Online monitoring device, method and equipment for looseness of cable connector

Abstract

The invention discloses an online monitoring device, method and equipment for cable connector looseness, and belongs to the technical field of electric power facilities. The device comprises a working parameter acquisition module used for acquiring working parameter information of a cable in an operation process; the feature extraction module is used for carrying out characterization processing on the working parameter information to obtain working feature data of the working parameter information; the connection looseness identification module is used for inputting the working characteristic data into a pre-constructed detection model so as to identify whether the cable connector has connection looseness or not; and the maintenance information generation module is used for generating maintenance information of the cable connector according to the working characteristic data under the condition that the cable connector is recognized to be loose in connection. According to the technical scheme, by obtaining the working characteristic data of the working parameter information, real-time accurate monitoring on whether the cable connector has connection looseness or not can be achieved, the fault risk caused by connection looseness is effectively prevented, and therefore normal operation of the cable is ensured.

Description

Technical Field

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

[0002] Currently, cable connectors are generally used to connect various cables and equipment, so that the cables can adapt to various laying requirements in various laying scenarios. However, even with a carefully designed cable connection solution, it is difficult to completely avoid the problem of loosening of cable connectors caused by changes in the external environment, shaking caused by the weight of the cable itself, or slight deviations during the installation process.

[0003] Loose cable connectors can reduce signal quality and increase power loss. The resulting local high temperatures can also accelerate corrosion and aging of the cable connectors, ultimately causing contact failure and short circuits. Once a fault occurs, a sudden increase in current may cause equipment damage or even fire. Therefore, accurate and efficient monitoring of loose cable connectors is an urgent problem that needs to be solved by those in the field. Summary of the invention

[0004] The embodiments of the present application provide an online monitoring device, method and equipment for loose cable connectors, with the aim of achieving real-time and accurate monitoring of whether the cable connectors are loosely connected, effectively preventing the risk of failure caused by loose connections, and thus ensuring the normal operation of the cable.

[0005] In a first aspect, an embodiment of the present application provides an online monitoring device for loosening of a cable connector, the device comprising:

[0006] A working parameter acquisition module, used to acquire working parameter information of the cable during operation; wherein the working parameter information includes at least one of working current information, working voltage information and working temperature information;

[0007] A feature extraction module, used for performing feature processing on the working parameter information to obtain working feature data of the working parameter information;

[0008] A loose connection identification module, used for inputting the working characteristic data into a pre-built detection model to identify whether the cable connector has a loose connection;

[0009] The maintenance information generating module is used to generate maintenance information of the cable connector according to the working characteristic data when it is identified that the cable connector has a loose connection.

[0010] In a second aspect, an embodiment of the present application provides an online monitoring method for loosening of a cable connector, the method comprising:

[0011] Acquire the working parameter information of the cable during operation through the working parameter acquisition module; wherein the working parameter information includes at least one of working current information, working voltage information and working temperature information;

[0012] Performing characterization processing on the working parameter information through a feature extraction module to obtain working characteristic data of the working parameter information;

[0013] The working characteristic data is input into a pre-built detection model through a loose connection identification module to identify whether the cable connector has a loose connection;

[0014] When it is identified that the cable connector has a loose connection, the maintenance information generating module generates maintenance information of the cable connector according to the working characteristic data.

[0015] In a third aspect, an embodiment of the present application provides an electronic device, which includes 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.

[0016] In a fourth aspect, an embodiment of the present application provides a readable storage medium, on which a program or instruction is stored, and when the program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented.

[0017] In a fifth aspect, an embodiment of the present application provides a chip, comprising a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run a program or instruction to implement the method described in the first aspect.

[0018] In an embodiment of the present application, a working parameter acquisition module is used to obtain working parameter information of the cable during operation; wherein the working parameter information includes at least one of working current information, working voltage information and working temperature information; a feature extraction module is used to characterize the working parameter information to obtain working feature data of the working parameter information; a loose connection identification module is used to input the working feature data into a pre-built detection model to identify whether the cable connector has a loose connection; a maintenance information generation module is used to generate maintenance information of the cable connector according to the working feature data when it is identified that the cable connector has a loose connection. The above-mentioned online monitoring device for loose cable connectors can realize real-time and accurate monitoring of whether the cable connector has a loose connection by acquiring the working feature data of the working parameter information, effectively prevent the risk of failure caused by loose connection, and thus ensure the normal operation of the cable. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a structural schematic diagram of an online monitoring device for loose cable connectors provided in Example 1 of the present application;

[0020] Figure 2 It is a structural schematic diagram of an online monitoring device for loose cable connectors provided in Embodiment 2 of the present application;

[0021] Figure 3 It is a structural schematic diagram of an online monitoring device for loose cable connectors provided in Embodiment 3 of the present application;

[0022] Figure 4 It is a structural schematic diagram of an online monitoring device for loose cable connectors provided in Embodiment 4 of the present application;

[0023] Figure 5 It is a flow chart of the online monitoring method for loose cable connectors provided in Embodiment 5 of the present application;

[0024] Figure 6 It is a structural diagram of an electronic device provided in Example 6 of the present application. DETAILED DESCRIPTION

[0025] In order to make the purpose, technical scheme 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, rather than to limit the present application. It should also be noted that, for the convenience of description, only the part related to the present application but not all 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 chart describes 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 each operation can be rearranged. The process can be terminated when its operation is completed, but it can also have additional steps not included in the accompanying drawings. The process can correspond to a method, a function, a procedure, a subroutine, a subprogram, etc.

[0026] The following will be combined with the drawings in the embodiments of the present application to clearly describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments in the present application belong to the scope of protection of this application.

[0027] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0028] In the following, in combination with the accompanying drawings, the online monitoring device, method and equipment for loose cable connectors provided in the embodiments of the present application are described in detail through specific embodiments and their application scenarios.

[0029] Embodiment 1

[0030] Figure 1 Schematic diagram of the structure of the online monitoring device for loose cable connectors provided in the first embodiment of the present application. Figure 1 As shown, the device comprises:

[0031] The working parameter acquisition module 110 is used to obtain working parameter information of the cable during operation; wherein the working parameter information includes at least one of working current information, working voltage information and working temperature information;

[0032] A feature extraction module 120 is used to perform feature processing on the working parameter information to obtain working feature data of the working parameter information;

[0033] A loose connection identification module 130 is used to input the working characteristic data into a pre-built detection model to identify whether the cable connector has a loose connection;

[0034] The maintenance information generating module 140 is used to generate maintenance information of the cable connector according to the working characteristic data when it is identified that the cable connector has a loose connection.

[0035] This application is applicable to scenarios where cables are connected and operated using cable connectors. Specifically, the acquisition and characterization of working parameter information, identification of loose connections, and generation of maintenance information can be performed by intelligent terminal devices. Workers can perform maintenance on loosely connected cable connectors in a timely manner based on the maintenance information to ensure the normal operation of the cable.

[0036] Based on the above usage scenarios, it can be understood that the executor of the present application can be a smart terminal device, such as a desktop computer, a laptop computer, a mobile phone, a tablet computer, and interactive multimedia, etc., and no excessive limitations are made here.

[0037] The operating parameter acquisition module 110 is used to obtain operating parameter information of the cable during operation.

[0038] A cable is a device used to transmit power or signals. Cable connectors are important components used to connect different cables or to connect cables to other electrical devices. Common types include plug connectors, terminal connectors, transition connectors, branch connectors, and joint connectors.

[0039] The working parameter information may refer to the parameters related to the working performance presented by the cable during operation, and may include working current information, working voltage information, working temperature information, etc. Specifically, the working current information may refer to the amount of charge passing through the conductor cross section per unit time during the operation of the cable, and the working current information may be obtained by using devices such as ammeters, current transformers, or current sensors; the working voltage information may refer to the potential difference applied to the two ends of the conductor during the operation of the cable, and the working voltage information may be obtained by using devices such as voltmeters, voltage transformers, or voltage sensors; the working temperature information may be a physical quantity that describes the thermal state of the cable during the operation, and the working temperature information may be obtained by using devices such as thermocouples, thermal resistors, or temperature sensors.

[0040] The feature extraction module 120 is used to perform feature processing on the working parameter information to obtain working feature data of the working parameter information.

[0041] Characterization processing may refer to an operation of extracting data indicating that a cable connector may have a loose connection from the operating parameter information. The data obtained after characterization processing of the operating parameter information is the operating characteristic data.

[0042] Depending on the different contents of the working parameter information, the contents of the obtained working characteristic data are also different accordingly. Specifically, the method of characterizing the working parameter information to obtain the working characteristic data of the working parameter information can be adopted: when the working parameter information includes working current information and / or working voltage information, time domain analysis is performed on the working current information and / or working voltage information to obtain the fluctuation characteristic data of the working current information and / or working voltage information over time; when the working parameter information includes working current information and working voltage information, resistance characteristic data is determined based on the working current information and working voltage information; when the working parameter information includes working temperature information, high temperature duration characteristic data of the working temperature information is determined.

[0043] The loose connection identification module 130 is used to input the working characteristic data into a pre-built detection model to identify whether the cable connector has a loose connection.

[0044] The detection model may be a computational model that can identify whether the cable connector has a loose connection based on the input working characteristic data. The loose connection of the cable connector may refer to the situation where the cable connector fails to maintain a stable contact state, resulting in a loose connection at the cable connection.

[0045] Depending on the different working characteristic data, the method of identifying whether the cable connector has a loose connection is also different accordingly. Specifically, if the input data of the detection model is the fluctuation characteristic data of the working current information and / or the working voltage information that changes with time, the detection model compares the fluctuation characteristic data of the working current information and / or the working voltage information that changes with time with the preset fluctuation characteristics, and identifies that the cable connector has a loose connection when the fluctuation characteristic data of the working current information and / or the working voltage information that changes with time is similar to the preset fluctuation characteristics; if the input data of the detection model is the resistance characteristic data, the detection model compares the resistance characteristic data with the preset resistance threshold, and identifies that the cable connector has a loose connection when the resistance characteristic data exceeds the preset resistance threshold; if the input data of the detection model is the high temperature duration characteristic data, the detection model compares the high temperature duration characteristic data with the preset duration threshold, and identifies that the cable connector has a loose connection when the high temperature duration characteristic data exceeds the preset duration threshold.

[0046] The maintenance information generating module 140 is used to generate maintenance information of the cable connector according to the working characteristic data when it is identified that the cable connector has a loose connection.

[0047] The maintenance information of the cable connector can be used to warn the staff that the cable connector has a loose connection and needs timely maintenance. The specific content of the maintenance information of the cable connector can include working characteristic data and the degree of loose connection and the location of the loose connection of the cable connector.

[0048] The maintenance information of the cable connector is generated according to the working characteristic data. A prompt window may be popped up on the display device of the control terminal equipment. The prompt window displays the working characteristic data and specific contents such as the degree of loose connection and the location of the loose connection of the cable connector.

[0049] In the example of the present application, the working parameter acquisition module is used to obtain the working parameter information of the cable during operation; wherein the working parameter information includes at least one of working current information, working voltage information and working temperature information; the feature extraction module is used to characterize the working parameter information to obtain the working characteristic data of the working parameter information; the loose connection identification module is used to input the working characteristic data into a pre-built detection model to identify whether the cable connector has a loose connection; the maintenance information generation module is used to generate maintenance information of the cable connector according to the working characteristic data when it is identified that the cable connector has a loose connection. This technical solution can realize real-time and accurate monitoring of whether the cable connector has a loose connection by acquiring the working characteristic data of the working parameter information, effectively prevent the risk of failure caused by loose connection, and thus ensure the normal operation of the cable.

[0050] Embodiment 2

[0051] Figure 2 It is a structural diagram of the online monitoring device for loose cable connectors provided in Example 2 of the present application. This solution has made better improvements on the basis of the above-mentioned embodiments, and the specific improvements are as follows: the feature extraction module is specifically used to: when the working parameter information includes working current information and / or working voltage information, perform time domain analysis on the working current information and / or working voltage information to obtain fluctuation characteristic data of the working current information and / or working voltage information changing with time; wherein the fluctuation characteristic data includes fluctuation amplitude and fluctuation frequency; correspondingly, the loose connection identification module is specifically used to: when the fluctuation characteristic data of the working current information and / or working voltage information changing with time is similar to the preset fluctuation characteristic, identify that the cable connector has a loose connection.

[0052] like Figure 2 As shown, the device comprises:

[0053] The working parameter acquisition module 210 is used to obtain working parameter information of the cable during operation; wherein the working parameter information includes at least one of working current information, working voltage information and working temperature information;

[0054] A feature extraction module 220 is used to perform feature processing on the working parameter information to obtain working feature data of the working parameter information;

[0055] A loose connection identification module 230 is used to input the working characteristic data into a pre-built detection model to identify whether the cable connector has a loose connection;

[0056] The maintenance information generating module 240 is used to generate maintenance information of the cable connector according to the working characteristic data when it is identified that the cable connector has a loose connection.

[0057] The feature extraction module 220 is specifically used for:

[0058] In the case where the working parameter information includes working current information and / or working voltage information, time domain analysis is performed on the working current information and / or working voltage information to obtain fluctuation characteristic data of the working current information and / or working voltage information changing with time; wherein the fluctuation characteristic data includes fluctuation amplitude and fluctuation frequency;

[0059] The loose connection identification module 230 is specifically used for:

[0060] When the fluctuation characteristic data of the working current information and / or the working voltage information changing with time is similar to the preset fluctuation characteristics, it is identified that the cable connector has a loose connection.

[0061] Fluctuation characteristic data may be data used to describe the changing trend of the working current information and / or the working voltage information over time, and may include fluctuation amplitude and fluctuation frequency. Among them, the fluctuation amplitude may refer to the difference between the extreme value (peak value or valley value) and the average value of the working current information and / or the working voltage information; the fluctuation frequency may refer to the number of periodic fluctuations experienced by the working current information and / or the working voltage information in a unit time. The method of time domain analysis of the working current information or the working voltage information may adopt a plane rectangular coordinate system with time as the horizontal axis and the working current information or the working voltage information as the vertical axis, and mark points in the plane rectangular coordinate system according to the obtained working current information or the working voltage information, fit all the marks into a smooth curve to obtain the fluctuation curve of the working current information or the working voltage information, calculate the average value of the fluctuation curve, determine the deviation amplitude of each peak and trough on the fluctuation curve relative to the average value, and take the maximum deviation amplitude as the fluctuation amplitude of the working current information or the working voltage information, count the number of complete waveform cycles on the fluctuation curve, and calculate the average number of cycles per second according to the sampling duration of the working current information or the working voltage information, which is the fluctuation frequency.

[0062] The preset fluctuation characteristics can be pre-set based on historical data or work experience, and may be presented when the cable connector has a loose connection. It is understandable that a loose connection in the cable connector may cause unstable current transmission, thereby causing the working current information or the working voltage information to fluctuate or jump significantly, that is, the fluctuation amplitude and / or fluctuation frequency are large. In order to identify whether the fluctuation characteristic data of the working current information and / or the working voltage information that changes over time are similar to the preset fluctuation characteristics, the difference in fluctuation amplitude and the difference in fluctuation frequency between the fluctuation characteristic data and the preset fluctuation characteristics can be calculated. If at least one of the two differences is less than a preset threshold, it is identified that the fluctuation characteristic data of the working current information and / or the working voltage information that changes over time are similar to the preset fluctuation characteristics, and it is identified that the cable connector has a loose connection.

[0063] The following is a sample code for identifying whether a cable connector has a loose connection based on the operating current information and / or the operating voltage information:

[0064] import numpy as np

[0065] import matplotlib.pyplot as plt

[0066] def detect_cable_connector_looseness(current_data,voltage_data,time_data,threshold_amplitude,threshold_frequency):

[0067] """

[0068] Check whether the cable connector is loose

[0069] parameter:

[0070] current_data(ndarray): working current data

[0071] voltage_data(ndarray): working voltage data

[0072] time_data (ndarray): time data

[0073] threshold_amplitude(float): Preset threshold of fluctuation amplitude

[0074] threshold_frequency(float): Preset threshold of fluctuation frequency

[0075] return:

[0076] bool: True means the connection is loose, False means it is normal

[0077] """

[0078] #Perform time domain analysis on working current data

[0079] current_mean=np.mean(current_data)

[0080] current_peaks=find_peaks(current_data)[0]

[0081] current_amplitude=np.max(np.abs(current_data[current_peaks]-current_mean))

[0082] current_period=np.mean(np.diff(time_data[current_peaks]))

[0083] current_frequency=1 / current_period

[0084] #Perform time domain analysis on working voltage data

[0085] voltage_mean=np.mean(voltage_data)

[0086] voltage_peaks=find_peaks(voltage_data)[0]

[0087] voltage_amplitude=np.max(np.abs(voltage_data[voltage_peaks]-voltage_mean))

[0088] voltage_period=np.mean(np.diff(time_data[voltage_peaks]))

[0089] voltage_frequency=1 / voltage_period

[0090] #Compare with preset fluctuation characteristics

[0091] amplitude_diff=max(current_amplitude,voltage_amplitude)-max(threshold_amplitude,1e-6)

[0092] frequency_diff=max(current_frequency,voltage_frequency)-max(threshold_frequency,1e-6)

[0093] #Judge whether there is a loose connection

[0094] if amplitude_diff>0 or frequency_diff>0:

[0095] return True

[0096] else:

[0097] return False

[0098] #Example usage

[0099] current_data=np.random.normal(10,1,1000)

[0100] voltage_data=np.random.normal(220,5,1000)

[0101] time_data=np.linspace(0,10,1000)

[0102] threshold_amplitude = 0.5

[0103] threshold_frequency = 0.1

[0104] is_loose = detect_cable_connector_looseness(current_data, voltage_data,time_data, threshold_amplitude, threshold_frequency)

[0105] print(f"Is the cable connector loose: {is_loose}")

[0106] In this technical solution, optionally, the device further includes:

[0107] A connection looseness determination module, for determining the connection looseness of the cable connector according to the fluctuation characteristic data and a pre-established correlation relationship between the preset fluctuation characteristic and the looseness degree, when the cable connector is identified as having a loose connection;

[0108] Accordingly, the maintenance information generating module is specifically used for:

[0109] When it is identified that the cable connector has a loose connection, maintenance information of the cable connector is generated according to the degree of the loose connection.

[0110] The degree of looseness may be a normalized parameter indicating the severity of the looseness of the cable connector connection. The association between the preset fluctuation feature and the degree of looseness may refer to a relationship in which a degree of looseness can be uniquely determined according to the preset fluctuation feature. It is understandable that the greater the fluctuation amplitude and / or fluctuation frequency in the preset fluctuation feature, the greater the associated degree of looseness.

[0111] The method for determining the degree of looseness of the connection of the cable connector can be to determine the degree of fluctuation associated with a preset fluctuation feature with similar fluctuation feature data based on the correlation between the preset fluctuation feature and the degree of looseness, and adjust the degree of fluctuation based on the difference in fluctuation amplitude and fluctuation frequency between the fluctuation feature data and the preset fluctuation feature to obtain the degree of looseness of the connection of the cable connector.

[0112] The maintenance information of the cable connector is generated according to the degree of connection looseness by controlling the display device of the terminal equipment to pop up a prompt window, which displays the fluctuation characteristic data and the degree of connection looseness of the cable connector and other specific contents.

[0113] The benefit of this arrangement of the present invention is that by determining the degree of looseness of the cable connector connection based on the fluctuation characteristic data, it can help the staff to take maintenance measures corresponding to the degree of looseness of the cable connector connection, thereby improving the maintenance efficiency of the cable connector.

[0114] The advantage of such a setting of the present solution is that by determining the fluctuation characteristic data of the working current information and / or the working voltage information changing over time, it is possible to accurately identify whether the cable connector has a loose connection, thereby improving the recognition sensitivity and accuracy.

[0115] Embodiment 3

[0116] Figure 3It is a structural diagram of the online monitoring device for loose cable connectors provided in Example 3 of the present application. This solution makes better improvements on the basis of the above-mentioned embodiments, and the specific improvements are as follows: the feature extraction module is specifically used to: when the working parameter information includes working current information and working voltage information, determine the resistance feature data according to the working current information and the working voltage information; correspondingly, the loose connection identification module is specifically used to: when the resistance feature data exceeds the preset resistance threshold, identify that the cable connector has a loose connection.

[0117] like Figure 3 As shown, the device comprises:

[0118] The working parameter acquisition module 310 is used to obtain working parameter information of the cable during operation; wherein the working parameter information includes at least one of working current information, working voltage information and working temperature information;

[0119] A feature extraction module 320 is used to perform feature processing on the working parameter information to obtain working feature data of the working parameter information;

[0120] A loose connection identification module 330 is used to input the working characteristic data into a pre-built detection model to identify whether the cable connector has a loose connection;

[0121] The maintenance information generating module 340 is used to generate maintenance information of the cable connector according to the working characteristic data when it is identified that the cable connector has a loose connection.

[0122] The feature extraction module 320 is specifically used for:

[0123] In a case where the operating parameter information includes operating current information and operating voltage information, determining resistance characteristic data according to the operating current information and the operating voltage information;

[0124] The loose connection identification module 330 is specifically used for:

[0125] When the resistance characteristic data exceeds a preset resistance threshold, it is identified that the cable connector has a loose connection.

[0126] The resistance characteristic data may refer to the resistance value of the cable. It is understandable that a loose connection of the cable connector may increase the contact impedance of the cable, thereby increasing the resistance value of the cable. The resistance characteristic data may be determined by dividing the operating voltage information and the operating current information to obtain the resistance characteristic data.

[0127] The preset resistance threshold may be a preset lower limit of resistance characteristic data indicating that the cable connector may have a loose connection. The preset resistance threshold may be preset according to the conductor parameters or saturation voltage and current of the cable. If the resistance characteristic data is greater than the preset resistance threshold, it is identified that the cable connector has a loose connection.

[0128] In this technical solution, optionally, the device further includes:

[0129] A connection looseness determination module, used to determine the connection looseness of the cable connector according to the resistance characteristic data and the preset resistance threshold value when it is identified that the cable connector has a connection looseness;

[0130] Accordingly, the maintenance information generating module is specifically used for:

[0131] When it is identified that the cable connector has a loose connection, maintenance information of the cable connector is generated according to the degree of the loose connection.

[0132] The method of determining the degree of looseness of the cable connector connection based on the resistance characteristic data and the preset resistance threshold can be adopted by calculating the difference between the resistance characteristic data and the preset resistance threshold, and calculating the ratio of the difference to the preset resistance threshold as the degree of looseness of the cable connector connection.

[0133] The maintenance information of the cable connector can be generated according to the degree of connection looseness by controlling the display device of the terminal device to pop up a prompt window, which displays the resistance characteristic data and the degree of connection looseness of the cable connector and other specific contents.

[0134] The following is a sample code for identifying whether a cable connector is loosely connected and determining the degree of looseness based on the working current information and the working voltage information:

[0135] import numpy as np

[0136] def detect_cable_connector_looseness(voltage_data,current_data,resistance_threshold):

[0137] """

[0138] Check whether the cable connector is loose

[0139] parameter:

[0140] voltage_data(ndarray): working voltage data

[0141] current_data(ndarray): working current data

[0142] resistance_threshold(float): preset resistance threshold

[0143] return:

[0144] float: connection looseness (0-1), 0 means normal, 1 means severe looseness

[0145] """

[0146] # Calculate resistance characteristic data

[0147] resistance=voltage_data / current_data

[0148] #Compare with preset resistance threshold

[0149] resistance_diff=resistance-resistance_threshold

[0150] #Calculate the degree of connection looseness

[0151] looseness_degree=np.clip(resistance_diff / resistance_threshold,0,1)

[0152] return looseness_degree

[0153] #Example usage

[0154] voltage_data=np.random.normal(220,5,1000)

[0155] current_data=np.random.normal(10,0.5,1000)

[0156] resistance_threshold=22#Preset resistance threshold

[0157] looseness_degree=detect_cable_connector_looseness(voltage_data,current_data,resistance_threshold)

[0158] print(f"Cable connector connection looseness degree: {looseness_degree:.2f}")

[0159] #Generate maintenance information

[0160] if looseness_degree>0.8:

[0161] print("Warning: The cable connector is seriously loose and needs immediate repair!")

[0162] elif looseness_degree>0.5:

[0163] print("Tip: The cable connector connection status needs to be improved, it is recommended to maintain it as soon as possible")

[0164] else:

[0165] print("The cable connector is in good condition and does not require maintenance")

[0166] The benefit of this arrangement of the present invention is that by determining the degree of looseness of the cable connector connection based on the resistance characteristic data, it can help the staff to take maintenance measures corresponding to the degree of looseness of the cable connector connection, thereby improving the maintenance efficiency of the cable connector.

[0167] The advantage of such a setting of the present scheme is that by determining the resistance characteristic data according to the working current information and the working voltage information, it is possible to accurately identify whether the cable connector has a loose connection, thereby improving the recognition sensitivity and accuracy.

[0168] Embodiment 4

[0169] Figure 4 It is a structural diagram of the online monitoring device for loose cable connectors provided in the fourth embodiment of the present application. This solution makes a better improvement on the basis of the above embodiment, and the specific improvement is as follows: the feature extraction module is specifically used to: when the working parameter information includes working temperature information, determine the high temperature duration feature data of the working temperature information; correspondingly, the loose connection identification module is specifically used to: when the high temperature duration feature data exceeds a preset duration threshold, identify that the cable connector has a loose connection.

[0170] like Figure 4 As shown, the device comprises:

[0171] The working parameter acquisition module 410 is used to obtain working parameter information of the cable during operation; wherein the working parameter information includes at least one of working current information, working voltage information and working temperature information;

[0172] A feature extraction module 420 is used to perform feature processing on the working parameter information to obtain working feature data of the working parameter information;

[0173] A loose connection identification module 430 is used to input the working characteristic data into a pre-built detection model to identify whether the cable connector has a loose connection;

[0174] The maintenance information generating module 440 is used to generate maintenance information of the cable connector according to the working characteristic data when it is identified that the cable connector has a loose connection.

[0175] The feature extraction module 420 is specifically used for:

[0176] In a case where the working parameter information includes working temperature information, determining high temperature duration characteristic data of the working temperature information;

[0177] Accordingly, the loose connection identification module 430 is specifically used for:

[0178] Wherein, when the high temperature duration characteristic data exceeds a preset duration threshold, it is identified that the cable connector has a loose connection.

[0179] The high temperature duration characteristic data may refer to the length of time that the working temperature information exceeds the preset temperature. It is understandable that a loose connection of the cable connector may increase the resistance value of the cable, thereby causing the working temperature information of the loosely connected cable connector to exceed the preset temperature. The preset temperature may be a pre-set lower limit of the working temperature information indicating that the working temperature information is too high.

[0180] The method for determining the high-temperature duration characteristic data of the working temperature information is to record the time point when the working temperature information exceeds the preset temperature and the time point when the working temperature information falls back to less than the preset temperature (if the working temperature information does not fall back to less than the preset temperature, then this time point is the current time point), and calculate the duration between these two time points as the high-temperature duration characteristic data.

[0181] The preset duration threshold may be a preset lower limit of high temperature duration characteristic data indicating that the operating temperature information continues to be too high. The preset duration threshold may be preset according to the insulation layer parameters of the cable.

[0182] In this technical solution, optionally, the device further includes:

[0183] A loose connection position determination module, for determining, when it is identified that the cable connector has a loose connection, the cable position where the high temperature duration characteristic data exceeds a preset duration threshold as the loose connection position;

[0184] Accordingly, the maintenance information generating module is specifically used for:

[0185] When it is identified that the cable connector is loosely connected, maintenance information of the cable connector is generated according to the loose connection position.

[0186] The cable position where the high temperature duration characteristic data exceeds the preset duration threshold is the cable position where the operating temperature information is continuously too high, which may be the position where the cable connector is loosely connected. Therefore, the cable position where the high temperature duration characteristic data exceeds the preset duration threshold can be determined as the loose connection position.

[0187] The maintenance information of the cable connector is generated according to the loose connection position. A display device of the control terminal device can be used to pop up a prompt window, which displays high temperature duration characteristic data and specific contents such as the loose connection position of the cable connector.

[0188] The benefit of this arrangement of the present invention is that by determining the location of the loose connection based on the high temperature duration characteristic data, it can help the staff quickly determine the location of the cable that needs maintenance, thereby improving the maintenance efficiency of the cable connector.

[0189] The advantage of such a setting of the present scheme is that by determining the high temperature duration characteristic data of the working temperature information, it is possible to accurately identify whether the cable connector has a loose connection, thereby improving the recognition sensitivity and accuracy.

[0190] Embodiment 5

[0191] Figure 5 1 is a flow chart of the online monitoring method for loose cable connectors provided in Embodiment 5 of the present application. Figure 5 As shown, the specific steps include:

[0192] S501, obtaining working parameter information of the cable during operation through a working parameter acquisition module; wherein the working parameter information includes at least one of working current information, working voltage information and working temperature information;

[0193] S502, performing feature processing on the working parameter information through a feature extraction module to obtain working feature data of the working parameter information;

[0194] S503, inputting the working characteristic data into a pre-built detection model through a loose connection identification module to identify whether the cable connector has a loose connection;

[0195] S504: When the maintenance information generating module identifies that the cable connector has a loose connection, the maintenance information of the cable connector is generated according to the working characteristic data.

[0196] In an embodiment of the present application, the working parameter information of the cable during operation is obtained through a working parameter acquisition module; wherein the working parameter information includes at least one of working current information, working voltage information and working temperature information; the working parameter information is characterized by a feature extraction module to obtain working characteristic data of the working parameter information; the working characteristic data is input into a pre-built detection model through a loose connection identification module to identify whether the cable connector has a loose connection; and the maintenance information generation module generates maintenance information of the cable connector according to the working characteristic data when it is identified that the cable connector has a loose connection. The above-mentioned online monitoring method for loose cable connectors can realize real-time and accurate monitoring of whether the cable connector has a loose connection by acquiring the working characteristic data of the working parameter information, effectively preventing the risk of failure caused by loose connection, thereby ensuring the normal operation of the cable.

[0197] The online monitoring method for loose cable connectors provided in the embodiment of the present application corresponds to the online monitoring device for loose cable connectors provided in the above-mentioned embodiment, and has the same functional modules and beneficial effects. To avoid repetition, they will not be described here.

[0198] Embodiment 6

[0199] like Figure 6 As shown, an embodiment of the present application further 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 online monitoring device for loose cable connectors is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be described here.

[0200] 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.

[0201] Embodiment 7

[0202] 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, each process of the above-mentioned online monitoring device for loose cable connectors is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0203] The processor is a 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), a random access memory (RAM), a magnetic disk or an optical disk.

[0204] Embodiment 8

[0205] 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 online monitoring device for loose cable connectors, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0206] 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.

[0207] It should be noted that, in this article, the terms "comprise", "include" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise one..." do not exclude the presence of other identical elements in the process, method, article or device including the element. In addition, it should be pointed out 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 reverse 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.

[0208] 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 a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, 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, a disk, or an optical disk), and includes a number of instructions for a terminal (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present application.

[0209] 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 the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.

[0210] The above are only preferred embodiments of the present application and the technical principles used. The present application is not limited to the specific embodiments described herein, and various obvious changes, readjustments and substitutions that can be made by those skilled in the art will not deviate from the scope of protection of the present application. Therefore, although the present application is 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, and the scope of the present application is determined by the scope of the claims.

Claims

1. An online monitoring device for loose cable connectors, characterized in that: The device comprises: A working parameter acquisition module, used to acquire working parameter information of the cable during operation; wherein the working parameter information includes at least one of working current information, working voltage information and working temperature information; A feature extraction module, used for performing feature processing on the working parameter information to obtain working feature data of the working parameter information; A loose connection identification module, used for inputting the working characteristic data into a pre-built detection model to identify whether the cable connector has a loose connection; The maintenance information generating module is used to generate maintenance information of the cable connector according to the working characteristic data when it is identified that the cable connector has a loose connection.

2. The online monitoring device for loose cable connector according to claim 1, characterized in that: The feature extraction module is specifically used for: In the case where the working parameter information includes working current information and / or working voltage information, time domain analysis is performed on the working current information and / or working voltage information to obtain fluctuation characteristic data of the working current information and / or working voltage information changing with time; wherein the fluctuation characteristic data includes fluctuation amplitude and fluctuation frequency; Accordingly, the loose connection identification module is specifically used for: When the fluctuation characteristic data of the working current information and / or the working voltage information changing with time is similar to the preset fluctuation characteristics, it is identified that the cable connector has a loose connection.

3. The online monitoring device for loose cable connector according to claim 2, characterized in that: The device also includes: A connection looseness determination module, for determining the connection looseness of the cable connector according to the fluctuation characteristic data and a pre-established correlation relationship between the preset fluctuation characteristic and the looseness degree, when the cable connector is identified as having a loose connection; Accordingly, the maintenance information generating module is specifically used for: When it is identified that the cable connector has a loose connection, maintenance information of the cable connector is generated according to the degree of the loose connection.

4. The online monitoring device for loose cable connector according to claim 1, characterized in that: The feature extraction module is specifically used for: In a case where the operating parameter information includes operating current information and operating voltage information, determining resistance characteristic data according to the operating current information and the operating voltage information; Accordingly, the loose connection identification module is specifically used for: When the resistance characteristic data exceeds a preset resistance threshold, it is identified that the cable connector is loosely connected.

5. The online monitoring device for loose cable connector according to claim 4, characterized in that: The device also includes: A connection looseness determination module, used to determine the connection looseness of the cable connector according to the resistance characteristic data and the preset resistance threshold value when it is identified that the cable connector has a connection looseness; Accordingly, the maintenance information generating module is specifically used for: When it is identified that the cable connector has a loose connection, maintenance information of the cable connector is generated according to the degree of the loose connection.

6. The online monitoring device for loose cable connector according to claim 1, characterized in that: The feature extraction module is specifically used for: In a case where the working parameter information includes working temperature information, determining high temperature duration characteristic data of the working temperature information; Accordingly, the loose connection identification module is specifically used for: When the high temperature duration characteristic data exceeds a preset duration threshold, it is identified that the cable connector is loosely connected.

7. The online monitoring device for loose cable connectors according to claim 6, characterized in that: The device also includes: A loose connection position determination module, for determining, when it is identified that the cable connector has a loose connection, the cable position where the high temperature duration characteristic data exceeds a preset duration threshold as the loose connection position; Accordingly, the maintenance information generating module is specifically used for: When it is identified that the cable connector is loosely connected, maintenance information of the cable connector is generated according to the loose connection position.

8. An online monitoring method for loose cable connectors, characterized in that: The method comprises: Acquire the working parameter information of the cable during operation through the working parameter acquisition module; wherein the working parameter information includes at least one of working current information, working voltage information and working temperature information; Performing characterization processing on the working parameter information through a feature extraction module to obtain working characteristic data of the working parameter information; The working characteristic data is input into a pre-built detection model through a loose connection identification module to identify whether the cable connector has a loose connection; When it is identified that the cable connector has a loose connection, the maintenance information generating module generates maintenance information of the cable connector according to the working characteristic data.

9. The online monitoring method for loose cable connector according to claim 8, characterized in that: The working parameter information is subjected to characterization processing by a feature extraction module to obtain working characteristic data of the working parameter information, including: In the case where the working parameter information includes working current information and / or working voltage information, time domain analysis is performed on the working current information and / or working voltage information to obtain fluctuation characteristic data of the working current information and / or working voltage information changing with time; wherein the fluctuation characteristic data includes fluctuation amplitude and fluctuation frequency; Accordingly, the working characteristic data is input into a pre-built detection model through a loose connection identification module to identify whether the cable connector has a loose connection, including: When the fluctuation characteristic data of the working current information and / or the working voltage information changing with time is similar to the preset fluctuation characteristics, it is identified that the cable connector has a loose connection.

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 online monitoring method for loose cable connector as described in any one of claims 8 to 9 are implemented.

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