Fabric tensile strength detection method and system

Abstract

The invention discloses a fabric tensile strength detection method and system, and relates to the technical field of fabric detection.The method comprises the steps that a double-face clamping device is used for clamping the two ends of a fabric to be detected; applying a drawing force to the to-be-detected fabric through an electric drawing device according to the obtained drawing parameters; monitoring the stretching state of the fabric to be detected in real time by using an integrated sensor mounted on an electric stretching device; the stretching state data of the to-be-detected fabric is transmitted to a data processing unit, and the data processing unit dynamically adjusts stretching parameters of the electric stretching device according to an analysis result of the stretching state data of the to-be-detected fabric; a PID control algorithm and an adaptive control algorithm are stored in the data processing unit. The efficiency of detecting the tensile strength of the fabric to be detected is improved.

Description

Technical Field

[0001] The present application relates to the technical field of fabric detection, and in particular to a fabric tensile strength detection method and system. Background Art

[0002] In the textile industry, the tensile strength of fabrics is one of the important indicators to measure their quality and performance. Tensile strength refers to the maximum tensile force that a fabric can withstand without breaking when stretched by an external force. This performance is crucial to predicting the durability and reliability of a fabric during use.

[0003] However, traditional detection methods often rely on manual operation, which is not only inefficient but also easily affected by the operator's experience and skills, making it difficult to ensure the consistency and accuracy of the test results.

[0004] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0005] The embodiments of the present application provide a fabric tensile strength detection method and system to solve the above-mentioned technical problems.

[0006] The present application provides a method for testing the tensile strength of fabrics, comprising: Use a double-sided clamping device to clamp both ends of the fabric to be tested; Applying a stretching force to the fabric to be tested according to the obtained stretching parameters by an electric stretching device; Using an integrated sensor installed on the electric stretching device to monitor the stretching state of the fabric to be tested in real time; The stretching state data of the fabric to be detected is transmitted to a data processing unit, and the data processing unit dynamically adjusts the stretching parameters of the electric stretching device according to the analysis results of the stretching state data of the fabric to be detected; wherein the data processing unit stores a PID control algorithm and an adaptive control algorithm.

[0007] Furthermore, dynamically adjusting the stretching parameters of the electric stretching device according to the analysis result of the stretching state data of the fabric to be detected includes: Initializing stretching parameters; wherein the stretching parameters include stretching speed, stretching strength and stretching time; Collecting real-time stretching state data of the fabric to be tested through the integrated sensor; Repeat the following steps until the tensile state data of the fabric to be tested meets the fracture tendency condition: According to the real-time stretching state data of the fabric to be detected, a PID control algorithm is used to adjust the stretching parameters of the electric stretching device by combining the three links of proportion, integration and differentiation, and the adjusted stretching parameters are sent to the electric stretching device; wherein the proportion link is used to adjust the stretching parameters of the electric stretching device according to the current stretching deviation; the integration link is used to accumulate the stretching deviations of all the past time, and adjust the stretching parameters of the electric stretching device according to the accumulated total; the differentiation link is used to predict the future change trend of the stretching deviation, and adjust the stretching parameters of the electric stretching device according to the change rate of the stretching deviation; Using the adaptive control algorithm, the parameters of the proportional link, the parameters of the integral link and the parameters of the differential link are optimized according to the real-time stretching parameters of the electric stretching device, the real-time stretching state data of the fabric to be detected and the characteristics of the fabric to be detected; When the stretching state data of the fabric to be tested meets the breaking tendency condition, the breaking stretching parameter of the electric stretching device is determined; wherein the breaking stretching parameter is used to determine the test result of the tensile strength of the fabric to be tested.

[0008] The present application provides a fabric tensile strength testing system, comprising: Double-sided clamping device, used to clamp both ends of the fabric to be tested; An electric stretching device, connected to the double-sided clamping device, for applying a stretching force to the fabric to be tested according to the obtained stretching parameters; An integrated sensor, installed on the electric stretching device, for real-time monitoring of the stretching state of the fabric to be tested; A data processing unit is connected to the integrated sensor, and is used to dynamically adjust the stretching parameters of the electric stretching device according to the analysis results of the stretching state data of the fabric to be detected; wherein the data processing unit stores a PID control algorithm and an adaptive control algorithm.

[0009] Furthermore, the data processing unit dynamically adjusts the stretching parameters of the electric stretching device according to the analysis results of the stretching state data of the fabric to be detected, and is configured as follows: Initializing stretching parameters; wherein the stretching parameters include stretching speed, stretching strength and stretching time; Collecting real-time stretching state data of the fabric to be tested through the integrated sensor; Repeat the following steps until the tensile state data of the fabric to be tested meets the fracture tendency condition: According to the real-time stretching state data of the fabric to be detected, a PID control algorithm is used to adjust the stretching parameters of the electric stretching device by combining the three links of proportion, integration and differentiation, and the adjusted stretching parameters are sent to the electric stretching device; wherein the proportion link is used to adjust the stretching parameters of the electric stretching device according to the current stretching deviation; the integration link is used to accumulate the stretching deviations of all the past time, and adjust the stretching parameters of the electric stretching device according to the accumulated total; the differentiation link is used to predict the future change trend of the stretching deviation, and adjust the stretching parameters of the electric stretching device according to the change rate of the stretching deviation; Using the adaptive control algorithm, the parameters of the proportional link, the parameters of the integral link and the parameters of the differential link are optimized according to the real-time stretching parameters of the electric stretching device, the real-time stretching state data of the fabric to be detected and the characteristics of the fabric to be detected; When the stretching state data of the fabric to be tested meets the breaking tendency condition, the breaking stretching parameter of the electric stretching device is determined; wherein the breaking stretching parameter is used to determine the test result of the tensile strength of the fabric to be tested.

[0010] Further, after the data processing unit sends the adjusted stretching parameters to the electric stretching device, the electric stretching device applies corresponding stretching force to the fabric to be detected according to the adjusted stretching parameters.

[0011] Furthermore, the output formula of the PID control algorithm is: ; in, It's in time moment, the data processing unit sends a control signal to the electric stretching device, wherein the control signal is used to adjust the stretching parameters of the electric stretching device; is a proportional gain, used to adjust the response speed of the control signal to the real-time stretch deviation of the fabric to be detected, wherein the real-time stretch deviation is the difference between the target stretch strength and the actual stretch strength; It's in time The stretch deviation at the moment; is the integral gain, which is used to accumulate the stretch deviation of all past times to eliminate the long-term deviation. is the integration time constant; is the integral term of the stretched deviation over all past times, is the integration variable, Indicates the fabric to be tested at time The tensile deviation, Calculate the time from the start time to the At that moment, the cumulative sum of all stretching deviations; is the differential gain, which is used to predict the future trend of stretch deviation; It is the rate of change of the tensile deviation, which is used to indicate how fast the tensile deviation changes over time.

[0012] Furthermore, the parameters of the proportional link are The parameters of the integration link are And the parameters of the differential link are The data processing unit uses the adaptive control algorithm to optimize the parameters of the proportional link, the integral link and the differential link according to the real-time stretching parameters of the electric stretching device, the real-time stretching state data of the fabric to be detected and the characteristics of the fabric to be detected, and is configured as follows: updating the estimated value of the characteristic of the fabric to be detected in real time; Based on the estimated value of the characteristic of the fabric to be detected, the real-time stretching parameter of the electric stretching device and the real-time stretching state data of the fabric to be detected, the model reference adaptive control strategy is adopted to update ; ; ; ; in, express The amount of change; express The amount of change; express The amount of change; , All are adjustment factors; It's in time The stretch deviation at the moment; is the rate of change of tensile deviation; is the integral term of the stretched deviation over all past times.

[0013] Furthermore, the estimated value of the characteristic of the fabric to be detected is updated in real time based on the following formula: ; in, is the estimated value of the characteristic of the fabric to be tested at time k; It's in time At the moment, an estimated value of the characteristic of the fabric to be detected; It is the forgetting factor; The real-time stretching parameters of the electric stretching device and the real-time stretching state data of the fabric to be tested output by the fabric tensile strength detection system; is the regressor; is the transpose of the regressor.

[0014] Furthermore, the fracture tendency condition includes one or more of the following conditions: the fabric to be tested undergoes tensile deformation, the fabric to be tested reaches a preset elongation, and the stress of the fabric to be tested reaches a preset value.

[0015] Furthermore, the fabric tensile strength detection system also includes: A user interface is connected to the data processing unit and is used to display the test result of the tensile strength of the fabric to be tested.

[0016] Based on the embodiment provided by the present application, a double-sided clamping device is used to clamp the two ends of the fabric to be tested; a stretching force is applied to the fabric to be tested by an electric stretching device according to the obtained stretching parameters; the stretching state of the fabric to be tested is monitored in real time by an integrated sensor installed on the electric stretching device; the stretching state data of the fabric to be tested is transmitted to a data processing unit, and the data processing unit dynamically adjusts the stretching parameters of the electric stretching device according to the analysis results of the stretching state data of the fabric to be tested; wherein the data processing unit stores a PID control algorithm and an adaptive control algorithm. Thus, the tensile strength of the fabric to be tested is automatically detected, the efficiency of detecting the tensile strength of the fabric to be tested is improved, and the consistency and accuracy of detecting the tensile strength of the fabric to be tested are improved. Specifically, the invention has the following beneficial effects: a double-sided clamping device is used to clamp the two ends of the fabric to be tested, so as to ensure the stability and consistency of the fabric during the test and avoid the test error caused by improper clamping; a stretching force is applied to the fabric to be tested according to the obtained stretching parameters by an electric stretching device, so as to realize the automation and precise control of the stretching process and improve the test efficiency and accuracy; an integrated sensor installed on the electric stretching device is used to monitor the stretching state of the fabric to be tested in real time, so as to timely capture the subtle changes of the fabric during the stretching process and provide accurate real-time data for subsequent data analysis; the stretching state data of the fabric to be tested is transmitted to a data processing unit, and the stretching parameters of the electric stretching device are dynamically adjusted according to the analysis results, so that the test process can adapt to the actual stretching characteristics of the fabric and improve the flexibility and adaptability of the test; the data processing unit stores a PID control algorithm and an adaptive control algorithm, These algorithms can optimize the stretching parameters of the electric stretching device according to the real-time stretching state data of the fabric, realize intelligent adaptation to the characteristics of different fabrics, and improve the accuracy and reliability of detection; through the above method, the tensile strength of the fabric can be measured more accurately, providing important data support for fabric quality control and product development; the automated testing process reduces the need for manual operation and saves labor costs, while increasing the speed of testing and reducing the waste of materials and time; the method relies on data-driven decision-making, making the test results more objective, reducing the interference of human factors, and improving the repeatability and comparability of the test results; the method can be easily integrated into existing production lines, providing the possibility for real-time quality monitoring, and helping to improve overall production efficiency and product quality; due to the use of advanced control algorithms, the method can operate stably under different environmental conditions, ensuring the consistency of test results. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings described herein are used to provide a further understanding of the embodiments of the present invention and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings: Figure 1 is a flow chart of an optional fabric tensile strength testing method according to an embodiment of the present application; Figure 2 It is a structural diagram of an optional fabric tensile strength detection system according to an embodiment of the present application.

[0018] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0019] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0020] Alternatively, if Figure 1 As shown, the present application provides a method for testing the tensile strength of fabrics, comprising: S101, clamping two ends of the fabric to be tested using a double-sided clamping device; S102, applying a stretching force to the fabric to be tested according to the obtained stretching parameters by an electric stretching device; S103, using an integrated sensor installed on the electric stretching device to monitor the stretching state of the fabric to be tested in real time; S104, transmitting the stretching state data of the fabric to be tested to a data processing unit, and the data processing unit dynamically adjusts the stretching parameters of the electric stretching device according to the analysis results of the stretching state data of the fabric to be tested; wherein the data processing unit stores a PID control algorithm and an adaptive control algorithm.

[0021] Based on the embodiment provided by the present application, a double-sided clamping device is used to clamp the two ends of the fabric to be tested; a stretching force is applied to the fabric to be tested by an electric stretching device according to the obtained stretching parameters; the stretching state of the fabric to be tested is monitored in real time by an integrated sensor installed on the electric stretching device; the stretching state data of the fabric to be tested is transmitted to a data processing unit, and the data processing unit dynamically adjusts the stretching parameters of the electric stretching device according to the analysis results of the stretching state data of the fabric to be tested; wherein the data processing unit stores a PID control algorithm and an adaptive control algorithm. Thus, the tensile strength of the fabric to be tested is automatically detected, the efficiency of detecting the tensile strength of the fabric to be tested is improved, and the consistency and accuracy of detecting the tensile strength of the fabric to be tested are improved. Specifically, the invention has the following beneficial effects: a double-sided clamping device is used to clamp the two ends of the fabric to be tested, so as to ensure the stability and consistency of the fabric during the test and avoid the test error caused by improper clamping; a stretching force is applied to the fabric to be tested according to the obtained stretching parameters by an electric stretching device, so as to realize the automation and precise control of the stretching process and improve the test efficiency and accuracy; an integrated sensor installed on the electric stretching device is used to monitor the stretching state of the fabric to be tested in real time, so as to timely capture the subtle changes of the fabric during the stretching process and provide accurate real-time data for subsequent data analysis; the stretching state data of the fabric to be tested is transmitted to a data processing unit, and the stretching parameters of the electric stretching device are dynamically adjusted according to the analysis results, so that the test process can adapt to the actual stretching characteristics of the fabric and improve the flexibility and adaptability of the test; the data processing unit stores a PID control algorithm and an adaptive control algorithm, These algorithms can optimize the stretching parameters of the electric stretching device according to the real-time stretching state data of the fabric, realize intelligent adaptation to the characteristics of different fabrics, and improve the accuracy and reliability of detection; through the above method, the tensile strength of the fabric can be measured more accurately, providing important data support for fabric quality control and product development; the automated testing process reduces the need for manual operation and saves labor costs, while increasing the speed of testing and reducing the waste of materials and time; the method relies on data-driven decision-making, making the test results more objective, reducing the interference of human factors, and improving the repeatability and comparability of the test results; the method can be easily integrated into existing production lines, providing the possibility for real-time quality monitoring, and helping to improve overall production efficiency and product quality; due to the use of advanced control algorithms, the method can operate stably under different environmental conditions, ensuring the consistency of test results.

[0022] Furthermore, according to the analysis result of the stretching state data of the fabric to be tested, the stretching parameters of the electric stretching device are dynamically adjusted, including: Initialize stretching parameters; wherein the stretching parameters include stretching speed, stretching strength and stretching time; Collect the real-time stretch state data of the fabric to be tested through integrated sensors; Repeat the following steps until the tensile state data of the fabric to be tested meets the fracture tendency condition: According to the real-time stretching state data of the fabric to be tested, the PID control algorithm is used to adjust the stretching parameters of the electric stretching device by combining the three links of proportion, integration and differentiation, and the adjusted stretching parameters are sent to the electric stretching device; wherein, the proportion link is used to adjust the stretching parameters of the electric stretching device according to the current stretching deviation; the integration link is used to accumulate the stretching deviations of all the past time, and adjust the stretching parameters of the electric stretching device according to the accumulated total; the differentiation link is used to predict the future change trend of the stretching deviation, and adjust the stretching parameters of the electric stretching device according to the change rate of the stretching deviation; Using an adaptive control algorithm, the parameters of the proportional link, the integral link and the differential link are optimized according to the real-time stretching parameters of the electric stretching device, the real-time stretching state data of the fabric to be tested and the characteristics of the fabric to be tested; When the tensile state data of the fabric to be tested meets the fracture tendency condition, the fracture tensile parameter of the electric stretching device is determined; wherein the fracture tensile parameter is used to determine the test result of the tensile strength of the fabric to be tested.

[0023] Alternatively, if Figure 2 As shown, the present application provides a fabric tensile strength detection system, comprising: Double-sided clamping device 201, used for clamping the two ends of the fabric to be tested; The electric stretching device 202 is connected to the double-sided clamping device 201 and is used to apply a stretching force to the fabric to be tested according to the obtained stretching parameters; An integrated sensor 203 is installed on the electric stretching device 202 and is used to monitor the stretching state of the fabric to be tested in real time; The data processing unit 204 is connected to the integrated sensor 203 and is used to dynamically adjust the stretching parameters of the electric stretching device 202 according to the analysis results of the stretching state data of the fabric to be detected; wherein the data processing unit 204 stores a PID control algorithm and an adaptive control algorithm.

[0024] Furthermore, the data processing unit dynamically adjusts the stretching parameters of the electric stretching device according to the analysis results of the stretching state data of the fabric to be tested, and is configured as follows: Initialize stretching parameters; wherein the stretching parameters include stretching speed, stretching strength and stretching time; Collect the real-time stretch state data of the fabric to be tested through integrated sensors; Repeat the following steps until the tensile state data of the fabric to be tested meets the fracture tendency condition: According to the real-time stretching state data of the fabric to be tested, the PID control algorithm is used to adjust the stretching parameters of the electric stretching device by combining the three links of proportion, integration and differentiation, and the adjusted stretching parameters are sent to the electric stretching device; wherein, the proportion link is used to adjust the stretching parameters of the electric stretching device according to the current stretching deviation; the integration link is used to accumulate the stretching deviations of all the past time, and adjust the stretching parameters of the electric stretching device according to the accumulated total; the differentiation link is used to predict the future change trend of the stretching deviation, and adjust the stretching parameters of the electric stretching device according to the change rate of the stretching deviation; Using an adaptive control algorithm, the parameters of the proportional link, the integral link and the differential link are optimized according to the real-time stretching parameters of the electric stretching device, the real-time stretching state data of the fabric to be tested and the characteristics of the fabric to be tested; When the tensile state data of the fabric to be tested meets the fracture tendency condition, the fracture tensile parameter of the electric stretching device is determined; wherein the fracture tensile parameter is used to determine the test result of the tensile strength of the fabric to be tested.

[0025] Based on the embodiments provided in this application, the PID control algorithm uses a combination of proportional, integral and differential links to adjust the stretching parameters of the electric stretching device to ensure that the actual stretching force of the fabric can quickly and accurately track the target tensile strength. By adjusting the parameters of the proportional link, the integral link and the differential link, the dynamic response and stability of the system can be optimized to adapt to different test requirements and fabric characteristics.

[0026] Furthermore, after the data processing unit sends the adjusted stretching parameters to the electric stretching device, the electric stretching device applies corresponding stretching force to the fabric to be tested according to the adjusted stretching parameters.

[0027] Furthermore, the output formula of the PID control algorithm is: ; in, It's in time At the moment, the data processing unit sends a control signal to the electric stretching device, and the control signal is used to adjust the stretching parameters of the electric stretching device; is the proportional gain, which is used to adjust the response speed of the control signal to the real-time stretch deviation of the fabric to be tested. The real-time stretch deviation is the difference between the target stretch force and the actual stretch force; It's in time The stretch deviation at the moment; is the integral gain, which is used to accumulate the stretch deviation of all past times to eliminate the long-term deviation. is the integration time constant; is the integral term of the stretched deviation over all past times, is the integration variable, Indicates the time at which the fabric to be tested The tensile deviation, Calculate the time from the start time to the At that moment, the cumulative sum of all stretching deviations; is the differential gain, which is used to predict the future trend of stretch deviation; It is the rate of change of the tensile deviation, which is used to indicate how fast the tensile deviation changes over time.

[0028] Furthermore, the parameters of the proportional link are The parameters of the integration phase are And the parameters of the differential phase are The data processing unit uses an adaptive control algorithm to optimize the parameters of the proportional link, the integral link and the differential link according to the real-time stretching parameters of the electric stretching device, the real-time stretching state data of the fabric to be tested and the characteristics of the fabric to be tested, and is configured as follows: The estimated values ​​of the characteristics of the fabric to be inspected are updated in real time; Based on the estimated value of the characteristics of the fabric to be tested, the real-time stretching parameters of the electric stretching device and the real-time stretching state data of the fabric to be tested, the model reference adaptive control strategy is used to update the ; ; ; ; in, express The amount of change; express The amount of change; express The amount of change; , All are adjustment factors; It's in time The stretch deviation at the moment; is the rate of change of tensile deviation; is the integral term of the stretched deviation over all past times.

[0029] Furthermore, the estimated value of the feature of the fabric to be detected is updated in real time based on the following formula: ; in, is the estimated value of the feature of the fabric to be tested at time k; It's in time At this moment, the estimated value of the characteristics of the fabric to be tested; It is the forgetting factor; It is the real-time stretching parameters of the electric stretching device output by the fabric tensile strength testing system and the real-time stretching state data of the fabric to be tested; is the regressor; is the transpose of the regressor.

[0030] Furthermore, the fracture tendency condition includes one or more of the following conditions: the fabric to be tested undergoes tensile deformation, the fabric to be tested reaches a preset elongation, and the stress of the fabric to be tested reaches a preset value.

[0031] It should be noted that in the present application, the embodiments implemented by the fabric tensile strength detection system side can be referenced with the embodiments implemented by the fabric tensile strength detection method side, and the present application will not describe them one by one.

[0032] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for testing the tensile strength of fabrics, characterized in that: include: Use a double-sided clamping device to clamp both ends of the fabric to be tested; Applying a stretching force to the fabric to be tested according to the obtained stretching parameters by an electric stretching device; Using an integrated sensor installed on the electric stretching device to monitor the stretching state of the fabric to be tested in real time; The stretching state data of the fabric to be detected is transmitted to a data processing unit, and the data processing unit dynamically adjusts the stretching parameters of the electric stretching device according to the analysis results of the stretching state data of the fabric to be detected; wherein the data processing unit stores a PID control algorithm and an adaptive control algorithm.

2. The fabric tensile strength testing method according to claim 1, characterized in that: The method of dynamically adjusting the stretching parameters of the electric stretching device according to the analysis result of the stretching state data of the fabric to be detected includes: Initializing stretching parameters; wherein the stretching parameters include stretching speed, stretching strength and stretching time; Collecting real-time stretching state data of the fabric to be tested through the integrated sensor; Repeat the following steps until the tensile state data of the fabric to be tested meets the fracture tendency condition: According to the real-time stretching state data of the fabric to be detected, a PID control algorithm is used to adjust the stretching parameters of the electric stretching device by combining the three links of proportion, integration and differentiation, and the adjusted stretching parameters are sent to the electric stretching device; wherein the proportion link is used to adjust the stretching parameters of the electric stretching device according to the current stretching deviation; the integration link is used to accumulate the stretching deviations of all the past time, and adjust the stretching parameters of the electric stretching device according to the accumulated total; the differentiation link is used to predict the future change trend of the stretching deviation, and adjust the stretching parameters of the electric stretching device according to the change rate of the stretching deviation; Using the adaptive control algorithm, the parameters of the proportional link, the parameters of the integral link and the parameters of the differential link are optimized according to the real-time stretching parameters of the electric stretching device, the real-time stretching state data of the fabric to be detected and the characteristics of the fabric to be detected; When the stretching state data of the fabric to be tested meets the fracture tendency condition, the fracture stretching parameter of the electric stretching device is determined; wherein the fracture stretching parameter is used to determine the test result of the tensile strength of the fabric to be tested.

3. A fabric tensile strength detection system, which implements the fabric tensile strength detection method as claimed in claim 1, characterized in that: include: Double-sided clamping device, used to clamp both ends of the fabric to be tested; An electric stretching device, connected to the double-sided clamping device, for applying a stretching force to the fabric to be tested according to the obtained stretching parameters; An integrated sensor, installed on the electric stretching device, for real-time monitoring of the stretching state of the fabric to be tested; A data processing unit is connected to the integrated sensor, and is used to dynamically adjust the stretching parameters of the electric stretching device according to the analysis results of the stretching state data of the fabric to be detected; wherein the data processing unit stores a PID control algorithm and an adaptive control algorithm.

4. The fabric tensile strength testing system according to claim 3, characterized in that: The data processing unit dynamically adjusts the stretching parameters of the electric stretching device according to the analysis result of the stretching state data of the fabric to be detected, and is configured as follows: Initializing stretching parameters; wherein the stretching parameters include stretching speed, stretching strength and stretching time; Collecting real-time stretching state data of the fabric to be tested through the integrated sensor; Repeat the following steps until the tensile state data of the fabric to be tested meets the fracture tendency condition: According to the real-time stretching state data of the fabric to be detected, a PID control algorithm is used to adjust the stretching parameters of the electric stretching device by combining the three links of proportion, integration and differentiation, and the adjusted stretching parameters are sent to the electric stretching device; wherein the proportion link is used to adjust the stretching parameters of the electric stretching device according to the current stretching deviation; the integration link is used to accumulate the stretching deviations of all the past time, and adjust the stretching parameters of the electric stretching device according to the accumulated total; the differentiation link is used to predict the future change trend of the stretching deviation, and adjust the stretching parameters of the electric stretching device according to the change rate of the stretching deviation; Using the adaptive control algorithm, the parameters of the proportional link, the parameters of the integral link and the parameters of the differential link are optimized according to the real-time stretching parameters of the electric stretching device, the real-time stretching state data of the fabric to be detected and the characteristics of the fabric to be detected; When the stretching state data of the fabric to be tested meets the fracture tendency condition, the fracture stretching parameter of the electric stretching device is determined; wherein the fracture stretching parameter is used to determine the test result of the tensile strength of the fabric to be tested.

5. The fabric tensile strength testing system according to claim 4, characterized in that: After the data processing unit sends the adjusted stretching parameters to the electric stretching device, the electric stretching device applies corresponding stretching force to the fabric to be detected according to the adjusted stretching parameters.

6. The fabric tensile strength testing system according to claim 5, characterized in that: The output formula of the PID control algorithm is: ； in, It's in time moment, the data processing unit sends a control signal to the electric stretching device, wherein the control signal is used to adjust the stretching parameters of the electric stretching device; is a proportional gain, used to adjust the response speed of the control signal to the real-time stretch deviation of the fabric to be detected, wherein the real-time stretch deviation is the difference between the target stretch strength and the actual stretch strength; It's in time The stretch deviation at the moment; is the integral gain, which is used to accumulate the stretch deviation of all past times to eliminate the long-term deviation. is the integration time constant; is the integral term of the stretched deviation over all past times, is the integration variable, Indicates the fabric to be tested at time The tensile deviation, Calculate the time from the start time to the At that moment, the cumulative sum of all stretching deviations; is the differential gain, which is used to predict the future trend of stretch deviation; It is the rate of change of the tensile deviation, which is used to indicate how fast the tensile deviation changes over time.

7. The fabric tensile strength testing system according to claim 6, characterized in that: The parameters of the proportional link are The parameters of the integration link are And the parameters of the differential link are The data processing unit uses the adaptive control algorithm to optimize the parameters of the proportional link, the integral link and the differential link according to the real-time stretching parameters of the electric stretching device, the real-time stretching state data of the fabric to be detected and the characteristics of the fabric to be detected, and is configured as follows: updating the estimated value of the characteristic of the fabric to be detected in real time; Based on the estimated value of the characteristic of the fabric to be detected, the real-time stretching parameter of the electric stretching device and the real-time stretching state data of the fabric to be detected, the model reference adaptive control strategy is adopted to update ; ； ； ； in, express The amount of change; express The amount of change; express The amount of change; , All are adjustment factors; It's in time The stretch deviation at the moment; is the rate of change of tensile deviation; is the integral term of the stretched deviation over all past times.

8. The fabric tensile strength testing system according to claim 7, characterized in that: The estimated value of the characteristic of the fabric to be detected is updated in real time based on the following formula: ； in, is the estimated value of the characteristic of the fabric to be tested at time k; It's in time At the moment, an estimated value of the characteristic of the fabric to be detected; It is the forgetting factor; The real-time stretching parameters of the electric stretching device and the real-time stretching state data of the fabric to be tested output by the fabric tensile strength detection system; is the regressor; is the transpose of the regressor.

9. The fabric tensile strength testing system according to claim 4, characterized in that: The fracture tendency condition includes one or more of the following conditions: the fabric to be tested undergoes tensile deformation, the fabric to be tested reaches a preset elongation, and the stress of the fabric to be tested reaches a preset value.

10. The fabric tensile strength testing system according to claim 4, characterized in that: The fabric tensile strength detection system also includes: A user interface is connected to the data processing unit and is used to display the test result of the tensile strength of the fabric to be tested.

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