Device, method and equipment for monitoring fatigue degree of wire core of aerial cable

Abstract

The invention discloses a wire core fatigue monitoring device, method and equipment of an aerial cable, and belongs to the technical field of electric power facilities. The device comprises a cable data acquisition module used for acquiring cable rack distance data on two sides of a target position of an aerial cable and sagging radian data of the cable; the traction tension acquisition module is used for determining the traction tension applied to the target position of the cable according to the coil holder distance data and the droop radian data; the swing amplitude data acquisition module is used for acquiring swing amplitude data generated by the aerial cable under the action of wind power within a preset period; the torsion data calculation module is used for calculating torsion data borne by the target position according to the swing amplitude data and the droop radian data; and the fatigue degree determining module is used for determining the fatigue degree of the aerial cable core at the target position according to the traction tension and the torsion data. According to the technical scheme, the operation safety of the cable can be monitored in real time, the cable core with a relatively large fatigue degree can be found and replaced in time, and the normal operation of the cable is prevented from being influenced.

Description

Technical Field

[0001] The present application belongs to the technical field of electric power facilities, and specifically relates to a device, method and equipment for monitoring the fatigue of the core of an overhead cable. Background Art

[0002] During normal operation, overhead cables are subject to stress, which can cause abnormalities such as fatigue in the cable core. This fatigue can affect the normal operation of the cable, so it is necessary to test the fatigue level of the core.

[0003] At present, the detection of cable core fatigue is usually carried out by staff through regular inspections and testing the fatigue level of overhead cable cores. This method not only fails to detect abnormalities of severe fatigue of cable cores in a timely manner, but also requires a lot of time and manpower. For cables installed in more remote locations, more costs are required.

[0004] Therefore, how to monitor the fatigue degree of the cable core of the overhead cable is a technical problem that needs to be solved urgently by those skilled in the art. Summary of the Invention

[0005] The embodiments of the present application provide a core fatigue monitoring device, method and equipment for an overhead cable, the purpose of which is to determine the fatigue degree of the cable core based on the pulling tension and torque data of the cable, thereby realizing real-time monitoring of the cable operation safety, and promptly discovering and replacing cable cores with a high degree of fatigue to avoid affecting the normal operation of the cable.

[0006] In a first aspect, an embodiment of the present application provides a core fatigue monitoring device for an overhead cable, the device comprising:

[0007] A cable data acquisition module is used to acquire the cable rack distance data on both sides of the target position of the overhead cable and the sag curvature data of the cable;

[0008] A pulling tension acquisition module, configured to determine the pulling tension exerted on the target position of the cable according to the wire rack distance data and the sag arc data;

[0009] A swing amplitude data acquisition module is used to obtain the swing amplitude data of the overhead cable caused by wind force within a preset period;

[0010] a torque data calculation module, configured to calculate the torque data applied to the target position based on the swing amplitude data and the sag arc data;

[0011] A fatigue degree determination module is used to determine the fatigue degree of the overhead cable core at the target position according to the pulling tension and the torque data.

[0012] Furthermore, the device further comprises:

[0013] A rotational inertia acquisition module, configured to acquire parameters of the overhead cable and determine the rotational inertia of the overhead cable according to the parameters of the overhead cable;

[0014] Accordingly, the torque data calculation module is specifically used to:

[0015] Converting the swing period of the overhead cable and the swing amplitude data into swing angular velocity data;

[0016] The torque data applied to the target position is calculated according to the swing angular velocity data, the sag arc data, and the moment of inertia.

[0017] Furthermore, the moment of inertia acquisition module is specifically used to:

[0018] Obtaining the standard moment of inertia of the overhead cable according to the overhead cable parameters;

[0019] Acquiring environmental data of the location where the overhead cable is laid; wherein the environmental data includes ambient temperature and ambient humidity;

[0020] The standard moment of inertia is calibrated according to a predetermined calibration coefficient and the environmental data to obtain the moment of inertia of the overhead cable.

[0021] Furthermore, the torque data calculation module is also used to:

[0022] The torque data is compared with a set threshold value, and if the torque data exceeds the set threshold value, a prompt message indicating that the overhead cable torque is abnormal is generated.

[0023] Furthermore, the fatigue level determination module is specifically configured to:

[0024] Obtaining the pulling tension and torsion data of an overhead cable with known core fatigue as a test sample, and constructing a fatigue analysis model based on the test sample;

[0025] The currently collected pulling tension and torque data are input into a pre-built fatigue degree analysis model, and the fatigue degree of the current cable core is determined according to the output result of the fatigue program analysis model.

[0026] Furthermore, the fatigue level determination module is further configured to:

[0027] Obtaining fatigue history records of the overhead cable;

[0028] Calculate the number of historical fatigue occurrences and the historical fatigue degree of the overhead cable core in the fatigue degree history records;

[0029] When the number of historical fatigue times and the historical fatigue degree exceed preset conditions, it is determined that the cable core is in a severe fatigue state.

[0030] Furthermore, the device further comprises:

[0031] An image acquisition module, configured to acquire image information of the target location;

[0032] Identifying the image information and extracting feature data of the overhead cable;

[0033] Accordingly, the cable data acquisition module is specifically used to:

[0034] Obtaining sag radian data from the characteristic data;

[0035] The fatigue level determination module is specifically configured to:

[0036] Obtaining the damage degree of the outer surface of the overhead cable in the characteristic data;

[0037] When the number of historical fatigue times, the historical fatigue degree, and the degree of damage to the outer surface of the overhead cable exceed preset conditions, it is determined that the cable core is in a severe fatigue state.

[0038] In a second aspect, an embodiment of the present application provides a method for monitoring fatigue of an overhead cable core, the method comprising:

[0039] Acquiring cable rack distance data on both sides of a target position of an overhead cable and sag curvature data of the cable;

[0040] Determining the pulling tension of the cable at the target position according to the wire rack distance data and the sag arc data;

[0041] Obtaining swing amplitude data of the overhead cable caused by wind force within a preset period;

[0042] Calculating the torque data applied to the target position according to the swing amplitude data and the sag arc data;

[0043] The fatigue degree of the overhead cable core at the target location is determined according to the pulling tension and the torque data.

[0044] Furthermore, before calculating the torque data applied to the target position, the method further includes:

[0045] Acquiring overhead cable parameters, and determining the moment of inertia of the overhead cable according to the overhead cable parameters;

[0046] Correspondingly, the torque data applied to the target position is calculated based on the swing amplitude data and the sag arc data, including:

[0047] Converting the swing period of the overhead cable and the swing amplitude data into swing angular velocity data;

[0048] The torque data applied to the target position is calculated according to the swing angular velocity data, the sag arc data, and the moment of inertia.

[0049] In a third aspect, an embodiment of the present application provides an electronic device comprising a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the method described in the first aspect.

[0050] In a fourth aspect, an embodiment of the present application provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented.

[0051] In a fifth aspect, an embodiment of the present application provides a chip, which includes a processor and a communication interface, the communication interface and the processor are coupled, and the processor is used to run programs or instructions to implement the method described in the first aspect.

[0052] In an embodiment of the present application, a cable data acquisition module is used to acquire the rack distance data on both sides of the target position of the overhead cable and the droop radian data of the cable; a pulling tension acquisition module is used to determine the pulling tension of the cable target position based on the rack distance data and the droop radian data; a swing amplitude data acquisition module is used to acquire the swing amplitude data generated by the overhead cable under the action of wind force within a preset period; a torque data calculation module is used to calculate the torque data of the target position based on the swing amplitude data and the droop radian data; a fatigue degree determination module is used to determine the fatigue degree of the overhead cable core at the target position based on the pulling tension and the torque data. Through the above-mentioned overhead cable core fatigue monitoring device, the fatigue degree of the cable core can be determined based on the pulling tension and torque data of the cable, thereby realizing real-time monitoring of the cable operation safety, timely discovering and replacing cable cores with a large fatigue degree, and avoiding affecting the normal operation of the cable. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 This is a schematic structural diagram of a core fatigue monitoring device for an overhead cable provided in Example 1 of the present application;

[0054] Figure 2This is a schematic structural diagram of an overhead cable core fatigue monitoring device provided in Example 2 of the present application;

[0055] Figure 3 This is a schematic structural diagram of an overhead cable core fatigue monitoring device provided in Example 3 of the present application;

[0056] Figure 4 Schematic diagram of the structure of the overhead cable core fatigue monitoring device provided in the fourth embodiment of the present application;

[0057] Figure 5 1 is a flow chart of a method for monitoring fatigue of an overhead cable core provided in Example 5 of the present application;

[0058] Figure 6 This is a structural diagram of the electronic device provided in Example 6 of the present application. DETAILED DESCRIPTION

[0059] In order to make the purpose, technical solutions and advantages of the present application clearer, the specific embodiments of the present application are further described in detail below in conjunction with the accompanying drawings. It is understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application. It should also be noted that, for ease of description, only parts related to the present application, not all of the contents, are shown in the accompanying drawings. Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flow charts. Although the flow charts describe each operation (or step) as a sequential process, many of the operations therein can be implemented in parallel, concurrently or simultaneously. In addition, the order of the operations can be rearranged. The process can be terminated when its operation is completed, but can also have additional steps not included in the accompanying drawings. The process can correspond to a method, function, procedure, subroutine, subprogram, etc.

[0060] The following will be combined with the accompanying drawings in the embodiments of the present application to clearly describe the technical solutions in the embodiments of the present application. Obviously, the embodiments described are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field are within the scope of protection of this application.

[0061] The terms "first," "second," and the like in the specification and claims of this application are used to distinguish similar objects, and are not used to describe a specific order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate, so that the embodiments of this application can be implemented in an order other than that illustrated or described herein, and that the objects distinguished by "first," "second," and the like are generally of the same type, and do not limit the number of objects; for example, the first object can be one or more. In addition, the term "and / or" in the specification and claims refers to at least one of the connected objects, and the character " / " generally indicates that the objects connected are in an "or" relationship.

[0062] The following describes in detail the core fatigue monitoring device, method and equipment for overhead cables provided in the embodiments of the present application through specific embodiments and their application scenarios in conjunction with the accompanying drawings.

[0063] Example 1

[0064] Figure 1 This is a schematic diagram of the structure of the overhead cable core fatigue monitoring device provided in Example 1 of the present application. Figure 1 As shown, the specific steps include:

[0065] The cable data acquisition module 101 is used to acquire the cable rack distance data on both sides of the target position of the overhead cable and the sag curvature data of the cable;

[0066] A pulling tension obtaining module 102 is configured to determine the pulling tension applied to the target position of the cable according to the cable rack distance data and the sag arc data;

[0067] The swing amplitude data acquisition module 103 is used to obtain the swing amplitude data of the overhead cable caused by the wind force within a preset period;

[0068] a torque data calculation module 104 for calculating the torque data applied to the target position based on the swing amplitude data and the sag arc data;

[0069] The fatigue degree determination module 105 is configured to determine the fatigue degree of the overhead cable core at the target location according to the pulling tension and the torque data.

[0070] The application scenario of this solution can be a scenario of detecting the fatigue degree of the cable core at the target location of the overhead cable.

[0071] Based on the above scenario, it can be understood that the executor of this scenario can be an intelligent terminal that identifies the fatigue degree of the cable core, such as a desktop computer, a laptop computer, a tablet computer, and an interactive multimedia device, etc., and no excessive restrictions are made here.

[0072] Cable data acquisition module 101 can be a program designed for an intelligent terminal to obtain the distance between the cable racks on both sides of the target location and the cable's sag arc data. Specifically, an overhead cable can be an insulated cable installed on a cable rack, allowing it to maintain a certain height difference from the ground. The installation of an overhead cable can solve the problem of difficult installation caused by numerous obstructions on the ground or underground, and can also reduce accidental contact between humans and animals to a certain extent.

[0073] The target location may be a specific section of an overhead cable where fatigue testing is desired.

[0074] The cable tray distance data may be the straight-line distance between two cable trays for supporting overhead cables on both sides of the target location.

[0075] The sag radian data may be the sag of the cable segment at the target location between the two wire racks due to its own length being greater than the wire rack distance data. The sag radian data is the radian corresponding to the straight line of the cable segment between the two wire racks.

[0076] To obtain the wire rack distance data on both sides of the target position, the staff can measure the straight-line distance between the wire racks on both sides of the target position, or obtain the straight-line distance between adjacent wire racks by consulting relevant records when the wire racks are set up, and input the straight-line distance as wire rack distance data into the smart terminal for acquisition by the smart terminal.

[0077] The method for obtaining the sag radian data of the target position is that the staff can measure the wire rack distance data and the length data of the cable segment between the wire racks on both sides of the target position, and input the data into the intelligent terminal. The intelligent terminal simulates the installation status of the cable on the wire rack based on the wire rack distance data and the length data, and calculates the radian data of the cable segment in the simulation results, and then uses the radian data as the sag radian data.

[0078] The pulling tension acquisition module 102 may be a program designed by the intelligent terminal to calculate the pulling tension applied to the target cable location. Specifically, the pulling tension may be the overall pulling force applied to the target cable location along the cable's extension direction, due to various external forces, including the support force of the cable's two side brackets, the tension applied to other cable locations, and the cable's own gravity.

[0079] The method for determining the pulling tension of the cable at the target position can be to input the collected wire rack distance data and sag arc data into the intelligent terminal. The intelligent terminal uses big data to obtain the mass per unit length of the current cable, and then substitutes the obtained data into the calculation formula:

[0080] T = mgl / 2sin(180°α / π);

[0081] Where T is the pulling tension, m is the mass of the cable per unit length, g is the acceleration of gravity, l is the wire rack distance data, and α is the sag arc data.

[0082] The pulling tension of the cable at the target position can be obtained.

[0083] The swing amplitude data acquisition module 103 can be a displacement sensor that can be installed at the target location of the cable to collect swing amplitude data at the target location. Specifically, the preset period can be the swing amplitude data acquisition period determined by the operator based on the swing amplitude data acquisition time required to calculate the torque data.

[0084] The swing amplitude data can be the displacement change of the target position relative to the static state during the swing process when the cable is suspended due to the action of external forces such as wind.

[0085] To obtain swing amplitude data, a displacement sensor can be placed at a target location. When the cable swings due to wind, the variable resistor element in the displacement sensor stretches or compresses, causing a change in resistance. This change in resistance is converted into a measurable electrical signal, which is then converted back into an electrical signal by the circuitry in the displacement sensor. By recording the electrical signal over a preset period, data on the swing amplitude of the overhead cable caused by wind during that period can be obtained.

[0086] The torque data calculation module 104 can be a program designed for the intelligent terminal to calculate the torque data applied to the target location. Specifically, the torque data can be the resistance between adjacent locations generated by the twisting state when the cable swings due to wind.

[0087] The method for calculating the torque data is to calculate the tension data of the target position of the cable based on the sag arc data and the weight of the cable, predict the change in the direction of the tension data based on the swing amplitude data, and then determine the torque data of the target position through the magnitude of the tension and the direction offset value of the tension.

[0088] Fatigue determination module 105 can be a program designed for the intelligent terminal to predict the fatigue level of the overhead cable core at a target location based on the pulling tension and torque data. Specifically, the fatigue level of the overhead cable core at the target location can be the residual load capacity of the cable core at the target location. A cable core with a greater fatigue level is more likely to experience abnormalities during subsequent operation.

[0089] The fatigue level of the overhead cable core at the target location can be determined based on the correlation between the pulling tension and torque data and the fatigue level, i.e., the greater the pulling tension and / or torque data experienced at the target location, the greater the fatigue level of the overhead cable core. Specifically, the pulling tension and torque data experienced by a cable with a known fatigue level can be obtained in advance, and the influence weights of the pulling tension and torque data on the fatigue level can be obtained by analyzing the obtained data. After the pulling tension and torque data are obtained, the corresponding fatigue level is determined based on the respective influence weights.

[0090] Based on the above solution, optionally, the torque data calculation module is further used to:

[0091] The torque data is compared with a set threshold value, and if the torque data exceeds the set threshold value, a prompt message indicating that the overhead cable torque is abnormal is generated.

[0092] The threshold can be set by the operator based on the minimum torque data that can damage the cable core or affect the normal operation of the cable. When the torque data exceeds the set threshold, an alarm is sent to the relevant personnel, promptly notifying them of the current cable damage.

[0093] The method of generating a prompt message of abnormal overhead cable torque is to compare the torque data with a set threshold after obtaining the torque data. If the torque data is greater than the set threshold, the current target position is obtained, and a prompt message of abnormal overhead cable torque is generated according to the target position, and sent to the terminal device of the relevant staff to prompt the staff to perform timely maintenance on the abnormal position.

[0094] The advantage of this arrangement of the present invention is that it can monitor the torque data of the cable while monitoring the fatigue of the cable core, and thus promptly detect whether the overhead cable is subjected to external forces that may affect the normal operation of the cable, thereby avoiding greater losses.

[0095] In this solution, a program code is provided for reference to determine the fatigue degree of the overhead cable core at the target location based on the pulling tension and torque data:

[0096] import pandas as pd

[0097] import numpy as np

[0098] file_path = 'cable_data.csv'

[0099] def load_data(file_path):

[0100] """Load data"""

[0101] return pd.read_csv(file_path,parse_dates=['Timestamp'],index_col='Timestamp')

[0102] def calculate_fatigue_index(tension,torque,material_constants):

[0103] """

[0104] Calculate the fatigue index.

[0105] :param tension: pulling tension array

[0106] :param torque: torque array

[0107] :param material_constants:

[0108] :return: Fatigue index array

[0109] fatigue_index=np.sqrt(tension**2+(torque / material_constants['torque_factor'])**2)

[0110] fatigue_threshold=material_constants['fatigue_threshold']

[0111] fatigue_index_normalized=fatigue_index / fatigue_threshold

[0112] #Convert to percentage for easier understanding

[0113] fatigue_percentage=(fatigue_index_normalized-1)*100if fatigue_index_normalized>1else 0

[0114] return fatigue_percentage

[0115] #Example material constants

[0116] material_constants = {

[0117] 'torque_factor':100,

[0118] 'fatigue_threshold':10000

[0119] }

[0120] data = load_data(file_path)

[0121] #Calculate fatigue level

[0122] tension=data['Tension'].values

[0123] torque=data['Torque'].values

[0124] fatigue_percentages=calculate_fatigue_index(tension,torque,material_constants)

[0125] # Display the results

[0126] print("Time","Fatigue Percentage(%)")

[0127] for time,fatigue in zip(data.index,fatigue_percentages):

[0128] print(time,fatigue)

[0129] #Optional: Save the results to a new CSV file

[0130] fatigue_data=pd.DataFrame({'Time':data.index,'Fatigue Percentage(%)':fatigue_percentages})

[0131] fatigue_data.to_csv('fatigue_results.csv')

[0132] In an embodiment of the present application, a cable data acquisition module is used to acquire the rack distance data on both sides of the target position of the overhead cable and the droop radian data of the cable; a pulling tension acquisition module is used to determine the pulling tension of the cable target position based on the rack distance data and the droop radian data; a swing amplitude data acquisition module is used to acquire the swing amplitude data generated by the overhead cable under the action of wind force within a preset period; a torque data calculation module is used to calculate the torque data of the target position based on the swing amplitude data and the droop radian data; a fatigue degree determination module is used to determine the fatigue degree of the overhead cable core at the target position based on the pulling tension and the torque data. Through the above-mentioned overhead cable core fatigue monitoring device, the fatigue degree of the cable core can be determined based on the pulling tension and torque data of the cable, thereby realizing real-time monitoring of the cable operation safety, timely discovering and replacing cable cores with a large fatigue degree, and avoiding affecting the normal operation of the cable.

[0133] Example 2

[0134] Figure 2 This is a schematic diagram of the structure of the overhead cable core fatigue monitoring device provided in Example 2 of the present application. This solution makes a better improvement on the above embodiment, specifically: the device also includes:

[0135] The moment of inertia acquisition module is used to obtain the parameters of the overhead cable and determine the moment of inertia of the overhead cable based on the overhead cable parameters; accordingly, the torque data calculation module is specifically used to: convert the swing period of the overhead cable and the swing amplitude data into swing angular velocity data; and calculate the torque data exerted on the target position based on the swing angular velocity data, the droop arc data and the moment of inertia.

[0136] like Figure 2 As shown, specifically including the following:

[0137] The cable data acquisition module 201 is used to acquire the cable rack distance data on both sides of the target position of the overhead cable and the sag curvature data of the cable;

[0138] A pulling tension obtaining module 202 is configured to determine the pulling tension applied to the target position of the cable according to the cable rack distance data and the sag arc data;

[0139] The swing amplitude data acquisition module 203 is used to obtain the swing amplitude data of the overhead cable caused by the wind force within a preset period;

[0140] The torque data calculation module 204 is used to calculate the torque data of the target position according to the swing amplitude data and the sag arc data;

[0141] a fatigue degree determination module 205 for determining the fatigue degree of the overhead cable core at the target location based on the pulling tension and the torque data;

[0142] The moment of inertia acquisition module 206 is configured to acquire parameters of the overhead cable and determine the moment of inertia of the overhead cable according to the parameters of the overhead cable.

[0143] The torque data calculation module 204 is specifically configured to convert the swing period of the overhead cable and the swing amplitude data into the swing angular velocity data;

[0144] The torque data applied to the target position is calculated according to the swing angular velocity data, the sag arc data, and the moment of inertia.

[0145] The moment of inertia acquisition module 206 may be a program designed by the intelligent terminal to determine the moment of inertia of the current overhead cable. Specifically, the overhead cable parameters may be parameter values ​​such as the cable model and specifications, for example, the cable length and density.

[0146] The moment of inertia is a physical parameter that describes the ability of a cable to resist changes in its rotational state. A cable with a larger moment of inertia is more difficult to change its rotational state.

[0147] The method for determining the moment of inertia of the overhead cable is that the staff can input the parameter information of the current overhead cable into the smart terminal. After the smart terminal receives the overhead cable parameters, it queries and records the moment of inertia values ​​corresponding to cables of the same model and specification through big data based on the specific values ​​input by the staff.

[0148] The swing angular velocity data may be the angle that the cable rotates per unit time during the swing process.

[0149] The method for obtaining the swing angular velocity data is to convert the swing amplitude data into the angle change data of the cable during the swing process, obtain the time required for the cable to swing once according to the swing period of the cable, and calculate the ratio of the maximum angle value in the angle change data to the time as the swing angular velocity data.

[0150] The method for calculating the torque data of the target position is to obtain the swing angular velocity data and moment of inertia of the target position and substitute them into the calculation formula:

[0151] M = Iα;

[0152] Where M is the torque data, I is the moment of inertia, and α is the swing angular velocity data.

[0153] According to the above formula, the torque data of the target position can be obtained.

[0154] The advantage of this arrangement of the present invention is that the torque data acting on the target position can be obtained through the swing angular velocity data and the moment of inertia, which provides a method for calculating the torque data and makes the calculation results of the torque data more consistent with the actual situation.

[0155] Based on the above solution, optionally, the moment of inertia acquisition module is specifically used to:

[0156] Obtaining the standard moment of inertia of the overhead cable according to the overhead cable parameters;

[0157] Acquiring environmental data of the location where the overhead cable is laid; wherein the environmental data includes ambient temperature and ambient humidity;

[0158] The standard moment of inertia is calibrated according to a predetermined calibration coefficient and the environmental data to obtain the moment of inertia of the overhead cable.

[0159] The standard moment of inertia may be the moment of inertia that the cable should have when it is operating normally and is not affected by other external conditions.

[0160] The method for obtaining the standard moment of inertia of the overhead cable is that the intelligent terminal uses big data to query and record the moment of inertia values ​​corresponding to cables of the same model and specification as the standard moment of inertia based on the overhead cable parameters.

[0161] The ambient temperature may be the temperature data of the surrounding environment where the cable is laid.

[0162] Ambient humidity can be the moisture content of the air in the surrounding environment where the cable is laid.

[0163] The method for obtaining environmental data of the overhead cable laying location is to install a temperature sensor and a humidity sensor at the cable laying location, and the temperature sensor collects the temperature data of the location and uploads it to the smart terminal. At the same time, the humidity sensor collects the humidity data of the location and uploads it to the smart terminal.

[0164] The method of predetermining the calibration coefficient is to predict the environmental data that may appear at the cable laying location in advance, and calculate the change in the moment of inertia of the cable under each environmental data. According to the change in the moment of inertia, the correlation between the moment of inertia under the current environmental data and the standard moment of inertia is calculated as the calibration coefficient, and the calibration coefficient is associated with the corresponding environmental data.

[0165] The standard moment of inertia may be calibrated by obtaining a calibration coefficient associated with current environmental data, and calculating the product of the calibration coefficient and the standard moment of inertia as the moment of inertia of the overhead cable.

[0166] The advantage of this arrangement of the present invention is that it can take into account the influence of environmental data on the rotational inertia of the cable, calibrate the standard rotational inertia, and thus make the calculation results of the torque data more accurate.

[0167] Example 3

[0168] Figure 3 This is a schematic diagram of the structure of the overhead cable core fatigue monitoring device provided in Example 3 of the present application. This solution makes a better improvement to the above-mentioned embodiment. Specifically, the improvement is as follows: the fatigue determination module is specifically used to: obtain the pulling tension and torque data of the overhead cable with known core fatigue as a test sample, and construct a fatigue analysis model based on the test sample; input the currently collected pulling tension and torque data into the pre-constructed fatigue analysis model, and determine the fatigue level of the current cable core based on the output results of the fatigue program analysis model.

[0169] like Figure 3 As shown, specifically including the following:

[0170] The cable data acquisition module 301 is used to acquire the cable rack distance data on both sides of the target position of the overhead cable and the sag curvature data of the cable;

[0171] A pulling tension obtaining module 302 is configured to determine the pulling tension applied to the target position of the cable according to the cable rack distance data and the sag arc data;

[0172] The swing amplitude data acquisition module 303 is used to obtain the swing amplitude data of the overhead cable caused by the wind force within a preset period;

[0173] The torque data calculation module 304 is used to calculate the torque data of the target position according to the swing amplitude data and the sag arc data;

[0174] The fatigue degree determination module 305 is configured to determine the fatigue degree of the overhead cable core at the target location according to the pulling tension and the torque data.

[0175] The fatigue degree determination module 305 is specifically configured to obtain the pulling tension and torque data of an overhead cable with a known core fatigue degree as a test sample, and construct a fatigue degree analysis model based on the test sample;

[0176] The currently collected pulling tension and torque data are input into a pre-built fatigue degree analysis model, and the fatigue degree of the current cable core is determined according to the output result of the fatigue program analysis model.

[0177] The test sample can be a cable with wire cores of different fatigue levels obtained in advance, the pulling tension and torque data of each cable are obtained, the pulling tension, torque data and fatigue level of the cable are stored correspondingly, and the stored content is used as a test sample.

[0178] A fatigue analysis model can be constructed by using the fatigue level in the test sample as a label and the corresponding cable tension and torque data as input variables, and performing supervised training to obtain the correlation between the fatigue level of the cable core and the tension and torque data, and then constructing a fatigue analysis model that can predict the fatigue level of the cable core through the tension and torque data.

[0179] The method for determining the fatigue degree of the current cable core is to, after obtaining the pulling tension and torque data of the current target position, input the pulling tension and torque data into a pre-built fatigue degree analysis model, and the fatigue degree analysis model predicts the fatigue degree of the current cable core based on the pre-learned correlation between the fatigue degree of the cable core and the pulling tension and torque data, and uses the predicted result as the fatigue degree of the current cable core.

[0180] The advantage of this arrangement of the present invention is that the fatigue degree of the cable core can be predicted based on the fatigue degree analysis model, which is conducive to more accurate determination of the fatigue degree of the cable core, thereby avoiding unnecessary losses caused by misjudgment.

[0181] Example 4

[0182] Figure 4 This is a schematic diagram of the structure of the overhead cable core fatigue monitoring device provided in Example 4 of the present application. This solution provides a superior improvement over the above-mentioned embodiment, specifically: the fatigue determination module is further configured to: obtain a fatigue history record of the overhead cable; calculate the number of historical fatigue occurrences and the historical fatigue degree of the overhead cable core in the fatigue history record; and determine that the cable core is in a severe fatigue state when the historical fatigue number and the historical fatigue degree exceed preset conditions.

[0183] like Figure 4 As shown, specifically including the following:

[0184] The cable data acquisition module 401 is used to acquire the cable rack distance data on both sides of the target position of the overhead cable and the sag curvature data of the cable;

[0185] A pulling tension obtaining module 402 is configured to determine the pulling tension applied to the target position of the cable according to the cable rack distance data and the sag arc data;

[0186] The swing amplitude data acquisition module 403 is used to obtain the swing amplitude data of the overhead cable caused by the wind force within a preset period;

[0187] a torque data calculation module 404, configured to calculate the torque data applied to the target position based on the swing amplitude data and the sag arc data;

[0188] The fatigue degree determination module 405 is configured to determine the fatigue degree of the overhead cable core at the target location according to the pulling tension and the torque data.

[0189] The fatigue degree determination module 405 is further configured to obtain a fatigue degree history record of the overhead cable;

[0190] Calculate the number of historical fatigue occurrences and the historical fatigue degree of the overhead cable core in the fatigue degree history records;

[0191] When the number of historical fatigue times and the historical fatigue degree exceed preset conditions, it is determined that the cable core is in a severe fatigue state.

[0192] The fatigue level history record may be a record of the test process and test results of the current cable in previous fatigue level tests.

[0193] The method for obtaining the fatigue history record of the overhead cable is that each time the fatigue degree of the cable core of the overhead cable is tested, the test process and test results are recorded and stored in a designated location in the smart terminal to form a fatigue history record, which can be read when needed.

[0194] The method of obtaining the historical fatigue times and historical fatigue degrees can be to identify the fatigue degree history records of the current target position, count the number of times the target position is fatigued, and extract the fatigue degree of the target position each time fatigue occurs.

[0195] The preset condition may be a preset minimum requirement of the number of historical fatigue times and the degree of historical fatigue for determining whether the current cable core is in a severe fatigue state.

[0196] The method for determining whether the cable core is in a serious fatigue state is that the staff can determine the preset conditions based on the safety standards of the overhead cables, and set the preset conditions in advance through the intelligent terminal. After obtaining the historical fatigue times and the historical fatigue levels, they are compared with the values ​​in the preset conditions. If the historical fatigue times and the historical fatigue levels meet the requirements of the preset conditions, it is determined that the cable core is in a serious fatigue state and needs to be maintained or replaced in time.

[0197] The advantage of this arrangement of the present invention is that it can combine the historical records of fatigue levels to predict the current fatigue state of the cable core, and then detect the degree of damage to the cable core due to the accumulation of historical fatigue, and accurately discover abnormalities in the cable core in a timely manner.

[0198] Based on the above solution, optionally, the device further includes:

[0199] An image acquisition module, configured to acquire image information of the target location;

[0200] Identifying the image information and extracting feature data of the overhead cable;

[0201] Accordingly, the cable data acquisition module is specifically used to:

[0202] Obtaining sag radian data from the characteristic data;

[0203] The fatigue level determination module is specifically configured to:

[0204] Obtaining the damage degree of the outer surface of the overhead cable in the characteristic data;

[0205] When the number of historical fatigue times, the historical fatigue degree, and the degree of damage to the outer surface of the overhead cable exceed preset conditions, it is determined that the cable core is in a severe fatigue state.

[0206] The image acquisition module, which can be an image sensor, is placed in a position where it can capture overhead cables and is used to acquire image information of the target location. Specifically, the method for acquiring image information of the target location can be to utilize the physical phenomenon of the photoelectric effect. When capturing the target location, when external light enters the image sensor, the photons are absorbed by the photodiode or photosensitive element in the image sensor. This absorption process causes electron carriers to be generated inside the photodiode. The number of electrons is proportional to the intensity of the incident light, so the photodiode can convert the optical signal into an electrical signal. The image information of the target location is then obtained by the change in the current electrical signal.

[0207] The method for extracting the characteristic data of the overhead cable may be to filter the image information, remove image noise or perform image enhancement, and extract features such as smooth areas or edges of the image. And calculate the LBP value of the image as the characteristic data. Among them, the method for calculating the LBP value of the image may be to select a pixel in the image as the center pixel. Define a neighborhood around this center pixel, for example, a 3x3 square area. For each pixel in the neighborhood, compare its grayscale value with the grayscale value of the center pixel. If the grayscale value of the neighborhood pixel is greater than or equal to the grayscale value of the center pixel, mark the position as 1; otherwise, mark it as 0. Arrange the comparison results in a certain order to form a binary number, that is, the LBP value of the center pixel.

[0208] The method of obtaining the sag radian data in the feature data can be to perform edge extraction on the image information of the target position, extract the edge information of the overhead cable in the image, fit the edge information of the cable through polynomial fitting, least squares method and other methods, and match the bending curve. According to the fitted curve, the radian value of the cable is calculated and written into the feature data of the image, and the radian value of the cable is extracted from the feature data as the sag radian data.

[0209] The degree of damage to the outer surface of the overhead cable may be the smoothness of the outer surface insulation layer of the overhead cable at the target location. When the smoothness is higher, the degree of damage to the outer surface of the overhead cable is lower.

[0210] The method of obtaining the degree of damage of the outer surface of the overhead cable in the feature data can be to count the areas of scratches, breakages and other cable damage traces on the outer surface of the cable, calculate the proportion of the damaged area to the overall area of ​​the outer surface of the cable and write it into the feature data of the image, and extract the proportion data from the feature data as the degree of damage of the outer surface of the overhead cable.

[0211] The method for determining whether the cable core is in a serious fatigue state can be that the staff determines the historical fatigue times, historical fatigue degrees and the minimum thresholds of the damage degree of the outer surface of the overhead cable as preset conditions based on the safety standards of the overhead cable, and sets the preset conditions in advance through the intelligent terminal. After obtaining the historical fatigue times, historical fatigue degrees and the damage degree of the outer surface of the overhead cable, they are compared with the values ​​in the preset conditions respectively. If the historical fatigue times, historical fatigue degrees and the damage degree of the outer surface of the overhead cable all meet the requirements of the preset conditions, it is determined that the cable core is in a serious fatigue state and needs to be maintained or replaced in time.

[0212] The advantage of this arrangement of the present scheme is that it can take into account the relationship between the degree of damage to the outer surface of the overhead cable and the fatigue state of the cable core. On the basis of the historical fatigue times and the historical fatigue degree, the degree of damage is added as the basis for judging the fatigue state of the cable core, making the judgment of the fatigue state of the cable core more accurate.

[0213] Example 5

[0214] Figure 5 This is a flow chart of the method for monitoring core fatigue of an overhead cable provided in Example 5 of the present application.

[0215] like Figure 5 As shown, the specific steps include:

[0216] S501, obtaining the cable rack distance data on both sides of the target position of the overhead cable and the sag curvature data of the cable;

[0217] S502, determining the pulling tension of the cable at the target position according to the cable rack distance data and the sag arc data;

[0218] S503, obtaining swing amplitude data of the overhead cable caused by wind force within a preset period;

[0219] S504, calculating the torque data applied to the target position according to the swing amplitude data and the sag arc data;

[0220] S505: Determine the fatigue degree of the overhead cable core at the target location according to the pulling tension and the torque data.

[0221] Optionally, before calculating the torque data applied to the target position, the method further includes:

[0222] Acquiring overhead cable parameters, and determining the moment of inertia of the overhead cable according to the overhead cable parameters;

[0223] Correspondingly, the torque data applied to the target position is calculated based on the swing amplitude data and the sag arc data, including:

[0224] Converting the swing period of the overhead cable and the swing amplitude data into swing angular velocity data;

[0225] The torque data applied to the target position is calculated according to the swing angular velocity data, the sag arc data, and the moment of inertia.

[0226] In an embodiment of the present application, the wire rack distance data on both sides of the target position of the overhead cable and the droop radian data of the cable are obtained; the pulling tension of the cable target position is determined based on the wire rack distance data and the droop radian data; the swing amplitude data generated by the overhead cable under the action of wind force within a preset period is obtained; the torque data of the target position is calculated based on the swing amplitude data and the droop radian data; the fatigue degree of the overhead cable core at the target position is determined based on the pulling tension and the torque data. By using the above-mentioned wire core fatigue monitoring device for overhead cables, the fatigue degree of the cable core can be determined based on the pulling tension and torque data of the cable, thereby realizing real-time monitoring of the cable operation safety, timely discovering and replacing cable cores with a large degree of fatigue, and avoiding affecting the normal operation of the cable.

[0227] The overhead cable core fatigue monitoring method provided in the embodiment of the present application corresponds to the overhead cable core fatigue monitoring device provided in the above embodiment, and has the same functional modules and beneficial effects. To avoid repetition, they will not be repeated here.

[0228] Example 6

[0229] like Figure 6 As shown, an embodiment of the present application also provides an electronic device 600, including a processor 601, a memory 602, and a program or instruction stored in the memory 602 and executable on the processor 601. When the program or instruction is executed by the processor 601, each process of the above-mentioned embodiment of the overhead cable core fatigue monitoring device is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be described here.

[0230] It should be noted that the electronic devices in the embodiments of the present application include the mobile electronic devices and non-mobile electronic devices mentioned above.

[0231] Example 7

[0232] An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the various processes of the above-mentioned embodiment of the overhead cable core fatigue monitoring device are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0233] The processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes a computer-readable storage medium, such as a computer read-only memory (ROM), random access memory (RAM), a magnetic disk, or an optical disk.

[0234] Example 8

[0235] An embodiment of the present application further provides a chip, which includes a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the various processes of the above-mentioned embodiment of the overhead cable core fatigue monitoring device, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0236] It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

[0237] It should be noted that, in this article, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the statement "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device comprising the element. In addition, it should be noted that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in the opposite order according to the functions involved. For example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0238] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a computer software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), including a number of instructions for enabling a terminal (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in each embodiment of the present application.

[0239] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of this application, ordinary technicians in this field can also make many forms without departing from the purpose of this application and the scope of protection of the claims, all of which are within the protection of this application.

[0240] The above are only preferred embodiments of the present application and the technical principles employed. The present application is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions that are possible for those skilled in the art will not depart from the scope of protection of the present application. Therefore, although the present application has been described in more detail through the above embodiments, the present application is not limited to the above embodiments and may include more other equivalent embodiments without departing from the concept of the present application. The scope of the present application is determined by the scope of the claims.

Claims

1. A core fatigue monitoring device for an overhead cable, characterized in that: The device comprises: A cable data acquisition module, used to acquire the cable rack distance data on both sides of the target position of the overhead cable and the sag arc data of the cable; A pulling tension acquisition module, used to determine the pulling tension of the cable target position according to the wire rack distance data and the sag arc data; A swing amplitude data acquisition module is used to obtain the swing amplitude data of the overhead cable caused by wind force within a preset period; A torque data calculation module, used to calculate the torque data received by the target position according to the swing amplitude data and the droop arc data; A fatigue degree determination module is used to determine the fatigue degree of the overhead cable core at the target position according to the pulling tension and the torque data.

2. The overhead cable core fatigue monitoring device according to claim 1, characterized in that: The device also includes: A rotational inertia acquisition module, used to acquire overhead cable parameters and determine the rotational inertia of the overhead cable according to the overhead cable parameters; Accordingly, the torque data calculation module is specifically used for: Converting the swing period of the overhead cable and the swing amplitude data into swing angular velocity data; The torque data received by the target position is calculated according to the swing angular velocity data, the droop arc data and the moment of inertia.

3. The overhead cable core fatigue monitoring device according to claim 2, characterized in that: The moment of inertia acquisition module is specifically used for: Obtaining the standard moment of inertia of the overhead cable according to the overhead cable parameters; Acquire environmental data of the location where the overhead cable is laid; wherein the environmental data includes ambient temperature and ambient humidity; The standard moment of inertia is calibrated according to a predetermined calibration coefficient and the environmental data to obtain the moment of inertia of the overhead cable.

4. The overhead cable core fatigue monitoring device according to claim 1, characterized in that: The torque data calculation module is also used for: The torque data is compared with a set threshold value, and if the torque data exceeds the set threshold value, a prompt message indicating that the overhead cable torque is abnormal is generated.

5. The overhead cable core fatigue monitoring device according to claim 1, characterized in that: The fatigue degree determination module is specifically used for: Obtaining the pulling tension and torque data of an overhead cable with known core fatigue degree as a test sample, and constructing a fatigue degree analysis model according to the test sample; The currently collected pulling tension and torque data are input into a pre-built fatigue degree analysis model, and the fatigue degree of the current cable core is determined according to the output result of the fatigue program analysis model.

6. The overhead cable core fatigue monitoring device according to claim 1, characterized in that: The fatigue level determination module is further used for: Obtain fatigue history records of the overhead cable; Calculate the number of historical fatigue occurrences and the historical fatigue degree of the overhead cable core in the fatigue degree historical records; When the number of historical fatigue times and the historical fatigue degree exceed preset conditions, it is determined that the cable core is in a severe fatigue state.

7. The overhead cable core fatigue monitoring device according to claim 6, characterized in that: The device also includes: An image acquisition module, used to acquire image information of the target location; Recognizing the image information and extracting characteristic data of the overhead cable; Accordingly, the cable data acquisition module is specifically used for: Acquire sag radian data in the characteristic data; The fatigue degree determination module is specifically used for: Acquiring the damage degree of the outer surface of the overhead cable in the characteristic data; When the number of historical fatigue times, the historical fatigue degree, and the degree of damage to the outer surface of the overhead cable exceed preset conditions, it is determined that the cable core is in a severe fatigue state.

8. A method for monitoring the fatigue of an overhead cable core, characterized in that: The method comprises: Acquire the cable rack distance data on both sides of the target position of the overhead cable and the sag arc data of the cable; Determining the pulling tension of the cable target position according to the cable rack distance data and the sag arc data; Obtaining swing amplitude data of the overhead cable caused by wind force within a preset period; Calculating the torque data applied to the target position according to the swing amplitude data and the droop arc data; The fatigue degree of the overhead cable core at the target location is determined according to the pulling tension and the torque data.

9. The method for monitoring core fatigue of an overhead cable according to claim 8, characterized in that: Before calculating the torque data applied to the target position, the method further includes: Acquiring overhead cable parameters, and determining the moment of inertia of the overhead cable according to the overhead cable parameters; Correspondingly, the torque data applied to the target position is calculated according to the swing amplitude data and the droop arc data, including: Converting the swing period of the overhead cable and the swing amplitude data into swing angular velocity data; The torque data received by the target position is calculated according to the swing angular velocity data, the droop arc data and the moment of inertia.

10. An electronic device, characterized in that: It comprises a processor, a memory and a program or instruction stored in the memory and executable on the processor, wherein when the program or instruction is executed by the processor, the steps of the method for monitoring the core fatigue of an overhead cable as described in any one of claims 8 to 9 are implemented.

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