Insulating layer peeling method and equipment for wire processing

Abstract

The invention relates to the technical field of wire processing, in particular to an insulating layer peeling method and device for wire processing. According to the method, the feeding consistency is obtained by monitoring the vibration condition in the feeding process obtained in a time period and the difference between wire feeding lengths in each peeling period; the cutting uniformity is obtained by combining the deviation degree generated by the cutting length of the electric wire; the cutting uniformity is combined with the overall exposed length condition after peeling and the length condition of the detailed metal wire to comprehensively represent the peeling efficiency; through the peeling efficiency and the relation between the peeling efficiency and the wire feeding speed, the wire feeding speed of peeling is adjusted and optimized. According to the invention, by analyzing and monitoring the stable operation of the equipment and the consistent and complete condition of stripping in the stripping process, the subsequent feeding rate is adjusted, the proper operation state of the stripping equipment is ensured, and efficient and high-quality wire stripping is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of wire processing, in particular to an insulation stripping method and equipment for wire processing. Background Art

[0002] In the production and processing of wires and cables, stripping the insulation layer is a key step. The insulation layer of the wire not only protects the conductor from environmental influences and improves safety and reliability, but is also an important factor in ensuring the efficiency of power transmission. With the development of power engineering, communication engineering and related industries, the processing and performance requirements of wires are becoming increasingly higher. Especially with the demand for miniaturization, lightweight and high-performance wires, the insulation stripping process is particularly important. The insulation layer of the wire is stripped to a certain length to ensure good electrical contact before connecting the wire to the connector or other electrical components.

[0003] For example, automotive wiring is a crucial component of a vehicle's electrical system. With the integration of increasing numbers of electronic devices and systems, such as in-vehicle infotainment systems, driver assistance systems, and powertrain control modules, the number and complexity of automotive wiring has increased significantly. These wires and cables often require precise stripping to ensure good electrical connections and signal transmission. Because automotive wiring often has thin insulation and a variety of materials, stripping equipment must provide high-precision stripping to avoid damage to the conductors.

[0004] At present, the methods for stripping the insulation layer for wire processing mainly include mechanical stripping, thermal stripping, chemical stripping, etc.; however, in the wire processing industry, mechanical stripping equipment is usually the most commonly used insulation stripping method. Mechanical stripping equipment has played a positive role in improving efficiency and production capacity, but there are still some problems. Due to the different hardness and thickness of the insulation layer materials of the stripped wires, in the pursuit of high efficiency, the stripping speed may be too fast, resulting in the mechanical equipment being unable to accurately control the stripping depth, causing the contact pressure between the tool and the wire to be too large during operation, accelerating the wear of the props, and then the insulation layer may not be stripped cleanly or the stripping depth may be uneven, resulting in inconsistent exposed parts of the conductor, affecting subsequent processing. Summary of the Invention

[0005] In order to solve the technical problem in the prior art that, in pursuit of high efficiency, the stripping speed may be too fast, resulting in the inability of mechanical equipment to accurately control the stripping depth, accelerating the wear of the props, and further causing the insulation layer to be stripped incompletely or the stripping depth to be uneven, thus affecting subsequent processing, the purpose of the present invention is to provide a method and equipment for stripping the insulation layer for wire processing. The technical solutions adopted are as follows: The present invention provides a method for stripping an insulation layer for wire processing, the method comprising: During each stripping cycle during the monitoring period, the vibration data of the equipment, the feeding rate, feeding length and cutting length of the wire, as well as the exposed length of the wire after stripping and the length of the metal conductor on the exposed wire are obtained; During the current monitoring period, the feeding consistency index is obtained based on the amplitude frequency of the vibration data in each peeling cycle and the fluctuation of the feeding length between cycles; the cutting uniformity index of the current monitoring period is obtained based on the feeding consistency index during the current monitoring period and the uniformity of the cutting length deviation between each two peeling cycles; The peeling fluctuation degree of the current monitoring period is obtained by combining the required error degree of the exposed length after peeling in the monitoring period with the cutting uniformity index; the peeling efficiency of the current monitoring period is obtained based on the change of the peeling fluctuation degree between the current monitoring period and the previous monitoring period, as well as the length deviation of the metal wires after peeling; According to the changing relationship between the peeling efficiency and the feeding rate in the historical monitoring period and the peeling efficiency in the current monitoring period, the current optimization coefficient is obtained; the feeding rate in the subsequent monitoring period is adjusted according to the current optimization coefficient for peeling.

[0006] Furthermore, the method for obtaining the feeding consistency index includes: In each peeling cycle, the extreme value points of the vibration data are obtained; the time between each two adjacent extreme value points is used as each vibration time difference; the value of the negative correlation mapping of the amplitude mean of all vibration data in each peeling cycle is multiplied by the mean of all vibration time differences to obtain the operating stability of each peeling cycle; In the current monitoring period, the mean of the feeding length of all peeling cycles is negatively correlated to obtain the current feeding stability; The product of the mean of the operating stability of all peeling cycles and the feeding stability is used as the feeding consistency index of the current monitoring period.

[0007] Furthermore, the method for obtaining the cutting uniformity index includes: In each peeling cycle, the difference between the cutting length and the expected cutting length is recorded as the cutting deviation; the ratio of the cutting deviation to the preset error value is used as the cutting error degree of each peeling cycle; During the monitoring period, after calculating the difference in cutting errors between two different peeling cycles, the average of all differences is used as the cutting fluctuation of the current monitoring period; The cutting uniformity of the current monitoring period is obtained by combining the feeding consistency index and the cutting fluctuation of the current monitoring period.

[0008] Furthermore, the method for obtaining the peeling fluctuation includes: After calculating the difference between the exposed length in each peeling cycle and the expected exposed length, the mean of the differences in all peeling cycles is taken as the exposed error degree of the current monitoring period; The product of the value after negative correlation mapping of the cutting uniformity index of the current monitoring period and the exposure error degree is used as the peeling fluctuation degree of the current monitoring period.

[0009] Furthermore, the method for obtaining the peeling efficiency includes: In each monitoring period, the length difference between any two different metal wires on the exposed wire in each stripping cycle is calculated as the wire deviation; the average of all wire deviations on the exposed wire in each stripping cycle is taken as the wire length fluctuation of each stripping cycle; The ratio of the peeling volatility of the current monitoring period to that of the previous monitoring period is taken as the current time series volatility; The stripping efficiency of the current monitoring period is obtained by combining the timing fluctuation of the current monitoring period and the wire length fluctuation of all stripping periods.

[0010] Furthermore, the stripping efficiency of the current monitoring period is obtained by combining the timing fluctuation of the current monitoring period and the wire length fluctuation of all stripping periods, including: The sum of the conductor length fluctuations in all stripping cycles is taken as the conductor inconsistency of the current monitoring cycle; The product of the timing fluctuation and the wire inconsistency in the current monitoring period is negatively correlated to obtain the stripping efficiency in the current monitoring period.

[0011] Furthermore, the method for obtaining the optimization coefficient includes: First, the peeling efficiency of each monitoring period in the preset historical period is fitted to obtain the efficiency curve; the average feeding speed of each monitoring period in the preset historical period is fitted to obtain the rate curve; the degree of proximity between the efficiency curve and the rate curve is calculated and normalized to obtain the efficiency correlation; The normalized value of the peeling efficiency and the normalized value of the efficiency correlation of the current monitoring period are added together, and the optimization coefficient of the current monitoring period is obtained after negative correlation mapping.

[0012] Furthermore, the peeling is performed by adjusting the feeding rate of the subsequent monitoring period according to the current optimization coefficient, including: The product of the average feeding speed in the current monitoring period and the optimization coefficient is used as the average feeding speed in the next monitoring period.

[0013] Furthermore, the method for obtaining the extreme point includes: All vibration data in the peeling cycle are subjected to curve fitting to obtain a vibration curve; the point on the vibration curve where the first-order derivative is zero is taken as the extreme point.

[0014] The present invention also provides an insulation stripping device for wire processing, comprising a memory, a processor, and a computer program stored in the memory and runnable on the processor, wherein the processor implements the steps of any one of the above methods when executing the computer program.

[0015] The present invention has the following beneficial effects: The present invention evaluates the consistency and stability of the feeding mechanism by monitoring the vibration conditions during the feeding process and the difference between the wire feeding lengths in each stripping cycle, reflecting the fluctuations that may occur when feeding the wires. Then, the degree of deviation generated by collecting the length of the cut wires is analyzed to observe the quality of the wire cutting, reflecting the consistency of the cutting treatment of each wire during the wire stripping process. In addition, combined with the overall exposed length after stripping and the length of the detailed metal wires, the integrity of the wire conductors retained by the stripping is analyzed, and the stripping efficiency during the monitoring process is comprehensively characterized. Finally, the stripping efficiency and the relationship between the stripping efficiency and the wire feeding speed are used to optimize the wire feeding speed, so that the production efficiency and processing quality of the stripping equipment are guaranteed. The present invention adjusts the subsequent feeding rate by analyzing and monitoring the stability of the equipment operation and the consistency and integrity of the stripping during the stripping process, ensuring the appropriate state of the stripping equipment operation and ensuring efficient and high-quality wire stripping. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0017] Figure 1 A flow chart of an insulation stripping method for wire processing provided by one embodiment of the present invention; Figure 2 A schematic structural diagram of an insulation stripping device for wire processing provided by one embodiment of the present invention; Figure 3 A schematic structural diagram of a feeding device provided by one embodiment of the present invention; Figure 4 A schematic diagram of a vibration curve during a peeling cycle provided by one embodiment of the present invention; Figure 5 A schematic diagram of an efficiency curve and a rate curve provided by an embodiment of the present invention; In conjunction with the accompanying drawings, the following reference numerals are marked on the figure: 1. Stripping equipment body; 2. Wire to be stripped; 3. Line rail; 4. Photoelectric sensor; 5. Feeding mechanism; 6. Wire pressing roller; 7. Tool with adjustable pressure; 8. Waste collection box; 9. Discharging mechanism; 10. Finished product collection box after stripping; 11. Equipment display screen; 51. Photoelectric sensor; 71. Depth camera. DETAILED DESCRIPTION

[0018] To further illustrate the technical means and effectiveness of the present invention in achieving its intended objectives, the following, in conjunction with the accompanying drawings and preferred embodiments, describes in detail the specific implementation, structure, features, and effectiveness of a method and apparatus for stripping insulation layers for wire processing according to the present invention. In the following description, references to "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0019] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0020] The following is a detailed description of a method and device for stripping insulation layer for wire processing provided by the present invention in conjunction with the accompanying drawings. Figure 2 and Figure 3 When the wires are processed automatically, the required wire length and stripping degree must be input in advance, that is, the required cutting length and exposed length of the wires. Then the feeding mechanism 5 conveys the wires, with the purpose of preliminarily straightening the wires with different degrees of bending. Afterwards, the wires enter the wire pressing roller 6, and the preliminarily straightened wires are processed again. Then the wires pass through the cutter, and the photoelectric sensor 51 provided in the feeding mechanism is used to obtain the length of the fed wires. When the expected length is reached, the limit device in the wire pressing roller 6 fixes the wires, and the cutter performs stripping.

[0021] At this point, the wire is not completely cut, but only incised. This is to prevent contact between the metal wire and the discharge mechanism 9 from damaging the metal wire. The stripped insulation layer is collected in a waste collection box 8. After the discharge device collects the wire, when the required length is reached, the limit module is fixed, and the cutter strips the other end of the wire and cuts the required wire. The discharge mechanism 9 then transports the stripped wire to the finished product collection box 10 for collection. The device parameters and the wire stripping status can be obtained in real time through the device display 11, and the required wire stripping process is now complete.

[0022] During the wire stripping process, the stripping equipment cuts the outer insulation layer of the wire and exposes the metal conductor, which may face various problems. If the high-speed processing is not intervened in time, it may cause the tool to have uneven stripping depth, which may cause damage to the metal conductor in the wire and affect the electrical performance of the wire.

[0023] The insulation stripping device for wire processing also includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor. By collecting and processing data, a method for stripping the insulation layer for wire processing is realized. Figure 1 , which shows a flow chart of a method for stripping insulation for wire processing provided by one embodiment of the present invention, the method comprising the following steps: S1: In each stripping cycle during the monitoring period, the vibration data of the equipment, the feeding rate, feeding length and cutting length of the wire, as well as the exposed length of the wire after stripping and the length of the metal conductor on the exposed wire are obtained.

[0024] During the wire stripping process, the embodiment of the present invention counts the stripping process of one wire as one stripping cycle, and the monitoring period is within 5 minutes of equipment operation. Data is collected using sensors located at key locations on the equipment. A vibration sensor installed on the feeder mechanism collects vibration data to reflect the feeder's operational stability. A photoelectric sensor also records the feed length, cut length, and feed rate.

[0025] To analyze the quality of the stripping process, the exposed length is recorded after stripping to facilitate analysis of processing errors. A depth camera is used to capture the stripped image, analyze the edge line, and record the recorded length as the metal wire length. This embodiment of the present invention can rotate the stripped wire once to obtain a more complete picture of the metal wire lengths, facilitating observation of wire integrity. The specific collection settings can be adjusted by the implementer based on the specific implementation scenario and are not limited here.

[0026] S2: During the current monitoring period, the feeding consistency index is obtained based on the amplitude frequency of the vibration data in each peeling cycle and the fluctuation of the wire feeding length between cycles; the cutting uniformity index of the current detection period is obtained based on the feeding consistency index during the current monitoring period and the uniformity of the cutting length deviation between each two peeling cycles.

[0027] The stability of the feeding mechanism is directly related to the feeding speed and positioning accuracy of the wires. If the feeding is unstable, the stripping length will be inconsistent, affecting the quality of the joint and the reliability of the electrical connection, and easily causing low efficiency in the stripping production. Therefore, the consistency level is analyzed by analyzing the stability of the vibration in the cycle and the fluctuation of the feeding length in the monitoring period. In this embodiment of the present invention, the method for obtaining the feeding consistency index includes: First, in each peeling cycle, obtain the extreme points of the vibration data. By fitting all the vibration data in the peeling cycle, a vibration curve is obtained. The point where the first-order derivative of the vibration curve is zero is taken as the extreme point. The change between the extreme points of the vibration data reflects the stability. Figure 4 , which shows a schematic diagram of a vibration curve in a peeling cycle provided by an embodiment of the present invention. It should be noted that curve fitting is a technical means well known to those skilled in the art and will not be described in detail here.

[0028] The duration between each two adjacent extreme points is then used as each vibration time difference, reflecting the duration of a single vibration. The mean amplitude of all vibration data in each peeling cycle is negatively correlated and multiplied by the mean of all vibration time differences to obtain the operational stability of each peeling cycle. A smaller vibration time difference indicates a higher vibration frequency and greater instability. A larger amplitude indicates a higher vibration intensity and greater instability. Therefore, the mean amplitude of all vibration data in the peeling cycle is negatively correlated and combined with the vibration time difference to represent operational stability. A smaller amplitude and a larger vibration time difference indicate more stable operation.

[0029] It should be noted that negative correlation mapping is a technical means well known to those skilled in the art, and may be in the form of inverse proportion or negative exponential power, etc., which is not limited or elaborated herein.

[0030] Then, in the current monitoring period, the mean of the feeding length of all stripping cycles is negatively correlated and mapped to obtain the current feeding stability. The smaller the difference between the feeding lengths of different cycles in the monitoring period, the better the feeding consistency of the feeding mechanism during the stripping process of the wire processing equipment, and the more stable the processing process.

[0031] Therefore, considering both operational and feeding conditions, the product of the average operational stability of all stripping cycles and the feeding stability is used as the feed consistency indicator for the current monitoring period. If the feeding inconsistency is high, the wire feeding speed and length may fluctuate, resulting in uneven cutting lengths. To address this uneven cutting length, operators may need to frequently intervene manually to adjust the feeding speed and position. This intervention can disrupt the original feeding consistency.

[0032] Feeding consistency directly impacts the uniformity of wire cut lengths, which in turn can impact the stability of the feeding process. If the wire becomes stuck or intermittent during feeding, the cutting tool may cut at different feed positions, potentially causing variations in cut lengths and affecting the consistency of the final product. Therefore, considering the error in cut length during the stripping process, we analyze and monitor the uneven cutting that occurs during the monitoring process.

[0033] Preferably, in an embodiment of the present invention, the method for obtaining the cutting uniformity index includes: During each peeling cycle, the difference between the cut length and the expected cut length is recorded as the cutting deviation. The ratio of the cutting deviation to the preset error value is used as the cutting error for each peeling cycle. The ratio of the deviation between the cut length during the cycle and the required cut length to the allowable error value in actual processing represents the allowable error percentage of the deviation. The larger the cutting error, the less acceptable the deviation is in actual processing. It should be noted that the expected cut length and the expected error value are the required values ​​in actual processing. Implementers can adjust them based on the specific implementation scenario and are not restricted here.

[0034] During the monitoring period, the difference in cutting error between two different peeling cycles is calculated, and the average of all differences is used as the cutting fluctuation of the current monitoring period. By analyzing the fluctuation degree of the error between two cycles during the monitoring period, the degree of influence of the cutting fluctuation is reflected.

[0035] Then, the feed consistency is comprehensively considered, combined with the feed consistency index and cutting fluctuation during the current monitoring period, to obtain the cutting uniformity during the current monitoring period. In this embodiment of the present invention, the cutting uniformity is calculated by multiplying the value of the cutting fluctuation after negative correlation mapping with the feed consistency index. The smaller the cutting fluctuation and the higher the feed consistency, the higher the cutting uniformity and the better the processing efficiency.

[0036] The uniformity of wire cut lengths directly impacts the subsequent stripping process. Uneven cut lengths can result in wires of varying lengths being encountered during stripping, and stripping efficiency evaluation requires uniform input conditions. Uniform cut length ensures consistent treatment of each wire during the stripping process, thereby improving stripping quality and efficiency. Uniform cut lengths also reduce adjustment and adaptation time during stripping, improving efficiency.

[0037] S3: The peeling fluctuation degree of the current monitoring period is obtained by combining the required error degree of the exposed length after stripping in the monitoring period with the cutting uniformity index; the peeling efficiency of the current monitoring period is obtained based on the change of the peeling fluctuation degree between the current monitoring period and the previous monitoring period, as well as the length deviation of the metal wires after stripping.

[0038] Stripping efficiency directly affects the number of wires that can be processed per hour. Low stripping efficiency can slow down the overall production line, affecting production fluidity and efficiency. Stripping efficiency is not only related to the speed of insulation removal, but also closely related to whether the integrity of the conductor is damaged during the stripping process.

[0039] Therefore, the peeling efficiency is comprehensively analyzed considering the actual processing conditions after peeling. First, the peeling fluctuation is obtained based on the error degree of the exposed length after peeling to meet the requirements. In an embodiment of the present invention, the method for obtaining the peeling fluctuation includes: After calculating the difference between the exposed length and the expected exposed length during each stripping cycle, the average of these differences across all stripping cycles is used as the exposed length error for the current monitoring period. This error reflects the extent to which the exposed length meets the expected length in each stripping cycle. A greater exposed length error indicates a higher exposed length error during the monitoring period. It should be noted that the expected exposed length can be adjusted based on the specific scenario and is not a limitation here.

[0040] Then, the product of the value after negative correlation mapping of the cutting uniformity index of the current monitoring period and the exposure error is taken as the peeling fluctuation degree of the current monitoring period. The smaller the cutting uniformity index, the higher the possible fluctuation impact. The larger the peeling fluctuation degree, the worse the peeling quality.

[0041] At the same time, the integrity of the wire after stripping is taken into consideration. The more complete and consistent the metal wire after stripping is, the better the quality of the stripping process and the higher the efficiency. Therefore, the stripping efficiency is analyzed by combining the deviation of the metal wire after stripping. In an embodiment of the present invention, the method for obtaining the stripping efficiency includes: During each monitoring period, the length difference between any two different metal conductors on the exposed wire during each stripping cycle is calculated as the conductor deviation. A larger deviation indicates that some conductors were likely damaged during the stripping process, resulting in uneven lengths. The average of all conductor deviations during each stripping cycle is used as the conductor length fluctuation for each stripping cycle, reflecting the overall degree of wire damage during that cycle.

[0042] Then, the ratio of the peeling fluctuation degree between the current monitoring period and the previous monitoring period is used as the current time series fluctuation degree to characterize the change in the degree of fluctuation of the comprehensive analysis. The larger the ratio, the more unstable the peeling fluctuation is.

[0043] Therefore, the stripping efficiency for the current monitoring period is calculated by combining the timing fluctuation of the current monitoring period with the wire length fluctuation of all stripping cycles. In this embodiment of the present invention, the sum of the wire length fluctuations of all stripping cycles is used as the wire inconsistency for the current monitoring period, comprehensively analyzing the degree of damage across all cycles. The product of the timing fluctuation and wire inconsistency for the current monitoring period is negatively correlated to obtain the stripping efficiency for the current monitoring period. When the deviation fluctuation of the stripping during the monitoring period increases and the length difference between the metal wires increases, it indicates that the stripping efficiency during the wire processing process is lower.

[0044] S4: According to the changing relationship between the peeling efficiency and the feeding rate in the monitoring period in the historical time series and the peeling efficiency in the current monitoring period, the current optimization coefficient is obtained; and the feeding rate in the subsequent monitoring period is adjusted according to the current optimization coefficient for peeling.

[0045] By analyzing the stripping efficiency of the wire processing during the current monitoring time period, it is considered that there should be a positive correlation between the stripping efficiency and the feeding speed of the wire in the stripping equipment. If this relationship deviates during the wire feeding process, it may affect the subsequent wire stripping quality and reduce the consistency of the wire stripping quality.

[0046] Therefore, the relationship between the change in feed speed and stripping efficiency in all monitoring time periods before the current monitoring time is further analyzed, and the performance of the stripping equipment for wire processing is adaptively adjusted based on the feedback results to ensure high-efficiency operation of the equipment.

[0047] Preferably, in an embodiment of the present invention, the method for obtaining the optimization coefficient includes: First, the peeling efficiency of each monitoring period in the preset historical period is fitted to obtain the efficiency curve, and the average feeding speed of each monitoring period in the preset historical period is fitted to obtain the rate curve. Figure 5 , which shows a schematic diagram of an efficiency curve and a rate curve provided by an embodiment of the present invention. To facilitate the curve correlation analysis, the values ​​of the peeling efficiency and the feeding rate are normalized to remove the influence of the dimensional data range.

[0048] Then, the degree of proximity between the efficiency curve and the rate curve is calculated and normalized to obtain the efficiency correlation. In an embodiment of the present invention, the Pearson correlation coefficient can be used as the efficiency correlation to reflect the degree of positive correlation between the curves. It should be noted that the calculation of the correlation between curves is a technical means well known to those skilled in the art. The Euclidean distance or mean square error can also be used to calculate the approximate correlation degree of the curves. The specific method is not limited or elaborated here.

[0049] Finally, the normalized value of the stripping efficiency in the current monitoring period is added to the normalized value of the efficiency correlation, and the optimization coefficient of the current monitoring period is obtained after negative correlation mapping. The lower the stripping efficiency and the less obvious the correlation between the feeding speed and the stripping efficiency, the greater the adjustment of the wire feeding speed of the processing equipment to improve the processing consistency and production efficiency of the wire processing equipment. Therefore, the larger the optimization coefficient.

[0050] It should be noted that normalization is a technical means well known to those skilled in the art. The normalization options may be linear normalization or standard normalization, etc. The specific normalization method is not limited here.

[0051] Based on the optimization coefficient, in this embodiment of the present invention, the average feed speed during the current monitoring period, multiplied by the optimization coefficient, is used as the average feed speed for the next monitoring period. This average speed limits the actual feed speed during each stripping cycle, ensuring that it does not exceed the average speed and always remains close to the optimized average speed, thereby ensuring consistent quality during wire processing and stripping.

[0052] In an embodiment of the present invention, a comprehensive evaluation of the feeding speed and peeling efficiency can be performed regularly to generate data reports, analyze the equipment performance under different conditions, and adjust the production plan and equipment maintenance strategy based on the collected data to ensure that the peeling equipment is always in the best condition, so as to achieve the best balance between the quality of the final product and production efficiency.

[0053] In summary, the present invention evaluates the consistency and stability of the feeding mechanism by monitoring the vibration conditions during the feeding process and the differences between the wire feeding lengths in each stripping cycle, reflecting the fluctuations that may occur when feeding the wires. Then, the degree of deviation generated by collecting the length of the cut wires is analyzed to observe the quality of the wire cutting, reflecting the consistency of the cutting treatment of each wire during the wire stripping process. In addition, combined with the overall exposed length after stripping and the length of the detailed metal wires, the integrity of the wire conductors retained by the stripping is analyzed, and the stripping efficiency during the monitoring process is comprehensively characterized. Finally, the stripping efficiency and the relationship between the stripping efficiency and the wire feeding speed are used to optimize the wire feeding speed, so that the production efficiency and processing quality of the stripping equipment are guaranteed. The present invention adjusts the subsequent feeding rate by analyzing and monitoring the stability of the equipment operation and the consistency and integrity of the stripping during the stripping process, ensuring the appropriate state of the stripping equipment operation and ensuring efficient and high-quality wire stripping.

[0054] It should be noted that the order in which the embodiments of the present invention are described above is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0055] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

Claims

1. A method for stripping insulation layer for wire processing, characterized in that: The method comprises: During each stripping cycle during the monitoring period, the vibration data of the equipment, the feeding rate, feeding length and cutting length of the wire, as well as the exposed length of the wire after stripping and the length of the metal conductor on the exposed wire are obtained; During the current monitoring period, the feeding consistency index is obtained based on the amplitude frequency of the vibration data in each peeling cycle and the fluctuation of the feeding length between cycles; the cutting uniformity index of the current monitoring period is obtained based on the feeding consistency index during the current monitoring period and the uniformity of the cutting length deviation between each two peeling cycles; The peeling fluctuation degree of the current monitoring period is obtained by combining the required error degree of the exposed length after peeling in the monitoring period with the cutting uniformity index; the peeling efficiency of the current monitoring period is obtained based on the change of the peeling fluctuation degree between the current monitoring period and the previous monitoring period, as well as the length deviation of the metal wires after peeling; According to the changing relationship between the peeling efficiency and the feeding rate in the historical monitoring period and the peeling efficiency in the current monitoring period, the current optimization coefficient is obtained; the feeding rate in the subsequent monitoring period is adjusted according to the current optimization coefficient for peeling.

2. The method for stripping insulation layer for wire processing according to claim 1, characterized in that: The method for obtaining the feeding consistency index includes: In each peeling cycle, the extreme value points of the vibration data are obtained; the time between each two adjacent extreme value points is used as each vibration time difference; the value of the negative correlation mapping of the amplitude mean of all vibration data in each peeling cycle is multiplied by the mean of all vibration time differences to obtain the operating stability of each peeling cycle; In the current monitoring period, the mean of the feeding length of all peeling cycles is negatively correlated to obtain the current feeding stability; The product of the mean of the operating stability of all peeling cycles and the feeding stability is used as the feeding consistency index of the current monitoring period.

3. The method for stripping insulation layer for wire processing according to claim 1, characterized in that: The method for obtaining the cutting uniformity index includes: In each peeling cycle, the difference between the cutting length and the expected cutting length is recorded as the cutting deviation; the ratio of the cutting deviation to the preset error value is used as the cutting error degree of each peeling cycle; During the monitoring period, after calculating the difference in cutting errors between two different peeling cycles, the average of all differences is used as the cutting fluctuation of the current monitoring period; The cutting uniformity of the current monitoring period is obtained by combining the feeding consistency index and the cutting fluctuation of the current monitoring period.

4. The method for stripping insulation layer for wire processing according to claim 1, characterized in that: The method for obtaining the peeling fluctuation degree includes: After calculating the difference between the exposed length in each peeling cycle and the expected exposed length, the mean of the differences in all peeling cycles is taken as the exposed error degree of the current monitoring period; The product of the value after negative correlation mapping of the cutting uniformity index of the current monitoring period and the exposure error degree is used as the peeling fluctuation degree of the current monitoring period.

5. The method for stripping insulation layer for wire processing according to claim 1, characterized in that: The method for obtaining the peeling efficiency includes: In each monitoring period, the length difference between any two different metal wires on the exposed wire in each stripping cycle is calculated as the wire deviation; the average of all wire deviations on the exposed wire in each stripping cycle is taken as the wire length fluctuation of each stripping cycle; The ratio of the peeling volatility of the current monitoring period to that of the previous monitoring period is taken as the current time series volatility; The stripping efficiency of the current monitoring period is obtained by combining the timing fluctuation of the current monitoring period and the wire length fluctuation of all stripping periods.

6. The method for stripping insulation layer for wire processing according to claim 5, characterized in that: The stripping efficiency of the current monitoring period is obtained by combining the timing fluctuation of the current monitoring period and the wire length fluctuation of all stripping periods, including: The sum of the conductor length fluctuations in all stripping cycles is taken as the conductor inconsistency of the current monitoring cycle; The product of the timing fluctuation and the wire inconsistency in the current monitoring period is negatively correlated to obtain the stripping efficiency in the current monitoring period.

7. The method for stripping insulation layer for wire processing according to claim 1, characterized in that: The method for obtaining the optimization coefficient includes: First, the peeling efficiency of each monitoring period in the preset historical period is fitted to obtain the efficiency curve; the average feeding speed of each monitoring period in the preset historical period is fitted to obtain the rate curve; the degree of proximity between the efficiency curve and the rate curve is calculated and normalized to obtain the efficiency correlation; The normalized value of the peeling efficiency and the normalized value of the efficiency correlation of the current monitoring period are added together, and the optimization coefficient of the current monitoring period is obtained after negative correlation mapping.

8. The method for stripping insulation layer for wire processing according to claim 1, characterized in that: The step of adjusting the feeding rate of the subsequent monitoring period according to the current optimization coefficient for peeling includes: The product of the average feeding speed in the current monitoring period and the optimization coefficient is used as the average feeding speed in the next monitoring period.

9. The method for stripping insulation layer for wire processing according to claim 2, characterized in that: The method for obtaining the extreme point includes: All vibration data in the peeling cycle are subjected to curve fitting to obtain a vibration curve; the point on the vibration curve where the first-order derivative is zero is taken as the extreme point.

10. An insulation stripping device for wire processing, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 9 are implemented.

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