A high-strength and high-modulus polyethylene fiber spinneret microstructure control system and method

Abstract

The present invention discloses a microstructure control system and method for a high-strength and high-modulus polyethylene fiber spinneret, which relates to the field of polyethylene fiber spinnerets, comprising: a camera module for collecting morphological images of fiber filaments ejected when the spinneret is in operation, and storing the fiber filament morphological images; a detection module for acquiring fiber filament morphological images in the camera module, analyzing the similarity and symmetry of each fiber filament morphological image, and comprehensively estimating the accuracy of the fiber filaments ejected by the spinneret based on the similarity and symmetry analysis results; the present invention uses multiple high-definition cameras to collect fiber filament morphological images around the spinning direction, dynamically adjusts the collection frequency in combination with changes in the ambient audio spectrum, and can accurately capture subtle features of spinning abnormalities; based on the similarity and symmetry analysis of the fiber filament contour images, intelligently configures weights according to the number of spinneret holes to improve calculation accuracy and achieve accurate evaluation of the spinning state.

Description

Technical Field

[0001] The present invention relates to the technical field of polyethylene fiber spinnerets, in particular to a microstructure control system and method for a high-strength and high-modulus polyethylene fiber spinneret. Background Art

[0002] The spinneret is a core component in chemical fiber production. It is a plate-shaped structure covered with precisely arranged spinneret holes. Polymer melt or solution is extruded through the spinneret holes, where it cools and solidifies to form fibers. Circular spinnerets are currently the most commonly used type of spinneret.

[0003] The invention patent application with application number 202010252776.8 discloses an automatic inspection method for a spinning assembly spinneret, including the following inspection steps: 1) measuring multiple holes of the spinneret through a microscope to obtain multiple hole size values; 2) sending the hole size values ​​to a processing unit through a set value sending module; 3) the processing unit receives the hole size values ​​and calculates the average value of the hole size values ​​through a calculation module: 4) comparing the average value with the standard value through an error judgment module. If the average value exceeds the error range of the standard value, the processing unit sends a result signal that the spinneret is unqualified. If the average value does not exceed the error range of the standard value, the processing unit sends a result signal that the spinneret is qualified. This application aims to solve the problem that "the current inspection method for spinnerets is mainly to directly judge the quality of the spinneret after inspecting the size of the spinneret through a spinneret microscope. The main shortcoming of this inspection method is that each hole needs to be separately compared and inspected, the inspection efficiency is low, and the inspection accuracy is low."

[0004] However, existing technologies for spinneret quality inspection mostly focus on the spinneret production process. During the use of the spinneret, mechanical vibration or other external factors may cause the spinneret to undergo slight displacement, which may cumulatively affect the accuracy of the fiber ejected from the spinneret.

[0005] Therefore, a microstructure control system and method for a high-strength and high-modulus polyethylene fiber spinneret are proposed. Summary of the Invention

[0006] In view of the above-mentioned shortcomings of the prior art, the present invention provides a high-strength and high-modulus polyethylene fiber spinneret microstructure control system and method, which can effectively solve the problems of the prior art.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0008] The present invention discloses a high-strength and high-modulus polyethylene fiber spinneret microstructure control system, comprising:

[0009] The camera module is used to collect the morphological images of the fiber filaments ejected when the spinneret is in operation and store the morphological images of the fiber filaments; the detection module is used to obtain the morphological images of the fiber filaments in the camera module, analyze the similarity and symmetry of the morphological images of each fiber filament, and comprehensively estimate the accuracy of the fiber filaments ejected from the spinneret based on the similarity and symmetry analysis results; the judgment module is used to set the qualified judgment threshold, receive the accuracy estimation result of the fiber filaments ejected from the spinneret in the detection module, and compare the estimation result with the qualified judgment threshold to determine whether the fiber filaments ejected from the spinneret are qualified; the monitoring module is used to receive and record the accuracy estimation result of the fiber filaments ejected from the spinneret in the detection module, and monitor whether the spinneret has a control tendency based on the recorded estimation result; the control module is used to control the spatial posture structure of the spinneret; the control message generation module is used to generate the spinneret control message

[0010] Furthermore, the camera module is integrated by four high-definition industrial cameras, and the four high-definition industrial cameras are equidistantly arranged around the fiber filaments ejected from the spinneret in operation, and the image acquisition viewing angles of the four high-definition industrial cameras are perpendicular to the spinning direction of the spinneret;

[0011] A sensing unit is provided inside the camera module, and the sensing unit is integrated with an audio sensor, and the sensing unit is used to sense the audio spectrum of the spinneret operating environment;

[0012] Among them, the camera module runs at the initial operation stage based on the operating frequency preset by the system user, and uses the changes in the ambient audio spectrum perceived by the perception unit to coordinate the operating frequency in real time.

[0013] Furthermore, the sensing end of the sensing unit is at a straight-line distance of no more than 0.5 m from the spinneret, and there is no obstruction between the two, and the sensing end of the sensing unit is opposite to any side of the spinneret;

[0014] The perception unit operates continuously based on a fixed frequency, and the fixed frequency used by the perception unit is higher than the operating frequency preset by the system end user in the initial operation stage. The operating frequency of the camera module is coordinated in real time based on the changes in the ambient audio spectrum perceived by the perception unit: ;

[0015] Where: is the difference between the spectrum matrices x and y obtained by short-time Fourier transform of the two audio spectra; is the frequency dimension, frame index; is the perceptual weighting function; is the mean square error distance; is the cosine distance;

[0016] in, The larger the value, the higher the camera module operating frequency. Conversely, the camera module operating frequency is closer to the operating frequency preset by the system end user. , is the key feature in the spectrum of the nth frame. The key feature is any one of the frequency domain energy, formant position, and Mel-frequency cepstral coefficient (MFCC).

[0017] Furthermore, the mean square error distance Cosine distance The calculation logic is expressed as: ;

[0018] Where; is the total number of frequency bins; 、 are the amplitude values ​​of the two audios at the nth frame and the mth frequency bin respectively;

[0019] in, and During calculation, the mean square error distance and cosine distance are calculated separately for each frame in the spectrum matrix, and then summed up in the time dimension as the final mean square error distance and cosine distance.

[0020] Furthermore, when the camera module stores the fiber morphology images, the fiber morphology images are differentiated and stored based on the high-definition industrial camera from which they come, and the fiber morphology images stored in each differentiated storage interval are sorted and stored based on the acquisition time sequence;

[0021] Before analyzing the similarity and symmetry of each fiber morphology image, the detection module acquires the fiber morphology image in the fiber morphology image acquisition stage, and the acquisition target is the fiber morphology image most recently stored in each storage interval in the camera module;

[0022] When the monitoring module detects that the estimation results determined as qualified by the determination module for three consecutive times show a continuous downward trend, it indicates that the spinneret has a control tendency; otherwise, it indicates that the spinneret has no control tendency;

[0023] Among them, when the judgment result of the judgment module is no or the monitoring result of the monitoring module is yes, the control module is triggered to run. When the control module triggers the operation stage, the equipment to which the spinneret belongs stops running until the control module ends running, and the equipment to which the spinneret belongs resumes operation.

[0024] Furthermore, the detection module may estimate the accuracy of the spinneret spinning fiber filaments in a logical manner as follows:

[0025] According to the fiber color value, pixels that match the fiber color value are captured in the fiber morphology image, all captured pixels are used to form a fiber outline image, and the fiber outline image is used to analyze the similarity and symmetry of each fiber morphology image;

[0026] Assign weights to the similarity analysis results and the symmetry analysis results, multiply the similarity analysis results and the symmetry analysis results by their corresponding weights respectively and then sum them up, and the sum result is recorded as the accuracy of the fiber ejected by the spinneret;

[0027] Among them, the more spinneret holes there are on the spinneret, the greater the weight value configured in the similarity analysis result, and the smaller the weight value configured in the symmetry analysis result; the fewer spinneret holes there are on the spinneret, the smaller the weight value configured in the similarity analysis result, and the greater the weight value configured in the symmetry analysis result, and both weights are non-zero positive numbers, and the sum of the two weights is equal to one.

[0028] Furthermore, the control module is integrated with no less than two gyroscopes and a universal adjustment component, wherein the gyroscopes pre-store standard posture parameters of the spinneret, and the universal adjustment component stores initial posture parameters of the spinneret and a posture debugging motion path;

[0029] During the operation phase of the control module, the spinneret is driven to return to its initial posture through the universal adjustment component based on the initial posture parameters of the spinneret, and after the spinneret is restored to its initial posture, the spinneret is driven to move based on the posture debugging motion path. During the movement of the spinneret, the spinneret posture parameters are sensed in real time by the gyroscope. When the real-time posture parameters of the spinneret are sensed to be consistent with the standard posture parameters stored in the gyroscope, the universal adjustment component is controlled to end operation and maintain the current posture, and the control module ends the control of the spinneret spatial posture structure;

[0030] Among them, the attitude parameters include pitch angle, yaw angle, and roll angle, and the spinneret attitude debugging motion path is composed of several groups of attitude parameters.

[0031] Furthermore, the spinneret control message generated by the control message generation module includes: the single control duration of the spinneret and the average interval time of continuous control of the spinneret.

[0032] Furthermore, the camera module is interactively connected to the perception unit via a wireless network, the camera module is interactively connected to the monitoring module via a wireless network, the detection module is interactively connected to the determination module and the monitoring module via a wireless network, the determination module and the monitoring module are interactively connected to the control module via a wireless network, and the control module is interactively connected to the control message generation module via a wireless network.

[0033] In another aspect, a method for controlling the microstructure of a high-strength and high-modulus polyethylene fiber spinneret comprises:

[0034] A high-definition industrial camera is used to capture morphological images of fiber filaments spun by the spinneret, and the morphological images are stored; the stored fiber filament morphological images are obtained, the similarity and symmetry of the fiber filament morphological images are analyzed, and the accuracy of the fiber filaments ejected by the spinneret is estimated based on the similarity and symmetry analysis results of the fiber filament morphological images; a qualified judgment threshold is set, and the fiber filament accuracy estimation result is obtained, and the estimation result is compared with the qualified judgment threshold to determine whether the fiber filament is qualified; the accuracy estimation result of the fiber filaments ejected by the spinneret is continuously recorded, and the spinneret is monitored in real time based on the recorded estimation results to determine whether there is a control tendency; when the judgment result is no or the monitoring result is yes, the spatial posture structure of the spinneret is controlled; and the spinneret control message is generated in real time.

[0035] Compared with the prior art, the technical solution provided by the present invention has the following beneficial effects:

[0036] The present invention provides a high-strength and high-modulus polyethylene fiber spinneret microstructure control system and method. During execution, the system and method collect fiber morphology images around the spinning direction through multiple high-definition cameras, and dynamically adjust the collection frequency in combination with changes in the ambient audio spectrum, so as to accurately capture subtle features of spinneret abnormalities; based on the similarity and symmetry analysis of the fiber contour images, the weights are intelligently configured according to the number of spinneret holes to improve the calculation accuracy and achieve accurate evaluation of the spinning state; when a control tendency such as a decrease in continuous qualified results is detected, the spinneret is driven by a gyroscope and a universal adjustment component to adjust its posture according to a preset path, so that the spinneret posture parameters return to standard values, and the control message generates data such as the control time, providing a quantitative basis for process optimization, thereby realizing full-process control and maintenance from dynamic monitoring, intelligent evaluation to precise control. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort.

[0038] Figure 1 This is a schematic diagram of the structure of a high-strength and high-modulus polyethylene fiber spinneret microstructure control system;

[0039] Figure 2 The figure is a flow chart of a method for controlling the microstructure of a high-strength and high-modulus polyethylene fiber spinneret. DETAILED DESCRIPTION

[0040] To make the purpose, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0041] The present invention will be further described below with reference to the embodiments.

[0042] Example 1: A high-strength and high-modulus polyethylene fiber spinneret microstructure control system of this embodiment, such as Figure 1 Shown, including:

[0043] A camera module is used to capture morphological images of fiber filaments ejected from the spinneret in operation and store the morphological images of the fiber filaments;

[0044] The camera module is integrated with four high-definition industrial cameras. The four high-definition industrial cameras are equidistantly positioned around the fiber filaments ejected from the spinneret during operation. The image acquisition angles of the four high-definition industrial cameras are all perpendicular to the spinneret's spinning direction.

[0045] A sensing unit is set inside the camera module. The sensing unit is integrated with an audio sensor and is used to sense the audio spectrum of the spinneret operating environment.

[0046] The camera module operates at an initial operating frequency preset by the user on the system end, and coordinates the operating frequency in real time based on changes in the ambient audio spectrum perceived by the perception unit.

[0047] The sensing end of the sensing unit is no more than 0.5 m away from the spinneret and there is no obstruction between them, and the sensing end of the sensing unit is opposite to any side of the spinneret;

[0048] The perception unit operates continuously at a fixed frequency, and the fixed frequency used by the perception unit is higher than the operating frequency preset by the system user in the initial operation phase. The operating frequency of the camera module is coordinated in real time based on the changes in the ambient audio spectrum perceived by the perception unit: ;

[0049] Where: is the difference between the spectrum matrices x and y obtained by short-time Fourier transform of the two audio spectra; is the frequency dimension, frame index; is the perceptual weighting function; is the mean square error distance; is the cosine distance;

[0050] in, The larger the value, the higher the camera module operating frequency. Conversely, the camera module operating frequency is closer to the operating frequency preset by the system end user. , is the key feature in the spectrum of the nth frame, which can be any one of the frequency domain energy, formant position, and Mel-frequency cepstral coefficient (MFCC);

[0051] Mean square error distance Cosine distance The calculation logic is expressed as:

[0052] ;

[0053] Where; is the total number of frequency bins; 、 are the amplitude values ​​of the two audios at the nth frame and the mth frequency bin respectively;

[0054] in, and During calculation, the mean square error distance and cosine distance are calculated for each frame in the spectrum matrix, and then summed in the time dimension as the final mean square error distance and cosine distance;

[0055] By calculating through the above logic formula, the operating frequency of the camera module is controlled in real time to ensure that the fiber morphology images collected by the camera module are based on the reference value, thereby improving the control accuracy of the spinneret by the system operation;

[0056] A detection module is used to obtain fiber morphology images in the camera module, analyze the similarity and symmetry of each fiber morphology image, and comprehensively estimate the accuracy of the fiber ejected by the spinneret based on the similarity and symmetry analysis results;

[0057] The accuracy estimation logic of the spinneret-spinned fiber in the detection module is expressed as:

[0058] According to the fiber color value, pixels that match the fiber color value are captured in the fiber morphology image, all captured pixels are used to form a fiber outline image, and the fiber outline image is used to analyze the similarity and symmetry of each fiber morphology image;

[0059] Assign weights to the similarity analysis results and the symmetry analysis results, multiply the similarity analysis results and the symmetry analysis results by their corresponding weights respectively and then sum them up, and the sum result is recorded as the accuracy of the fiber ejected by the spinneret;

[0060] Among them, the more spinnerets there are on the spinneret, the greater the weight value configured for the similarity analysis result, and the smaller the weight value configured for the symmetry analysis result; the fewer spinnerets there are on the spinneret, the smaller the weight value configured for the similarity analysis result, and the greater the weight value configured for the symmetry analysis result, and both weights are non-zero positive numbers, and the sum of the two weights is equal to one;

[0061] a determination module, configured to set a qualified determination threshold, receive an accuracy estimation result of the fiber filaments ejected from the spinneret from the detection module, and compare the estimation result with the qualified determination threshold to determine whether the fiber filaments ejected from the spinneret are qualified;

[0062] A monitoring module is used to receive and record the accuracy estimation result of the fiber filaments ejected by the spinneret in the detection module, and monitor whether the spinneret has a control tendency based on the recorded estimation result;

[0063] When the camera module stores the fiber morphology images, it stores them separately based on the high-definition industrial camera from which they come, and the fiber morphology images stored in each differentiated storage interval are sorted and stored based on the acquisition time sequence;

[0064] Before analyzing the similarity and symmetry of each fiber morphology image, the detection module acquires the fiber morphology image in the fiber morphology image acquisition stage, and the acquisition target is the fiber morphology image most recently stored in each storage interval in the camera module;

[0065] When the monitoring module detects that the estimation results judged as qualified by the judgment module for three consecutive times show a continuous downward trend, it indicates that the spinneret has a control tendency; otherwise, it indicates that the spinneret has no control tendency;

[0066] When the determination result of the determination module is no or the monitoring result of the monitoring module is yes, the control module is triggered to run. When the control module triggers the operation phase, the equipment to which the spinneret belongs stops running. After the control module finishes running, the equipment to which the spinneret belongs resumes running.

[0067] A control module is used to control the spatial posture structure of the spinneret;

[0068] The control module is integrated with no less than two gyroscopes and a universal adjustment component. The gyroscopes pre-store standard posture parameters of the spinneret, and the universal adjustment component stores the initial posture parameters of the spinneret and the posture debugging motion path.

[0069] During the operation phase of the control module, the spinneret is driven to return to its initial posture through the universal adjustment component based on the initial posture parameters of the spinneret. After the spinneret is restored to its initial posture, the spinneret is driven to move based on the posture debugging motion path. During the movement of the spinneret, the spinneret posture parameters are sensed in real time by the gyroscope. When the real-time posture parameters of the spinneret are sensed to be consistent with the standard posture parameters stored in the gyroscope, the universal adjustment component is controlled to end operation and maintain the current posture. The control module completes the control of the spinneret spatial posture structure;

[0070] Among them, the attitude parameters include pitch angle, yaw angle, and roll angle, and the spinneret attitude debugging motion path is composed of several groups of attitude parameters;

[0071] A control message generation module, used for generating spinneret control messages;

[0072] The spinneret control message generated in the control message generation module includes: the single control duration of the spinneret and the average interval time of continuous control of the spinneret;

[0073] The camera module is interactively connected to the perception unit through a wireless network, the camera module is interactively connected to the monitoring module through a wireless network, the detection module is interactively connected to the judgment module and the monitoring module through a wireless network, the judgment module and the monitoring module are interactively connected to the control module through a wireless network, and the control module is interactively connected to the control message generation module through a wireless network.

[0074] In this embodiment, the camera module collects morphological images of fiber filaments ejected from the spinneret in an operating state and stores the morphological images of the fiber filaments. The sensing unit synchronously senses the audio spectrum of the operating environment of the spinneret. The detection module is post-operated in the camera module to obtain morphological images of the fiber filaments, analyzes the similarity and symmetry of the morphological images of each fiber filament, and comprehensively estimates the accuracy of the fiber filaments ejected from the spinneret based on the similarity and symmetry analysis results. The judgment module then sets a qualified judgment threshold, receives the accuracy estimation result of the fiber filaments ejected from the spinneret in the detection module, and compares the estimation result with the qualified judgment threshold to determine whether the fiber filaments ejected from the spinneret are qualified. The monitoring module further receives and records the accuracy estimation result of the fiber filaments ejected from the spinneret in the detection module, monitors whether the spinneret has a control tendency based on the recorded estimation result, and the control module controls the spatial posture structure of the spinneret in real time. Finally, the control message generation module generates a spinneret control message.

[0075] Through the operation of the system in the above embodiment, real-time dynamic monitoring and control services are provided for the spinneret during its operation, ensuring that the spinneret can operate stably for a long time, and thereby improving the service life of the spinneret to a certain extent, ensuring that the quality of fiber production can be controlled and production is stable.

[0076] Example 2: In terms of specific implementation, based on Example 1, this example refers to Figure 2 The microstructure control system of a high-strength and high-modulus polyethylene fiber spinneret in Example 1 is further described in detail:

[0077] A method for controlling the microstructure of a high-strength and high-modulus polyethylene fiber spinneret, comprising:

[0078] The morphological images of the fibers spun by the spinneret are collected by a high-definition industrial camera and stored;

[0079] Obtaining stored fiber morphology images, analyzing the similarity and symmetry of the fiber morphology images, and estimating the accuracy of the fibers ejected by the spinneret based on the similarity and symmetry analysis results of the fiber morphology images;

[0080] Setting a qualified judgment threshold, obtaining a fiber filament accuracy estimation result, and comparing the estimation result with the qualified judgment threshold to determine whether the fiber filament is qualified;

[0081] Continuously recording the estimation results of the accuracy of the fibers ejected from the spinneret, and monitoring in real time whether the spinneret has a control tendency based on the recorded estimation results;

[0082] When the determination result is no or the monitoring result is yes, the spatial posture structure of the spinneret is regulated;

[0083] Real-time generation of spinneret control messages.

[0084] In summary, during the execution of the system and method in the above embodiments, multiple high-definition cameras are used to collect fiber morphology images around the spinning direction, and the collection frequency is dynamically adjusted in combination with changes in the ambient audio spectrum, so as to accurately capture subtle features of spinning abnormalities; based on the similarity and symmetry analysis of the fiber contour images, the weights are intelligently configured according to the number of spinnerets to improve the calculation accuracy and achieve accurate evaluation of the spinning state; when a control tendency such as a decrease in continuous qualified results is detected, the spinneret is driven by the gyroscope and the universal adjustment component to adjust its posture according to a preset path, so that the spinneret posture parameters return to the standard value, and the control message generates data such as the control time, which provides a quantitative basis for process optimization, thereby realizing full-process control and maintenance from dynamic monitoring, intelligent evaluation to precise control.

[0085] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A high-strength and high-modulus polyethylene fiber spinneret microstructure control system, characterized in that: include: A camera module is used to capture morphological images of fiber filaments ejected from the spinneret in operation and store the morphological images of the fiber filaments; A detection module is used to obtain fiber morphology images in the camera module, analyze the similarity and symmetry of each fiber morphology image, and comprehensively estimate the accuracy of the fiber ejected by the spinneret based on the similarity and symmetry analysis results; The accuracy estimation logic of the spinneret-spinned fiber filaments in the detection module is expressed as follows: According to the fiber color value, pixels that match the fiber color value are captured in the fiber morphology image, all captured pixels are used to form a fiber outline image, and the fiber outline image is used to analyze the similarity and symmetry of each fiber morphology image; Assign weights to the similarity analysis results and the symmetry analysis results, multiply the similarity analysis results and the symmetry analysis results by their corresponding weights respectively and then sum them up, and the sum result is recorded as the accuracy of the fiber ejected by the spinneret; Among them, the more spinnerets there are on the spinneret, the greater the weight value configured for the similarity analysis result, and the smaller the weight value configured for the symmetry analysis result; the fewer spinnerets there are on the spinneret, the smaller the weight value configured for the similarity analysis result, and the greater the weight value configured for the symmetry analysis result, and both weights are non-zero positive numbers, and the sum of the two weights is equal to one; a determination module, configured to set a qualified determination threshold, receive an accuracy estimation result of the fiber filaments ejected from the spinneret from the detection module, and compare the estimation result with the qualified determination threshold to determine whether the fiber filaments ejected from the spinneret are qualified; A monitoring module is used to receive and record the accuracy estimation result of the fiber filaments ejected by the spinneret in the detection module, and monitor whether the spinneret has a control tendency based on the recorded estimation result; A control module is used to control the spatial posture structure of the spinneret; The control module is integrated with no less than two gyroscopes and a universal adjustment component, wherein the gyroscopes pre-store standard posture parameters of the spinneret, and the universal adjustment component stores initial posture parameters of the spinneret and posture debugging motion path; During the operation phase of the control module, the spinneret is driven to return to its initial posture through the universal adjustment component based on the initial posture parameters of the spinneret, and after the spinneret is restored to its initial posture, the spinneret is driven to move based on the posture debugging motion path. During the movement of the spinneret, the spinneret posture parameters are sensed in real time by the gyroscope. When the real-time posture parameters of the spinneret are sensed to be consistent with the standard posture parameters stored in the gyroscope, the universal adjustment component is controlled to end operation and maintain the current posture, and the control module ends the control of the spinneret spatial posture structure; Among them, the attitude parameters include pitch angle, yaw angle, and roll angle, and the spinneret attitude debugging motion path is composed of several groups of attitude parameters; The control message generation module is used to generate the spinneret control message.

2. The high-strength and high-modulus polyethylene fiber spinneret microstructure control system according to claim 1, characterized in that: The camera module is integrated by four high-definition industrial cameras, and the four high-definition industrial cameras are equidistantly arranged around the fiber filaments ejected from the spinneret in operation, and the image acquisition angles of the four high-definition industrial cameras are all perpendicular to the spinning direction of the spinneret; A sensing unit is provided inside the camera module, and the sensing unit is integrated with an audio sensor, and the sensing unit is used to sense the audio spectrum of the spinneret operating environment; Among them, the camera module runs at the initial operation stage based on the operating frequency preset by the system user, and uses the changes in the ambient audio spectrum perceived by the perception unit to coordinate the operating frequency in real time.

3. The high-strength and high-modulus polyethylene fiber spinneret microstructure control system according to claim 2, characterized in that: The sensing end of the sensing unit is no more than 0.5 m away from the spinneret in a straight line and there is no obstruction between the two, and the sensing end of the sensing unit is opposite to any side of the spinneret; The perception unit operates continuously based on a fixed frequency, and the fixed frequency used by the perception unit is higher than the operating frequency preset by the system end user in the initial operation stage. The operating frequency of the camera module is coordinated in real time based on the changes in the ambient audio spectrum perceived by the perception unit: ； Where: is the difference between the spectrum matrices x and y obtained by short-time Fourier transform of the two audio spectra; is the frequency dimension, frame index; is the perceptual weighting function; is the mean square error distance; is the cosine distance; in, The larger the value, the higher the camera module operating frequency. Conversely, the camera module operating frequency is closer to the operating frequency preset by the system end user. , is the key feature in the spectrum of the nth frame. The key feature is any one of the frequency domain energy, formant position, and Mel-frequency cepstral coefficient (MFCC).

4. The high-strength and high-modulus polyethylene fiber spinneret microstructure control system according to claim 3, characterized in that: The mean square error distance Cosine distance The calculation logic is expressed as: ; Where; is the total number of frequency bins; 、 are the amplitude values ​​of the two audios at the nth frame and the mth frequency bin respectively; in, and During calculation, the mean square error distance and cosine distance are calculated separately for each frame in the spectrum matrix, and then summed up in the time dimension as the final mean square error distance and cosine distance.

5. The high-strength and high-modulus polyethylene fiber spinneret microstructure control system according to claim 1, characterized in that: When the camera module stores the fiber morphology images, the fiber morphology images are differentiated and stored based on the high-definition industrial camera from which they come, and the fiber morphology images stored in each differentiated storage interval are sorted and stored based on the acquisition time sequence; Before analyzing the similarity and symmetry of each fiber morphology image, the detection module acquires the fiber morphology image in the fiber morphology image acquisition stage, and the acquisition target is the fiber morphology image most recently stored in each storage interval in the camera module; When the monitoring module detects that the estimation results determined as qualified by the determination module for three consecutive times show a continuous downward trend, it indicates that the spinneret has a control tendency; otherwise, it indicates that the spinneret has no control tendency; Among them, when the judgment result of the judgment module is no or the monitoring result of the monitoring module is yes, the control module is triggered to run. When the control module triggers the operation stage, the equipment to which the spinneret belongs stops running until the control module ends running, and the equipment to which the spinneret belongs resumes operation.

6. The high-strength and high-modulus polyethylene fiber spinneret microstructure control system according to claim 1, characterized in that: The spinneret control message generated in the control message generation module includes: the single control duration of the spinneret and the average interval time of continuous control of the spinneret.

7. The high-strength and high-modulus polyethylene fiber spinneret microstructure control system according to claim 1, characterized in that: The camera module is interactively connected to the perception unit via a wireless network, the camera module is interactively connected to the monitoring module via a wireless network, the detection module is interactively connected to the determination module and the monitoring module via a wireless network, the determination module and the monitoring module are interactively connected to the control module via a wireless network, and the control module is interactively connected to the control message generation module via a wireless network.

8. A method for controlling the microstructure of a high-strength and high-modulus polyethylene fiber spinneret, the method being an implementation method of a high-strength and high-modulus polyethylene fiber spinneret microstructure control system as claimed in any one of claims 1 to 7, characterized in that: include: The morphological images of the fibers spun by the spinneret are collected by a high-definition industrial camera and stored; Obtaining stored fiber morphology images, analyzing the similarity and symmetry of the fiber morphology images, and estimating the accuracy of the fibers ejected by the spinneret based on the similarity and symmetry analysis results of the fiber morphology images; Setting a qualified judgment threshold, obtaining a fiber filament accuracy estimation result, and comparing the estimation result with the qualified judgment threshold to determine whether the fiber filament is qualified; Continuously recording the estimation results of the accuracy of the fibers ejected from the spinneret, and monitoring in real time whether the spinneret has a control tendency based on the recorded estimation results; When the determination result is no or the monitoring result is yes, the spatial posture structure of the spinneret is regulated; Real-time generation of spinneret control messages.

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