Method and device for automatically arranging copper-clad aluminum alloy wires

Abstract

The invention is suitable for the technical field of wire winding, and particularly relates to an automatic winding displacement method and device for copper-clad aluminum alloy wires, and the method comprises the steps that a trigger signal is detected, a sound production device makes a sound from a first port of a take-up mechanism, and a sound receiving device obtains a sound signal at a second port of the take-up mechanism; wherein the trigger signal is used for reflecting that the automatic winding displacement device for the copper-clad aluminum alloy wires starts winding displacement; acquiring pressure information in real time; wherein the pressure information is used for reflecting weight data of the take-up mechanism; analyzing according to the pressure information to obtain change information; wherein the change information is used for reflecting the increment change condition of the pressure information; and based on the change type of the change information, analyzing the sound signal to obtain a detection result. According to the automatic winding displacement method and device for the copper-clad aluminum alloy wires, the problem that the accuracy of the take-up uniformity detection result of the winding reel is reduced can be solved.

Description

Technical Field

[0001] This application belongs to the technical field of wire winding, and particularly relates to an automatic wire arranging method and device for copper-clad aluminum alloy wire. Background Art The automatic wire arranging method for copper-clad aluminum alloy wire refers to using automated equipment to accurately arrange and wind the copper-clad aluminum alloy wire onto a winding drum, replacing the cumbersome steps of traditional manual wire arranging, and improving efficiency and accuracy.

[0002] In related technologies, during the winding process, due to tension fluctuations during the production of wire, uneven wire materials, or tension fluctuations during the wire arranging process, and the contact pressure fluctuations between the wire guiding wheel and the wire caused by wear of the wire guiding wheel, the wire diameter of the wire to be wound onto the winding drum may change (such as the wire becoming thinner or thicker locally), which in turn affects the uniformity of the wire arrangement on the winding wheel and the structural stability of the winding drum. Detecting the completed winding drum is a necessary step to ensure product quality and production stability. During the detection of the completed winding drum, machine vision is generally used to detect the completed winding drum, that is, the surface of the winding drum is visually detected by an industrial camera. However, during this process, due to changes in environmental conditions (for example, the ambient light becomes darker or brighter, and airborne particulate matter accumulates on the camera lens), the clarity of the image collected by the industrial camera may be reduced, ultimately resulting in a decrease in the accuracy of the detection result of the wire winding uniformity of the winding drum. Summary of the Invention

[0003] The embodiments of this application provide an automatic wire arranging method and device for copper-clad aluminum alloy wire, which can improve the problem of reduced accuracy of the detection result of the wire winding uniformity of the winding drum.

[0004] In a first aspect, the embodiments of this application provide an automatic wire arranging method for copper-clad aluminum alloy wire, which is characterized in that it is applied to an automatic wire arranging device for copper-clad aluminum alloy wire. The automatic wire arranging device for copper-clad aluminum alloy wire includes a wire winding mechanism, a wire feeding mechanism, and a control device. The wire winding mechanism includes a winding drum, a sound generating device, and a sound receiving device. A channel is opened inside the winding drum. The sound generating device and the sound receiving device are respectively located at a first port and a second port at opposite ends of the channel. The sound generating device, the sound receiving device, and the wire feeding mechanism are all electrically connected to the control device. The automatic wire arranging method for copper-clad aluminum alloy wire includes: Trigger a detection signal, the sound generating device emits sound from the first port of the wire winding mechanism, and the sound receiving device obtains a sound signal at the second port of the wire winding mechanism; wherein, the detection signal is used to reflect the start of wire arranging by the automatic wire arranging device for copper-clad aluminum alloy wire; Obtain pressure information in real time; wherein, the pressure information is used to reflect the weight data of the wire winding mechanism; Analyze based on the pressure information to obtain change information; wherein, the change information is used to reflect the incremental change situation of the pressure information. Analyze the sound signal based on the change type of the change information to obtain a detection result; wherein, the detection result is used to reflect the winding uniformity of the wire by the wire winding mechanism.

[0005] The above technical solutions in the embodiments of the present application have at least the following technical effects: The automatic wire arranging method of copper-clad aluminum alloy wire provided by the embodiments of the present application first emits a sound from the first port of the wire winding mechanism along the wire winding direction when a trigger signal for reflecting the start of wire arranging of the automatic wire arranging device of the copper-clad aluminum alloy wire is detected, and at the same time, the sound receiving device obtains a sound signal at the second port of the wire winding mechanism. Then, the pressure information reflecting the weight data of the wire winding mechanism is obtained in real time, and then analyzed based on the pressure information to obtain change information for reflecting the incremental change situation of the pressure information. Finally, based on the change type of the change information, the sound signal is analyzed to obtain a detection result for reflecting the winding uniformity of the wire by the wire winding mechanism. This method detects the weight of the copper-clad aluminum alloy wire arranged on the winding drum in real time through weight, and then detects the sound change of the sound passing through the winding drum during the winding process from the sound aspect. Through the sound change, the sound difference of the winding drum during the winding process can be obtained, so as to realize real-time monitoring of the winding drum, so as to achieve the purpose of detecting the winding uniformity of the winding drum during the winding process, thereby reducing the influence degree of environmental conditions on the detection process and improving the accuracy of the winding uniformity detection result of the winding drum.

[0006] In a possible implementation manner of the first aspect, the analyzing based on the pressure information to obtain change information includes: Analyze based on multiple pieces of the pressure information to obtain a change graph; wherein, the change graph is used to reflect the dynamic change graph of the incremental change of the pressure information over time. Analyze based on the change graph to obtain change information.

[0007] In a possible implementation manner of the first aspect, the analyzing based on multiple pieces of the pressure information to obtain a change graph includes: Perform a secondary adjacent position comparison on the pressure information corresponding to different time points according to the time sequence to obtain a plurality of secondary comparison values; wherein, the secondary comparison values are used to reflect the data obtained after the secondary adjacent position comparison of the pressure information corresponding to adjacent time points. Generate a change graph from the plurality of secondary comparison values according to the time sequence.

[0008] In a possible implementation of the first aspect, analyzing according to the change diagram to obtain change information includes: Performing zero-point comparison according to the change diagram, confirming the data that is less than 0 and the smallest in the change diagram as the first data point, and obtaining the first time point corresponding to the first data point; Confirming the first data point and the first time point as the first change information of the change information; wherein, the first change information is used to reflect the maximum value of the first incremental change of the copper-clad aluminum alloy wire; Confirming the data that is greater than 0 and the largest in the change diagram as the second data point, and obtaining the second time point corresponding to the second data point; Confirming the second data point and the second time point as the second change information of the change information; wherein, the second change information is used to reflect the maximum value of the second incremental change of the copper-clad aluminum alloy wire.

[0009] In a possible implementation of the first aspect, analyzing the sound signal based on the change type of the change information to obtain a detection result includes: Obtaining a cycle time; wherein, the cycle time is used to reflect the time for the take-up mechanism to wind one turn of the copper-clad aluminum alloy wire; Processing the sound signal according to the cycle time to obtain a first feature chain and a second feature chain; wherein, the first feature chain is used to indicate the data chain composed of the corresponding sound signals within the cycle time period, the second feature chain is used to indicate the data chain composed of the sound signals corresponding to the cycle time point, the cycle time period refers to the time span of a complete cycle time, and the cycle time point refers to the end time point of a complete cycle time; Based on the change type of the change information, analyzing according to the change information, the cycle time, the first feature chain, and the second feature chain to obtain a detection result.

[0010] In a possible implementation of the first aspect, processing the sound signal according to the cycle time to obtain a first feature chain and a second feature chain includes: Performing data segment segmentation on the sound signal based on the cycle time to obtain a plurality of sound data segments and generating a first feature chain according to the plurality of sound data segments; wherein, the sound data segment is used to reflect the sound data in the sound signal within the cycle time period; Performing data point acquisition on the sound signal based on the cycle time to obtain a plurality of sound data points and generating a second feature chain according to the plurality of sound data points; wherein, the sound data point is used to reflect the sound data in the sound signal corresponding to the cycle time point.

[0011] In a possible implementation of the first aspect, based on the change type of the change information, analyzing according to the change information, the cycle time, and the first feature chain to obtain a detection result, including: When the change information is the first change information, analyzing according to the first time of the first change information and the cycle time to obtain the first membership cycle of the first change information; wherein, the first membership cycle is used to reflect the number of cycles of the cycle time corresponding to the first time, and the number of cycles is used to reflect the number of times the cycle time cycles; Matching the first membership cycle with the first feature chain to obtain a first matching data segment; wherein, the first matching data segment is used to reflect the sound data segment in the first feature chain corresponding to the first membership cycle; Analyzing according to the first matching data segment and the first data point of the first change information to obtain the first influence degree of the first data point; wherein, the first influence degree is used to reflect the winding uniformity of the winding wire at the first time point for the first type of change information; Confirm the first influence degree of the first data point as the detection result.

[0012] In a possible implementation of the first aspect, the analyzing according to the first matching data segment and the first data point of the first change information to obtain the first influence degree of the first data point includes: Processing the first matching data segment and the first data point to obtain a processed data segment; wherein, the processed data segment is used to reflect the data segment after removing the first data point from the first matching data segment; Analyzing according to the processed data segment to obtain a first variance; wherein, the first variance is used to reflect the variance value of the sound data of the processed data segment; Analyzing according to the first matching data segment to obtain a second variance; wherein, the second variance is used to reflect the variance value of the sound data of the first matching data segment; Processing the first variance and the second variance to obtain a comparison value; wherein, the comparison value is used to reflect the ratio between the first variance and the second variance; Processing the comparison value and a preset comparison value to obtain the first influence degree.

[0013] In a possible implementation of the first aspect, based on the change type of the change information, analyzing according to the change information, the cycle time, the first feature chain, and the second feature chain to obtain a detection result, further includes: When the change information is the second change information, analyze the second time of the second change information and the cycle time to obtain the second membership cycle of the second change information; wherein, the second membership cycle is used to reflect the number of cycles of the cycle time corresponding to the second time; Based on the start and end time points of the second membership cycle, obtain a first matching data point and a second matching data point corresponding to the start and end time points from the second feature chain; wherein, the first matching data point is used to reflect the sound data in the second feature chain corresponding to the initial time point of the second membership cycle, and the second matching data point is used to reflect the time data in the second feature chain corresponding to the end time point of the second membership cycle; Compare the first matching data point with the second matching data point to obtain a change degree; wherein, the change degree is used to reflect the difference between the first matching data point and the second matching data point; Analyze based on the change degree, analyze the second membership cycle and the first feature chain to obtain a detection result.

[0014] In a possible implementation manner of the first aspect, the analyzing based on the change degree, analyzing the second membership cycle and the first feature chain to obtain a detection result includes: When the change degree is greater than or equal to a preset threshold, the detection result is that there is a lamination phenomenon in the copper-clad aluminum alloy wire at the second time; When the change degree is less than the preset threshold, match the second membership cycle with the first feature chain to obtain a second matching data segment; wherein, the second matching data segment is used to reflect the sound data segment in the first feature chain corresponding to the second membership cycle; Analyze the second matching data segment and the second data point of the second change information to obtain a second influence degree of the second data point; wherein, the second influence degree is used to reflect the winding uniformity of the wire winding of the second type of change information at the second time point; Confirm the second influence degree of the second data point as the detection result.

[0015] Second aspect, an embodiment of the present application provides an automatic wire arranging device for copper-clad aluminum alloy wire, which is characterized in that it is applied to an automatic wire arranging device for copper-clad aluminum alloy wire. The automatic wire arranging device for copper-clad aluminum alloy wire includes a wire collecting mechanism, a wire feeding mechanism and a control device. The wire collecting mechanism includes a wire winding cylinder, a sound generating device and a sound receiving device. A channel is opened inside the wire winding cylinder. The sound generating device and the sound receiving device are respectively located at a first port and a second port at opposite ends of the channel. The sound generating device, the sound receiving device and the wire feeding mechanism are all electrically connected to the control device. The automatic wire arranging device for copper-clad aluminum alloy wire includes: A first acquisition module, configured to detect a trigger signal, the sound generating device emits a sound from the first port of the wire collecting mechanism, and the sound receiving device acquires a sound signal at the second port of the wire collecting mechanism; wherein, the trigger signal is used to reflect that the automatic wire arranging device for copper-clad aluminum alloy wire starts wire arranging; A second acquisition module, configured to acquire pressure information in real time; wherein, the pressure information is used to reflect the weight data of the wire collecting mechanism; A first analysis module, configured to analyze according to the pressure information to obtain change information; wherein, the change information is used to reflect the incremental change condition of the pressure information; A second analysis module, configured to analyze the sound signal based on the change type of the change information to obtain a detection result; wherein, the detection result is used to reflect the winding uniformity of the wire collecting mechanism for the wire.

[0016] Third aspect, an embodiment of the present application provides an automatic wire arranging device for copper-clad aluminum alloy wire, including a wire collecting mechanism, a wire feeding mechanism, a sound generating device, a sound receiving device and a control device. The wire collecting mechanism, the wire feeding mechanism, the sound generating device, the sound receiving device are electrically connected to the control device. The control device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, it implements the method according to any one of the above first aspects.

[0017] Fourth aspect, an embodiment of the present application provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the method according to any one of the above first aspects.

[0018] Fifth aspect, an embodiment of the present application provides a computer program. When the computer program runs on an automatic wire arranging device for copper-clad aluminum alloy wire, it causes the automatic wire arranging device for copper-clad aluminum alloy wire to execute the automatic wire arranging method for copper-clad aluminum alloy wire according to any one of the above first aspects.

[0019] It can be understood that the beneficial effects of the above second aspect to fifth aspect can refer to the relevant descriptions in the above first aspect, and will not be repeated here. Brief Description of the Drawings

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0021] Figure 1 is a schematic flowchart of an automatic wire arranging method for copper-clad aluminum alloy wire provided by an embodiment of the present application; Figure 2 is a schematic implementation flowchart of an automatic wire arranging method for copper-clad aluminum alloy wire provided by an embodiment of the present application; Figure 3 is a schematic structural diagram of an automatic wire arranging device for copper-clad aluminum alloy wire provided by an embodiment of the present application; Figure 4 is a schematic structural diagram of a control device of an automatic wire arranging equipment for copper-clad aluminum alloy wire provided by an embodiment of the present application; Figure 5 is a schematic structural diagram of a wire take-up mechanism of an automatic wire arranging equipment for copper-clad aluminum alloy wire provided by an embodiment of the present application.

[0022] Among them, each reference numeral in the figure: 100, wire take-up mechanism; 110, support platform; 120, sound generating device; 130, sound receiving device; 140, wire reel; 141, channel; 142, first port; 143, second port. Detailed Embodiments

[0023] In the following description, specific details such as specific system structures and technologies are proposed for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present application. However, those skilled in the art should clearly understand that the present application can also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid unnecessary details from interfering with the description of the present application.

[0024] It should be understood that when used in the specification of the present application and the appended claims, the term "comprising" indicates the presence of the described features, wholes, steps, operations, elements, and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their combinations.

[0025] It should also be understood that the term "and / or" used in the specification of the present application and the appended claims refers to any combination and all possible combinations of one or more of the related listed items, and includes these combinations.

[0026] As used in the specification of the present application and the appended claims, the term "if" may be construed, depending on the context, as "when", "once", "in response to determining", or "in response to detecting". Similarly, the phrase "if determined" or "if [the described condition or event] is detected" may be construed, depending on the context, to mean "once determined", "in response to determining", "once [the described condition or event] is detected", or "in response to detecting [the described condition or event]".

[0027] In addition, in the description of the specification of the present application and the appended claims, the terms "first", "second", "third", etc. are only used for distinguishing descriptions and should not be construed as indicating or implying relative importance.

[0028] Reference to "one embodiment" or "some embodiments" or the like described in the specification of the present application means that a specific feature, structure, or characteristic described in connection with that embodiment is included in one or more embodiments of the present application. Thus, statements such as "in one embodiment", "in some embodiments", "in other some embodiments", "in still other embodiments", etc., which appear in different places in this specification, do not necessarily all refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized. The terms "comprising", "including", "having", and their variants all mean "including but not limited to", unless otherwise specifically emphasized.

[0029] In the related art, during the winding process, due to the tension fluctuations in the production of the wire, the unevenness of the wire material, the tension fluctuations in the wire arrangement process, or the contact pressure fluctuations between the wire guide wheel and the wire caused by the wear of the wire guide wheel, the wire diameter of the wire to be wound onto the winding drum may change (such as the wire becoming locally thinner or thicker), thereby affecting the uniformity of the wire arrangement on the winding wheel and the structural stability of the winding drum. Detecting the wound winding drum is a necessary step to ensure product quality and production stability. During the detection of the wound winding drum, generally, machine vision is used to detect the wound winding drum at present, that is, the surface of the winding drum is detected by an industrial camera through image vision. However, during this process, due to changes in environmental conditions (for example, the ambient light becomes darker or brighter, and airborne particulate matter accumulates on the camera lens), the clarity of the image collected by the industrial camera may be reduced, and ultimately the accuracy of the detection result of the winding uniformity of the winding drum is reduced.

[0030] To solve the above problems, an embodiment of the present application provides an automatic wire arranging method for copper-clad aluminum alloy wires. In this method, when a trigger signal indicating the start of wire arranging by the automatic wire arranging device for copper-clad aluminum alloy wires is detected, a sound generating device emits a sound from the first port of the wire take-up mechanism along the wire take-up direction in the direction reflecting that the wire is wound from the first port to the second port of the wire take-up mechanism. At the same time, a sound receiving device acquires a sound signal at the second port of the wire take-up mechanism, then obtains pressure information reflecting the weight data of the wire take-up mechanism in real time, analyzes the pressure information to obtain change information reflecting the incremental change status of the pressure information, and finally analyzes the sound signal based on the change type of the change information to obtain a detection result reflecting the winding uniformity of the wire by the wire take-up mechanism. This method can detect the weight of the copper-clad aluminum alloy wire arranged on the winding drum in real time by weight, and detect the sound change of the sound passing through the winding drum during the winding process from the sound aspect, so as to realize real-time monitoring of the winding drum, thereby achieving the purpose of detecting the winding uniformity of the winding drum during the winding process, reducing the influence of environmental conditions on the detection process, and improving the accuracy of the winding uniformity detection result of the winding drum.

[0031] The automatic wire arranging method for copper-clad aluminum alloy wires provided by the embodiment of the present application can be applied to an automatic wire arranging device for copper-clad aluminum alloy wires. At this time, the automatic wire arranging device for copper-clad aluminum alloy wires is the execution subject of the automatic wire arranging method for copper-clad aluminum alloy wires provided by the embodiment of the present application, and the embodiment of the present application does not impose any restrictions on the specific type of the automatic wire arranging device for copper-clad aluminum alloy wires.

[0032] The automatic wire arranging device for copper-clad aluminum alloy wire includes a wire winding mechanism, a wire feeding mechanism, and a control device. The wire winding mechanism, the wire feeding mechanism, the sound emitting device, the sound receiving device are electrically connected to the control device. The wire winding mechanism includes a support platform, a sound emitting device, a sound receiving device, a wire reel, and a pressure sensor. The support platform is used to fix the wire reel. For example, the support platform can be a spool holder or an X-shaped frame platform, etc. The sound emitting device is arranged at the first port of the wire reel, and the sound emitting device is mechanically connected to the support platform. The sound emitting device is used to send out sound. For example, the sound emitting device can be a speaker or a buzzer. The sound receiving device is arranged at the second port of the wire reel, and the sound receiving device is mechanically connected to the support platform. The sound receiving device is used to receive the sound emitted by the sound emitting device. For example, the sound receiving device can be a microphone or a pickup, etc. The wire reel is used to wind the copper-clad aluminum alloy wire. For example, the wire reel can be a metal wire reel or a plastic wire reel, etc. The pressure sensor is used to detect the weight of the wire winding mechanism. For example, the pressure sensor can be a capacitive pressure sensor or an inductive pressure sensor, etc., and the pressure sensor is arranged below the support platform. The wire feeding mechanism is arranged at the front end in the feeding direction of the wire winding mechanism, and the wire feeding mechanism and the wire winding mechanism are arranged in a coaxial alignment layout front and back. The wire feeding mechanism is used to guide the copper-clad aluminum alloy wire to the wire winding mechanism. The wire feeding mechanism includes a wire guiding wheel and a driving device, and the wire guiding wheel is connected to the power output end of the driving device. The wire guiding wheel is used to limit the copper-clad aluminum alloy wire on the winding path. The wire guiding wheel can be a guiding wheel, a tension wheel or a pulley, etc. The driving device is used to provide kinetic energy to the wire feeding mechanism. For example, the driving device can be a servo motor or a torque motor, etc. The control device is used to supervise and control the automatic wire arranging process of the copper-clad aluminum alloy wire. For example, the control device can be a single-chip microcomputer, a microcontroller, an application-specific integrated circuit, etc.

[0033] To better understand the automatic wire arranging method for copper-clad aluminum alloy wire provided in the embodiments of the present application, the following provides an exemplary introduction to the specific implementation process of the automatic wire arranging method for copper-clad aluminum alloy wire provided in the embodiments of the present application.

[0034] Figure 1 and Figure 2 shows a schematic flowchart of the automatic wire arranging method for copper-clad aluminum alloy wire provided in the embodiments of the present application. Please refer to Figure 1 and Figure 2 , the automatic wire arranging method for copper-clad aluminum alloy wire includes: S100, when a trigger signal is detected, the sound emitting device emits sound from the first port of the wire winding mechanism, and the sound receiving device acquires a sound signal at the second port of the wire winding mechanism; wherein, the trigger signal is used to reflect that the automatic wire arranging device for copper-clad aluminum alloy wire starts to arrange wire.

[0035] It can be understood that the first port refers to the end where the copper-clad aluminum alloy wire starts to contact the coiling cylinder and begins to wind, that is, the starting end of the winding direction. The second port refers to the end where the copper-clad aluminum alloy wire reaches the coiling cylinder after the coiling process of one layer of the copper-clad aluminum alloy wire on the coiling cylinder is completed, that is, the ending end of the winding direction. When the automatic wire arranging device for the copper-clad aluminum alloy wire receives the trigger signal sent by the control device, while the sound-emitting device emits a sound at the first port, the sound-receiving device acquires a sound signal at the second port. The sound propagation direction is from the first port to the second port.

[0036] S200, obtain pressure information in real time; wherein, the pressure information is used to reflect the weight data of the wire take-up mechanism.

[0037] Exemplarily, the weight data of the wire take-up mechanism during operation can be collected in real time through a pressure sensor or a weighing device, so as to obtain the pressure information.

[0038] S300, analyze according to the pressure information to obtain change information; wherein, the change information is used to reflect the incremental change condition of the pressure information.

[0039] It can be understood that the incremental change refers to the change of the increment of the weight data.

[0040] Exemplarily, by analyzing the pressure information, a dynamic change graph reflecting the change of the pressure information over time can be obtained, and then by analyzing the dynamic change graph, the change information can be obtained.

[0041] It is also possible to directly perform time series processing on the pressure information, plot the pressure information after time series processing into a pressure change graph, then perform second derivative processing on the pressure change graph, and finally use the data after the second derivative processing of the pressure change graph as the change information.

[0042] In a possible implementation manner, in step S300, analyzing according to the pressure information to obtain change information includes: S310, analyze according to multiple pressure information to obtain a change graph; wherein, the change graph is a dynamic change graph reflecting the incremental change of the pressure information over time.

[0043] Exemplarily, by analyzing the pressure information, the pressure information corresponding to different time points can be processed to obtain multiple data reflecting the processed pressure information corresponding to adjacent time points, and then the multiple data reflecting the processed pressure information corresponding to adjacent time points are processed according to the time series to obtain the change graph. It is also possible to directly plot multiple pressure information into a pressure change graph, then perform second derivative processing on the pressure change graph, and confirm the graph after the second derivative processing of the pressure change graph as the change graph.

[0044] In a possible implementation, in step S310, based on the analysis of multiple pressure information, a change diagram is obtained, including: S311, perform a secondary adjacent position comparison on the pressure information corresponding to different time points in time series to obtain multiple secondary comparison values; wherein, the secondary comparison value is used to reflect the data obtained after the secondary adjacent position comparison of the pressure information corresponding to adjacent time points.

[0045] It can be understood that the secondary adjacent position comparison refers to the process of comparing the adjacent data in time series of multiple pressure information and then performing adjacent data comparison again. That is, first, a first-order difference calculation is required for the pressure information to obtain a first-order difference sequence of adjacent time points, that is, ( ), where M i is the first-order difference sequence, and P i is the pressure information. On this basis, a secondary difference operation is further performed on the first-order difference sequence to generate a secondary comparison value sequence, that is, ( ), where N i is the secondary comparison value sequence, that is, the change information.

[0046] S312, generate a change diagram from multiple secondary comparison values in time series.

[0047] It can be understood that by performing a secondary difference analysis on the pressure data in time series, the rate of change of the pressure increment between adjacent time points can be quantified, thereby capturing the trend inflection point of the pressure increment fluctuation. The trend inflection point is the characteristic point above or below the horizontal axis in the change diagram, and also represents different weight increment change conditions.

[0048] Exemplarily, multiple coordinate pairs can be obtained by constructing coordinates of multiple secondary comparison values and the corresponding time points. Among them, the representation method of the coordinate pair is (secondary comparison value, time point). Then, by using a drawing software to draw an image of multiple coordinate pairs, a change diagram is finally obtained. The step of drawing an image of multiple coordinate pairs is to connect the coordinate pairs into a curve by using the corresponding function of the drawing software, and finally form a change diagram.

[0049] With such a setting, through the feature enhancement processing of mathematical morphology, the scalar monitoring of traditional pressure detection is upgraded to vector dynamic analysis, which can improve the detection accuracy.

[0050] S320, analyze according to the change diagram to obtain change information.

[0051] Exemplarily, by performing zero - point comparison on the variation graph, the weight increment change data corresponding to different symbols in the variation graph can be confirmed as the corresponding variation conditions, and the time points corresponding to the variation conditions can be obtained. Then, different variation conditions and the corresponding time points are confirmed as variation information of different conditions. It is also possible to obtain the variation information by training to establish a learning model. That is, the variation graph is input into the learning model, and the learning model outputs the corresponding variation information. The training process of the learning model can use the data obtained by processing the variation graph and the corresponding variation information as the training data set of the learning model, and then input the training data set of the learning model into the learning model for training and learning to finally obtain the learning model.

[0052] With such a setting, by analyzing the morphological features of the variation graph to obtain the variation information, it is possible to trace back to the specific winding process state and improve the defect back - tracing detection efficiency.

[0053] In a possible implementation manner, in step S320, by analyzing the variation graph to obtain the variation information, including: S321, perform zero - point comparison on the variation graph, confirm the data that is less than 0 and the smallest in the variation graph as the first data point, and obtain the first time point corresponding to the first data point.

[0054] It can be understood that zero - point comparison means comparing different data in the variation graph with zero to obtain the positive and negative situations of different data in the variation graph. The data less than 0 in the variation graph can reflect the thinning of the wire diameter of the copper - clad aluminum alloy wire.

[0055] Exemplarily, if the data corresponding to the variation graph at the 3rd s to the 6th s is 0, - 0.8, - 1, 0, the time point corresponding to data 0 is 3 s, the time point corresponding to - 0.8 is 4 s, the time point corresponding to - 1 is 5 s, and the time point corresponding to 0 is 6 s, then - 1 is confirmed as the first data point, and 5 s is confirmed as the first time point, and so on.

[0056] S322, confirm the first data point and the first time point as the first variation information of the variation information; among them, the first variation information is used to reflect the maximum value of the first increment change of the copper - clad aluminum alloy wire.

[0057] It can be understood that the first variation information includes the first data point and the first time point.

[0058] Exemplarily, when - 1 is the first data point and 5 s is the first time point, then the first variation information is (-1, 5 s), and so on.

[0059] S323, confirm the data that is greater than 0 and the largest in the variation graph as the second data point, and obtain the second time point corresponding to the second data point.

[0060] It can be understood that when there is data greater than 0 in the change graph, it indicates that the wire diameter of the copper-clad aluminum alloy wire becomes thicker.

[0061] Exemplarily, if the data corresponding to the change graph from the 6th second to the 9th second is 0, 0.6, 1, 0, the time point corresponding to the data 0 is the 6th second, the time point corresponding to 0.6 is the 7th second, the time point corresponding to 1 is the 8th second, and the time point corresponding to 0 is the 9th second, then 1 is identified as the second data point, and the 8th second is identified as the second time point, and so on.

[0062] S324, confirm the second data point and the second time point as the second change information of the change information; wherein, the second change information is used to reflect the maximum value of the second incremental change of the copper-clad aluminum alloy wire.

[0063] It can be understood that the second change information includes the second data point and the second time point.

[0064] Exemplarily, when 1 is the second data point and the 8th second is the second time point, the second change information is (1, 8th second), and so on.

[0065] With such a setting, by comparing with zero points in the change graph, identifying the maximum value of the incremental change of the copper-clad aluminum alloy wire at two key time points, and dividing it into different change information according to different incremental change situations, the change situation of the copper-clad aluminum alloy wire can be mapped comprehensively.

[0066] S400, analyze the sound signal based on the change type of the change information to obtain a detection result; wherein, the detection result is used to reflect the winding uniformity of the wire by the take-up mechanism.

[0067] It can be understood that the change type refers to the wire diameter change situation of the copper-clad aluminum alloy wire, and also the positive and negative situation of the change information.

[0068] Exemplarily, it is possible to obtain the time for reflecting the take-up of one turn of the copper-clad aluminum alloy wire by the take-up mechanism, then process the sound signal according to this time to obtain a data chain composed of sound signals corresponding to the time span indicating a complete such time and a data chain composed of sound signals corresponding to the end time point indicating a complete such time, and then analyze based on the change type of the change information, according to the change information, the time for reflecting the take-up of one turn of the copper-clad aluminum alloy wire by the take-up mechanism, the data chain composed of sound signals corresponding to the time span indicating a complete such time, and the data chain composed of sound signals corresponding to the end time point indicating a complete such time, to obtain the detection result.

[0069] It is also possible to perform joint time-frequency domain analysis on the sound signal, extract the energy distribution of the characteristic frequency band related to the winding action by using the wavelet packet decomposition algorithm, capture the non-linear characteristics of the acoustic signal in combination with the Mel Frequency Cepstral Coefficient (MFCC), construct a dynamic association model based on change types such as change information and cycle time, and determine the association relationship between the acoustic parameters and the detection result through covariance analysis, so as to identify the detection result.

[0070] With such a setting, by detecting the weight of the copper-clad aluminum alloy wire arranged on the winding cylinder in real time by weight, and then detecting the change in the sound passing through the winding cylinder during the winding process from the sound aspect, it is possible to realize real-time monitoring of the winding cylinder, so as to achieve the purpose of detecting the winding uniformity of the winding cylinder during the winding process, thereby reducing the influence degree of environmental conditions on the detection process and improving the accuracy of the winding uniformity detection result of the winding cylinder.

[0071] In a possible implementation manner, in step S400, based on the change type of the change information, analyze the sound signal to obtain the detection result, including: S410, obtain the cycle time; where the cycle time is used to reflect the time for the winding mechanism to wind one circle of the copper-clad aluminum alloy wire.

[0072] It can be understood that there is a corresponding cycle time for copper-clad aluminum alloy wires of different production sizes.

[0073] Exemplarily, the cycle time can be directly obtained from the winding parameters manually input by humans. The cycle time can also be directly obtained through the time database. The time database refers to a database that contains the cycle times corresponding to copper-clad aluminum alloy wires of different wire diameters. These data can be obtained through means such as laboratory experiments, on-site measurements and monitoring, and past experience. After obtaining the data, organize, classify, and file the collected data, extract useful information and rules, and then save the relevant data into the database to form a time database.

[0074] S420, process the sound signal according to the cycle time to obtain a first feature chain and a second feature chain; where the first feature chain is used to indicate the data chain composed of the sound signals corresponding to the cycle time period, and the second feature chain indicates the data chain composed of the sound signals corresponding to the cycle time point. The cycle time period refers to the time span of a complete cycle time, and the cycle time point refers to the end time point of a complete cycle time.

[0075] Exemplarily, the sound signal can be processed by the cycle time to obtain a plurality of pieces of sound data for reflecting the sound signal within the cycle time period, and a first feature chain is generated according to the plurality of pieces of sound data for reflecting the sound signal within the cycle time period. At the same time, a plurality of pieces of sound data corresponding to the cycle time points in the sound signal are obtained, and a second feature chain is generated according to the plurality of pieces of sound data corresponding to the cycle time points in the sound signal.

[0076] An analysis model can also be established through training to obtain the first feature chain and the second feature chain. That is, the sound signal is input into the analysis model, and the analysis model then outputs the corresponding first feature chain and second feature chain. The training process of the analysis model can use the data obtained by processing the sound signal and the corresponding first feature chain and second feature chain as the training data set of the analysis model, and then the training data set of the analysis model is input into the analysis model for training and learning to finally obtain the analysis model.

[0077] In a possible implementation manner, in step S420, processing the sound signal according to the cycle time to obtain the first feature chain and the second feature chain includes: S421, segment the sound signal based on the cycle time to obtain a plurality of sound data segments, and generate a first feature chain according to the plurality of sound data segments; wherein, the sound data segments are used to reflect the sound data in the sound signal within the cycle time period.

[0078] It can be understood that data segment segmentation means that the sound signal is segmented into a plurality of sound data segments with a cycle time as the segmentation point, and the time span of the plurality of sound data segments is the same as the cycle time.

[0079] Exemplarily, if the cycle time is 3s, the plurality of sound data segments are the data of the sound signal from 0s to 3s, the data from 3s to 6s, the data from 6s to 9s, and so on. By analogy, the first feature chain is a data chain formed by sorting the plurality of sound data segments in time series.

[0080] S422, obtain a plurality of sound data points based on the cycle time for the sound signal, and generate a second feature chain according to the plurality of sound data points; wherein, the sound data points are used to reflect the sound data corresponding to the cycle time points in the sound signal.

[0081] It can be understood that data point acquisition means obtaining a plurality of sound data points in the sound signal, and the time scales of the plurality of sound data points are the same as the cycle time points.

[0082] Exemplarily, if the cycle time is 3s, then the multiple voice data segments are the data of the 0s, 3s, 6s, 9s, etc. in the voice signal, and so on. Then, the second feature chain is the data chain formed by sorting multiple voice data points in time series.

[0083] With such a setting, by segmenting the data of the voice signal in cycle time periods and obtaining the data points at cycle time points, the first feature chain reflecting the characteristics of the continuous signal within the cycle and the second feature chain reflecting the characteristics of the cycle critical instantaneous signal are respectively generated, constructing a two-dimensional signal feature extraction system, realizing the comprehensive capture of the change law of the periodic signal and the characteristics of the key nodes during the winding process, and providing more detailed feature data support for accurately detecting the abnormal winding.

[0084] S430. Based on the change type of the change information, analyze according to the change information, cycle time, first feature chain and second feature chain to obtain the detection result.

[0085] Exemplarily, when the change information is the first change information, analyze according to the first time of the first change information and the cycle time to obtain the number of cycles of the cycle time corresponding to the first time, and then according to the number of cycles of the cycle time corresponding to the first time. Then, match according to the number of cycles of the cycle time corresponding to the first time and the first feature chain to obtain the voice data segment corresponding to the first feature chain and the number of cycles of the cycle time corresponding to the first time, and then analyze according to this data segment and the first data point of the first change information to obtain the winding uniformity of the winding wire at the first time point reflecting the first type of change information. Finally, the winding uniformity of the winding wire at the first time point reflecting the first type of change information is confirmed as the detection result. When the change information is the second change information, then analyze according to the second time in the second change information and the cycle time to obtain the number of cycles of the cycle time corresponding to the second time, and then match according to the start and end time points of the number of cycles of the cycle time corresponding to the second time and the second feature chain to obtain the voice data corresponding to the start time point of the second affiliated cycle in the second feature chain and the time data corresponding to the end time point of the second affiliated cycle in the second feature chain, and then compare these two time data to obtain the difference after comparison. Finally, analyze the difference, the second affiliated cycle and the first feature chain to obtain the detection result.

[0086] The detection result can also be obtained by training a detection model. That is, the change information, cycle time, first feature chain, and second feature chain are input into the detection model, and the detection model then outputs the corresponding detection result. The training process of the detection model can use the data obtained by processing the change information, cycle time, first feature chain, second feature chain, and the corresponding detection results as the training data set of the detection model, and then input the training data set of the detection model into the detection model for training and learning to finally obtain the detection model.

[0087] With such a setting, by obtaining the cycle time of the take-up mechanism for winding the copper-clad aluminum alloy wire, processing the sound signal based on this to obtain a double feature chain reflecting the signal characteristics during the cycle and at the end of the cycle, and analyzing in combination with the change information to obtain the detection result, it realizes the accurate capture of the periodic sound signal characteristics during the take-up process and the effective detection of abnormal states, improving the pertinence and accuracy of monitoring.

[0088] In a possible implementation manner, in step S430, based on the change type of the change information, analyze according to the change information, cycle time, first feature chain, and second feature chain to obtain the detection result, including: S431, when the change information is the first change information, analyze according to the first time of the first change information and the cycle time to obtain the first membership cycle of the first change information; wherein, the first membership cycle is used to reflect the number of cycle times of the cycle time corresponding to the first time, and the number of cycle times is used to reflect the number of cycles of the cycle time.

[0089] It can be understood that the ceiling function ( ) can be used to process the first time and the cycle time to obtain the first membership cycle corresponding to the first time.

[0090] Exemplarily, if the cycle time is 3s and the first time is 4s, then the first membership cycle is the 2nd ( ) cycle time, that is, from the 3rd s to the 6th s, refers to the smallest integer greater than the value of X, where X is the ratio of the first time to the cycle time. If the cycle time is 3s and the first time is 3s, then the first membership cycle is the 1st ( ) cycle time, that is, from the 0th s to the 3rd s, and so on.

[0091] S432, match the first membership cycle with the first feature chain to obtain the first matching data segment; wherein, the first matching data segment is used to reflect the sound data segment in the first feature chain corresponding to the first membership cycle.

[0092] It can be understood that the first feature chain is the connection of different feature nodes divided according to different cycle time periods, and the feature nodes are the data in the change graph corresponding to different cycle time periods.

[0093] Exemplarily, when the first affiliated period is from the 3rd second to the 6th second, the first matching data segment is the data in the first feature chain at the 3rd second to the 6th second, and so on.

[0094] S433. Analyze based on the first data point of the first matching data segment and the first change information to obtain the first influence degree of the first data point; wherein, the first influence degree is used to reflect the winding uniformity of the winding wire of the first type of change information at the first time point.

[0095] Exemplarily, the first data point can be used to process the first matching data segment to obtain a data segment for reflecting the data segment after removing the first data point in the first matching data segment, and then analyze according to the first matching data segment after removing the first data point to obtain a variance value for reflecting this data segment, and at the same time analyze the variance value of the first matching data segment, and then process according to these two variance values to obtain the first influence degree.

[0096] The first data point can also be used to process the first matching data segment to obtain a data segment for reflecting the data segment after replacing the average data in the first matching data segment with the first data point in the first matching data segment, and then analyze according to this data segment to obtain the variance value of this data segment and process it with the variance value of the first matching data segment to obtain the first influence degree.

[0097] In a possible implementation manner, in step S433, analyzing based on the first data point of the first matching data segment and the first change information to obtain the first influence degree of the first data point includes: S4331. Process the first matching data segment and the first data point to obtain a processed data segment; wherein, the processed data segment is used to reflect the data segment after removing the first data point in the first matching data segment.

[0098] It can be understood that since the first data point is the data point corresponding to the time point when the weight increment change of the wire take-up mechanism changes. That is, the difference between the data of the first matching data segment after removing the first data point can reflect the winding uniformity of the copper-clad aluminum alloy wire by the wire take-up mechanism.

[0099] Exemplarily, if the first matching data segment is (0, -0.8, -1, 0) and the first data point is -1, then the processed data segment is (0, -0.8, 0), and so on.

[0100] S4332. Analyze according to the processed data segment to obtain the first variance; wherein, the first variance is used to reflect the variance value of the sound data of the processed data segment.

[0101] Exemplarily, the first variance can be obtained by performing a variance operation on the processed data segment. The variance operation refers to the degree of deviation of the processed data segment from the average value of the processed data segment. The calculation formula for the variance operation can be: , where is the variance, is the number of data in the processed data segment, is the data value of the processed data segment, is the average data value of the processed data segment.

[0102] S4333. Analyze according to the first matching data segment to obtain the second variance; wherein, the second variance is used to reflect the variance value of the sound data of the first matching data segment.

[0103] Exemplarily, the analysis steps of the second variance can be obtained by the method of obtaining the first variance according to the first matching data segment in step S4332, which will not be elaborated here.

[0104] S4334. Process according to the first variance and the second variance to obtain a comparison value; wherein, the comparison value is used to reflect the ratio between the first variance and the second variance.

[0105] It can be understood that the comparison value = the first variance ÷ the second variance.

[0106] Exemplarily, if the first variance is 0.1422 and the second variance is 0.2075, then the comparison value is 0.685 (0.1422 ÷ 0.2075), and so on.

[0107] S4335. Process according to the comparison value and the preset comparison value to obtain the first degree of influence.

[0108] It can be understood that the first degree of influence = the comparison value ÷ the preset comparison value × 100%. The preset comparison value is a preset comparison value, which can be manually input by humans. The preset comparison value can also be directly obtained from the comparison database. The comparison database refers to a database that contains the comparison values corresponding to the wire diameters of copper-clad aluminum alloy wires produced differently. These data can be obtained through means such as laboratory experiments, on-site measurements and monitoring, and past experience. After obtaining the data, the collected data is sorted, classified, and archived, useful information and rules are extracted, and the relevant data is saved to the database to form a comparison database.

[0109] Exemplarily, if the preset comparison value is 0.8 and the comparison value is 0.685, then the first degree of influence is 85.6% (0.685 ÷ 0.8), and so on.

[0110] With such settings, by removing specific data points in the matching data segment and calculating the variances before and after, a comparison value reflecting the influence of the data points is generated, and the first degree of influence is determined in combination with a preset standard, realizing the quantitative evaluation of the influence intensity of the key time point data in the periodic signal, effectively separating the instantaneous disturbance and the continuous signal characteristics, and improving the positioning accuracy of the abnormal signal and the influence analysis ability.

[0111] S434, confirm the first degree of influence of the first data point as the detection result.

[0112] It can be understood that the influence degree value directly quantified after the first data point goes through the above steps is directly determined as the detection result at the first time point of the first data point. That is, the uniformity degree at the first time point is 85.6%, and so on.

[0113] With such settings, by associating the change time with the take-up cycle to determine the subordinate cycle, matching the sound data segment within the corresponding cycle, quantitatively analyzing the influence of the changing data points on the take-up uniformity and outputting the detection result, the accurate positioning and influence evaluation of the changing information in multi-cycle production are realized, and the refinement level of the abnormal detection in the take-up process is improved.

[0114] In a possible implementation manner, in step S430, based on the change type of the change information, analyzing according to the change information, the cycle time, the first feature chain and the second feature chain to obtain the detection result, further including: S435, when the change information is the second change information, analyze according to the second time of the second change information and the cycle time to obtain the second subordinate cycle of the second change information; wherein, the second subordinate cycle is used to reflect the number of cycles of the cycle time corresponding to the second time.

[0115] It can be understood that the second subordinate cycle can be obtained by the method of analyzing the first subordinate cycle through step S431, which will not be elaborated here. S436, based on the start and end time points of the second subordinate cycle, obtain the first matching data point and the second matching data point corresponding to the start and end time points from the second feature chain; wherein, the first matching data point is used to reflect the sound data corresponding to the start time point of the second subordinate cycle in the second feature chain, and the second matching data point is used to reflect the time data corresponding to the end time point of the second subordinate cycle in the second feature chain.

[0116] It can be understood that the second feature chain is the connection of different feature nodes divided according to different cycle time points, and the feature node is the data in the change graph corresponding to different cycle time points.

[0117] Exemplarily, if the second subordinate cycle is from the 3rd s to the 6th s, the second matching data point is the data at the 6th s in the second feature chain, and so on.

[0118] S437. Compare the first matching data point with the second matching data point to obtain a degree of change, where the degree of change is used to reflect the difference between the first matching data point and the second matching data point.

[0119] It can be understood that the degree of change = the first matching data point - the second matching data point. Since the first matching data point is the sound data corresponding to the initial time point of the second affiliated period, and the second matching data point is the sound data corresponding to the end time point of the second affiliated period, the difference between the first matching data point and the second matching data point can reflect the wire diameter change of the copper-clad aluminum alloy wire within the second affiliated period.

[0120] S438. Analyze based on the degree of change and analyze the second affiliated period and the first feature chain to obtain a detection result.

[0121] Exemplarily, the degree of change can be compared with a preset degree of change. When the degree of change is greater than or equal to the preset degree of change, the detection result is that there is a lamination phenomenon of the copper-clad aluminum alloy wire at the second time. When the degree of change is less than the preset degree of change, then match the second affiliated period with the first feature chain to obtain a sound data segment corresponding to the first feature chain and the second affiliated period, and then analyze the sound data segment corresponding to the second affiliated period in the first feature chain and the second data point to obtain the winding uniformity of the winding wire for the change information of the second type at the second time point. Finally, confirm the winding uniformity as the detection result.

[0122] It is also possible to obtain change information by training and establishing an analysis and detection model. That is, input the degree of change, the second affiliated period, and the first feature chain into the analysis and detection model, and the analysis and detection model then outputs the corresponding detection result. The training process of the analysis and detection model can use the data obtained by processing the degree of change, the second affiliated period, the first feature chain, and the corresponding detection results as the training data set of the analysis and detection model, and then input the training data set of the analysis and detection model into the analysis and detection model for training and learning to finally obtain the analysis and detection model.

[0123] With such a setting, by associating the change time with the wire-receiving period to determine the affiliated period, extracting the sound data points at the beginning and end time points of the period and calculating the degree of change, and combining the analysis of the continuous signal characteristics within the period to obtain the detection result, it realizes the quantitative evaluation of the change of the boundary state of the winding period and the multi-dimensional feature fusion analysis, and improves the detection accuracy and traceability ability of periodic critical anomalies.

[0124] In a possible implementation manner, in step S438, analyzing based on the degree of change, the second affiliated period, and the first feature chain to obtain a detection result includes: S4381. When the degree of change is greater than or equal to a preset threshold, the detection result is that there is a lamination phenomenon in the copper-clad aluminum alloy wire at the second time.

[0125] It can be understood that the preset threshold refers to the value of the degree of change set in advance. When the degree of change is greater than or equal to the preset threshold, it can be explained that within the corresponding second membership period, the copper-clad aluminum alloy wire has been laminated on the wire that has been wound onto the spool in the previous turn.

[0126] Exemplarily, the preset threshold can be manually input by a person. The preset threshold can also be directly obtained from a threshold database. The threshold database refers to a database that contains the degrees of change corresponding to copper-clad aluminum alloy wires of different specifications. These data can be obtained through means such as laboratory experiments, on-site measurements and monitoring, and past experience. After obtaining the data, the collected data is sorted, classified, and archived, useful information and rules are extracted, and the relevant data is then saved into the database to form a threshold database.

[0127] S4382. When the degree of change is less than the preset threshold, match the second membership period with the first feature chain to obtain a second matching data segment; wherein, the second matching data segment is used to reflect the sound data segment in the first feature chain corresponding to the second membership period.

[0128] It can be understood that the second matching data segment can be obtained by the method of obtaining the first matching data segment by analyzing the first membership period and the first feature chain through step S432, which will not be elaborated here.

[0129] S4383. Analyze the second matching data segment and the second data point of the second change information to obtain the second influence degree of the second data point; wherein, the second influence degree is used to reflect the winding uniformity of the wire being wound at the second time point for the second type of change information.

[0130] It can be understood that the second influence degree can be obtained by the method of obtaining the first influence degree of the first data point by analyzing the first matching data segment and the first data point of the first change information through step S433, which will not be elaborated here.

[0131] S4384. Confirm the second influence degree of the second data point as the detection result.

[0132] It can be understood that the influence degree value directly quantified after the first data point goes through the above steps is directly determined as the detection result at the first time point of the first data point.

[0133] With such a setting, the degree of change of the second type of change information is hierarchically processed through a preset threshold. When the degree of change exceeds the threshold, the lamination phenomenon is directly determined. When it does not exceed the threshold, the influence of data points on the winding uniformity is analyzed in combination with the sound data segment within the period, which improves the comprehensiveness and robustness of the abnormal detection during the wire winding process.

[0134] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not imply the order of execution. The execution order of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0135] Corresponding to the automatic wire arranging method for copper-clad aluminum alloy wire described in the above embodiments, the embodiments of the present application further provide an automatic wire arranging device for copper-clad aluminum alloy wire. Each module of the automatic wire arranging device for copper-clad aluminum alloy wire can implement each step of the automatic wire arranging method for copper-clad aluminum alloy wire. Figure 3 The structural block diagram of the automatic wire arranging device for copper-clad aluminum alloy wire provided by the embodiments of the present application is shown. For the sake of convenience of description, only the parts related to the embodiments of the present application are shown.

[0136] Refer to Figure 3 , the automatic wire arranging device for copper-clad aluminum alloy wire includes: The first acquisition module is used to detect a trigger signal, the sound generating device emits a sound from the first port of the wire winding mechanism, and the sound receiving device acquires a sound signal at the second port of the wire winding mechanism; wherein, the trigger signal is used to reflect the start of wire arranging of the automatic wire arranging device for copper-clad aluminum alloy wire.

[0137] The second acquisition module is used to acquire pressure information in real time; wherein, the pressure information is used to reflect the weight data of the wire winding mechanism.

[0138] The first analysis module is used to analyze according to the pressure information to obtain change information; wherein, the change information is used to reflect the incremental change condition of the pressure information.

[0139] The second analysis module is used to analyze the sound signal based on the change type of the change information to obtain a detection result; wherein, the detection result is used to reflect the winding uniformity of the wire by the wire winding mechanism.

[0140] It should be noted that the information interaction, execution process, etc. between the above systems / units, due to the same concept as the method embodiments of the present application, for their specific functions and the technical effects brought, reference can be specifically made to the method embodiment part, and details are not described herein again.

[0141] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the above-mentioned division of each functional unit and module is used as an example. In actual applications, the above functions can be allocated to different functional units and modules according to needs, that is, the internal structure of the system is divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment can be integrated into a processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit. In addition, the specific names of each functional unit and module are only for the convenience of mutual distinction and do not limit the protection scope of this application. The specific working processes of the units and modules in the above system can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated here.

[0142] The embodiment of the present application also provides an automatic wire arranging device for copper-clad aluminum alloy wire. The automatic wire arranging device for copper-clad aluminum alloy wire includes a take-up mechanism 100, a wire feeding mechanism, and a control device. The take-up mechanism 100 includes a support table 110, a sound generating device 120, a sound receiving device 130, a wire reel 140, and a pressure sensor. A channel 141 is opened inside the wire reel of the take-up mechanism 100. The sound generating device 120 is arranged at the first port 142 of the wire reel 140. The sound generating device 120 is mechanically connected to the support table 110. The sound receiving device 130 is arranged at the second port 143 of the wire reel 140. The sound receiving device 130 is mechanically connected to the support table 110. The sound generating device, the sound receiving device, and the wire feeding mechanism of the take-up mechanism 100 are all electrically connected to the control device. Figure 4 It is a schematic structural diagram of the control device 4 provided in an embodiment of the present application. As Figure 4 shown, the control device 4 of this embodiment includes: at least one processor 40 ( Figure 4 only one is shown in the figure), at least one memory 41 ( Figure 4 only one is shown in the figure), and a computer program 42 stored in the at least one memory 41 and executable on the at least one processor 40. When the processor 40 executes the computer program 42, the control device 4 implements the steps in any of the above-mentioned embodiments of the automatic wire arranging method for copper-clad aluminum alloy wire, or enables the control device 4 to implement the functions of each module / unit in the above-mentioned system embodiments.

[0143] Exemplarily, the computer program 42 can be divided into one or more modules / units, which are stored in the memory 41 and executed by the processor 40 to complete this application. The one or more modules / units can be a series of computer program instruction segments capable of performing specific functions, and these instruction segments are used to describe the execution process of the computer program 42 in the control device 4.

[0144] The control device 4 can be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The control device 4 may include, but is not limited to, a processor 40 and a memory 41. Those skilled in the art can understand that Figure 4 merely examples of the control device 4 are provided and do not constitute a limitation on the control device 4. It may include more or fewer components than those shown in the figure, or combine certain components, or have different components. For example, it may also include input / output devices, network access devices, a bus, etc.

[0145] The processor 40 can be a central processing unit (CPU), and the processor 40 can also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc.

[0146] In some embodiments, the memory 41 can be an internal storage unit of the control device 4, such as the hard disk or memory of the control device 4. In other embodiments, the memory 41 can also be an external storage device of the control device 4, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the control device 4. Further, the memory 41 can also include both the internal storage unit and the external storage device of the control device 4. The memory 41 is used to store an operating system, application programs, a boot loader, data, and other programs, such as the program code of the computer program. The memory 41 can also be used to temporarily store data that has been output or will be output.

[0147] The embodiments of the present application also provide a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0148] The embodiments of the present application provide a computer program product. When the computer program product runs on the automatic wire arranging device for copper-clad aluminum alloy wires, the automatic wire arranging device for copper-clad aluminum alloy wires implements the steps in any of the above method embodiments.

[0149] 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 storage medium. Based on such an understanding, to implement all or part of the processes in the above method embodiments of the present application, a computer program can be used to instruct relevant hardware to complete. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps in the above method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file or some intermediate form, etc. The computer-readable medium can at least include: any entity or device capable of carrying the computer program code to the automatic wire arranging device for copper-clad aluminum alloy wires, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal, and software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk or an optical disc, etc.

[0150] In the above embodiments, the descriptions of the various embodiments have their own emphases. For the parts not detailed or recorded in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0151] Those of ordinary skill in the art can realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or by a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of the present application.

[0152] In the embodiments provided in the present application, it should be understood that the disclosed automatic wire arranging system and device for copper-clad aluminum alloy wires can be implemented in other ways. For example, the embodiments of the automatic wire arranging system for copper-clad aluminum alloy wires described above are merely illustrative. For example, the division of the modules or units is only a logical function division. In actual implementation, there may be other division methods. For example, 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 displayed or discussed couplings or direct couplings or communication connections between each other can be through some interfaces. The indirect couplings or communication connections of the devices or units can be in electrical, mechanical or other forms.

[0153] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0154] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included within the protection scope of the present application.

Claims

1. An automatic wire arranging method for copper-clad aluminum alloy wire, characterized in that, Applied to an automatic wire arranging device for copper-clad aluminum alloy wire, the automatic wire arranging device for copper-clad aluminum alloy wire includes a wire winding mechanism, a wire feeding mechanism and a control device. The wire winding mechanism includes a winding drum, a sound generating device and a sound receiving device. A channel is formed inside the winding drum. The sound generating device and the sound receiving device are respectively located at a first port and a second port at opposite ends of the channel. The sound generating device, the sound receiving device and the wire feeding mechanism are all electrically connected to the control device. The automatic wire arranging method for copper-clad aluminum alloy wire includes: Upon detecting a trigger signal, the sound generating device emits a sound from the first port of the wire winding mechanism, and the sound receiving device acquires a sound signal at the second port of the wire winding mechanism; wherein, the trigger signal is used to indicate the start of wire arranging by the automatic wire arranging device for copper-clad aluminum alloy wire; Obtain pressure information in real time; wherein, the pressure information is used to reflect the weight data of the wire winding mechanism; Analyze the pressure information to obtain change information; wherein, the change information is used to reflect the incremental change condition of the pressure information; Analyze the sound signal based on the change type of the change information to obtain a detection result; wherein, the detection result is used to reflect the uniformity of the winding of the copper-clad aluminum alloy wire by the wire winding mechanism.

2. The automatic wire arranging method of copper-clad aluminum alloy wire according to claim 1, characterized in that, The step of analyzing the pressure information to obtain change information includes: Analyze multiple pieces of the pressure information to obtain a change graph; wherein, the change graph is used to reflect the dynamic change graph of the incremental change of the pressure information over time; Analyze the change graph to obtain change information.

3. The automatic wire arranging method of copper-clad aluminum alloy wire according to claim 2, characterized in that, The step of analyzing multiple pieces of the pressure information to obtain a change graph includes: Perform a secondary adjacent position comparison on the pressure information corresponding to different time points in time series to obtain multiple secondary comparison values; wherein, the secondary comparison values are used to reflect the data obtained after the secondary adjacent position comparison of the pressure information corresponding to adjacent time points; Generate a change graph from the multiple secondary comparison values in time series.

4. The automatic wire arranging method of copper-clad aluminum alloy wire according to claim 2, wherein The step of analyzing the change graph to obtain change information includes: Perform a zero point comparison on the change graph, confirm the data that is less than 0 and the smallest in the change graph as the first data point, and obtain the first time point corresponding to the first data point; Confirm the first data point and the first time point as the first change information of the change information; wherein, the first change information is used to reflect the maximum value of the first incremental change of the copper-clad aluminum alloy wire; Confirm the data that is greater than 0 and the largest in the change graph as the second data point, and obtain the second time point corresponding to the second data point; Confirm the second data point and the second time point as the second change information of the change information; wherein, the second change information is used to reflect the maximum value of the second incremental change of the copper-clad aluminum alloy wire.

5. The automatic wire arranging method of copper-clad aluminum alloy wire according to claim 1, characterized in that, The step of analyzing the sound signal based on the change type of the change information to obtain a detection result includes: Obtain a cycle time; wherein, the cycle time is used to reflect the time taken for the wire winding mechanism to wind one turn of the copper-clad aluminum alloy wire; Process the sound signal according to the cycle time to obtain a first feature chain and a second feature chain; wherein, the first feature chain is used to indicate the data chain composed of the corresponding sound signal within the cycle time period, the second feature chain is used to indicate the data chain composed of the corresponding sound signal at the cycle time point, the cycle time period refers to the time span of a complete cycle time, and the cycle time point refers to the end time point of a complete cycle time; Based on the change type of the change information, analyze according to the change information, the cycle time, the first feature chain and the second feature chain to obtain a detection result.

6. The automatic wire arranging method of copper-clad aluminum alloy wire according to claim 5, characterized in that The process of processing the sound signal according to the cycle time to obtain a first feature chain and a second feature chain includes: Based on the cycle time, segment the sound signal into data segments to obtain a plurality of sound data segments and generate a first feature chain according to the plurality of sound data segments; wherein, the sound data segments are used to reflect the sound data in the sound signal within the cycle time period; Based on the cycle time, obtain sound data points to obtain a plurality of sound data points and generate a second feature chain according to the plurality of sound data points; wherein, the sound data points are used to reflect the sound data in the sound signal corresponding to the cycle time point.

7. The automatic wire arranging method of copper-clad aluminum alloy wire according to claim 5, characterized in that, The analysis based on the change type of the change information, according to the change information, the cycle time and the first feature chain to obtain a detection result includes: When the change information is the first change information, analyze according to the first time of the first change information and the cycle time to obtain the first membership cycle of the first change information; wherein, the first membership cycle is used to reflect the number of cycles of the cycle time corresponding to the first time, and the number of cycles is used to reflect the number of times the cycle time cycles; Match the first membership cycle with the first feature chain to obtain a first matching data segment; wherein, the first matching data segment is used to reflect the sound data segment in the first feature chain corresponding to the first membership cycle; Analyze according to the first matching data segment and the first data point of the first change information to obtain the first influence degree of the first data point; wherein, the first influence degree is used to reflect the winding uniformity of the wire during winding at the first time point for the first type of change information; Confirm the first influence degree of the first data point as the detection result.

8. The automatic wire arranging method of the copper-clad aluminum alloy wire according to claim 7, characterized in that, The analysis according to the first matching data segment and the first data point of the first change information to obtain the first influence degree of the first data point includes: Process the first matching data segment and the first data point to obtain a processed data segment; wherein, the processed data segment is used to reflect the data segment after removing the first data point from the first matching data segment; Analyze according to the processed data segment to obtain a first variance; wherein, the first variance is used to reflect the variance value of the sound data in the processed data segment; Analyze according to the first matching data segment to obtain a second variance; wherein, the second variance is used to reflect the variance value of the sound data of the first matching data segment; Process the first variance and the second variance to obtain a comparison value; wherein, the comparison value is used to reflect the ratio between the first variance and the second variance; Process the comparison value and a preset comparison value to obtain a first degree of influence; And / or, based on the change type of the change information, analyze the change information, the cycle time, the first feature chain and the second feature chain to obtain a detection result, further including: When the change information is the second change information, analyze the second time of the second change information and the cycle time to obtain a second membership cycle of the second change information; wherein, the second membership cycle is used to reflect the number of cycles of the cycle time corresponding to the second time; Based on the start and end time points of the second membership cycle, obtain a first matching data point and a second matching data point corresponding to the start and end time points from the second feature chain; wherein, the first matching data point is used to reflect the sound data in the second feature chain corresponding to the initial time point of the second membership cycle, and the second matching data point is used to reflect the time data in the second feature chain corresponding to the end time point of the second membership cycle; Compare the first matching data point and the second matching data point to obtain a degree of change; wherein, the degree of change is used to reflect the difference between the first matching data point and the second matching data point; Analyze according to the degree of change, analyze the second membership cycle and the first feature chain to obtain a detection result.

9. The automatic wire arranging method of copper-clad aluminum alloy wire according to claim 8, characterized in that, The analyzing according to the degree of change, analyzing the second membership cycle and the first feature chain to obtain a detection result includes: When the degree of change is greater than or equal to a preset threshold, the detection result is that there is a lamination phenomenon in the copper-clad aluminum alloy wire at the second time; When the degree of change is less than the preset threshold, match the second membership cycle and the first feature chain to obtain a second matching data segment; wherein, the second matching data segment is used to reflect the sound data segment in the first feature chain corresponding to the second membership cycle; Analyze the second matching data segment and the second data point of the second change information to obtain a second degree of influence of the second data point; wherein, the second degree of influence is used to reflect the winding uniformity of the wire winding of the second type of change information at the second time point; Confirm the second degree of influence of the second data point as the detection result.

10. An automatic wire arranging device for copper-clad aluminum alloy wire, characterized in that, Applied to the automatic wire arranging device for copper-clad aluminum alloy wire, the automatic wire arranging device for copper-clad aluminum alloy wire includes a wire take-up mechanism, a wire feeding mechanism and a control device. The wire take-up mechanism includes a wire reel, a sound emitting device and a sound receiving device. A channel is provided inside the wire reel. The sound emitting device and the sound receiving device are respectively located at the first port and the second port at opposite ends of the channel. The sound emitting device, the sound receiving device and the wire feeding mechanism are all electrically connected to the control device. The automatic wire arranging device for copper-clad aluminum alloy wire includes: A first acquisition module, configured to detect a trigger signal, the sound emitting device emits a sound from the first port of the wire take-up mechanism, and the sound receiving device acquires a sound signal at the second port of the wire take-up mechanism; wherein, the trigger signal is used to reflect the start of wire arranging by the automatic wire arranging device for copper-clad aluminum alloy wire; A second acquisition module, configured to acquire pressure information in real time; wherein, the pressure information is used to reflect the weight data of the wire take-up mechanism; A first analysis module, configured to analyze based on the pressure information to obtain change information; wherein, the change information is used to reflect the incremental change condition of the pressure information; A second analysis module, configured to analyze the sound signal based on the change type of the change information to obtain a detection result; wherein, the detection result is used to reflect the evenness of the wire winding of the wire take-up mechanism for the wire.

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