geometry analysis makes the adjustment of the yarn tension more targeted and scientific, and optimizes the quality and structural uniformity of the sisal carpet. At the same time, the system's intelligent response function to environmental factors allows high-quality production to be maintained in a changing production environment, reduces dependence on operators, and promotes production automation and efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 is a system flow chart of the present invention; Figure 2 A flowchart for obtaining a yarn state response index according to the present invention; Figure 3 The figure is a flow chart for calculating the deviation between the feed speed of the present invention and the preset feed speed; Figure 4 This is a flow chart for obtaining real-time speed regulation feedback parameters of the present invention; Figure 5 The flowchart of the present invention is an analysis of the influence of the change of yarn curvature on the control of yarn tension; Figure 6 A flowchart for obtaining a geometric model for yarn tension control according to the present invention; Figure 7 A flow chart for evaluating the effect of environmental changes on yarn feed speed according to the present invention; Figure 8 A flow chart for obtaining yarn control parameters matching the environment of the present invention. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0042] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0043] Embodiment 1

[0044] See also Figure 1 , a sisal carpet loom yarn feeding speed control system comprises: The temperature and pressure coordinated adjustment module collects the temperature and pressure data of sisal yarn feeding, calculates the data changes, adjusts the temperature and pressure matching deviation in the loom feeding pipeline, stabilizes the physical state of the yarn, and generates the yarn state response index; The real-time monitoring module monitors the feeding speed of the yarn in the loom according to the yarn state response index, calculates the deviation between the feeding speed and the preset feeding speed, and dynamically adjusts the feeding speed to match the weaving demand according to the calculation result combined with the real-time physical state of the yarn to obtain the real-time speed regulation feedback parameter; The differential geometry analysis module uses real-time speed feedback parameters to measure the curvature of the yarn during the weaving process, analyze the impact of the change in yarn curvature on the yarn tension control, reconfigure the tension setting based on the analysis results, match the physical requirements of the yarn, and establish a geometric model for yarn tension control; The environmental response regulation module monitors the environmental temperature and humidity factors according to the tension control geometric model, combines the real-time data of yarn feeding, evaluates the impact of environmental changes on the yarn feeding speed, adjusts the yarn processing parameters according to the evaluation results to match the current production conditions, and obtains the yarn control parameters that match the environment.

[0045] The yarn state response indicators include temperature stability analysis results, pressure consistency analysis results and yarn quality monitoring records. The real-time speed regulation feedback parameters include speed adjustment response results, tension balance state analysis results and feeding accuracy. The yarn tension control geometric model includes curvature adjustment effect, tension matching degree records and weaving compatibility analysis results. The environmental matching yarn control parameters include temperature adaptation indicators, humidity response indicators and environmental stability adjustment records.

[0046] See also Figure 2 , the steps for obtaining the yarn state response index are: Temperature when collecting sisal yarn feed and pressure , recorded as time series data and , Denotes a time point, calculates the first derivative of the data, using the formula,

[0047]

[0048] Generate instantaneous temperature and pressure rate of change data, where and Represents at time temperature and pressure, and is the instantaneous rate of change of temperature and pressure; Using the instantaneous temperature and pressure rate of change data, the temperature and pressure settings of the loom feed pipe are adjusted to match the physical properties of the yarn, using the formula,

[0049]

[0050] Generate adjusted temperature and pressure setting data, where and Indicates new temperature and pressure setting data, and is the current temperature and pressure setting of the loom feed pipe, and is the adjustment factor, controlling the sensitivity of the temperature and pressure adjustment, and is the error compensation term, used to improve the accuracy of the setting; Apply the adjusted temperature and pressure settings to ensure the yarn is fed in the optimal physical state and calculate the yarn physical stability index using the formula,

[0051] Generate yarn physical stability index data, where: and is the ideal temperature and pressure setting, Indicates the physical stability index of the yarn, is a tuning parameter used to enhance the sensitivity of the stability calculation; According to the yarn physical stability index data, the formula is used.

[0052] Generate yarn status response indicators ,in, is the base of natural logarithms, is the adjustment coefficient of the response curve.

[0053] Assume that at time point The temperature data is Celsius and yes Celsius, the time interval is 1 hour, calculate the instantaneous rate of change of temperature (unit: Celsius / hour):

[0054] Similarly, if the pressure is yes And in yes , calculate the instantaneous rate of change of pressure (unit: kPa / hour):

[0055] The values ​​show that the temperature and pressure rose by 5 degrees Celsius and Kilopascals, instantaneous rate of change is an important indicator for evaluating loom performance.

[0056] Assume the current temperature setting is Celsius and pressure kPa, adjustment factor and error compensation Celsius, Kilopascal:

[0057]

[0058] The values ​​indicate the new temperature and pressure settings should be adjusted to Celsius and kPa, to suit the physical properties of the yarn.

[0059] Assuming ideal temperature Celsius and pressure kPa, and , substitute into the formula to calculate:

[0060]

[0061] Stability Index This indicates that the physical stability of the yarn under the current conditions is low and further adjustments are needed.

[0062] like ,but:

[0063] Response indicators It means that under the current physical stability index, the response of the yarn is above average, which means that the loom has a certain adaptability, but there is still room for improvement.

[0064] See also Figure 3 , the calculation steps of the deviation between the feed speed and the preset feed speed are: The sensor monitors the real-time feeding speed of the yarn in the loom, collects data, and generates the current feeding speed data ; According to the yarn state response index, combined with the original production standard initial speed, the yarn preset feed speed is adjusted, using the formula,

[0065] Generates adjusted preset feed rate ,in, is the initial speed set based on the original production standard, It is a yarn status response indicator used to fine-tune the preset speed and reflect the actual physical condition of the yarn. is the adjustment factor, which is used to adjust the preset speed according to the yarn status indicators; Combined with current feed rate data and adjusted preset feed speed , calculate the deviation between the current feed rate and the preset feed rate, and apply the formula,

[0066] in, is the error adjustment coefficient, used to smooth instantaneous changes, It represents the adjusted speed difference and generates yarn feed speed deviation data.

[0067] Assumptions:

[0068] Indicates the status indicator for each increase of 1 unit , the preset speed will increase by 5%.

[0069] Substituting into the formula, we get:

[0070] The adjusted preset feed rate is obtained It means that after considering the yarn quality status indicators, the preset speed is adjusted to better match the actual production needs. The increased speed can improve production efficiency while ensuring that the yarn quality is not affected.

[0071] If the error adjustment factor is 0.01, .

[0072] Combined with the above calculation results , substituting into the formula, we get:

[0073] Calculated speed deviation It means that the current feeding speed is faster than the adjusted preset speed. The feeding speed can be adjusted according to the deviation value to ensure the best match between yarn quality and production efficiency.

[0074] See also Figure 4 , the steps to obtain the real-time speed control feedback parameters are: Combined feed rate deviation and yarn real-time physical status index , calculate the new target feed rate, using the formula,

[0075] Generate target feed rate data, where is the speed deviation adjustment coefficient, which indicates the direct effect of the deviation on the target speed. is the adjustment coefficient of the yarn physical state index, which indicates the influence of the physical state index on the target speed. It is the new target feed rate adjusted based on deviation and physical state.

[0076] According to the target feed speed data, calculate the adaptability to weaving requirements, using the formula,

[0077] Generates adjusted feed rate ,in, is the physical state deviation adjustment factor, It is an indicator of the ideal yarn state. It is an actual yarn condition indicator, and the nonlinear response to the deviation is adjusted using fractions and square roots.

[0078] According to the adjusted feed rate , using the formula,

[0079] Get the real-time speed control feedback parameters, where: is the balance coefficient of the speed feedback, is the optimal speed setting, It represents the feedback control parameter obtained by combining the current adjustment and the optimal speed.

[0080] According to the above calculations, we know that: for , for .

[0081] Assumptions is 0.5, is 0.1, is 0.8.

[0082] Substituting into the formula, we get:

[0083]

[0084]

[0085]

[0086] The target feed rate obtained It means that after considering the current physical state of the yarn and the speed deviation, a new feed speed is set for the best weaving effect, helping the loom to more accurately match production needs and yarn quality.

[0087] Assumptions is 0.2, is 0.9, combined with the above calculation data:

[0088]

[0089]

[0090]

[0091]

[0092] Calculated adjusted feed rate Indicates the feed speed adjusted according to the deviation between the actual yarn state and the ideal state. This speed ensures that the loom can operate under close to ideal conditions and optimize product quality.

[0093] Balance coefficient of speed feedback , assuming it is 0.7, the ideal feed rate , assuming that .but:

[0094]

[0095]

[0096] The real-time speed feedback parameters obtained Real-time control of yarn feed speed ensures that the loom runs at a speed close to ideal conditions, thereby improving product quality and production efficiency, and is a key factor in maintaining production stability.

[0097] See also Figure 5 , the analysis steps of the influence of yarn curvature change on yarn tension control are: Get real-time speed control feedback parameters, calculate the speed proportional coefficient, and use the formula:

[0098] in, is the real-time speed control feedback parameter, is the adjustment coefficient, which is used to optimize the calculation efficiency and accuracy of the speed proportional coefficient. is the ideal feed rate, is the yarn radius, and the velocity proportionality coefficient is obtained ; Calculate the curvature of the yarn based on the speed proportionality factor , applying the formula,

[0099] in, is the adjustment factor, which is used to adjust the accuracy of the calculation and obtain the yarn curvature data; Analyzing the effect of yarn curvature data on yarn tension and calculate the tension requirement using the formula,

[0100] in, is the basic tension, is the influence coefficient, which is used to adjust the effect of increased curvature on tension. is the required tension, and the yarn tension demand data is obtained.

[0101] Assuming adjustment factor , is 1.2, real-time speed feedback parameter is 0.8, the ideal feed rate 200 m / min, yarn radius It is 0.02 meters.

[0102] The calculation formula is as follows:

[0103] Final Result Represents the speed proportionality factor, which is used in subsequent curvature calculations and affects the physical properties and manufacturing process of the yarn.

[0104] Assumptions is 0.95, then:

[0105] Final Result Represents the curvature value of the yarn, which directly affects the tension control and the quality of the entire weaving.

[0106] : Base tension, assumed to be 100 Newtons.

[0107] : Influence coefficient, used to adjust tension, assumed to be 0.05.

[0108] Substituting into the formula, we get:

[0109]

[0110] Final Result Newton represents the actual required tension of the yarn, showing how much tension the yarn needs to have under the current curvature. Newton's tension to maintain stability and mass.

[0111] See also Figure 6 , the steps to obtain the geometric model of yarn tension control are: According to the yarn tension demand data, calculate the tension of the new configuration, using the formula,

[0112] in, is the tension of the new configuration, is the system sensitivity coefficient, which is used to adjust the sensitivity of the tension configuration. It is the adjustment factor, which is used to adjust the demand changes in the production process and obtain the new tension setting data; According to the new tension setting data, combined with the physical state of the yarn, adjust the tension setting of the loom, using the formula,

[0113] in, is the current yarn tension, is the ideal yarn tension, is the final adjusted tension, and the loom tension setting data is obtained; According to the loom tension setting data, verify the adaptability, through the formula,

[0114] in, is the actual length of the yarn, is the ideal length, is the tension setting of the loom before adjustment. It is a verification factor to ensure that the new tension setting of the loom matches the production changes and to establish a geometric model for yarn tension regulation.

[0115] Assumptions: : System sensitivity, used to adjust the sensitivity of the tension configuration, assumed to be 0.1.

[0116] : Adjustment factor, taking into account possible changes in demand during the production process, assumed to be 0.05.

[0117] Combined with the above calculation results, the demand tension is Newton, then:

[0118] Final Result Newtons represent the tension of the new configuration. This adjustment accounts for small variations in production requirements, ensuring that tension settings more accurately match actual physical requirements.

[0119] : Actual yarn tension state, assuming that the current tension state value is 140 Newtons.

[0120] : Ideal yarn tension state, the design value is 150 Newtons.

[0121] Substitute into the formula and calculate:

[0122]

[0123]

[0124] Final Result Newtons indicate the adjusted tension setting. This adjustment reflects the difference between the actual yarn state and the ideal state and ensures the proper configuration of the yarn tension by adjusting the formula.

[0125] Assumptions: : The actual length of the yarn, assumed to be 500 meters.

[0126] : Ideal length, based on initial design parameters, assumed to be 480 meters.

[0127] : The adjusted tension is 140.8 Newtons.

[0128] : The front loom tension is not adjusted, assumed to be 130 Newtons.

[0129] but:

[0130]

[0131] Final Result Represents the verification factor, which is used to verify the suitability of the new tension setting. It indicates good adaptability and ensures that the yarn maintains stability and quality during the production process.

[0132] See also Figure 7 , the evaluation steps of the effect of environmental changes on yarn feed speed are: Based on the yarn tension control geometric model, the temperature and humidity of the current environment are monitored simultaneously, and the environmental parameter calculation formula is used to calculate the

[0133] in, Represents environmental parameters, and is the nonlinear weight factor of temperature and humidity, and Respectively represent the real-time monitored ambient temperature and humidity, and output comprehensive environmental parameter data; Combining comprehensive environmental parameter data with real-time yarn feed speed , to evaluate the effect on yarn tension, the formula is used,

[0134] in, Indicates the impact value, and It is the adjustment coefficient, which reflects the influence of feed speed and environmental parameters on tension and outputs the tension influence assessment result; Using the tension impact assessment results, the yarn processing parameters were readjusted using the formula,

[0135] Determination of new yarn processing parameters , matching the current production conditions, where and are linear and nonlinear adjustment coefficients used to refine yarn processing parameters.

[0136] Assuming that under certain conditions, the temperature Celsius and humidity , and the coefficients obtained through experiments and .

[0137] Substituting into the formula, we get:

[0138]

[0139] Environmental parameter values It represents the comprehensive impact index of temperature and humidity on the environment, which is used for subsequent calculation of yarn tension control.

[0140] Assuming the current yarn feed speed , and the coefficient and ,but:

[0141] This tension control parameter It represents the influence of yarn feed speed on the tension control system under the current environment, indicating that the current environment and yarn feed speed have a certain influence on the yarn tension control.

[0142] set up and :

[0143]

[0144] Final yarn processing parameters It means that under the current environment, new processing parameters calculated according to the yarn tension control model are used to adjust the production settings of the yarn to ensure the quality of the sisal carpet.

[0145] See also Figure 8 , the steps for obtaining the yarn control parameters matching the environment are: According to the new yarn processing parameters, the conversion is carried out using the formula,

[0146] Conduct preliminary environmental adaptability tests and generate test results ,in, is the production condition adaptability coefficient, which is used to evaluate the adaptability of yarn processing parameters; According to the test results, determine whether further adjustment is needed. If necessary, use the formula:

[0147] Optimize and adjust to perfectly match current production conditions and generate final yarn processing parameters ,in, is an ideal test result. is the adjustment intensity parameter, which is used to fine-tune the processing parameters according to the test results; Apply final yarn treatment parameters on the loom, monitor actual results, use formulas,

[0148] Get the production quality index of sisal carpet ,in, Represents production efficiency and is used to adjust Contribution to production quality, It stands for the quality deviation adjustment coefficient, which is used to fine-tune the quality fluctuations in the production process and output the yarn control parameters that match the environment.

[0149] Assumptions (represents the adjustment parameter value of yarn processing, which is convenient for calculation), set (production condition adaptability coefficient), put it into the formula and calculate:

[0150] This result According to The preliminary assessment value of adaptability is compared with the ideal test result. If it is smaller than the ideal test result, further adjustment is needed.

[0151] like (ideal test result) and (Adjust the strength parameter), then:

[0152] result Indicates slight adjustment The final yarn processing parameters can be adjusted to better match the production conditions.

[0153] set up (Productivity Coefficient) and (Mass deviation adjustment factor), then:

[0154] Final production quality indicators It shows that production quality and efficiency are in a better state after adjustment.

[0155] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A yarn feeding speed control system for a sisal carpet loom, characterized in that: The system comprises: The temperature and pressure coordinated adjustment module collects the temperature and pressure data of sisal yarn feeding, calculates the data changes, adjusts the temperature and pressure matching deviation in the loom feeding pipeline, stabilizes the physical state of the yarn, and generates the yarn state response index; The real-time monitoring module monitors the feeding speed of the yarn in the loom according to the yarn state response index, calculates the deviation between the feeding speed and the preset feeding speed, and dynamically adjusts the feeding speed to match the weaving demand according to the calculation result combined with the real-time physical state of the yarn to obtain the real-time speed regulation feedback parameter; The differential geometry analysis module uses the real-time speed control feedback parameters to measure the curvature of the yarn during the weaving process, analyze the impact of the change in yarn curvature on the yarn tension control, reconfigure the tension setting according to the analysis results, match the physical requirements of the yarn, and establish a yarn tension control geometry model; The environmental response adjustment module monitors the environmental temperature and humidity factors according to the tension control geometric model, combines the real-time data of yarn feeding, evaluates the impact of environmental changes on the yarn feeding speed, adjusts the yarn processing parameters to match the current production conditions according to the evaluation results, and obtains the yarn control parameters matching the environment.

2. The yarn feeding speed control system for a sisal carpet loom according to claim 1, characterized in that: The steps for obtaining the yarn state response index are as follows: Temperature when collecting sisal yarn feed and pressure , recorded as time series data and , Denotes a time point, calculates the first derivative of the data, using the formula, ； ； Generate instantaneous temperature and pressure rate of change data, where and Represents at time temperature and pressure, and is the instantaneous rate of change of temperature and pressure; Using the instantaneous temperature and pressure rate of change data, the temperature and pressure settings of the loom feed pipe are adjusted to match the physical properties of the yarn, using the formula, ； ； Generate adjusted temperature and pressure setting data, where and Indicates new temperature and pressure setting data, and is the current temperature and pressure setting of the loom feed pipe, and is the adjustment factor, controlling the sensitivity of the temperature and pressure adjustment, and is the error compensation term, used to improve the accuracy of the setting; Applying the adjusted temperature and pressure setting data to ensure that the yarn is fed in an optimal physical state, the physical stability index of the yarn is calculated using the formula, ； Generate yarn physical stability index data, where: and is the ideal temperature and pressure setting, Indicates the physical stability index of the yarn, is a tuning parameter used to enhance the sensitivity of the stability calculation; According to the yarn physical stability index data, the formula is used: ； Generate yarn status response indicators ,in, is the base of natural logarithms, is the adjustment coefficient of the response curve.

3. The yarn feeding speed control system for a sisal carpet loom according to claim 2 is characterized in that: The calculation steps of the deviation between the feed speed and the preset feed speed are as follows: The sensor monitors the real-time feeding speed of the yarn in the loom, collects data, and generates the current feeding speed data ; According to the yarn state response index, combined with the original production standard initial speed, the yarn preset feeding speed is adjusted, using the formula, ； Generates adjusted preset feed rate ,in, is the initial speed set based on the original production standard, It is a yarn status response indicator used to fine-tune the preset speed and reflect the actual physical condition of the yarn. is the adjustment factor, which is used to adjust the preset speed according to the yarn status indicators; Combined with the current feed rate data and adjusted preset feed speed , calculate the deviation between the current feed rate and the preset feed rate, and apply the formula, ； in, is the error adjustment coefficient, used to smooth instantaneous changes, It represents the adjusted speed difference and generates yarn feed speed deviation data.

4. The yarn feeding speed control system for a sisal carpet loom according to claim 3 is characterized in that: The steps for obtaining the real-time speed regulation feedback parameters are as follows: Combined with the feed rate deviation and yarn real-time physical status index , calculate the new target feed rate, using the formula, ； Generate target feed rate data, where is the speed deviation adjustment coefficient, which indicates the direct effect of the deviation on the target speed. is the adjustment coefficient of the yarn physical state index, which indicates the influence of the physical state index on the target speed. is the new target feed rate adjusted based on deviation and physical state; According to the target feed speed data, the adaptability to the weaving requirements is calculated using the formula: ； Generates adjusted feed rate ,in, is the physical state deviation adjustment factor, It is an indicator of the ideal yarn state. For the actual yarn condition index, the nonlinear response to the deviation is adjusted using fractions and square roots; According to the adjusted feed rate , using the formula, ； Get the real-time speed control feedback parameters, where: is the balance coefficient of the speed feedback, is the optimal speed setting, It represents the feedback control parameter obtained by combining the current adjustment and the optimal speed.

5. The yarn feeding speed control system for a sisal carpet loom according to claim 4, characterized in that: The steps for analyzing the influence of the yarn curvature change on the yarn tension control are as follows: Obtain the real-time speed control feedback parameter, calculate the speed proportional coefficient, and use the formula: ； in, is the real-time speed feedback parameter, is the adjustment coefficient, which is used to optimize the calculation efficiency and accuracy of the speed proportional coefficient. is the ideal feed rate, is the yarn radius, and the velocity proportionality coefficient is obtained ; According to the speed proportionality coefficient, the curvature of the yarn is calculated , applying the formula, ； in, is the adjustment factor, which is used to adjust the accuracy of the calculation and obtain the yarn curvature data; Analyze the effect of the yarn curvature data on the yarn tension and calculate the tension requirement using the formula, ； in, is the basic tension, is the influence coefficient, which is used to adjust the effect of increased curvature on tension. is the required tension, and the yarn tension demand data is obtained.

6. The yarn feeding speed control system for a sisal carpet loom according to claim 5, characterized in that: The steps for obtaining the yarn tension control geometric model are as follows: According to the yarn tension demand data, the tension of the new configuration is calculated using the formula, ； in, is the tension of the new configuration, is the system sensitivity coefficient, which is used to adjust the sensitivity of the tension configuration. It is the adjustment factor, which is used to adjust the demand changes in the production process and obtain the new tension setting data; According to the new tension setting data, combined with the physical state of the yarn, the tension setting of the loom is adjusted, using the formula, ； in, is the current yarn tension, is the ideal yarn tension, is the final adjusted tension, and the loom tension setting data is obtained; According to the loom tension setting data, verify the adaptability, through the formula, ； in, is the actual length of the yarn, is the ideal length, is the tension setting of the loom before adjustment. It is a verification factor to ensure that the new tension setting of the loom matches the production changes and to establish a geometric model for yarn tension regulation.

7. The yarn feeding speed control system for a sisal carpet loom according to claim 6, characterized in that: The steps for evaluating the impact of environmental changes on yarn feeding speed are as follows: Based on the yarn tension control geometric model, the temperature and humidity of the current environment are monitored simultaneously, and the environmental parameter calculation formula is used to calculate the ； in, Represents environmental parameters, and is the nonlinear weight factor of temperature and humidity, and Respectively represent the real-time monitored ambient temperature and humidity, and output comprehensive environmental parameter data; Combining the comprehensive environmental parameter data with the real-time yarn feeding speed , to evaluate the effect on yarn tension, the formula is used, ； in, Indicates the impact value, and It is the adjustment coefficient, which reflects the influence of feed speed and environmental parameters on tension and outputs the tension influence assessment result; Using the tension impact assessment results, the yarn processing parameters are readjusted, using the formula, ； Determination of new yarn processing parameters , matching the current production conditions, where and are linear and nonlinear adjustment coefficients used to refine yarn processing parameters.

8. The yarn feeding speed control system for a sisal carpet loom according to claim 7, characterized in that: The steps for obtaining the yarn control parameters matching the environment are as follows: According to the new yarn processing parameters, the conversion is performed using the formula, ； Conduct preliminary environmental adaptability tests and generate test results ,in, is the production condition adaptability coefficient, which is used to evaluate the adaptability of yarn processing parameters; According to the test results, determine whether further adjustment is needed. If necessary, use the formula: ； Optimize and adjust to perfectly match current production conditions and generate final yarn processing parameters ,in, is an ideal test result. is the adjustment intensity parameter, which is used to fine-tune the processing parameters according to the test results; Apply the final yarn processing parameters on the loom, monitor the actual effect, use the formula, ； Get the production quality index of sisal carpet ,in, Represents production efficiency and is used to adjust Contribution to production quality, It stands for the quality deviation adjustment coefficient, which is used to fine-tune the quality fluctuations in the production process and output the yarn control parameters that match the environment.

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