A method and system for accurately measuring the length of textile cloth

Abstract

The present invention relates to the field of length measurement, and in particular to a method and system for accurately measuring the length of textile cloth. The method comprises: obtaining first tension data and first vibration data of the cloth to be measured within a first preset time under an ideal state, and second tension data and second vibration data within a second preset time under an actual state; determining a tension deviation value using the first tension data and the second tension data; determining a matching degree between the second vibration data and the second tension data using the second vibration data and the second tension data; determining a filtering necessity of the second tension data using the tension deviation value and the matching degree; determining adjusted tension data using the filtering necessity of the second tension data, and then using the adjusted tension data to determine the actual length of the cloth to be measured. The present invention can analyze the actual tension data and the actual vibration data, and adjust the tension of the tension device to determine the actual length of the cloth to be measured.

Description

Technical Field

[0001] The invention relates to the field of length measurement, and in particular to a method and system for accurately measuring the length of a textile cloth. Background Art

[0002] In the textile production process, accurate measurement of cloth length is a key link. The length of cloth directly affects the accuracy of production planning, inventory management and downstream processing. Traditional cloth length measurement methods mainly include mechanical metering devices and electronic metering devices. Mechanical devices usually include rollers and counters, relying on mechanical transmission to record the length. Electronic metering devices use sensors and electronic counters for measurement. And use traction devices such as rollers to drive the movement of cloth.

[0003] Conventional cloth pulling devices usually rely on manual experience to adjust the pulling force and speed according to the current cloth parameters, and use tension sensors to monitor whether the cloth tension is appropriate in real time to avoid damage to the cloth due to excessive tension and failure to stretch the cloth due to insufficient tension. However, since frequent vibrations of the equipment itself are often unavoidable in textile pulling devices, it will cause great interference to the data collected by the tension sensor. Therefore, how to ensure the accuracy of tension data is the key to ensuring the safety of cloth quality and accurate length measurement during cloth pulling. Summary of the invention

[0004] In order to solve the technical problem, the purpose of the present invention is to provide a method and system for accurately measuring the length of textile cloth, which can analyze the actual tension data and the actual vibration data, and adjust the tension of the tension device to determine the actual length of the cloth to be measured.

[0005] The technical solution adopted is as follows: a method for accurately measuring the length of textile cloth is provided, including: obtaining first tension data and first vibration data of the cloth to be measured within a first preset time under an ideal state, and second tension data and second vibration data within a second preset time under an actual state; using the second tension data, the second vibration data, the first tension data and the first vibration data to determine the instantaneous change correlation and correlation degree of the second tension data and the second vibration data; using the first tension data and the second tension data to determine the tension deviation value; using the second vibration data and the second tension data to determine the matching degree between the second vibration data and the second tension data; using the tension deviation value and the matching degree to determine the filtering necessity of the second tension data; using the filtering necessity of the second tension data to adjust the second tension data, determine the adjusted tension data, and then use the adjusted tension data to determine the actual length of the cloth to be measured.

[0006] In one embodiment of the present invention, the second tension data, the second vibration data, the first tension data and the first vibration data are used to determine the correlation and correlation degree of the instantaneous changes between the second tension data and the second vibration data; including: using the first tension data to determine the first tension constant, and then using the first tension constant and the first tension data to determine the first tension fluctuation constant; using the first vibration data to determine the first vibration constant, and then using the first vibration data and the first vibration constant to determine the first vibration fluctuation constant; using the second tension data to determine the second tension constant, and then using the second tension constant and the second tension data to determine the second tension fluctuation constant; using the second vibration data to determine the second vibration constant, and then using the second vibration data and the second vibration constant to determine the second vibration fluctuation constant; respectively determining the correlation and correlation degree of the instantaneous changes between the second tension data and the second vibration data for the difference between the second vibration data and the first vibration constant, the difference between the second tension data and the first tension constant, the difference between the second tension fluctuation constant and the first tension fluctuation constant, and the difference between the second vibration fluctuation constant and the first vibration fluctuation constant.

[0007] In one embodiment of the present invention, the first tension data is used to determine a first tension constant, and then the first tension constant and the first tension data are used to determine a first tension fluctuation constant; including: using the first tension data to determine a first tension constant, wherein the first tension constant is an average value of the first tension data within a first preset time; using the first tension constant and the first tension data to determine a first tension difference, wherein the first tension difference is defined as the difference between the first tension data and the first tension constant at each moment within the first preset time; obtaining the standard deviation of the first tension difference to determine a first tension fluctuation constant; using the first vibration data to determine a first vibration constant, and then using the first vibration data and the first vibration constant to determine a first vibration fluctuation constant; including: using the first vibration According to the present invention, a first vibration constant is determined by using the first vibration constant and the first vibration data, wherein the first vibration difference is defined as the difference between the first vibration data and the first vibration constant at each moment in the first preset time; a standard deviation of the first vibration difference is obtained to determine a first vibration fluctuation constant; and a correlation and a degree of correlation between the instantaneous changes of the second tension data and the second vibration data are determined by using the difference between the second vibration data and the first vibration constant, the difference between the second tension data and the first tension constant, the difference between the second tension fluctuation constant and the first tension fluctuation constant, and the difference between the second vibration fluctuation constant and the first vibration fluctuation constant.

[0008] In one embodiment of the present invention, the second tension data is used to determine the second tension constant, and then the second tension constant and the second tension data are used to determine the second tension fluctuation constant; including: using the second tension data to determine the second tension constant, wherein the second tension constant is the average value of the second tension data within the second preset time; using the second tension constant and the second tension data to determine the second tension difference, wherein the second tension difference is defined as the difference between the second tension data at each moment within the second preset time and the second tension constant; obtaining the standard deviation of the second tension difference to determine the second tension fluctuation constant; using the second vibration data to determine the second vibration constant, and then using the second vibration data and the second vibration constant to determine the second vibration fluctuation constant; including: using the second vibration data to determine the second vibration constant, wherein the second vibration constant is the average value of the second vibration data within the second preset time; using the second vibration constant and the second vibration data to determine the second vibration difference, wherein the second vibration difference is defined as the difference between the second vibration data at each moment within the second preset time and the second vibration constant; obtaining the standard deviation of the second vibration difference to determine the second vibration fluctuation constant.

[0009] In one embodiment of the present invention, the tension deviation value is determined using the first tension data and the second tension data; including: using the first tension data to determine a first tension constant, wherein the first tension constant is an average value of the first tension data within a first preset time; using the first tension constant and the first tension data to determine a first tension difference, wherein the first tension difference is defined as a difference between the first tension data at each moment within the first preset time and the first tension constant; obtaining the standard deviation of the first tension difference to determine a first tension fluctuation constant; using the second tension data to determine a second tension constant, wherein the second tension constant is an average value of the second tension data within the second preset time; using the second tension constant and the second tension data to determine a second tension difference, wherein the second tension difference is defined as a difference between the second tension data at each moment within the second preset time and the second tension constant; obtaining the standard deviation of the second tension difference to determine a second tension fluctuation constant; using the difference between the second tension fluctuation constant and the first tension fluctuation constant, and the difference between the second tension constant and the first tension constant, to determine a tension deviation value.

[0010] In one embodiment of the present invention, the second vibration data and the second tension data are used to determine the degree of match between the second vibration data and the second tension data; including: obtaining the friction direction and the ideal friction direction of the second tension data, and determining the friction deviation evaluation value of the second tension data, wherein the ideal friction direction is the direction opposite to the cloth transmission direction; determining the shortest matching path using the second vibration data and the second tension data, wherein the length of the shortest matching path is the distance between the matching points; obtaining the weight value of the second vibration data and the weight value of the second tension data; determining the degree of match between the second tension data using the friction deviation evaluation value, the distance between the matching points, the weight value of the second vibration data and the weight value of the second tension data.

[0011] In one embodiment of the present invention, the friction direction and the ideal friction direction of the second tension data are obtained, and the friction deviation evaluation value of the second tension data is determined, wherein the ideal friction direction is the direction opposite to the cloth transmission direction; including: obtaining the friction data points and their respective friction directions at two moments before and after the central friction data point, wherein the central friction data point is the second tension data at a certain moment within the second preset time; determining the local friction deviation factor by using the friction direction of the friction data points at two moments before and after the central friction data point and the friction direction deviation of the central friction data point; obtaining the maximum friction direction deviation between two of the friction data points at five moments to determine the friction deviation range; determining the friction deviation evaluation value of the central friction data point by using the local friction deviation factor and the local friction deviation range.

[0012] In one embodiment of the present invention, the necessity of filtering the second tension data is determined by using the tension deviation value and the matching degree, which includes: performing equal-weighted addition of the tension deviation value and the matching degree to determine the necessity of filtering the second tension data.

[0013] In one embodiment of the present invention, the second tension data is adjusted using the second tension data filtering necessity degree to determine the adjusted tension data, and then the adjusted tension data is used to determine the actual length of the cloth to be measured; including: using the second tension data filtering necessity degree to adapt the filtering fitting order of the second tension data to obtain the adjusted tension data; obtaining the tension target value, and determining the tension adjustment amount using the adjusted tension data and the tension target value; using the tension adjustment amount to adjust the tension adjustment mechanism to determine the current tension data, and then determine the actual length of the cloth to be measured.

[0014] To solve the above technical problems, another technical solution adopted by the present invention is to provide a textile cloth length precision measurement system, comprising: a first acquisition module, used to obtain the first tension data and the first vibration data of the cloth to be measured within a first preset time under an ideal state, and the second tension data and the second vibration data within a second preset time under an actual state; a first determination module, using the second tension data, the second vibration data, the first tension data and the first vibration data, to determine the instantaneous change correlation and correlation degree of the second tension data and the second vibration data; a second determination module, used to determine the tension deviation value using the first tension data and the second tension data; a third determination module, using the second vibration data and the second tension data, to determine the matching degree between the second vibration data and the second tension data; a fourth determination module, using the tension deviation value and the matching degree, to determine the filtering necessity of the second tension data; a fifth determination module, using the filtering necessity of the second tension data to adjust the second tension data, determine the adjusted tension data, and then use the adjusted tension data to determine the actual length of the cloth to be measured.

[0015] The present invention has the following beneficial effects: In the present invention, by acquiring the first tension data and the first vibration data of the cloth to be tested in an ideal state and acquiring the second tension data and the second vibration data of the cloth to be tested in an actual state, the first tension data, the first vibration data, the first tension data and the first vibration data are analyzed to determine the correlation and degree of instantaneous changes of the second tension data and the second vibration data. Then, based on the first tension data and the second tension data, a tension deviation value is determined to identify and correct errors in tension measurement. In addition, the matching degree between the second vibration data and the second tension data is determined to evaluate the correlation between the two. Then, using the tension deviation value and the matching degree, it is determined whether it is necessary to filter the second tension data to improve the accuracy and reliability of the data. Based on the necessity of filtering, the second tension data is adjusted to correct inaccurate data caused by measurement errors or other factors, thereby improving the accuracy of the measurement results. Then, the tension of the cloth is adjusted by the tension device to meet the specific requirements for the tension of the cloth in the production process, thereby more accurately determining the actual length of the cloth. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1A flow chart of a method for accurately measuring the length of a textile cloth provided by an embodiment of the present invention is shown.

[0018] Figure 2 A schematic structural diagram of a textile cloth length precision measurement system provided by an embodiment is shown. DETAILED DESCRIPTION

[0019] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of a method for accurately measuring the length of a textile cloth proposed by the present invention, its specific implementation, structure, characteristics and effects, in conjunction with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0020] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0021] The specific scheme of the method for accurately measuring the length of a textile cloth provided by the present invention is described in detail below in conjunction with the accompanying drawings.

[0022] See also Figure 1 , which shows a flow chart of a method for accurately measuring the length of a textile cloth provided by an embodiment of the present invention.

[0023] like Figure 1 As shown, the method for accurately measuring the length of a textile piece comprises the following steps:

[0024] S10, obtaining first tension data and first vibration data of the tested cloth within a first preset time under an ideal state, and second tension data and second vibration data within a second preset time under an actual state.

[0025] The preset time is a certain time window, which is usually the time period for data collection and processing during the cloth pulling process. The ideal state refers to the state where the equipment is running without external interference and the performance is optimal, and the corresponding cloth tension is standard and does not need to be adjusted. The actual state refers to the state where the equipment is running and in actual production, and there are certain interferences.

[0026] Specifically, in an ideal state, the first tension data within the first preset time is obtained by the tension sensor installed on the cloth path, and at the same time, the first vibration data within the first preset time is obtained by the vibration sensor installed on the supporting structure of the device. In an actual state, the second tension data within the second preset time is obtained by the tension sensor installed on the cloth path, and at the same time, the second vibration data within the second preset time is obtained by the vibration sensor installed on the supporting structure of the device.

[0027] S20. Determine the instantaneous change correlation and correlation degree between the second tension data and the second vibration data by using the second tension data, the second vibration data, the first tension data and the first vibration data.

[0028] Among them, by determining the correlation and the degree of correlation between the instantaneous changes of the second tension data and the second vibration data, the purpose is to determine the correlation and the degree of correlation between the instantaneous changes of the two by analyzing the second tension data and the second vibration data; it helps to understand how tension and vibration affect each other and their influence on the measurement of cloth length.

[0029] S30: Determine a tension deviation value using the first tension data and the second tension data.

[0030] Among them, the tension deviation value is an indicator used to quantify the difference between the actual performance of tension data in the cloth traction system and the ideal or expected state; the larger the tension deviation value, the worse the tension performance within the second preset time, and the smaller the tension deviation value, the better the tension performance within the second preset time.

[0031] S40: Determine a matching degree between the second vibration data and the second tension data by using the second vibration data and the second tension data.

[0032] Among them, the greater the matching degree, the more the second vibration data and the second tension data are in the same frequency within the second preset time, that is, it is easier to have a larger or smaller change value of the tension due to a larger vibration at a certain moment, which further indicates that the current tension adjustment mechanism is normal, the cloth tension is appropriate at this time, and the stronger the vibration performance. However, the smaller the matching degree, the cloth tension is not appropriate at this time, and the weaker the vibration performance of the textile cloth equipment.

[0033] S50: Determine the degree of necessity of filtering the second tension data by using the tension deviation value and the matching degree.

[0034] Among them, the filtering necessity represents the filtering intensity required during the processing of the current tension data.

[0035] Specifically, if the degree of filtering necessity is large, it means that the current tension data deviates greatly from the actual performance. At this time, a lower fitting order is needed to smooth the data and remove frequent fluctuations in the data, so as to make more accurate tension adjustments. On the contrary, if the degree of filtering necessity is small, it means that the tension data is still relatively real, and a higher fitting order can be used to retain more local features and make more precise adjustments.

[0036] S60, adjusting the second tension data using the second tension data filtering necessity, determining the adjusted tension data, and further using the adjusted tension data to determine the actual length of the cloth to be measured.

[0037] The second tension data is adjusted using the second tension data filtering necessity, and determining the adjusted tension data refers to selecting an appropriate Savitzky-Golay (SG) filter order according to the second tension data filtering necessity to remove noise and interference caused by equipment vibration and friction to obtain the adjusted tension data.

[0038] Using the adjusted tension data to determine the actual length of the cloth to be tested means first comparing the adjusted tension data with the tension target value, calculating the required adjustment amount, and then adjusting the tension adjustment mechanism through an adjustment device (such as a motor or pneumatic device) to achieve the target tension value. The length of the cloth is determined by adjusting the tension, wherein the tension target value is set to a suitable tension value based on factors such as the material, width, and speed of the cloth, and the adjustment may also include changing the pressure of the traction roller or other related parameters.

[0039] In this embodiment, the second tension data and the second vibration data in the actual state and the first tension data and the first vibration data in the ideal state are analyzed to determine the instantaneous change correlation and the degree of correlation between the second tension data and the second vibration data; then, the tension deviation value is determined by analyzing the first tension data and the second tension data, and the matching degree between the second vibration data and the second tension data is determined by using the second vibration data and the second tension data to determine the necessity of filtering the second tension data; the second tension data is adjusted based on the necessity of filtering the second tension data to determine the adjusted tension data, and then the tension device is tensioned using the adjusted tension data to determine the actual length of the cloth to be measured.

[0040] In some embodiments, step S10 may include the following operations:

[0041] First, a vibration sensor is installed at the bottom of the textile fabric device to monitor the vibration of the entire device, and a tension sensor is installed near the traction roller or tension adjustment mechanism to measure the tension of the fabric;

[0042] Secondly, based on human experience, the tension of the cloth is adjusted to a level close to the appropriate parameters through the adjustment mechanism.

[0043] Finally, the first tension data and the first vibration data of the tested cloth within the first preset time under an ideal state, and the second tension data and the second vibration data within the second preset time under an actual state are obtained.

[0044] Among them, the second tension data refers to the data obtained by the tension sensor in the actual production process; the second vibration data refers to the data obtained by the vibration sensor in the actual production process. The first preset time and the second preset time can be set to one minute, and the sampling frequency can be 0.5s; when the equipment is in an ideal state, set the first preset time period, for example, the first preset time can be set to one minute, collect the real-time data of the tension sensor and the vibration sensor within the first preset time, and obtain all the first vibration data and first tension data within the first preset time. These data represent the target value that the cloth tension should reach when there is no interference and the equipment is normal. These vibration data and tension data under ideal conditions are used as indicators for judging subsequent data.

[0045] In this embodiment, the first vibration data and the first tension data of the device in an ideal state are obtained by the vibration sensor and the tension sensor, and the second vibration data and the second tension data of the device in an actual state are obtained by the vibration sensor and the tension sensor.

[0046] In some embodiments, step S20 may include the following operations:

[0047] Firstly, a first tension constant is determined using the first tension data, and then a first tension fluctuation constant is determined using the first tension constant and the first tension data.

[0048] Specifically, the first tension data is used to determine a first tension constant, wherein the first tension constant is the average value of the first tension data within a first preset time; the first tension constant and the first tension data are used to determine a first tension difference, wherein the first tension difference is defined as the difference between the first tension data and the first tension constant at each moment within the first preset time; the standard deviation of the first tension difference is obtained to determine the first tension fluctuation constant.

[0049] Among them, the tension difference is defined as the difference between the first tension data and the first tension constant; the first tension fluctuation constant is a value used to measure the "size" of the tension change. If the first tension fluctuation constant is small, it means that the first tension does not change much and is relatively stable. If the first tension fluctuation constant is large, it means that the first tension changes greatly and is not very stable; that is, the smaller the first tension fluctuation constant, the more stable the tension control of the textile cloth equipment under ideal conditions.

[0050] Secondly, a first vibration constant is determined using the first vibration data, and then a first vibration fluctuation constant is determined using the first vibration data and the first vibration constant.

[0051] Among them, the first vibration constant is the average value of all the first vibration data within the first preset time. It provides a baseline value, representing the typical vibration level of textile equipment under optimal operating conditions. A smaller first vibration fluctuation constant indicates that the vibration level is relatively stable, the system runs smoothly, and there are no large vibration fluctuations. A larger first vibration fluctuation constant indicates that there are large changes in the vibration level, and the system may have certain unstable factors, such as equipment wear, imbalance, looseness or external shock.

[0052] Specifically, the first vibration data is used to determine a first vibration constant, wherein the first vibration constant is an average value of the first vibration data within a first preset time; the first vibration difference is determined using the first vibration constant and the first vibration data, wherein the first vibration difference is defined as the difference between the first vibration data and the first vibration constant at each moment in the first preset time; the standard deviation of the first vibration difference is obtained to determine the first vibration fluctuation constant.

[0053] Next, the second tension data is used to determine a second tension constant, and then the second tension constant and the second tension data are used to determine a second tension fluctuation constant.

[0054] The second tension constant is the average value of all second tension data within the second preset time. The second tension constant represents the tension level in the actual production process; the smaller the second tension fluctuation constant is, the more stable the tension control of the system is in the actual state.

[0055] Specifically, the second tension data is used to determine the second tension constant, wherein the second tension constant is the average value of the second tension data within the second preset time; the second tension difference is determined using the second tension constant and the second tension data, wherein the second tension difference is defined as the difference between the second tension data and the second tension constant at each moment within the second preset time; the standard deviation of the second tension difference is obtained to determine the second tension fluctuation constant.

[0056] Next, the second vibration data is used to determine a second vibration constant, and then the second vibration data and the second vibration constant are used to determine a second vibration fluctuation constant.

[0057] Among them, the second vibration constant is the average value of all the second vibration data within the second preset time. The second vibration constant represents the vibration level of the textile cloth equipment in the actual production process. A smaller second vibration fluctuation constant indicates that the vibration level is relatively stable, the system runs smoothly, and there is no large vibration fluctuation. A larger second vibration fluctuation constant indicates that there is a large change in the vibration level, and the system may have certain unstable factors, such as equipment wear, imbalance, looseness or external impact.

[0058] Specifically, the second vibration data is used to determine the second vibration constant, wherein the second vibration constant is the average value of the second vibration data within the second preset time; the second vibration difference is determined using the second vibration constant and the second vibration data, wherein the second vibration difference is defined as the difference between the second vibration data and the second vibration constant at each moment within the second preset time; the standard deviation of the second vibration difference is obtained to determine the second vibration fluctuation constant.

[0059] Finally, the correlation and degree of correlation between the instantaneous changes of the second tension data and the second vibration data are determined by using the difference between the second vibration data and the first vibration constant, the difference between the second tension data and the first tension constant, the difference between the second tension fluctuation constant and the first tension fluctuation constant, and the difference between the second vibration fluctuation constant and the first vibration fluctuation constant.

[0060] The difference between the second vibration data and the first vibration constant indicates the degree to which the second vibration deviates from the ideal state. The difference between the second tension data and the first tension constant indicates the degree to which the second tension deviates from the ideal state. The difference between the second vibration fluctuation constant and the first vibration fluctuation constant is used to evaluate the deviation between the second vibration fluctuation and the expected fluctuation. The difference between the second tension fluctuation constant and the first tension fluctuation constant is used to evaluate the deviation between the second tension fluctuation and the expected fluctuation.

[0061] In addition, if the second vibration data is greater than the first vibration constant, a higher level of attention is required. If the second vibration data is greater than the first vibration constant, the initial attention weight obtained for the second vibration data is the normalized difference plus 1. If the second vibration data is equal to or less than the first vibration data, the initial attention weight is set to 1.

[0062] The tension data does not need to be adjusted, and it is abnormal whether the second tension data exceeds or is less than the first tension constant.

[0063] Specifically, the difference between the second vibration data and the first vibration constant, the difference between the second tension data and the first tension constant, the difference between the second tension fluctuation constant and the first tension fluctuation constant, and the difference between the second vibration fluctuation constant and the first vibration fluctuation constant are linearly normalized to determine the correlation and degree of correlation between the instantaneous changes of the second tension data and the second vibration data.

[0064] In this embodiment, a first vibration constant, a first vibration fluctuation constant, a first tension constant and a first tension fluctuation constant are respectively obtained based on the first vibration data and the first tension data; a second vibration fluctuation constant and a second tension fluctuation constant are respectively obtained based on the second vibration data and the second tension data; the difference between the second vibration data and the first vibration constant, the difference between the second tension data and the first tension constant, the difference between the second tension fluctuation constant and the first tension fluctuation constant, and the difference between the second vibration fluctuation constant and the first vibration fluctuation constant are respectively linearly normalized to determine the correlation and degree of correlation between the instantaneous changes of the second tension data and the second vibration data.

[0065] In some embodiments, step S30 may include the following operations:

[0066] First, using the first tension data, determine the first tension constant, wherein the first tension constant is the average value of the first tension data within the first preset time; using the first tension constant and the first tension data, determine the first tension difference, wherein the first tension difference is defined as the difference between the first tension data and the first tension constant at each moment within the first preset time; obtain the standard deviation of the first tension difference, and determine the first tension fluctuation constant.

[0067] Specifically, the first tension constant and the first tension fluctuation constant have been described in detail above and will not be repeated here.

[0068] Secondly, using the second tension data, determine the second tension constant, wherein the second tension constant is the mean of the second tension data within the second preset time; using the second tension constant and the second tension data, determine the second tension difference, wherein the second tension difference is defined as the difference between the second tension data and the second tension constant at each moment within the second preset time; obtain the standard deviation of the second tension difference to determine the second tension fluctuation constant.

[0069] Specifically, the second tension difference and the second tension fluctuation constant have been described in detail above and will not be repeated here.

[0070] Finally, the tension deviation value is determined by using the difference between the second tension fluctuation constant and the first tension fluctuation constant, and the difference between the second tension constant and the first tension constant.

[0071] Among them, the larger the tension deviation value is, the worse the corresponding tension performance within the second preset time is, and the larger the deviation between the tension adjustment effect of the corresponding tension adjustment mechanism and the actually collected second tension data is.

[0072] Specifically, the difference between the second tension fluctuation constant and the first tension fluctuation constant, and the difference between the second tension constant and the first tension constant are linearly normalized and accumulated to determine the tension deviation value.

[0073] In this embodiment, based on the second tension fluctuation constant, the first tension fluctuation constant, the second tension constant and the first tension constant, the difference between the second tension fluctuation constant and the first tension constant and the difference between the second tension constant and the first tension constant are linearly normalized and accumulated and averaged to determine the tension deviation value, so as to understand that the greater the deviation between the tension adjustment effect performed by the tension adjustment mechanism and the actual second tension data collected.

[0074] In addition, when the performance of the tension adjustment mechanism gradually deteriorates, the corresponding transmission quality of the cloth during the traction process is getting worse and worse. At this time, not only will the tension data fluctuate, but the cloth may also be uneven during traction, the surface of the cloth may not be reliable, and even slip. That is, at this time, the cloth length measured by conventional methods such as measuring the number of traction roller turns or based on laser sensors is not standard.

[0075] It is insufficient to use the performance between vibration data and tension data as the basis for filtering tension data. In view of the above problems, the traction quality of the cloth during the traction process is further analyzed below.

[0076] Obtain the first friction data of the cloth to be tested within the first preset time under an ideal state, and use the first friction data to determine the first friction fluctuation constant; use the first friction fluctuation constant, the first tension fluctuation constant and the first vibration fluctuation constant to determine the ideal transmission quality of the current cloth within the second preset time.

[0077] Among them, the first friction data in the first preset time under ideal conditions refers to the first friction data recorded under ideal conditions. These data reflect the friction characteristics of the equipment under the best operating state, without the influence of external interference or equipment failure; the ideal transmission quality is to evaluate the transmission performance of the cloth in the second preset time by combining the friction fluctuation constant, tension fluctuation constant and vibration fluctuation constant.

[0078] Further, obtaining first friction data of the tested cloth within a first preset time under an ideal state, and determining a first friction fluctuation constant using the first friction data; including:

[0079] First, first friction data at each moment within a first preset time under an ideal state is obtained, wherein the first friction data includes the magnitude of the first friction coefficient and its corresponding friction direction, and the ideal friction direction is set to be the direction opposite to the cloth transmission direction.

[0080] Secondly, the first friction coefficient is used to determine the first friction constant, wherein the first friction constant is the average value of the friction coefficient at all times within the first preset time under an ideal state.

[0081] The friction constant is calculated by averaging the friction coefficient at each moment under ideal conditions. This value represents the average friction strength of the cloth under optimal conditions.

[0082] Next, the friction weight value corresponding to the first friction coefficient at each moment within the first preset time is determined by using the first friction coefficient and the ideal friction direction.

[0083] The deviation between the direction of the friction coefficient at each moment and the ideal friction direction is the friction direction deviation at each moment. The friction direction deviation affects the effectiveness of the friction coefficient, and its weighted influence on the friction coefficient needs to be considered. In addition, the weight value of the friction coefficient is adjusted according to the deviation of the friction direction. The friction weight value represents the actual contribution of the friction coefficient in actual operation.

[0084] Specifically, the deviation angle between the first friction coefficient of the tested cloth at each moment within the first preset time and the ideal friction direction is used, and the deviation angle is linearly normalized with ninety degrees as the maximum value, and then negative correlation processing is performed to determine the friction weight value corresponding to the first friction coefficient at each moment.

[0085] The first friction coefficient, the first friction weight value and the first friction constant are used to determine the first friction fluctuation constant.

[0086] Specifically, the first friction fluctuation constant f is determined based on the first friction coefficient, the first friction weight value, the first friction constant and the following formula: 0 .

[0087]

[0088] Among them, f t Characterizes the magnitude of the first friction coefficient at the t-th moment within the preset time under ideal conditions, Characterizes the mean value of the first friction coefficient at all times within a preset time under ideal conditions. k t is a weight value obtained by the deviation between the friction direction of the first friction coefficient of the first data and the ideal friction direction. Since the first preset time and the second preset time are set to one minute, the sampling frequency can be 0.5s, and thus, the sampling moments in a corresponding preset time period are 120 moments.

[0089] When obtaining the first friction fluctuation constant of the current cloth, it is considered that when the direction of the first friction coefficient of the first friction data deviates from the ideal friction direction, the corresponding transmission direction of the cloth usually deviates. At this time, slippage or uneven cloth may occur, which may reflect abnormal cloth tension or stronger interference from equipment vibration. Therefore, the larger the deviation angle, the greater its weight value.

[0090] That is, the ideal transmission quality of the cloth is determined by the first friction fluctuation constant, the first tension fluctuation constant and the first vibration fluctuation constant, so that the transmission performance of the cloth within the preset time can be fully understood; the size and direction of the first friction coefficient under the ideal state are comprehensively analyzed, the first friction constant and the friction weight value are calculated, and finally the first friction fluctuation constant is obtained. This method not only takes into account the intensity of friction, but also the directionality of friction, thus providing a more comprehensive evaluation of friction performance. This comprehensive evaluation not only improves the accuracy of friction evaluation, but also helps to optimize the transmission quality of cloth, improve equipment efficiency, support real-time monitoring and maintenance, improve quality control, and ultimately improve production stability.

[0091] Furthermore, it also includes: first, obtaining the central friction data point and its corresponding friction direction at any time within the second preset time, as well as the ideal friction direction.

[0092] Among them, the central friction data point represents the second tension data at any time within the second preset time; the ideal friction direction is the direction opposite to the cloth transmission direction; and the friction data is collected by a friction sensor installed near the traction roller or the cloth contact point.

[0093] Specifically, the friction sensor is installed near the traction roller or the contact point of the cloth to monitor whether the cloth slips. The friction coefficient obtained by the friction sensor is a vector, that is, the friction coefficient collected at each moment has a direction.

[0094] Secondly, the friction direction of the central friction data point and the ideal friction direction are used to determine the deviation angle between the friction direction of the central friction data point and the ideal friction direction; the cosine formula is used to normalize the deviation angle between the friction direction of the central friction data point and the ideal friction direction to determine the actual friction deviation factor.

[0095] Among them, if the actual friction deviation factor is larger, the actual friction direction deviates more from the ideal direction at this time, and the cloth traction quality at the current moment is worse.

[0096] That is, by obtaining the central friction data point and its corresponding friction direction at any time within the second preset time, as well as the ideal friction direction, the deviation angle between the friction direction of the central friction data point and the ideal friction direction is determined, and then the actual friction deviation factor is determined to judge the traction quality of the cloth.

[0097] Furthermore, firstly, the friction data points and their respective friction directions at two moments before and after the central friction data point are obtained.

[0098] Secondly, the local friction deviation factor is determined by using the friction direction deviation of the friction data points at two moments before and after the central friction data point and the friction direction of the central friction data point.

[0099] Among them, the local friction deviation factor indicates the change in friction direction near the current time point. It reflects the comprehensive situation of the friction direction deviation between the central data point and the previous and next data points. When the local friction deviation factor is high, it means that the change in friction direction is large. This usually means that the cloth is subject to significant friction fluctuations at that moment.

[0100] Specifically, the friction direction of the friction data points at two moments before and after the central friction data point is accumulated and linearly normalized to determine the local friction deviation factor.

[0101] Next, the maximum friction direction deviation between any two of the five friction data points at the moment is obtained to determine the friction deviation range.

[0102] Among them, the local friction deviation range is a standardized value obtained by calculating the maximum value and normalizing the direction deviation of the friction data points at five moments. A larger local friction deviation range indicates that the friction direction has a large fluctuation in the local time. This indicates that the friction performance of the cloth may be relatively unstable.

[0103] Finally, the friction deviation evaluation value of the central friction data point is determined using the local friction deviation factor and the local friction deviation range.

[0104] Among them, the friction deviation evaluation value is an indicator used to quantify the deviation of the friction performance during the cloth pulling process from the expected state. It helps analyze whether there is slippage, uneven tension or other quality problems in the cloth pulling process.

[0105] Specifically, the friction deviation evaluation value P of the central friction data point is determined based on the local friction deviation factor, the local friction deviation range and the following formula:

[0106] P=p×Δp max

[0107] Where P represents the friction deviation evaluation value of the current central friction data point, p represents the local friction deviation factor, Δp max Characterizes the maximum local friction deviation range value.

[0108] Among them, the local friction deviation factor and the local friction deviation range both represent whether the friction performance changes greatly within the local time of the current friction data point. If the change is large, the tension adjustment effect of the cloth is worse at the corresponding current moment, and the cloth becomes loose, the surface is uneven, or even slips. At this moment, the corresponding tension data is relatively more important when conducting correlation evaluation with the vibration data.

[0109] Furthermore, the friction deviation evaluation value of each friction data point within the second preset time is first obtained to construct a friction deviation evaluation value sequence.

[0110] The horizontal axis of the friction data point sequence is the time series, and the vertical axis is the friction deviation evaluation value corresponding to the time. The friction deviation evaluation value is associated with time to form time series data, which is convenient for subsequent analysis of the change trend of friction deviation.

[0111] Secondly, the friction deviation evaluation value sequence is used to obtain the principal component direction of the friction deviation evaluation value sequence.

[0112] Among them, the principal component direction of the friction deviation evaluation value sequence is the direction in the sequence that can best explain the change in friction deviation; the main change trend of the friction deviation evaluation value sequence is identified to quantify the overall trend of friction deviation.

[0113] Specifically, a principal component analysis (PCA) is performed on the friction deviation evaluation value sequence to obtain the principal component direction of the friction deviation evaluation value sequence, wherein the principal component direction of the current friction deviation evaluation value sequence is obtained through principal component analysis (PCA).

[0114] Next, the absolute value of the principal component direction slope of the friction deviation evaluation value sequence is obtained to determine the friction deviation trend.

[0115] The absolute value of the slope indicates the rate of change of the principal component direction. The absolute value of the slope can quantify the speed of friction deviation change and help understand the growth or decrease trend of friction deviation.

[0116] Specifically, the absolute value of the slope of the principal component direction is used and normalized to determine the friction deviation trend.

[0117] Next, the principal component direction of each friction data point and its friction deviation evaluation value sequence is used to determine the difference in the principal component direction of each friction data point and its friction deviation evaluation value sequence, and the difference is accumulated and normalized to determine the normalized value of each friction data point.

[0118] The difference between each friction data point and the principal component direction is calculated, accumulated and normalized. This process generates a normalized value for each friction data point. The deviation of the friction data point is quantified into a standardized value for further comparison and analysis.

[0119] Finally, the normalized value of each friction data point is multiplied by its principal component direction and normalized again to determine the friction deviation growth trend in the current interval.

[0120] Specifically, the normalized value of each friction data point is multiplied by the principal component direction and normalized again to obtain the friction deviation growth trend in the current interval. By combining the normalized value of each data point and the principal component direction, a comprehensive index is obtained to reflect the growth trend of the friction deviation.

[0121] That is, by systematically processing friction data points and applying principal component analysis and normalization techniques, an accurate analysis of the friction deviation change trend is achieved. Constructing a sequence of friction data points and analyzing the principal component direction effectively reveals the main change trend of friction deviation. By calculating the friction deviation trend and normalized value, the cloth transmission system can be optimized to improve production stability and quality. The overall method has significant application value in real-time monitoring and adjusting the friction performance during cloth transmission.

[0122] In some embodiments, step S40 may include the following operations:

[0123] First, the friction direction and the ideal friction direction of the second tension data are obtained, and the friction deviation evaluation value of the second tension data is determined, wherein the ideal friction direction is the direction opposite to the cloth transmission direction.

[0124] Specifically, obtaining the friction direction and the ideal friction direction of the second tension data and determining the friction deviation evaluation value of the second tension data have been described in detail above and will not be repeated here.

[0125] Secondly, the shortest matching path is determined using the second vibration data and the second tension data, wherein the length of the shortest matching path is the distance between the matching points.

[0126] Specifically, the second vibration data and the second tension data are respectively constructed using the second vibration data sequence and the second tension data sequence, and a distance matrix is ​​established to store the distances between corresponding points in the second vibration data sequence and the second tension data sequence; the distance matrix is ​​used to determine the shortest matching path, which represents the best matching relationship between the second vibration data and the second tension data within a second preset time.

[0127] Obtaining weight values ​​of the second vibration data and the second tension data;

[0128] Specifically, linear normalization processing is performed using the difference between the second vibration data and the first vibration constant to determine the weight value of the second vibration data at each moment. Similarly, linear normalization processing is performed using the difference between the second tension data and the first tension constant to determine the weight value of the second tension data at each moment.

[0129] Finally, the degree of matching between the second vibration data and the second tension data is determined using the friction deviation evaluation value, the distance of the matching point, the weight value of the second tension data, and the weight value of the second vibration data.

[0130] Specifically, the matching degree D between the second tension data and the second vibration is determined based on the friction deviation evaluation value of the tension data at each moment, the distance of the matching point of the tension data at each moment, the weight value of the second vibration data, the weight value of the second tension data and the following formula.

[0131]

[0132] Where, d j represents the distance of the jth group of matching points; k zj represents the weight value of the second vibration data corresponding to the j-th group of matching points; D represents the matching degree between the second vibration data and the second tension data of the j-th group of matching points; k lj P represents the weight value of the second tension data corresponding to the jth group of matching points. lj It is the friction deviation evaluation value at the moment corresponding to the tension data in the jth group of matching points. The larger the evaluation value is, the worse the current traction quality is. In order to prevent the denominator from being 0, 0.01 is added for adjustment.

[0133] Among them, the larger the weight value of the second vibration data or the weight value of the second tension data, the more prominent the data performance corresponding to the current set of matching points at a certain moment. For example, the second vibration data and the second vibration constant are relatively strong or the second tension data and the first tension constant have a larger deviation. The corresponding set of matching points needs to increase its weight ratio when participating in the distance measurement. However, because the actual distance of the matching points is relatively larger after the attention weight is increased, the corresponding matching degree obtained after the derivation is relatively smaller, so the matching degree through the second tension data is obtained by accumulating the distance and then calculating the inverse as the matching degree. Therefore, here, after the attention weight is increased, the actual distance of the matching points is relatively larger, and the corresponding matching degree obtained after the derivation is relatively smaller.

[0134] The greater the corresponding matching degree, the more the vibration data and tension data are in the same frequency within this range, that is, it is easier to see that the tension is larger or smaller due to the larger vibration at a certain moment. The greater the change value, the more it indicates that the current tension adjustment mechanism is still normal, the cloth tension is appropriate at this time, and the stronger the vibration performance. However, the smaller the matching degree, the less the cloth tension is, and the weaker the vibration performance is.

[0135] In this embodiment, the matching degree of the actual tension data is determined based on the friction deviation evaluation value of the tension data at each moment, the distance of the matching point of the tension data at each moment, the weight value of the second tension data, and the weight value of the second vibration data, and then it is judged whether the second vibration data and the second tension data are relatively more in the same frequency, and whether it is more likely to appear at a certain moment that the corresponding tension change value is larger due to the larger vibration, or whether it indicates that the tension of the cloth is no longer suitable at this time and the performance is weaker due to the vibration of the equipment.

[0136] In some embodiments, step S50 may include the following operations:

[0137] In this embodiment, the tension deviation value and the matching degree are equally weighted added to determine the degree of filtering necessity of the second tension data.

[0138] The degree of filtering necessity represents the filtering intensity required during the processing of the second tension data.

[0139] Specifically, if the degree of filtering necessity is large, it means that the second tension data deviates greatly from the actual performance required. At this time, a lower fitting order is needed to smooth the data and remove frequent fluctuations in the data, so as to make more accurate tension adjustment. On the contrary, if the degree of filtering necessity is small, it means that the second tension data is still relatively real, and a higher fitting order can be used to retain more local features and make more precise adjustments.

[0140] In some embodiments, step S60 may include the following operations:

[0141] First, the filtering fitting order of the second tension data is adaptively adjusted using the second tension data filtering necessity degree to obtain the adjusted tension data.

[0142] The degree of filtering necessity represents the filtering intensity required during the processing of the second tension data.

[0143] Specifically, if the degree of filtering necessity is large, it means that the second tension data deviates greatly from the actual performance required. At this time, a lower fitting order is needed to smooth the data and remove frequent fluctuations in the data, so as to make more accurate tension adjustment. On the contrary, if the degree of filtering necessity is small, it means that the second tension data is still relatively real, and a higher fitting order can be used to retain more local features and make more precise adjustments.

[0144] Secondly, the tension target value is obtained, and the tension adjustment amount is determined using the adjusted tension data and the tension target value.

[0145] Among them, the tension target value is to set a suitable tension value based on factors such as cloth material, width, speed, etc.

[0146] Finally, the tension adjustment mechanism is adjusted using the tension adjustment amount to determine the current tension data, thereby determining the actual length of the measured cloth.

[0147] The actual length of the cloth may be calculated using the following example, or other examples may be used as long as the calculation of the cloth length can be achieved.

[0148] The actual length of the cloth is calculated, for example, by installing a rotary encoder on the traction roller, which is able to detect the number of rotations and speed of the traction roller. The encoder is usually connected to the control system for real-time monitoring. Make sure that the circumference of the traction roller is known and accurately measured. This is a key parameter for calculating the length of the cloth. Measuring the number of rotations: When the cloth passes through the traction roller, the traction roller rotates. The encoder records the number of rotations of the traction roller. Calculating the length of the cloth: The length of the cloth is calculated using the following formula:

[0149] Cloth length = circumference of traction roller × number of rotations

[0150] The circumference of the traction roller is fixed and the number of rotations is provided by an encoder.

[0151] In addition, if the pulling speed of the cloth is not constant, the changes in speed and acceleration need to be considered. In this case, the length can be calculated by the following methods: 1. Integrate the change of speed over time using the integration method to obtain the displacement of the cloth and thus calculate the length. 2. Use the accumulation method to calculate the total length by accumulating the displacement in a short time interval when the speed changes.

[0152] In this embodiment, based on the necessity of filtering the second tension data, the adjusted tension data and the tension target value are obtained, and the tension adjustment amount is determined by the adjusted tension data and the tension target value to adjust the tension adjustment mechanism to determine the current tension data, thereby determining the actual length of the measured cloth.

[0153] like Figure 2As shown, the present invention also provides a textile cloth length precision measurement system 200, comprising: a first acquisition module 210, used to obtain the first tension data and the first vibration data of the cloth to be measured within the first preset time under an ideal state, and the second tension data and the second vibration data within the second preset time under an actual state; a first determination module 220, using the second tension data, the second vibration data, the first tension data and the first vibration data, to determine the instantaneous change correlation and correlation degree between the second tension data and the second vibration data; a second determination module 230, used to determine the tension deviation value using the first tension data and the second tension data; a third determination module 240, using the second vibration data and the second tension data, to determine the matching degree between the second vibration data and the second tension data; a fourth determination module 250, using the tension deviation value and the matching degree, to determine the filtering necessity of the second tension data; a fifth determination module 260, using the filtering necessity of the second tension data to adjust the second tension data, determine the adjusted tension data, and then use the adjusted tension data to determine the actual length of the cloth to be measured.

[0154] It should be noted that the sequence of the above embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0155] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. A method for accurately measuring the length of a textile cloth, characterized in that: The method comprises: Acquire first tension data and first vibration data of the tested cloth within a first preset time under an ideal state, and second tension data and second vibration data within a second preset time under an actual state; Determine the instantaneous change correlation and correlation degree of the second tension data and the second vibration data by using the second tension data, the second vibration data, the first tension data and the first vibration data; Determine a tension deviation value using the first tension data and the second tension data; Determining a degree of matching between the second vibration data and the second tension data using the second vibration data and the second tension data; Determining the degree of necessity of filtering the second tension data by using the tension deviation value and the matching degree; The second tension data is adjusted using the second tension data filtering necessity to determine the adjusted tension data, and then the adjusted tension data is used to determine the actual length of the cloth to be measured.

2. The method for accurately measuring the length of textile cloth according to claim 1, characterized in that: Determining the instantaneous change correlation and correlation degree of the second tension data and the second vibration data by using the second tension data, the second vibration data, the first tension data and the first vibration data; comprising: Determine a first tension constant using the first tension data, and further determine a first tension fluctuation constant using the first tension constant and the first tension data; Determine a first vibration constant using the first vibration data, and further determine a first vibration fluctuation constant using the first vibration data and the first vibration constant; using the second tension data to determine a second tension constant, and further using the second tension constant and the second tension data to determine a second tension fluctuation constant; using the second vibration data to determine a second vibration constant, and further using the second vibration data and the second vibration constant to determine a second vibration fluctuation constant; The correlation and degree of correlation between the instantaneous changes of the second tension data and the second vibration data are determined by using the difference between the second vibration data and the first vibration constant, the difference between the second tension data and the first tension constant, the difference between the second tension fluctuation constant and the first tension fluctuation constant, and the difference between the second vibration fluctuation constant and the first vibration fluctuation constant.

3. The method for accurately measuring the length of textile cloth according to claim 2, characterized in that: Determining a first tension constant by using the first tension data, and then determining a first tension fluctuation constant by using the first tension constant and the first tension data; comprising: Determine a first tension constant using the first tension data, wherein the first tension constant is an average value of the first tension data within a first preset time; Determine a first tension difference by using the first tension constant and the first tension data, wherein the first tension difference is defined as a difference between the first tension data and the first tension constant at each moment within a first preset time; Obtaining a standard deviation of the first tension difference and determining a first tension fluctuation constant; Determining a first vibration constant by using the first vibration data, and then determining a first vibration fluctuation constant by using the first vibration data and the first vibration constant; comprising: Determine a first vibration constant using the first vibration data, wherein the first vibration constant is an average value of the first vibration data within a first preset time; Determine a first vibration difference using the first vibration constant and the first vibration data, wherein the first vibration difference is defined as a difference between the first vibration data and the first vibration constant at each moment within a first preset time; The standard deviation of the first vibration difference is obtained to determine a first vibration fluctuation constant.

4. The method for accurately measuring the length of textile cloth according to claim 2, characterized in that: Determining a second tension constant by using the second tension data, and then determining a second tension fluctuation constant by using the second tension constant and the second tension data; comprising: Determine a second tension constant using the second tension data, wherein the second tension constant is an average value of the second tension data within a second preset time; Determine a second tension difference by using the second tension constant and the second tension data, wherein the second tension difference is defined as a difference between the second tension data and the second tension constant at each moment within a second preset time; Obtaining the standard deviation of the second tension difference and determining the second tension fluctuation constant; Determining a second vibration constant by using the second vibration data, and then determining a second vibration fluctuation constant by using the second vibration data and the second vibration constant; comprising: Determine a second vibration constant using the second vibration data, wherein the second vibration constant is an average value of the second vibration data within a second preset time; Determine a second vibration difference using the second vibration constant and the second vibration data, wherein the second vibration difference is defined as a difference between the second vibration data and the second vibration constant at each moment within a second preset time; The standard deviation of the second vibration difference is obtained to determine a second vibration fluctuation constant.

5. The method for accurately measuring the length of a textile piece according to claim 1, characterized in that: Determining a tension deviation value using the first tension data and the second tension data; comprising: Determine a first tension constant using the first tension data, wherein the first tension constant is an average value of the first tension data within a first preset time; Determine a first tension difference by using the first tension constant and the first tension data, wherein the first tension difference is defined as a difference between the first tension data and the first tension constant at each moment within a first preset time; Obtaining a standard deviation of the first tension difference and determining a first tension fluctuation constant; Determine a second tension constant using the second tension data, wherein the second tension constant is an average value of the second tension data within a second preset time; Determine a second tension difference by using the second tension constant and the second tension data, wherein the second tension difference is defined as a difference between the second tension data and the second tension constant at each moment within a second preset time; Obtaining the standard deviation of the second tension difference and determining the second tension fluctuation constant; A tension deviation value is determined using a difference between the second tension fluctuation constant and the first tension fluctuation constant, and a difference between the second tension constant and the first tension constant.

6. The method for accurately measuring the length of textile cloth according to claim 1, characterized in that: Determining the matching degree between the second vibration data and the second tension data using the second vibration data and the second tension data; comprising: Obtaining the friction direction and the ideal friction direction of the second tension data, and determining the friction deviation evaluation value of the second tension data, wherein the ideal friction direction is the direction opposite to the cloth transmission direction; Determine a shortest matching path using the second vibration data and the second tension data, wherein the length of the shortest matching path is the distance between matching points; Obtaining a weight value of the second vibration data and a weight value of the second tension data; The matching degree of the second tension data is determined by using the friction deviation evaluation value, the distance of the matching point, the weight value of the second vibration data and the weight value of the second tension data.

7. The method for accurately measuring the length of textile cloth according to claim 1, characterized in that: Obtaining the friction direction and the ideal friction direction of the second tension data, and determining the friction deviation evaluation value of the second tension data, wherein the ideal friction direction is the direction opposite to the cloth transmission direction; comprising: Obtaining friction data points and respective friction directions at two moments before and after a central friction data point, wherein the central friction data point is second tension data at a certain moment within a second preset time; Determine the local friction deviation factor by using the friction direction of the friction data points at two moments before and after the central friction data point and the friction direction deviation of the central friction data point; Obtain the maximum friction direction deviation between any two of the five friction data points at each moment, and determine the friction deviation range; The friction deviation evaluation value of the central friction data point is determined using the local friction deviation factor and the local friction deviation range.

8. The method for accurately measuring the length of a textile piece according to claim 1, characterized in that: Determining the degree of filtering necessity of the second tension data by using the tension deviation value and the matching degree; comprising: The tension deviation value and the matching degree are equally weighted added to determine the degree of filtering necessity of the second tension data.

9. The method for accurately measuring the length of a textile cloth according to claim 1, characterized in that: The second tension data is adjusted using the second tension data filtering necessity, the adjusted tension data is determined, and then the adjusted tension data is used to determine the actual length of the cloth to be measured; include: Adapting the filter fitting order of the second tension data according to the filtering necessity degree of the second tension data to obtain adjusted tension data; Obtaining a tension target value, and determining a tension adjustment amount using the adjusted tension data and the tension target value; The tension adjustment mechanism is adjusted using the tension adjustment amount to determine the current tension data, thereby determining the actual length of the measured cloth.

10. A textile cloth length precision measuring system, characterized in that: include: A first acquisition module is used to acquire first tension data and first vibration data of the tested cloth within a first preset time under an ideal state, and second tension data and second vibration data within a second preset time under an actual state; A first determination module determines the instantaneous change correlation and correlation degree of the second tension data and the second vibration data by using the second tension data, the second vibration data, the first tension data and the first vibration data; A second determination module, configured to determine a tension deviation value using the first tension data and the second tension data; a third determination module, using the second vibration data and the second tension data, to determine a matching degree between the second vibration data and the second tension data; A fourth determination module, using the tension deviation value and the matching degree, determines the degree of necessity of filtering the second tension data; The fifth determination module adjusts the second tension data using the second tension data filtering necessity, determines the adjusted tension data, and further uses the adjusted tension data to determine the actual length of the cloth to be measured.

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