A method and system for analyzing overheating faults of a cable joint

Abstract

The present invention discloses a method and system for analyzing overheating faults of cable joints. The method clusters target hotspot temperatures of different cable joints based on respective axial temperature change sequences to obtain at least one target hotspot temperature set. Cable joints with the same potential risks can be clustered into the same set as much as possible, thereby improving the accuracy of clustering and facilitating subsequent overheating risk analysis of each cable joint in the set. Furthermore, by defining a two-dimensional coordinate system with a first suspected target hotspot temperature as the horizontal coordinate and a target temperature change degree corresponding to the first suspected target hotspot temperature as the vertical coordinate, it is possible to relatively quickly screen out whether there are isolated coordinate points, thereby determining the cable corresponding to the first suspected target hotspot temperature or the second suspected target hotspot temperature corresponding to the isolated coordinate point.

Description

Technical Field

[0001] The present invention belongs to the technical field of power cables, and in particular relates to a method and system for analyzing overheating faults of cable joints. Background Art

[0002] Power cables are one of the primary means of transmitting electrical energy within power systems. They are primarily responsible for distributing electricity from substations to various end users, including residential, commercial, and industrial areas, ensuring efficient distribution of electricity. Compared to overhead lines, underground cables are less susceptible to weather conditions such as wind, rain, and snow, preventing line failures caused by climate change. This improves power supply reliability and system stability, while also avoiding the visual and environmental pollution associated with laying conductors in the air. They are a crucial component of urban power supply systems.

[0003] The insulation performance of cable joints is one of the decisive factors affecting their ability to transmit electrical energy, and temperature rise is a key factor affecting their insulation performance and safe operation. Currently, overheating fault analysis for cable joints often uses a temperature threshold approach. When the measured temperature of a cable joint exceeds the threshold, the joint is considered to have an overheating fault. If the temperature does not exceed the threshold, the joint is considered to have no overheating fault. This approach often overlooks the risk of overheating, resulting in situations where the temperature of the cable joint gradually rises but does not exceed the limit. Summary of the Invention

[0004] The present invention provides a method and system for analyzing overheating faults of a cable joint, which are used to solve the technical problem that it is impossible to perform overheating risk analysis on a cable joint that has not exceeded a temperature limit.

[0005] In a first aspect, the present invention provides a method for analyzing an overheating fault of a cable connector, comprising:

[0006] Obtaining a load current of the cable body and a temperature of at least one surface characteristic point of the cable body, and inputting the load current and the temperature of at least one surface characteristic point into a preset body transient thermal circuit model, solving the body transient thermal circuit model to obtain a characteristic point temperature distribution of the cable conductor in the cable body;

[0007] According to the characteristic point temperature distribution, a preset cable joint axial fitting function is used to invert and obtain an inverted hot spot temperature of the cable joint connected to the cable body;

[0008] Obtaining the measured hotspot temperature of the cable joint, and correcting the measured hotspot temperature using a preset temperature correction strategy based on the inverted hotspot temperature to obtain a target hotspot temperature;

[0009] Determining whether the target hotspot temperature is greater than a first preset temperature threshold;

[0010] If it is not greater than the first preset temperature threshold, determining the axial temperature change sequence of the cable conductors in the different cable bodies according to the temperature distribution of the characteristic points of the cable conductors in the different cable bodies, and clustering the target hotspot temperatures of the different cable joints based on each axial temperature change sequence to obtain at least one target hotspot temperature set;

[0011] selecting a target hotspot temperature from each target hotspot temperature set according to a preset selection rule, defining the target hotspot temperature as a first suspected target hotspot temperature, comparing each first suspected target hotspot temperature to obtain a first comparison result, and determining whether a first suspected target hotspot temperature is abnormal based on the first comparison result;

[0012] If a first suspected target hotspot temperature is abnormal, reselect another target hotspot temperature from a target hotspot temperature set in which the first suspected target hotspot temperature is located, define the another target hotspot temperature as a second suspected target hotspot temperature, compare the second suspected target hotspot temperature with the other first suspected target hotspot temperatures to obtain a second comparison result, and determine whether the second suspected target hotspot temperature is abnormal based on the second comparison result;

[0013] If the second questionable target hotspot temperature is abnormal, it is determined that the cable connectors corresponding to the respective target hotspot temperatures in the target hotspot temperature set all have an overheating risk.

[0014] In a second aspect, the present invention provides a cable connector overheating fault analysis system, comprising:

[0015] a solution module configured to obtain a load current of the cable body and a temperature of at least one surface characteristic point of the cable body, input the load current and the temperature of at least one surface characteristic point into a preset body transient thermal circuit model, and solve the body transient thermal circuit model to obtain a temperature distribution of characteristic points of the cable conductor in the cable body;

[0016] an inversion module configured to obtain an inverted hotspot temperature of the cable joint connected to the cable body by using a preset cable joint axial fitting function according to the characteristic point temperature distribution;

[0017] a correction module configured to obtain the measured hotspot temperature of the cable joint, and correct the measured hotspot temperature using a preset temperature correction strategy according to the inverted hotspot temperature to obtain a target hotspot temperature;

[0018] a judgment module configured to judge whether the target hotspot temperature is greater than a first preset temperature threshold;

[0019] a clustering module configured to, if the temperature is not greater than a first preset temperature threshold, determine an axial temperature change sequence of the cable conductors in the different cable bodies based on the temperature distribution of the characteristic points of the cable conductors in the different cable bodies, and cluster the target hotspot temperatures of the different cable joints based on each axial temperature change sequence to obtain at least one target hotspot temperature set;

[0020] a first comparison module configured to select a target hotspot temperature from each target hotspot temperature set according to a preset selection rule, define the target hotspot temperature as a first suspected target hotspot temperature, compare each first suspected target hotspot temperature to obtain a first comparison result, and determine whether a first suspected target hotspot temperature is abnormal based on the first comparison result;

[0021] a second comparison module configured to, if a first suspected target hotspot temperature is abnormal, reselect another target hotspot temperature from a target hotspot temperature set in which the first suspected target hotspot temperature is located, define the another target hotspot temperature as a second suspected target hotspot temperature, compare the second suspected target hotspot temperature with other first suspected target hotspot temperatures to obtain a second comparison result, and determine whether the second suspected target hotspot temperature is abnormal based on the second comparison result;

[0022] The determination module is configured to determine that the cable connectors corresponding to the respective target hotspot temperatures in the target hotspot temperature set are all at risk of overheating if the second suspected target hotspot temperature is abnormal.

[0023] According to a third aspect, an electronic device is provided, comprising: at least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the steps of the cable connector overheating fault analysis method of any embodiment of the present invention.

[0024] In a fourth aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein when the program instructions are executed by a processor, the processor executes the steps of the cable connector overheating fault analysis method of any embodiment of the present invention.

[0025] The overheating fault analysis method and system of the cable joint of the present application cluster the target hotspot temperatures of different cable joints based on each axial temperature change sequence to obtain at least one target hotspot temperature set, and can cluster cable joints with the same potential risks into the same set as much as possible, thereby improving the accuracy of clustering and facilitating the subsequent overheating risk analysis of each cable joint in the set. By defining a two-dimensional coordinate system with the first suspected target hotspot temperature as the horizontal coordinate and the target temperature change degree corresponding to the first suspected target hotspot temperature as the vertical coordinate, it is possible to relatively quickly screen out whether there are isolated coordinate points, thereby determining the cable corresponding to the first suspected target hotspot temperature or the second suspected target hotspot temperature corresponding to the isolated coordinate point. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following is a brief introduction to the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0027] Figure 1 A flow chart of a method for analyzing an overheating fault of a cable connector provided by one embodiment of the present invention;

[0028] Figure 2 A location diagram of characteristic temperature points of a specific embodiment is provided for an embodiment of the present invention;

[0029] Figure 3 A structural block diagram of a cable connector overheating fault analysis system provided by one embodiment of the present invention;

[0030] Figure 4 It is a structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0031] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0032] See also Figure 1 , which shows a flow chart of a cable joint overheating fault analysis method of the present application.

[0033] like Figure 1As shown, the cable connector overheating fault analysis method includes the following steps:

[0034] Step S101, obtain the load current of the cable body and the temperature of at least one surface characteristic point of the cable body, and input the load current and the temperature of at least one surface characteristic point into a preset body transient thermal circuit model, and solve the body transient thermal circuit model to obtain the characteristic point temperature distribution of the cable conductor in the cable body.

[0035] In this step, the transient thermal circuit model can effectively predict the temperature distribution under dynamic load by simplifying the cable heat transfer process into a circuit network.

[0036] The transient thermal circuit model is an equivalent circuit model used to describe the temperature changes of cables under dynamic load conditions. It simplifies the heat transfer characteristics of each cable material layer (such as conductor, insulation, and filler) into thermal resistance (representing steady-state heat dissipation capacity) and thermal capacitance (representing transient absorption and heat dissipation inertia), constructing a circuit-like thermal network model. For example, the transient thermal circuit model for a three-core cable includes the following key parameters:

[0037] Thermal resistance (R): Characterizes the material's resistance to heat flow, such as the thermal resistance of the insulation layer and the thermal resistance of air convection.

[0038] Heat Capacity (C): Characterizes the ability of a material to store heat, such as the heat capacity of conductors and insulation layers.

[0039] Heat source (Qs): Joule heat generated by the load current, expressed as (I is the current and R is the conductor resistance).

[0040] Based on the thermal circuit model, write the thermal balance equation according to the law of conservation of energy (similar to KCL in circuits). For example:

[0041]

[0042] in, is the ambient temperature, is the characteristic point temperature, and t is the time.

[0043] Thermal resistance and heat capacity calculation: Calculate the R and C of each layer through material parameters (thermal conductivity, specific heat capacity, density) and geometric dimensions (thickness, surface area).

[0044] Equivalent contact thermal resistance: Inverse simulation of the effect of joint contact resistance on temperature.

[0045] Numerical methods (such as finite element method and Euler method) are used to solve the thermal differential equation to obtain the temperature variation of each node over time. For example:

[0046] Use Laplace transform to convert time domain equations into frequency domain equations to simplify calculations.

[0047] The discretized temperature field is solved by iterative methods or matrix operations.

[0048] Step S102 : Based on the characteristic point temperature distribution, a preset cable joint axial fitting function is used to invert and obtain an inverted hot spot temperature of the cable joint connected to the cable body.

[0049] In this step, the conductor temperature of the first characteristic point and the conductor temperature of the second characteristic point are respectively selected in the characteristic point temperature distribution; the conductor temperature of the first characteristic point and the conductor temperature of the second characteristic point are input into the cable joint axial fitting function to obtain the inverse hotspot temperature of the cable joint connected to the cable body.

[0050] It's important to note that when fitting the axial fitting function for a cable joint, the number of characteristic points determines the number of terms in the fitting expression. If there's only one characteristic point, the conductor temperature equals the hotspot temperature of the cable joint, which doesn't correspond to reality. Therefore, at least two characteristic points are necessary. Excessive characteristic points can lead to overfitting. In practical applications, placing too many temperature sensors on the cable surface is challenging, and simultaneously compromising the reliability of the overall temperature measurement system can compromise the reliability of the system.

[0051] The position of the characteristic point from the cable joint determines the coefficient of the term. Based on field surveys, a certain distance is maintained on both sides of the intermediate joint in the cable trench. Therefore, when determining the distance between the characteristic point and the cable joint, it is important to consider, on the one hand, the distribution of the measurement points as much as possible to reflect the influence of both the heat flow at the cable joint and the radial heat flow in the cable itself; on the other hand, it is important to ensure that the distance is not too far, as this will affect practical engineering applications.

[0052] Goodness of fit It refers to the degree of fit of the regression line to the observed value, that is:

[0053] ,

[0054] In the formula, y is the value to be fitted, is the mean, is the fitted value, is the number of measuring points. The closer it is to 1, the higher the fitting accuracy. The goodness of fit characterizes the fitting accuracy of the axial fitting function of the cable connector.

[0055] Defining Sensitivity Coefficients is the maximum absolute value of each coefficient in the axial fitting function of the cable connector, that is:

[0056] ,

[0057] Where, is the coefficient of the axial inversion function;

[0058] The input of the cable joint axial inversion is the conductor temperature at several points, and the output is the hot spot temperature. The thermal circuit model calculation inevitably has errors, and substituting it into the axial inversion formula will increase the error. The increase is the absolute value of the coefficient of the inversion function. Obviously, the larger the coefficient, the worse the anti-interference ability and the smaller the robustness of the model. Therefore, the sensitivity coefficient Characterizes the robustness of the inversion function.

[0059] The total length of the cable joint is 1.4 m. Beyond 2 m from the center of the joint, the axial heat flow at the joint has minimal impact on the cable itself. Therefore, five points along the conductor axis were selected for optimization. These points were located at 0.1 m, 0.3 m, 0.6 m, 1.2 m, and 2.0 m from the joint end, respectively. These points are referred to as characteristic points. These points adhere to several principles: 1) they are all located on the cable itself; 2) the conductor temperature increases in ascending order; and 3) as they move from the joint closer to the end, some points near the joint are affected by the joint heat flow, while points farther away are largely affected only by the radial heat flow of the cable itself.

[0060] Ignoring the changes in conductor material parameters and structural parameters due to temperature, the ambient temperature remains unchanged at 25°C, and the steady-state temperature field simulation of the cable joint is performed. Five characteristic points and joint hotspot temperatures are extracted each time, for a total of 25 groups of samples. 2, 3, 4, and 5 characteristic points are selected for permutation and combination, with the input being the characteristic point temperature and the output being the hotspot temperature. Function fitting is performed in sequence, and a total of 26 combinations are obtained. and As shown in Table 1.

[0061] Table 1 Goodness of fit of each training sample and sensitivity coefficient

[0062] ,

[0063] Analyze goodness of fit As can be seen, the minimum value is 0.9352, occurring at the combination of feature points 4 and 5. These two points are farthest from the central joint and have the weakest relationship with the joint's heat flow. Although located on the main heat flow path, these two points cannot fully reflect the influence of the joint's main heat flow. For other combinations, the goodness of fit is greater than 0.97, indicating that most combinations meet the requirements of the axial inversion function. The structure of the fitting accuracy indicates that some combinations are unreasonable, but it is impossible to select the optimal feature point combination. Therefore, we will continue to analyze the differences in sensitivity coefficients.

[0064] First, the sensitivity coefficients under the 26 combinations are all different, with the maximum being 175.8717 and the minimum being 2.7163. Since the sensitivity coefficient reflects the robustness of the model and will also increase the temperature error caused by the thermal circuit model calculation, it is necessary to select a combination with a smaller coefficient. Secondly, as the number of feature points increases, the overall sensitivity coefficient also increases, and the sensitivity coefficient of selecting 5 feature points is the largest. However, too many points cause the model to overfit. Although the fitting effect is excellent at this time, there are redundant signal values implied in the model, and the information of the characteristic values cannot be captured, so the generalization ability is weak. According to the above table, it can be seen that it is more appropriate to select two temperature measurement points, and the farther the distance between the two points, the smaller the sensitivity coefficient. Taking into account the goodness of fit and the sensitivity coefficient, it is determined that the combination of points 1-5 is the best. As shown in the following example: Figure 2 As shown in the figure, the former is 0.1 m away from the end of the middle joint and directly reflects the influence of the joint heat flow, while the latter is 2.0 m away from the end of the middle joint and contains effective information on the radial heat flow of the body.

[0065] After analyzing the training samples and the fitting effects under various combinations, the number and coefficients of the conductor axial inversion function terms were finally determined. The expression of the cable joint axial fitting function is:

[0066] ,

[0067] Where, is the inverted hot spot temperature of the j-th cable joint, is the conductor temperature of the first characteristic point, which is 0.1 m away from the end of the j-th cable connector. is the conductor temperature of the second characteristic point, which is 2.0 m away from the end of the j-th cable joint.

[0068] Step S103 , obtaining the measured hotspot temperature of the cable joint, and correcting the measured hotspot temperature using a preset temperature correction strategy according to the inverted hotspot temperature to obtain a target hotspot temperature.

[0069] In this step, the temperature difference between the inverted hotspot temperature and the measured hotspot temperature is calculated; it is determined whether the absolute value of the temperature difference is greater than a second preset temperature threshold; if it is not greater than the second preset temperature threshold, the inverted hotspot temperature and the measured hotspot temperature are averaged to obtain a target hotspot temperature; if it is greater than the second preset temperature threshold, the inverted hotspot temperature is corrected according to the temperature difference and the second preset temperature threshold to obtain a target hotspot temperature, wherein the expression for correcting the inverted hotspot temperature according to the temperature difference and the second preset temperature threshold is:

[0070] ,

[0071] Where, is the target hotspot temperature, To invert the hotspot temperature, is the temperature difference between the inverted hotspot temperature and the measured hotspot temperature, is the second preset temperature threshold.

[0072] For example, if the inverted hotspot temperature is 50°C and the measured hotspot temperature is 45°C, then the temperature difference is 5°C. Assuming that the second preset temperature threshold is set to 3°C, then It is 50℃-(5℃-3℃)=48℃.

[0073] In this embodiment, if it is not greater than the second preset temperature threshold, the inverted hotspot temperature and the measured hotspot temperature are averaged to obtain the target hotspot temperature, which can reduce the impact of the fitting error as much as possible. If it is greater than the second preset temperature threshold, it means that the current measured hotspot temperature may have a large measurement error when the measuring instrument is collected. However, even if there is a large measurement error, it may still have a certain reference value. Therefore, the temperature difference is subtracted from the second preset temperature threshold, and the measurement error is reduced as much as possible according to the subtraction result. The inverted hotspot temperature is corrected by the difference between the temperature difference and the second preset temperature threshold. Compared with not correcting the inverted hotspot temperature, the inversion error can be offset as much as possible, thereby achieving the goal of improving the accuracy of the target hotspot temperature as much as possible.

[0074] Step S104 , determining whether the target hotspot temperature is greater than a first preset temperature threshold.

[0075] In a specific embodiment, after determining whether the target hotspot temperature is greater than a preset temperature threshold, if it is greater than the preset temperature threshold, it means that the target hotspot temperature has exceeded the limit, and it is directly determined that the cable connector corresponding to the target hotspot temperature has an overheating fault.

[0076] Step S105: If it is not greater than the first preset temperature threshold, the axial temperature change sequence of the cable conductors in different cable bodies is determined according to the temperature distribution of the characteristic points of the cable conductors in different cable bodies, and the target hotspot temperatures of different cable joints are clustered based on each axial temperature change sequence to obtain at least one target hotspot temperature set.

[0077] In this step, the positions of the characteristic points of the cable conductor in the cable body along the cable axis are determined to obtain a characteristic point position sequence, wherein the position spacing between two adjacent characteristic points in the characteristic point position sequence is the same;

[0078] According to the dynamic sliding step, a preset first sliding window is used to slide on the feature point position sequence. During each sliding, the feature point in the first sliding window is defined as the target feature point. The window size of the first sliding window is the same as the size of a target feature point, and the dynamic sliding step increases with the number of sliding times.

[0079] Obtaining the temperature value of each target feature point, and subtracting the temperature values of two adjacent target feature points to obtain at least one axial temperature change value, and sorting the at least one axial temperature change value based on the position sequence of the feature points to obtain an axial temperature change sequence;

[0080] According to the preset temperature weight, the temperature variation between the first axial temperature variation sequence and the second axial temperature variation sequence is calculated, and it is determined whether the temperature variation is greater than a preset threshold. The first axial temperature variation sequence and the second axial temperature variation sequence are any two axial temperature variation sequences. The expression for calculating the temperature variation is:

[0081] ,

[0082] Where, is the temperature variation between the first axial temperature variation sequence and the second axial temperature variation sequence, is the first axial temperature change value in the first axial temperature change sequence, is the first second axial temperature change value in the second axial temperature change sequence, is the second first axial temperature change value in the first axial temperature change sequence, is the second second axial temperature change value in the second axial temperature change sequence, is the Nth first axial temperature change value in the first axial temperature change sequence, is the Nth second axial temperature change value in the second axial temperature change sequence, for The temperature weight, for The temperature weight, for The temperature weight, ,and 、 、…、 Increasing in an arithmetic progression;

[0083] If the temperature variation is greater than a preset threshold, the first target hotspot temperature corresponding to the first axial temperature variation sequence and the second target hotspot temperature corresponding to the second axial temperature variation sequence are not grouped into the same target hotspot temperature set;

[0084] If the temperature variation is not greater than a preset threshold, the first target hotspot temperature corresponding to the first axial temperature variation sequence and the second target hotspot temperature corresponding to the second axial temperature variation sequence are grouped into the same target hotspot temperature set.

[0085] In this embodiment, by obtaining the temperature value of each target feature point and subtracting the temperature values of two adjacent target feature points to obtain at least one axial temperature change value, and then sorting the at least one axial temperature change value based on the positional order of the feature points to obtain an axial temperature change sequence, the axial temperature change of the cable conductor connected to the cable connector can be determined. Furthermore, by calculating the temperature change degree of the two axial temperature change sequences, cable conductors with the same or similar temperature changes can be clustered as much as possible. Since the temperature change of the cable conductors is also affected by the temperature of the cable connector, clustering cable conductors with the same or similar temperature changes can also achieve temperature clustering of the cable connectors as much as possible.

[0086] Furthermore, since the temperature of the characteristic points of the cable conductor closer to the cable joint is more affected, by setting an arithmetically increasing temperature weight in the expression of temperature variation, the proportion of the temperature influence of the cable joint on the cable conductor can be increased, thereby further improving the accuracy of the target hotspot temperature clustering of the cable joint.

[0087] For example, in the first axial temperature change sequence, the first axial temperatures in the direction away from the cable connector are 50°C, 48°C, 46°C, and 42°C respectively; in the second axial temperature change sequence, the first axial temperatures in the direction away from the cable connector are 50°C, 45°C, 43°C, and 40°C respectively; and the temperature weights are 0.1, 0.2, 0.3, and 0.4 respectively.

[0088] The temperature variation degrees of the first axial temperature variation sequence and the second axial temperature variation sequence are calculated to be (50-50) / 0.1+(48-45) / 0.2+(46-43) / 0.3+(42-40) / 0.4=30.

[0089] For another example, in the first axial temperature change sequence, the first axial temperatures in the direction away from the cable connector are 50°C, 48°C, 46°C, and 42°C respectively; in the second axial temperature change sequence, the first axial temperatures in the direction away from the cable connector are 50°C, 48°C, 43°C, and 40°C respectively; and the temperature weights are 0.1, 0.2, 0.3, and 0.4 respectively.

[0090] The temperature variation degrees of the first axial temperature variation sequence and the second axial temperature variation sequence are calculated to be (50-50) / 0.1+(48-48) / 0.2+(46-43) / 0.3+(42-40) / 0.4=15.

[0091] In step S106, a target hotspot temperature is selected from each target hotspot temperature set according to a preset selection rule, the target hotspot temperature is defined as a first suspected target hotspot temperature, and each first suspected target hotspot temperature is compared to obtain a first comparison result, and whether a first suspected target hotspot temperature is abnormal is determined based on the first comparison result.

[0092] In this step, the temperature variation between the axial temperature variation sequences corresponding to any two target hotspot temperatures in a target hotspot temperature set is calculated to obtain a temperature variation set, wherein one target hotspot temperature corresponds to one axial temperature variation sequence; the target temperature variation with the smallest value is selected from the temperature variation set, and the first target hotspot temperature and the second target hotspot temperature corresponding to the target temperature variation are determined; the first target hotspot temperature is defined as the first suspected target hotspot temperature, that is, different first suspected target hotspot temperatures for different target hotspot temperature sets are obtained, wherein the value of the first target hotspot temperature is less than the value of the second target hotspot temperature; a two-dimensional coordinate system is constructed with the first suspected target hotspot temperature as the abscissa and the target temperature variation corresponding to the first suspected target hotspot temperature as the ordinate, and each first suspected target hotspot temperature is set in the two-dimensional coordinate system to obtain each first coordinate point, wherein each first coordinate point corresponds to one first suspected target hotspot temperature; and whether a coordinate point is a first isolated coordinate point in the two-dimensional coordinate system is determined, wherein a coordinate point whose distance from the first central coordinate point is greater than a preset distance threshold is defined as a first isolated coordinate point, and the first central coordinate point is obtained by clustering all first coordinate points in the coordinate system.

[0093] It should be noted that the target temperature variation is the temperature variation with the smallest value selected from the set of temperature variations. By constructing a two-dimensional coordinate system with the first suspected target hotspot temperature as the horizontal coordinate and the target temperature variation corresponding to the first suspected target hotspot temperature as the vertical coordinate, and converting the first suspected target hotspot temperature and the target temperature variation corresponding to the first suspected target hotspot temperature into coordinate points, isolated coordinate points can be more intuitively determined. When an isolated coordinate point exists, it may be that the first suspected target hotspot temperature is significantly different from the other suspected target hotspot temperatures, and the target temperature variation corresponding to the first suspected target hotspot temperature is also different from the target temperature variation corresponding to the other suspected target hotspot temperatures, resulting in the isolated coordinate point.

[0094] In a specific embodiment, if the temperature of a first suspected target hotspot is not abnormal, it is determined that the cable joint corresponding to the second suspected target hotspot temperature may not have an overheating risk.

[0095] Step S107: If a first suspected target hotspot temperature is abnormal, another target hotspot temperature is reselected from a target hotspot temperature set in which the first suspected target hotspot temperature is located, and the other target hotspot temperature is defined as a second suspected target hotspot temperature. The second suspected target hotspot temperature is compared with other first suspected target hotspot temperatures to obtain a second comparison result, and whether the second suspected target hotspot temperature is abnormal is determined based on the second comparison result.

[0096] In this step, the second target hotspot temperature is defined as the second questionable target hotspot temperature; the second questionable target hotspot temperature is set in the two-dimensional coordinate system to obtain a second coordinate point; and a determination is made as to whether the second coordinate point is a second isolated coordinate point in the two-dimensional coordinate system, wherein a coordinate point whose distance from the second center coordinate point is greater than a preset distance threshold is defined as an isolated coordinate point, and the second center coordinate point is obtained by clustering the second center coordinate point and all first coordinate points in the coordinate system. For example, the second center coordinate point can be clustered using an existing clustering method, such as the K-Means clustering method, to obtain a cluster center.

[0097] In a specific embodiment, if the second suspected target hotspot temperature is not abnormal, it is determined that the cable joint corresponding to the second suspected target hotspot temperature may not have an overheating risk.

[0098] Step S108: If the second suspected target hotspot temperature is abnormal, it is determined that the cable connectors corresponding to the respective target hotspot temperatures in the target hotspot temperature set all have overheating risks.

[0099] In this step, when the first target hotspot temperature and the second target hotspot temperature corresponding to the target temperature variation degree with the smallest value are both abnormal, then the target hotspot temperatures corresponding to other temperature variation degrees with larger values than the target temperature variation degree are more likely to be abnormal. Therefore, it is directly determined that the cable joints corresponding to each target hotspot temperature in a certain target hotspot temperature set may have overheating risks, which can effectively improve the troubleshooting efficiency while ensuring the accuracy of the overheating risk analysis as much as possible.

[0100] In summary, compared with the prior art method of directly clustering different cable joints within the same target hotspot temperature range (for example, multiple cable joints that are affected by different ambient temperatures but have similar target hotspot temperatures will be simply clustered into the same set), the method of the present application clusters the target hotspot temperatures of different cable joints based on each axial temperature change sequence to obtain at least one target hotspot temperature set, and can cluster cable joints with the same potential risk into the same set as much as possible, thereby improving the accuracy of clustering and facilitating subsequent overheating risk analysis of each cable joint in the set. Moreover, by defining a two-dimensional coordinate system with the first suspected target hotspot temperature as the horizontal coordinate and the target temperature change degree corresponding to the first suspected target hotspot temperature as the vertical coordinate, it is possible to quickly screen out whether there are isolated coordinate points, thereby determining that the cable joint corresponding to the first suspected target hotspot temperature or the second suspected target hotspot temperature corresponding to the isolated coordinate point may have an overheating risk, thereby effectively improving the efficiency of overheating risk analysis.

[0101] See also Figure 3 , which shows a structural block diagram of a cable joint overheating fault analysis system of the present application.

[0102] like Figure 3 As shown, the overheating fault analysis system 200 includes a solution module 210 , an inversion module 220 , a correction module 230 , a judgment module 240 , a clustering module 250 , a first comparison module 260 , a second comparison module 270 and a determination module 280 .

[0103] Among them, the solution module 210 is configured to obtain the load current of the cable body and the temperature of at least one surface feature point of the cable body, and input the load current and the at least one surface feature point temperature into a preset body transient thermal circuit model, and solve the body transient thermal circuit model to obtain the characteristic point temperature distribution of the cable conductor in the cable body; the inversion module 220 is configured to obtain the inverted hotspot temperature of the cable joint connected to the cable body based on the characteristic point temperature distribution using a preset cable joint axial fitting function; the correction module 230 is configured to obtain the measured hotspot temperature of the cable joint, and according to the inverted hotspot temperature, use a preset temperature correction strategy to correct the measured hotspot temperature to obtain the target hotspot temperature; the judgment module 240 is configured to judge whether the target hotspot temperature is greater than a first preset temperature threshold; the clustering module 250 is configured to determine the axial temperature change sequence of the cable conductors in different cable bodies according to the characteristic point temperature distribution of the cable conductors in different cable bodies if it is not greater than the first preset temperature threshold, and cluster the target hotspot temperatures of different cable joints based on each axial temperature change sequence. The first comparison module 260 is configured to select a target hotspot temperature from each target hotspot temperature set according to a preset selection rule, define the target hotspot temperature as a first suspected target hotspot temperature, compare the first suspected target hotspot temperatures to obtain a first comparison result, and determine whether a first suspected target hotspot temperature is abnormal based on the first comparison result; the second comparison module 270 is configured to reselect another target hotspot temperature from a target hotspot temperature set in which the first suspected target hotspot temperature is located, define the another target hotspot temperature as a second suspected target hotspot temperature, compare the second suspected target hotspot temperature with other first suspected target hotspot temperatures to obtain a second comparison result, and determine whether the second suspected target hotspot temperature is abnormal based on the second comparison result; the determination module 280 is configured to determine that if the second suspected target hotspot temperature is abnormal, the cable connectors corresponding to the target hotspot temperatures in the target hotspot temperature set all have an overheating risk.

[0104] It should be understood that Figure 3 Modules and references documented in Figure 1 Therefore, the operations and features described above for the method and the corresponding technical effects also apply to Figure 3 The modules in it will not be described in detail here.

[0105] In other embodiments, embodiments of the present invention further provide a computer-readable storage medium having a computer program stored thereon, wherein when the program instructions are executed by a processor, the processor is caused to execute the cable connector overheating fault analysis method in any of the above method embodiments;

[0106] As an embodiment, the computer-readable storage medium of the present invention stores computer-executable instructions, and the computer-executable instructions are configured as follows:

[0107] Obtaining a load current of the cable body and a temperature of at least one surface characteristic point of the cable body, and inputting the load current and the temperature of at least one surface characteristic point into a preset body transient thermal circuit model, solving the body transient thermal circuit model to obtain a characteristic point temperature distribution of the cable conductor in the cable body;

[0108] According to the characteristic point temperature distribution, a preset cable joint axial fitting function is used to invert and obtain an inverted hot spot temperature of the cable joint connected to the cable body;

[0109] Obtaining the measured hotspot temperature of the cable joint, and correcting the measured hotspot temperature using a preset temperature correction strategy based on the inverted hotspot temperature to obtain a target hotspot temperature;

[0110] Determining whether the target hotspot temperature is greater than a first preset temperature threshold;

[0111] If it is not greater than the first preset temperature threshold, determining the axial temperature change sequence of the cable conductors in the different cable bodies according to the temperature distribution of the characteristic points of the cable conductors in the different cable bodies, and clustering the target hotspot temperatures of the different cable joints based on each axial temperature change sequence to obtain at least one target hotspot temperature set;

[0112] selecting a target hotspot temperature from each target hotspot temperature set according to a preset selection rule, defining the target hotspot temperature as a first suspected target hotspot temperature, comparing each first suspected target hotspot temperature to obtain a first comparison result, and determining whether a first suspected target hotspot temperature is abnormal based on the first comparison result;

[0113] If a first suspected target hotspot temperature is abnormal, reselect another target hotspot temperature from a target hotspot temperature set in which the first suspected target hotspot temperature is located, define the another target hotspot temperature as a second suspected target hotspot temperature, compare the second suspected target hotspot temperature with the other first suspected target hotspot temperatures to obtain a second comparison result, and determine whether the second suspected target hotspot temperature is abnormal based on the second comparison result;

[0114] If the second questionable target hotspot temperature is abnormal, it is determined that the cable connectors corresponding to the respective target hotspot temperatures in the target hotspot temperature set all have an overheating risk.

[0115] The computer-readable storage medium may include a program storage area and a data storage area. The program storage area may store an operating system and application programs required for at least one function; the data storage area may store data generated based on the use of the cable connector overheating fault analysis system. Furthermore, the computer-readable storage medium may include high-speed random access memory and may also include storage, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some embodiments, the computer-readable storage medium may optionally include storage remote from the processor. Such remote storage may be connected to the cable connector overheating fault analysis system via a network. Examples of such networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0116] Figure 4 is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention, such as Figure 4 As shown, the device includes: a processor 310 and a memory 320. The electronic device may also include: an input device 330 and an output device 340. The processor 310, the memory 320, the input device 330 and the output device 340 may be connected via a bus or other means. Figure 4 The example of a bus connection is shown. Memory 320 is the aforementioned computer-readable storage medium. Processor 310 executes the various server functional applications and data processing by running the non-volatile software programs, instructions, and modules stored in memory 320, thereby implementing the cable connector overheating fault analysis method described in the aforementioned method embodiment. Input device 330 can receive input digital or character information and generate key signal input related to user settings and function control of the cable connector overheating fault analysis system. Output device 340 can include a display device such as a display screen.

[0117] The electronic device can execute the method provided by the embodiment of the present invention, and has the functional modules and beneficial effects corresponding to the execution method. For technical details not fully described in this embodiment, please refer to the method provided by the embodiment of the present invention.

[0118] As an embodiment, the electronic device is applied to a cable connector overheating fault analysis system and is used on a client, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to:

[0119] Obtaining a load current of the cable body and a temperature of at least one surface characteristic point of the cable body, and inputting the load current and the temperature of at least one surface characteristic point into a preset body transient thermal circuit model, solving the body transient thermal circuit model to obtain a characteristic point temperature distribution of the cable conductor in the cable body;

[0120] According to the characteristic point temperature distribution, a preset cable joint axial fitting function is used to invert and obtain an inverted hot spot temperature of the cable joint connected to the cable body;

[0121] Obtaining the measured hotspot temperature of the cable joint, and correcting the measured hotspot temperature using a preset temperature correction strategy based on the inverted hotspot temperature to obtain a target hotspot temperature;

[0122] Determining whether the target hotspot temperature is greater than a first preset temperature threshold;

[0123] If it is not greater than the first preset temperature threshold, determining the axial temperature change sequence of the cable conductors in the different cable bodies according to the temperature distribution of the characteristic points of the cable conductors in the different cable bodies, and clustering the target hotspot temperatures of the different cable joints based on each axial temperature change sequence to obtain at least one target hotspot temperature set;

[0124] selecting a target hotspot temperature from each target hotspot temperature set according to a preset selection rule, defining the target hotspot temperature as a first suspected target hotspot temperature, comparing each first suspected target hotspot temperature to obtain a first comparison result, and determining whether a first suspected target hotspot temperature is abnormal based on the first comparison result;

[0125] If a first suspected target hotspot temperature is abnormal, reselect another target hotspot temperature from a target hotspot temperature set in which the first suspected target hotspot temperature is located, define the another target hotspot temperature as a second suspected target hotspot temperature, compare the second suspected target hotspot temperature with the other first suspected target hotspot temperatures to obtain a second comparison result, and determine whether the second suspected target hotspot temperature is abnormal based on the second comparison result;

[0126] If the second questionable target hotspot temperature is abnormal, it is determined that the cable connectors corresponding to the respective target hotspot temperatures in the target hotspot temperature set all have an overheating risk.

[0127] Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented using software plus a necessary general-purpose hardware platform, or of course, hardware. Based on this understanding, the essence of the above technical solution, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, or an optical disk, and includes a number of instructions for causing a computer device (such as a personal computer, server, or network device) to execute the methods of each embodiment or certain portions of the embodiments.

[0128] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for analyzing overheating failure of a cable joint, characterized in that: include: Obtaining a load current of the cable body and a temperature of at least one surface characteristic point of the cable body, and inputting the load current and the temperature of at least one surface characteristic point into a preset body transient thermal circuit model, solving the body transient thermal circuit model to obtain a characteristic point temperature distribution of the cable conductor in the cable body; According to the characteristic point temperature distribution, a preset cable joint axial fitting function is used to invert and obtain an inverted hot spot temperature of the cable joint connected to the cable body; Obtaining the measured hot spot temperature of the cable joint, and correcting the measured hot spot temperature using a preset temperature correction strategy based on the inverted hot spot temperature to obtain a target hot spot temperature; Determining whether the target hotspot temperature is greater than a first preset temperature threshold; If it is not greater than the first preset temperature threshold, determining the axial temperature change sequence of the cable conductors in the different cable bodies according to the temperature distribution of the characteristic points of the cable conductors in the different cable bodies, and clustering the target hotspot temperatures of the different cable joints based on each axial temperature change sequence to obtain at least one target hotspot temperature set; selecting a target hotspot temperature from each target hotspot temperature set according to a preset selection rule, defining the target hotspot temperature as a first suspected target hotspot temperature, comparing each first suspected target hotspot temperature to obtain a first comparison result, and determining whether a first suspected target hotspot temperature is abnormal based on the first comparison result; If a first suspected target hotspot temperature is abnormal, reselect another target hotspot temperature from a target hotspot temperature set in which the first suspected target hotspot temperature is located, define the another target hotspot temperature as a second suspected target hotspot temperature, compare the second suspected target hotspot temperature with the other first suspected target hotspot temperatures to obtain a second comparison result, and determine whether the second suspected target hotspot temperature is abnormal based on the second comparison result; If the second questionable target hotspot temperature is abnormal, it is determined that the cable connectors corresponding to the respective target hotspot temperatures in the target hotspot temperature set all have an overheating risk.

2. The method for analyzing overheating failure of a cable joint according to claim 1, characterized in that: The expression of the cable joint axial fitting function is: ， Where, is the inverted hot spot temperature of the j-th cable joint, is the conductor temperature of the first characteristic point, which is 0.1 m away from the end of the j-th cable connector. is the conductor temperature at the second characteristic point, which is 2.0 m away from the end of the j-th cable connector; The step of obtaining the inverted hotspot temperature of the cable joint connected to the cable body by inverting the temperature distribution of the characteristic points using a preset cable joint axial fitting function comprises: Selecting the conductor temperature of a first characteristic point and the conductor temperature of a second characteristic point in the characteristic point temperature distribution respectively; The conductor temperature of the first characteristic point and the conductor temperature of the second characteristic point are input into the cable joint axial fitting function to obtain the inverse hot spot temperature of the cable joint connected to the cable body.

3. The method for analyzing overheating failure of a cable joint according to claim 1, characterized in that: The method of correcting the measured hotspot temperature using a preset temperature correction strategy according to the inverted hotspot temperature to obtain a target hotspot temperature includes: Calculating the temperature difference between the inverted hotspot temperature and the measured hotspot temperature; Determining whether the absolute value of the temperature difference is greater than a second preset temperature threshold; If it is not greater than a second preset temperature threshold, averaging the inverted hotspot temperature and the measured hotspot temperature to obtain a target hotspot temperature; If it is greater than the second preset temperature threshold, the inversion hotspot temperature is corrected according to the temperature difference and the second preset temperature threshold to obtain the target hotspot temperature, wherein the expression for correcting the inversion hotspot temperature according to the temperature difference and the second preset temperature threshold is: ， Where, is the target hotspot temperature, To invert the hotspot temperature, is the temperature difference between the inverted hotspot temperature and the measured hotspot temperature, is the second preset temperature threshold.

4. The method for analyzing overheating failure of a cable joint according to claim 1, characterized in that: After determining whether the target hotspot temperature is greater than a preset temperature threshold, the method further includes: If the temperature is greater than a preset temperature threshold, it is directly determined that the cable connector corresponding to the target hot spot temperature has an overheating fault.

5. The method for analyzing overheating failure of a cable joint according to claim 1, characterized in that: The step of determining an axial temperature variation sequence of the cable conductors in different cable bodies according to the temperature distribution of characteristic points of the cable conductors in different cable bodies, and clustering the target hotspot temperatures of different cable joints based on each axial temperature variation sequence to obtain at least one target hotspot temperature set includes: Determine the position of each characteristic point of the cable conductor in the cable body along the cable axis direction to obtain a characteristic point position sequence, wherein the position spacing between two adjacent characteristic points in the characteristic point position sequence is the same; According to the dynamic sliding step, a preset first sliding window is used to slide on the feature point position sequence, and each time the feature point in the first sliding window is slid, the feature point is defined as a target feature point, wherein the window size of the first sliding window is the same as the size of a target feature point, and the dynamic sliding step increases with the number of slides; Acquire the temperature value of each target feature point, and subtract the temperature values of two adjacent target feature points to obtain at least one axial temperature change value, and sort the at least one axial temperature change value based on the position sequence of the feature points to obtain an axial temperature change sequence; According to the preset temperature weight, the temperature variation between the first axial temperature variation sequence and the second axial temperature variation sequence is calculated, and it is determined whether the temperature variation is greater than a preset threshold. The first axial temperature variation sequence and the second axial temperature variation sequence are any two axial temperature variation sequences, and the expression for calculating the temperature variation is: ， Where, is the temperature variation between the first axial temperature variation sequence and the second axial temperature variation sequence, is the first axial temperature change value in the first axial temperature change sequence, is the first second axial temperature change value in the second axial temperature change sequence, is the second first axial temperature change value in the first axial temperature change sequence, is the second second axial temperature change value in the second axial temperature change sequence, is the Nth first axial temperature change value in the first axial temperature change sequence, is the Nth second axial temperature change value in the second axial temperature change sequence, for The temperature weight, for The temperature weight, for The temperature weight, ,and 、 、…、 Increasing in an arithmetic progression; If the temperature variation is greater than a preset threshold, the first target hotspot temperature corresponding to the first axial temperature variation sequence and the second target hotspot temperature corresponding to the second axial temperature variation sequence are not grouped into the same target hotspot temperature set; If the temperature variation is not greater than a preset threshold, the first target hotspot temperature corresponding to the first axial temperature variation sequence and the second target hotspot temperature corresponding to the second axial temperature variation sequence are grouped into the same target hotspot temperature set.

6. The method for analyzing overheating failure of a cable joint according to claim 5, characterized in that: The step of selecting a target hotspot temperature from each target hotspot temperature set according to a preset selection rule, defining the target hotspot temperature as a first suspected target hotspot temperature, and comparing each first suspected target hotspot temperature to obtain a first comparison result, and determining whether a first suspected target hotspot temperature is abnormal according to the first comparison result includes: Calculating the temperature variation between the axial temperature variation sequences corresponding to any two target hotspot temperatures in a target hotspot temperature set to obtain a temperature variation set, wherein one target hotspot temperature corresponds to one axial temperature variation sequence; Selecting a target temperature variation degree with the smallest value from the temperature variation degree set, and determining a first target hotspot temperature and a second target hotspot temperature corresponding to the target temperature variation degree; The first target hotspot temperature is defined as a first questionable target hotspot temperature, that is, different first questionable target hotspot temperatures of different target hotspot temperature sets are obtained, wherein the value of the first target hotspot temperature is less than the value of the second target hotspot temperature; A two-dimensional coordinate system is constructed with the first questionable target hotspot temperature as the abscissa and the target temperature change corresponding to the first questionable target hotspot temperature as the ordinate, and each first questionable target hotspot temperature is set in the two-dimensional coordinate system to obtain each first coordinate point, wherein each first coordinate point corresponds to each first questionable target hotspot temperature; Determine whether a coordinate point is a first isolated coordinate point in the two-dimensional coordinate system, wherein a coordinate point whose distance from a first central coordinate point is greater than a preset distance threshold is defined as the first isolated coordinate point, and the first central coordinate point is obtained by clustering all first coordinate points in the coordinate system.

7. A cable joint overheating fault analysis method according to claim 6, characterized in that: The reselecting another target hotspot temperature from a target hotspot temperature set in which the first questionable target hotspot temperature is located, defining the another target hotspot temperature as a second questionable target hotspot temperature, and comparing the second questionable target hotspot temperature with other first questionable target hotspot temperatures to obtain a second comparison result, and determining whether the second questionable target hotspot temperature is abnormal based on the second comparison result includes: defining the second target hotspot temperature as a second questionable target hotspot temperature; Setting the second questionable target hotspot temperature in the two-dimensional coordinate system to obtain a second coordinate point; and determining whether the second coordinate point is a second isolated coordinate point in the two-dimensional coordinate system, wherein a coordinate point whose distance from the second central coordinate point is greater than a preset distance threshold is defined as an isolated coordinate point, and the second central coordinate point is obtained by clustering the second central coordinate point and all first coordinate points in the coordinate system.

8. A cable joint overheating fault analysis system, characterized in that: include: a solution module configured to obtain a load current of the cable body and a temperature of at least one surface characteristic point of the cable body, input the load current and the temperature of at least one surface characteristic point into a preset body transient thermal circuit model, and solve the body transient thermal circuit model to obtain a temperature distribution of characteristic points of the cable conductor in the cable body; an inversion module configured to obtain an inverted hotspot temperature of the cable joint connected to the cable body by using a preset cable joint axial fitting function according to the characteristic point temperature distribution; a correction module configured to obtain the measured hotspot temperature of the cable joint, and correct the measured hotspot temperature using a preset temperature correction strategy according to the inverted hotspot temperature to obtain a target hotspot temperature; a judgment module configured to judge whether the target hotspot temperature is greater than a first preset temperature threshold; a clustering module configured to, if the temperature is not greater than a first preset temperature threshold, determine an axial temperature change sequence of the cable conductors in the different cable bodies based on the temperature distribution of the characteristic points of the cable conductors in the different cable bodies, and cluster the target hotspot temperatures of the different cable joints based on each axial temperature change sequence to obtain at least one target hotspot temperature set; a first comparison module configured to select a target hotspot temperature from each target hotspot temperature set according to a preset selection rule, define the target hotspot temperature as a first suspected target hotspot temperature, compare each first suspected target hotspot temperature to obtain a first comparison result, and determine whether a first suspected target hotspot temperature is abnormal based on the first comparison result; a second comparison module configured to, if a first suspected target hotspot temperature is abnormal, reselect another target hotspot temperature from a target hotspot temperature set in which the first suspected target hotspot temperature is located, define the another target hotspot temperature as a second suspected target hotspot temperature, compare the second suspected target hotspot temperature with other first suspected target hotspot temperatures to obtain a second comparison result, and determine whether the second suspected target hotspot temperature is abnormal based on the second comparison result; The determination module is configured to determine that the cable connectors corresponding to the respective target hotspot temperatures in the target hotspot temperature set are all at risk of overheating if the second suspected target hotspot temperature is abnormal.

9. An electronic device, characterized in that: include: At least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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