Copper wire guiding method and copper wire guiding device

Abstract

The invention is suitable for the technical field of wires, and particularly relates to a copper wire guiding method and a copper wire guiding device, and the method comprises the steps: receiving the first wire information of a copper wire in a wire in real time; acquiring historical lead information corresponding to the first identification information; updating a copper wire behavior map corresponding to the first identification information based on the first wire information; obtaining target adaptive parameters according to the historical wire information and the updated copper wire behavior map; obtaining a first adaptation parameter based on the target adaptation parameter and the wire parameter; and controlling the copper wire according to the first adaptation parameter. Therefore, according to the copper wire guiding method provided by the embodiment of the invention, the problem that the parameters of different positions are difficult to coordinate and optimize in the copper wire guiding process can be solved.

Description

Technical Field

[0001] This application belongs to the technical field of wires, and particularly relates to a copper wire guiding method and a copper wire guiding device. Background Art

[0002] The copper wire guiding method is a commonly used technology in projects such as power or communication, mainly used for the laying of long-distance copper wires. The copper wire is pulled from a reel or storage position to a designated position by a traction device, ensuring that the copper wire is not damaged during the laying process and reaches the designated position correctly.

[0003] In the prior art, due to the long length of the copper wire, during the process of long-distance traction of the copper wire, the parameters at each position are indeed inconsistent. Due to the inconsistency of the parameters at each position and the mutual influence and restriction relationship between these parameters, it is difficult to achieve the coordination and optimization of the parameters. Therefore, currently, it is difficult to coordinate and optimize the parameters at different positions during the wire guiding process of the copper wire. Summary of the Invention

[0004] The embodiments of this application provide a copper wire guiding method and a copper wire guiding device, which can solve the problem that it is difficult to coordinate and optimize the parameters at different positions during the wire guiding process of the copper wire.

[0005] In a first aspect, the embodiments of this application provide a copper wire guiding method, including:

[0006] Receiving in real time the first wire guiding information of the copper wire in the wire guiding; wherein, the first wire guiding information includes the first identification information, the first associated identification, the wire guiding parameters and the feedback type of the copper wire, the first associated identification includes a parameter type code and a monitoring position identification, and the feedback type is normal, jammed, broken or deformed;

[0007] Obtaining the historical wire guiding information corresponding to the first identification information; wherein, the historical wire guiding information includes a plurality of historical parameters arranged in chronological order, the corresponding associated identification and the feedback type;

[0008] Updating the copper wire behavior map corresponding to the first identification information based on the first wire guiding information; wherein, the copper wire behavior map is used to reflect the changes in the shape and parameters of the copper wire at different monitoring positions;

[0009] Obtaining target adaptation parameters according to the historical wire guiding information and the updated copper wire behavior map; wherein, the target adaptation parameters are used to reflect the expected parameters of the copper wire at different monitoring positions after the current monitoring position;

[0010] Obtaining first adaptation parameters based on the target adaptation parameters and the wire guiding parameters;

[0011] Control the copper wire conductor according to the first adaptation parameter.

[0012] In the technical solution described above in the embodiments of the present application, at least the following technical effects are achieved:

[0013] The copper wire conductor method provided in the embodiments of the present application includes: receiving first conductor information of the copper wire in the conductor in real time; obtaining historical conductor information corresponding to the first identification information; updating the copper wire behavior map corresponding to the first identification information based on the first conductor information; obtaining a target adaptation parameter according to the historical conductor information and the updated copper wire behavior map; obtaining a first adaptation parameter based on the target adaptation parameter and the conductor parameter; and controlling the copper wire conductor according to the first adaptation parameter. Therefore, the copper wire conductor method provided in the embodiments of the present application realizes dynamic adjustment and real-time control of copper wire parameters by receiving the first conductor information in real time, combining historical conductor data and the copper wire behavior map. At the same time, according to the first adaptation parameter, the coordination and optimization of parameters at multiple monitoring positions are realized, which is beneficial to improving the overall performance and efficiency of copper wire conductors.

[0014] In a possible implementation manner of the first aspect, the copper wire behavior map includes a feedback adjacency matrix, a copper wire feature matrix, a time matrix, and a parameter matrix, and the parameter matrix includes parameters of the copper wire conductor at each monitoring position. The updating of the copper wire behavior map based on the first conductor information includes:

[0015] Determining a target point in the feedback adjacency matrix based on the first conductor information, where the feedback adjacency matrix is used to reflect whether abnormalities occur at each monitoring position of the copper wire in the conductor;

[0016] Updating the value of the target point according to the first conductor information.

[0017] In a possible implementation manner of the first aspect, the obtaining of the target adaptation parameter according to the historical conductor information and the updated copper wire behavior map includes:

[0018] Obtaining the parameter adjustment probability of each second associated identifier corresponding to the copper wire according to the historical conductor information and the updated copper wire behavior map, where the second associated identifier refers to other associated identifiers of the copper wire after the first associated identifier;

[0019] Determining the second associated identifier corresponding to the parameter adjustment probability greater than the probability threshold as the target associated identifier based on each parameter adjustment probability;

[0020] Determining the adaptation parameter associated with the target associated identifier as the target adaptation parameter, where the adaptation parameter refers to the historical parameter with a normal feedback type and the most recent time in the historical conductor information.

[0021] In a possible implementation of the first aspect, obtaining the parameter adjustment probabilities of the corresponding second association identifiers according to the historical wire information and the updated copper wire behavior atlas includes:

[0022] Determining the confidence levels of the second association identifiers based on the historical wire information;

[0023] When the confidence level is greater than the confidence level threshold, calculating the abnormal trigger intensity of each second association identifier according to the historical wire information and the updated copper wire behavior atlas; wherein, the abnormal trigger intensity is used to reflect the probability that the copper wire has an abnormality at other monitoring positions after the monitoring position of the first wire information;

[0024] Obtaining the parameter adjustment probabilities according to the confidence levels and the abnormal trigger intensities.

[0025] In a possible implementation of the first aspect, determining the confidence levels of the second association identifiers based on the historical wire information includes:

[0026] Calculating the confidence intervals of the historical parameters corresponding to the second association identifiers in the historical wire information within a preset time window;

[0027] Within the confidence interval, obtaining the confidence level according to the feedback types of the historical parameters corresponding to the second association identifiers.

[0028] In a possible implementation of the first aspect, calculating the abnormal trigger intensity of each second association identifier according to the historical wire information and the updated copper wire behavior atlas includes:

[0029] Calculating the historical abnormal probability of the copper wire at other monitoring positions after the current monitoring position according to the historical wire information;

[0030] Obtaining the historical abnormal information of the copper wire according to the updated copper wire behavior atlas; wherein, the historical abnormal information is used to reflect the monitoring positions and feedback types of the abnormalities that the copper wire has had;

[0031] Obtaining the abnormal trigger intensity according to the historical abnormal probability and the historical abnormal information.

[0032] In a possible implementation of the first aspect, obtaining the parameter adjustment probabilities of the corresponding second association identifiers according to the historical wire information and the updated copper wire behavior atlas further includes:

[0033] When the confidence level is not greater than the confidence level threshold, a first feedback matrix is obtained according to the updated copper wire behavior map; wherein, the first feedback matrix is used to reflect the probability of parameter adjustment required for the copper wire at different monitoring positions;

[0034] Perform a mapping process on the first feedback matrix to generate a second feedback matrix;

[0035] Obtain the parameter adjustment probability of each corresponding second association identifier according to the second feedback matrix.

[0036] In a possible implementation manner of the first aspect, the obtaining of the first feedback matrix according to the updated copper wire behavior map includes:

[0037] Obtain an abnormal feedback intensity according to the feedback adjacency matrix; wherein, the abnormal feedback intensity is used to reflect the probability of abnormality occurring at other monitoring positions after the current monitoring position of the copper wire;

[0038] Obtain the first feedback matrix according to the time matrix and the abnormal feedback intensity.

[0039] In a possible implementation manner of the first aspect, the obtaining of the first adaptation parameter based on the target adaptation parameter and the wire parameter includes:

[0040] Obtain an error according to the wire parameter and the target adaptation parameter;

[0041] Obtain a PID control term according to the error;

[0042] Obtain a dynamic adjustment value according to the time matrix;

[0043] Generate the first adaptation parameter according to the target adaptation parameter, the PID control term, and the dynamic adjustment value.

[0044] In a second aspect, an embodiment of the present application provides a copper wire device, including:

[0045] A receiving module, configured to receive first wire information of a copper wire in a wire in real time; wherein, the first wire information includes first identification information of the copper wire, a first association identifier, a wire parameter, and a feedback type, the first association identifier includes a parameter type code and a monitoring position identifier, and the feedback type is normal, jammed, broken, or deformed;

[0046] An obtaining module, configured to obtain historical wire information corresponding to the first identification information; wherein, the historical wire information includes a plurality of historical parameters arranged in chronological order, corresponding association identifiers, and the feedback type;

[0047] The behavior graph module is used to update the copper wire behavior graph corresponding to the first identification information based on the first wire information; wherein, the copper wire behavior graph is used to reflect the changes in the shape and parameters of the copper wire at different monitoring positions;

[0048] The target adaptation module is used to obtain target adaptation parameters according to the historical wire information and the updated copper wire behavior graph; wherein, the target adaptation parameters are used to reflect the expected parameters of the copper wire at different monitoring positions after the current monitoring position;

[0049] The first adaptation module is used to obtain first adaptation parameters based on the target adaptation parameters and the wire parameters;

[0050] The wire module is used to control the copper wire according to the first adaptation parameters.

[0051] In a third aspect, an embodiment of the present application provides a copper wire device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method described in any one of the above first aspects is implemented.

[0052] In a 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, the method described in any one of the above first aspects is implemented.

[0053] In a fifth aspect, an embodiment of the present application provides a computer program product. When the computer program product runs on the copper wire device, the copper wire device is enabled to execute the method described in any one of the above first aspects.

[0054] It can be understood that the beneficial effects of the above second to fifth aspects can refer to the relevant descriptions in the above first aspect and will not be elaborated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] 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 embodiments or the description of the prior art. Obviously, the following drawings are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0056] Figure 1 It is a schematic flowchart of a copper wire guiding method provided by an embodiment of the present application;

[0057] Figure 2It is a schematic flowchart showing the implementation processes of steps S300, S400, S410, S411, S412, and S401 in the copper wire guiding method provided by an embodiment of the present application;

[0058] Figure 3 It is a schematic flowchart showing the implementation process of step S500 in the copper wire guiding method provided by an embodiment of the present application;

[0059] Figure 4 It is a schematic structural diagram of the copper wire guiding device provided by an embodiment of the present application;

[0060] Figure 5 It is a schematic structural diagram of the copper wire guiding equipment provided by an embodiment of the present application. Detailed implementation manners

[0061] In the following description, for the purpose of illustration rather than limitation, specific details such as specific system architectures and technologies are presented to provide a thorough understanding of 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.

[0062] 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.

[0063] It should also be understood that the term "and / or" as 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 associated listed items, and includes these combinations.

[0064] As used in the specification of the present application and the appended claims, the term "if" can be interpreted as "when", "once", "in response to determining", or "in response to detecting" according to the context. Similarly, the phrase "if determined" or "if detecting [the described condition or event]" can be interpreted as meaning "once determined", "in response to determining", "once detecting [the described condition or event]", or "in response to detecting [the described condition or event]" according to the context.

[0065] 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 cannot be understood as indicating or implying relative importance.

[0066] Reference to "one embodiment" or "some embodiments" etc. described in the specification of this application means that in one or more embodiments of this application, specific features, structures or characteristics described in connection with that embodiment are included. Thus, statements such as "in one embodiment", "in some embodiments", "in other some embodiments", "in still other embodiments" etc. that appear in different places in this specification do not necessarily all refer to the same embodiment, but mean "one or more but not all of the embodiments", unless otherwise specifically emphasized in other ways. The terms "comprising", "including", "having" and their variants all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0067] In the related art, due to the long length of the copper wire, during the process of long-distance pulling the copper wire, the parameters at each position do indeed have inconsistent situations. Due to the inconsistency of the parameters at each position and the mutual influence and restriction relationships among these parameters, it is difficult to achieve the coordination and optimization of the parameters. Therefore, currently, there is a problem that it is difficult to coordinate and optimize the parameters at different positions during the wire guiding process of the copper wire.

[0068] To solve the above problems, the embodiments of this application provide a copper wire guiding method and a copper wire guiding device. In this method, by receiving the first wire guiding information of the copper wire in the wire guiding in real time; obtaining the historical wire guiding information corresponding to the first identification information; updating the copper wire behavior map corresponding to the first identification information based on the first wire guiding information; obtaining the target adaptation parameters according to the historical wire guiding information and the updated copper wire behavior map; obtaining the first adaptation parameters based on the target adaptation parameters and the wire guiding parameters; and controlling the copper wire guiding according to the first adaptation parameters. Therefore, the copper wire guiding method provided by the embodiments of this application realizes the dynamic adjustment and real-time control of the copper wire parameters by receiving the first wire guiding information in real time, combining the historical wire data and the copper wire behavior map. At the same time, according to the first adaptation parameters, the coordination and optimization of the parameters at multiple monitoring positions are realized, which is beneficial to improving the overall performance and efficiency of the copper wire guiding.

[0069] The copper wire guiding method provided by the embodiments of this application can be applied to copper wire guiding equipment. At this time, the copper wire guiding equipment is the execution subject of the copper wire guiding method provided by the embodiments of this application, and this application does not impose any restrictions on the specific type of the copper wire guiding equipment.

[0070] For example, a copper wire guiding device may include a control device and a traction device. The control device and the traction device are communicatively connected, and the control device is used to control the traction device. The traction device is used to traction the copper wire. For example, the traction device may be a wheeled traction device, a pneumatic or hydraulic traction device, etc., but not limited thereto. For example, the control device may be a single-chip microcomputer, a WeChat controller, a mobile phone, a tablet computer, a laptop computer, a desktop computer, a smart large screen, a smart TV, a handheld device with wireless communication function, a computing device, a computer, a laptop computer, a handheld communication device, a handheld computing device, etc., but not limited thereto.

[0071] To better understand the copper wire guiding method provided in the embodiments of the present application, the following provides an exemplary introduction to the specific implementation process of the copper wire guiding method provided in the embodiments of the present application.

[0072] Figure 1 FIG. shows a schematic flowchart of the copper wire guiding method provided in the embodiments of the present application. The copper wire guiding method includes:

[0073] S100, receiving first wire information of the copper wire in the wire in real time. Wherein, the first wire information includes first identification information of the copper wire, a first associated identification, wire parameters, and a feedback type. The first associated identification includes a parameter type code and a monitoring position identification, and the feedback type is normal, jammed, broken, or deformed.

[0074] It can be understood that the wire parameters include speed, tension, and pressure.

[0075] Exemplarily, various information of the copper wire in the wire can be captured in real time through a sensor or a monitoring system. For example, there is a copper wire with its first identification information being "CX-001". A sensor (such as a laser speed sensor, a piezoelectric tension sensor, and a piezoresistive pressure sensor, etc.) is installed at the monitoring position "P1" during the wire guiding process. The sensor monitors the speed (V), tension (T), and pressure (P) at this monitoring position in real time, and this monitoring position is in a normal state. Then, the received first wire information is: "Copper wire CX-001, at P1, V: 1m / s, T: 100N, P: 20Pa, normal wire".

[0076] S200, obtaining historical wire information corresponding to the first identification information. Wherein, the historical wire information includes a plurality of historical parameters arranged in chronological order, corresponding associated identifications, and feedback types.

[0077] It can be understood that the historical parameters include speed, tension, and pressure.

[0078] Exemplarily, the historical wire information matching the first identification information (such as, CX-001) can be obtained by querying a database or a historical record system.

[0079] S300. Update the copper wire behavior map corresponding to the first identification information based on the first wire information. The copper wire behavior map is used to reflect the changes in the shape and parameters of the copper wire at different monitoring positions.

[0080] It can be understood that the copper wire behavior map includes a feedback adjacency matrix, a copper wire feature matrix, a time matrix, and a parameter matrix.

[0081] Exemplarily, the target points in the feedback adjacency matrix can be determined according to the first wire information, and then the values of the target points are updated. At the same time, the copper wire feature matrix, the time matrix, and the parameter matrix are updated. For example, when a sensor (such as a laser speed sensor, a piezoelectric tension sensor, etc.) detects that the copper wire is jammed at a certain monitoring position (such as P1), the monitoring position will be marked as a target point in the feedback adjacency matrix, and the copper wire behavior map will be updated. The copper wire behavior map includes a feedback adjacency matrix: (a 11 …a 1n ), a copper wire feature matrix: The time matrix is (t 11 …t 1n ), and the parameter matrix: where a 1n is used to reflect whether an abnormality occurs at the nth monitoring position of the copper wire, and c in refers to the ith shape of the abnormality that occurs at the nth monitoring position of the copper wire (the shape of the copper wire can be obtained by a laser rangefinder and an opposed edge measurement sensor), t 1n refers to the time when the abnormality occurs at different monitoring positions of the copper wire, and f mn refers to the parameter value of the mth feedback parameter when the abnormality occurs at the nth monitoring position.

[0082] In a possible implementation, the copper wire behavior map includes a feedback adjacency matrix, a copper wire feature matrix, a time matrix, and a parameter matrix. The parameter matrix includes the parameters of the copper wire of each monitoring position; please refer to Figure 2 , S300. Updating the copper wire behavior map based on the first wire information includes:

[0083] S310. Determine the target points in the feedback adjacency matrix based on the first wire information. The feedback adjacency matrix is used to reflect whether abnormalities occur at each monitoring position of the copper wire in the wire.

[0084] Exemplarily, the corresponding target points can be found in the feedback adjacency matrix according to the monitoring position identifiers in the first wire information. For example, when a sensor (such as a laser speed sensor, a piezoelectric tension sensor, etc.) detects that the copper wire is jammed at a certain monitoring position, the corresponding position will be found in the feedback adjacency matrix according to the monitoring position identifier of the monitoring position, and it will be marked as a target point.

[0085] S320. Update the value of the target point according to the first wire information.

[0086] Exemplarily, the value of the target point in the feedback adjacency matrix can be updated according to the feedback type (such as jamming, wire breakage, and deformation, etc.) in the first wire information. For example, when the sensor detects that the copper wire is jammed at a certain position, the value at the corresponding position in the feedback adjacency matrix can be updated to 1 (indicating an abnormality), and if the copper wire returns to normal, the value at this position can be updated to 0 (indicating no abnormality).

[0087] Through the above steps S310 to S320, the behavior map of the copper wire can be updated in real time, accurately reflecting the current state and historical behavior pattern of the copper wire, which helps to timely discover problems in the copper wire guiding process and prevent accidents from occurring.

[0088] S400. Obtain the target adaptation parameters according to the historical wire information and the updated behavior map of the copper wire. The target adaptation parameters are used to reflect the expected parameters of the copper wire at different monitoring positions after the current monitoring position.

[0089] Exemplarily, the parameter adjustment probability of each second association identifier can be calculated based on the historical wire information and the behavior map of the copper wire, so as to obtain the target adaptation parameters. It is also possible to, when the confidence level determined based on the historical wire information is not high, obtain the first feedback matrix according to the updated behavior map of the copper wire, generate the second feedback matrix through mapping processing, and then determine the target association identifier and the target adaptation parameters.

[0090] In a possible implementation, please refer to Figure 2 , S400. Obtaining the target adaptation parameters according to the historical wire information and the updated behavior map of the copper wire includes:

[0091] S410. Obtain the parameter adjustment probability of each second association identifier corresponding to the copper wire according to the historical wire information and the updated behavior map of the copper wire. The second association identifier refers to other association identifiers of the copper wire after the first association identifier.

[0092] Exemplarily, the confidence level of each second association identifier can be determined based on the historical wire information. When the confidence level is greater than the confidence level threshold, the abnormal trigger intensity of each second association identifier is calculated according to the historical wire information and the updated behavior map of the copper wire, and each parameter adjustment probability is obtained according to each confidence level and each abnormal trigger intensity.

[0093] Optionally, please refer to Figure 2 , S410. Obtaining the parameter adjustment probability of each corresponding second association identifier according to the historical wire information and the updated behavior map of the copper wire includes:

[0094] S411. Determine the confidence level of each second association identifier based on the historical wire information.

[0095] Exemplarily, within a preset time window, the confidence interval of the historical parameters corresponding to each second association identifier in the historical wire information can be calculated, and the confidence level can be obtained according to the feedback type of the historical parameters corresponding to each second association identifier. For example, for the speed in the historical parameters, the confidence interval of the speed change at a certain monitoring position in the past period of time can be calculated, and the confidence level can be determined according to whether there have been abnormalities (such as jamming, wire breakage, and deformation, etc.) at this monitoring position.

[0096] Exemplarily, please refer to Figure 2 , S411, determining the confidence level of each second association identifier based on the historical wire information, includes:

[0097] S4111, within a preset time window, calculate the confidence interval of the historical parameters corresponding to each second association identifier in the historical wire information.

[0098] Exemplarily, a preset time window can be determined, and within the preset time window, the historical parameters corresponding to each second association identifier are extracted from the historical wire information, and the confidence interval of the historical parameters is calculated using statistical methods (such as confidence interval calculation under the assumption of normal distribution). For example, for calculating the confidence interval of the speed in the historical parameters, the speed data of a monitoring position (such as P1) in the past 30 days is collected. If the mean μ is 10 m / s, the standard deviation σ is 2 m / s, and the number of observation values n is 300, then the 95% confidence interval is:

[0099] S4112, within the confidence interval, obtain the confidence level according to the feedback type of the historical parameters corresponding to each second association identifier.

[0100] Exemplarily, according to the feedback type of the historical parameters corresponding to each second association identifier, the probability that the historical parameters corresponding to the feedback type being abnormal (i.e., excluding the case where the feedback type is normal) within the confidence interval is obtained as the confidence level. For example, for calculating the confidence level of the speed in the historical parameters, the confidence interval is (9.81, 10.19) m / s. Among the 30 data points within the confidence interval, 2 data points correspond to the feedback type being abnormal, then the confidence level = (28 / 30)×100% = 93.33%.

[0101] Through the above steps S4111 to S4112, the confidence interval and the confidence level are calculated, which can more accurately evaluate the stability and reliability of the historical parameters and improve the efficiency and accuracy of data processing.

[0102] S412. When the confidence level is greater than the confidence level threshold, calculate the abnormal trigger intensity of each second association identifier according to the historical wire information and the updated copper wire behavior atlas. The abnormal trigger intensity is used to reflect the probability that the copper wire has an abnormality at other monitoring positions after the monitoring position of the first wire information.

[0103] It can be understood that the confidence level threshold is a confidence level not exceeding a preset specified value, and this preset specified value can be set by those of ordinary skill in the art according to actual needs, and is not uniquely limited here.

[0104] Exemplarily, a reasonable confidence level threshold can be determined according to historical data and industry standards. For example, the confidence level threshold is 0.8.

[0105] Exemplarily, according to the historical wire information and the updated copper wire behavior atlas, statistical methods (such as conditional probability, Bayesian network, etc.) can be used to calculate the probability that the copper wire has an abnormality at other monitoring positions after the current monitoring position.

[0106] Exemplarily, please refer to Figure 2 , in S412, calculating the abnormal trigger intensity of each second association identifier according to the historical wire information and the updated copper wire behavior atlas includes:

[0107] S4121. Calculate the historical abnormal probability of the copper wire at other monitoring positions after the current monitoring position according to the historical wire information.

[0108] Exemplarily, abnormal records of the copper wire at each past monitoring position can be extracted from the historical wire information. For each monitoring position, calculate the probability that the copper wire has an abnormality at other monitoring positions after this monitoring position to obtain the historical abnormal probability. For example, if the copper wire has an abnormality 5 times at the monitoring position B after the monitoring position A, and the total number of monitoring times at the monitoring position B is 100 times, then the historical abnormal probability of the monitoring position B is 5%.

[0109] S4122. Obtain the historical abnormal information of the copper wire according to the updated copper wire behavior atlas. The historical abnormal information is used to reflect the monitoring positions and feedback types of the abnormalities that the copper wire has had.

[0110] Exemplarily, by traversing the copper wire behavior atlas, the monitoring positions where the copper wire has an abnormality and the corresponding feedback types can be extracted.

[0111] S4123. Obtain the abnormal trigger intensity according to the historical abnormal probability and the historical abnormal information.

[0112] Exemplarily, the historical anomaly probability and historical anomaly information can be combined to calculate the anomaly trigger intensity by means of weighted summation, multiplication operation, etc. For example, for monitoring location A, there are 2 anomaly records in the historical anomaly information of monitoring location A, and the historical anomaly probability is 0.1. Then the anomaly trigger intensity of monitoring location A can be calculated as: (0.1×2) / (1 + 2) = 0.0667; for monitoring location B, there is 1 anomaly record in the historical anomaly information of monitoring location B, and the historical anomaly probability is 0.0625. Then the anomaly trigger intensity of monitoring location B can be calculated as: (0.0625×1) / (1 + 1) = 0.03125.

[0113] Through the above steps S4121 to S4123, the historical anomaly probabilities of other monitoring locations after the current monitoring location of the copper wire are calculated, providing a data basis for predicting possible future anomalies. Through the updated behavior atlas of the copper wire, it is possible to comprehensively obtain the monitoring locations and feedback types of the anomalies that have occurred in the history of the copper wire, which helps to identify the anomaly patterns and behavior characteristics of the copper wire. Combining the historical anomaly probability, historical anomaly information, and historical wire information, the anomaly trigger intensity can be comprehensively evaluated, and the anomaly trigger intensity can reflect the possibility and severity of the copper wire appearing abnormal at different monitoring locations.

[0114] S413. Obtain the parameter adjustment probabilities according to the respective confidence levels and respective anomaly trigger intensities.

[0115] Exemplarily, the confidence level and the anomaly trigger intensity can be normalized and then multiplied to obtain the parameter adjustment probability. For example, if the confidence level of a certain parameter is 0.8 and the anomaly trigger intensity is 0.6, then the parameter adjustment probability is 0.48. The adjustment probability P can also be calculated through a dynamic Bayesian network adj , for example, where C is the confidence level and μ is the trigger intensity.

[0116] Through the above steps S411 to S413, the confidence level and the anomaly trigger intensity are calculated, which can more accurately evaluate the reliability and abnormality of the copper wire behavior, help to obtain the parameter adjustment probability, and at the same time provide a basis and direction for the optimization and improvement of the copper wire equipment.

[0117] S420. Based on the respective parameter adjustment probabilities, determine the second association identifier corresponding to the parameter adjustment probability greater than the probability threshold as the target association identifier.

[0118] It can be understood that the probability threshold is a preset specified value that the parameter adjustment probability does not exceed. Those of ordinary skill in the art can set this preset specified value according to actual needs and there is no unique limitation here.

[0119] Exemplarily, a reasonable probability threshold can be determined based on historical data and industry standards. For example, the probability threshold is 0.5.

[0120] Exemplarily, all parameter adjustment probabilities can be traversed, and the second association identifier corresponding to the parameter adjustment probability greater than the probability threshold is determined as the target association identifier.

[0121] S430. Determine the adaptation parameter associated with the target association identifier as the target adaptation parameter. Here, the adaptation parameter refers to the historical parameter with a normal feedback type and the most recent time in the historical wire information.

[0122] Exemplarily, for each target association identifier, the historical parameter with a normal feedback type and the most recent time associated with the target association identifier can be found from the historical wire information as the target adaptation parameter.

[0123] Through the above steps S410 to S430, accurate analysis of the copper wire behavior characteristics and accurate prediction of the parameter adjustment probability can be achieved, which is beneficial to timely discovering and solving possible problems of the copper wire, and improving the stability and reliability of the copper wire. At the same time, by determining the target association identifier and the target adaptation parameter, a scientific basis can be provided for subsequent parameter adjustment, reducing the adjustment cost and improving the adjustment efficiency.

[0124] In a possible implementation manner, please refer to Figure 2 S400. Obtaining the parameter adjustment probability of each corresponding second association identifier according to the historical wire information and the updated copper wire behavior map further includes:

[0125] S401. When the confidence level is not greater than the confidence level threshold, obtain the first feedback matrix according to the updated copper wire behavior map. The first feedback matrix is used to reflect the probability of parameter adjustment required for the copper wire at different monitoring positions.

[0126] Exemplarily, it can be when the confidence level of the parameter at a certain monitoring position is not greater than the confidence level threshold, and the first feedback matrix is generated according to the updated copper wire behavior map.

[0127] Optionally, please refer to Figure 2 In S401, obtaining the first feedback matrix according to the updated copper wire behavior map includes:

[0128] S4011. Obtain the abnormal feedback intensity according to the feedback adjacency matrix. The abnormal feedback intensity is used to reflect the probability of abnormality occurring at other monitoring positions after the current monitoring position of the copper wire.

[0129] Exemplarily, based on historical wire information and the feedback adjacency matrix, the probability that the feedback type at the monitoring position after the current monitoring position is abnormal can be calculated under the condition that the feedback type at the monitoring position before the current monitoring position is abnormal or normal for the copper wire.

[0130] S4012. Obtain a first feedback matrix based on the time matrix and the abnormal feedback intensity.

[0131] It can be understood that according to the distance of the time when the copper wire shows abnormality at different monitoring positions in the time matrix from the present, an operation (such as weighted summation and other methods) is performed with the abnormal feedback intensity to obtain the first feedback matrix.

[0132] Through the above steps S4011 to S4012, the abnormal feedback intensity of the copper wire at different monitoring positions can be obtained based on the feedback adjacency matrix and the copper wire feature matrix, reflecting the probability of the copper wire showing abnormality. Combining the time matrix and the abnormal feedback intensity, the first feedback matrix can be generated.

[0133] S402. Perform a mapping process on the first feedback matrix to generate a second feedback matrix.

[0134] Exemplarily, a mapping process (including linear transformation, non-linear transformation, etc.) can be performed on the first feedback matrix to map the first feedback matrix into a new space to generate the second feedback matrix. For example, the first feedback matrix is: where f mn refers to the probability of the m-th feedback parameter showing abnormality at the n-th monitoring position. Apply the Softmax function to each row (i.e., each feedback parameter) of the first feedback matrix, and calculate to obtain Softmax(f mn ) that is Generate a probability distribution matrix to obtain the second feedback matrix:

[0135] S403. Obtain the parameter adjustment probabilities of the corresponding second association identifiers according to the second feedback matrix.

[0136] Exemplarily, each element in the second feedback matrix (i.e., the parameter adjustment probability at each monitoring position) can be traversed to obtain the parameter adjustment probabilities of the corresponding second association identifiers according to the second feedback matrix.

[0137] Through the above steps S401 to S404, the first feedback matrix is accurately converted into the second feedback matrix. This conversion process preserves the key information of the original data while improving the readability and operability of the data. By screening the second feedback matrix with a preset threshold, target points can be effectively identified, target association identifiers are determined based on the target points, and the adaptation parameters associated with the target association identifiers are determined as the target adaptation parameters, so that the expected parameters of the copper wire at different monitoring positions after the current monitoring position can be determined, providing a key basis for subsequent control and optimization.

[0138] S500. Obtain a first adaptation parameter based on the target adaptation parameter and the wire parameter.

[0139] Exemplarily, the target adaptation parameter and the wire parameter can be weighted and averaged according to a preset weight to obtain the first adaptation parameter. It is also possible to dynamically adjust the wire parameter of the copper wire according to the magnitude of the difference between the target adaptation parameter and the wire parameter until it is adjusted to the target adaptation parameter. At this time, the first adaptation parameter is the dynamic change curve of the copper wire parameter, which is used to prevent the loss of the copper wire caused by the rapid change of the copper wire parameter.

[0140] In a possible implementation, please refer to Figure 3 , S500. Obtaining a first adaptation parameter based on the target adaptation parameter and the wire parameter includes:

[0141] S510. Obtain an error according to the wire parameter and the target adaptation parameter.

[0142] It can be understood that the error is used to reflect the degree of mismatch between the wire parameter and the target adaptation parameter. [[ID=1))

[0143] Exemplarily, methods such as mean square error and absolute error can be used to calculate the error between the wire parameter and the target adaptation parameter.

[0144] S520. Obtain a PID control term according to the error.

[0145] It can be understood that the PID control term is composed of a proportional term (P), an integral term (I), and a derivative term (D), which respectively reflect the current value, cumulative value, and change rate of the error.

[0146] Exemplarily, the PID control term can be calculated according to the error. For example, if the proportional coefficient is Kp, the integral coefficient is Ki, and the derivative coefficient is Kd, then the PID control term = Kp × error + Ki × error integral + Kd × error derivative.

[0147] S530. Obtain a dynamic adjustment value according to the time matrix.

[0148] It can be understood that the dynamic adjustment value is used to adjust the influence of the PID control term over time.

[0149] Exemplarily, a dynamic adjustment value can be calculated according to the time information in the time matrix, and the dynamic adjustment value can be a time-related function, such as exponential decay, sine wave fluctuation, etc.

[0150] S540, generate a first adaptation parameter according to the target adaptation parameter, the PID control term, and the dynamic adjustment value.

[0151] Exemplarily, operations such as weighted summation or multiplication can be performed on the target adaptation parameter, the PID control term, and the dynamic adjustment value to generate the first adaptation parameter, where the weights for weighted summation can be preset according to the actual situation.

[0152] Through the above steps S510 to S540, through the dynamic adjustment of the PID controller and the time matrix, precise control of the parameters of the copper wire guiding device can be achieved, making the parameter output closer to the target value. The proportional term of the PID controller can quickly respond to the error change, enabling the copper wire guiding device to quickly adjust its state, and the introduction of the integral term, the differential term, and the time matrix helps to eliminate static errors and predict future error changes.

[0153] S600, control the copper wire guiding according to the first adaptation parameter.

[0154] Exemplarily, the wire guiding parameters of the copper wire can be changed according to the first adaptation parameter, thereby controlling the copper wire guiding process.

[0155] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not mean the order of execution. The order of execution 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.

[0156] Corresponding to the copper wire guiding method described in the above embodiments, an embodiment of the present application further provides a copper wire guiding device, and each module of the device can implement each step of the copper wire guiding method. Figure 4 The structural block diagram of the copper wire guiding device provided by the embodiment of the present application is shown. For the sake of convenience of description, only the parts related to the embodiment of the present application are shown.

[0157] Refer to Figure 4 , the device includes:

[0158] A receiving module, configured to receive in real time the first wire information of the copper wire in the wire guiding; wherein, the first wire information includes the first identification information of the copper wire, the first associated identification, the wire guiding parameters, and the feedback type, the first associated identification includes a parameter type code and a monitoring position identification, and the feedback type is normal, jammed, broken, or deformed;

[0159] An acquisition module for acquiring historical wire information corresponding to the first identification information; wherein the historical wire information includes a plurality of historical parameters arranged in chronological order, corresponding associated identifications, and the feedback type;

[0160] A behavior map module for updating the copper wire behavior map corresponding to the first identification information based on the first wire information; wherein the copper wire behavior map is used to reflect the changes in the shape and parameters of the copper wire at different monitoring positions;

[0161] A target adaptation module for obtaining target adaptation parameters based on the historical wire information and the updated copper wire behavior map; wherein the target adaptation parameters are used to reflect the expected parameters of the copper wire at different monitoring positions after the current monitoring position;

[0162] A first adaptation module for obtaining first adaptation parameters based on the target adaptation parameters and the wire parameters;

[0163] A wire module for controlling the copper wire according to the first adaptation parameters.

[0164] It should be noted that for the information interaction, execution process, etc. between the above modules, since they are based on the same concept as the method embodiment of the present application, the specific functions and the technical effects brought thereby can be specifically referred to the method embodiment part, and will not be elaborated here.

[0165] Those skilled in the art can clearly understand that for the convenience and brevity of description, only the above 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 device 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 the present application. The specific working processes of the units and modules in the above device can refer to the corresponding processes in the foregoing method embodiment and will not be elaborated here.

[0166] The embodiment of the present application also provides a copper wire device, Figure 5 which is a schematic structural diagram of the copper wire device provided by an embodiment of the present application. As Figure 5 shown, the copper wire device 6 of this embodiment includes: at least one processor 60( Figure 5 only one is shown herein), at least one memory 61( Figure 5(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 copper wire device 6 is caused to implement the steps in any of the above-described embodiments of the copper wire method, or the copper wire device 6 is caused to implement the functions of each module / unit in the above-described device embodiments.

[0167] Exemplarily, 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 complete the present application. The one or more modules / units may 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 62 in the copper wire device 6.

[0168] The copper wire device 6 may include a control device and a traction device. The control device and the traction device are communicatively connected. The control device is used to control the traction device, and the traction device is used to traction the copper wire. The control device of this copper wire device may include, but is not limited to, the processor 60 and the memory 61. Those skilled in the art can understand that Figure 5 merely examples of the copper wire device 6, and do not constitute a limitation on the copper wire device 6. It may include more or fewer components than shown in the figure, or combine certain components, or different components. For example, it may also include input / output devices, network access devices, buses, etc.

[0169] The processor 60 may be a central processing unit (CPU), and the processor 60 may 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 may be a microprocessor or the processor may also be any conventional processor, etc.

[0170] The memory 61 may be an internal storage unit of the copper wire conductor device 6 in some embodiments, such as a hard disk or memory of the copper wire conductor device 6. The memory 61 may also be an external storage device of the copper wire conductor device 6 in other embodiments, such as a plug-in hard disk, a SmartMedia Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. equipped on the copper wire conductor device 6. Further, the memory 61 may also include both the internal storage unit of the copper wire conductor device 6 and the external storage device. The memory 61 is used to store an operating system, application programs, a BootLoader, data, and other programs, such as program codes of the computer program. The memory 61 may also be used to temporarily store data that has been output or will be output.

[0171] An embodiment of the present application also provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0172] An embodiment of the present application provides a computer program product, and when the computer program product runs on a copper wire conductor device, the copper wire conductor device is enabled to implement the steps in any of the above method embodiments.

[0173] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it may 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 may be used to instruct relevant hardware to complete. The computer program may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps in the above method embodiments may be implemented. Among them, the computer program includes computer program code, and the computer program code may be in the form of source code, object code, an executable file, or some intermediate form, etc. The computer-readable medium may at least include: any entity or device capable of carrying the computer program code to the copper wire conductor device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk, or an optical disc, etc. In some jurisdictions, according to legislation and patent practice, the computer-readable medium may not be an electrical carrier signal and a telecommunication signal.

[0174] In the above embodiments, the descriptions of the respective embodiments have their own focuses. For parts not detailed or recorded in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

[0175] Those of ordinary skill in the art will 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 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. A professional technician 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 this application.

[0176] In the embodiments provided in this application, it should be understood that the disclosed copper wire guiding device and method can be implemented in other ways. For example, the copper wire guiding device embodiments described above are merely illustrative. For example, the division of the modules or units is only a logical function division, and there may be other division methods in actual implementation. 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 to each other can be through some interfaces, and the indirect couplings or communication connections of the devices or units can be in electrical, mechanical or other forms.

[0177] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they can be located in one place, or can be 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.

[0178] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them; although this application has been described in detail with reference to the foregoing embodiments, those 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 this application, and should all be included within the protection scope of this application.

Claims

1. A copper wire conducting method, characterized in that, Including: Receiving first wire information of the copper wire in the wire in real time; wherein, the first wire information includes first identification information of the copper wire, a first associated identification, wire parameters, and a feedback type, the first associated identification includes a parameter type code and a monitoring position identification, and the feedback type is normal, jammed, broken, or deformed; Obtaining historical wire information corresponding to the first identification information; wherein, the historical wire information includes a plurality of historical parameters arranged in chronological order, corresponding associated identifications, and the feedback type; Updating a copper wire behavior map corresponding to the first identification information based on the first wire information; wherein, the copper wire behavior map is used to reflect changes in the shape and parameters of the copper wire at different monitoring positions; Obtaining target adaptation parameters according to the historical wire information and the updated copper wire behavior map; wherein, the target adaptation parameters are used to reflect expected parameters of the copper wire at different monitoring positions after the current monitoring position; Obtaining first adaptation parameters based on the target adaptation parameters and the wire parameters; Controlling the copper wire based on the first adaptation parameters.

2. The copper wire guiding method according to claim 1, characterized in that, The copper wire behavior map includes a feedback adjacency matrix, a copper wire feature matrix, a time matrix, and a parameter matrix, and the parameter matrix includes parameters of the copper wire at each monitoring position; the updating the copper wire behavior map based on the first wire information includes: Determining a target point in the feedback adjacency matrix based on the first wire information; wherein, the feedback adjacency matrix is used to reflect whether abnormalities occur at each monitoring position of the copper wire in the wire; Updating the value of the target point according to the first wire information.

3. The copper wire conducting method according to claim 2, wherein, The obtaining the target adaptation parameters according to the historical wire information and the updated copper wire behavior map includes: Obtaining parameter adjustment probabilities of each second associated identification corresponding to the copper wire according to the historical wire information and the updated copper wire behavior map; wherein, the second associated identification refers to other associated identifications of the copper wire after the first associated identification; Determining, based on each of the parameter adjustment probabilities, the second associated identification corresponding to the parameter adjustment probability greater than the probability threshold as the target associated identification; Determining the adaptation parameter associated with the target associated identification as the target adaptation parameter; wherein, the adaptation parameter refers to the historical parameter with the feedback type being normal and the most recent time in the historical wire information.

4. The copper wire conducting method according to claim 3, wherein The obtaining the parameter adjustment probabilities of each corresponding second associated identification according to the historical wire information and the updated copper wire behavior map includes: Determining the confidence level of each second associated identification based on the historical wire information; When the confidence level is greater than the confidence level threshold, calculating the abnormal trigger intensity of each second associated identification according to the historical wire information and the updated copper wire behavior map; wherein, the abnormal trigger intensity is used to reflect the probability that the copper wire has an abnormality at other monitoring positions after the monitoring position of the first wire information; Obtaining each of the parameter adjustment probabilities according to each of the confidence levels and each of the abnormal trigger intensities.

5. The copper wire conducting method according to claim 4, wherein The determining the confidence level of each second associated identification based on the historical wire information includes: Within a preset time window, calculate the confidence interval of the historical parameters corresponding to each of the second associated identifiers in the historical wire information; Within the confidence interval, obtain the confidence level according to the feedback type of the historical parameters corresponding to each of the second associated identifiers.

6. The copper wire conducting method according to claim 4, wherein The calculating the abnormal trigger intensity of each of the second associated identifiers according to the historical wire information and the updated copper wire behavior map includes: Calculate the historical abnormal probability of the copper wire at other monitoring positions after the current monitoring position according to the historical wire information; Obtain the historical abnormal information of the copper wire according to the updated copper wire behavior map; wherein, the historical abnormal information is used to reflect the monitoring positions and feedback types of the abnormalities that have occurred to the copper wire; Obtain the abnormal trigger intensity according to the historical abnormal probability and the historical abnormal information.

7. The copper wire conducting method according to claim 4, wherein The obtaining the parameter adjustment probability of each corresponding second associated identifier according to the historical wire information and the updated copper wire behavior map further includes: In the case where the confidence level is not greater than the confidence level threshold, obtain a first feedback matrix according to the updated copper wire behavior map; wherein, the first feedback matrix is used to reflect the probability of parameter adjustment of the copper wire at different monitoring positions; Perform a mapping process on the first feedback matrix to generate a second feedback matrix; Obtain the parameter adjustment probability of each corresponding second associated identifier according to the second feedback matrix.

8. The copper wire guiding method according to claim 7, wherein The obtaining the first feedback matrix according to the updated copper wire behavior map includes: Obtain the abnormal feedback intensity according to the feedback adjacency matrix; wherein, the abnormal feedback intensity is used to reflect the probability of the copper wire having an abnormality at other monitoring positions after the current monitoring position; Obtain the first feedback matrix according to the time matrix and the abnormal feedback intensity.

9. The copper wire conducting method according to claim 8, wherein, The obtaining the first adaptation parameter based on the target adaptation parameter and the wire parameter includes: Obtain an error according to the wire parameter and the target adaptation parameter; Obtain a PID control term according to the error; Obtain a dynamic adjustment value according to the time matrix; Generate the first adaptation parameter according to the target adaptation parameter, the PID control term and the dynamic adjustment value.

10. A copper wire conducting device, characterized in that, Includes: A receiving module, configured to receive in real time the first wire information of the copper wire in the wire; wherein, the first wire information includes the first identification information, the first associated identifier, the wire parameter and the feedback type of the copper wire, the first associated identifier includes a parameter type code and a monitoring position identifier, and the feedback type is normal, jammed, broken or deformed; An obtaining module, configured to obtain the historical wire information corresponding to the first identification information; wherein, the historical wire information includes a plurality of historical parameters arranged in chronological order, the corresponding associated identifier and the feedback type; A behavior map module, configured to update the copper wire behavior map corresponding to the first identification information based on the first wire information; wherein, the copper wire behavior map is used to reflect the changes in the shape and parameters of the copper wire at different monitoring positions; A target adaptation module, configured to obtain target adaptation parameters according to the historical wire information and the updated copper wire behavior atlas; wherein the target adaptation parameters are used to reflect the expected parameters of the copper wire at different monitoring positions after the current monitoring position; A first adaptation module, configured to obtain first adaptation parameters based on the target adaptation parameters and the wire parameters; A wire module, configured to control the copper wire according to the first adaptation parameters.

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