Sock machine knitting angle accurate detection control system based on artificial intelligence

Abstract

The invention belongs to the technical field of sock machine production control, and discloses a sock machine knitting angle accurate detection control system based on artificial intelligence. The system comprises an equipment performance evaluation and analysis module, a yarn tension evaluation and analysis module, a production speed evaluation and analysis module, a knitting angle abnormal condition analysis module and a knitting angle abnormal condition processing module. According to the method, the equipment performance evaluation condition, the yarn tension evaluation condition and the production speed evaluation condition of the target equipment are analyzed, then the abnormal condition of the knitting angle is analyzed, the operation state of the sock machine can be comprehensively known through the analysis mode, one-sidedness judgment is avoided, and the efficiency is improved. And the accuracy of analyzing the abnormal condition of the knitting angle is improved. According to the invention, different control is carried out according to different abnormal reason directions during abnormal state control, the abnormal state can be quickly and effectively solved, the downtime of equipment is reduced, the production efficiency is improved, and the stability and reliability of production are improved.

Description

Technical Field

[0001] The invention belongs to the technical field of sock machine production control, and relates to an artificial intelligence-based precise detection and control system for knitting angles of sock machines. Background Art

[0002] The weaving angle plays a vital role in the weaving process of sock machines. It refers to the relative position relationship between the yarn and the machine parts during the weaving process. This position relationship directly affects the tension, introduction position and looping effect of the yarn, thus determining the quality and appearance of the socks. The reasonable setting of the weaving angle has a direct impact on the quality of the socks. If the weaving angle is too large or too small, it will lead to problems such as uneven yarn tension and poor looping effect, which will affect the appearance and wearing comfort of the socks. Therefore, the precise detection and control of the weaving angle of the sock machine based on artificial intelligence is of great significance.

[0003] Traditional sock machine production management usually only monitors specific detection indicators regularly, and then conducts abnormal state analysis and maintenance. This analysis method does not control the causes of abnormal states. This analysis method performs maintenance without accurately determining the causes, which may result in some unnecessary operations. Due to the lack of systematic analysis and control, the production management of sock machines cannot be fully optimized. Only analyzing abnormal states without in-depth exploration of the causes may only solve superficial problems but fail to cure the root causes. This can easily lead to repeated problems and affect production stability.

[0004] Traditional sock machine production management does not perform targeted maintenance for different abnormal causes when performing abnormal state maintenance. This analysis method may take some general maintenance measures when dealing with abnormal states, but these measures may not be able to effectively solve specific abnormal problems. This leads to a waste of time and resources, prolonged equipment downtime, and reduced production efficiency. Without analysis and targeted maintenance of different abnormal causes, effective preventive maintenance measures cannot be established. This makes the equipment prone to sudden failures during operation, causing greater losses to production. Summary of the invention

[0005] In view of this, in order to solve the problems raised in the above background technology, an artificial intelligence-based precise detection and control system for knitting angles of a sock machine is proposed.

[0006] The purpose of the present invention can be achieved through the following technical solutions: an artificial intelligence-based sock machine knitting angle precision detection and control system, including: an equipment performance evaluation and analysis module, which is used to record the target sock machine as a target device, monitor the equipment performance data of the target device, obtain the equipment performance data of the target device, and analyze the equipment performance evaluation of the target device.

[0007] The yarn tension evaluation and analysis module is used to monitor the tension of each yarn of the target device, obtain the yarn tension evaluation data of each yarn of the target device, and analyze the yarn tension evaluation status of the target device.

[0008] The production speed evaluation and analysis module is used to obtain the pulling speed of the pulling mechanism and the weaving speed of the weaving mechanism of the target equipment, and then analyze the production speed evaluation of the target equipment.

[0009] The knitting angle abnormality analysis module is used to use the angle sensor to obtain the knitting angle corresponding to each knitting needle of the target device, and then determine whether the knitting angle abnormality occurs. If it occurs, further identify the specific cause of the knitting angle abnormality.

[0010] The braiding angle abnormality processing module is used to perform braiding angle abnormality regulation based on the analyzed braiding angle abnormality cause when it is determined that the braiding angle abnormality occurs.

[0011] The braiding angle abnormality processing module includes an equipment maintenance control unit, a yarn tension control unit and a production speed control unit.

[0012] The device maintenance and control unit is used to perform device maintenance and control on the target device.

[0013] The yarn tension regulating unit is used to regulate the yarn tension of a target device.

[0014] The production speed control unit is used to control the production speed of the target device.

[0015] Compared with the prior art, the present invention has the following beneficial effects: (1) The present invention analyzes the abnormal knitting angle by analyzing the equipment performance evaluation, yarn tension evaluation and production speed evaluation of the target equipment. This analysis method can fully understand the operating status of the sock machine, avoid one-sided judgment, and improve the accuracy of the abnormal knitting angle analysis. By evaluating multiple related factors, the specific cause of the abnormal knitting angle can be more accurately located.

[0016] (2) The present invention performs different controls for different abnormal causes when performing abnormal state control. This analysis method performs specific controls for different abnormal causes and can directly hit the core of the problem, so that the abnormal state can be quickly and effectively solved, equipment downtime can be reduced, and production efficiency can be improved. By accurately identifying the cause of the abnormality and performing corresponding control, the problem can be fundamentally solved instead of just alleviating the symptoms. This helps prevent the recurrence of the abnormal state and improves the stability and reliability of production. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0018] Figure 1 It is a schematic diagram of the connection of each module of the system of the present invention.

[0019] Figure 2 A schematic diagram of an embodiment of a braiding angle abnormality processing module provided by the present invention. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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 creative work are within the scope of protection of the present invention.

[0021] See also Figure 1 As shown, the present invention provides a sock machine knitting angle precision detection and control system based on artificial intelligence, the system includes an equipment performance evaluation and analysis module, a yarn tension evaluation and analysis module, a production speed evaluation and analysis module, a knitting angle abnormality analysis module and a knitting angle abnormality processing module, the knitting angle abnormality processing module includes an equipment maintenance control unit, a yarn tension control unit and a production speed control unit.

[0022] Among them, the connection method between the modules is: the equipment performance evaluation and analysis module, the yarn tension evaluation and analysis module and the production speed evaluation and analysis module are all connected to the weaving angle abnormal situation analysis module, and the weaving angle abnormal situation analysis module is connected to the weaving angle abnormal situation processing module.

[0023] The equipment performance evaluation and analysis module is used to record the target sock machine as the target equipment, monitor the equipment performance data of the target equipment, obtain the equipment performance data of the target equipment, and analyze the equipment performance evaluation of the target equipment.

[0024] It should be further explained that the equipment performance data includes the needle cylinder rotation speed, the knitting needle movement speed, the knitting pitch and the vibration frequency of each knitting needle.

[0025] It should be noted that the syringe speed can be obtained by setting a speed sensor on each syringe of the target device, thereby obtaining the syringe speed corresponding to each syringe of the target device, and then performing an average calculation to obtain the syringe speed of the target device.

[0026] The knitting needle moving speed can be obtained by setting a displacement sensor on the knitting component of the target device, and then obtaining the knitting needle moving distance corresponding to each knitting needle of the target device per unit time, which is recorded as the knitting needle moving speed corresponding to each knitting needle of the target device, and then performing average calculation to obtain the knitting needle moving speed of the target device.

[0027] The braiding pitch can be obtained by using a high-definition camera to capture an image of the target device, and then using image processing software to obtain the spacing between each coil of the target device, and then performing a mean calculation to obtain the braiding pitch of the target device.

[0028] The vibration frequency of each knitting needle can be obtained by arranging a vibration frequency sensor on each knitting needle of the target device.

[0029] It should be noted that the reason for selecting the needle cylinder speed, needle moving speed, knitting pitch and vibration frequency of each needle as the equipment performance data is that the needle cylinder speed, needle moving speed and knitting pitch will affect the tension of the yarn during the knitting process. Appropriate tension can ensure that the yarn shuttles smoothly between the knitting needles and form a stable knitting angle. The vibration frequency of each knitting needle may also have a slight effect on the yarn tension, thereby affecting the knitting angle.

[0030] It should be further explained that the analysis of the equipment performance evaluation of the target equipment requires the construction of an equipment performance evaluation index of the target equipment, which is specifically done as follows: extract the vibration frequency of each knitting needle corresponding to the target equipment, denoted as f i , where i represents the number of the knitting needles of the target device, i=1, 2...I, I represents the number of knitting needles of the target device, and then the device performance evaluation correction index ζ of the target device is obtained by analysis.

[0031] The needle cylinder speed, needle movement speed and knitting pitch of the target equipment are extracted and recorded as ncv, nmv and nL respectively.

[0032] Using the formula The equipment performance evaluation index EPEi of the target equipment is obtained by analysis, where ncv 0 Indicates the preset reference syringe speed, nmv 0 Indicates the preset reference needle movement speed, nL 0 represents a preset reference weaving pitch, Δncv represents the allowable difference between the preset needle speed of the target device and the reference needle speed, Δnmv represents the allowable difference between the preset needle movement speed of the target device and the reference needle movement speed, and ΔnL represents the allowable difference between the preset weaving pitch of the target device and the reference weaving pitch.

[0033] It should be noted that the reference needle cylinder speed, reference knitting needle moving speed and reference knitting pitch are set based on the following: 1. The speed design of the needle cylinder needs to take into account the stability and durability of the mechanical structure. Excessively high speed may lead to increased mechanical wear and reduce the service life of the equipment. At the same time, the selection of speed must also match the power and torque of the motor to ensure that the motor can stably and efficiently drive the needle cylinder to rotate. 2. The motion trajectory of the knitting needle in the needle groove is complex, including horizontal uniform motion to the right and sliding motion in the vertical direction. The moving speed of the knitting needle needs to be accurately calculated and designed according to its motion trajectory and mechanical structure. 3. The knitting pitch refers to the straight-line distance between two intersections, which directly affects the density and tightness of the braid. The setting of the knitting pitch needs to be adjusted according to the knitting density requirements of the product. When weaving with thicker silk threads, the knitting pitch needs to be appropriately increased to ensure the stability and strength of the braid.

[0034] It should be further explained that the analysis method of the equipment performance evaluation correction index of the target equipment is as follows: extract the vibration frequency f of each knitting needle corresponding to the target equipment i , using the formula The equipment performance evaluation correction index ζ of the target equipment is obtained by analysis, where f 0 represents the preset threshold value of the knitting needle vibration frequency, and e represents a natural constant.

[0035] It should be noted that the setting basis of the vibration frequency threshold of the knitting needle is as follows: 1. Through theoretical calculation and finite element simulation analysis, the natural frequency of the knitting needle in different states can be obtained. These natural frequencies are specific frequencies of the knitting needle when it vibrates freely, which is crucial to avoid resonance. The vibration frequency threshold should be set within a range far away from the natural frequency of the knitting needle to prevent resonance from occurring during the knitting process, resulting in damage to the knitting needle or deterioration in knitting quality. 2. Different knitting processes have different requirements for the vibration frequency of the knitting needle. For example, some precision knitting processes require strict control of the vibration of the knitting needle to ensure the accuracy and clarity of the knitting pattern. Therefore, when setting the vibration frequency threshold, it is necessary to consider the specific requirements of the knitting process to ensure that the vibration of the knitting needle is within the allowable range.

[0036] The yarn tension evaluation and analysis module is used to monitor the tension of each yarn of the target device, obtain the yarn tension evaluation data of each yarn of the target device, and analyze the yarn tension evaluation status of the target device.

[0037] It should be further explained that the yarn tension evaluation data includes a tension consistency index and a tension compliance index.

[0038] It should be noted that the reasons for choosing the tension consistency index and the tension compliance index as tension evaluation data are: 1. The tension consistency index reflects the uniformity of tension between different yarns at the same time. If the yarn tension is inconsistent, the tightness and elasticity of the knitted socks will be different in different parts, affecting the quality and appearance of the socks. 2. The tension compliance index is used to evaluate whether the yarn tension meets the preset standard range. During the sock production process, different sock styles and specifications may require different yarn tensions. The tension compliance index can ensure that the yarn tension is within the specified range and meets production requirements. If the tension exceeds the standard range, the socks may be too tight or too loose, affecting the wearing comfort and service life.

[0039] It needs to be further explained that the analysis of the yarn tension evaluation of the target device requires the construction of the yarn tension evaluation index of the target device, which is specifically done as follows: extracting the tension consistency index and tension compliance index of the target device, which are denoted as Tci and Tai respectively.

[0040] It should be added that the analysis method of the tension consistency index of the target equipment is as follows: use the tension detector to obtain the tension of each yarn of the target equipment, and then perform mean calculation to obtain the average tension, calculate the difference between the tension of each yarn and the average tension to obtain the tension deviation value of each yarn, calculate the ratio of the absolute value of the tension deviation value of each yarn to the average tension to obtain the tension deviation degree of each yarn, and then perform mean calculation to take the inverse to obtain the tension consistency index of the target equipment.

[0041] It should be added that the tension compliance index of the target device is analyzed as follows: the tension of each yarn of the target device is extracted by using a tension detector, and then the difference between the tension and the preset reference tension is calculated to obtain the absolute tension deviation value corresponding to each yarn, and the absolute value of the absolute tension deviation value corresponding to each yarn is calculated by ratio with the reference tension to obtain the absolute tension deviation degree of each yarn, and then compared with the preset absolute tension deviation degree threshold to obtain the judgment result of whether the tension of each yarn is normal.

[0042] The number of yarns with normal tension is statistically determined, and then the ratio is calculated with the total number of yarns of the target device to obtain the tension compliance index of the target device.

[0043] It should be added that the specific process of obtaining the judgment result of whether the tension of each yarn is normal is: comparing the absolute tension deviation corresponding to each yarn with the pre-set absolute tension deviation threshold. If the absolute tension deviation of a yarn is greater than the absolute tension deviation threshold, it is judged that the tension of the yarn is normal; otherwise, it is judged that the tension of the yarn is abnormal.

[0044] Using the formula The yarn tension evaluation index YTEi of the target equipment is obtained by analysis, where α 1 , α 2 They respectively represent the weight factors corresponding to the preset tension consistency index and tension compliance index.

[0045] It should be noted that the weight factors corresponding to the tension consistency index and the tension compliance index are set based on: on the one hand, it is based on the degree of influence on the quality of the socks. For example, inconsistent tension may cause the socks to be too loose or too tight in some parts, affecting the appearance and comfort, while inconsistent tension will make the elasticity and size of the socks inconsistent with the design, affecting functionality and competitiveness. On the other hand, the process requirements of different types of socks, as well as production equipment and process conditions, will also affect the weight setting. For example, thin socks and thick socks have different tension requirements, and old equipment needs to pay more attention to tension control. At the same time, historical data, industry experience and expert opinions can provide references. By analyzing previous production data, we can understand the impact of tension problems on the defective rate, and industry general standards and expert advice can help to reasonably determine the weights. In addition, it is necessary to consider costs and benefits, weigh the cost adjustment with quality improvement benefits, quality risks and losses, and ensure that the setting of weight factors can effectively improve the quality of socks and achieve a balance between costs and benefits.

[0046] For example, α 1 =0.35, α 2 =0.65.

[0047] The production speed evaluation and analysis module is used to obtain the pulling speed of the pulling mechanism and the weaving speed of the weaving mechanism of the target device, and then analyze the production speed evaluation of the target device.

[0048] It should be supplemented that the pulling speed of the pulling mechanism of the target device can be obtained by setting a displacement sensor on the pulling mechanism of the target device, thereby obtaining the displacement distance of the pulling mechanism of the target device during the monitoring period, and calculating the ratio of the displacement distance of the pulling mechanism of the target device during the monitoring period to the duration of the corresponding monitoring period to obtain the pulling speed of the pulling mechanism of the target device.

[0049] The weaving speed of the weaving mechanism can be obtained by collecting the weaving length of the target device per unit time in real time through a high-definition camera.

[0050] It needs to be further explained that the analysis of the production speed evaluation of the target equipment requires the construction of a production speed evaluation index for the target equipment, and the specific analysis method is as follows: extract the pulling speed of the pulling mechanism and the weaving speed of the weaving mechanism of the target equipment, which are recorded as QV and BV respectively.

[0051] Using the formula Analyze and obtain the production speed compliance index λ of the target equipment 1 , where QV 0 Indicates the preset reference pulling speed of the pulling mechanism, BV 0 represents a preset reference weaving speed of the weaving mechanism, ΔQV represents the allowable difference between the preset pulling speed of the pulling mechanism and the reference pulling speed, and ΔBV represents the allowable difference between the preset weaving speed of the weaving mechanism and the reference weaving speed.

[0052] It should be noted that the reference pulling speed and reference weaving speed are set based on the following: First, the design requirements of the socks need to be considered. Socks of different styles, materials and uses have different requirements for the tightness of the weaving structure and dimensional stability, which determines the coordination relationship between the pulling speed and the weaving speed. Secondly, the performance of the production equipment is also crucial. The accuracy, stability and carrying capacity of the equipment will affect the speed setting. If the equipment is old or has limited performance, the speed cannot be set too high to avoid malfunction or affect product quality. Furthermore, the characteristics of the yarn are also an important factor. Yarns of different materials and thicknesses perform differently at different speeds. Thinner or more fragile yarns may require lower speeds to prevent breakage. At the same time, historical production data and experience are also of reference value. By analyzing the speed settings and problems encountered in previous similar sock production processes, the current speed settings can be optimized.

[0053] Using the formula Analyze and obtain the production speed consistency index λ of the target equipment 2 , where ΔV represents the allowable difference between the preset pulling speed of the pulling mechanism and the weaving speed of the weaving mechanism.

[0054] The production speed compliance index and the production speed consistency index of the target equipment are summed up according to the weights to obtain the production speed evaluation index of the target equipment.

[0055] Exemplarily, the weights of the production speed compliance index and the production speed consistency index are 0.45 and 0.55.

[0056] It should be noted that the present invention analyzes the abnormal situation of the weaving angle by analyzing the equipment performance evaluation, yarn tension evaluation and production speed evaluation of the target equipment. This analysis method can fully understand the operating status of the sock machine, avoid one-sided judgment, and improve the accuracy of the analysis of the abnormal situation of the weaving angle. By evaluating multiple related factors, the specific cause of the abnormal weaving angle can be more accurately located. For example, if the equipment performance is good but the yarn tension is abnormal, it can be preliminarily judged that the abnormal weaving angle may be caused by the yarn tension problem, so that targeted adjustments and maintenance can be carried out.

[0057] The abnormal knitting angle analysis module is used to use an angle sensor to obtain the knitting angles corresponding to each knitting needle of the target device, and then determine whether an abnormal knitting angle occurs. If so, further identify the specific cause of the abnormal knitting angle.

[0058] It needs to be further explained that the specific steps for determining whether an abnormal weaving angle occurs are as follows: extract the weaving angle corresponding to each knitting needle of the target device, and then perform difference calculation with the pre-set reference weaving angle to obtain the weaving angle deviation value corresponding to each knitting needle, and then perform ratio calculation between the absolute value of the knitting angle deviation value corresponding to each knitting needle and the pre-set reference weaving angle to obtain the knitting angle deviation degree corresponding to each knitting needle of the target device.

[0059] The knitting angle deviation corresponding to each knitting needle is compared with the preset knitting angle deviation threshold. If the knitting angle deviation corresponding to a knitting needle is less than or equal to the knitting angle deviation threshold, it is judged that the knitting needle has no knitting angle abnormality. Otherwise, it is judged that the knitting needle has a knitting angle abnormality.

[0060] The number of knitting needles with no knitting angle abnormalities and the number of knitting needles with knitting angle abnormalities are statistically obtained, and then the proportion of the number of knitting needles with knitting angle abnormalities of the target device is analyzed and compared with the preset proportion threshold. If the proportion of the number of knitting needles with knitting angle abnormalities of the target device is greater than the proportion threshold, it is judged that the target device has a knitting angle abnormality, otherwise, it is judged that the knitting angle abnormality does not occur.

[0061] It should be added that the specific method for analyzing the proportion of the number of knitting needles with abnormal knitting angles of the target device is: extract the number of knitting needles with abnormal knitting angles, and then calculate the ratio with the total number of knitting needles to obtain the proportion of the number of knitting needles with abnormal knitting angles of the target device.

[0062] It needs to be further explained that the specific identification method of the cause of the abnormal weaving angle is as follows: extract the equipment performance evaluation index, yarn tension evaluation index and production speed evaluation index of the target equipment, and then compare them with the pre-set equipment performance evaluation index threshold, yarn tension evaluation index threshold and production speed evaluation index threshold respectively.

[0063] If the device performance evaluation index of the target device is less than the device performance evaluation index threshold, it is determined that the cause of the abnormal weaving angle of the target device is due to abnormal device performance.

[0064] If the yarn tension evaluation index of the target device is less than the yarn tension evaluation index threshold, it is determined that the cause of the abnormal weaving angle of the target device is abnormal yarn tension.

[0065] If the production speed evaluation index of the target device is less than the production speed evaluation index threshold, it is determined that the cause of the abnormal weaving angle of the target device is the abnormal production speed.

[0066] It should be noted that the cause of the abnormal weaving angle of the target device may be one or more of abnormal device performance, abnormal yarn tension and abnormal production speed.

[0067] The braiding angle abnormality processing module is used to perform braiding angle abnormality regulation based on the analyzed braiding angle abnormality cause when it is determined that a braiding angle abnormality occurs.

[0068] See also Figure 2 As shown, the braiding angle abnormality processing module includes an equipment maintenance control unit, a yarn tension control unit and a production speed control unit.

[0069] The device maintenance and control unit is used to perform device maintenance and control on the target device.

[0070] The specific analysis method for performing equipment maintenance control is as follows: extracting the equipment performance evaluation index of the target equipment, and then comparing it with a preset equipment performance evaluation index threshold to obtain the equipment maintenance demand index of the target equipment.

[0071] The inverse of the equipment maintenance demand index of the target equipment is multiplied by the preset reference equipment maintenance interval to obtain the equipment maintenance time adjustment amount, and the equipment maintenance interval of the target equipment and the equipment maintenance time adjustment amount are subtracted to obtain the adjusted equipment maintenance interval of the target equipment.

[0072] The yarn tension regulating unit is used to regulate the yarn tension of a target device.

[0073] Exemplarily, the yarn tension control may be performed by adjusting the position of the yarn roller until the yarn tension is consistent with a preset reference tension.

[0074] The production speed control unit is used to control the production speed of the target device.

[0075] The specific analysis method for the production speed regulation is as follows: extract the production speed compliance index and the production speed consistency index of the target equipment and compare them.

[0076] The average of the reference weaving speed and the reference pulling speed of the target device is recorded as the reference target speed.

[0077] If the production speed compliance index of the target device is less than the production speed consistency index, the reference target speed is used as the target adjustment speed to adjust the pulling speed and weaving speed of the target device.

[0078] If the production speed compliance index of the target device is greater than the production speed consistency index, the pulling speed and weaving speed of the target device are compared with the reference target speed to obtain a pulling speed deviation value and a weaving speed deviation value.

[0079] The pulling speed deviation value of the target device is compared with the weaving speed deviation value. If the pulling speed deviation value of the target device is greater than the weaving speed deviation value, the weaving speed is used as the target adjustment speed to regulate the pulling speed of the target device. Otherwise, the pulling speed is used as the target adjustment speed to regulate the weaving speed of the target device.

[0080] It should be noted that the present invention performs different controls for different abnormal causes when performing abnormal state control. This analysis method performs specific controls for different abnormal causes and can directly hit the core of the problem, so that the abnormal state can be quickly and effectively solved, equipment downtime can be reduced, and production efficiency can be improved. By accurately identifying the cause of the abnormality and performing corresponding control, the problem can be fundamentally solved instead of just alleviating the symptoms. This helps prevent the recurrence of the abnormal state and improve the stability and reliability of production.

[0081] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. An artificial intelligence-based accurate detection and control system for knitting angles of sock machines, characterized in that: include: The equipment performance evaluation and analysis module is used to record the target sock machine as the target equipment, monitor the equipment performance data of the target equipment, obtain the equipment performance data of the target equipment, and analyze the equipment performance evaluation of the target equipment; The yarn tension evaluation and analysis module is used to monitor the tension of each yarn of the target device, obtain the yarn tension evaluation data of each yarn of the target device, and analyze the yarn tension evaluation status of the target device; The production speed evaluation and analysis module is used to obtain the pulling speed of the pulling mechanism and the weaving speed of the weaving mechanism of the target equipment, and then analyze the production speed evaluation of the target equipment; The knitting angle abnormality analysis module is used to obtain the knitting angle corresponding to each knitting needle of the target device by using the angle sensor, and then determine whether the knitting angle abnormality occurs. If it occurs, further identify the specific cause of the knitting angle abnormality; A braiding angle abnormality processing module is used to adjust the braiding angle abnormality based on the analyzed cause of the braiding angle abnormality when it is determined that the braiding angle abnormality occurs; The braiding angle abnormality processing module includes an equipment maintenance control unit, a yarn tension control unit and a production speed control unit; The equipment maintenance and control unit is used to perform equipment maintenance and control on the target equipment; The yarn tension control unit is used to control the yarn tension of the target device; The production speed control unit is used to control the production speed of the target device.

2. The artificial intelligence-based precise detection and control system for knitting angles of a sock machine as claimed in claim 1, characterized in that: The equipment performance data includes the needle cylinder rotation speed, the knitting needle movement speed, the knitting pitch and the vibration frequency of each knitting needle; The yarn tension evaluation data includes a tension consistency index, a tension stability index and a tension compliance index.

3. The artificial intelligence-based precise detection and control system for knitting angles of a sock machine as claimed in claim 2, characterized in that: The analysis of the device performance evaluation of the target device requires the construction of a device performance evaluation index of the target device, and the specific method is as follows: Extract the vibration frequency of each knitting needle corresponding to the target device, denoted as f i , where i represents the number of the knitting needles of the target device, i=1, 2...I, I represents the number of knitting needles of the target device, and then the device performance evaluation correction index ζ of the target device is obtained by analysis; Extract the needle cylinder speed, needle moving speed and knitting pitch of the target equipment, which are recorded as ncv, nmv and nL respectively; Using the formula The analysis obtains the equipment performance evaluation index EPEi of the target equipment, wherein ncv0 represents the preset reference needle cylinder speed, nmv0 represents the preset reference knitting needle movement speed, nL0 represents the preset reference weaving pitch, Δncv represents the allowable difference between the preset needle cylinder speed of the target equipment and the reference needle cylinder speed, Δnmv represents the allowable difference between the preset knitting needle movement speed of the target equipment and the reference knitting needle movement speed, and ΔnL represents the allowable difference between the preset knitting pitch of the target equipment and the reference knitting pitch.

4. The artificial intelligence-based precise detection and control system for knitting angles of a sock machine as claimed in claim 3, characterized in that: The analysis method of the equipment performance evaluation correction index of the target equipment is as follows: Extract the vibration frequency f of each knitting needle corresponding to the target device i , using the formula The equipment performance evaluation correction index ζ of the target equipment is obtained by analysis, where f0 represents the preset needle vibration frequency threshold, and e represents a natural constant.

5. The artificial intelligence-based precise detection and control system for knitting angles of a sock machine as claimed in claim 3, characterized in that: The analysis of the yarn tension evaluation of the target device requires the construction of a yarn tension evaluation index of the target device, and the specific method is as follows: Extract the tension consistency index and tension compliance index of the target equipment, denoted as Tci and Tai respectively; Using the formula The yarn tension evaluation index YTEi of the target device is obtained by analysis, where α1 and α2 represent the weight factors corresponding to the preset tension consistency index and tension compliance index, respectively.

6. The artificial intelligence-based precise detection and control system for knitting angles of a sock machine as claimed in claim 5, characterized in that: The analysis of the production speed evaluation of the target device requires the construction of a production speed evaluation index of the target device, and the specific analysis method is as follows: Extract the pulling speed of the pulling mechanism and the weaving speed of the weaving mechanism of the target device, which are recorded as QV and BV respectively; Using the formula The production speed compliance index λ1 of the target device is obtained by analysis, wherein QV0 represents a preset reference pulling speed of the pulling mechanism, BV0 represents a preset reference weaving speed of the weaving mechanism, ΔQV represents an allowable difference between the preset pulling speed of the pulling mechanism and the reference pulling speed, and ΔBV represents an allowable difference between the preset weaving speed of the weaving mechanism and the reference weaving speed; Using the formula The production speed consistency index λ2 of the target equipment is obtained by analysis, wherein ΔV represents the allowable difference between the pre-set pulling speed of the pulling mechanism and the weaving speed of the weaving mechanism; The production speed compliance index and the production speed consistency index of the target equipment are summed up according to the weights to obtain the production speed evaluation index of the target equipment.

7. The artificial intelligence-based precise detection and control system for knitting angles of a sock machine as claimed in claim 1, characterized in that: The specific steps of determining whether an abnormal braiding angle occurs are as follows: Extract the knitting angle corresponding to each knitting needle of the target device, and then perform difference calculation with the preset reference knitting angle to obtain the knitting angle deviation value corresponding to each knitting needle, and then perform ratio calculation between the absolute value of the knitting angle deviation value corresponding to each knitting needle and the preset reference knitting angle to obtain the knitting angle deviation degree corresponding to each knitting needle of the target device; The knitting angle deviation corresponding to each knitting needle is compared with a preset knitting angle deviation threshold. If the knitting angle deviation corresponding to a knitting needle is less than or equal to the knitting angle deviation threshold, it is judged that the knitting needle has no knitting angle abnormality. Otherwise, it is judged that the knitting needle has a knitting angle abnormality. The number of knitting needles with no knitting angle abnormalities and the number of knitting needles with knitting angle abnormalities are statistically obtained, and then the proportion of the number of knitting needles with knitting angle abnormalities of the target device is analyzed and compared with the preset proportion threshold. If the proportion of the number of knitting needles with knitting angle abnormalities of the target device is greater than the proportion threshold, it is judged that the target device has a knitting angle abnormality, otherwise, it is judged that the knitting angle abnormality does not occur.

8. The artificial intelligence-based precise detection and control system for knitting angles of a sock machine as claimed in claim 6, characterized in that: The specific identification method of the cause of the abnormal braiding angle is as follows: Extracting the equipment performance evaluation index, yarn tension evaluation index and production speed evaluation index of the target equipment, and then comparing them with the preset equipment performance evaluation index threshold, yarn tension evaluation index threshold and production speed evaluation index threshold respectively; If the device performance evaluation index of the target device is less than the device performance evaluation index threshold, it is determined that the cause of the abnormal braiding angle of the target device is abnormal device performance; If the yarn tension evaluation index of the target device is less than the yarn tension evaluation index threshold, it is determined that the cause of the abnormal knitting angle of the target device is abnormal yarn tension; If the production speed evaluation index of the target device is less than the production speed evaluation index threshold, it is determined that the cause of the abnormal weaving angle of the target device is the abnormal production speed.

9. The artificial intelligence-based precise detection and control system for knitting angles of a sock machine as claimed in claim 3, characterized in that: The specific analysis method for equipment maintenance and control is as follows: Extracting the equipment performance evaluation index of the target equipment, and then comparing it with the preset equipment performance evaluation index threshold to obtain the equipment maintenance demand index of the target equipment; The inverse of the equipment maintenance demand index of the target equipment is multiplied by the preset reference equipment maintenance interval to obtain the equipment maintenance time adjustment amount, and the equipment maintenance interval of the target equipment and the equipment maintenance time adjustment amount are subtracted to obtain the adjusted equipment maintenance interval of the target equipment.

10. The artificial intelligence-based precise detection and control system for knitting angles of a sock machine as claimed in claim 5, characterized in that: The specific analysis method for the production speed regulation is as follows: Extract the production speed compliance index and production speed consistency index of the target equipment and compare them; The average of the reference weaving speed and the reference pulling speed of the target device is recorded as the reference target speed; If the production speed conformity index of the target device is less than the production speed consistency index, the reference target speed is used as the target adjustment speed to adjust the pulling speed and weaving speed of the target device; If the production speed conformity index of the target device is greater than the production speed consistency index, the pulling speed and the weaving speed of the target device are compared with the reference target speed to obtain a pulling speed deviation value and a weaving speed deviation value respectively; The pulling speed deviation value of the target device is compared with the weaving speed deviation value. If the pulling speed deviation value of the target device is greater than the weaving speed deviation value, the weaving speed is used as the target adjustment speed to regulate the pulling speed of the target device. Otherwise, the pulling speed is used as the target adjustment speed to regulate the weaving speed of the target device.

Images