A method of processing a non-woven shielded fire resistant data cable

Abstract

The application relates to the technical field of cable processing, in particular to a non-woven shielding type fireproof data cable processing method, which comprises the following steps: obtaining tension data of each copper wire in a fireproof data cable processing process and rotating speed data in a winding process, analyzing a non-linear change coefficient of the tension data of the copper wire in each time period, combining a fluctuation degree of a frequency amplitude of the tension data of the copper wire in each time period in a frequency domain, obtaining abnormal values of non-linear change and random violent shaking of the tension data of the copper wire in each time period, analyzing a correlation between the rotating speed data in each time period and the tension data of each copper wire, obtaining an influence coefficient of a copper wire tension difference and rotating speed change during shielding layer processing, combining a gap change degree between the copper wires to obtain a gap abnormality coefficient, adjusting a gain coefficient of copper wire tension adjustment in the fireproof data cable processing process, and completing the processing of the fireproof data cable. The application can improve the processing quality of the fireproof data cable.

Description

Technical Field

[0001] This application relates to the field of cable processing technology, specifically to a method for processing a non-braided shielded fire-resistant data cable. Background Technology

[0002] Cable shielding is a protective layer wrapped around the inner conductor of a cable. It is used to prevent external electromagnetic interference and radio frequency interference from interfering with signals transmitted through the cable, or to prevent the cable itself from interfering with other nearby equipment or systems. Spiral cable shielding is often used in flexible cables with medium and low frequencies due to its good flexibility and strong dynamic adaptability. During the manufacturing process, the shielding layer requires a coiling machine to evenly wind metal strips or copper wires onto the cable.

[0003] The tension control of the copper wire is a key factor affecting the winding quality of the shielding layer. Unstable tension can easily lead to loose copper wire, affecting the neatness and tightness of the winding. Currently, adjustment is usually based solely on whether there are abnormal changes in tension. However, tension monitoring can be affected by various factors, such as friction or mechanical vibration, which can influence the judgment of the winding status, resulting in untimely and inaccurate processing adjustments. For example, occasional abnormal tension has little impact on the winding of the copper wire shielding layer, while the system's response to abnormalities is too sensitive, leading to unstable winding quality of the shielding layer. Summary of the Invention

[0004] To address the aforementioned technical problems, this application provides a method for processing non-braided shielded fire-resistant data cables, thereby resolving the existing issues.

[0005] The processing method for a non-braided shielded fire-resistant data cable of this application adopts the following technical solution:

[0006] One embodiment of this application provides a method for processing a non-braided shielded fire-resistant data cable, including the following steps:

[0007] Obtain tension data of each copper wire and rotation speed data during the winding process in the processing of fire-resistant data cables;

[0008] Linear fitting was performed on the tension data of each copper wire in each time period. By combining the degree of linear fitting of the tension data in each time period and the deviation of the tension data from the fitted line, the nonlinear variation coefficient of the tension data of the copper wire in each time period was obtained.

[0009] Based on the fluctuation of the frequency amplitude of the copper wire tension data in the frequency domain at different time periods, and combined with the nonlinear change coefficient of the tension data, the abnormal values ​​of nonlinear change and random violent shaking of the copper wire tension data in different time periods are obtained.

[0010] Based on the correlation between rotation speed data and tension data of each copper wire in each time period, and combined with the differences in nonlinear changes in tension data and abnormal values ​​of random and violent fluctuations of different copper wires in each time period, the influence coefficient of the difference in copper wire tension and rotation speed during the shielding layer processing in each time period is obtained.

[0011] The degree of change in the gap data between copper wires in each time period is analyzed. Combined with the influence coefficients corresponding to each time period, the gap anomaly coefficient for each time period is obtained. This coefficient is used to adjust the gain coefficient of copper wire tension adjustment during the processing of fire-resistant data cables, thereby completing the processing of fire-resistant data cables.

[0012] Preferably, the method for calculating the nonlinear variation coefficient of the tension data of the copper wire in different time periods is as follows:

[0013] , Let be the nonlinear variation coefficient of the tension data of the copper wire in the i-th time period. Let be the coefficient of determination of the fitted straight line after fitting the tension data in the i-th time period. Let be the instantaneous anomaly coefficient of tension in the i-th time period.

[0014] Preferably, obtaining the instantaneous anomaly coefficient of tension in each time period further includes: extracting the outliers of tension data in each time period, and using the sum of the Euclidean distances between all outliers and the corresponding fitted lines in each time period as the instantaneous anomaly coefficient of tension in each time period.

[0015] Preferably, the method for calculating the nonlinear changes in tension data and outliers of random, severe fluctuations in the copper wire over different time periods is as follows:

[0016] In the formula, This represents the nonlinear changes and outliers of random, violent fluctuations in the tension data of the copper wire during the i-th time period. Let be the standard deviation of the amplitude corresponding to all frequencies other than the main frequency of the tension data in the i-th time period. is the nonlinear variation coefficient of the tension data of the copper wire in the i-th time period.

[0017] Preferably, the acquisition of the main frequencies of tension data in each time period further includes: performing frequency domain transformation on the tension data in each time period to obtain the amplitude spectrum of each frequency, and taking the frequency corresponding to the highest amplitude in each frequency amplitude spectrum as the main frequency of tension data in each time period.

[0018] Preferably, the method for calculating the influence coefficient of the shielding layer processing under the influence of differences in copper wire tension and rotation speed during each time period is as follows:

[0019] In the formula, This represents the influence coefficient of the difference in copper wire tension and rotation speed during the processing of the shielding layer in the i-th time period. The tension-speed synchronization coefficient for the i-th time period is obtained by the correlation between the speed data and the tension data of each copper wire within the i-th time period. The absolute value of the difference between the nonlinear changes in tension data and the outliers of random, violent fluctuations of the two copper wires during the i-th time period is taken. To avoid constants with a denominator of 0.

[0020] Preferably, obtaining the tension-speed synchronization coefficient for each time period further includes: calculating the average value of the correlation coefficient between the speed data and the tension data of each copper wire in each time period, and using it as the tension-speed synchronization coefficient for each time period.

[0021] Preferably, the method for obtaining the gap anomaly coefficient for each time period is as follows: by analyzing the dispersion of the gap data between copper wires in each time period, the gap non-uniformity coefficient for each time period is obtained, and the DTW distance between the gap non-uniformity coefficient and the influence coefficient for each time period and the previous multiple time periods is calculated as the gap anomaly coefficient for each time period.

[0022] Preferably, the non-uniformity coefficient of the gap in each time period is further the standard deviation of the gap data between copper wires in each time period.

[0023] Preferably, adjusting the gain coefficient for adjusting the copper wire tension during the processing of the fire-resistant data cable further includes:

[0024] The formula for calculating the gain coefficient M of the sliding membrane variable structure in the next time period is: In the formula, L represents the normalized result of the gap anomaly coefficient for the current time period. This is the minimum value within the preset range of gain coefficient values. This is the difference between the maximum and minimum values ​​within the preset range of gain coefficient values.

[0025] This application has at least the following beneficial effects:

[0026] This application optimizes existing methods for spiral cable shielding. By deeply analyzing the nonlinear changes and random, severe vibrations of copper wire tension, and considering the influence of differences in copper wire tension and rotation speed, it obtains the influence coefficients of these factors during shielding layer processing. Its advantage lies in its ability to more accurately reflect the interference of processing conditions on the uniformity of the shielding layer gap compared to existing methods. Furthermore, by combining the fluctuation degree of the gap data, it optimizes the relevant parameters of the sliding membrane variable structure, compensating for the defect of unstable shielding layer winding quality and improving the processing quality of fire-resistant data cables. Attached Figure Description

[0027] To more clearly illustrate the technical solutions and advantages in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0028] Figure 1 A flowchart illustrating the steps of a non-braided shielded fire-resistant data cable processing method provided in this application. Detailed Implementation

[0029] To further illustrate the technical means and effects adopted by this application to achieve the intended purpose of the invention, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of a non-braided shielded fire-resistant data cable processing method proposed in this application. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0030] Unless otherwise defined, terms such as “comprising,” “including,” or any other variations thereof are intended to cover a non-exclusive inclusion, such that a circuit structure, article, or device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such an article or device. Without further limitation, an element defined by the phrase “comprising one…” does not exclude the presence of other identical elements in the article or device that includes said element. Furthermore, the term “and / or” as used herein includes any and all combinations of one or more of the associated listed items. 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 application pertains.

[0031] The following description, in conjunction with the accompanying drawings, details a specific scheme for processing a non-braided shielded fire-resistant data cable provided in this application.

[0032] This application provides a method for processing a non-braided shielded fire-resistant data cable according to one embodiment. For details, please refer to [link to specific documentation]. Figure 1 This includes the following steps:

[0033] Step 1: Obtain the tension data of each copper wire and the rotation speed data during the winding process of the fire-resistant data cable.

[0034] In this embodiment, the non-braided shielded fire-resistant data cable structure comprises a conductor, an insulation layer, a fire-resistant layer, a shielding layer, and a sheath. The conductor is made of high-quality copper and is precision-drawn using a drawing machine to process the raw copper into conductor wire that meets cable specifications. During the drawing process, the dimensional accuracy of the drawing die, the drawing speed, and the tension are strictly controlled to ensure a smooth and flat conductor surface free of scratches and burrs, meeting the surface quality requirements of subsequent processing. After drawing, the conductor undergoes annealing. Annealing is carried out in a continuous annealing equipment or a bell-type annealing furnace, with precise control of the annealing temperature and time to eliminate internal stress generated during the drawing process, improve the conductor's flexibility and machinability, and help the cable maintain good electrical and mechanical properties in practical applications.

[0035] The insulation layer is made of cross-linked polyethylene. First, the raw materials are dried to remove moisture and prevent air bubbles from forming during extrusion. The treated insulation material is then placed in the hopper of an extruder and heated to melt. Through the rotation of the screw, the molten insulation material is evenly extruded onto the conductor to form the insulation layer. The refractory layer material is mica tape. A horizontal mica tape wrapping machine is used to tightly wrap the refractory material around the insulation layer at a specific wrapping angle and pitch.

[0036] For the shielding layer of the data cable, this embodiment uses spiral cable shielding technology for processing. The shielding material is copper wire, which is spirally rotated around the cable using a large winding machine. Compared with braided shielded cables, this is more suitable for flexible cables with medium and low frequencies. After the fire-resistant layer is processed, the cable is placed in a paralleling mold. A suspended wire distributor is placed at the front of the paralleling mold. The wire distributor has two symmetrical and evenly distributed copper wire through holes. The inclination angle of the through holes is the same as the twisting angle of the copper wire. The wire distributor can rotate synchronously with the copper wire, which stabilizes the copper wire and controls its tension and position, ensuring that the wire cores are evenly distributed during the stranding process. The wire distributor above the stranding body is used to control and guide the wire cores into the stranding body.

[0037] During the winding process, the tension of the copper wire is a key factor affecting the uniform distribution of the copper wire and preventing wire compression. For example, if the tension is too low, the copper wire may not be tightly wound on the cable, resulting in loose wires and reduced cable shielding effectiveness; while if the tension is too high, the copper wire may be wound too tightly in some areas, potentially causing wire compression. During operation, it is necessary to maintain a stable winding force on the cable surface. Since the winding speed may be adjusted according to actual needs or the start and stop of the winding machine may vary, the tension of the copper wire should ideally change synchronously with the winding speed to ensure uniform winding.

[0038] In complex industrial production environments, existing methods typically rely solely on abnormal changes in tension for control. However, tension data detection can be affected by various interference factors, such as friction or mechanical vibration, which can influence the judgment of the winding state, leading to untimely and inaccurate processing adjustments. For example, instantaneous tension anomalies have minimal impact on the winding of the copper wire shielding layer, while the system's overly sensitive response to anomalies results in overshoot. Therefore, this embodiment, through in-depth analysis of the relationship between tension state and winding data, further considers the changing state of the copper wire winding gap to precisely control tension, thereby improving the processing quality stability of the shielding layer.

[0039] Therefore, in this embodiment, the tension data of each copper wire and the rotation speed data during the winding process are obtained through the parameter monitoring system of the winding machine. The data acquisition frequency is set to 100HZ. In actual application scenarios, the implementer can set it himself.

[0040] Step 2: Perform linear fitting on the tension data of each copper wire in each time period. Combine the degree of linear fitting of the tension data in each time period and the deviation of the tension data from the fitted line to obtain the nonlinear variation coefficient of the tension data of the copper wire in each time period.

[0041] Under normal operating conditions, tension changes are relatively linear. However, during winding, the copper wire tension may be affected by friction from multiple locations, such as the threading hole or the pay-off reel, resulting in nonlinear changes and random, violent fluctuations. Nonlinear changes manifest as instantaneous anomalies caused by friction or small overall increases or decreases within a short period. Since tension changes are relatively rapid, this embodiment uses a 10-second time interval as an example. Taking the tension data of one copper wire as an example, the least squares method is used to linearly fit the tension data within the i-th time interval to obtain the corresponding fitted line. The coefficient of determination of the fitted line is then calculated, and the coefficient of determination of the fitted line after fitting the tension data within the i-th time interval is denoted as [missing information]. The coefficient of determination is between [0,1], and the obtained The smaller the value, the worse the linear fit of the data, and the more obvious the small overall increase or decrease characteristics of the tension data in the short term.

[0042] Furthermore, the SOS (Stochastic Outlier Selection) algorithm is used to obtain outliers in the tension data within the i-th time period. The Euclidean distance between each outlier and the fitted line corresponding to the tension data within the i-th time period is calculated. The sum of all Euclidean distances is used as the instantaneous outlier coefficient of the tension in the i-th time period, denoted as... This value reflects the instantaneous abnormal characteristics of tension caused by intense friction.

[0043] By combining the determination coefficient of the fitted straight line of tension data within each time period and the instantaneous anomaly coefficient of tension, the nonlinear variation coefficient of tension for each copper wire in each time period is calculated. In this embodiment, the specific calculation formula is as follows: , Let be the nonlinear variation coefficient of the tension data of the copper wire in the i-th time period. Let be the coefficient of determination of the fitted straight line after fitting the tension data in the i-th time period. Let be the instantaneous anomaly coefficient of tension in the i-th time period. The nonlinear change coefficient of tension data is used to characterize the nonlinear change characteristics of instantaneous anomalies in tension data caused by friction or small overall increases or decreases in a short period of time.

[0044] Step 3: Based on the fluctuation of the frequency amplitude of the tension data of the copper wire in the frequency domain at each time period, and combined with the nonlinear change coefficient of the tension data, obtain the abnormal values ​​of nonlinear change and random violent shaking of the tension data of the copper wire in each time period.

[0045] Furthermore, the influence of random and severe vibrations makes the frequency composition of the tension data more complex. When the winding machine is running smoothly, the copper wire tension data mainly contains low-frequency information. Therefore, frequency domain transformation is performed on the tension data for each time period. In this embodiment, for each copper wire, a discrete Fourier transform is used to obtain the frequency amplitude spectrum of the tension data for each time period. The frequency corresponding to the highest amplitude value in the frequency amplitude spectrum is the main frequency of the tension data for each time period. The standard deviation of the amplitude corresponding to all frequencies other than the main frequency is calculated. The standard deviation of the amplitude corresponding to all frequencies other than the main frequency of the tension data in the i-th time period is denoted as . The result This reflects the complex characteristics of the frequency components of tension data due to random and violent shaking.

[0046] Therefore, for any copper wire, based on the nonlinear variation coefficient of tension in each time period and the fluctuation of the frequency amplitude of the tension data in the frequency domain, the abnormal values ​​of nonlinear variation and random violent jitter of the tension data in each time period are calculated. In this embodiment, the specific formula is as follows: In the formula, Let be the standard deviation of the amplitude corresponding to all frequencies other than the main frequency of the tension data in the i-th time period. The nonlinear changes and random violent fluctuations of the tension data of the copper wire in the i-th time period are considered as abnormal values, which are used to reflect the abnormal characteristics of nonlinear changes and random violent fluctuations of the shielding copper wire during the winding process.

[0047] By repeating the steps described in this embodiment, abnormal values ​​of linear variation and random violent fluctuations of all copper wires in each time period can be obtained.

[0048] Step 4: Based on the correlation between the rotation speed data and the tension data of each copper wire in each time period, and combined with the differences in the nonlinear changes in the tension data of different copper wires and the abnormal values ​​of random and violent fluctuations in each time period, obtain the influence coefficient of the difference in copper wire tension and rotation speed during the shielding layer processing in each time period.

[0049] During the processing of the spiral cable shielding layer, two copper wires are wound simultaneously. Under normal circumstances, the tension data between the copper wires are similar. However, due to various factors, significant differences in tension may occur between the copper wires, such as varying degrees of friction at different wire holes. The greater this difference, the more likely it is to cause uneven distribution of the copper wires in the shielding layer. Due to the randomness of tension changes, comparing outliers rather than directly using tension data can more accurately reflect these differences. Furthermore, during proper operation, tension and winding speed are usually positively correlated. If the winding speed increases, the tension will increase accordingly to maintain a uniform distribution of the copper wires; conversely, when the winding speed decreases, the tension will decrease appropriately. Therefore, in this embodiment, the correlation coefficient between the rotation speed data and the tension data of each copper wire in the i-th time period is calculated, and the average value of the correlation coefficient between the rotation speed data and the tension data of each copper wire in the i-th time period is calculated as the tension-rotation speed synchronization coefficient for the i-th time period, used to reflect the synchronicity of tension and rotation speed changes of the shielding layer copper wires during the winding process. It should be noted that the correlation coefficient used in this embodiment is the Spearman correlation coefficient. In actual application scenarios, implementers may use other correlation coefficients for evaluation.

[0050] Therefore, considering the nonlinear changes in tension data of different copper wires over various time periods and the differences in outliers caused by random and severe vibrations, the influence coefficients of the differences in copper wire tension and rotation speed during the shielding layer processing in each time period are calculated. The formula is as follows: In the formula, Let be the tension-speed synchronization coefficient for the i-th time period. The absolute value of the difference between the nonlinear changes in tension data and the outliers of random, violent fluctuations of the two copper wires during the i-th time period is taken. This represents the influence coefficient of the difference in copper wire tension and rotation speed during the processing of the shielding layer in the i-th time period. To avoid constants with a denominator of 0, this embodiment uses a value of 1.1. The resulting... The larger the value, the greater the influence of differences in copper wire tension and rotation speed on the shielding layer processing during that time period.

[0051] Step 5: Analyze the degree of change in the gap data between copper wires in each time period, and combine it with the influence coefficients corresponding to each time period to obtain the gap anomaly coefficient for each time period. This coefficient is used to adjust the gain coefficient of copper wire tension adjustment during the processing of fire-resistant data cables, thereby completing the processing of fire-resistant data cables.

[0052] Furthermore, the uniformity of the gap between the copper wires in the shielding layer directly affects the shielding performance of the data cable. According to national standards, the number and cross-section of copper wires in copper-shielded high-voltage cross-linked cables must first meet the requirements of short-circuit current, and secondly, the gap between the shielding copper wires must be uniform, with an average gap of no more than 4 mm and a maximum gap of no more than 8 mm. In this embodiment, a gap difference meter is used to collect gap data between two copper wires, with a data acquisition time interval of 1 second, thereby obtaining gap data of the two copper wires at different positions. The uniformity of the gap depends on the stability of tension and winding speed; the synergistic effect of these two factors ensures the orderly arrangement of the copper wires. In actual processing, the greater the influence of differences in copper wire tension and changes in rotation speed, the more significant the corresponding gap non-uniformity will be.

[0053] Therefore, in this embodiment, the processing status is monitored and controlled in real time based on the changes in gap data over multiple consecutive time periods. The standard deviation of the gap data between copper wires in each time period is calculated as the gap non-uniformity coefficient for each time period, reflecting the degree of non-uniformity in the distribution of the copper wire gaps in the shielding layer within each time period. In this embodiment, N is set to 5. Furthermore, the DTW distance between the gap non-uniformity coefficient and the influence coefficient for each time period and the N time periods preceding it is calculated as the gap anomaly coefficient for each time period, used to reflect the abnormal characteristics of the copper wire gaps in each time period during shielding layer processing due to tension differences and rotational speed changes.

[0054] The tension of the copper wire during processing is a key factor affecting the quality of the shielding layer. In this embodiment, the tension is adjusted based on the gap anomaly coefficient, and a sliding diaphragm variable structure is used to control the pneumatic proportional valve, thereby achieving intelligent tension control. The larger the gap anomaly coefficient, the more significant the influence of tension differences and rotational speed changes on the copper wire winding. A larger gain coefficient should be set in the sliding diaphragm variable structure to improve the rapid response to abnormal conditions; otherwise, a smaller gain coefficient should be set to avoid the pneumatic proportional valve adjustment system being overly sensitive to anomalies.

[0055] Preferably, in this embodiment, the tanh function is first used to normalize the gap anomaly coefficient of the current time period, and the result is denoted as L. The preset range of the gain coefficient is typically set to [-6, -2]. In this embodiment, the range of the gain coefficient is [-6, -2]. Based on the adjustment relationship between the gap anomaly coefficient and the gain coefficient, the optimal gain coefficient is selected within the set range. The gain coefficient formula is: In the formula, L is the normalized result of the gap anomaly coefficient in the current time period, and M is the gain coefficient of the synovial variable structure in the next time period. The minimum value within the preset range of gain coefficient values ​​is set to -6 in this embodiment. The value is the difference between the maximum and minimum values ​​within the preset gain coefficient range; in this embodiment, it is 4. Based on the methods and steps described above in this embodiment, adaptive adjustment of the copper wire tension data during the processing of fire-resistant data cables can be achieved, which helps improve the stability of the shielding layer processing quality.

[0056] Further, after the shielding layer processing is completed, the sheath processing is performed. In this embodiment, the sheath material is low-smoke halogen-free flame-retardant polyolefin. The sheath material is placed in an extruder and heated to melt. Then, the molten sheath material is uniformly extruded onto the cable that has completed the above process through an extrusion die to form the outer sheath. Each core wire processed in the above process is inspected to ensure that its quality meets the requirements, such as conductor resistance, insulation layer thickness and withstand voltage performance, and fire-resistant layer integrity. According to the cable design requirements, the stranding pitch and direction are determined. Each core wire is placed in the corresponding position on the stranding machine, and the stranding machine is started to strand each core wire according to the set pitch and direction to form the cable core, thereby completing the processing of the non-braided shielded fire-resistant data cable.

[0057] It is understood that references to "one embodiment" or "some embodiments" in this specification mean that one or more embodiments of this application include the specific features, structures, or characteristics described in connection with that embodiment. Therefore, the appearance of phrases such as "in one embodiment," "in some embodiments," "in other embodiments," or "in still other embodiments" in different parts of this specification does not necessarily refer to the same embodiment, but rather means "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof all mean "including but not limited to," unless otherwise specifically emphasized.

[0058] It should be noted that the order of the embodiments described above is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. Furthermore, the above description focuses on specific embodiments of this specification. Additionally, the processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired results. In some implementations, multitasking and parallel processing are possible or may be advantageous. Moreover, the sequence numbers of the steps in the embodiments do not imply a specific order of execution; the execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments in this specification.

[0059] The above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method of processing a non-woven shielded fire resistant data cable, characterized by, The method comprises the following steps: Obtaining tension data of each copper wire in the process of processing the fire-resistant data cable and rotation speed data in the winding process; Linearly fitting the tension data of each copper wire in each time period, combining the linear fitting degree of the tension data in each time period and the deviation of the tension data from the fitting straight line, and obtaining a non-linear change coefficient of the tension data of the copper wire in each time period; According to the correlation between the rotation speed data and the tension data of each copper wire in each time period, combining the differences in the non-linear change and random severe jitter of the tension data of different copper wires in each time period, obtaining an influence coefficient of the copper wire tension difference and rotation speed change during the processing of the shielding layer in each time period; Analyzing the change degree of the gap data between the copper wires in each time period, combining the influence coefficient corresponding to each time period, obtaining a gap abnormality coefficient of each time period, and adjusting the gain coefficient of the copper wire tension adjustment in the process of processing the fire-resistant data cable, thereby completing the processing of the fire-resistant data cable. The calculation method of the non-linear change coefficient of the tension data of the copper wire in each time period is:

2. A method of processing a non-woven shielded fire resistant data cable as claimed in claim 1, wherein, The acquisition of the instantaneous abnormality coefficient of the tension in each time period further comprises: extracting the abnormal values of the tension data in each time period, and taking the cumulative sum of the Euclidean distance between all abnormal values in each time period and the corresponding fitting straight line as the instantaneous abnormality coefficient of the tension in each time period. , is the non-linear change coefficient of the tension data of the copper wire in the i th time period, is the determination coefficient of the fitted straight line after fitting the tension data in the i th time period, is the instantaneous abnormal coefficient of the tension in the i th time period.

3. A method of processing a non-woven shielded fire resistant data cable as set forth in claim 2, wherein, The calculation method of the non-linear change and random severe jitter of the tension data of the copper wire in each time period is:

4. A method of processing a non-woven shielded fire resistant data cable as defined in claim 1, wherein, The acquisition of the main frequency of the tension data in each time period further comprises: performing frequency domain transformation on the tension data in each time period to obtain a frequency amplitude spectrum, and taking the frequency corresponding to the highest amplitude in each frequency amplitude spectrum as the main frequency of the tension data in each time period. , wherein, is the abnormal value of the non-linear change and the random violent jitter of the tension data of the copper wire in the i-th time period, is the standard deviation of the amplitudes corresponding to all frequencies other than the main frequency of the tension data in the i-th time period, is the non-linear change coefficient of the tension data of the copper wire in the i-th time period.

5. A method of processing a non-woven shielded fire resistant data cable as defined in claim 4, wherein, The calculation method of the influence coefficient of the copper wire tension difference and rotation speed change during the processing of the shielding layer in each time period is:

6. A method of processing a non-woven shielded fire resistant data cable as defined in claim 1, wherein, The acquisition of the tension-rotation speed synchronization coefficient of each time period further comprises: calculating the average value of the correlation coefficient between the rotation speed data and the tension data of each copper wire in each time period, as the tension-rotation speed synchronization coefficient of each time period. , wherein, is the influence coefficient of copper wire tension difference and speed change in the i th time period, is the tension-speed synchronization coefficient of the i th time period, obtained by the correlation between the speed data and the tension data of each copper wire in the i th time period, is the absolute value of the difference between the abnormal values of the nonlinear change and the random violent jitter of the tension data of the two copper wires in the i th time period, is a constant to avoid a denominator of 0.

7. A method of processing a non-woven shielded fire resistant data cable as defined in claim 6, wherein, The acquisition method of the gap abnormality coefficient of each time period is: obtaining a gap non-uniformity coefficient of each time period through the dispersion of the gap data between the copper wires in each time period, calculating the DTW distance between the gap non-uniformity coefficient of each time period and the influence coefficient of multiple time periods before the time period, and taking the DTW distance as the gap abnormality coefficient of each time period.

8. A method of processing a non-woven shielded fire resistant data cable as defined in claim 1, wherein, The gap non-uniformity coefficient of each time period is further the standard deviation of the gap data between the copper wires in each time period.

9. A method of processing a non-woven shielded fire resistant data cable as defined in claim 8, wherein, The adjustment of the gain coefficient of the copper wire tension adjustment in the process of processing the fire-resistant data cable further comprises:

10. A method of processing a non-woven shielded fire resistant data cable as defined in claim 1, wherein, ​ The calculation formula of the gain coefficient M of the next time period sliding film variable structure of the current time period is: , wherein L is the normalized result of the clearance abnormality coefficient of the current time period, is the minimum value of the value range of the preset gain coefficient, is the difference between the maximum value and the minimum value of the value range of the preset gain coefficient.

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