Online control method for size precision of copper wire

Abstract

The invention is suitable for the technical field of copper wire control, and particularly relates to a copper wire size precision online control method, which comprises the following steps: determining usable manufacturing equipment, and sending a self-inspection instruction to the usable manufacturing equipment; self-inspection information is received, and copper wire information is obtained; wherein the self-inspection information is used for indicating a detection state obtained by self-inspection of the available manufacturing equipment, and the copper wire information is used for indicating the size precision requirement of the copper wire and the total length of the copper wire needing to be manufactured; performing node analysis based on the self-inspection information and the copper wire information to obtain node control information; wherein the node control information is used for indicating a plurality of detection nodes in a copper wire manufacturing stage; and controlling the dimensional precision of the copper wire based on the node control information. According to the online control method for the size precision of the copper wire, the conditions that the state of manufacturing equipment is uncontrollable and detection lags are avoided as much as possible, and the delivery efficiency of the copper wire is improved.

Description

Technical Field

[0001] The present application belongs to the field of copper wire control technology, and in particular relates to an online control method for copper wire dimensional accuracy. Background Art

[0002] The online control method of copper wire dimensional accuracy refers to the use of a series of technologies and means to monitor and adjust parameters such as the diameter, roundness or cross-sectional area of the tinned copper wire in real time during the production process of the tinned copper wire.

[0003] In the manufacturing of copper wire in related technologies, different manufacturing equipment will lead to inconsistent dimensional accuracy of copper wires in the same batch due to uncontrollable status of the manufacturing equipment and detection lag, making it difficult to meet the requirements of copper wire dimensional accuracy and high rework rate, thus resulting in low delivery efficiency of copper wire. Summary of the Invention

[0004] The embodiment of the present application provides an online control method for copper wire dimensional accuracy, which can solve the problem that the dimensional accuracy of copper wires in the same batch cannot meet the requirements due to the uncontrollable state of manufacturing equipment and delayed detection.

[0005] In a first aspect, an embodiment of the present application provides a method for online control of copper wire dimensional accuracy, comprising: Determining available manufacturing equipment and sending a self-test instruction to the available manufacturing equipment; wherein the self-test instruction is an instruction for the available manufacturing equipment to perform self-test; Receive self-test information and obtain copper wire information; wherein the self-test information is used to indicate the detection status obtained by the available manufacturing equipment through self-test, and the copper wire information is used to indicate the dimensional accuracy requirements of the copper wire and the total length of the copper wire to be manufactured; Performing node analysis based on the self-test information and the copper wire information to obtain node control information; wherein the node control information is used to indicate multiple detection nodes in the copper wire manufacturing stage; The dimensional accuracy of the copper wire is controlled based on the node control information.

[0006] The online control method for copper wire dimensional accuracy provided by the present application determines the usable manufacturing equipment and sends self-test instructions to the usable manufacturing equipment, so that the manufacturing equipment is in the best state before starting production, effectively avoiding dimensional accuracy problems caused by equipment failure or instability; receives self-test information and obtains copper wire information, performs node analysis based on the self-test information and copper wire information, and obtains node control information, which can more accurately predict and control the dimensional accuracy of the copper wire during the manufacturing process, thereby realizing comprehensive monitoring of the manufacturing process, and controlling the dimensional accuracy of the copper wire based on the node control information, which helps to improve the dimensional accuracy of the copper wire, reduce the rework rate and delivery cost, and avoid as much as possible the uncontrollable state of the manufacturing equipment and the detection lag, reduce the inconsistency of the dimensional accuracy of the copper wires in the same batch, meet the requirements of the dimensional accuracy of the copper wire, reduce the rework rate, and thus improve the delivery efficiency of the copper wire.

[0007] In a second aspect, an embodiment of the present application provides an online control system for copper wire dimensional accuracy, comprising: a determination and sending unit, configured to determine available manufacturing equipment and send a self-test instruction to the available manufacturing equipment; wherein the self-test instruction is an instruction for the available manufacturing equipment to perform self-test; A receiving and obtaining unit, configured to receive self-test information and obtain copper wire information; wherein the self-test information is used to indicate a test status obtained by the usable manufacturing equipment through self-testing, and the copper wire information is used to indicate the dimensional accuracy requirements of the copper wire and the total length of the copper wire to be manufactured; An analysis unit, configured to perform node analysis based on the self-test information and the copper wire information to obtain node control information; wherein the node control information is used to indicate a plurality of detection nodes in the copper wire manufacturing stage; A control unit is used to control the dimensional accuracy of the copper wire based on the node control information.

[0008] In a third aspect, an embodiment of the present application provides an online control device for copper wire size accuracy, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the method described in any one of the first aspects above.

[0009] In a fourth aspect, an embodiment of the present application provides a computer program product. When the computer program product runs on a copper wire dimensional accuracy online control device, the copper wire dimensional accuracy online control device executes the copper wire dimensional accuracy online control method described in any one of the above-mentioned first aspects.

[0010] It can be understood that the beneficial effects of the second to fourth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments or descriptions of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0012] Figure 1 1 is a flow chart of a method for online control of copper wire dimensional accuracy provided by an embodiment of the present application; Figure 2 1 is a schematic diagram of the implementation flow of step S100 in the method for online control of copper wire dimensional accuracy provided in one embodiment of the present application; Figure 3 1 is a schematic diagram of the implementation flow of step S300 in the method for online control of copper wire dimensional accuracy provided in one embodiment of the present application; Figure 4 1 is a schematic diagram of the implementation flow of step S330 in the method for online control of copper wire dimensional accuracy provided in one embodiment of the present application; Figure 5 This is a schematic structural diagram of an online control system for copper wire dimensional accuracy provided by an embodiment of the present application; Figure 6 It is a structural schematic diagram of the control device of the copper wire size accuracy online control equipment provided in an embodiment of the present application. DETAILED DESCRIPTION

[0013] In the following description, specific details such as specific system structures and techniques are provided for purposes of illustration rather than limitation to facilitate a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application may 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 obscuring the description of the present application with unnecessary detail.

[0014] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or collections thereof.

[0015] It will also be understood that the term "and / or" used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0016] As used in this specification and the appended claims, the term "if" can be interpreted as "when" or "upon" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "upon determination" or "in response to determining" or "upon detection of [described condition or event]" or "in response to detecting [described condition or event]," depending on the context.

[0017] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0018] References to "one embodiment" or "some embodiments" in this specification mean that a particular feature, structure, or characteristic described in conjunction with that embodiment is included in one or more embodiments of the present application. Thus, phrases such as "in one embodiment," "in some embodiments," "in other embodiments," and "in other embodiments" appearing in various places in this specification do not necessarily refer to the same embodiment, but rather mean "one or more but not all embodiments," unless otherwise specifically emphasized. The terms "including," "comprising," "having," and variations thereof all mean "including but not limited to," unless otherwise specifically emphasized.

[0019] In the manufacturing of copper wire in related technologies, different manufacturing equipment may lead to inconsistent dimensional accuracy of copper wires in the same batch due to uncontrollable status of the manufacturing equipment and delayed detection, making it difficult to meet the requirements of copper wire dimensional accuracy and resulting in a high rework rate, which in turn leads to low delivery efficiency of copper wires.

[0020] To solve the above problems, the embodiment of the present application provides a method for online control of copper wire dimensional accuracy. In this method, the available manufacturing equipment is determined, and a self-test instruction is sent to the available manufacturing equipment, so that the manufacturing equipment is in the best state before starting production, effectively avoiding dimensional accuracy problems caused by equipment failure or instability; receiving self-test information, and obtaining copper wire information, performing node analysis based on the self-test information and the copper wire information, and obtaining node control information, which can more accurately predict and control the dimensional accuracy of the copper wire in the manufacturing process, realize comprehensive monitoring of the manufacturing process, and control the dimensional accuracy of the copper wire based on the node control information, which helps to improve the dimensional accuracy of the copper wire and reduce the rework rate and delivery cost, and avoid the uncontrollable state of the manufacturing equipment and the detection lag as much as possible, reduce the inconsistency of the dimensional accuracy of the copper wires in the same batch, meet the requirements of the dimensional accuracy of the copper wire, reduce the rework rate, and thus improve the delivery efficiency of the copper wire.

[0021] The copper wire size accuracy online control method provided in the embodiment of the present application can be applied to the copper wire size accuracy online control device. At this time, the copper wire size accuracy online control device is the executor of the copper wire size accuracy online control method provided in the embodiment of the present application. The embodiment of the present application does not impose any restrictions on the specific type of the copper wire size accuracy online control device.

[0022] For example, online copper wire dimensional accuracy control equipment includes manufacturing equipment and a control device, wherein the control device is communicatively connected to the manufacturing equipment. The control device can be a control panel or console, but can also be a tablet computer, laptop computer, ultra-mobile personal computer (UMPC), desktop computer, smart screen, computer, laptop computer, handheld computing device, etc., but is not limited to these. The manufacturing equipment can include, but is not limited to, a melting device, a continuous casting and rolling device, a wire drawing machine, and an annealing device. The melting device, continuous casting and rolling device, wire drawing machine, and annealing device are all communicatively connected to the control device. The melting device is used to melt the copper raw material, for example, a medium-frequency induction furnace. The continuous casting and rolling device cools and solidifies the liquid copper in the crystallizer to form the initial copper rod shell. It has excellent thermal conductivity and wear resistance, and can precisely control the shape and size of the copper rod. The wire drawing machine places the copper rod to be drawn, and then, through a reasonable mechanical structure and tension control, ensures that the copper rod enters the wire drawing die smoothly, ensuring the stability of the drawing process. The annealing device heats the copper atoms to obtain sufficient energy, allowing them to rearrange into a stable crystal structure, thereby eliminating internal stress and restoring the plasticity and toughness of the material. The annealing device can be, but is not limited to, a box-type annealing furnace or a continuous annealing furnace.

[0023] In order to better understand the online control method for copper wire dimensional accuracy provided in the embodiment of the present application, the specific implementation process of the online control method for copper wire dimensional accuracy provided in the embodiment of the present application is exemplarily introduced below.

[0024] Figure 1 A schematic flow chart of an online control method for copper wire dimensional accuracy provided in an embodiment of the present application is shown. The online control method for copper wire dimensional accuracy includes: S100 , determining available manufacturing equipment, and sending a self-test instruction to the available manufacturing equipment; wherein the self-test instruction is an instruction for the available manufacturing equipment to perform self-test.

[0025] Understandably, the process of determining usable manufacturing equipment may involve multiple factors. First, the current status of the manufacturing equipment must be determined, such as whether it is idle, has completed its previous production cycle, and has undergone necessary cleaning and maintenance. Second, the equipment's performance parameters, including but not limited to its manufacturing accuracy, stability, and historical failure rate, must be determined. These parameters can be obtained through the equipment's self-diagnostic functions or historical operating data. This allows the determination of usable manufacturing equipment. A self-test command is then sent to the usable manufacturing equipment. The control device sends this command, triggering the equipment's internal self-test, which comprehensively checks the equipment's various parameters and functions.

[0026] In one possible implementation, see Figure 2 S100: Determine the available manufacturing equipment and send a self-test instruction to the available manufacturing equipment, including: S110 , performing reliability operation verification on a plurality of manufacturing equipment to obtain a plurality of first verification information; wherein the first verification information is used to reflect the wear condition of components in the manufacturing equipment.

[0027] Illustratively, multiple manufacturing equipment are simulated and run for a certain period of time (which can be a preset duration) to observe their operating status; then, data from the operation process is collected, such as vibration data, temperature data, sound data, etc., which can reflect the wear of equipment components and obtain the degree of wear of each equipment component; finally, first verification information is generated based on the degree of wear.

[0028] In one possible implementation, see Figure 2 S110: Perform reliability operation verification on multiple manufacturing equipment to obtain multiple first verification information, including: S111, based on the first condition, a simulation prediction of the running-in period of multiple manufacturing equipment is performed to obtain multiple first prediction information; wherein the first prediction information is used to indicate the temperature value and vibration acceleration value during the running-in period, and the first condition is to run at 80% of the rated load for a preset time.

[0029] It is understood that 80% of the rated load can be understood as, for example, if the rated load of a device is 100 units of force (or other load measurement unit), then 80% of the rated load is 80 units of force. The preset operating time can be determined based on the characteristics of the manufacturing equipment and production experience. This time period needs to be determined through testing or equipment operating data.

[0030] For example, multiple manufacturing equipment are simulated and predicted during the run-in period at 80% of their rated load for a preset duration. During this period, temperature and vibration acceleration values are collected to obtain multiple pieces of first prediction information. Each piece of manufacturing equipment corresponds to each piece of first prediction information. Temperature data collection can be accomplished by installing temperature sensors on certain parts of the equipment (e.g., heat-prone areas such as motors and transmission components) to monitor temperature changes in real time. The temperature sensors convert temperature signals into electrical (or digital) signals and transmit them to a control device, which then records the temperature values over the preset duration. For example, temperature data is collected at regular intervals (e.g., 1 minute, 3 minutes, or 5 minutes) to obtain temperature values. Vibration acceleration data collection uses vibration sensors installed on the equipment housing to measure vibration during operation. The vibration sensors convert vibration signals into electrical signals, which are processed to obtain vibration acceleration values. These values are also recorded at regular intervals to obtain vibration acceleration values.

[0031] S112, based on the second condition, a simulation prediction of the full load period is performed on multiple manufacturing equipment to obtain multiple second prediction information; wherein the second prediction information is used to indicate the servo current value and the coolant temperature rise change rate during the full load period, and the second condition is to run at 100% of the rated load for a preset time.

[0032] It is understood that this is substantially the same as step S111 described above; 100% of the rated load can be understood as, for example, if the rated load of a device is 100 units of force (or other load measurement unit), then 100% of the rated load is 100 units of force. The preset operating time can also be determined based on the characteristics of the manufacturing equipment and production experience. This time may need to be determined through preliminary testing or reference to operating data of similar equipment.

[0033] For example, multiple manufacturing equipment are each simulated and predicted at full load at 100% of their rated load for a preset duration. During this period, data is collected on the servo current values and the coolant temperature rise rate of change to obtain multiple pieces of first prediction information. Multiple manufacturing equipment are associated with multiple pieces of second prediction information. The servo current data can be collected by connecting a current sensor to the servo motor circuit of the manufacturing equipment. The current sensor monitors the current flowing through the servo motor in real time, converts the current signal into an electrical signal (or digital signal), and then records the servo current value at regular intervals (e.g., once per second). This allows the servo current to be measured over the entire preset duration to obtain the servo current value. The coolant temperature rise rate of change data can be collected by installing temperature sensors at appropriate locations in the coolant circulation system (e.g., at the coolant inlet and outlet). The initial temperature of the coolant flowing into the equipment and the temperature of the coolant flowing out of the equipment are measured. The temperature difference between the two temperatures is calculated, combined with the coolant flow rate and the time interval, to obtain the coolant temperature rise rate of change. For example, the coolant inlet and outlet temperatures are recorded every 5 minutes, and the temperature rise rate is calculated based on the flow rate and time difference to obtain the coolant temperature rise rate.

[0034] S113, calculating the wear rate based on the plurality of first prediction information and the plurality of second prediction information to obtain a plurality of first verification information.

[0035] For example, since different parameters have different dimensions (for example, the temperature unit is Celsius, the vibration acceleration unit is m / s², etc.), in order to unify the calculation, the data is normalized. Taking the temperature value as an example, assuming that the collected temperature range is 30-80 degrees Celsius, the formula (where X is the original temperature value, =30, =80, convert it to a value between 0 and 1. The same normalization operation is also performed on the vibration acceleration value, servo current value, coolant temperature rise rate, etc., which will not be repeated here. Further, the wear rate calculation model is constructed, assuming They are the weights of the temperature value during the running-in period, the vibration acceleration value, the servo current value during the full-load period, and the coolant temperature rise rate. are the corresponding parameter values after normalization, then the calculation formula of wear rate R is: ; Then obtain the first verification information.

[0036] This setting can accurately grasp the wear of equipment components, which is more accurate than a single indicator assessment. It can determine the wear status of equipment in advance and discover potential faults in time, laying the foundation for subsequent work or analysis.

[0037] S120, performing no-load verification on a plurality of manufacturing devices to obtain a plurality of second verification information; wherein the second verification information is used to indicate a spindle radial runout value and a servo system response time of the manufacturing devices.

[0038] It can be understood that no-load operation means operation under no load. The spindle radial runout value of manufacturing equipment can be determined by using a vibration analyzer to measure the vibration signal during spindle rotation. Spectral analysis of the vibration signal identifies the vibration components associated with spindle radial runout based on frequency content and amplitude, and then assesses the radial runout magnitude to obtain the spindle radial runout value of the manufacturing equipment. The servo system response time can be determined by inputting a pulse signal into the servo system and simultaneously using a high-precision timer to record the time interval from a change in the input signal to a corresponding change in the output (e.g., motor rotation or position change). Multiple inputs of pulse signals with different types and parameters (e.g., different frequencies and amplitudes) are used, and the response time data is repeatedly measured and recorded to obtain the servo system response time of the manufacturing equipment.

[0039] S130 , based on the plurality of first verification information and the plurality of second verification information, determining a usable manufacturing device from the plurality of manufacturing devices, and sending a self-test instruction to the usable manufacturing device.

[0040] Exemplarily, based on the wear degree values of components in the manufacturing equipment reflected by multiple first verification information and the spindle radial runout values and servo system response time of the manufacturing equipment indicated by multiple second verification information, a usable manufacturing equipment is determined from multiple manufacturing equipment (at least one manufacturing equipment is determined from multiple manufacturing equipment), and a self-test instruction is sent to the determined usable manufacturing equipment.

[0041] S200, receiving self-test information and obtaining copper wire information; wherein the self-test information is used to indicate the test status obtained by the available manufacturing equipment through self-test, and the copper wire information is used to indicate the dimensional accuracy requirements of the copper wire and the total length of the copper wire to be manufactured.

[0042] For example, after receiving the self-test information, the control device obtains the copper wire dimensional accuracy requirements and the total length of the copper wire to be manufactured, as indicated by the copper wire information. The copper wire information can be obtained through sensors built into the equipment, a data interface integrated with the control system, or manually input.

[0043] S300 , performing node analysis based on the self-test information and the copper wire information to obtain node control information; wherein the node control information is used to indicate multiple detection nodes in the copper wire manufacturing stage.

[0044] Exemplarily, manufacturing node analysis is performed based on the detection status obtained by self-detection indicated by the self-detection information and the dimensional accuracy requirements of the copper wire indicated by the copper wire information and the total length of the copper wire to be manufactured to obtain the node control information.

[0045] In one possible implementation, see Figure 3 , S300, performs node analysis based on self-test information and copper wire information to obtain node control information, including: S310 , obtaining historical data of usable manufacturing equipment according to the self-test information; wherein the historical data is used to indicate historical thermal expansion cumulative effect values and historical wear cumulative effect values of the usable manufacturing equipment.

[0046] For example, obtaining historical data for usable manufacturing equipment based on self-test information can be accomplished by matching equipment identifiers and then performing time series correlation to obtain the historical thermal expansion cumulative effect values and historical wear cumulative effect values for the manufacturing equipment. Matching equipment identifiers can be performed using the equipment's unique identifier (e.g., the equipment number) as the correlation basis. Based on the test status obtained from the self-test indicated by the self-test information, the corresponding equipment record is found in the database based on the equipment number contained in the self-test information. For example, if the self-test information indicates the equipment number is "001," the record associated with the equipment number "001" is retrieved from the "Equipment Information Table" in the database. After locating the manufacturing equipment, historical data prior to the corresponding time point is searched in historical data storage tables (e.g., the "Thermal Expansion Data Table" and the "Wear Data Table") based on the timestamp. Because the historical thermal expansion cumulative effect values and the historical wear cumulative effect values accumulate over time, time correlation can be used to obtain the equipment's cumulative effect values prior to the current self-test. For example, if the self-test time is 10:00 on February 21, XXXX, the cumulative effect value of thermal expansion and the cumulative effect value of historical wear before 10:00 on February 21, XXXX are searched in the "Thermal Expansion Data Table".

[0047] S320 , performing calculation based on the historical thermal expansion cumulative effect value and the historical wear cumulative effect value indicated by the historical data to obtain the cumulative effect value of the usable manufacturing equipment.

[0048] For example, the cumulative effect value can be calculated by taking a weighted average of the historical thermal expansion cumulative effect value and the historical wear cumulative effect value. Because thermal expansion and wear have different impacts on equipment performance, different weights can be set for each. The weight values can be determined based on actual production, such as 50% and 50%, 40% and 60%, or 60% and 40%, etc., but are not limited to these. Specifically, the calculation formula for the cumulative effect value E is: , where α is the weight of the historical thermal expansion cumulative effect value, H is the historical thermal expansion cumulative effect value, β is the weight of the historical wear cumulative effect value, and W is the historical wear cumulative effect value. By calculating the cumulative effect value, we can obtain the thermal expansion and wear of manufacturing equipment during use.

[0049] S330 , performing node analysis based on the total length of the copper wire to be manufactured and the cumulative effect value of the available manufacturing equipment indicated by the copper wire information to obtain node control information.

[0050] Exemplarily, the node control information is determined according to the total length of the copper wire to be manufactured indicated by the copper wire information and the cumulative effect value of the available manufacturing equipment.

[0051] With this setting, historical thermal expansion and wear data can be obtained through self-inspection information and the cumulative effect value can be calculated. This can comprehensively and accurately grasp the equipment status, which is more reliable than a single indicator evaluation. Node analysis is performed based on the total length of copper wire to be manufactured and the cumulative effect value of the equipment. Targeted detection nodes can be set to prevent copper wire dimensional accuracy problems caused by poor equipment status in advance, reduce production interruption time, and improve production economy.

[0052] In one possible implementation, see Figure 4 S330 performs node analysis based on the total length of copper wire to be manufactured and the cumulative effect value of available manufacturing equipment indicated by the copper wire information to obtain node control information, including: S331, obtain X length segments according to the size of the cumulative effect value of the available manufacturing equipment; wherein the length segment is the copper wire segment to be manufactured obtained by segmenting the total length of the copper wire to be manufactured indicated by the copper wire information according to the size of the cumulative effect value, one length segment is a copper wire segment to be manufactured, the total length of the X length segments is the total length of the copper wire to be manufactured, there are multiple X length segments, and each length segment has a starting point and an ending point; the length of the X length segments is greater than the length of the X+1 length segments, the length of the X+1 length segments is greater than the length of the X+1 length segments, and so on until the length of the X+n length segments is greater than the length of the X+n+1 length segments.

[0053] For example, consider the total length of copper wire to be manufactured as a whole. Starting from the section with the largest cumulative effect value, divide the first length segment (i.e., the first copper wire segment) according to the rules, and determine its starting and ending points. Then, for the remaining copper wire length, continue dividing the next length segment based on the cumulative effect value, again determining its starting and ending points. Repeat this process until X length segments are created, with each length satisfying the requirement that the length of X length segments is greater than the length of X+1 length segments, the length of X+1 length segments is greater than the length of X+2 length segments, and so on, until the length of X+n length segments is greater than the length of X+n+1 length segments. This method of division is used because the larger the cumulative effect value, the better the dimensional accuracy of the copper wire. For example, if the total length of copper wire to be manufactured is 100 meters, and the cumulative effect value of one device is calculated to be 0.6, then the cumulative effect value of the device is 0.6. Start by dividing the area based on the cumulative effect value. In the area with the largest cumulative effect value, create a first segment of 5 meters (starting at 0 meters and ending at 5 meters). Then, in the remaining 95 meters, create the next segment based on the cumulative effect value, for example, a 4-meter segment (starting at 5 meters and ending at 9 meters). Continue this process until you create multiple segments, such as 5 meters, 4 meters, 3 meters, and so on. The total length of these segments is 100 meters, and the lengths decrease in descending order.

[0054] S332 , extract segment points based on the X length segments to obtain the starting point of the first segment and the ending point of the last segment in the X length segments.

[0055] It can be understood that the information related to the X length segments has been obtained. Each length segment has its corresponding starting point and ending point coordinates (the coordinates here can be understood as position marks on the total length of the copper wire to be manufactured). These coordinate information is determined when the length segments are divided according to the cumulative effect value.

[0056] For example, since the length segments are divided sequentially, the first length segment in the sequence is the head segment. The coordinate value of the starting point corresponding to the first length segment is directly found from the recorded information of the X length segments. This value is the starting point of the head segment among the X length segments. Then, the last length segment among the X length segments is the tail segment. The coordinate value of the ending point of the last length segment is obtained from the recorded information of the length segments. This coordinate value is the ending point of the tail segment among the X length segments.

[0057] For example, if the starting point of the first length segment is marked as 0 meters from the starting point of copper wire manufacturing, and the length of the length segment is 10 meters, then 0 meters is the extracted starting point of the first segment, and 10 meters is the end point of the first length segment; if the starting point of the second length segment is marked as 10 meters from the starting point of copper wire manufacturing, and the length is 20 meters, then 30 meters is the end point of the second length segment.

[0058] S333: Obtain n coincidence points according to the starting point of the first segment and the ending point of the last segment in the X length segments; wherein n is a positive integer, and the number of n is X-1.

[0059] For example, citing the example of step S332 above, the starting point of the first length segment is marked as 0 meters from the starting point of copper wire manufacturing, and the length of the length segment is 10 meters, then 0 meters is the extracted starting point of the first segment, and 10 meters is the end point of the first length segment; if the starting point of the second length segment is marked as 10 meters from the starting point of copper wire manufacturing, and the length is 20 meters, then 30 meters is the end point of the second length segment, then 10 meters is the seventieth point of the first segment and the end point of the second segment, then 10 meters is the overlapping point.

[0060] S334: Determine the n overlapping points as node control information.

[0061] Exemplarily, n coincidence points are determined as a plurality of detection nodes in the copper wire manufacturing stage, ie, node control information.

[0062] With this setting, the cumulative effect value of the manufacturing equipment is segmented and the key coincidence points are determined as detection nodes. This can accurately detect the dimensional accuracy at the key positions of copper wire manufacturing, and timely discover and correct deviations. This can reduce the situation where different manufacturing equipment is uncontrollable and the detection is delayed due to the state of the manufacturing equipment. In one possible implementation, after determining the n coincident points as node control information, S334 includes: S33401: When it is detected that the available manufacturing equipment has completed the manufacturing of the first segment among the X length segments and is at the end point of the last segment among the X length segments, the manufacturing information of the first segment among the X length segments is obtained; wherein the manufacturing information is used to indicate the dimensional accuracy of the first segment among the X length segments.

[0063] For example, after the manufacturing equipment completes the manufacturing of the first segment among X (the 5th, 10th, or 3rd, etc.) length segments and is at the end point of the tail segment (i.e., about to enter the manufacturing of the next length segment), the dimensional accuracy of the first segment among the Xth length segment is inspected.

[0064] S33402. Compare the dimensional accuracy of the first segment among the X length segments indicated by the manufacturing information with the dimensional accuracy requirement of the copper wire indicated by the copper wire information to obtain comparison information; wherein the comparison information is used to indicate whether the dimensional accuracy of the first segment among the X length segments indicated by the manufacturing information meets the dimensional accuracy requirement of the copper wire indicated by the copper wire information.

[0065] It can be understood that comparing the dimensional accuracy of the first segment among the X length segments indicated by the manufacturing information with the dimensional accuracy requirement of the copper wire indicated by the copper wire information can be a comparison of the dimensional accuracy of the manufactured copper wire or a comparison of the accuracy.

[0066] For example, the measured values of each parameter of the first section's dimensional accuracy are compared one by one with the corresponding accuracy requirements in the copper wire information. For example, the actual diameter measurement of the first section of copper wire is compared with the specified diameter standard value and allowable deviation range to determine whether it is within the tolerance range. Based on the comparison results of each parameter, a comprehensive judgment is made. If all parameter measurements are within the corresponding accuracy tolerance range, the first section's dimensional accuracy is considered to meet the requirements. If any parameter is outside the tolerance range, the requirements are determined to be unsatisfactory.

[0067] S33403: If the dimensional accuracy of the first segment among the X length segments indicated by the manufacturing information does not meet the dimensional accuracy requirement of the copper wire indicated by the copper wire information, adjust the dimensional accuracy parameter value of the available manufacturing equipment.

[0068] For example, if the dimensional accuracy of the first of X length segments does not meet the dimensional accuracy requirements of the copper wire indicated by the copper wire information, equipment inspection is performed, followed by determining the direction of adjustment and finally adjusting the dimensional accuracy parameters of the manufacturing equipment. Equipment inspection can include equipment parameter inspection, equipment status assessment, and process troubleshooting. Equipment parameter inspection can include reviewing the current dimensional accuracy-related parameters of the manufacturing equipment, such as the drawing die aperture, rolling roller spacing, and annealing temperature. The parameter settings are compared with those used when the equipment is normally producing products that meet the accuracy requirements to determine whether any parameter settings are incorrect or deviate from the normal range. For example, an overly large drawing die aperture may cause the copper wire diameter to exceed the accuracy requirements. Equipment status assessment can be performed by combining previously acquired self-test information and historical data to assess the current operating status of the equipment. Equipment components are checked for wear, looseness, and other issues that may affect dimensional accuracy. For example, wear of transmission components may cause vibration during operation, affecting the straightness and diameter uniformity of the copper wire. Process troubleshooting can analyze whether improper process operations, such as excessive drawing speeds or insufficient annealing time, may adversely affect dimensional accuracy. The direction of adjustment can be determined by adjusting based on the deviation type and referring to historical experience and data.

[0069] In one possible implementation, the method further includes: If the dimensional accuracy of the first segment among the X length segments indicated by the manufacturing information meets the dimensional accuracy requirement of the copper wire indicated by the copper wire information, a dimensional accuracy prediction is performed on the available manufacturing equipment to obtain prediction result information; wherein the prediction result information is used to indicate that there is a problem with the dimensional accuracy of the available manufacturing equipment at the position of the Mth length segment.

[0070] For example, if the dimensional accuracy of the first segment among the X length segments meets the dimensional accuracy requirement of the copper wire indicated by the copper wire information, a dimensional accuracy prediction is performed on the available manufacturing equipment, and it is predicted that the dimensional accuracy of the copper wire produced by the available manufacturing equipment at the position of the Mth length segment will have problems due to equipment reasons.

[0071] With this setup, by predicting the dimensional accuracy of the equipment in subsequent production, potential accuracy issues can be discovered in a timely manner, allowing measures to be taken in advance to avoid production quality problems caused by deteriorating equipment conditions. The prediction results can be obtained through a comprehensive analysis of the equipment's cumulative effect value, historical data, and current production status. For example, a machine learning model can be used to input information such as the equipment's cumulative effect value, historical data, and current production parameters, and output predictions of possible dimensional accuracy issues for each length segment of the equipment in subsequent production. Equipment maintenance, parameter adjustments, or process optimization can be performed in advance for length segments that may have problems based on the predicted results, thereby ensuring that the dimensional accuracy of the copper wire meets requirements and improving product quality and production efficiency.

[0072] S400: Control the dimensional accuracy of the copper wire based on the node control information.

[0073] Exemplarily, the dimensional accuracy of the copper wire is controlled according to a plurality of detection nodes in the copper wire manufacturing stage indicated by the node control information.

[0074] In summary, this solution realizes comprehensive monitoring of the manufacturing process, controls the dimensional accuracy of the copper wire based on the node control information, and avoids the uncontrollable state of the manufacturing equipment and the detection lag as much as possible. It helps to improve the dimensional accuracy of the copper wire and reduce the rework rate and delivery cost. It can reduce the inconsistency of the dimensional accuracy of the copper wires in the same batch, and can also meet the requirements of the dimensional accuracy of the copper wire and reduce the rework rate, thereby improving the delivery efficiency of the copper wire.

[0075] In one possible implementation, S400, controlling the dimensional accuracy of the copper wire based on the node control information, includes: S410, when the available manufacturing equipment completes the production of the copper wire at the M-1th length segment position, obtain the dimensional accuracy information of the copper wire at the M-1th length segment position; wherein the dimensional accuracy information of the copper wire at the M-1th length segment position is used to reflect the dimensional accuracy of the copper wire at the M-1th length segment position.

[0076] For example, when the manufacturing equipment completes manufacturing the copper wire at the M-1th length segment (i.e., is about to enter the manufacturing of the next length segment), it detects whether the dimensional accuracy of the copper wire at the M-1th length segment meets the requirements.

[0077] S420: If the dimensional accuracy of the copper wire at the M-1th length segment does not meet the dimensional accuracy requirement of the copper wire indicated by the copper wire information, obtain first processing information; wherein the processing information is used to indicate that the prediction is correct and to adjust the dimensional accuracy parameters of the available manufacturing equipment.

[0078] For example, the dimensional accuracy of the copper wire at the M-1th length segment does not meet the dimensional accuracy requirements of the copper wire indicated by the copper wire information, which proves that the prediction result that the copper wire manufactured by the manufacturing equipment at the M-1th length segment does have an accuracy problem is correct, and the dimensional accuracy parameters of the available manufacturing equipment are adjusted.

[0079] In one possible implementation, the method further includes: S420A, if the dimensional accuracy of the copper wire at the M-1th length segment position meets the dimensional accuracy requirement of the copper wire indicated by the copper wire information, obtain second processing information; wherein the processing information is used to indicate a prediction error and the dimensional accuracy of the copper wire meets the requirement.

[0080] Exemplarily, the dimensional accuracy of the copper wire at the position of the M-1th length segment is compared with the dimensional accuracy requirement of the copper wire indicated by the copper wire information. The dimensional accuracy of the copper wire at the position of the M-1th length segment meets the dimensional accuracy requirement of the copper wire indicated by the copper wire information, which proves that the dimensional accuracy of the copper wire meets the requirements and proves that the prediction is wrong; if the prediction is proved to be wrong, the prediction is made again based on the current status of the manufacturing equipment.

[0081] S420B, sending the second processing information to the available manufacturing equipment, and receiving the fault information sent by the available manufacturing equipment; wherein the fault information is used to indicate the fault cause and fault location of the available manufacturing equipment.

[0082] Exemplarily, receiving fault information sent by usable manufacturing equipment can be achieved by setting a monitoring program in the control device to continuously monitor the information sent by the manufacturing equipment. Similarly, according to the communication protocol, configure the monitoring port, data receiving format and other parameters. For example, when using the Modbus protocol, set the slave device address and wait for the fault information data packet actively sent by the receiving device. After receiving the data packet sent by the manufacturing equipment, parse the data packet according to the communication protocol. Extract information such as the cause of the fault and the location of the fault. For example, parse the function code, data bit and other contents in the Modbus data packet to determine whether it is fault information, and extract the fault-related content and store it in the specified variable for easy subsequent viewing and processing, thereby obtaining the cause of the fault and the location of the fault of the usable manufacturing equipment.

[0083] S420C: Determine a reminder instruction based on the fault information; wherein the reminder instruction is to remind the technician to repair the usable manufacturing equipment.

[0084] It is understood that a reminder instruction is an instruction to remind technicians to repair the available manufacturing equipment. The reminder instruction may include information such as the fault location, cause, and time of occurrence, allowing technicians to quickly locate and resolve the problem. The reminder instruction can be sent to technicians via various means, such as text message, email, and instant messaging. After receiving the reminder instruction, the technician will use the fault information provided, such as the fault location and cause, to determine the cause of the fault.

[0085] This setup enables online control of copper wire dimensional accuracy, helping to promptly detect and correct deviations in the manufacturing process, improving the wire's dimensional accuracy to meet requirements. Furthermore, by predicting the equipment's dimensional accuracy performance in subsequent production runs, proactive measures can be taken to avoid potential production quality issues, thereby improving product quality and production efficiency.

[0086] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0087] Corresponding to the copper wire dimensional accuracy online control method described in the above embodiment, the embodiment of the present application also provides a copper wire dimensional accuracy online control system, and each unit of the system can implement each step of the copper wire dimensional accuracy online control method. Figure 5 A structural block diagram of an online control system for copper wire size accuracy provided in an embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown.

[0088] Reference Figure 5 , the copper wire size accuracy online control system includes: a determination and sending unit, configured to determine available manufacturing equipment and send a self-test instruction to the available manufacturing equipment; wherein the self-test instruction is an instruction for the available manufacturing equipment to perform self-test; A receiving and obtaining unit, configured to receive self-test information and obtain copper wire information; wherein the self-test information is used to indicate the test status obtained by the available manufacturing equipment through self-test, and the copper wire information is used to indicate the dimensional accuracy requirements of the copper wire and the total length of the copper wire to be manufactured; An analysis unit, configured to perform node analysis based on self-test information and copper wire information to obtain node control information; wherein the node control information is used to indicate multiple detection nodes in the copper wire manufacturing stage; The control unit is used to control the dimensional accuracy of the copper wire based on the node control information.

[0089] It should be noted that the information interaction, execution process, etc. between the above-mentioned systems / units are based on the same concept as the method embodiment of this application. Their specific functions and technical effects can be found in the method embodiment section and will not be repeated here.

[0090] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0091] The embodiment of the present application also provides an online control device for copper wire dimensional accuracy, Figure 6 This is a schematic diagram of the structure of a control device provided in one embodiment of the present application. Figure 6 As shown, the control device 6 of this embodiment includes: at least one processor 60 ( Figure 6 Only one is shown), at least one memory 61 ( Figure 6 Only one is shown in the figure) and a computer program 62 stored in the at least one memory 61 and executable on the at least one processor 60. When the processor 60 executes the computer program 62, the control device 6 implements the steps of any of the above-mentioned embodiments of the method for online control of copper wire dimensional accuracy, or implements the functions of the modules / units in the above-mentioned system embodiments.

[0092] For example, the computer program 62 may be divided into one or more modules / units, which are stored in the memory 61 and executed by the processor 60 to implement the present application. The one or more modules / units may be a series of computer program instruction segments capable of implementing specific functions, and the instruction segments are used to describe the execution process of the computer program 62 in the control device 6.

[0093] The control device 6 can be a computing device such as a desktop computer or a notebook. The control device can include, but is not limited to, a processor 60 and a memory 61. It will be understood by those skilled in the art that Figure 6This is merely an example of the control device 6 and does not constitute a limitation on the control device 6 . The control device 6 may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, it may also include input and output devices, network access devices, buses, etc.

[0094] The processor 60 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0095] In some embodiments, the memory 61 may be an internal storage unit of the control device 6, such as a hard drive or memory of the control device 6. In other embodiments, the memory 61 may also be an external storage device of the control device 6, such as a plug-in hard drive, a Smart Media Card (SMC), a Secure Digital (SD) card, a flash memory card, etc. equipped on the control device 6. Furthermore, the memory 61 may include both the internal storage unit of the control device 6 and an external storage device. The memory 61 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 61 may also be used to temporarily store data that has been output or is about to be output.

[0096] An embodiment of the present application further provides a computer-readable storage medium, wherein 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.

[0097] An embodiment of the present application provides a computer program product. When the computer program product is run on a copper wire dimensional accuracy online control device, the copper wire dimensional accuracy online control device implements the steps of any of the above method embodiments.

[0098] If the integrated unit is implemented as a software functional unit and sold or used as a standalone product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the process steps in the above-mentioned method embodiments by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When executed by a processor, the computer program can implement the steps of each of the above-mentioned method embodiments. The computer program includes computer program code, which can be in source code form, object code form, executable file, or some intermediate form. The computer-readable medium can at least include: any entity or device capable of carrying the computer program code to the copper wire dimensional accuracy online control device, recording medium, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium. Examples include a USB flash drive, a mobile hard drive, a magnetic disk, or an optical disk.

[0099] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0100] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0101] In the embodiments provided in the present application, it should be understood that the disclosed copper wire dimensional accuracy online control system, equipment and method can be implemented in other ways. For example, the copper wire dimensional accuracy online control system and equipment embodiments described above are merely schematic. For example, the division of the modules or units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through an indirect coupling or communication connection of an interface, device or unit, which can be electrical, mechanical or other forms.

[0102] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0103] 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 aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present application, and should all be included in the scope of protection of the present application.

Claims

1. A method for online control of copper wire dimensional accuracy, characterized in that: include: Determining available manufacturing equipment and sending a self-test instruction to the available manufacturing equipment; wherein the self-test instruction is an instruction for the available manufacturing equipment to perform self-test; Receive self-test information and obtain copper wire information; wherein the self-test information is used to indicate the detection status obtained by the available manufacturing equipment through self-test, and the copper wire information is used to indicate the dimensional accuracy requirements of the copper wire and the total length of the copper wire to be manufactured; Performing node analysis based on the self-test information and the copper wire information to obtain node control information; wherein the node control information is used to indicate multiple detection nodes in the copper wire manufacturing stage; The dimensional accuracy of the copper wire is controlled based on the node control information.

2. The method for online control of copper wire dimensional accuracy according to claim 1, wherein: The determining of available manufacturing equipment and sending a self-test instruction to the available manufacturing equipment includes: Performing reliability operation verification on the plurality of manufacturing equipment to obtain a plurality of first verification information; wherein the first verification information is used to reflect the wear of components in the manufacturing equipment; Performing no-load verification on a plurality of the manufacturing devices to obtain a plurality of second verification information; wherein the second verification information is used to indicate a spindle radial runout value and a servo system response time of the manufacturing device; Based on the plurality of first verification information and the plurality of second verification information, the usable manufacturing equipment is determined from the plurality of manufacturing equipment, and a self-check instruction is sent to the usable manufacturing equipment.

3. The method for online control of copper wire dimensional accuracy according to claim 2, wherein: The reliability operation verification of the plurality of manufacturing equipment is performed to obtain a plurality of first verification information, including: Performing a simulation prediction of the running-in period for the plurality of manufacturing equipment according to a first condition to obtain a plurality of first prediction information; wherein the first prediction information is used to indicate a temperature value and a vibration acceleration value during the running-in period, and the first condition is operating at 80% of the rated load for a preset time; Performing a simulation prediction of a full-load period for the plurality of manufacturing devices according to a second condition to obtain a plurality of second prediction information; wherein the second prediction information is used to indicate a servo current value and a coolant temperature rise rate during the full-load period, and the second condition is operating the plurality of manufacturing devices at 100% of the rated load for the preset time period; Wear rate calculation is performed based on the plurality of first prediction information and the plurality of second prediction information to obtain the plurality of first verification information.

4. The method for online control of copper wire dimensional accuracy according to claim 1, wherein: The performing node analysis based on the self-test information and the copper wire information to obtain node control information includes: Obtaining historical data of the usable manufacturing equipment according to the self-test information; wherein the historical data is used to indicate historical thermal expansion cumulative effect values and historical wear cumulative effect values of the usable manufacturing equipment; Calculating based on the historical thermal expansion cumulative effect value and the historical wear cumulative effect value indicated by the historical data to obtain the cumulative effect value of the usable manufacturing equipment; Node analysis is performed based on the total length of the copper wire to be manufactured indicated by the copper wire information and the cumulative effect value of the available manufacturing equipment to obtain node control information.

5. The method for online control of copper wire dimensional accuracy according to claim 4, characterized in that: The performing of node analysis based on the total length of the copper wire to be manufactured indicated by the copper wire information and the cumulative effect value of the available manufacturing equipment to obtain node control information includes: X length segments are obtained based on the cumulative effect values of the available manufacturing equipment; wherein the length segments are segments of copper wire to be manufactured obtained by segmenting the total length of the copper wire to be manufactured indicated by the copper wire information according to the cumulative effect values, one length segment is a segment of copper wire to be manufactured, the total length of the X length segments is the total length of the copper wire to be manufactured, there are multiple X length segments, and each length segment has a starting point and an ending point; the length of the X length segments is greater than the length of the X+1 length segments, the length of the X+1 length segments is greater than the length of the X+1 length segments, and so on until the length of the X+n length segments is greater than the length of the X+n+1 length segments; Extracting segment points based on the X length segments to obtain the starting point of the first segment and the ending point of the last segment in the X length segments; Obtain n coincidence points according to the starting point of the first segment and the ending point of the last segment in the X length segments; wherein n is a positive integer, and the number of n is X-1; The n coincident points are determined as the node control information.

6. The method for online control of copper wire dimensional accuracy according to claim 5, characterized in that: After determining the n coincident points as the node control information, the method includes: Upon detecting that the available manufacturing equipment has completed manufacturing of a first segment among the X length segments and is at the end point of the last segment among the X length segments, obtaining manufacturing information of the first segment among the X length segments; wherein the manufacturing information is used to indicate dimensional accuracy of the first segment among the X length segments; Comparing the dimensional accuracy of the first segment of the X length segments indicated by the manufacturing information with the dimensional accuracy requirement of the copper wire indicated by the copper wire information to obtain comparison information; wherein the comparison information is used to indicate whether the dimensional accuracy of the first segment of the X length segments indicated by the manufacturing information meets the dimensional accuracy requirement of the copper wire indicated by the copper wire information; If the dimensional accuracy of the first segment of the X length segments indicated by the manufacturing information does not meet the dimensional accuracy requirement of the copper wire indicated by the copper wire information, the dimensional accuracy parameter value of the available manufacturing equipment is adjusted.

7. The method for online control of copper wire dimensional accuracy according to claim 6, wherein: The method further comprises: If the dimensional accuracy of the first segment of the X length segments indicated by the manufacturing information meets the dimensional accuracy requirement of the copper wire indicated by the copper wire information, a dimensional accuracy prediction is performed on the available manufacturing equipment to obtain prediction result information; wherein the prediction result information is used to indicate that there is a problem with the dimensional accuracy of the available manufacturing equipment at the position of the Mth length segment.

8. The method for online control of copper wire dimensional accuracy according to claim 7, wherein: The controlling the dimensional accuracy of the copper wire based on the node control information includes: When the available manufacturing equipment completes the production of the copper wire at the M-1th length segment, obtaining dimensional accuracy information of the copper wire at the M-1th length segment; wherein the dimensional accuracy information of the copper wire at the M-1th length segment is used to reflect the dimensional accuracy of the copper wire at the M-1th length segment; If the dimensional accuracy of the copper wire at the M-1th length segment does not meet the dimensional accuracy requirement of the copper wire indicated by the copper wire information, first processing information is obtained; wherein, the processing information is used to indicate that the prediction is correct and to adjust the dimensional accuracy parameters of the available manufacturing equipment.

9. The method for online control of copper wire dimensional accuracy according to claim 8, characterized in that: The method further comprises: If the dimensional accuracy of the copper wire at the position of the M-1th length segment meets the dimensional accuracy requirement of the copper wire indicated by the copper wire information, obtaining second processing information; wherein the processing information is used to indicate that the prediction error is met and the dimensional accuracy of the copper wire meets the requirement; Sending the second processing information to the available manufacturing equipment, and receiving fault information sent by the available manufacturing equipment; wherein the fault information is used to indicate the cause and location of the fault of the available manufacturing equipment; A reminder instruction is determined according to the fault information; wherein the reminder instruction is to remind a technician to repair the usable manufacturing equipment.

10. A copper wire dimensional accuracy online control system, characterized in that: include: a determination and sending unit, configured to determine available manufacturing equipment and send a self-test instruction to the available manufacturing equipment; wherein the self-test instruction is an instruction for the available manufacturing equipment to perform self-test; A receiving and obtaining unit, configured to receive self-test information and obtain copper wire information; wherein the self-test information is used to indicate a test status obtained by the usable manufacturing equipment through self-testing, and the copper wire information is used to indicate the dimensional accuracy requirements of the copper wire and the total length of the copper wire to be manufactured; An analysis unit, configured to perform node analysis based on the self-test information and the copper wire information to obtain node control information; wherein the node control information is used to indicate a plurality of detection nodes in the copper wire manufacturing stage; A control unit is used to control the dimensional accuracy of the copper wire based on the node control information.

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