Towel fabric winding tension adjusting system based on intelligent control

Abstract

The invention relates to the technical field of towel fabric winding, and discloses a towel fabric winding tension adjusting system based on intelligent control, which comprises a material identification module, a tension setting module, a tension execution module, a tension feedback module, a tension correction module and a winding completion module. According to the method, the fabric material characteristics and the winding state can be detected in real time, and the tension and the winding speed are dynamically adjusted in combination with the self-adaptive algorithm, so that the dependence on artificial experience is reduced, and the winding requirements of towel fabrics made of different materials are met. Meanwhile, the tension distribution model is optimized through the self-adaptive learning module, the intelligent level of the system is improved, comprehensive evaluation and parameter optimization of the winding effect are achieved through the winding quality evaluation model, and the accuracy and stability of the winding process are ensured.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of towel fabric winding, in particular to a towel fabric winding tension adjustment system based on intelligent control. BACKGROUND

[0002] The existing towel fabric winding equipment usually relies on the experience of the operator to manually adjust the tension, especially the operator needs to judge whether the tension needs to be changed according to the real-time observation of the tightness of the fabric. Since the tension adjustment process of the existing equipment relies on manual intervention, the experience of the operator is required to be high, which is not convenient for beginners to quickly operate. Moreover, different materials of towel fabric behave differently under the same tension setting, for example, cotton, bamboo fiber or superfine fiber fabric, the difference in elasticity and thickness will cause the fabric to be loose or too tight during winding, thereby affecting the final winding quality. Therefore, the different tension adjustment methods for different materials of towel fabric make the adaptability of the equipment poor, which is difficult to meet the diversified production needs. SUMMARY

[0003] The present application aims to at least solve one of the technical problems existing in the prior art. To this end, the present application provides a towel fabric winding tension adjustment system based on intelligent control, which can detect the material properties and winding state of the fabric in real time, and adjust the tension size and winding speed dynamically, thereby overcoming the high dependence of the existing equipment on manual experience and meeting the winding needs of different materials of towel fabric.

[0004] The present application provides a towel fabric winding tension adjustment system based on intelligent control, which includes: a material identification module for identifying the material type of the current fabric according to the surface texture features and thickness information of the towel fabric; a tension setting module for matching the preset initial tension value and winding speed according to the identified material type; a tension execution module for driving the winding shaft by the motor to perform the winding operation of the towel fabric at the initial tension value and winding speed; a tension feedback module for collecting the pressure distribution data of the fabric surface in real time during winding and generating a tension distribution map; a tension correction module for determining whether the current tension deviates from the preset range according to the tension distribution map, and if so, adjusting the motor output power to change the speed of the winding shaft to correct the tension; and a winding completion module for obtaining the winding shape of the towel fabric by the image acquisition device after winding is completed, and evaluating the winding quality according to the shape features.

[0005] The tension feedback module is configured to collect the pressure distribution data of the fabric surface by the pressure sensor array during winding; and the tension correction module is configured to compare the pressure distribution data with the preset tension distribution model, and if the pressure distribution data exceeds the preset range, it is determined that the current tension needs to be adjusted.

[0006] The system further comprises an adaptive learning module for recording the winding effect of towels of different materials under different tension settings and optimizing the tension distribution model according to historical data; the adaptive learning module is further configured to obtain standard tension distribution data of a plurality of materials and input the data as initial training data into the tension distribution model for training to obtain a trained tension distribution model.

[0007] The system further comprises a remote monitoring module for connecting an external terminal device through a communication component and transmitting tension distribution data and winding form images in the winding process to the terminal device in real time; the remote monitoring module is further configured to receive operation instructions from the terminal device and adjust winding parameters.

[0008] The system further comprises an automatic shutdown module for monitoring the running state of the winding shaft through a vibration sensor during the winding process, and stopping the motor from running to prevent damage to the equipment if abnormal vibration is detected.

[0009] The winding completion module is configured to obtain winding form images of the towel fabric and input the images into a winding quality evaluation model for analysis; the winding quality evaluation model is configured to judge the winding tightness and uniformity of the towel fabric according to image features.

[0010] The system further comprises a parameter optimization module for adjusting tension set values or winding speed when the winding quality evaluation result is in a non-ideal state; the parameter optimization module is further configured to perform winding operation again according to the adjusted parameters and record the winding effect before and after adjustment to further optimize the tension distribution model.

[0011] The system further comprises a material switching module for quickly switching to corresponding initial tension values and winding speed settings according to the material type selected by the user.

[0012] The system of the embodiment of the present application can automatically match suitable initial tension value and winding speed according to the material characteristics of the towel fabric, thereby reducing the dependence on manual experience and improving the operation convenience of the equipment. Meanwhile, by introducing the tension feedback module and the tension correction module, the pressure distribution on the surface of the fabric can be monitored in real time during the winding process, and the tension size can be dynamically adjusted according to the actual demand, so as to ensure the stability and consistency of the winding process. In addition, the adaptive learning module is arranged in the embodiment, which can continuously optimize the tension distribution model, so that it gradually adapts to more types of towel fabric materials, thereby improving the adaptability and intelligent level of the system. After winding is completed, the winding effect can be comprehensively evaluated through the winding completion module and the winding quality evaluation model, and the winding parameters can be adjusted through the parameter optimization module when necessary, thereby further improving the winding quality. In this way, in the normal winding mode, the system realizes efficient winding through the initial tension value and the winding speed, and when the tension deviates from the preset range, the winding parameters are dynamically adjusted through the tension correction module to ensure the accuracy and stability of the winding process, thereby overcoming the problem that the existing equipment is difficult to adapt to diversified material towel fabrics. BRIEF DESCRIPTION OF DRAWINGS

[0013] Figure 1 is the overall structure block diagram of the system of the present application; Figure 2 is the detail block diagram of the tension feedback module in the present application; Figure 3 is the principle block diagram of the adaptive learning module in the present application; Figure 4 is the principle block diagram of the remote monitoring module in the present application; Figure 5 is the running flow chart of the system of the present application. DETAILED DESCRIPTION

[0014] The technical solutions of the present application will be described clearly and completely below in combination with the drawings of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0015] The embodiment of the present application provides a towel fabric winding tension adjusting system based on intelligent control, and the overall structure is as shown in Figure 1The system includes a material identification module, a tension setting module, a tension execution module, a tension feedback module, a winding completion module, an adaptive learning module, a remote monitoring module, and an automatic shutdown module. These modules are connected through signal lines and data buses to form a complete closed-loop control system, and the cooperative relationship between the modules ensures the stability and consistency of the towel fabric during the winding process.

[0016] The material identification module is located at the front end of the system and directly contacts the towel fabric, and is used to obtain the texture features and thickness information of the fabric surface. The material identification module scans the fabric in real time through the built-in optical sensor and ultrasonic thickness measuring device, and transmits the collected data to the tension setting module. The tension setting module matches the preset initial tension value and winding speed according to the information provided by the material identification module, and sends these parameters to the tension execution module. The tension execution module is composed of a motor and its driving circuit, and the output shaft of the motor is mechanically connected to the winding shaft. By adjusting the speed of the motor, the winding speed and tension can be controlled. After receiving the instructions from the tension setting module, the tension execution module drives the winding shaft to start the winding operation of the towel fabric with the initial tension value and winding speed.

[0017] During the winding process, the tension feedback module collects the pressure distribution data of the fabric surface in real time through the pressure sensor array. As shown in Figure 2 The pressure sensor array is evenly distributed on the surface of the winding shaft and can cover the entire width range of the towel fabric. The pressure sensor array transmits the collected pressure distribution data to the tension feedback module, which generates a tension distribution map through data processing. The tension correction module receives the tension distribution map and compares it with the preset tension distribution model. If the pressure distribution data is detected to be outside the preset range, the speed of the winding shaft is changed by adjusting the output power of the motor, so as to correct the tension. The tension correction module and the tension execution module are connected through signal lines to ensure that the correction instructions can be quickly transmitted and executed.

[0018] After winding is completed, the winding completion module obtains the winding shape image of the towel fabric through the image acquisition device. The image acquisition device is installed on the side of the winding shaft and maintains a certain distance from the towel fabric to ensure that the shooting range covers the entire winding body. The winding completion module inputs the obtained image into the winding quality evaluation model for analysis. The evaluation model judges the winding tightness and uniformity of the towel fabric according to the image features. If the evaluation result is not ideal, the parameter optimization module is started to adjust the tension setting value or the winding speed, and the winding effect before and after adjustment is recorded to further optimize the tension distribution model.

[0019] The adaptive learning module is as shown in Figure 3As shown, by recording the winding effect of different material towel fabrics under different tension settings, the tension distribution model is continuously optimized. The adaptive learning module can also obtain standard tension distribution data of various material fabrics and input it as initial training data into the tension distribution model for training to obtain a trained tension distribution model. The adaptive learning module is connected with the tension correction module and the parameter optimization module through a data bus, ensuring that the optimized model can be applied to the actual winding process in a timely manner.

[0020] The remote monitoring module, as shown in Figure 4 As shown, the tension distribution data and winding form images during the winding process are transmitted to the terminal device in real time through the communication component and the establishment of a connection with the external terminal device. The external terminal device can be a computer or a mobile device, and the operator can view the real-time data and adjust the winding parameters through the terminal device. The remote monitoring module is connected with the tension setting module and the parameter optimization module through a signal line, ensuring that the adjustment instructions can be accurately transmitted and executed.

[0021] The automatic shutdown module monitors the running state of the winding shaft through a vibration sensor installed at the bearing of the winding shaft, which can detect the vibration frequency and amplitude of the shaft in real time. If abnormal vibration is detected, the automatic shutdown module immediately sends a shutdown instruction to the tension execution module to control the motor to stop running to prevent equipment damage. The automatic shutdown module is connected with the tension execution module through a signal line, ensuring that the shutdown instruction can be quickly responded.

[0022] The material switching module is used to quickly switch to the corresponding initial tension value and winding speed setting according to the material type selected by the user. The material switching module is connected with the material recognition module and the tension setting module through a signal line, ensuring that the switching instructions can be accurately transmitted and executed. The operation interface of the material switching module can be a touch screen or physical buttons, making it convenient for users to set according to actual needs.

[0023] As shown in Figure 5As shown, in the actual operation of the system, the towel fabric first passes through the material identification module. The material identification module obtains the surface texture features and thickness information of the fabric through the optical sensor and ultrasonic thickness measuring device, and transmits the data to the tension setting module. The tension setting module matches the preset initial tension value and winding speed according to the received information, and sends the parameters to the tension execution module. The tension execution module drives the winding shaft through the motor to start the winding operation with the initial tension value and winding speed. During the winding process, the tension feedback module collects the pressure distribution data of the fabric surface in real time through the pressure sensor array, and generates a tension distribution map. The tension correction module judges whether the current tension deviates from the preset range according to the tension distribution map. If it deviates, the tension is corrected by adjusting the motor output power to change the speed of the winding shaft. After winding is completed, the winding completion module obtains the winding shape image of the towel fabric through the image acquisition device, and inputs the image into the winding quality evaluation model for analysis. If the evaluation result is non-ideal state, the parameter optimization module adjusts the tension setting value or winding speed, and records the winding effect before and after adjustment to further optimize the tension distribution model. The adaptive learning module continuously optimizes the tension distribution model by recording historical data, so that it gradually adapts to more types of towel fabric materials. The remote monitoring module transmits the data in the winding process to the external terminal device in real time through the communication component. The operator can adjust the winding parameters through the terminal device. The automatic shutdown module monitors the running state of the winding shaft through the vibration sensor, and controls the motor to stop running immediately if abnormal vibration is detected. The material switching module quickly switches to the corresponding initial tension value and winding speed setting according to the material type selected by the user, ensuring that the system can adapt to the winding needs of different material towel fabrics.

[0024] Although embodiments of the present application have been shown and described, it is to be understood that various modifications, substitutions, replacements and changes can be made to these embodiments without departing from the principles and spirit of the present application, and the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. A towel fabric winding tension adjustment system based on intelligent control, characterized in that, include: The material recognition module is used to identify the material type of the current fabric based on the surface texture features and thickness information of the towel fabric; The tension setting module is used to match the preset initial tension value and winding speed according to the identified material type; The tension execution module is used to perform the winding operation of towel fabric by driving the winding shaft with an initial tension value and winding speed via a motor; The tension feedback module is used to collect pressure distribution data on the fabric surface and generate a tension distribution map during the winding process using a pressure sensor array. The tension correction module is used to determine whether the current tension deviates from the preset range based on the tension distribution diagram. If it does, the tension is corrected by adjusting the motor output power to change the speed of the winding shaft. The winding completion module is used to acquire the winding shape of the towel fabric through an image acquisition device after winding is completed, and to evaluate the winding quality based on the shape characteristics.

2. The towel fabric winding tension adjustment system based on intelligent control according to claim 1, characterized in that, It also includes an adaptive learning module, which records the winding effect of towel fabrics of different materials under different tension settings and optimizes the tension distribution model based on historical data; the adaptive learning module is also used to obtain standard tension distribution data of various fabrics and input them as initial training data into the tension distribution model for training to obtain a trained tension distribution model.

3. The towel fabric winding tension adjustment system based on intelligent control according to claim 1, characterized in that, It also includes a remote monitoring module, which is used to connect to external terminal devices through communication components and transmit tension distribution data and winding shape images during the winding process to the external terminal devices in real time; the remote monitoring module is also used to receive operation instructions from the external terminal devices and adjust the winding parameters.

4. The towel fabric winding tension adjustment system based on intelligent control according to claim 1, characterized in that, It also includes an automatic shutdown module, which monitors the operating status of the winding shaft through vibration sensors during the winding process. If abnormal vibration is detected, it controls the motor to stop running to prevent equipment damage.

5. The towel fabric winding tension adjustment system based on intelligent control according to claim 1, characterized in that, The winding completion module is used to acquire images of the winding shape of the towel fabric and input the images into the winding quality assessment model for analysis; the winding quality assessment model is used to determine the winding tightness and uniformity of the towel fabric based on the image features.

6. The towel fabric winding tension adjustment system based on intelligent control according to claim 1, characterized in that, It also includes a parameter optimization module, which is used to adjust the tension setting or winding speed when the winding quality evaluation result is not ideal; the parameter optimization module is also used to re-encode the winding operation according to the adjusted parameters and record the winding effect before and after the adjustment to further optimize the tension distribution model.

7. The towel fabric winding tension adjustment system based on intelligent control according to claim 1, characterized in that, It also includes a material switching module, which is used to quickly switch to the corresponding initial tension value and winding speed setting according to the material type selected by the user.

8. The towel fabric winding tension adjustment system based on intelligent control according to claim 1, characterized in that, The tension feedback module is used to collect pressure distribution data on the fabric surface through a pressure sensor array during the winding process; the tension correction module is used to compare the pressure distribution data with a preset tension distribution model. If the pressure distribution data exceeds the preset range, it is determined that the current tension needs to be adjusted.

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