A tension prediction and control system and method in cloth printing and dyeing process

Abstract

The present invention provides a tension prediction and control system and method in a cloth printing and dyeing process, and relates to the technical field of electrical digital data processing. The present invention divides the cloth into shaping and drying stages, simulates the thermal expansion and contraction characteristics at different temperatures, calculates the first fiber length average value and the variation trend coefficient within each simulated temperature range, and dynamically monitors the physical properties of the cloth material at different temperatures in combination with the first partition temperature. By calculating the second tension average value and the variation trend coefficient and correlating them with the second partition temperature, the precise control of the target tension in different shaping and drying stages is ensured, and targeted tension adjustment is achieved. The application of the correlation adjustment coefficient makes the target tension prediction more scientific, enhances the flexible adjustment capability for changes in cloth material characteristics, reduces the risk of tension fluctuation and cloth deformation, and thus improves the quality and consistency of printed and dyed products.

Description

Technical Field

[0001] The present invention relates to the technical field of electronic digital data processing, in particular to a tension prediction and control system and method in a cloth printing and dyeing process. Background Art

[0002] Regarding tension control during the printing and dyeing process, increasing research is focusing on the impact of multiple factors, such as temperature, humidity, and mechanical tension, on fabric properties. During the setting and drying stage, the thermal expansion and contraction characteristics of the fabric are directly related to its ultimate dimensional stability and printing and dyeing results. Therefore, how to accurately predict and control the tension of the fabric during the different setting and drying stages has become a technical challenge that needs to be solved in the textile industry. Through systematic analysis of fabric performance during the setting and drying process, researchers have gradually proposed a variety of control strategies, including temperature control, humidity control, and tension feedback control.

[0003] In the prior art, the publication number is CN114997069B, and the name is a textile fabric winding tension prediction system based on machine learning. This system is essentially a system that uses machine learning, such as a neural network, and specifically includes: a data acquisition module for obtaining the tension, stress, and servo motor speed of each fabric segment; a data processing module for obtaining the winding stability, warp let-off process similarity, and tension difference of each fabric segment; a tension prediction module for constructing a first prediction neural network and completing network training using a first prediction loss function; the predicted fabric tension is obtained through the first prediction neural network, the predicted adjustment degree of the servo motor is calculated, and the motor is adjusted accordingly; the system can realize the prediction of the textile fabric winding tension and can accurately adjust the motor to keep the tension in a stable state;

[0004] Article number: 1005-9350(2005)03-0045-05, "Tension Control in Fabric Dyeing and Finishing Processes" by Chen Liqiu, explains the principles for setting and controlling the initial and additional tension of fabric guides in multi-unit dyeing and finishing machines. It also demonstrates the tension interference of the spring-type tension frame of currently available giant jiggers with changes in roll diameter.

[0005] Existing shortcomings: Traditional methods often rely on empirical formulas and static data analysis, lacking real-time monitoring and analysis of the thermal expansion and contraction characteristics of fabric during the dynamic shaping and drying process. This results in the inability to accurately control the fabric tension to match its real-time state in actual operation, often resulting in problems such as inaccurate tension prediction, large tension fluctuations, and fabric deformation. In addition, existing technologies fail to fully consider the changes in the physical properties of fabric at different temperatures during the tension control process, thus affecting printing and dyeing quality and production efficiency. In particular, when the fabric experiences different temperatures and times during the different shaping and drying stages, the changing trends of its fiber length and tension are difficult to effectively capture and analyze.

[0006] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not form the prior art that is already known to a person of ordinary skill in the art. Summary of the Invention

[0007] The object of the present invention is to provide a tension prediction and control system and method in the cloth printing and dyeing process to solve the problems raised in the above background technology.

[0008] To achieve the above object, the present invention provides the following technical solutions:

[0009] A method for predicting and controlling tension in a cloth printing and dyeing process, the method includes a setting and drying stage of the cloth in the printing and dyeing process, and specifically comprises the following steps:

[0010] Step S1: Divide the setting and drying stages of the cloth to form a stage sequence set of different setting and drying stages, determine the simulated temperature range and setting and drying time of the cloth in each setting and drying stage; perform setting and drying simulations on the cloth to be processed in different setting and drying stages under the corresponding simulated temperature ranges, and collect the thermal expansion and contraction characteristics and target tension range of the cloth to be processed under each simulated temperature range and after the setting and drying time;

[0011] Step S2: Calculate the first fiber length average value and the first fiber length variation trend coefficient corresponding to the thermal expansion and contraction characteristics within each simulated temperature range in step S1, and associate the first fiber length average value with the corresponding first partition temperature value. The first partition temperature value is used to partition the simulated temperature range.

[0012] Step S3: Calculating the second tension average value and the second tension variation trend coefficient corresponding to the target tension range in each simulated temperature range in step S1, and associating the second tension average value with the corresponding second partition temperature value, and the second partition temperature value is used to divide the simulated temperature range into partitions;

[0013] Step S4: obtaining the real-time thermal expansion and contraction characteristics of the current cloth to be processed in different shaping and drying stages, and comparing and analyzing the real-time thermal expansion and contraction characteristics with the average value of the first fiber length to determine the relative position of the working temperature of the current cloth to be processed in different shaping and drying stages and the temperature value of the corresponding first partition, thereby obtaining the actual working temperature range of the cloth to be processed in different shaping and drying stages;

[0014] Step S5: Correcting the first fiber length average value according to the actual operating temperature range and the first fiber length variation trend coefficient to obtain a corrected first fiber length average value;

[0015] Step S6: comparing and analyzing the actual operating temperature range of the cloth to be processed in different shaping and drying stages in step S4 with the corresponding second zone temperature value, to obtain a predicted value of the target tension range of the cloth to be processed in different shaping and drying stages;

[0016] Step S7: Correcting the second tension average value according to the target tension range prediction value and the second tension change trend coefficient to obtain a corrected second tension average value;

[0017] Step S8: Perform correlation analysis on the corrected first fiber length average value and the second tension average value to comprehensively generate a correlation adjustment coefficient, which is used to provide an adjustment control strategy for the target tension range prediction value of the current cloth to be processed in different shaping and drying stages.

[0018] Furthermore, a correlation adjustment coefficient is comprehensively generated, and the correlation adjustment coefficient is used to provide an adjustment control strategy for the target tension range prediction value of the current cloth to be processed in different shaping and drying stages, specifically including:

[0019] The ratio between the average value of the first fiber length corrected in the u-th setting and drying stage and the average value of the second tension is calculated and recorded as C1u. The calculation formula is as follows:

[0020]

[0021] The value range of C1u is (0, 1). Based on the expert group system or experimental demonstration, the judgment threshold of C1u is set as C1u,th, and the value range of C1u,th is (0.12, 0.84);

[0022] If C1u≥C1u,th, for The following adjustment control strategies are provided:

[0023]

[0024] If C1u<C1u,th, for The following adjustment control strategies are provided:

[0025]

[0026] in, It represents the predicted value of the target tension range after adjusting the control strategy in the u-th shaping and drying stage.

[0027] A tension prediction and control system for a cloth printing and dyeing process, the system being used to execute the tension prediction and control method for a cloth printing and dyeing process, comprising:

[0028] Data division and collection module: used to divide the fabric's shaping and drying stages to form a stage sequence set of different shaping and drying stages, determine the simulated temperature range and shaping and drying time of the fabric in each shaping and drying stage; perform shaping and drying simulations on the fabric to be processed in different shaping and drying stages under the corresponding simulated temperature range, and collect the thermal expansion and contraction characteristics and target tension range of the fabric to be processed under each simulated temperature range and after the shaping and drying time;

[0029] A first calculation module is used to calculate the first fiber length average value and the first fiber length change trend coefficient corresponding to the thermal expansion and contraction characteristics in each simulated temperature range, and associate the first fiber length average value with the corresponding first partition temperature value. The first partition temperature value is used to divide the simulated temperature range into partitions;

[0030] A second calculation module is used to calculate the second tension average value and the second tension change trend coefficient corresponding to the target tension range in each simulation temperature range, and associate the second tension average value with the corresponding second partition temperature value, and the second partition temperature value is used to divide the simulation temperature range into partitions;

[0031] The first comparison and analysis module is used to obtain the real-time thermal expansion and contraction characteristics of the current cloth to be processed in different shaping and drying stages, compare and analyze the real-time thermal expansion and contraction characteristics with the average value of the first fiber length, so as to determine the relative position of the working temperature of the current cloth to be processed in different shaping and drying stages and the temperature value of the corresponding first partition, and obtain the actual working temperature range of the cloth to be processed in different shaping and drying stages;

[0032] A first correction module is used to correct the first fiber length average value according to the actual operating temperature range and the first fiber length change trend coefficient to obtain a corrected first fiber length average value;

[0033] The second comparison and analysis module is used to compare and analyze the actual working temperature range of the cloth to be processed in different shaping and drying stages with the corresponding second zone temperature value, and obtain the target tension range prediction value of the cloth to be processed in different shaping and drying stages;

[0034] A second correction module is used to correct the second tension average value according to the target tension range prediction value and the second tension change trend coefficient to obtain a corrected second tension average value;

[0035] Correlation adjustment coefficient generation module: used to combine the corrected first fiber length average value with the second tension average value for correlation analysis, and comprehensively generate a correlation adjustment coefficient. The correlation adjustment coefficient is used to provide an adjustment control strategy for the target tension range prediction value of the current cloth to be processed in different shaping and drying stages.

[0036] Compared with the existing technology, the present invention has the following advantages: by dividing the shaping and drying stages of the cloth, forming a stage sequence set and simulating the thermal expansion and contraction characteristics under different temperature ranges, the thermal expansion and contraction characteristics of the cloth at each stage and the target tension range can be accurately collected, thereby providing a scientific basis for subsequent tension control and ensuring the stability and quality of the entire printing and dyeing process;

[0037] The average value and variation trend coefficient of the first fiber length within each simulated temperature range are calculated and associated with the first partition temperature value, enabling dynamic monitoring of the physical properties of the fabric material under different temperature conditions. This process makes subsequent tension predictions more accurate and reduces production fluctuations caused by changes in material properties.

[0038] By calculating the second tension average value and variation trend coefficient and associating them with the second zone temperature value, precise control of the target tension range is ensured in different shaping and drying stages, thereby achieving targeted tension adjustment, reducing the defective product rate, and improving overall printing and dyeing efficiency and product quality. The associated adjustment coefficient makes the prediction of the target tension range more scientific and accurate, thereby achieving flexible adjustment for changes in fabric material properties, reducing the risk of tension fluctuations and fabric deformation, and improving the quality and consistency of printed and dyed products. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 Schematic diagram of the overall method flow of the present invention;

[0040] Figure 2 This is a block diagram of the system modules of the present invention. DETAILED DESCRIPTION

[0041] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below with reference to specific embodiments.

[0042] It should be noted that, unless otherwise defined, the technical or scientific terms used in the present invention should have the usual meanings understood by people with ordinary skills in the field to which the present invention belongs. The "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative position relationships. When the absolute position of the object being described changes, the relative position relationship may also change accordingly.

[0043] Example 1:

[0044] See also Figure 1 , the present invention provides a technical solution:

[0045] A method for predicting and controlling tension in a cloth printing and dyeing process, the method includes a setting and drying stage of the cloth in the printing and dyeing process, and specifically comprises the following steps:

[0046] Step S1: Divide the setting and drying stages of the cloth to form a stage sequence set of different setting and drying stages, determine the simulated temperature range and setting and drying time of the cloth in each setting and drying stage; perform setting and drying simulations on the cloth to be processed in different setting and drying stages under the corresponding simulated temperature ranges, and collect the thermal expansion and contraction characteristics and target tension range of the cloth to be processed under each simulated temperature range and after the setting and drying time;

[0047] Step S2: Calculate the first fiber length average value and the first fiber length variation trend coefficient corresponding to the thermal expansion and contraction characteristics within each simulated temperature range in step S1, and associate the first fiber length average value with the corresponding first partition temperature value. The first partition temperature value is used to partition the simulated temperature range.

[0048] Step S3: Calculating the second tension average value and the second tension variation trend coefficient corresponding to the target tension range in each simulated temperature range in step S1, and associating the second tension average value with the corresponding second partition temperature value, and the second partition temperature value is used to divide the simulated temperature range into partitions;

[0049] Step S4: obtaining the real-time thermal expansion and contraction characteristics of the current cloth to be processed in different shaping and drying stages, and comparing and analyzing the real-time thermal expansion and contraction characteristics with the average value of the first fiber length to determine the relative position of the working temperature of the current cloth to be processed in different shaping and drying stages and the temperature value of the corresponding first partition, thereby obtaining the actual working temperature range of the cloth to be processed in different shaping and drying stages;

[0050] Step S5: Correcting the first fiber length average value according to the actual operating temperature range and the first fiber length variation trend coefficient to obtain a corrected first fiber length average value;

[0051] Step S6: comparing and analyzing the actual operating temperature range of the cloth to be processed in different shaping and drying stages in step S4 with the corresponding second zone temperature value, to obtain a predicted value of the target tension range of the cloth to be processed in different shaping and drying stages;

[0052] Step S7: Correcting the second tension average value according to the target tension range prediction value and the second tension change trend coefficient to obtain a corrected second tension average value;

[0053] Step S8: Perform correlation analysis on the corrected first fiber length average value and the second tension average value to comprehensively generate a correlation adjustment coefficient, which is used to provide an adjustment control strategy for the target tension range prediction value of the current cloth to be processed in different shaping and drying stages.

[0054] Further explanation: the thermal expansion and contraction characteristics and target tension range of the fabric to be processed after the setting and drying time in each simulated temperature range include:

[0055] The cloth setting and drying stage is divided into four main stages: preheating stage, setting stage, drying stage and cooling stage; the sequence of these four stages is set to u∈{1,2,3,4}, where:

[0056] u=1 indicates the preheating stage; u=2 indicates the setting stage; u=3 indicates the drying stage; u=4 indicates the cooling stage;

[0057] Instructions for the warm-up phase:

[0058] Thermal expansion and contraction characteristics: During the preheating stage, the fabric begins to be exposed to the heating environment, and the temperature gradually rises, causing the molecular movement within the fiber material to increase. At this time, the thermal expansion and contraction characteristics of the fabric are manifested as a dimensional change of less than 3%, which is mainly due to the evaporation of moisture in the material and slight expansion.

[0059] Target tension range: Since this stage is mainly to allow the fabric to adapt to temperature changes, the tension range is maintained within a safe initial range to prevent material damage due to thermal stress. The initial range is determined based on experimental data.

[0060] Description of the finalization phase:

[0061] Thermal expansion and contraction characteristics: During the shaping stage, the temperature of the fabric reaches the peak value required by the design, and the fibers begin to undergo plastic deformation, with obvious thermal expansion characteristics. At this time, as the temperature rises, the size of the fabric expands, and the thermal expansion and contraction characteristics are enhanced.

[0062] Target tension range: Since the fabric needs to maintain a certain tension during this stage to ensure its shape, the target tension range is set at a high level to prevent excessive deformation of the fabric that could affect subsequent processes. Tension control at this stage is critical and must be matched to the actual thermal expansion and contraction characteristics to ensure the final quality of the fabric.

[0063] Instructions for the drying phase:

[0064] Thermal expansion and contraction characteristics: During the drying stage, the temperature of the cloth gradually decreases, and the evaporation of moisture in the cloth causes the fibers to shrink. At this time, the thermal expansion and contraction characteristics manifest as a decrease in the size of the cloth;

[0065] Target tension range: As the moisture content decreases, the shrinkage of the cloth will cause changes in internal tension. The target tension range needs to be adjusted accordingly to adapt to the shrinkage characteristics of the cloth. At this time, the target tension range is lowered to prevent tension concentration caused by excessive shrinkage, which in turn causes damage to the cloth.

[0066] Notes on the cooling phase:

[0067] Thermal expansion and contraction characteristics: During the cooling stage, the cloth suddenly drops from a higher temperature to room temperature. The cooling rate and temperature change rate are important factors affecting its dimensional changes. At this time, the thermal expansion and contraction characteristics manifest as contraction because the fiber will shrink rapidly during the rapid cooling process.

[0068] Target tension range: During the cooling process, the tension range needs to be further adjusted to adapt to the shrinkage characteristics of the fabric; at this time, the target tension range needs to be lowered to maintain the stability of the fabric during the cooling process and avoid tearing or deformation caused by excessive tension.

[0069] For each setting and drying stage u, determine its simulation temperature range based on pre-test data and literature, and record it as [Tu,min,Tu,max], where Tu,min and Tu,max are the minimum and maximum temperatures of each stage, respectively. The specific steps are as follows:

[0070] Collect historical processing data of different fabrics at each stage, including temperature, time and tension changes;

[0071] Through data analysis, the minimum temperature Tu,min and the maximum temperature Tu,max of each stage are selected to ensure that these two values ​​can effectively reflect the thermal expansion and contraction characteristics of the fabric;

[0072] Determine the corresponding setting and drying time Htu for each setting and drying stage u; the steps are as follows:

[0073] By analyzing the physical properties of the cloth material, the optimal drying time for each stage is determined;

[0074] Conduct experiments to measure the tension changes of the fabric at different time intervals to find the optimal setting time;

[0075] For each stage u, perform a shaping and drying simulation within the simulated temperature range. The steps are as follows:

[0076] According to the simulated temperature range [Tu,min, Tu,max] and the setting drying time Htu set for each setting drying stage, a controllable drying equipment is built in the laboratory;

[0077] Conduct multiple experiments to record the thermal expansion and contraction characteristics of fabrics under different simulated conditions, including dimensional and tension change data;

[0078] Divide the simulation temperature range [Tu,min, Tu,max] of each shaping and drying stage u into several temperature simulation points to form a temperature set sequence {Tu,1,Tu,2,…,Tu,i,…,Tu,n}, where Tu,i represents the index of the i-th temperature simulation point in the u-th shaping and drying stage, and Tu,1 and Tu,n represent the minimum temperature Tu,min and the maximum temperature Tu,max, respectively;

[0079] The thermal expansion and contraction characteristics of the i-th temperature simulation point in the u-th setting and drying stage are recorded as

[0080]

[0081] The target tension range of the u-th setting and drying stage is recorded as [ZLu,min, ZLu,max], where ZLu,min and ZLu,max are the minimum and maximum target tensions of the u-th setting and drying stage respectively; and the target tension of the i-th temperature simulation point in the u-th setting and drying stage is recorded as and and They represent the minimum tension ZLu,min and the maximum tension ZLu,max respectively.

[0082] Further explanation: calculate the average value of the first fiber length in the temperature set sequence in the u-th setting and drying stage, and record the average value of the first fiber length in the u-th setting and drying stage as The calculation formula is as follows:

[0083]

[0084] Calculate the fiber length change rate in the temperature set sequence during the u-th setting and drying stage. The fiber length change rate during the u-th setting and drying stage is recorded as Yu. The calculation formula is as follows:

[0085]

[0086] Further calculate the first fiber length change trend coefficient of the fiber length at two adjacent temperature simulation points i+1 and i in the temperature set sequence in the u-th setting and drying stage, and record the first fiber length change trend coefficient as BQ1u. The calculation formula is as follows:

[0087]

[0088] Where n represents the total number of temperature simulation points in the corresponding temperature set sequence. The larger the value of i, the higher the temperature value of the corresponding temperature simulation point. ΔLu is the length change of the cloth caused by the simulated temperature range [Tu,min,Tu,max] in the u-th setting and drying stage. They represent the fiber lengths of the cloth corresponding to the minimum temperature Tu,min and the maximum temperature Tu,max of the thermal expansion and contraction characteristics of the u-th setting and drying stage within the simulated temperature range; are the cloth fiber lengths corresponding to adjacent temperature simulation points i+1 and i in the u-th setting and drying stage.

[0089] According to the simulated temperature range [Tu,min,Tu,max] of the finalizing and drying stage u, the temperature value of the first partition is determined to be Further, the average value of the first fiber length in the u-th setting and drying stage is and Make one-to-one associations; The value range is from 0 to 1;

[0090] The simulated temperature range Divided into the first left temperature zone, Divided into the first right temperature zone.

[0091] Further explanation: calculate the second tension average value of the target tension in the temperature set sequence in the u-th shaping and drying stage, and record the second tension average value of the u-th shaping and drying stage as The calculation formula is as follows:

[0092]

[0093] Further calculate the second tension change trend coefficient of the target tension in the temperature set sequence in the u-th shaping and drying stage, and record the second tension change trend coefficient in the u-th shaping and drying stage as BQ2u. The calculation formula is as follows:

[0094]

[0095] in, are the target tensions corresponding to adjacent temperature simulation points i+1 and i in the u-th shaping and drying stage;

[0096] According to the simulated temperature range [Tu,min, Tu,max[ of the shaping and drying stage u, the temperature value of the second partition is determined to be Further, the second tension average value of the u-th shaping and drying stage and Make one-to-one associations; The value range is from 0 to 1;

[0097] The simulated temperature range Divided into the second left temperature zone, Divided into the second right temperature zone.

[0098] Further explanation: determining the relative position of the working temperature of the current cloth to be processed in different shaping and drying stages and the corresponding first zone temperature value, and obtaining the actual working temperature range of the cloth to be processed in different shaping and drying stages, specifically includes:

[0099] The real-time thermal expansion and contraction characteristics of the current cloth to be processed at different shaping and drying stages are recorded as Where T u,i1 ∈{T u,1 ,T u,2 ,…,T u,n};

[0100] Will and By analyzing in a ratio manner, we obtain the following calculation formula for the ratio A1:

[0101]

[0102] If A1≥1, it means And the temperature value of the cloth to be processed at different shaping and drying stages is in the first right temperature zone

[0103] If A1<1, it means And the temperature value of the cloth to be processed at different shaping and drying stages is in the first left temperature zone The first left temperature zone and the first right temperature zone constitute the actual operating temperature range.

[0104] Further description, based on the actual operating temperature range and the first fiber length variation trend coefficient, the first fiber length average value is corrected to obtain the corrected first fiber length average value, specifically including:

[0105] The average value of the corrected first fiber length in the u-th setting and drying stage is recorded as The calculation formula is as follows:

[0106]

[0107] Further explanation: the actual working temperature range of the cloth to be processed in different shaping and drying stages is compared and analyzed with the corresponding second zone temperature value to obtain the target tension range prediction value of the cloth to be processed in different shaping and drying stages, specifically including:

[0108] The actual working temperature range of the u-th shaping and drying stage is compared with the temperature value of the second partition By comparative analysis, the following target tension range prediction values ​​for different setting and drying stages are obtained:

[0109] like When , it means that on the basis of the increase in the thermal expansion and contraction characteristics corresponding to the increase in the fiber length of the cloth, the temperature value of the first partition is greater than or equal to the temperature value of the second partition, which will cause the target tension range prediction value of the u-th setting and drying stage to have a first-order increasing trend, specifically:

[0110]

[0111] in, is the target tension range prediction value of the u-th shaping and drying stage; η1 is the adjustment coefficient; η1 is determined by the expert group through experimental analysis; in this embodiment, η1 is 0.9;

[0112] like When , it means that on the basis of the increase in the thermal expansion and contraction characteristics corresponding to the increase in the fiber length of the cloth, the temperature value of the first partition is lower than the temperature value of the second partition, which will cause the target tension range prediction value of the u-th setting and drying stage to have a secondary increasing trend, and the primary increasing trend is greater than the secondary increasing trend. Specifically:

[0113]

[0114] Wherein, η2 is the adjustment coefficient, η1>η2; η2 is determined by the expert group through experimental analysis; in this embodiment, η2 is set to 0.75;

[0115] like When , it means that on the basis of the thermal expansion and contraction characteristics corresponding to the decrease in the fiber length of the cloth, the temperature value of the first partition is greater than or equal to the temperature value of the second partition, which will cause the target tension range prediction value of the u-th setting and drying stage to have a first-order decreasing trend, specifically:

[0116]

[0117] Wherein, η3 is an adjustment coefficient; η3 is determined by an expert group through experimental analysis; in this embodiment, η3 is set to 0.71;

[0118] like When , it means that on the basis of the thermal expansion and contraction characteristics corresponding to the decrease in cloth fiber length, the temperature value of the first partition is lower than the temperature value of the second partition, which will cause the target tension range prediction value of the u-th setting and drying stage to have a secondary decreasing trend, and the primary decreasing trend is smaller than the secondary decreasing trend, specifically:

[0119]

[0120] Wherein, η4 is an adjustment coefficient, η3<η4. η3 is determined by an expert group through experimental analysis; in this embodiment, η3 is set to 0.89.

[0121] Further, the second tension average value is corrected according to the target tension range prediction value and the second tension change trend coefficient to obtain the corrected second tension average value, specifically including:

[0122] The average value of the second tension after correction in the u-th shaping and drying stage is recorded as The calculation formula is as follows:

[0123]

[0124] Further explanation: the correlation adjustment coefficient is comprehensively generated, and the correlation adjustment coefficient is used to provide an adjustment control strategy for the target tension range prediction value of the current cloth to be processed in different shaping and drying stages, specifically including:

[0125] The ratio between the average value of the first fiber length corrected in the u-th setting and drying stage and the average value of the second tension is calculated and recorded as C1u. The calculation formula is as follows:

[0126]

[0127] The value range of C1u is (0, 1). Based on the expert group system or experimental demonstration, the judgment threshold of C1u is set to C1u,th, and the value range of C1u,th is (0.12, 0.84). In this embodiment, the value of C1u,th is set to 0.66.

[0128] If C1u≥C1u,th, for The following adjustment control strategies are provided:

[0129]

[0130] If C1u<C1u,th, for The following adjustment control strategies are provided:

[0131]

[0132] in, represents the target tension range prediction value of the adjusted control strategy in the u-th shaping and drying stage, and tz represents the semantic abbreviation of the adjusted control strategy; μ1 and μ2 are the correction coefficients under the corresponding adjusted control strategy respectively;

[0133] According to the target tension range prediction value obtained by adjusting the control strategy above Use the tension adjustment device to adjust the target tension of the cloth at different stages of shaping and drying until the target tension range prediction value is reached. The tension adjusting device is a tension adjusting roller in the prior art; the specific tension adjusting steps include:

[0134] When the actual tension value of the cloth at different shaping and drying stages is different from the target tension range prediction value When deviations occur, the control system automatically adjusts:

[0135] If the actual tension is lower than the target value, the system will compensate by increasing the tension, specifically by adjusting the pressure of the tension adjustment roller or increasing the feed speed;

[0136] If the actual tension is higher than the target value, the system will reduce the tension by reducing the pressure of the tension adjustment roller or slowing down the feed speed to control the tension level;

[0137] Continue to adjust the tension until the actual tension of the cloth is stable within the preset target tension range; this process requires multiple adjustments to ensure the accuracy and stability of the tension;

[0138] When u=1, it is the preheating stage.

[0139] When u=2, it is the finalization stage.

[0140] When u=3 is the drying stage,

[0141] When u=4, it is the cooling stage.

[0142] Example 2:

[0143] See also Figure 2 A tension prediction and control system for a cloth printing and dyeing process, the system being used to implement the tension prediction and control method for a cloth printing and dyeing process, comprising:

[0144] Data division and collection module: used to divide the fabric's shaping and drying stages to form a stage sequence set of different shaping and drying stages, determine the simulated temperature range and shaping and drying time of the fabric in each shaping and drying stage; perform shaping and drying simulations on the fabric to be processed in different shaping and drying stages under the corresponding simulated temperature range, and collect the thermal expansion and contraction characteristics and target tension range of the fabric to be processed under each simulated temperature range and after the shaping and drying time;

[0145] A first calculation module is used to calculate the first fiber length average value and the first fiber length change trend coefficient corresponding to the thermal expansion and contraction characteristics in each simulated temperature range, and associate the first fiber length average value with the corresponding first partition temperature value. The first partition temperature value is used to divide the simulated temperature range into partitions;

[0146] A second calculation module is used to calculate the second tension average value and the second tension change trend coefficient corresponding to the target tension range in each simulation temperature range, and associate the second tension average value with the corresponding second partition temperature value, and the second partition temperature value is used to divide the simulation temperature range into partitions;

[0147] The first comparison and analysis module is used to obtain the real-time thermal expansion and contraction characteristics of the current cloth to be processed in different shaping and drying stages, compare and analyze the real-time thermal expansion and contraction characteristics with the average value of the first fiber length, so as to determine the relative position of the working temperature of the current cloth to be processed in different shaping and drying stages and the temperature value of the corresponding first partition, and obtain the actual working temperature range of the cloth to be processed in different shaping and drying stages;

[0148] A first correction module is used to correct the first fiber length average value according to the actual operating temperature range and the first fiber length change trend coefficient to obtain a corrected first fiber length average value;

[0149] The second comparison and analysis module is used to compare and analyze the actual working temperature range of the cloth to be processed in different shaping and drying stages with the corresponding second zone temperature value, and obtain the target tension range prediction value of the cloth to be processed in different shaping and drying stages;

[0150] A second correction module is used to correct the second tension average value according to the target tension range prediction value and the second tension change trend coefficient to obtain a corrected second tension average value;

[0151] Correlation adjustment coefficient generation module: used to combine the corrected first fiber length average value with the second tension average value for correlation analysis, and comprehensively generate a correlation adjustment coefficient. The correlation adjustment coefficient is used to provide an adjustment control strategy for the target tension range prediction value of the current cloth to be processed in different shaping and drying stages.

[0152] The above formulas are all dimensionless and numerical calculations. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formulas are set by technicians in this field according to actual conditions.

[0153] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed by hardware or software depends on the specific application and design constraints of the technical solution.

[0154] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, and may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment as needed.

[0155] The above is only a specific implementation method of the present application, but the scope of protection of the present application is not limited thereto. Any technician familiar with this technical field can easily think of changes or replacements within the technical scope disclosed in this application, which should be covered by the scope of protection of the present application.

Claims

1. A method for predicting and controlling tension in a cloth printing and dyeing process, the method comprising a setting and drying stage of the cloth in the printing and dyeing process, characterized in that: The specific steps include: Step S1: Divide the setting and drying stages of the cloth to form a stage sequence set of different setting and drying stages, determine the simulated temperature range and setting and drying time of the cloth in each setting and drying stage; perform setting and drying simulations on the cloth to be processed in different setting and drying stages under the corresponding simulated temperature ranges, and collect the thermal expansion and contraction characteristics and target tension range of the cloth to be processed under each simulated temperature range and after the setting and drying time; Step S2: Calculate the first fiber length average value and the first fiber length variation trend coefficient corresponding to the thermal expansion and contraction characteristics within each simulated temperature range in step S1, and associate the first fiber length average value with the corresponding first partition temperature value. The first partition temperature value is used to partition the simulated temperature range. Step S3: Calculating the second tension average value and the second tension variation trend coefficient corresponding to the target tension range in each simulated temperature range in step S1, and associating the second tension average value with the corresponding second zone temperature value; Step S4: obtaining the real-time thermal expansion and contraction characteristics of the current cloth to be processed in different shaping and drying stages, and comparing and analyzing the real-time thermal expansion and contraction characteristics with the average value of the first fiber length to determine the relative position of the working temperature of the current cloth to be processed in different shaping and drying stages and the temperature value of the corresponding first partition, thereby obtaining the actual working temperature range of the cloth to be processed in different shaping and drying stages; Step S5: Correcting the first fiber length average value according to the actual operating temperature range and the first fiber length variation trend coefficient to obtain a corrected first fiber length average value; Step S6: comparing and analyzing the actual operating temperature range of the cloth to be processed in different shaping and drying stages in step S4 with the corresponding second zone temperature value, to obtain a predicted value of the target tension range of the cloth to be processed in different shaping and drying stages; Step S7: Correcting the second tension average value according to the target tension range prediction value and the second tension change trend coefficient to obtain a corrected second tension average value; Step S8: Perform correlation analysis on the corrected first fiber length average value and the second tension average value to comprehensively generate a correlation adjustment coefficient, which is used to provide an adjustment control strategy for the target tension range prediction value of the current cloth to be processed in different shaping and drying stages.

2. The method for predicting and controlling tension in a cloth printing and dyeing process according to claim 1, wherein: The thermal expansion and contraction characteristics and target tension range of the fabric to be processed after the setting and drying time in each simulated temperature range include: The cloth setting and drying stage is divided into four main stages: preheating stage, setting stage, drying stage and cooling stage; the sequence of these four stages is set as u∈{1,2,3,4}, where u=1 represents the preheating stage; u=2 represents the setting stage; u=3 represents the drying stage; and u=4 represents the cooling stage. For each setting and drying stage u, its simulation temperature range is determined according to the previous experimental data and literature data, and is recorded as [Tu,min,Tu,max[, Tu,min and Tu,max are the minimum and maximum temperature values ​​of each stage respectively; Determine the corresponding setting and drying time Htu for each setting and drying stage u; The simulation temperature range of each setting and drying stage u is divided into several temperature simulation points to form a temperature set sequence {Tu,1,Tu,2,…,Tu,i,…,Tu,n}, where Tu,i represents the index of the i-th temperature simulation point in the u-th setting and drying stage, and Tu,1 and Tu,n represent the minimum temperature Tu,min and the maximum temperature Tu,max, respectively; The thermal expansion and contraction characteristics of the i-th temperature simulation point in the u-th setting and drying stage are recorded as The target tension range of the u-th setting and drying stage is recorded as [ZLu,min, ZLu,max], where ZLu,min and ZLu,max are the minimum and maximum target tensions of the u-th setting and drying stage respectively; and the target tension of the i-th temperature simulation point in the u-th setting and drying stage is recorded as and and They represent the minimum tension ZLu,min and the maximum tension ZLu,max respectively.

3. The method for predicting and controlling tension in a cloth printing and dyeing process according to claim 2, wherein: Calculate the average value of the first fiber length in the temperature set sequence during the u-th setting and drying stage, and record the average value of the first fiber length during the u-th setting and drying stage as The calculation formula is as follows: Calculate the fiber length change rate in the temperature set sequence during the u-th setting and drying stage. The fiber length change rate during the u-th setting and drying stage is recorded as Yu. The calculation formula is as follows: Further calculate the first fiber length change trend coefficient of the fiber length at two adjacent temperature simulation points i+1 and i in the temperature set sequence in the u-th setting and drying stage, and record the first fiber length change trend coefficient as BQ1u. The calculation formula is as follows: Where n represents the total number of temperature simulation points in the corresponding temperature set sequence, ΔLu is the length change of the cloth in the u-th setting and drying stage caused by the simulated temperature range pTu,min, Tu,max[; They represent the fiber lengths of the cloth corresponding to the minimum temperature Tu,min and the maximum temperature Tu,max of the thermal expansion and contraction characteristics of the u-th setting and drying stage within the simulated temperature range; are the cloth fiber lengths corresponding to the adjacent temperature simulation points i+1 and i in the u-th setting and drying stage; According to the simulated temperature range pTu,min, Tu,max[ of the shaping and drying stage u, the temperature value of the first partition is determined to be Further, the average value of the first fiber length in the u-th setting and drying stage is and Make one-to-one associations; The simulated temperature range Divided into the first left temperature zone, Divided into the first right temperature zone.

4. The method for predicting and controlling tension in a cloth printing and dyeing process according to claim 3, wherein: Calculate the second tension average value of the target tension in the temperature set sequence during the u-th shaping and drying stage, and record the second tension average value of the u-th shaping and drying stage as The calculation formula is as follows: Further calculate the second tension change trend coefficient of the target tension in the temperature set sequence in the u-th shaping and drying stage, and record the second tension change trend coefficient in the u-th shaping and drying stage as BQ2u. The calculation formula is as follows: in, are the target tensions corresponding to adjacent temperature simulation points i+1 and i in the u-th shaping and drying stage; According to the simulated temperature range pTu,min, Tu,max[ of the shaping and drying stage u, the temperature value of the second partition is determined to be Further, the second tension average value of the u-th shaping and drying stage and Make a one-to-one association.

5. The method for predicting and controlling tension in a cloth printing and dyeing process according to claim 4, characterized in that: Determine the relative position of the working temperature of the current cloth to be processed in different shaping and drying stages and the corresponding first zone temperature value, and obtain the actual working temperature range of the cloth to be processed in different shaping and drying stages, specifically including: The real-time thermal expansion and contraction characteristics of the current cloth to be processed at different shaping and drying stages are recorded as Among them Tu,i1∈{Tu,1,Tu,2,…,Tu,n}; Will and By analyzing in a ratio manner, we obtain the following calculation formula for the ratio A1: If A1≥1, it means And the temperature value of the cloth to be processed at different shaping and drying stages is in the first right temperature zone If A1<1, it means And the temperature value of the cloth to be processed at different shaping and drying stages is in the first left temperature zone The first left temperature zone and the first right temperature zone constitute the actual operating temperature range.

6. The method for predicting and controlling tension in a cloth printing and dyeing process according to claim 5, characterized in that: According to the actual operating temperature range and the first fiber length variation trend coefficient, the first fiber length average value is corrected to obtain a corrected first fiber length average value, specifically including: The average value of the corrected first fiber length in the u-th setting and drying stage is recorded as The calculation formula is as follows:

7. The method for predicting and controlling tension in a cloth printing and dyeing process according to claim 6, wherein: Compare and analyze the actual working temperature range of the cloth to be processed in different shaping and drying stages with the corresponding second zone temperature value to obtain the target tension range prediction value of the cloth to be processed in different shaping and drying stages, specifically including: The actual working temperature range of the u-th shaping and drying stage is compared with the temperature value of the second partition By comparing and analyzing, we can get the following predicted values ​​of target tension ranges under different setting and drying stages: like When , it means that on the basis of the increase in the thermal expansion and contraction characteristics corresponding to the increase in the fiber length of the cloth, the temperature value of the first partition is greater than or equal to the temperature value of the second partition, which will cause the target tension range prediction value of the u-th setting and drying stage to have a first-order increasing trend, specifically: in, is the target tension range prediction value of the u-th shaping and drying stage; η1 is the adjustment coefficient; like When , it means that on the basis of the increase in the thermal expansion and contraction characteristics corresponding to the increase in the fiber length of the cloth, the temperature value of the first partition is lower than the temperature value of the second partition, which will cause the target tension range prediction value of the u-th setting and drying stage to have a secondary increasing trend, and the primary increasing trend is greater than the secondary increasing trend, specifically: Among them, η2 is the adjustment coefficient, η1>η2; like When , it means that on the basis of the thermal expansion and contraction characteristics corresponding to the decrease in the fiber length of the cloth, the temperature value of the first partition is greater than or equal to the temperature value of the second partition, which will cause the target tension range prediction value of the u-th setting and drying stage to have a first-order decreasing trend, specifically: Among them, η3 is the adjustment coefficient; like When , it means that on the basis of the thermal expansion and contraction characteristics corresponding to the decrease in cloth fiber length, the temperature value of the first partition is lower than the temperature value of the second partition, which will cause the target tension range prediction value of the u-th setting and drying stage to have a secondary decreasing trend, and the primary decreasing trend is smaller than the secondary decreasing trend, specifically: Among them, η4 is the adjustment coefficient, η3<η4.

8. The method for predicting and controlling tension in a cloth printing and dyeing process according to claim 7, wherein: According to the target tension range prediction value and the second tension change trend coefficient, the second tension average value is corrected to obtain a corrected second tension average value, specifically including: The average value of the second tension after correction in the u-th shaping and drying stage is recorded as The calculation formula is as follows:

9. The method for predicting and controlling tension in a cloth printing and dyeing process according to claim 8, characterized in that: Comprehensively generate correlation adjustment coefficients, which are used to provide adjustment control strategies for the target tension range prediction values ​​of the current cloth to be processed at different shaping and drying stages, including: The ratio between the average value of the first fiber length corrected in the u-th setting and drying stage and the average value of the second tension is calculated and recorded as C1u. The calculation formula is as follows: The value range of C1u is (0,1). Based on the expert group system or experimental demonstration, the judgment threshold of C1u is set to C1u,th, and the value of C1u,th is limited to the range of (0.12, 0.84); If C1u≥C1u,th, for The following adjustment control strategies are provided: If C1u<C1u,th, for The following adjustment control strategies are provided: in, represents the predicted value of the target tension range after adjusting the control strategy in the u-th shaping and drying stage, μ1 and μ2 are the correction coefficients under the corresponding adjusted control strategy.

10. A tension prediction and control system for cloth printing and dyeing process, characterized by: The system is used to implement the tension prediction and control method in the cloth printing and dyeing process according to any one of claims 1 to 9, comprising: Data division and collection module: used to divide the fabric's shaping and drying stages to form a stage sequence set of different shaping and drying stages, determine the simulated temperature range and shaping and drying time of the fabric in each shaping and drying stage; perform shaping and drying simulations on the fabric to be processed in different shaping and drying stages under the corresponding simulated temperature range, and collect the thermal expansion and contraction characteristics and target tension range of the fabric to be processed under each simulated temperature range and after the shaping and drying time; A first calculation module is used to calculate the first fiber length average value and the first fiber length change trend coefficient corresponding to the thermal expansion and contraction characteristics in each simulated temperature range, and associate the first fiber length average value with the corresponding first partition temperature value. The first partition temperature value is used to divide the simulated temperature range into partitions; A second calculation module is used to calculate the second tension average value and the second tension change trend coefficient corresponding to the target tension range in each simulation temperature range, and associate the second tension average value with the corresponding second zone temperature value; The first comparison and analysis module is used to obtain the real-time thermal expansion and contraction characteristics of the current cloth to be processed in different shaping and drying stages, compare and analyze the real-time thermal expansion and contraction characteristics with the average value of the first fiber length, so as to determine the relative position of the working temperature of the current cloth to be processed in different shaping and drying stages and the temperature value of the corresponding first partition, and obtain the actual working temperature range of the cloth to be processed in different shaping and drying stages; A first correction module is used to correct the first fiber length average value according to the actual operating temperature range and the first fiber length change trend coefficient to obtain a corrected first fiber length average value; The second comparison and analysis module is used to compare and analyze the actual working temperature range of the cloth to be processed in different shaping and drying stages with the corresponding second zone temperature value, and obtain the target tension range prediction value of the cloth to be processed in different shaping and drying stages; A second correction module is used to correct the second tension average value according to the target tension range prediction value and the second tension change trend coefficient to obtain a corrected second tension average value; Correlation adjustment coefficient generation module: used to combine the corrected first fiber length average value with the second tension average value for correlation analysis, and comprehensively generate a correlation adjustment coefficient. The correlation adjustment coefficient is used to provide an adjustment control strategy for the target tension range prediction value of the current cloth to be processed in different shaping and drying stages.

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