A method for optimizing the tentering speed and process parameters in coordination

Abstract

The present application relates to the technical field of fabric tentering treatment, in particular to a tentering setting speed and process parameter collaborative optimization method, which generates a set of available speeds according to the information of cloth humidity and cloth edge stress, compares the time sequence of temperature control and speed change to identify the response lag characteristics, filters the speed section with consistent direction and stable convergence in combination with the weft and warp offset data, removes the fluctuation concentrated items based on the transverse extension trend and tension distribution, and retains the stable running section, and grades the process collaborative state according to the consistency of the multi-parameter change trend. The present application enhances the state response sensitivity by constructing a multi-factor driven speed screening mechanism, captures the control lag through time sequence comparison, limits the running stability in combination with the offset trend and tension distribution analysis, guides the state to balance and converge, realizes the process collaborative grading relying on the regulation rhythm consistency identification, improves the complex working condition adaptability and decision support, and avoids the implicit instability risk.

Description

Technical Field

[0001] This invention relates to the field of fabric stretching technology, and in particular to a method for synergistic optimization of stretching and setting speed and process parameters. Background Technology

[0002] The field of fabric stretching technology encompasses the mechanical stretching and setting of fabrics during finishing processes. The core of this technology lies in applying longitudinal or transverse tension to the fabric to achieve dimensional stability and uniform shape within a specific temperature and humidity environment. This is commonly used in the finishing processes of knitted, woven, and nonwoven fabrics. Fabric stretching is typically accomplished using a setting machine, and the process includes steps such as fabric feeding, stretching, heating, cooling, and fabric unloading. During this process, speed control, tension adjustment, and temperature management are key factors affecting the quality and efficiency of fabric finishing. Technological development in this field mainly focuses on optimizing process parameters, automating processing procedures, and energy conservation, and it is widely applied in large-scale production within the textile printing and dyeing industry.

[0003] One method for coordinating the optimization of stenter speed and process parameters refers to a method to improve the consistency of fabric setting by coordinating the control of speed parameters and key process control parameters during the stenter process. It mainly covers the coordinated control methods between stenter operating speed and parameters such as heat setting temperature, tension value, and overfeed ratio. The specific methods include setting multiple representative process parameter combinations, establishing a functional mapping relationship between speed and process parameters based on experimental data analysis, formulating a coordinating control strategy based on this relationship, and selecting the optimal speed and parameter matching combination through a calculation model. Generally, this is accomplished by process data modeling, parameter relationship regression analysis, and interpolation calculation.

[0004] Existing technologies rely mainly on static combination settings for the linkage control of speed and process parameters, lacking the ability to dynamically analyze the linkage characteristics of real-time data. When there are short-term inconsistencies in the stress state of the fabric, humidity fluctuations, or thermal control rhythm, it is difficult to identify response delay problems during operation. Although the parameter settings satisfy the functional relationship, they do not have process adaptability and cannot reflect subtle deviations in the control rhythm. At the same time, no targeted constraint model is built for the offset trend and tension distribution. In some operating stages, there may be hidden dangers such as fabric deformation expansion or tension concentration accumulation, which cannot support the stable operation requirements under multiple working conditions and affect the uniformity of fabric appearance and the reliability of process control. Summary of the Invention

[0005] To address the technical problems existing in the prior art, embodiments of the present invention provide a method for synergistic optimization of tenter stretching and shaping speed and process parameters. The technical solution is as follows: A method for synergistic optimization of tensioning and setting speed and process parameters includes the following steps: S1: Obtain the fabric infeed humidity value and tension status, combine the weave identification with humidity zone and temperature control code, generate combined information based on tension and structure to map initial speed labels, and filter by multi-condition lookup configuration table to generate a set of available speed numbers. S2: Based on each speed number in the available speed number set, call the thermal control response time sequence, compare the temperature control heating and speed adjustment time points, determine whether the temperature control change lags behind the speed change and exceeds the threshold, determine it as a response delay type, organize the associated thermal control area numbers, and generate a response delay temperature control number group. S3: Based on the speed number associated in the response delay temperature control number group, call the continuous records of latitudinal and longitudinal offsets, determine the consistency of the offset direction of adjacent points, check whether the offset change shows a convergence trend, filter the speed numbers that meet the conditions, and form a list of convergence trend segment numbers. S4: Call the speed number in the convergence trend segment number list, determine the direction of change of adjacent positions of each measuring point to identify the lateral reversal trend, observe the tension distribution characteristics of the fabric edge and the fabric, identify the area of ​​concentrated fluctuation, remove the speed number of concentrated tension fluctuation, and generate a stable operation segment number list.

[0006] As a further embodiment of the present invention, the available velocity number set includes humidity zoning code, tissue structure category label, and initial velocity type identifier; the response delay temperature control number group includes delay judgment label, timeout comparison result, and associated thermal control area code; the convergence trend segment number list includes latitudinal offset trend index, longitudinal offset consistency identifier, and stability assessment label; and the stable operation segment number list includes lateral extension change sequence characteristics, tension distribution area label, and velocity number retention identifier.

[0007] As a further aspect of the present invention, the step of obtaining S1 is as follows: S101: Obtain the humidity detection output value of the fabric feed section and the stress state of the fabric edge recorded by the tension device. Combined with the current fabric structure identifier, perform interval judgment on the humidity detection output value and the preset humidity zone boundary value to complete the confirmation of the humidity zone correspondence. Record the temperature control zone code corresponding to the humidity zone and generate the humidity zone code identifier. S102: Based on the humidity zone code identifier, call the selvage stress state and fabric structure identifier, perform a combination judgment on the selvage stress state value and structure code, compare the combination item with the mapping record in the heat treatment mapping table one by one, determine the speed category item that is consistent with the current combination condition, and extract the corresponding speed number set to obtain the initial speed number set. S103: Based on the initial speed number set, call the humidity segment code value and fabric structure classification information, perform consistency judgment on the humidity code and structure classification field associated with each speed number in the speed control configuration table, eliminate mismatched records, retain speed number entries that meet all conditions, and generate a set of usable speed numbers.

[0008] As a further aspect of the present invention, the step of obtaining S2 is as follows: S201: Based on each speed number in the available speed number set, call the corresponding temperature control response time sequence in the thermal control record data, extract the heating start time point and speed adjustment start time point associated with each number, perform a sequence judgment on the two time points, identify whether the heating occurs after the speed adjustment, and generate a time sequence comparison table. S202: According to the time sequence reference table, call the set response time threshold, determine whether the time difference corresponding to each number exceeds the threshold limit, screen out the numbers that are lagging in heating and exceed the limit, and summarize the speed numbers that meet the conditions according to the judgment results to obtain the delay speed number set. S203: For each number in the delay speed number set, extract the corresponding thermal control area number, merge the corresponding data according to the mapping relationship between the number and the area, and perform deduplication on the result to generate a response delay temperature control number group.

[0009] As a further aspect of the present invention, the step of obtaining S3 is as follows: S301: Based on the speed number associated in the response delay temperature control number group, obtain the weft offset data and warp offset data indexed by speed number in the fabric width detection equipment and the shaping outlet length recording unit, extract the continuous records arranged in time order under the same speed number, and for any two adjacent time points, determine whether the direction of the value change is consistent. Collect the time period numbers that simultaneously have the characteristic of consistent weft and warp offset directions to generate a set of consistent direction numbers. S302: Call the offset value sequence corresponding to the number listed in the direction consistent number set, calculate the continuously changing difference based on the offset value of adjacent time points, and determine whether the difference continues to decrease within the set convergence amplitude threshold. If the absolute value of the difference at three consecutive time points decreases successively, the corresponding number is listed as a segment with a stable convergence trend, and a stable direction number group is generated. S303: Based on the numbers listed in the stable direction numbering group, extract the velocity numbers that simultaneously satisfy the consistency of the offset direction and the stability of the convergence trend, summarize them to form a set of valid numbers with continuous convergence characteristics, and generate a list of convergence trend segment numbers.

[0010] As a further aspect of the present invention, the step of obtaining S4 is as follows: S401: Call the speed numbers listed in the convergence trend segment number list, index the lateral extension direction data of each measuring point from the edge to the middle of the fabric recorded by the tension monitoring device, extract the extension direction change trend sequence corresponding to each speed number, compare the direction changes between adjacent measuring points in the order of the measuring points, determine whether there is a situation where one direction is switched to the opposite direction, count the number of direction reversals corresponding to each number, and generate the extension reversal frequency distribution. S402: Based on the speed number involved in the extended reversal frequency distribution, extract the corresponding selvage tension record and in-fabric tension record, obtain the tension value of each measuring point, group them according to the lateral position of the fabric width, calculate the standard deviation of the tension value in each group, determine whether the fluctuation degree is concentrated in the selvage or in-fabric area, record the speed number of the concentrated fluctuation phenomenon, and generate a lateral tension fluctuation partition. S403: Based on the speed numbers in the lateral tension fluctuation partition and extension reversal frequency distribution, remove the numbers where tension fluctuations have occurred, retain the remaining unmarked numbers, organize the speed numbers that have lateral extension change stability and tension distribution balance, and generate a stable operating segment number list.

[0011] As a further aspect of the present invention, the method further includes: S5: Call the speed number listed in the stable operation segment number list, extract the records of tension, hot zone temperature control, feed speed and running speed changes, compare the change direction and response rhythm in the adjustment process, distinguish the degree of trend consistency and complete the coordination status mark, and generate a speed process coordination classification list. The speed process coordination classification list includes coordination level classification, trend change consistency index, and response rhythm matching label.

[0012] As a further aspect of the present invention, the step of obtaining S5 is as follows: S501: Call the speed numbers listed in the stable operation segment number list, extract the tension record, hot zone temperature control record, feeding speed record and running speed record corresponding to each number, arrange the parameters according to the time order, obtain the direction of numerical change at continuous time points, construct three sets of correspondences according to a single speed number: tension and temperature control, tension and feeding speed, and tension and running speed, determine whether the change direction of each set is consistent, and generate direction pairing statistical results; S502: Based on the pairing of each speed number in the direction pairing statistics, calculate the percentage of time points in which the three groups of directions are consistent throughout the entire time period, and compare it with the set reference value for the percentage of consistent directions. If the percentage is not lower than the reference value, it is marked as highly coordinated; if only two groups of directions are consistent, it is marked as moderately coordinated; if only one group or no consistent direction is present, it is marked as lowly coordinated. Generate a coordinated grouping identification result. S503: Based on the speed number and corresponding label in the coordination group identification results, classify and collect each number according to the coordination status, establish a corresponding record between the status label and the speed number, organize and form a complete hierarchical correspondence, and generate a speed process coordination hierarchical list.

[0013] As a further aspect of the present invention, the process of obtaining the direction of numerical change at consecutive time points is as follows: The tension record, the hot zone temperature control record, the feeding speed record, and the running speed record are compared in chronological order. The corresponding direction of change is determined based on the increase or decrease relationship of the data before and after, and the time alignment of the direction of change of each parameter under the same speed number is maintained. The process for determining whether the direction of change in each group is consistent is as follows: At the same time point, the changes in tension and temperature control, tension and feeding speed, and tension and running speed are compared respectively. Only when the direction determination results are the same and there is no missing direction, it is recorded as consistent. Otherwise, it is recorded as inconsistent, and the direction pairing statistics are formed.

[0014] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following: In this invention, a speed screening mechanism driven by humidity coding, tension distribution, and fabric type is constructed to enhance the responsiveness of speed control to fabric state differences. By using a two-way comparison of thermal control and speed adjustment timing, control lag in the operating rhythm is captured. Combined with dynamic analysis of offset trends and tension spatial distribution, the speed number is limited to exhibiting continuity and stability characteristics at both temporal and spatial levels, guiding the operating state towards multi-factor equilibrium. Based on the hierarchical identification of the consistency of the control rhythm, the hierarchical quantification of the synergistic relationship between speed and process behavior is achieved, improving the adaptability of the operating strategy to state changes, strengthening the clarity of control and the support for process decision-making under complex working conditions, and avoiding the interference risk of hidden unstable operating states. Attached Figure Description

[0015] Figure 1 This is a flowchart of the method of the present invention; Figure 2 This is a flowchart illustrating the process of obtaining the available speed number set for this invention. Figure 3 This is a flowchart illustrating the process of obtaining the response delay temperature control number group of the present invention; Figure 4 This is a flowchart illustrating the process of obtaining the list of convergence trend segment numbers in this invention. Figure 5 This is a flowchart illustrating the process of obtaining the stable operation segment number list of the present invention. Figure 6 This is a flowchart illustrating the process for obtaining the speed-process collaborative classification list of the present invention. Detailed Implementation

[0016] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0017] In embodiments of the present invention, words such as "exemplarily," "for example," etc., are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present the concept in a concrete manner. Furthermore, in embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one.

[0018] In the embodiments of this invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning. Similarly, the terms "of," "corresponding (relevant)," and "corresponding" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning.

[0019] In this embodiment of the invention, sometimes a subscript such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meaning they express is the same.

[0020] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0021] Please see Figure 1 This invention provides a technical solution: a method for synergistic optimization of tenter frame setting speed and process parameters, comprising the following steps: S1: Obtain the humidity detection output value of the fabric entry section and the selvage stress state recorded by the tension device. Combine the current fabric structure identifier with the humidity detection results to complete the interval matching in the preset humidity zone, locate the corresponding temperature control zone code, generate combined information based on the selvage stress state and structure code, complete the matching and positioning in the set heat treatment mapping table, clarify the corresponding initial speed category label, and use the humidity code, speed number and structure classification information as combination conditions to check the set speed control configuration table for matching and filtering to generate a set of available speed numbers. S2: Based on each speed number in the available speed number set, call the temperature control response time sequence corresponding to the speed number in the thermal control record data, extract the time point when the temperature control starts to rise and the time point when the corresponding speed starts to adjust, compare each pair of time points in sequence, and determine whether the temperature control change occurs before or after the speed change. If the temperature control change lags behind the speed change and exceeds the set response time threshold, it is determined to be a response delay type. Organize the thermal control area numbers associated with all speed numbers that meet the delay characteristics to generate a response delay temperature control number group. S3: Based on the speed number associated in the response delay temperature control number group, call the weft offset data and warp offset data indexed by speed number in the fabric width detection equipment and the shaping outlet length recording unit, extract the continuous records arranged in time order under the same speed number, perform consistency judgment on the offset direction of adjacent time points, analyze whether there is a situation where the same change direction is maintained in a continuous period of time, check whether the change of offset value continues to approach the record value of the previous time point, filter out the speed numbers that simultaneously satisfy the direction consistency and convergence trend stability, and form a list of convergence trend segment numbers; S4: Call the speed numbers listed in the convergence trend segment number list, index the lateral extension direction data of each measuring point from the edge to the middle of the fabric recorded by the tension monitoring device, extract the extension direction change trend sequence corresponding to each speed number, judge the change direction between adjacent positions in turn according to the arrangement order of each measuring point, identify whether there is a multiple reversal extension trend in the lateral area of ​​the fabric, extract the edge tension record and the middle tension record under the corresponding speed number, observe the distribution characteristics of the tension value in the lateral position, identify whether the tension fluctuation is mainly concentrated in the edge or middle area of ​​the fabric, remove the speed numbers that have been marked as concentrated tension fluctuations, retain the numbers that have not been removed, and generate a stable operation segment number list; S5: Call the speed numbers listed in the stable operation segment number list, extract the tension, hot zone temperature control, feeding speed, and running speed change records corresponding to the speed numbers, observe the direction of change and response rhythm during the operation adjustment process, and determine whether they show consistent or similar change trends over time. Mark speed numbers with consistent change trends as highly coordinated, mark speed numbers with partially consistent change trends as moderately coordinated, and mark speed numbers with significantly different change trends as lowly coordinated. Organize the correspondence between speed numbers and coordination states, and generate a speed process coordination classification list.

[0022] The available velocity number set includes humidity zoning codes, organizational structure category labels, and initial velocity type identifiers; the response hysteresis temperature control number group includes hysteresis judgment labels, timeout comparison results, and associated thermal control area codes; the convergence trend segment number list includes latitudinal offset trend indicators, longitudinal offset consistency identifiers, and stability assessment labels; the stable operation segment number list includes lateral extension change sequence characteristics, tension distribution area labels, and velocity number retention identifiers; and the velocity process coordination classification list includes coordination level classifications, trend change consistency indicators, and response rhythm matching labels.

[0023] Please see Figure 2 The steps to obtain S1 are as follows: S101: Obtain the humidity detection output value of the fabric feed section and the stress state of the fabric edge recorded by the tension device. Combined with the current fabric structure identifier, perform interval judgment on the humidity detection output value and the preset humidity zone boundary value to complete the confirmation of the humidity zone correspondence. Record the temperature control zone code corresponding to the humidity zone and generate the humidity zone code identifier. The process involves acquiring the humidity detection output value of the fabric feed section and the selvage stress state recorded by the tension device. An industrial-grade microwave penetration moisture meter installed at the fabric feed position collects an analog current signal (e.g., a 4-20mA standard signal). This signal is then converted into a corresponding percentage value using an analog-to-digital converter (ADC) as the humidity detection output value; for example, the converted value is 18.5%. Simultaneously, a cantilever beam tension sensor installed on the fabric feed expansion device reads the selvage stress state value in real time; for example, the sensor feedback shows a selvage stress value of 450N. The fabric weave identifier entered in the current production task order is retrieved from the production management system database; for example, a twill weave identifier "TWILL-3 / 1". A pre-set list of humidity zone boundary values ​​is retrieved from memory. This list contains several consecutive numerical intervals; for example, interval A is set to [5%, 15%), interval B to [15%, 25%), and interval C to [25%, 35%). The boundary values ​​for each interval are set to 5%, 15%, 25%, and 35% as reference values. The collected humidity detection output value of 18.5% is compared with the upper and lower boundary values ​​of each interval. The judgment process is as follows: confirm whether 18.5% is greater than or equal to 5% and less than 15%. If the comparison result is no, continue to confirm whether 18.5% is greater than or equal to 15% and less than 25%. If the comparison result is yes, it is determined that the current humidity detection output value falls within the range of interval B. Based on this judgment result, the corresponding interval number "HUM-ZONE-B" is locked as the humidity segment correspondence. The heat treatment process database associated with this humidity zone is called. The temperature control parameter group indexed and associated with "HUM-ZONE-B" is searched in the database. The corresponding temperature control segment code is located. For example, the temperature control configuration with the code "TEMP-SET-180C" is found. This configuration represents the temperature setting combination of the preheating zone, heating zone and heat preservation zone. The locked humidity interval number "HUM-ZONE-B" is bound and stored with the temperature control segment code "TEMP-SET-180C" to generate a humidity segment code identifier.

[0024] S102: Based on the humidity zone code identifier, call the selvage stress state and fabric structure identifier, perform a combination judgment on the selvage stress state value and structure code, compare the combination item with the mapping record in the heat treatment mapping table one by one, determine the speed category item that is consistent with the current combination condition, and extract the corresponding speed number set to obtain the initial speed number set. Based on the humidity zone code identifier, the selvage stress state and fabric structure identifier are retrieved. The humidity zone code identifier "HUM-ZONE-B" determined in the previous step is read, and the selvage stress state value of 450N and the fabric structure identifier "TWILL-3 / 1" at the fabric entry point are retrieved simultaneously. A preset heat treatment mapping table is accessed. This mapping table is stored in the form of a multi-dimensional matrix, including humidity zone column, tension range column, fabric structure column, and corresponding speed category column. For the selvage stress state of 450N, a tolerance range for tension matching is set, for example, the baseline tension range is set to [400N, 500N]. It is determined whether the current value of 450N is within this closed range. If it is within the range, the tension condition is determined to be met. At the same time, the fabric structure identifier "TWILL-3 / 1" is converted into the corresponding fabric structure code using a pattern recognition algorithm, for example, converted into binary features. The code "10110" is used to scan the heat treatment mapping table row by row, searching for records that simultaneously meet the three conditions: "humidity zone column = HUM-ZONE-B", "tension range column contains 450N", and "tissue structure column = 10110". For example, when scanning the 15th row, all conditions are found to be completely matched. The corresponding speed category entry for that row is read, for example, the category name is "medium speed - mild setting type". All specific speed numbers attached to this category are extracted. Assuming the extracted number sequence is V-102, V-105, V-108, these numbers represent different specific operating linear speed settings, such as V-102 corresponding to 30m / min, V-105 corresponding to 32m / min, and V-108 corresponding to 35m / min. These specific numbers, which have been filtered through multiple conditions, are combined into a candidate list to obtain the initial speed number set.

[0025] S103: Based on the initial speed number set, call the humidity segment code value and fabric structure classification information, perform consistency judgment on the humidity code and structure classification field associated with each speed number in the speed control configuration table, remove mismatched records, retain speed number entries that meet all conditions, and generate a set of usable speed numbers; Based on the initial speed number set, the humidity zone code value and fabric structure classification information are retrieved. Each element in the initial speed number set is traversed; for example, if number V-102 is selected, the speed control configuration table stored in the PLC controller is accessed. This table details the prerequisites required for each speed number to be valid. The configuration record corresponding to number V-102 is retrieved, and the content of the "Applicable Humidity Code" field specified in the record is read, for example, "HUM-ZONE-B". The content of the "Applicable Fabric Structure Classification" field is read, for example, "TWILL-SERIES". The currently obtained humidity zone code value "HUM-ZONE-B" is matched with the applicable humidity code in the configuration table. If the match is found, the classification information corresponding to the current fabric structure identifier, "TWILL-SERIES", is matched with the applicable humidity code in the configuration table. The tissue classification was compared, and the verification result was consistent. According to the logical AND operation rules, speed number V-102 was retained only when the humidity condition and tissue condition were simultaneously consistent. The next number V-105 was selected, and its configuration requirements were found to be applicable humidity code "HUM-ZONE-C". The current actual value "HUM-ZONE-B" was compared with the required value "HUM-ZONE-C", and a mismatch was found. The removal operation was performed, and V-105 was removed from the list. The next number V-108 was selected. Its configuration requirements were applicable humidity code "HUM-ZONE-B" and applicable tissue classification "TWILL-SERIES". The comparison passed, and it was retained. After completing the traversal and verification of all numbers in the set, all the numbers that were not removed were re-integrated to form the final executable list, generating a set of available speed numbers.

[0026] Please see Figure 3 The steps to obtain S2 are as follows: S201: Based on each speed number in the available speed number set, call the corresponding temperature control response time sequence in the thermal control record data, extract the heating start time point and speed adjustment start time point associated with each number, perform a sequence judgment on the two time points, identify whether the heating occurs after the speed adjustment, and generate a time sequence comparison table. Based on each speed number in the available speed number set, the corresponding temperature control response time series in the thermal control record data is retrieved. The available speed number set generated in step S1 is traversed. For example, if the set contains speed numbers V-102 and V-108, speed number V-102 is selected. The corresponding thermal control data log for this number in the historical production batch or trial operation record is queried. This log data is collected and recorded by thermocouples or infrared temperature probes distributed in each temperature zone. The temperature control response time series data is retrieved. This series contains a series of discrete timestamps corresponding to temperature change states. The moment when the temperature actually begins to rise after the temperature control command is issued, i.e., the temperature rise start time point, is located in the series and denoted as... For example, after reading from the log that a heating command for V-102 was issued, the sensor detects that the temperature begins to deviate positively from the set reference value (e.g., 150℃) at the 1200th second. Simultaneously, on the same time axis, the moment when the machine speed command fed back by the inverter drive changes from standstill or the previous speed level to the target speed corresponding to V-102 (e.g., 30m / min) is denoted as the speed adjustment start point. For example, if the inverter starts accelerating at the 1150th second, the values ​​of the two extracted time points are compared. Calculate the time difference ; Substitute numerical calculation Seconds, judgment If the value is greater than 0, it indicates that the heating start time is later than the speed adjustment start time, i.e., there is a lag. Repeat the above extraction and calculation steps for the next speed number V-108 in the set. Assume V-108 corresponds to... At the 1300th second, For the 1310th second, calculate Within seconds, determine that the temperature control changes before (or is synchronized with) the speed under that number, and assign the corresponding speed number to... , And the calculated The values ​​and lag status determination results ("lag" or "lead") are recorded line by line to construct a structured data table and generate a time sequence comparison table.

[0027] S202: Based on the time sequence lookup table, call the set response time threshold, determine whether the time difference corresponding to each number exceeds the threshold limit, filter out the numbers that are lagging in temperature and exceed the limit, summarize the speed numbers that meet the conditions according to the judgment results, and obtain the set of delay speed numbers. Based on the time sequence lookup table, the pre-set response time threshold is retrieved, and the response time threshold pre-stored in the system parameter configuration area is read. The threshold is set based on the thermal inertia characteristics of the heat setting machine and the allowable deviation of the process, for example, by setting... The value represents the maximum allowable lag time between the temperature control action and the speed action. It iterates through each record in the time sequence lookup table generated by the preceding steps, and for each record, the time difference is... With threshold Perform numerical comparisons and check the lag status field. If the status is "leading" (i.e., ...), If the record does not meet the filtering criteria, it will be directly determined that the record does not meet the filtering criteria. If the status is "lagging" (i.e., If the difference exceeds the limit, then a judgment is performed, and the judgment formula is as follows: Taking speed designation V-102 as an example, its seconds, threshold Seconds to make a judgment The result is true, indicating that the temperature control lag at this speed number exceeds the allowable range, and is judged as a lag anomaly. For speed number V-108, its... If the second value is less than 0, it will be directly excluded without entering the threshold judgment logic. If another speed number V-110 exists, its... Seconds, although lagging but If the data is determined to be within the allowable range, it will not be marked. All records that have undergone double judgment (consisting of positive lag judgment and threshold over-limit judgment) and are finally judged to be true will be extracted. The speed numbers V-102 and other corresponding speed numbers of these records will be stored separately in a new list container to obtain the set of lag speed numbers.

[0028] S203: For each number in the delay speed number set, extract the corresponding thermal control area number, merge the corresponding data according to the mapping relationship between the number and the area, and perform deduplication on the results to generate a response delay temperature control number group. For each number in the delay speed number set, extract the corresponding thermal control zone number. Iterate through each element in the delay speed number set. For example, take speed number V-102 and query the physical address or logical ID of the heating zone that this speed number is associated with in the process configuration. For example, V-102 mainly corresponds to the 3rd to 5th oven zone during operation, so the corresponding thermal control zone number sequence is obtained as "ZONE-03", "ZONE-04", and "ZONE-05". Take another speed number in the set (let's say V-115) and query its associated zones as "ZONE-04", "ZONE-05", and "ZONE-06". Summarize all the queried thermal control zone numbers to form a set containing duplicates. The original list of items ["ZONE-03", "ZONE-04", "ZONE-05", "ZONE-04", "ZONE-05", "ZONE-06"] is deduplicated. Utilizing the uniqueness of the set data structure, duplicate occurrences of "ZONE-04" and "ZONE-05" are removed sequentially, retaining only the unique area identifier. The resulting list is ["ZONE-03", "ZONE-04", "ZONE-05", "ZONE-06"]. These cleaned area numbers are used as the final objects for troubleshooting or parameter adjustment. They are indexed and stored according to the numerical value or spatial order of the numbers, generating response delay temperature control number groups.

[0029] Please see Figure 4 The steps to obtain S3 are as follows: S301: Based on the speed number associated in the response delay temperature control number group, obtain the weft offset data and warp offset data indexed by speed number in the fabric width detection equipment and the shaping outlet length recording unit, extract the continuous records arranged in time order under the same speed number, and for any two adjacent time points, determine whether the direction of the value change is consistent. Collect the time period numbers that simultaneously have the characteristic of consistent weft and warp offset directions to generate a set of consistent direction numbers. Based on the speed number associated with the response hysteresis temperature control number group, obtain the weft and warp offset data indexed by speed number from the fabric width detection equipment and the finalized outlet length recording unit. Extract the speed number identified in the previous stage that exhibits temperature control hysteresis, such as V-102. Access the historical database of the photoelectric fabric width detection sensor and index the corresponding weft offset data sequence according to the speed number V-102. This data reflects the dimensional deviation in the width direction of the fabric; for example, the collected sequence is... Simultaneously access the recording unit of the high-precision meter counter or rotary encoder at the standard export location to extract the meridional offset data sequence under the same speed number V-102. This data reflects the stretching deviation along the fabric's length (usually expressed as a percentage of shrinkage or elongation), for example, the corresponding sequence is... For these two sets of data under the same velocity number V-102, continuous records are extracted according to the timestamp alignment principle, and any two adjacent time points are selected. and Calculate the latitudinal offset difference for the data pairs. ,like The direction of latitudinal change is marked as "positively increasing". Marked as "negative decreasing", calculate the meridional offset difference. Similarly, logical markers indicate the direction of change, and the direction of change markers of the two are compared, for example, in to During this time period, the latitudinal gradient changed from 2.5mm to 2.8mm, a difference of +0.3mm, marked as positive. The longitudinal gradient changed from 1.2% to 1.4%, a difference of +0.2%, also marked as positive. It is determined that the latitudinal and longitudinal gradients changed in the same direction during this time period. If the next time period... to If the latitudinal direction continues to increase positively, and the longitudinal direction also continues to increase positively, then the consistency determination remains valid. Traverse all adjacent point pairs throughout the entire sequence, and number and mark those time periods where both are "both increasing positively" or "both decreasing negatively" at multiple consecutive sampling points (e.g., more than 3 consecutive points). For example, […]. to This eligible time period is marked as "SEG-V102-01". All segment numbers that meet this condition are aggregated to generate a set of numbers with consistent direction.

[0030] S302: Call the offset value sequence corresponding to the number listed in the direction consistent number set, calculate the continuously changing difference based on the offset value of adjacent time points, and determine whether the difference continues to decrease within the set convergence amplitude threshold. If the absolute value of the difference at three consecutive time points decreases successively, the corresponding number is listed as a segment with a stable convergence trend, and a stable direction number group is generated. The system retrieves the offset value sequence corresponding to the numbers listed in the direction-consistent number set, calculates the continuous change difference based on the offset values ​​at adjacent time points, reads a specific segment number from the direction-consistent number set (e.g., "SEG-V102-01"), and extracts the latitudinal offset value sequence contained within that segment. Calculate the absolute value of the change between two adjacent points, i.e., the absolute value of the first difference. The calculated sequence is as follows: Set the convergence amplitude threshold This threshold is used to define whether the rate of change is in an effective decay state, for example, by setting... (This threshold is set based on equipment accuracy and allowable process fluctuations.) The judgment logic includes two layers: verifying whether the absolute value sequence of differences shows a monotonically decreasing trend, i.e. Substitute the values To determine if a decreasing trend is met, verify whether the difference gradually approaches 0 numerically without significant rebound (e.g., requiring the last difference to be less than a set threshold or the previous difference). Combine this with the threshold to determine if it falls within a controllable range of minute changes. If the calculated difference sequence satisfies the condition that the absolute value of the difference decreases successively over three consecutive time steps... This indicates that the rate of dimensional change of the fabric is slowing down during the adjustment process, and the system is tending to stabilize. At this point, the segment number "SEG-V102-01" is determined to have stable convergence characteristics. If for another segment, the difference sequence is... If an increase occurs in the middle, the condition of successive decrease is not met, and it is removed. This calculation and logical judgment are performed on all numbers in the set, and the verified numbers are summarized to generate a stable direction number group.

[0031] S303: Based on the numbers listed in the stable direction numbering group, extract the velocity numbers that simultaneously satisfy the consistency of the offset direction and the stability of the convergence trend, summarize them to form a set of valid numbers with continuous convergence characteristics, and generate a list of convergence trend segment numbers. Based on the numbers listed in the stable direction numbering group, extract the velocity numbers that simultaneously satisfy both the consistency of the offset direction and the stability of the convergence trend. Iterate through each element in the stable direction numbering group, such as "SEG-V102-01" and "SEG-V105-02," and trace back to the original velocity number to which each segment number belongs. Confirm that "SEG-V102-01" belongs to velocity number V-102 and "SEG-V105-02" belongs to velocity number V-105. Based on the filtering results of the previous step S301, confirm that the data under this velocity number satisfies the consistency of the latitude and longitude offset direction (i.e., changes in the same direction). Simultaneously, based on the calculation results of step S302, confirm that the data under this velocity number satisfies the change... The successive convergence of the difference (i.e., the slowing down of change) is evaluated by performing a logical AND operation. Only when a speed number exists in the result of the direction consistency judgment and its corresponding change data passes the convergence trend verification algorithm is it considered a valid object. For example, V-102 meets the conditions and is retained. However, if a speed number V-110 only meets the direction consistency but the change amplitude is divergent (such as the difference getting larger and larger), it is excluded. All retained speed numbers (such as V-102, V-105) are deduplicated and formatted to construct a list of speed control parameters that only contain those where the fabric size change still shows regularity and tends to be stable under thermal control hysteresis. A list of convergence trend segment numbers is generated.

[0032] Please see Figure 5The steps to obtain S4 are as follows: S401: Call the speed numbers listed in the convergence trend segment number list, index the lateral extension direction data of each measuring point from the edge to the middle of the fabric recorded by the tension monitoring device, extract the extension direction change trend sequence corresponding to each speed number, compare the direction changes between adjacent measuring points in the order of the measuring points, determine whether there is a situation where one direction is switched to the opposite direction, count the number of direction reversals corresponding to each number, and generate the extension reversal frequency distribution. The system retrieves the velocity numbers listed in the convergence trend segment number list, indexes the lateral extension direction data of each measuring point from the fabric edge to the fabric center recorded by the tension monitoring device, iterates through the velocity number V-102 selected in the previous steps, and accesses the database of the lateral multi-point array tension monitoring system. This array is uniformly arranged along the fabric width direction (Weft Direction), for example, 10 measuring points (numbered P1 to P10) are arranged from the left fabric edge (Pos-0) to the right fabric edge (Pos-N). The system extracts the lateral displacement or strain direction data recorded by each measuring point during the operation of velocity number V-102 to form a spatial sequence. ,in The value can be "+1" (representing outward extension, i.e., elongation caused by tension) or "-1" (representing inward contraction). For example, the extracted sequence is According to the physical arrangement order of the measuring points Compare adjacent measuring points in turn and The value is used to determine if there is a sign change, i.e., from +1 to -1 or from -1 to +1, and a reverse counter variable is defined. Initialize to 0, then perform a loop comparison: A sign change occurs between P3(+1) and P4(-1). Add 1; A sign change occurs between P6(-1) and P7(+1). Add 1 more; The remaining adjacent points have the same symbol. The final count for velocity number V-102 is 2 reversals. For another velocity number V-105 in the list, the extracted sequence is: After comparison, the number of inversions is 0, and the calculated number of inversions is associated with the corresponding velocity number to generate an extended inversion frequency distribution.

[0033] S402: Based on the speed number involved in the extended reversal frequency distribution, extract the corresponding selvage tension record and in-fabric tension record, obtain the tension value of each measuring point, group them according to the lateral position of the fabric width, calculate the standard deviation of the tension value in each group, determine whether the fluctuation degree is concentrated in the selvage or in-fabric area, record the speed number of the concentrated fluctuation phenomenon, and generate the lateral tension fluctuation partition. Based on the velocity numbers involved in the extended reversal frequency distribution, extract the corresponding selvage tension records and in-fabric tension records. For velocity number V-102, retrieve the real-time tension values ​​of the selvage area measuring points (defined as P1-P2 and P9-P10) and the in-fabric area measuring points (defined as P3-P8), respectively. For example, a set of continuous sampling values ​​of measuring point P1 on the left side of the selvage... A set of sampled values ​​at measuring point P5 in the cloth were... Group the data by region and construct separate edge datasets. Hebu dataset Calculate the standard deviation of the data within each group. This is used to measure the dispersion of fluctuations, for example, by calculating the standard deviation of the average tension fluctuation in the fabric edge region. Standard deviation of average tension fluctuation in the fabric region Set the threshold multiple for determining fluctuation concentration. (This coefficient is set based on the process requirements for uniformity and is dimensionless.) Execute the judgment logic: If... If the fluctuation is concentrated at the edge of the fabric, then it is determined that the fluctuation is concentrated at the edge of the fabric; if If the fluctuation is concentrated in the cloth, then it is determined that the fluctuation is concentrated in the cloth; otherwise, it is determined to be uniformly distributed. Substitute the values... The result is true, indicating that the tension fluctuation of V-102 exhibits a "concentration within the fabric" characteristic. For velocity number V-105, if... If the ratio of the two does not exceed the set multiple K, it is judged as "non-concentrated fluctuation". All speed numbers with judgment results of "concentrated at the edge of the fabric" or "concentrated in the middle of the fabric" are labeled with the corresponding area to generate a transverse tension fluctuation zone.

[0034] S403: Based on the speed numbers in the lateral tension fluctuation zoning and extension reversal frequency distribution, remove the numbers that have already shown tension fluctuation concentration, retain the remaining unmarked numbers, organize the speed numbers that have lateral extension change stability and tension distribution balance, and generate a list of stable operating segment numbers. Based on the speed numbers in the transverse tension fluctuation zone and the extension reversal frequency distribution, numbers showing concentrated tension fluctuations are eliminated. All speed numbers to be evaluated are traversed, and their status labels in the "transverse tension fluctuation zone" are checked. For speed number V-102 marked as "concentrated in the fabric," elimination is performed according to the process stability principle, as severe fluctuations in the central area may cause fabric structure distortion. Numbers marked as "concentrated at the fabric edge" are also eliminated to prevent the risk of edge detachment. The data of the remaining numbers in the "extension reversal frequency distribution" are checked, and an upper limit for the number of reversals is set. For example, setting This indicates that only one change in a single direction is allowed for the lateral extension trend (such as extending from the center to both sides). The number of reversals for speed number V-105 is 0, less than the upper limit of 1, and it was not marked as a concentrated fluctuation in the previous step, therefore it is retained. If a certain number V-108 has 3 reversals (exhibiting a wavy extension), even if the tension fluctuation is not concentrated, it exceeds the reversal upper limit. The remaining velocity numbers that were eliminated were all those that had undergone double screening (no regional concentrated fluctuations and a single stable lateral extension pattern) and were compiled and sorted out. Finally, numbers such as V-105 were confirmed as process parameters that met the requirements, and a list of stable operating section numbers was generated.

[0035] Please see Figure 6 The steps to obtain S5 are as follows: S501: Call the speed numbers listed in the stable operation segment number list, extract the tension record, hot zone temperature control record, feeding speed record and running speed record corresponding to each number, arrange the parameters according to the time order, obtain the direction of numerical change at continuous time points, construct three sets of correspondences according to a single speed number: tension and temperature control, tension and feeding speed, and tension and running speed, determine whether the change direction of each set is consistent, and generate direction pairing statistical results; The process of obtaining the direction of numerical change at consecutive time points is as follows: The tension record, hot zone temperature control record, feeding speed record and running speed record are compared with adjacent data in chronological order. The corresponding change direction is determined according to the increase or decrease relationship of the data before and after, and the time alignment of the change direction of each parameter under the same speed number is maintained. The process of determining whether the direction of change in each group is consistent is as follows: At the same time point, the changes in tension and temperature control, tension and feeding speed, and tension and running speed are compared respectively. Only when the direction determination results are the same and there is no missing direction, it is recorded as consistent. All other cases are recorded as inconsistent, and direction pairing statistics are formed. The system retrieves the speed numbers listed in the stable operation segment number list, extracts the tension record, hot zone temperature control record, feeding speed record, and running speed record corresponding to each number, iterates through the stable operation segment number list generated in the previous steps, reads the first speed number V-105, accesses the production process database, and locks the historical storage partitions of the tension sensor array, thermocouple temperature control acquisition unit, fabric feed roller servo encoder, and main chain driver encoder. Based on the millisecond-level timestamp index, it extracts four sets of parameter sequences for speed number V-105 throughout the entire time period, which are the tension sequence. (Unit: N), Temperature control sequence (Unit: °C) Feeding speed sequence (Unit: m / min) and actual operating speed sequence (Unit: m / min) Ensure that the four sets of data are strictly aligned on the time axis, for example, by selecting a time period. to 1000 sampling points within, for any adjacent time points and Calculate the numerical increment of each parameter separately, for example, calculate the tension increment. ,like This is denoted as a positive change (+). This is recorded as a negative change (-), and the temperature increment is calculated similarly. Feeding speed increment and operating speed increment Obtain four parameters at time 10:00 The direction of change is indicated by three sets of comparison relationships: The first set compares the direction indicators of tension and temperature control. If both are positive or both are negative, the first set of directions is considered consistent at that moment; otherwise (one positive and one negative or containing zero values), they are inconsistent. The second set compares the direction indicators of tension and feeding speed. The third set compares the direction indicators of tension and running speed, for example, at time... If the tension increases (+), temperature increases (+), feeding speed increases (+), and running speed decreases (-), then the first group (+ / +) is determined to be consistent, the second group (+ / +) is determined to be consistent, and the third group (+ / -) is determined to be inconsistent. The comparison results of the three groups at each moment (e.g., "consistent, consistent, inconsistent") are associated and stored in the analysis matrix under that speed number in the form of Boolean values ​​or status codes, completing the full data processing of all speed numbers in the list and generating directional pairing statistics.

[0036] S502: Based on the pairing of each speed number in the direction pairing statistics, calculate the percentage of time points in which the three groups of directions are consistent throughout the entire time period, and compare it with the set reference value for the percentage of consistent directions. If the percentage is not lower than the reference value, it is marked as highly coordinated; if only two groups of directions are consistent, it is marked as moderately coordinated; if only one group or no consistent direction is found, it is marked as lowly coordinated, and generate the coordination grouping identification result. Based on the pairing results of each velocity number in the direction pairing statistics, the percentage of time points in which the three directions remain consistent throughout the entire time period is calculated and compared with the set benchmark value for the percentage of consistent directions. For the analysis matrix of velocity number V-105, the total number of sampling points is counted. ,For example For each sampling point, iterate through the comparison status and count the number of time points that simultaneously satisfy "first group consistent AND second group consistent AND third group consistent", denoted as . For example, statistics show that... 1, calculate the percentage of completely consistent. Substituting the numerical values, we can obtain the following results. Set a baseline value for the proportion of directions that are consistent. This benchmark value is set based on the stringent requirements for parameter synchronization in high-quality fabric finishing processes, such as setting... The calculated result of 88% is compared with the benchmark value of 85% to determine... If the condition is met, speed number V-105 is marked as "highly coordinated". If the calculation result of another speed number V-108 is 70%, which is lower than the benchmark value, then the secondary judgment logic is entered. The percentage of time points under this number where only any two groups are consistent (e.g., only the first and second groups are consistent, or only the first and third groups are consistent) is counted. If this percentage exceeds the preset secondary threshold (e.g., 60%), then it is determined that its characteristic meets the condition of "two groups are consistent", and it is marked as "moderately coordinated". If the above conditions are not met, that is, most time points have only one group consistent or no consistency, for example, V-112 has a full consistency percentage of 20%, two groups consistent percentage of 30%, and the remaining 50% are low correlation states, then it is marked as "lowly coordinated". The level assessment of all numbers is completed one by one, and the coordination group identification result is generated.

[0037] S503: Based on the speed number and corresponding label in the coordination group identification results, classify and collect each number according to the coordination status, establish a corresponding record of status label and speed number, organize and form a complete hierarchical correspondence, and generate a speed process coordination hierarchical list. Based on the speed numbers and corresponding labels in the coordination group identification results, each number is categorized and grouped according to its coordination status. A corresponding record between the status label and the speed number is established. Three classification containers are initialized and named "Level-A_High" (High Coordination), "Level-B_Mid" (Medium Coordination), and "Level-C_Low" (Low Coordination), respectively. Each record in the coordination group identification results is traversed. Speed ​​number V-105 and its label "High Coordination" are read and placed into the "Level-A_High" container. Speed ​​number V-108 and its label "Medium Coordination" are read and placed into the "Level-B_Mid" container. The "d" container reads V-112 and its tag "Low Coordination" and categorizes it into the "Level-C_Low" container. After categorization, the speed numbers within each container are indexed and organized to construct a key-value pair structure, such as {"Level-A":[V-105,V-120,…],"Level-B":[V-108,…],"Level-C":[V-112,…]}. This structure directly maps the coordination and matching capabilities of process parameters under different speed settings. This mapping relationship is solidified into a standard reference list for subsequent process parameter recommendations or automatic control program calls, generating a speed process coordination classification list.

[0038] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for synergistic optimization of stretching and setting speed and process parameters, characterized in that, Includes the following steps: S1: Obtain the fabric infeed humidity value and tension status, combine the weave identification with humidity zone and temperature control code, generate combined information based on tension and structure to map initial speed labels, and filter by multi-condition lookup configuration table to generate a set of available speed numbers. S2: Based on each speed number in the available speed number set, call the thermal control response time sequence, compare the temperature control heating and speed adjustment time points, determine whether the temperature control change lags behind the speed change and exceeds the threshold, determine it as a response delay type, organize the associated thermal control area numbers, and generate a response delay temperature control number group. S3: Based on the speed number associated in the response delay temperature control number group, call the continuous records of latitudinal and longitudinal offsets, determine the consistency of the offset direction of adjacent points, check whether the offset change shows a convergence trend, filter the speed numbers that meet the conditions, and form a list of convergence trend segment numbers. S4: Call the speed number in the convergence trend segment number list, determine the direction of change of adjacent positions of each measuring point to identify the lateral reversal trend, observe the tension distribution characteristics of the fabric edge and the fabric, identify the area of ​​concentrated fluctuation, remove the speed number of concentrated tension fluctuation, and generate a stable operation segment number list.

2. The method for synergistic optimization of stretching and shaping speed and process parameters according to claim 1, characterized in that: The available velocity number set includes humidity zoning code, tissue structure category label, and initial velocity type identifier; the response hysteresis temperature control number group includes hysteresis judgment label, timeout comparison result, and associated thermal control area code; the convergence trend segment number list includes latitudinal offset trend index, longitudinal offset consistency identifier, and stability assessment label; and the stable operation segment number list includes lateral extension change sequence characteristics, tension distribution area label, and velocity number retention identifier.

3. The method for synergistic optimization of stretching and shaping speed and process parameters according to claim 1, characterized in that: The steps for obtaining S1 are as follows: S101: Obtain the humidity detection output value of the fabric feed section and the stress state of the fabric edge recorded by the tension device. Combined with the current fabric structure identifier, perform interval judgment on the humidity detection output value and the preset humidity zone boundary value to complete the confirmation of the humidity zone correspondence. Record the temperature control zone code corresponding to the humidity zone and generate the humidity zone code identifier. S102: Based on the humidity zone code identifier, call the selvage stress state and fabric structure identifier, perform a combination judgment on the selvage stress state value and structure code, compare the combination item with the mapping record in the heat treatment mapping table one by one, determine the speed category item that is consistent with the current combination condition, and extract the corresponding speed number set to obtain the initial speed number set. S103: Based on the initial speed number set, call the humidity segment code value and fabric structure classification information, perform consistency judgment on the humidity code and structure classification field associated with each speed number in the speed control configuration table, eliminate mismatched records, retain speed number entries that meet all conditions, and generate a set of usable speed numbers.

4. The method for synergistic optimization of stretching and shaping speed and process parameters according to claim 1, characterized in that: The steps for obtaining S2 are as follows: S201: Based on each speed number in the available speed number set, call the corresponding temperature control response time sequence in the thermal control record data, extract the heating start time point and speed adjustment start time point associated with each number, perform a sequence judgment on the two time points, identify whether the heating occurs after the speed adjustment, and generate a time sequence comparison table. S202: According to the time sequence reference table, call the set response time threshold, determine whether the time difference corresponding to each number exceeds the threshold limit, screen out the numbers that are lagging in heating and exceed the limit, and summarize the speed numbers that meet the conditions according to the judgment results to obtain the delay speed number set. S203: For each number in the delay speed number set, extract the corresponding thermal control area number, merge the corresponding data according to the mapping relationship between the number and the area, and perform deduplication on the result to generate a response delay temperature control number group.

5. The method for synergistic optimization of stretching and shaping speed and process parameters according to claim 1, characterized in that: The steps for obtaining S3 are as follows: S301: Based on the speed number associated in the response delay temperature control number group, obtain the weft offset data and warp offset data indexed by speed number in the fabric width detection equipment and the shaping outlet length recording unit, extract the continuous records arranged in time order under the same speed number, and for any two adjacent time points, determine whether the direction of the value change is consistent. Collect the time period numbers that simultaneously have the characteristic of consistent weft and warp offset directions to generate a set of consistent direction numbers. S302: Call the offset value sequence corresponding to the number listed in the direction consistent number set, calculate the continuously changing difference based on the offset value of adjacent time points, and determine whether the difference continues to decrease within the set convergence amplitude threshold. If the absolute value of the difference at three consecutive time points decreases successively, the corresponding number is listed as a segment with a stable convergence trend, and a stable direction number group is generated. S303: Based on the numbers listed in the stable direction numbering group, extract the velocity numbers that simultaneously satisfy the consistency of the offset direction and the stability of the convergence trend, summarize them to form a set of valid numbers with continuous convergence characteristics, and generate a list of convergence trend segment numbers.

6. The method for synergistic optimization of stretching and shaping speed and process parameters according to claim 1, characterized in that: The steps for obtaining S4 are as follows: S401: Call the speed numbers listed in the convergence trend segment number list, index the lateral extension direction data of each measuring point from the edge to the middle of the fabric recorded by the tension monitoring device, extract the extension direction change trend sequence corresponding to each speed number, compare the direction changes between adjacent measuring points in the order of the measuring points, determine whether there is a situation where one direction is switched to the opposite direction, count the number of direction reversals corresponding to each number, and generate the extension reversal frequency distribution. S402: Based on the speed number involved in the extended reversal frequency distribution, extract the corresponding selvage tension record and in-fabric tension record, obtain the tension value of each measuring point, group them according to the lateral position of the fabric width, calculate the standard deviation of the tension value in each group, determine whether the fluctuation degree is concentrated in the selvage or in-fabric area, record the speed number of the concentrated fluctuation phenomenon, and generate a lateral tension fluctuation partition. S403: Based on the speed numbers in the lateral tension fluctuation partition and extension reversal frequency distribution, remove the numbers where tension fluctuations have occurred, retain the remaining unmarked numbers, organize the speed numbers that have lateral extension change stability and tension distribution balance, and generate a stable operating segment number list.

7. The method for synergistic optimization of stretching and shaping speed and process parameters according to claim 1, characterized in that: The method further includes: S5: Call the speed number listed in the stable operation segment number list, extract the records of tension, hot zone temperature control, feed speed and running speed changes, compare the change direction and response rhythm in the adjustment process, distinguish the degree of trend consistency and complete the coordination status mark, and generate a speed process coordination classification list. The speed process coordination classification list includes coordination level classification, trend change consistency index, and response rhythm matching label.

8. The method for synergistic optimization of stretching and shaping speed and process parameters according to claim 7, characterized in that: The steps for obtaining S5 are as follows: S501: Call the speed numbers listed in the stable operation segment number list, extract the tension record, hot zone temperature control record, feeding speed record and running speed record corresponding to each number, arrange the parameters according to the time order, obtain the direction of numerical change at continuous time points, construct three sets of correspondences according to a single speed number: tension and temperature control, tension and feeding speed, and tension and running speed, determine whether the change direction of each set is consistent, and generate direction pairing statistical results; S502: Based on the pairing of each speed number in the direction pairing statistics, calculate the percentage of time points in which the three groups of directions are consistent throughout the entire time period, and compare it with the set reference value for the percentage of consistent directions. If the percentage is not lower than the reference value, it is marked as highly coordinated; if only two groups of directions are consistent, it is marked as moderately coordinated; if only one group or no consistent direction is present, it is marked as lowly coordinated. Generate a coordinated grouping identification result. S503: Based on the speed number and corresponding label in the coordination group identification results, classify and collect each number according to the coordination status, establish a corresponding record between the status label and the speed number, organize and form a complete hierarchical correspondence, and generate a speed process coordination hierarchical list.

9. The method for synergistic optimization of stretching and shaping speed and process parameters according to claim 8, characterized in that: The process of obtaining the direction of numerical change at consecutive time points is as follows: The tension record, the hot zone temperature control record, the feeding speed record, and the running speed record are compared in chronological order. The corresponding direction of change is determined based on the increase or decrease relationship of the data before and after, and the time alignment of the direction of change of each parameter under the same speed number is maintained. The process for determining whether the direction of change in each group is consistent is as follows: At the same time point, the changes in tension and temperature control, tension and feeding speed, and tension and running speed are compared respectively. Only when the direction determination results are the same and there is no missing direction, it is recorded as consistent. Otherwise, it is recorded as inconsistent, and the direction pairing statistics are formed.

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