A method, device, equipment and medium for controlling wire diameter of extruder cable

By real-time monitoring and analysis of cable outer diameter data, and automatically adjusting the extruder speed with PID control signals, the problem of unstable cable diameter is solved and production efficiency and product quality are improved.

CN119319666BActive Publication Date: 2025-04-22WUHAN NO 2 WIRE & CABLE CO LTD
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Patent Information

Application Number
CN202411868817.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-12-18
Publication Date
2025-04-22
Estimated Expiration
2044-12-18

AI Technical Summary

Technical Problem

Existing cable extrusion equipment relies on manual adjustment, resulting in unstable cable diameters, affecting product quality and pass rate, and increasing scrap rate and production costs.

Method used

By obtaining the wire diameter data of the outer diameter detector in real time, combining real-time and historical production parameters, the fluctuation range of the cable outer diameter is determined, the outer diameter change trend is calculated, and the extruder speed is adjusted using the PID control signal, and the cable outer diameter is automatically adjusted.

Benefits of technology

Automatic stable control of cable outer diameter is realized, reducing the delay of manual intervention, and improving the stability of production efficiency and product quality.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The present application provides a method, device, equipment and medium for controlling the wire diameter of an extruder cable, and relates to the technical field of cable production equipment. The method includes: obtaining real-time wire diameter data collected by an outer diameter detector, and real-time production parameters corresponding to the real-time wire diameter data; determining the cable outer diameter fluctuation range based on the comparison results of the real-time production parameters and the historical production parameters; calculating the cable outer diameter change trend according to the real-time wire diameter data; judging whether the cable outer diameter is within the cable outer diameter fluctuation range within a preset time period according to the cable outer diameter change trend; if it is determined that the cable outer diameter is not within the cable outer diameter fluctuation range within the preset time period, a PID control signal is generated to adjust the extruder speed to control the cable outer diameter. The present application can automatically adjust the cable wire diameter according to the production situation and improve production efficiency.
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Description

Technical Field

[0001] The present application relates to the technical field of cable production equipment, and in particular to a method, device, equipment and medium for controlling the wire diameter of an extruder cable. Background Art

[0002] Cable is a general term for optical cables, electrical cables and other items, and is widely used in many fields. Its main uses include equipment control, installation connection and power transmission, and it has multiple functions. Whether in industrial production or in daily life, cables are an indispensable infrastructure. It not only ensures the stable transmission of power and information, but also plays a key role in the operation and interconnection of smart devices. Therefore, the quality and reliability of cables directly affect the operating efficiency and safety of modern society.

[0003] At present, most of the cable extrusion equipment on the market relies on manual fine-tuning of the main engine speed or the traction line speed to control the cable diameter in a traditional way. However, due to the instability of the barrel melt pressure, the amount of glue discharged, and the fluctuation of the line speed, coupled with the untimely manual adjustment, the cable diameter is often unstable. This problem not only affects the product quality, but also reduces the production qualification rate. The limitations of manual operation increase the scrap rate and production costs. Therefore, improving the level of automation control and achieving a stable production process have become challenges that the industry needs to solve urgently. Summary of the invention

[0004] The present application provides a method, device, equipment and medium for controlling the wire diameter of an extruder cable, which can automatically adjust the wire diameter of the cable according to production conditions and improve production efficiency.

[0005] In a first aspect of the present application, a method for controlling the wire diameter of an extruder cable is provided, the method comprising:

[0006] Acquire real-time wire diameter data collected by an outer diameter detector, and real-time production parameters corresponding to the real-time wire diameter data;

[0007] Determining the fluctuation range of the outer diameter of the cable based on the comparison result of the real-time production parameters and the historical production parameters;

[0008] Calculating the cable outer diameter change trend according to the real-time wire diameter data;

[0009] According to the cable outer diameter variation trend, determining whether the cable outer diameter is within the cable outer diameter fluctuation range within a preset time period;

[0010] If it is determined that the outer diameter of the cable is not within the outer diameter fluctuation range of the cable within the preset time period, a PID control signal is generated to adjust the speed of the extruder to control the outer diameter of the cable.

[0011] Optionally, calculating the cable outer diameter change trend according to the real-time wire diameter data specifically includes:

[0012] Determine the sliding window according to the cable production speed;

[0013] Calculating the wire diameter characteristic data within each of the sliding windows;

[0014] Calculating the rate of change of the outer diameter of the cable according to the plurality of wire diameter characteristic data;

[0015] Based on the cable outer diameter change rate, a time series analysis is performed on the wire diameter data within the preset time period to determine the cable outer diameter change trend.

[0016] Optionally, based on the cable outer diameter change rate, a time series analysis is performed on the wire diameter data within the preset time period to determine the cable outer diameter change trend, and the cable outer diameter change trend is specifically expressed as follows:

[0017]

[0018] Where p is the order of the autoregressive term, x(t) is the outer diameter of the cable at time t, Φ i is the autoregressive coefficient in the time series, x(ti) is the outer diameter of the cable at time ti, θ j is the moving average coefficient, ε(tj) is the error term at time tj, β 1 is the influence coefficient of the wire diameter characteristic data on the cable outer diameter, σ x (t-1) is the wire diameter characteristic data at time t-1, β 2 is the influence coefficient of the cable outer diameter change rate on the cable outer diameter, and r(t-1) is the outer diameter change rate at time t-1;

[0019] Calculate the wire diameter feature data in each sliding window, the expression of the wire diameter feature data is as follows:

[0020]

[0021] Among them, σ x (t) is the line diameter characteristic value at time t, W is the sliding window size, x i is the i-th wire diameter data, X(t) is the mean wire diameter in the sliding window corresponding to time t;

[0022] The cable outer diameter change rate is calculated based on the plurality of wire diameter characteristic data. The expression of the cable outer diameter change rate is as follows:

[0023]

[0024] Where r(t) is the rate of change of the cable outer diameter at time t, X(t) is the cable outer diameter at time t, W is the sliding window size, X(t) is the mean wire diameter in the sliding window corresponding to time t, and X(tW) is the mean wire diameter in the sliding window before time t.

[0025] Optionally, the determining the cable outer diameter fluctuation range based on the comparison result of the real-time production parameter with the historical production parameter specifically includes:

[0026] Determine a target production parameter in the historical production parameters that is the same as the real-time production parameter;

[0027] Determining a plurality of target cable outer diameters corresponding to the target production parameters;

[0028] Calculating an upper control limit and a lower control limit according to the plurality of target cable outer diameters;

[0029] The cable outer diameter fluctuation range is determined according to the upper control limit and the lower control limit.

[0030] Optionally, the upper control limit and the lower control limit are calculated according to the plurality of target cable outer diameters, specifically by the following formula:

[0031]

[0032] Wherein, UCL is the upper control limit, LCL is the lower control limit, n is the number of the target cable outer diameters, x i is the outer diameter of the i-th target cable.

[0033] Optionally, if it is determined that the outer diameter of the cable is not within the outer diameter fluctuation range of the cable within the preset time period, a PID control signal is generated, and the expression of the PID control signal is as follows:

[0034]

[0035] Wherein, u(t) is the PID control signal, K p is the proportional gain, x(t) is the outer diameter of the cable, x set is the preset target outer diameter, K i is the integral gain, K d is the differential gain, e[i] is the error accumulation, and e[k]-e[k-1] is the error change rate.

[0036] Optionally, before calculating the cable outer diameter change trend according to the real-time wire diameter data, the method further includes:

[0037] Determining whether the real-time wire diameter data is within the cable outer diameter fluctuation range;

[0038] If it is determined that the real-time wire diameter data is not within the cable outer diameter fluctuation range, an early warning prompt is given in a preset manner; if it is determined that the real-time wire diameter data is within the cable outer diameter fluctuation range, it is determined whether the cable outer diameter change trend is within the cable outer diameter fluctuation range.

[0039] In a second aspect of the present application, a device for controlling the wire diameter of an extruder cable is provided, the device comprising an acquisition module, a processing module, a judgment module and a control module, wherein:

[0040] The acquisition module is used to acquire the real-time wire diameter data collected by the outer diameter detector and the real-time production parameters corresponding to the real-time wire diameter data;

[0041] The processing module is used to determine the fluctuation range of the outer diameter of the cable based on the comparison result of the real-time production parameters and the historical production parameters;

[0042] The processing module is used to calculate the cable outer diameter change trend according to the real-time wire diameter data;

[0043] The judging module is used to judge whether the outer diameter of the cable is within the outer diameter fluctuation range of the cable within a preset time period according to the change trend of the outer diameter of the cable;

[0044] The control module is used to generate a PID control signal to adjust the extruder speed to control the cable outer diameter if it is determined that the cable outer diameter is not within the cable outer diameter fluctuation range within the preset time period.

[0045] Optionally, the processing module is used to perform time series analysis on the wire diameter data within the preset time period based on the cable outer diameter change rate to determine the cable outer diameter change trend, and the cable outer diameter change trend is specifically expressed as follows:

[0046]

[0047] Where p is the order of the autoregressive term, x(t) is the outer diameter of the cable at time t, Φ i is the autoregressive coefficient in the time series, x(ti) is the outer diameter of the cable at time ti, θ j is the moving average coefficient, ε(tj) is the error term at time tj, β 1 is the influence coefficient of the wire diameter characteristic data on the cable outer diameter, σ x (t-1) is the wire diameter characteristic data at time t-1, β 2 is the influence coefficient of the cable outer diameter change rate on the cable outer diameter, and r(t-1) is the outer diameter change rate at time t-1;

[0048] The processing module is used to calculate the wire diameter characteristic data in each sliding window. The expression of the wire diameter characteristic data is as follows:

[0049]

[0050] Among them, σ x (t) is the line diameter characteristic value at time t, W is the sliding window size, x i is the i-th wire diameter data, X(t) is the mean wire diameter in the sliding window corresponding to time t;

[0051] The processing module is used to calculate the cable outer diameter change rate according to the plurality of wire diameter characteristic data. The expression of the cable outer diameter change rate is as follows:

[0052]

[0053] Where r(t) is the rate of change of the cable outer diameter at time t, X(t) is the cable outer diameter at time t, W is the sliding window size, X(t) is the mean wire diameter in the sliding window corresponding to time t, and X(tW) is the mean wire diameter in the sliding window before time t.

[0054] Optionally, the judgment module is used to determine the target production parameter in the historical production parameters that is the same as the real-time production parameter;

[0055] The judgment module is used to determine multiple target cable outer diameters corresponding to the target production parameters;

[0056] Calculating an upper control limit and a lower control limit according to the plurality of target cable outer diameters;

[0057] The processing module is used to determine the cable outer diameter fluctuation range according to the upper control limit and the lower control limit.

[0058] Optionally, the processing module is used to calculate the upper control limit and the lower control limit according to the plurality of target cable outer diameters, specifically by the following formula:

[0059]

[0060] Wherein, UCL is the upper control limit, LCL is the lower control limit, n is the number of the target cable outer diameters, x i is the outer diameter of the i-th target cable.

[0061] Optionally, the control module is used to generate a PID control signal if it is determined that the outer diameter of the cable is not within the outer diameter fluctuation range of the cable within the preset time period. The expression of the PID control signal is as follows:

[0062]

[0063] Wherein, u(t) is the PID control signal, K p is the proportional gain, x(t) is the outer diameter of the cable, x set is the preset target outer diameter, K i is the integral gain, K d is the differential gain, e[i] is the error accumulation, and e[k]-e[k-1] is the error change rate.

[0064] Optionally, the judging module is used to judge whether the real-time wire diameter data is within the cable outer diameter fluctuation range;

[0065] The control module is used to issue an early warning prompt in a preset manner if it is determined that the real-time wire diameter data is not within the cable outer diameter fluctuation range, and to determine whether the cable outer diameter change trend is within the cable outer diameter fluctuation range if it is determined that the real-time wire diameter data is within the cable outer diameter fluctuation range.

[0066] In the third aspect of the present application, an electronic device is provided, including a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are both used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes any one of the methods described above.

[0067] In a fourth aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores instructions, and when the instructions are executed, any of the methods described above is executed.

[0068] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0069] 1. This application obtains the wire diameter data of the outer diameter detector in real time, and determines the normal fluctuation range of the outer diameter of the cable by comparing the real-time production parameters with the historical production data. Based on this, the system calculates the changing trend of the outer diameter of the cable and determines in real time whether the outer diameter of the cable deviates from the normal range. When the outer diameter deviates, a PID control signal is automatically generated to adjust the speed or traction speed of the extruder to ensure that the outer diameter of the cable remains within the qualified range. This automated adjustment mechanism not only reduces the delay of manual intervention, but also can quickly respond to fluctuations in production, improving production efficiency and the stability of product quality.

[0070] 2. By monitoring the outer diameter data of the cable in real time, combined with time series analysis and wire diameter characteristic data in the sliding window (such as standard deviation and change rate), the change trend of the outer diameter of the cable is dynamically calculated. By combining the nonlinear influence of wire diameter characteristics and change rate, the system can accurately predict the future outer diameter change trend. When the outer diameter data deviates from the normal fluctuation range, it can respond quickly and make adjustments to ensure the stability of the outer diameter of the cable.

[0071] 3. Generate control signals through the PID controller to automatically adjust the outer diameter of the cable. When the real-time detected outer diameter of the cable deviates from the preset target outer diameter, the PID controller generates a control signal based on the error (the difference between the outer diameter and the target value). The proportional part quickly responds to the current error, the integral part accumulates historical errors to eliminate long-term deviations, and the differential part compensates for the error change rate to prevent system overshoot. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] Figure 1 It is a flow chart of a method for controlling the wire diameter of an extruder cable disclosed in an embodiment of the present application;

[0073] Figure 2 It is a module schematic diagram of a cable diameter control device for an extruder disclosed in an embodiment of the present application;

[0074] Figure 3 It is a structural schematic diagram of an electronic device disclosed in an embodiment of the present application.

[0075] Explanation of the reference numerals: 201, acquisition module; 202, processing module; 203, judgment module; 204, control module; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. DETAILED DESCRIPTION

[0076] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0077] In the description of the embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "for example" or "for example" is intended to present related concepts in a specific way.

[0078] In the description of the embodiments of the present application, the meaning of the term "multiple" refers to two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0079] Cables, as a general term for optical cables and electrical cables, are widely used in equipment control, installation connection, power transmission and other fields. Their quality and reliability are crucial to the operation of modern society. However, current cable extrusion equipment mostly relies on manual adjustment, which is limited by the instability of the screw barrel melt pressure, glue output and line speed fluctuations, resulting in unstable cable diameter, affecting product quality and pass rate, and increasing scrap rate and production costs. Improving the level of automation control and stabilizing the production process have become issues that the industry urgently needs to solve.

[0080] This embodiment discloses a method for controlling the wire diameter of an extruder cable. Figure 1 , comprising the following steps S100-S150:

[0081] S110, acquiring real-time wire diameter data collected by an outer diameter detector and real-time production parameters corresponding to the real-time wire diameter data.

[0082] The embodiment of the present application discloses a method for controlling the wire diameter of an extruder cable, which is applied to a control system. The control system is connected to an outer diameter detector, which is a device used to monitor the diameter of a cable in real time. It is usually based on optical or laser technology and continuously collects the outer diameter data of the cable in a non-contact manner. During the implementation process, the outer diameter detector needs to be installed at a key position on the extrusion production line (usually located after the extrusion die head, where the cable forms a stable outer diameter shape).

[0083] The outer diameter detector will continuously measure and output real-time cable outer diameter data, which will be converted into transmittable electrical or digital signals through sensor signals. The signals will be transmitted to the main control system via wired or wireless means.

[0084] Real-time production parameters include extruder speed, traction speed, screw barrel pressure, screw barrel temperature, glue output, etc. These parameters are usually obtained through sensors and control modules on the equipment.

[0085] S120, determining a fluctuation range of the outer diameter of the cable based on a comparison result of the real-time production parameters and the historical production parameters.

[0086] In one possible implementation, based on the comparison results of the real-time production parameters with the historical production parameters, the cable outer diameter fluctuation range is determined, specifically including: determining the target production parameters in the historical production parameters that are the same as the real-time production parameters; determining multiple target cable outer diameters corresponding to the target production parameters; calculating the upper control limit and the lower control limit based on the multiple target cable outer diameters; and determining the cable outer diameter fluctuation range based on the upper control limit and the lower control limit.

[0087] Specifically, the system retrieves historical production parameters that match the current production parameters from the historical database based on the current real-time production parameters. The goal is to find scenes in past production that are similar to the current working conditions as a reference benchmark. The system screens out historical production parameters that match the current working conditions, including multiple target cable outer diameter data under similar production conditions in the past. By matching historical production parameters, the representativeness and accuracy of the selected data can be ensured. In a certain production batch, when the extruder speed, traction line speed, temperature, etc. are similar to the current production conditions, the system will select the outer diameter data corresponding to the batch as the target cable outer diameter.

[0088] For each historical record that matches the current production conditions, the system will extract the corresponding cable outer diameter data to form a set of target outer diameter data sets x 1 ,x 2 ,...,x n These outer diameter data reflect the variation range and fluctuation of the outer diameter of cables under similar production conditions.

[0089] The average value X of the cable outer diameter data set is calculated based on the collected data. The specific calculation is done by the following formula:

[0090]

[0091] The fluctuation of the cable outer diameter is evaluated by calculating the standard deviation, which is calculated by the following formula:

[0092]

[0093] The standard deviation σ is an important indicator for measuring the fluctuation of the cable outer diameter. It reflects the degree of dispersion of the cable outer diameter value relative to the average value. If the standard deviation is small, it means that the production process is relatively stable; if the standard deviation is large, it means that the cable outer diameter fluctuates greatly and needs to be adjusted.

[0094] The control limit is defined based on the mean and standard deviation. Usually, a certain multiple of the standard deviation is added or subtracted from the mean to set the control range. The common multiple k is usually 3 (that is, controlled within 3 times the standard deviation). The upper control limit (UCL) indicates the maximum allowable cable outer diameter. If a real-time outer diameter exceeds this value, the system will be judged as abnormal and an alarm will need to be issued or production parameters will need to be adjusted. The lower control limit (LCL) indicates the minimum allowable cable outer diameter. If a real-time outer diameter is lower than this value, an alarm or adjustment will also be triggered. The upper control limit and lower control limit are calculated using the following formula:

[0095]

[0096] Among them, UCL is the upper control limit, LCL is the lower control limit, n is the number of multiple target cable outer diameters, x i is the outer diameter of the i-th target cable.

[0097] Through the upper and lower control limits, the system defines the fluctuation range of the cable outer diameter in the current production process. During the production process, the system will continuously monitor the real-time cable outer diameter and compare it with the set fluctuation range in real time. If the outer diameter deviates from this range, the system can automatically adjust the production parameters (such as adjusting the parameters of the extruder or tractor through PID control) to stabilize the outer diameter within the predetermined range.

[0098] S130, calculating a cable outer diameter change trend according to the real-time wire diameter data.

[0099] In one possible implementation, the cable outer diameter change trend is calculated based on the real-time wire diameter data, specifically including: determining a sliding window based on the cable production speed; calculating the wire diameter characteristic data within each sliding window; calculating the cable outer diameter change rate based on multiple wire diameter characteristic data; based on the cable outer diameter change rate, performing a time series analysis on the wire diameter data within a preset time period to determine the cable outer diameter change trend.

[0100] Specifically, the core of trend analysis is to identify the direction of change of the outer diameter of the cable over time by calculating the collected real-time wire diameter data. Sliding window analysis refers to dividing the real-time data into a certain time window, calculating the characteristic indicators such as the mean and variance of the outer diameter in each window, and using these indicators to determine the change trend of the outer diameter. Usually, the length of the sliding window is set according to the speed and requirements of the production line, for example, every 10 seconds or 30 seconds is a window. Whenever a new section of real-time wire diameter data enters, the sliding window will slide forward and discard the earliest data. This ensures that the wire diameter characteristic data calculated each time is based on the latest production status.

[0101] The core of trend analysis is to identify the direction of change of cable outer diameter over time by calculating the collected real-time wire diameter data. First, in each sliding window, the standard deviation of the wire diameter characteristic data is calculated, which is calculated by the following formula:

[0102]

[0103] Among them, σ x (t) is the line diameter characteristic value at time t, W is the sliding window size, x i is the i-th wire diameter data, and X(t) is the mean wire diameter in the sliding window corresponding to time t.

[0104] Calculate the cable outer diameter change rate r(t) based on the current sliding window mean and the previous sliding window mean:

[0105]

[0106] Where r(t) is the rate of change of the cable outer diameter at time t, X(t) is the cable outer diameter at time t, W is the sliding window size, X(t) is the mean wire diameter in the sliding window corresponding to time t, and X(tW) is the mean wire diameter in the sliding window before time t.

[0107] Finally, based on the cable outer diameter change rate, the wire diameter data within the preset time period is analyzed in time series to determine the cable outer diameter change trend. The specific expression of the cable outer diameter change trend is as follows:

[0108]

[0109] Where p is the order of the autoregressive term, x(t) is the outer diameter of the cable at time t, Φ i It is the autoregression coefficient in the time series, which is used to describe how the previous cable outer diameter affects the current outer diameter. This is an autoregression model (AR) part, which means that the current cable outer diameter is dependent on the outer diameters at previous moments. Through historical outer diameter data, the model can predict future outer diameter changes.

[0110] x(ti) is the outer diameter of the cable at time ti, θ j is the moving average coefficient, which represents the weight of the error term on the current cable outer diameter. ε(tj) is the error term at time tj, that is, the difference between the actual value and the predicted value at the past time. The moving average model (MA) is used to correct the possible errors of the autoregressive part and use the past error terms to further optimize the current predicted value.

[0111] β 1 is the influence coefficient of wire diameter characteristic data on cable outer diameter, σ x(t-1) is the wire diameter characteristic data at time t-1, which reflects the fluctuation range of the cable outer diameter in the past period of time. If the fluctuation is large, it means that the current outer diameter may also be unstable. This item is used to evaluate the impact of outer diameter fluctuations on the future. 2 is the influence coefficient of the cable outer diameter change rate on the cable outer diameter, r(t-1) is the outer diameter change rate at time t-1, which is used to evaluate the trend of outer diameter change. If the change rate is high, it means that the outer diameter is changing at an accelerated rate. Based on this, the model predicts that the outer diameter may change in a certain direction in the future.

[0112] The formula combines historical outer diameter data, error terms, fluctuation characteristics and outer diameter change rate, and aims to capture the trend of cable outer diameter changes through a time series model (ARMA) plus statistical characteristics (standard deviation and rate).

[0113] S140: judging whether the outer diameter of the cable is within a fluctuation range of the outer diameter of the cable within a preset time period according to the variation trend of the outer diameter of the cable.

[0114] In a possible implementation, before calculating the cable outer diameter change trend based on the real-time wire diameter data, the method also includes: determining whether the real-time wire diameter data is within the cable outer diameter fluctuation range; if it is determined that the real-time wire diameter data is not within the cable outer diameter fluctuation range, issuing an early warning prompt in a preset manner; if it is determined that the real-time wire diameter data is within the cable outer diameter fluctuation range, determining whether the cable outer diameter change trend is within the cable outer diameter fluctuation range.

[0115] Specifically, each time new real-time cable outer diameter data x(t) is collected, the system compares it with the calculated UCL and LCL. If x(t) exceeds the upper limit UCL or the lower limit LCL, it means that the outer diameter data has exceeded the normal fluctuation range. If the real-time outer diameter data x(t) is not within the fluctuation range (that is, exceeds UCL or LCL), the system will trigger an early warning. The early warning method can be through sound and light alarms, system prompts, or automatic recording of abnormal events. Operators can also receive real-time early warning information and intervene quickly, or the system can automatically adjust production parameters (such as adjusting the extruder speed).

[0116] By comparing the current outer diameter with the upper control limit UCL and the lower control limit LCL, determine whether the cable outer diameter is within a reasonable range. If LCL≤x(t)≤UCL, the cable outer diameter is within the fluctuation range and meets the qualified standard; if x(t) exceeds this range, the outer diameter is unqualified and requires further evaluation and adjustment.

[0117] S150: If it is determined that the outer diameter of the cable is not within the cable outer diameter fluctuation range within the preset time period, a PID control signal is generated.

[0118] When it is determined that the outer diameter of the cable is not within the preset fluctuation range, the PID (proportional-integral-differential) controller can generate a control signal to adjust the speed of the extruder, thereby controlling the outer diameter of the cable back within the qualified range. PID control is a classic feedback control algorithm that generates a control signal by calculating the error (the difference between the actual outer diameter and the target outer diameter) based on the adjustment of the proportional, integral and differential parts.

[0119] The output u(t) of the PID controller is composed of three parts: proportional control (P), integral control (I) and differential control (D). In practical applications, due to the discrete time characteristics of the system, PID control needs to be discretized. Assuming the sampling period is Δt, its expression is:

[0120]

[0121] Among them, u(t) is the PID control signal, that is, the control signal for adjusting the extruder speed, K p is the proportional gain, which indicates the influence of the current error on the control signal, x(t) is the outer diameter of the cable, x set is the preset target outer diameter, K i is the integral gain, which indicates the influence of the past accumulated error on the control signal, K d is the differential gain, which represents the influence of the error change rate on the control signal, e[i] is the error accumulation, and e[k]-e[k-1] is the error change rate.

[0122] The PID control signal expression consists of three parts: proportional control term, integral control term and differential control term. The proportional control term is as follows:

[0123]

[0124] Proportional control directly generates a control signal through the current outer diameter error. That is, when the cable outer diameter x(t) is equal to the target outer diameter x set When there is a difference between the two, the system will adjust according to the size of the error. The larger the error e(t), the stronger the control signal u(t), and the system will quickly adjust the extruder speed or traction speed to reduce the outer diameter error.

[0125] The integral control term is as follows:

[0126]

[0127] Integral control adjusts the system over a long period of time by accumulating errors, solving the problem of accumulated deviations that may be caused by proportional control. By accumulating the errors e[i] over a period of time, integral control can adjust the system deviation, especially when the outer diameter error is small but persists in the long-term operation of the system. The integral term will gradually increase the control signal, allowing the system to continuously fine-tune and reduce the deviation.

[0128] The derivative control term is as follows:

[0129]

[0130] Differential control predicts the error trend and makes adjustments in advance to avoid excessive outer diameter deviation. Differential control reflects the rate of change of the error, that is, whether the error increases or decreases within a period of time. If the error changes too quickly, differential control will quickly adjust the system to prevent further deviation. It plays an important role in suppressing system oscillation and improving dynamic response.

[0131] During the extruder control process, the system will adjust the extruder speed or pulling speed by calculating the PID control signal u(t) based on the deviation between the real-time cable outer diameter and the target value to ensure that the cable outer diameter remains within the qualified range. This real-time adjustment can reduce the delay caused by manual intervention and improve the automation and stability of the production process.

[0132] This embodiment also discloses a wire diameter control device for an extruder cable, referring to Figure 2 The device includes an acquisition module 201, a processing module 202, a judgment module 203 and a control module 204, wherein:

[0133] The acquisition module 201 is used to acquire the real-time wire diameter data collected by the outer diameter detector and the real-time production parameters corresponding to the real-time wire diameter data.

[0134] The processing module 202 is used to determine the fluctuation range of the cable outer diameter based on the comparison result of the real-time production parameters and the historical production parameters.

[0135] The processing module 202 is used to calculate the cable outer diameter change trend according to the real-time wire diameter data.

[0136] The judgment module 203 is used to judge whether the outer diameter of the cable is within the fluctuation range of the outer diameter of the cable within a preset time period according to the variation trend of the outer diameter of the cable.

[0137] The control module 204 is used to generate a PID control signal to adjust the extruder speed to control the cable outer diameter if it is determined that the cable outer diameter is not within the cable outer diameter fluctuation range within a preset time period.

[0138] In a possible implementation, the processing module 202 is used to perform time series analysis on the wire diameter data within a preset time period based on the cable outer diameter change rate to determine the cable outer diameter change trend. The cable outer diameter change trend is specifically expressed as follows:

[0139]

[0140] Where p is the order of the autoregressive term, x(t) is the outer diameter of the cable at time t, Φ i is the autoregressive coefficient in the time series, x(ti) is the outer diameter of the cable at time ti, θ j is the moving average coefficient, ε(tj) is the error term at time tj, β 1 is the influence coefficient of wire diameter characteristic data on cable outer diameter, σ x (t-1) is the wire diameter characteristic data at time t-1, β 2 is the influence coefficient of the cable outer diameter change rate on the cable outer diameter, and r(t-1) is the outer diameter change rate at time t-1.

[0141] The processing module 202 is used to calculate the wire diameter characteristic data in each sliding window. The expression of the wire diameter characteristic data is as follows:

[0142]

[0143] Among them, σ x (t) is the line diameter characteristic value at time t, W is the sliding window size, x i is the i-th wire diameter data, and X(t) is the mean wire diameter in the sliding window corresponding to time t.

[0144] The processing module 202 is used to calculate the cable outer diameter change rate according to the plurality of wire diameter characteristic data. The expression of the cable outer diameter change rate is as follows:

[0145]

[0146] Where r(t) is the rate of change of the cable outer diameter at time t, X(t) is the cable outer diameter at time t, W is the sliding window size, X(t) is the mean wire diameter in the sliding window corresponding to time t, and X(tW) is the mean wire diameter in the sliding window before time t.

[0147] In a possible implementation, the judgment module 203 is used to determine the target production parameter in the historical production parameters that is the same as the real-time production parameter.

[0148] The judgment module 203 is used to determine multiple target cable outer diameters corresponding to the target production parameters.

[0149] Calculate upper and lower control limits based on multiple target cable outer diameters.

[0150] The processing module 202 is used to determine the cable outer diameter fluctuation range according to the upper control limit and the lower control limit.

[0151] In a possible implementation, the processing module 202 is used to calculate the upper control limit and the lower control limit according to multiple target cable outer diameters, specifically by the following formula:

[0152]

[0153] Among them, UCL is the upper control limit, LCL is the lower control limit, n is the number of multiple target cable outer diameters, x i is the outer diameter of the i-th target cable.

[0154] In a possible implementation, the control module 204 is used to generate a PID control signal if it is determined that the outer diameter of the cable is not within the cable outer diameter fluctuation range within a preset time period. The PID control signal expression is as follows:

[0155]

[0156] Among them, u(t) is the PID control signal, K p is the proportional gain, x(t) is the outer diameter of the cable, x set is the preset target outer diameter, K i is the integral gain, K d is the differential gain, e[i] is the error accumulation, and e[k]-e[k-1] is the error change rate.

[0157] In a possible implementation, the determination module 203 is used to determine whether the real-time wire diameter data is within the cable outer diameter fluctuation range.

[0158] The control module 204 is used to issue an early warning prompt in a preset manner if it is determined that the real-time wire diameter data is not within the cable outer diameter fluctuation range, and to determine whether the cable outer diameter change trend is within the cable outer diameter fluctuation range if it is determined that the real-time wire diameter data is within the cable outer diameter fluctuation range.

[0159] It should be noted that: when the device provided in the above embodiment realizes its function, only the division of the above functional modules is used as an example. In actual application, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0160] This embodiment also discloses an electronic device, referring to Figure 3The electronic device may include: at least one processor 301 , at least one communication bus 302 , a user interface 303 , a network interface 304 , and at least one memory 305 .

[0161] The communication bus 302 is used to realize the connection and communication between these components.

[0162] The user interface 303 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 303 may also include a standard wired interface and a wireless interface.

[0163] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0164] Among them, the processor 301 may include one or more processing cores. The processor 301 uses various interfaces and lines to connect various parts in the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 305, and calling data stored in the memory 305. Optionally, the processor 301 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 301 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 301, and it can be implemented separately through a chip.

[0165] Among them, the memory 305 may include a random access memory (RAM) or a read-only memory (Read-Only Memory). Optionally, the memory includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 305 may also be at least one storage device located away from the aforementioned processor 301. The memory 305 as a computer storage medium may include an operating system, a network communication module, a user interface 303 module, and an application program for an extruder cable diameter control method.

[0166] exist Figure 3 In the electronic device shown, the user interface 303 is mainly used to provide an input interface for the user and obtain data input by the user; and the processor 301 can be used to call an application program storing a method for controlling the wire diameter of an extruder cable in the memory 305. When executed by one or more processors 301, the electronic device executes one or more methods in the above-mentioned embodiments.

[0167] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the order of the actions described, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.

[0168] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0169] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0170] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0171] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0172] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory 305 and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned memory 305 includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a magnetic disk or an optical disk.

[0173] The present application also discloses a computer-readable storage medium, wherein the computer-readable storage medium stores instructions. When executed by one or more processors 301, the electronic device executes one or more of the methods described in the above embodiments.

[0174] The above is only an exemplary embodiment of the present disclosure, and the scope of the present disclosure cannot be limited thereto. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and the truth of practice, it will be easy for those skilled in the art to think of other embodiments of the present disclosure. This application is intended to cover any modification, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the technical field that are not recorded in the present disclosure. The description and examples are regarded as exemplary only, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A method for controlling the wire diameter of an extruder cable, characterized in that: The method comprises: Acquire real-time wire diameter data collected by an outer diameter detector, and real-time production parameters corresponding to the real-time wire diameter data; Determining the fluctuation range of the outer diameter of the cable based on the comparison result of the real-time production parameters and the historical production parameters; Calculating the cable outer diameter change trend according to the real-time wire diameter data; According to the cable outer diameter variation trend, determining whether the cable outer diameter is within the cable outer diameter fluctuation range within a preset time period; If it is determined that the outer diameter of the cable is not within the outer diameter fluctuation range of the cable within the preset time period, a PID control signal is generated to adjust the speed of the extruder to control the outer diameter of the cable; The calculating the cable outer diameter change trend according to the real-time wire diameter data specifically includes: Determine the sliding window according to the cable production speed; Calculating the wire diameter characteristic data within each of the sliding windows; Calculating the rate of change of the outer diameter of the cable according to the plurality of wire diameter characteristic data; Based on the cable outer diameter change rate, performing time series analysis on the wire diameter data within the preset time period to determine the cable outer diameter change trend; The specific expression of the cable outer diameter change trend is as follows: ; Where p is the order of the autoregressive term, x(t) is the outer diameter of the cable at time t, Φ i is the autoregressive coefficient in the time series, x(ti) is the outer diameter of the cable at time ti, θ j is the moving average coefficient, ε(tj) is the error term at time tj, β1 is the influence coefficient of the wire diameter characteristic data on the outer diameter of the cable, σ x (t-1) is the wire diameter characteristic data at time t-1, β2 is the influence coefficient of the cable outer diameter change rate on the cable outer diameter, and r(t-1) is the outer diameter change rate at time t-1; The expression of the wire diameter characteristic data is as follows: ; Among them, σ x (t) is the line diameter characteristic value at time t, W is the sliding window size, x i is the i-th wire diameter data, X(t) is the mean wire diameter in the sliding window corresponding to time t; The expression of the cable outer diameter change rate is as follows: ; Where r(t) is the rate of change of the cable outer diameter at time t, X(t) is the cable outer diameter at time t, W is the sliding window size, X(t) is the mean wire diameter in the sliding window corresponding to time t, and X(tW) is the mean wire diameter in the sliding window before time t.

2. The method for controlling the wire diameter of an extruder cable according to claim 1, characterized in that: The determining of the cable outer diameter fluctuation range based on the comparison result of the real-time production parameters with the historical production parameters specifically includes: Determine a target production parameter in the historical production parameters that is the same as the real-time production parameter; Determining a plurality of target cable outer diameters corresponding to the target production parameters; Calculating an upper control limit and a lower control limit according to the plurality of target cable outer diameters; The cable outer diameter fluctuation range is determined according to the upper control limit and the lower control limit.

3. A method for controlling the wire diameter of an extruder cable according to claim 2, characterized in that: The upper control limit and the lower control limit are calculated according to the plurality of target cable outer diameters, specifically by the following formula: ; Wherein, UCL is the upper control limit, LCL is the lower control limit, n is the number of the target cable outer diameters, x i is the outer diameter of the i-th target cable.

4. The method for controlling the wire diameter of an extruder cable according to claim 1, characterized in that: If it is determined that the cable outer diameter is not within the cable outer diameter fluctuation range within the preset time period, a PID control signal is generated, and the expression of the PID control signal is as follows: ; Wherein, u(t) is the PID control signal, K p is the proportional gain, x(t) is the outer diameter of the cable, x set is the preset target outer diameter, K i is the integral gain, K d is the differential gain, e[i] is the error accumulation, and e[k]-e[k-1] is the error change rate.

5. The method for controlling the wire diameter of an extruder cable according to claim 1, characterized in that: Before calculating the cable outer diameter change trend according to the real-time wire diameter data, the method further includes: Determining whether the real-time wire diameter data is within the cable outer diameter fluctuation range; If it is determined that the real-time wire diameter data is not within the cable outer diameter fluctuation range, an early warning prompt is given in a preset manner; if it is determined that the real-time wire diameter data is within the cable outer diameter fluctuation range, it is determined whether the cable outer diameter change trend is within the cable outer diameter fluctuation range.

6. A cable diameter control device for an extruder, characterized in that: The device comprises an acquisition module (201), a processing module (202), a judgment module (203) and a control module (204), wherein: The acquisition module (201) is used to acquire real-time wire diameter data collected by an outer diameter detector, and real-time production parameters corresponding to the real-time wire diameter data; The processing module (202) is used to determine the fluctuation range of the outer diameter of the cable based on the comparison result of the real-time production parameter and the historical production parameter; The processing module (202) is used to calculate the cable outer diameter change trend according to the real-time wire diameter data; The judgment module (203) is used to judge whether the outer diameter of the cable is within the outer diameter fluctuation range of the cable within a preset time period according to the change trend of the outer diameter of the cable; The control module (204) is used to generate a PID control signal to adjust the extruder speed to control the cable outer diameter if it is determined that the cable outer diameter is not within the cable outer diameter fluctuation range within the preset time period; The judgment module (203) is used to determine the sliding window according to the cable production speed; The processing module (202) is used to calculate the wire diameter characteristic data in each sliding window; The processing module (202) is used to calculate the cable outer diameter change rate according to the plurality of wire diameter characteristic data; The processing module (202) is used to perform time series analysis on the wire diameter data within the preset time period based on the cable outer diameter change rate, and determine the cable outer diameter change trend; The specific expression of the cable outer diameter change trend is as follows: ; Where p is the order of the autoregressive term, x(t) is the outer diameter of the cable at time t, Φ i is the autoregressive coefficient in the time series, x(ti) is the outer diameter of the cable at time ti, θ j is the moving average coefficient, ε(tj) is the error term at time tj, β1 is the influence coefficient of the wire diameter characteristic data on the outer diameter of the cable, σ x (t-1) is the wire diameter characteristic data at time t-1, β2 is the influence coefficient of the cable outer diameter change rate on the cable outer diameter, and r(t-1) is the outer diameter change rate at time t-1; The expression of the wire diameter characteristic data is as follows: ; Among them, σ x (t) is the line diameter characteristic value at time t, W is the sliding window size, x i is the i-th wire diameter data, X(t) is the mean wire diameter in the sliding window corresponding to time t; The expression of the cable outer diameter change rate is as follows: ; Where r(t) is the rate of change of the cable outer diameter at time t, X(t) is the cable outer diameter at time t, W is the sliding window size, X(t) is the mean wire diameter in the sliding window corresponding to time t, and X(tW) is the mean wire diameter in the sliding window before time t.

7. An electronic device, characterized in that: The electronic device comprises a processor (301), a communication bus (302), a user interface (303), a network interface (304) and a memory (305), wherein the memory (305) is used to store instructions, the user interface (303) and the network interface (304) are both used to communicate with other devices, and the processor (301) is used to execute the instructions stored in the memory (305) so that the electronic device executes the method according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed, the method according to any one of claims 1 to 5 is performed.

Citation Information

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