Power transmission line repair decision method and system based on corona identification

Abstract

The present application relates to the technical field of power transmission line maintenance, and is a power transmission line repair decision method and system based on corona identification, specifically comprising: introducing the contact interface heat flux gradient, micro-mechanical vibration modal data and dynamic frequency domain corona fingerprint data into a robustness evaluation strategy of micro-gap breathing effect of repair heterogeneous interface, calculating and obtaining a repair interface dynamic stability weight index; establishing a dynamic model, inputting the dynamic frequency domain corona fingerprint data into the dynamic model, analyzing the positive and negative half-cycle charge migration difference, and outputting a heterogeneous interface polarization discharge intensity index; inputting the repair interface dynamic stability weight index and the heterogeneous interface polarization discharge intensity index into a repair quality subcritical evolution decision model to identify the false compliance risk of the power transmission line. The present application solves the problem that the repair site rapidly deteriorates in insulation performance in the initial stage of operation and causes flashover accidents in the prior art.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power transmission line maintenance, and is a power transmission line repair decision method and system based on corona identification. BACKGROUND

[0002] With the densification of China's ultra-high voltage and extra-high voltage power grid construction, the power transmission line is operated in a complex electric, thermal and mechanical multi-field coupling environment for a long time, and the online repair quality of the conductor broken strand and fitting damage directly relates to the safety red line of the physical power grid. However, the current repair evaluation decision method still has the following technical bottlenecks when facing the heterogeneous interface composed of damaged conductors and repair tubes. First, the existing detection means mostly relies on ultraviolet photon total number statistics or static infrared imaging, lacks deep mining of the subcritical discharge pulse evolution accumulation law of the repair interface gap, and cannot accurately identify the deep breakdown hidden danger caused by the micro-displacement of the repair interlayer gap or the thermodynamic mismatch. Second, the existing evaluation index is single in dimension system and unbalanced in dimension, and it is difficult to effectively correlate the multi-dimensional physical indexes such as current density distribution, temperature rise gradient and frequency domain corona fingerprint under the unified mathematical logic, so there is obvious logical fracture in the cross-physical field coupling analysis, and it is difficult to quantitatively represent the nonlinear evolution process from weak degradation to avalanche failure of the repair interface. At the same time, the traditional repair process shows serious hysteresis in the sensitivity identification of the shielding failure of the repair layer and the adaptive adjustment of the repair parameters, and it is difficult to give accurate decision instructions under complex conductor galloping and load fluctuation conditions. This lack of dynamic evolution slope perception and multi-dimensional criterion coupling easily leads to flashover accidents at the repair site due to rapid degradation of insulation performance in the early stage of operation. SUMMARY

[0003] The technical problem to be solved by the present application is the problem of flashover accidents at the repair site due to rapid degradation of insulation performance in the early stage of operation in the prior art. The present application provides a power transmission line repair decision method and system based on corona identification.

[0004] In order to achieve the above purpose, the technical scheme of the power transmission line repair decision method based on corona identification of the present application comprises the following steps:

[0005] An ideal corona distribution envelope line of the power transmission line in a healthy running state is obtained as an original comparison benchmark after repair; dynamic frequency domain corona fingerprint data of the repair area after being put into operation are periodically collected; the contact interface heat flux gradient and micro-mechanical vibration modal data of the repair area are synchronously obtained;

[0006] The contact interface heat flux gradient, micro-mechanical vibration modal data and dynamic frequency domain corona fingerprint data are introduced into a robustness evaluation strategy of the micro-gap breathing effect of the repair heterogeneous interface, and a dynamic stability weight index of the repair interface is calculated and obtained;

[0007] A dynamic model of asymmetric space charge accumulation at the heterogeneous interface of the repaired area is established, dynamic frequency domain corona fingerprint data is input into the dynamic model, differences in positive and negative half-cycle charge migration are analyzed, and a heterogeneous interface polarization discharge intensity index of the repaired area is output;

[0008] The dynamic stability weight index of the repair interface and the heterogeneous interface polarization discharge intensity index are input into the repair quality subcritical evolution decision model, false compliance risks of the transmission line are identified, and operation and maintenance decision instructions for repair area operation and maintenance recommendations are issued.

[0009] Preferably, the ideal corona distribution envelope is specifically based on the full-phase corona characteristic map of the repair area under ideal contact state based on Maxwell electromagnetic field simulation, and the specific steps are:

[0010] S11: Extract the work function of the hardware material used in the repair area and the oxidation degree distribution of the old conductor substrate, and determine the contact potential difference range of the repair interface;

[0011] S12: According to the line voltage level, a three-dimensional electric field vector model of the repair area is constructed, and the field intensity distortion rate benchmark value at the junction of the new and old metal interfaces under the preset tightening pressure is simulated and calculated;

[0012] S13: Calculate the full-phase ultraviolet pulse symmetric distribution probability density function under the ideal repair state as a benchmark map.

[0013] Preferably, the dynamic frequency domain corona fingerprint data of the repair area after being put into operation is periodically collected; the contact interface heat flux gradient and the micro-mechanical vibration modal data of the repair area are synchronously acquired, specifically including: collecting the benchmark map of the corona pulse in a unit period in the 240nm-280nm solar blind ultraviolet band, and extracting the phase distribution skewness of the corona pulse in a unit period and the imbalance rate of the positive and negative half-cycle energy envelope;

[0014] Real-time monitoring of the local temperature rise gradient at both ends of the repair pipe and the interface alternating stress frequency caused by conductor galloping.

[0015] Preferably, the robustness evaluation strategy of the micro-gap breathing effect of the repair heterogeneous interface includes:

[0016] S21: According to the thermal cycle generated by the load change, the micro-displacement variation coefficient of the heterogeneous interface is calculated;

[0017] S22: By performing phase correlation matching between the real-time phase spectrum and the benchmark spectrum , the phase drift amount , calculate the repair interface corona response follow-up index;

[0018] S23: According to the evolution of the equivalent contact resistance of the repair area interface, calculate the electrochemical shielding failure coefficient of the repair area in the jth unit time .

[0019] Preferably, the calculation strategy of the repair interface dynamic stability weight index is:

[0020] First, get the repair interface corona response follow-up index;

[0021] Then, the heterogeneous interface micro-displacement variation coefficient and the electrochemical shielding failure coefficient are coupled by nonlinear product, and the risk penalty base of the power transmission line repair interface is constructed by natural constant indexization processing;

[0022] Then, the repair interface corona response follow-up index is divided by the sum of the risk penalty base and 1, and finally the repair interface dynamic stability weight index is obtained .

[0023] Preferably, the dynamic model of the asymmetric space charge accumulation includes:

[0024] S31: Extract the maximum value point energy level deviation of the discharge phase in the positive and negative half cycles of the voltage, and calculate the polarization asymmetric component ;

[0025] S32: Based on the thermal electron emission effect, combined with the interface heat flux, calculate the subcritical discharge evolution slope induced by local defects ;

[0026] S33: Derive the polarization asymmetric component and the subcritical discharge evolution slope, and calculate the repair consistency evolution factor.

[0027] Preferably, the acquisition strategy of the heterogeneous interface polarization discharge intensity index is as follows:

[0028] First, the polarization asymmetric component and the subcritical discharge evolution slope are weighted and summed according to the preset weight ratio, so as to construct the basic energy base of the interface discharge characteristics; Then, the natural constant exponential function under the participation of the repair consistency evolution factor is multiplied by the above basic energy base, and finally the heterogeneous interface polarization discharge intensity index is obtained .

[0029] Preferably, the repair quality subcritical evolution decision model includes:

[0030] S51: Construct a repair efficiency health value function ;

[0031] S52: If <0.65, automatically triggering a hidden defect alarm;

[0032] S53: based on With the change rate of the monitoring period, the performance evolution trend in the future maintenance period is predicted, and a repair quality effectiveness prediction sequence is generated;

[0033] S54: mapping the prediction sequence generated by S53 into specific field correction actions.

[0034] In addition, the power transmission line repair decision system based on corona recognition includes the following modules:

[0035] Heterogeneous interface fingerprint collection module, multi-field stability evaluation module, asymmetric charge dynamic analysis module and differential operation instruction execution module;

[0036] The heterogeneous interface fingerprint collection module is used to obtain the ideal corona distribution envelope line of the power transmission line in the healthy running state as the original comparison benchmark after repair; periodically collect dynamic frequency domain corona fingerprint data of the repair area after being put into operation; simultaneously obtain the contact interface heat flux gradient and micro-mechanical vibration modal data of the repair area;

[0037] The multi-field stability evaluation module is used to import the contact interface heat flux gradient, micro-mechanical vibration modal data and dynamic frequency domain corona fingerprint data into the robustness evaluation strategy of the micro-gap breathing effect of the repair heterogeneous interface, and calculate and obtain the dynamic stability weight index of the repair interface;

[0038] The asymmetric charge dynamic analysis module is used to establish a dynamics model of asymmetric space charge accumulation of the heterogeneous interface of the repair area, input the dynamic frequency domain corona fingerprint data into the dynamics model, analyze the positive and negative half-cycle charge migration difference, and output the heterogeneous interface polarization discharge intensity index of the repair area;

[0039] The differential operation instruction execution module is used to input the dynamic stability weight index of the repair interface and the heterogeneous interface polarization discharge intensity index into the repair quality subcritical evolution decision model, identify the false compliance risk of the power transmission line, and issue operation and maintenance decision instructions for operation and maintenance recommendations for the repair area.

[0040] Compared with the prior art, the technical effects of the present application are as follows:

[0041] 1. The application breaks through the limitation of traditional methods relying only on photon number statistics or static images, realizes cross-time domain perception of weak physical changes of repaired heterogeneous interfaces by introducing deep frequency domain corona fingerprint data acquisition and subcritical evolution feature recognition, can sensitively capture the implicit degradation trend caused by thermodynamic mismatch, micro-displacement variation or charge accumulation, solves the problem of insufficient recognition sensitivity of existing technologies for early deep defects of repaired interfaces, and significantly reduces the false positive and false negative rates.

[0042] 2. The application constructs a dynamic stability evaluation and discharge intensity coupling criterion, realizes on-demand distribution and precise control of repair process parameters such as repair pipe fastening torque and insulation coating thickness by real-time mapping of the interaction between mechanical follow-up compensation capability and ionization energy distribution, greatly improves the long-term reliability of physical and electrical connections at the heterogeneous interface.

[0043] 3. The application effectively prevents flashover and strand breakage accidents of power transmission lines under complex heavy load fluctuations or extreme weather conditions by monitoring the nonlinear evolution process of the interface from micro-displacement variation to ionization current avalanche, not only maximizes the remaining service life of damaged conductors, but also significantly reduces the emergency operation and maintenance cost and large-area power outage risk of UHV power grids, providing technical support for fine maintenance of smart grid infrastructure. BRIEF DESCRIPTION OF DRAWINGS

[0044] In order to more clearly illustrate the technical solutions of the embodiments of the application, the following will briefly introduce the drawings needed to be used in the embodiment description. Obviously, the drawings in the following description are only some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor. Among them:

[0045] Figure 1 The flowchart of the power transmission line repair decision method based on corona recognition of the application;

[0046] Figure 2 The structural diagram of the power transmission line repair decision system based on corona recognition of the application. DETAILED DESCRIPTION

[0047] In order to make the above-mentioned purposes, features and advantages of the application more obvious and easy to understand, the specific embodiments of the application will be described in detail below with reference to the drawings of the specification.

[0048] In the following description, many specific details are set forth in order to provide a thorough understanding of the application, but the application can also be implemented in other ways different from those described herein, and those skilled in the art can make similar generalizations without departing from the connotation of the application, therefore the application is not limited by the specific embodiments disclosed below.

[0049] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0050] Example 1:

[0051] like Figure 1 As shown in the figure, the transmission line repair decision method based on corona recognition according to an embodiment of the present invention includes the following specific steps:

[0052] Obtain the ideal corona distribution envelope of the transmission line under healthy operating conditions as the original comparison benchmark after repair; periodically collect dynamic frequency domain corona fingerprint data of the repaired area after grid connection; and simultaneously acquire the heat flux gradient of the contact interface and micromechanical vibration mode data of the repaired area.

[0053] For example, in this embodiment, the repair area is the pre-twisted wire repair section or the joint of the repair pipe of the ultra-high voltage conductor;

[0054] It should be noted that the dynamic frequency domain corona fingerprint data is used to capture the weak discharge characteristics of the interface between new and old materials; the heat flux gradient of the contact interface and the micromechanical vibration mode data of the repair area are used to characterize the mechanical stress and thermodynamic dynamics of the repair site.

[0055] The ideal corona distribution envelope is specifically: a full-phase corona characteristic spectrum of the repaired region under ideal contact conditions based on Maxwell's electromagnetic field simulation, and the specific steps are as follows:

[0056] S11: Extract the work function of the hardware material used in the repair area and the oxidation degree distribution of the old wire substrate to determine the range of contact potential difference at the repair interface;

[0057] It should be noted that the extracted material work function and oxidation degree factor directly affect the initial discharge phase of the reference spectrum. and peak phase Initial discharge phase The specific method for determining it is as follows: Peak phase The determination method is as follows: the oxidation factor of the old conductor substrate is defined as [0,1]. When there is a significant oxide layer at the interface, the oxidation factor approaches 1, and the standard deviation is increased by 15%~25% based on the original simulation.

[0058] S12: Construct a three-dimensional electric field vector model of the repair area according to the line voltage level, and simulate the field intensity distortion rate reference value at the junction of the new and old metal interfaces under the preset fastening pressure;

[0059] In this embodiment, the field intensity distortion rate reference value K is obtained by using the simulation calculation of the ratio of the maximum local field intensity to the uniform field intensity at the junction;

[0060] Map the field intensity distortion rate reference value to the field intensity correction coefficient based on the roughness vector of the repair material , .

[0061] S13: Calculate the full-phase ultraviolet pulse symmetric distribution probability density function in the ideal repair state as a reference atlas.

[0062] In this embodiment, the calculation formula of the full-phase ultraviolet pulse symmetric distribution probability density function is:

[0063] ;

[0064] Wherein, is the power frequency voltage phase angle; is the reference starting discharge phase; is the phase distribution standard deviation; is the field intensity correction coefficient based on the roughness vector of the repair material.

[0065] Periodically collect dynamic frequency domain corona fingerprint data of the repair area after being put into operation; synchronously acquire the contact interface heat flux gradient and micro-mechanical vibration modal data of the repair area, specifically including: collecting the reference atlas of corona pulses in a unit period in the 240-280 nm solar blind ultraviolet band, and extracting the phase distribution skewness of corona pulses in a unit period and the imbalance rate of positive and negative half-cycle energy envelopes;

[0066] Use distributed optical fiber or acoustic wave sensor to monitor the local temperature rise gradient at both ends of the repair pipe and the interface alternating stress frequency caused by conductor dancing .

[0067] Import the contact interface heat flux gradient, micro-mechanical vibration modal data and dynamic frequency domain corona fingerprint data into the robustness evaluation strategy of the micro-gap breathing effect of the repair heterogeneous interface, and calculate the dynamic stability weight index of the repair interface;

[0068] It should be noted that in this embodiment, the robustness evaluation strategy of the micro-gap breathing effect of the repair heterogeneous interface aims to quantify the opening and closing degree of the micron-level gap caused by load fluctuation;

[0069] ​The robustness evaluation strategy for repairing the micro-gap breathing effect of the heterogeneous interface includes:

[0070] S21: In this embodiment, considering that the repair part of the power transmission line is different from the conductor substrate material, the micro-displacement variation coefficient of the heterogeneous interface is calculated according to the thermal cycle generated by the load change;

[0071] It should be noted that the calculation strategy of the micro-displacement variation coefficient of the heterogeneous interface aims to quantify the physical gap fluctuation caused by the micro-gap breathing effect, which is as follows:

[0072] ;

[0073] wherein, is the linear expansion coefficient; is the local temperature rise gradient; is the axial length of the contact surface, is the repair layer thickness; is the interface alternating stress frequency; is the maximum frequency allowed by the power transmission line;

[0074] It should be noted that the left side term of the formula represents the theoretical shear strain generated by the interface thermal mismatch through the product of the difference in linear expansion coefficient and the local temperature rise; combined with the geometric mapping of the axial length of the contact surface and the initial compression gap, the weakening strength of the micro-gap breathing effect on the interface stability is quantified, and the frequency logarithmic correction term is introduced to reflect the nonlinear attenuation characteristics of high-frequency vibration on the fatigue degradation speed of the metal heterogeneous interface.

[0075] S22: By performing phase correlation matching on the real-time phase spectrum and the reference spectrum , the phase drift amount is extracted, and the repair interface corona response following index is calculated;

[0076] It should be noted that the repair interface corona response following index represents the following degree of discharge activity to the load thermal cycle, which aims to identify the hidden gap affected by the micro-gap breathing effect, and the calculation strategy is as follows:

[0077] ;

[0078] wherein, are the load sensitivity factor and the phase offset weight coefficient, respectively; is the ultraviolet pulse count, represents the relative change rate of the pulse, is the relative change rate of the load temperature rise power; is the reference phase width;

[0079] It should be noted that the form of the relative change rate ratio is used in this embodiment to strip off static interference such as environmental humidity. If the synchronous pulse increases due to load increase, it indicates that the corona source is caused by the breathing gap caused by thermal expansion and contraction.

[0080] S23: According to the equivalent contact resistance evolution of the repair area interface, the electrochemical shielding failure coefficient of the repair area in the jth unit time is calculated ;

[0081] In this embodiment, a strategy for obtaining the electrochemical shielding failure coefficient is provided, specifically: ;

[0082] wherein, is the real-time contact resistance; is the bulk wire resistance; is the surface equivalent salt density; is the reference cleanliness coefficient.

[0083] It should be noted that in electrochemical corrosion, an increase in resistance means an exponential growth of the oxide layer or a decrease in the effective contact area. At the same time, salt is a catalyst for the formation of conductive liquid film and electrochemical corrosion. The greater the salt density, the worse the chemical stability of the shielding layer.

[0084] The calculation strategy of the repair interface dynamic stability weight index is:

[0085] First, the repair interface corona response following index representing the synchronous change of the repair interface corona discharge characteristics with load fluctuations is obtained, and the original controlled state of the repair interface in the electromagnetic environment is determined;

[0086] Then, the heterogeneous interface micro-displacement variation coefficient representing the thermal mismatch between new and old materials and the electrochemical shielding failure coefficient caused by the evolution of contact resistance are nonlinearly coupled and processed by natural constant indexing to construct a risk penalty base of the repair interface of the power transmission line;

[0087] Then, the repair interface corona response following index is divided by the sum of the risk penalty base and 1, and finally the repair interface dynamic stability weight index is obtained.

[0088] It should be noted that the repair interface dynamic stability weight index can comprehensively quantify the physical bonding force and electrical performance durability of the repair area under complex operating environment.

[0089] A dynamic model of asymmetric space charge accumulation of the heterogeneous interface in the repair area is established, dynamic frequency domain corona fingerprint data are input into the dynamic model, differences in positive and negative half cycle charge migration are analyzed, and a heterogeneous interface polarization discharge intensity index of the repair area is output;

[0090] The dynamic model of asymmetric space charge accumulation includes:

[0091] S31: Extracting the maximum value point energy level deviation of the discharge phase in the positive and negative half cycles, and calculating the polarization asymmetric component ;

[0092] The polarization asymmetric component is used to reflect the interface work function difference, and the calculation strategy is:

[0093] ;

[0094] Wherein, is the real-time ultraviolet energy density, and it should be noted that, It aims to detect the false repair state of the internal electric field distortion in the seemingly repaired area;

[0095] It should be noted that under alternating current, if the interface between new and old materials is completely symmetrical (i.e. the work function is consistent), the discharge characteristics of the positive and negative half cycles should be symmetrical, and if there is a work function mismatch, the difficulty of electron emission from old materials to new materials and reverse emission is different, which will lead to energy distribution imbalance. The subtraction is to extract the deviation caused by the polarity effect.

[0096] S32: Based on the thermal electron emission effect, combined with the interface heat flux, the subcritical discharge evolution slope induced by local defects is calculated ;

[0097] The subcritical discharge evolution slope aims to reflect the discharge growth rate, and the calculation strategy is specifically:

[0098] ;

[0099] Wherein, A is the Richardson constant; k is the Boltzmann constant, and T is the real-time monitoring temperature of the repair interface; is the comprehensive work function of the repair interface; is the Schottky correction term, e is the elementary charge, is the vacuum dielectric constant; is the local field distortion value of the interface simulated in S12; are the reference current density and the reference pulse number, respectively; is the growth rate of corona pulse with running time;

[0100] It should be noted that this parameter quantifies the risk of subcritical discharge caused by the microscopic contact points between new and old materials. Since the probability of electrons detaching from the metal surface increases exponentially with increasing temperature and electric field, the exponential part is used to capture the nonlinear characteristics of the interface deterioration caused by the temperature rise.

[0101] S33: The polarization asymmetry component and the subcritical discharge evolution slope are derived, and the repair consistency evolution factor is calculated as follows:

[0102] ;

[0103] in, This is the line's rated voltage. For real-time operating voltage, The preset critical breakdown slope is used. It should be noted that CEI, as the repair consistency evolution factor, reflects the rate at which the repair quality decays with the time it is connected to the grid.

[0104] It should be noted that, The degree of distortion representing the properties of the interface is a static indicator; The slope rate, representing defect growth, is a dynamic indicator, particularly important in multiphysics fusion. The time dimension is included, and the square is used to increase its weight in the evaluation model;

[0105] for If the operating voltage It was very low, but significant discharge and evolution still occurred. This ratio will be very large, thus drastically amplifying the final repair consistency evolution factor.

[0106] The strategy for obtaining the polarization discharge intensity index at the heterogeneous interface is as follows:

[0107] First, the polarization asymmetry component and the subcritical discharge evolution slope are weighted and summed according to a preset weight ratio to construct the basic energy base of the interface discharge characteristics. Then, the basic energy base is multiplied by the natural constant exponential function with the participation of the repair consistency evolution factor to finally obtain the heterogeneous interface polarization discharge intensity index. .

[0108] It should be noted that the heterojunction polarization discharge intensity index is used to assess whether there is an invisible subcritical discharge intensity at the repair site due to poor bonding of heterojunction materials.

[0109] The dynamic stability weight index of the repair interface and the polarization discharge intensity index of the heterogeneous interface are input into the subcritical evolution decision model of repair quality to identify the risk of false compliance of transmission lines caused by insufficient repair accuracy, and to issue operation and maintenance decision instructions for the repair area.

[0110] S51: Constructing a repair performance health value function ;

[0111] It should be noted that, is used to represent the initial stability weight, and is used to represent the health margin of the power transmission line;

[0112] S52: If <0.65, automatically trigger a hidden defect alarm;

[0113] S53: Based on the rate of change with the monitoring period, predict the performance evolution trend in the next maintenance period, and generate a repair quality effectiveness prediction sequence;

[0114] Exemplarily, in the embodiment, a specific implementation of step S53 is provided as follows: first, the time domain difference algorithm is used to calculate the first order evolution slope in the adjacent monitoring period, which is used to quantify the performance degradation rate of the repaired part with the increase of the running time;

[0115] Then, the first order evolution slope is taken as an input feature and substituted into a preset rolling time domain prediction model (i.e., a gray prediction model), and the performance parameters of each time node in the next maintenance period are nonlinearly extrapolated and modeled in combination with the original performance state of the current period.

[0116] Then, the performance evaluation predicted values corresponding to each discrete time point obtained by extrapolation are linearly reorganized in the time dimension, and finally the repair quality effectiveness prediction sequence is obtained.

[0117] S54: Mapping the prediction sequence generated by S53 to specific on-site correction actions.

[0118] Exemplarily, in the embodiment, S54 includes:

[0119] If the repair interface dynamic stability weight index is lower than the threshold value, output a mechanical reinforcement instruction for repair pre-twisted wire secondary reinforcement;

[0120] Specifically, it includes: ;

[0121] Among them, is the final issued mechanical fastening target torque value; is the standard rated fastening torque reference value designed for the repair part; is the mechanical stiffness mapping coefficient;

[0122] In the embodiment, the value range of is preferably 0.2-0.6, and specifically, when the repair part is made of aluminum alloy material, 0.35; when high-strength steel material is used, due to the larger material stiffness, 0.5, which is obtained by fitting the pre-established pre-tightening force-interface contact resistance mapping curve, and is intended to ensure that the torque compensation can both repair the stability loss and not exceed the yield limit of the material.

[0123] If the heterogeneous interface polarization discharge intensity index continuously increases, the output adjustment spraying semiconductive interface coating thickness instruction is adjusted;

[0124] Specifically includes: ;

[0125] The target coating thickness instruction of the repair area heterogeneous interface electric field homogenization layer;

[0126] The preset minimum process coating thickness; The dielectric polarization compensation factor reflects the neutralization ability of the coating material to charge accumulation;

[0127] In the embodiment, reflects the shielding layer thickness increment required per unit discharge intensity, and the value range is recommended to be 0.01mm-0.1mm. Exemplarily, if nano silicon carbide modified semiconductive paint is used, its dielectric polarization neutralization ability is stronger, and at this time 0.03mm, in the embodiment, the value is obtained by measuring a plurality of groups of corona starting voltage experimental data under different coating thicknesses in a laboratory environment.

[0128] Embodiment two:

[0129] As Figure 2 shown, the power transmission line repair decision system based on corona identification in the embodiment of the application includes the following modules:

[0130] The heterogeneous interface fingerprint acquisition module, the multi-field stability evaluation module, the asymmetric charge dynamic analysis module, and the differential operation and maintenance instruction execution module;

[0131] The heterogeneous interface fingerprint acquisition module is used to obtain the ideal corona distribution envelope line of the power transmission line in the healthy running state as the original comparison benchmark after repair; periodically acquires the dynamic frequency domain corona fingerprint data of the repair area after being put into operation; synchronously acquires the contact interface heat flux gradient and the micro-mechanical vibration modal data of the repair area;

[0132] The multi-field stability evaluation module is configured to input the contact interface heat flux gradient, the micro-mechanical vibration modal data and the dynamic frequency domain corona fingerprint data into a robustness evaluation strategy for repairing the micro-gap breathing effect of the heterogeneous interface, and to calculate and obtain a dynamic stability weight index of the repaired interface.

[0133] The asymmetric charge dynamic analysis module is configured to establish a dynamic model of asymmetric space charge accumulation of the heterogeneous interface between the new and old materials in the repair area, input the dynamic frequency domain corona fingerprint data into the dynamic model, analyze the positive and negative half-cycle charge migration difference, and output a heterogeneous interface polarization discharge intensity index of the repair area.

[0134] The differential operation and maintenance instruction execution module is configured to input the dynamic stability weight index of the repaired interface and the heterogeneous interface polarization discharge intensity index into a repair quality subcritical evolution decision model, identify a false compliance risk of the power transmission line, and issue an operation and maintenance decision instruction for the operation and maintenance suggestion of the repair area.

[0135] Embodiment three:

[0136] The embodiment provides an electronic device, comprising a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0137] The processor executes the above-mentioned power transmission line repair decision method based on corona identification by calling the computer program stored in the memory.

[0138] The electronic device can have great differences due to different configurations or performances, and can include one or more processors (Central Processing Units, CPU) and one or more memories, wherein the memory stores at least one computer program, which is loaded and executed by the processor to realize the power transmission line repair decision method based on corona identification provided by the above-mentioned method embodiment. The electronic device can also include other components for realizing device functions, for example, the electronic device can also have a wired or wireless network interface and an input and output interface, etc., so as to perform data input and output. This embodiment will not be described here.

[0139] Embodiment four:

[0140] The embodiment provides a computer readable storage medium, which stores an erasable computer program;

[0141] When the computer program runs on the computer device, the computer device executes the above-mentioned power transmission line repair decision method based on corona identification.

[0142] For example, the computer readable storage medium can be read-only memory (ROM), random access memory (RAM), compact disc read-only memory (CD-ROM), magnetic tape, floppy disk, and optical data storage device, etc.

[0143] It should be understood that the size of the sequence number of the above processes does not mean the order of execution in various embodiments of the present application, and the execution order of the processes should be determined according to its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0144] It should be understood that determining B according to A does not mean that B is determined only according to A, but B can also be determined according to A and / or other information.

[0145] The above embodiments can be realized wholly or partially by software, hardware, firmware or any other combination. When realized by software, the above embodiments can be realized wholly or partially in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the flow or function according to the embodiments of the present application is wholly or partially generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network or other programmable device. The computer instructions can be stored in a computer readable storage medium or transferred from one computer readable storage medium to another, for example, the computer instructions can be transferred from one website, computer, server or data center to another website, computer, server or data center through a wired network or / and wireless network. The computer readable storage medium can be any available medium accessible by a computer or a data storage device such as a server, data center and the like containing one or more available medium collections. The available medium can be a magnetic medium (for example, floppy disk, hard disk, magnetic tape), an optical medium (for example, DVD) or a semiconductor medium. The semiconductor medium can be a solid state disk.

[0146] Those skilled in the art can realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed in the present application can be realized by electronic hardware or a combination of computer software and electronic hardware. Whether the functions are realized in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to realize the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0147] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the system, device and unit described above can refer to the corresponding processes in the foregoing method embodiments, and will not be described here.

[0148] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, that is, they can be located in one place, or they can be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

[0149] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

Claims

1. A transmission line repair decision-making method based on corona recognition, characterized in that, The method includes: Obtain the ideal corona distribution envelope of the transmission line under healthy operating conditions as the original comparison benchmark after repair; periodically collect dynamic frequency domain corona fingerprint data of the repaired area after grid connection; and simultaneously acquire the heat flux gradient of the contact interface and micromechanical vibration mode data of the repaired area. The ideal corona distribution envelope is specifically: a full-phase corona characteristic spectrum of the repaired region under ideal contact conditions based on Maxwell's electromagnetic field simulation, and the specific steps are as follows: S11: Extract the work function of the hardware material used in the repair area and the oxidation degree distribution of the old wire substrate to determine the range of contact potential difference at the repair interface; S12: Construct a three-dimensional electric field vector model of the repair area based on the line voltage level, and simulate and calculate the reference value of the electric field distortion rate at the junction of the new and old metals under the preset fastening pressure. S13: Calculate and obtain the symmetric distribution probability density function of the full-phase ultraviolet pulse under ideal repair conditions. As a baseline spectrum; Periodically collect dynamic frequency domain corona fingerprint data of the repair area after it is connected to the grid; simultaneously acquire the heat flux gradient of the contact interface and micromechanical vibration mode data of the repair area, specifically including: in the 240nm-280nm solar blind ultraviolet band, collect the reference spectrum of the corona pulse within a unit period, and extract the phase distribution skewness and the imbalance rate of the positive and negative half-cycle energy envelope of the corona pulse within a unit period; Real-time monitoring of the local temperature rise gradient at both ends of the repair pipe and the frequency of interfacial alternating stress caused by conductor galloping ; The heat flux gradient of the contact interface, micromechanical vibration modal data and dynamic frequency domain corona fingerprint data are imported into the robustness assessment strategy of microgap breathing effect for repairing heterogeneous interfaces, and the dynamic stability weight index of the repaired interface is calculated. The robustness assessment strategy for the micro-gap breathing effect of the repaired heterogeneous interface includes: S21: Calculate the micro-displacement variation coefficient of the heterogeneous interface based on the thermal cycle caused by load changes; S22: By using real-time phase maps Compared with the baseline spectrum Perform phase correlation matching to extract phase drift. Calculate the corona response following index of the repair interface; S23: Based on the evolution of the equivalent contact resistance at the interface of the repaired area, calculate the electrochemical shielding failure coefficient of the repaired area within the j-th unit time. ; The calculation strategy for the dynamic stability weight index of the repair interface is as follows: First, obtain the corona response following index of the repair interface; The heterogeneous interface micro-displacement variation coefficient and the electrochemical shielding failure coefficient are then nonlinearly multiplied and coupled, and the risk penalty base of the transmission line repair interface is constructed by exponentializing the natural constant. Then, the corona response following index of the repaired interface is divided by the sum of the risk penalty base and 1 to obtain the dynamic stability weight index of the repaired interface. ; A dynamic model of asymmetric space charge accumulation at the heterogeneous interface of new and old materials in the repair area is established. Dynamic frequency domain corona fingerprint data is input into the dynamic model to analyze the difference in charge migration between positive and negative half cycles and output the polarization discharge intensity index of the heterogeneous interface in the repair area. The dynamic stability weight index of the repair interface and the polarization discharge intensity index of the heterogeneous interface are input into the subcritical evolution decision model of repair quality to identify the false compliance risk of the transmission line and issue operation and maintenance decision instructions for the repair area.

2. The transmission line repair decision-making method based on corona recognition according to claim 1, characterized in that, The dynamic model of the asymmetric space charge accumulation includes: S31: Extract the energy level deviation at the maximum point of the discharge phase during the positive and negative half-cycles of the voltage, and calculate the polarization asymmetry component. ; S32: Based on the thermionic emission effect and combined with interfacial heat flux, calculate the subcritical discharge evolution slope induced by local defects. ; S33: Derive the polarization asymmetry component and the subcritical discharge evolution slope, and calculate the repair consistency evolution factor.

3. The transmission line repair decision-making method based on corona recognition according to claim 2, characterized in that, The strategy for obtaining the polarization discharge intensity index at the heterogeneous interface is as follows: First, the polarization asymmetry component and the subcritical discharge evolution slope are weighted and summed according to a preset weight ratio to construct the basic energy base of the interface discharge characteristics. Then, the basic energy base is multiplied by the natural constant exponential function with the participation of the repair consistency evolution factor to finally obtain the polarization discharge intensity index of the heterogeneous interface. .

4. The transmission line repair decision-making method based on corona recognition according to claim 3, characterized in that, The subcritical evolutionary decision model for repair quality includes: S51: Construct a function to improve health and repair performance. ; S52: If If the value is less than 0.65, a latent defect alarm will be automatically triggered. S53: Based on Based on the rate of change of the monitoring cycle, predict the performance evolution trend within the next maintenance cycle and generate a prediction sequence for the effectiveness of repair quality. S54: Map the predicted sequence generated in S53 to specific on-site corrective actions.

5. A transmission line repair decision system based on corona recognition, used to implement the transmission line repair decision method based on corona recognition as described in any one of claims 1-4, characterized in that, The system includes: Heterogeneous interface fingerprint acquisition module, multi-field stability assessment module, asymmetric charge dynamic analysis module, and differentiated operation and maintenance instruction execution module; The heterogeneous interface fingerprint acquisition module is used to acquire the ideal corona distribution envelope of the transmission line under healthy operating conditions, as the original comparison benchmark after repair; periodically acquire dynamic frequency domain corona fingerprint data of the repair area after grid connection; and simultaneously acquire the heat flux gradient of the contact interface and micromechanical vibration mode data of the repair area. The multi-field stability assessment module is used to import the heat flux gradient of the contact interface, micromechanical vibration modal data and dynamic frequency domain corona fingerprint data into the robustness assessment strategy of micro-gap breathing effect for repairing heterogeneous interfaces, and calculate and obtain the dynamic stability weight index of the repair interface. The asymmetric charge dynamic analysis module is used to establish a dynamic model of asymmetric space charge accumulation at the heterogeneous interface of new and old materials in the repair area. The dynamic frequency domain corona fingerprint data is input into the dynamic model to analyze the difference in charge migration between positive and negative half cycles and output the polarization discharge intensity index of the heterogeneous interface in the repair area. The differentiated operation and maintenance instruction execution module is used to input the dynamic stability weight index of the repair interface and the polarization discharge intensity index of the heterogeneous interface into the subcritical evolution decision model of repair quality, identify the false compliance risk of the transmission line, and issue operation and maintenance decision instructions for the repair area.

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