Method, device, computer equipment and storage medium for locating local discharge of high voltage equipment

Abstract

The embodiment of the present invention discloses a method, device, computer equipment and storage medium for locating partial discharge of high-voltage equipment. The method comprises: obtaining electromagnetic wave signals excited by discharge of high-voltage equipment, ultrasonic signals generated by discharge of high-voltage equipment, partial discharge ultra-high frequency signals and partial discharge ultrasonic signals to obtain an initial signal; performing signal analysis on the initial signal to calculate the distance from the discharge position to each ultrasonic receiver; performing a coarse-grained search for the discharge position according to the distance from the discharge position to each ultrasonic receiver until a stop condition is met to obtain a first search result; performing a fine-grained search for the discharge position in the first search result until a stop condition is met to obtain a partial discharge position. By implementing the method of the embodiment of the present invention, the accuracy of the combined electro-acoustic positioning of partial discharge can be effectively improved, and the deployment of monitoring equipment in high-voltage equipment rooms and switchgears can be reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of online monitoring, diagnosis and early warning methods, and in particular to a method, device, computer equipment and storage medium for locating partial discharge of high-voltage equipment. Background Art

[0002] At present, the failure of high-voltage equipment in railway traction systems is mainly related to insulation problems, and the early abnormalities of insulation problems often manifest as partial discharge. Real-time monitoring of partial discharge of high-voltage equipment is the key to ensuring the normal and stable operation of the equipment. At present, partial discharge monitoring is usually achieved by installing sensors on each high-voltage device, but due to the large number of high-voltage equipment in the switchgear, this method results in high monitoring costs, narrow coverage, and the inability to accurately locate the discharge position.

[0003] Therefore, it is necessary to design a new method to effectively improve the accuracy of joint electro-acoustic positioning of partial discharge and reduce the deployment of monitoring equipment in high-voltage equipment rooms and switchgear. Summary of the invention

[0004] The purpose of the present invention is to overcome the defects of the prior art and provide a method, device, computer equipment and storage medium for locating partial discharge of high-voltage equipment.

[0005] To achieve the above object, the present invention adopts the following technical solution: a method for locating partial discharge of high-voltage equipment, comprising:

[0006] Acquire the electromagnetic wave signal excited by the discharge of the high-voltage equipment, the ultrasonic signal generated by the discharge of the high-voltage equipment, the partial discharge ultra-high frequency signal and the partial discharge ultrasonic signal to obtain the initial signal;

[0007] Performing signal analysis on the initial signal to calculate the distance from the discharge position to each ultrasonic receiver;

[0008] Perform a coarse-grained search of the discharge position according to the distance from the discharge position to each ultrasonic receiver until a stop condition is met to obtain a first search result;

[0009] A fine search of the discharge position is performed in the first search result until a stop condition is met to obtain a partial discharge position.

[0010] A further technical solution is to perform signal analysis on the initial signal and calculate the distance from the discharge position to each ultrasonic receiver, including:

[0011] Determine the first highest peak after the trigger signal from the initial signal, and record the time corresponding to the first highest peak;

[0012] Calculate the difference between the time corresponding to the first highest peak and the time corresponding to the corresponding trigger signal to obtain the time difference;

[0013] The distance from the discharge position to each ultrasonic receiver is calculated according to the time difference and the sound speed.

[0014] A further technical solution is: the coarse-grained search of the discharge position is performed according to the distance from the discharge position to each ultrasonic receiver until a stop condition is met to obtain a first search result, including:

[0015] The space is divided into several small space blocks, the shortest distance from each space block to each ultrasonic receiver is calculated, and eight space blocks with the smallest sum of distances are selected as candidate areas, and each space block is represented by its central coordinates to obtain the first search result.

[0016] A further technical solution is: the space is divided into several small space blocks, the shortest distance from each space block to each ultrasonic receiver is calculated, and eight space blocks with the smallest sum of distances are selected as candidate areas, and each space block is represented by its center coordinates to obtain the first search result, including:

[0017] Randomly generate the initial solution space;

[0018] Select individuals for reproduction according to a predefined fitness evaluation function to obtain a solution space;

[0019] Select a set number of solutions from the solution space as crossover objects and set the crossover probability;

[0020] Randomly change the labels of the space blocks in the solution space to obtain a new generation of solution space;

[0021] Determine whether the distance error from the eight space blocks in the new generation solution space to each ultrasonic receiver is less than 1 or whether the number of iterations reaches a set threshold;

[0022] If the distance error from the eight spatial blocks in the new generation solution space to each ultrasonic receiver is less than a set value or the number of iterations reaches a set threshold, the solution corresponding to the minimum sum of the shortest distances from each spatial block in the new generation solution space to each ultrasonic receiver is determined as the first search result.

[0023] Its further technical solution is: the crossover probability is 0.5.

[0024] A further technical solution is: randomly changing the labels of the space blocks in the solution space to obtain a new generation of solution space includes:

[0025] The labels of the spatial blocks in the solution space are randomly changed with a mutation probability of 0.1 to obtain a new generation of solution space.

[0026] A further technical solution is: performing a fine search of the discharge position in the first search result until a stop condition is met to obtain a partial discharge position, including:

[0027] The particle swarm algorithm is used to further refine the specific location of the power generation location in the first search result to obtain the partial discharge location.

[0028] The present invention also provides a local discharge positioning device for high voltage equipment, comprising:

[0029] A signal acquisition unit is used to acquire electromagnetic wave signals excited by discharge of high-voltage equipment, ultrasonic signals generated by discharge of high-voltage equipment, partial discharge ultra-high frequency signals, and partial discharge ultrasonic signals, so as to obtain an initial signal;

[0030] An analysis unit, used for performing signal analysis on the initial signal and calculating the distance from the discharge position to each ultrasonic receiver;

[0031] A coarse-grained search unit, used to perform a coarse-grained search of the discharge position according to the distance from the discharge position to each ultrasonic receiver until a stop condition is met to obtain a first search result;

[0032] A fineness search unit is used to perform a fineness search of the discharge position in the first search result until a stop condition is met to obtain a partial discharge position.

[0033] The present invention further provides a computer device, which includes a memory and a processor. The memory stores a computer program, and the processor implements the above method when executing the computer program.

[0034] The present invention also provides a storage medium, wherein the storage medium stores a computer program, and the computer program implements the above method when executed by a processor.

[0035] Compared with the prior art, the present invention has the following beneficial effects: the present invention collects electromagnetic waves, ultrasonic waves, partial discharge ultra-high frequency and partial discharge ultrasonic signals generated when high-voltage equipment discharges, and then roughly and accurately searches for the discharge position through analysis and distance calculation, thereby effectively improving the accuracy of electro-acoustic joint positioning of partial discharges and reducing the deployment of monitoring equipment in high-voltage equipment rooms and switchgears.

[0036] The present invention is further described below in conjunction with the accompanying drawings and specific embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying any creative work.

[0038] Figure 1 A schematic diagram of an application scenario of a method for locating partial discharge of high-voltage equipment provided by an embodiment of the present invention;

[0039] Figure 2 A schematic diagram of a flow chart of a method for locating partial discharge of high-voltage equipment provided by an embodiment of the present invention;

[0040] Figure 3 A schematic diagram of a sub-process for calculating the distance from the discharge position to each ultrasonic receiver in the method for locating partial discharge of high-voltage equipment provided by an embodiment of the present invention;

[0041] Figure 4 A schematic diagram of a sub-process for obtaining a first search result of a method for locating partial discharge of high-voltage equipment provided by an embodiment of the present invention;

[0042] Figure 5 A site space layout diagram provided for an embodiment of the present invention;

[0043] Figure 6 A schematic block diagram of a local discharge locating device for high-voltage equipment provided by an embodiment of the present invention;

[0044] Figure 7 A schematic block diagram of a parsing unit of a local discharge locating device for high-voltage equipment provided by an embodiment of the present invention;

[0045] Figure 8 A schematic block diagram of a coarse-grained search unit of a device for locating partial discharge of high-voltage equipment provided by an embodiment of the present invention;

[0046] Fig. 9 A schematic block diagram of a computer device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] It should be understood that when used in this specification and the appended claims, the terms "include" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0049] It should also be understood that the terms used in this specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the specification of the present invention and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0050] It should be further understood that the term "and / or" used in the present description and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0051] See also Figure 1 and Figure 2 , Figure 1 A schematic diagram of an application scenario of the method for locating partial discharge of high-voltage equipment provided in an embodiment of the present invention. Figure 2 A schematic flow chart of a method for locating partial discharge of high-voltage equipment provided in an embodiment of the present invention. The method for locating partial discharge of high-voltage equipment is applied to a positioning algorithm server. The positioning algorithm server is connected to a partial discharge synchronous acquisition host, and the partial discharge synchronous acquisition host is connected to 5 ultrasonic acquisition sensors and 1 ultra-high frequency signal acquisition sensor, wherein each ultrasonic acquisition sensor includes an ultrasonic receiver, and the ultra-high frequency signal acquisition sensor is also the ultra-high frequency signal sensor of this embodiment; by measuring the distance between the located discharge position and the ultra-high frequency signal sensor and the five ultrasonic receivers, the spatial coordinates of the located discharge position are calculated.

[0052] Figure 2 FIG. 1 is a flow chart of a method for locating local discharge of high voltage equipment provided by an embodiment of the present invention. Figure 2 As shown, the method includes the following steps S110 to S140.

[0053] S110, acquiring electromagnetic wave signals excited by discharge of high-voltage equipment, ultrasonic signals generated by discharge of high-voltage equipment, partial discharge ultra-high frequency signals, and partial discharge ultrasonic signals, to obtain initial signals.

[0054] In some high-voltage electrical equipment of industrial equipment, partial discharge may occur due to insulation failure. This partial discharge not only generates electromagnetic waves and ultrasonic waves, but may also be accompanied by other physical or chemical phenomena. These phenomena are often regarded as early signs of insulation failure and can therefore be effectively used to predict, forecast and prevent equipment failure.

[0055] This embodiment uses electromagnetic waves and ultrasonic waves generated by partial discharge as key characteristic parameters for joint monitoring and diagnosis.

[0056] Ultrasonic characteristics: The frequency of ultrasonic signals generated by partial discharge is usually between 20KHz and 100KHz, and its waveform characteristics are obvious.

[0057] Electromagnetic wave characteristics: Partial discharge can also stimulate electromagnetic wave signals up to several GHz. These signals have characteristics related to the phase of the power frequency signal.

[0058] Positioning function: Using the ultra-high frequency electromagnetic wave of the partial discharge signal as the reference time (t0), combined with the phase difference of the received signals of multiple ultrasonic signals (propagation speed is about 344m / s), the position coordinates of the discharge signal in space can be calculated. This method realizes the precise positioning function of the partial discharge position.

[0059] In summary, by monitoring and analyzing the electromagnetic waves and ultrasonic signals generated by partial discharge, this system can detect signs of equipment insulation failure at an early stage, providing an important basis for equipment health management and preventive maintenance.

[0060] Specifically, electromagnetic wave signals refer to electromagnetic radiation waves generated during partial discharge, with frequencies up to several GHz. These signals can be used to analyze the characteristics and location of partial discharge.

[0061] Ultrasonic signal: The sound wave generated when a high-voltage device is partially discharged, with a frequency usually around 20kHz to 100kHz. The characteristics of the ultrasonic signal can provide important information about the discharge process and its characteristics.

[0062] Partial discharge ultra-high frequency signal: refers to the ultra-high frequency electromagnetic wave signal generated by partial discharge. Their propagation speed is very fast and they are usually used for locating and diagnosing the discharge position.

[0063] Partial discharge ultrasonic signals: refers to ultrasonic signals generated by partial discharge. Their propagation speed is relatively slow, but they can provide detailed information about the location of the discharge source and the discharge activity.

[0064] During the partial discharge process of electrical equipment, the neutralization of charge will cause drastic changes in the molecules at the discharge site, releasing heat energy and causing local expansion. After the discharge ends, the area that has expanded due to heat will quickly recover, but this process will cause the density of the medium to change, thus generating ultrasonic waves. This spherical ultrasonic wave centered on the discharge area can be converted into an electrical signal by an acoustic-electric converter, which can be captured and analyzed by an instrument to accurately determine the discharge location.

[0065] S120, performing signal analysis on the initial signal, and calculating the distance from the discharge position to each ultrasonic receiver.

[0066] In one embodiment, see Figure 3 , the above-mentioned step S120 may include steps S121~S123.

[0067] S121, determining the first highest peak after the trigger signal from the initial signal, and recording the time corresponding to the first highest peak.

[0068] In this embodiment, the S0 signal is an electrical signal, which is used as a trigger signal, and its trigger time is recorded as (T0). The S1 to S5 signals are acoustic signals, which represent acoustic wave signals received from different ultrasonic receivers; for each acoustic signal (S1, S2, S3, S4, S5), it is necessary to find the first highest peak starting from (T0). Specifically, a signal processing algorithm (such as a peak detection algorithm) is used to detect the first highest peak in each acoustic signal. The time of the first highest peak in each acoustic signal is recorded (T1, T2, T3, T4, T5).

[0069] S122. Calculate the difference between the time corresponding to the first highest peak and the time corresponding to the corresponding trigger signal to obtain the time difference.

[0070] In this embodiment, for each acoustic signal, its corresponding time difference is calculated, that is, (t1=T1-T0, t2=T2-T0, t3=T3-T0, t4=T4-T0, t5=T5-T0). These time differences represent the time interval from the trigger signal (T0) to the first highest peak of the acoustic signal.

[0071] S123, calculating the distance from the discharge position to each ultrasonic receiver according to the time difference and the sound speed.

[0072] In this embodiment, the speed of sound propagation in the air is related to the temperature at that time but the relationship is not very close; the speed of sound wave propagation in the air at 0°C is 332 m / s; at 20°C it is 344 m / s; at 30°C it is 349 m / s; based on the above data, if the speed of sound in the air increases uniformly with the increase of temperature; through simple calculation, it is obtained that the speed of sound increases by about 0.6 m / s when the temperature increases by 1°C; in this embodiment, the speed of sound wave propagation in the air at 20°C is 340 m / s.

[0073] Use the sound speed (340) m / s to calculate the distance from the discharge point to each ultrasonic receiver: (d1=t1\times340) meters; (d2=t2\times340) meters; (d3=t3\times340) meters; (d4=t4\times340) meters; (d5=t5\times340) meters.

[0074] S130 , performing a coarse-grained search of the discharge position according to the distance from the discharge position to each ultrasonic receiver until a stop condition is met to obtain a first search result.

[0075] For the process of searching for the location of partial discharge, specifically, a point P whose distances from s1, s2, s3, s4 and s5 are d1, d2, d3, d4 and d5 is searched in space, and the coordinates of point p are defined as pv=(x, y, z), so that the distance from point p to s1, s2, s3, s4, s5 is the shortest, that is, Minimum; from this we can see that dd refers to the minimum value of the sum of the distances to each ultrasonic receiver.

[0076] In this embodiment, the first search result refers to the approximate position of the discharge position obtained after a coarse-grained search.

[0077] Specifically, the space is divided into several small spatial blocks, the shortest distance from each spatial block to each ultrasonic receiver is calculated, and the eight spatial blocks with the smallest sum of distances are selected as candidate areas, and each spatial block is represented by its central coordinates to obtain the first search result. Figure 5 In the space shown, the Figure 5 The figure shows a scene in which a number of acoustic partial discharge devices, ultra-high frequency partial discharge devices, and cameras are installed in the space of a high-voltage switch room to locate the discharge positions on multiple switch cabinets, wherein t1, t2, t3, t4, and t5 in the figure represent the distance from the discharge position to the corresponding equipment.

[0078] Specifically, by dividing the space x, y, z into several small spaces, calculating the shortest distance from each small space to s1, s2, s3, s4, s5, and selecting the 8 space blocks that minimize dd, it is shown that the discharge originates from these small space blocks. By dividing the space into n blocks and labeling each block as i, the center coordinates of block i are defined as (Xi, Yi, Zi).

[0079] Specifically, the space refers to the area where the equipment where partial discharge occurs is located.

[0080] In one embodiment, see Figure 4 , the above-mentioned step S130 may include steps S131~S136.

[0081] S131. Randomly generate an initial solution space.

[0082] In this embodiment, the solution space is initialized, and 200 candidate solutions are randomly generated. Each solution is a list of 8 elements, and the elements in the list are the numbers of the space blocks, forming an initial solution space.

[0083] S132. Select individuals for reproduction according to a predefined fitness evaluation function to obtain a solution space.

[0084] In this embodiment, the fitness evaluation function is expressed as , where i represents the number of 5 ultrasonic receivers and n represents the number of 8 points in space. Represents the spatial coordinates of one of the eight points in space, Indicates the spatial coordinates of one of the five ultrasonic receivers.

[0085] According to the fitness, individuals in the initial solution space are selected for reproduction, and the probability Select candidate solutions, where N is 200, is the fitness evaluation function of the i-th candidate solution, indicating the number of solution spaces.

[0086] S133. Select a set number of solutions from the solution space as crossover objects, and set the crossover probability.

[0087] In this embodiment, 20 pairs of solutions are selected as crossover objects, and the crossover probability PC is set to 0.5, that is, four elements in each solution are crossed, and the principle of crossover is to retain smaller spatial blocks of dd1.

[0088] S134. Randomly change the labels of the space blocks in the solution space to obtain a new generation of solution space.

[0089] In this embodiment, for the solutions generated by crossover, the spatial block labels in the solution space are randomly changed with a mutation probability PM=0.1 to improve the diversity of the solution space and prevent the algorithm from converging to a local optimal solution too early.

[0090] S135, determining whether the distance error from the eight space blocks in the new generation solution space to each ultrasonic receiver is less than 1 or whether the number of iterations reaches a set threshold;

[0091] S136. If the distance error from the eight spatial blocks in the new generation solution space to each ultrasonic receiver is less than a set value or the number of iterations reaches a set threshold, the solution corresponding to the minimum sum of the shortest distances from each spatial block in the new generation solution space to each ultrasonic receiver is determined as the first search result.

[0092] If the distance error from the eight space blocks in the new generation solution space to each ultrasonic receiver is not less than the set value and the number of iterations does not reach the set threshold, step S132 is executed.

[0093] Repeat the above steps S132~S134 to generate a new generation of solution space. The number of individuals in the new solution space is the same as that in the original solution space, and the individuals in the new solution space can be generated by the operations S132~S134. When it is satisfied, that is, the distance error from the 8 spatial blocks found to each ultrasonic receiver is less than 1, the algorithm stops iterating, that is, S132~S134 is no longer executed; at the same time, if the maximum number of iterations is 100, the iteration is also stopped. The smallest solution in the solution space is selected as the first search result.

[0094] The algorithm can accurately locate the approximate location of the discharge source by dividing the space into small blocks and calculating the shortest distance from each block to multiple ultrasonic receivers. This method can effectively reduce errors and improve positioning accuracy.

[0095] The optimization idea of ​​genetic algorithm is adopted to randomly generate the initial solution space, evaluate the fitness function, select the breeding individuals, perform crossover and mutation operations, and finally obtain the optimized solution space. This automated optimization process can find the optimal solution in a large number of possible solution spaces, improving the calculation efficiency and search effect.

[0096] The setting of fitness evaluation function and crossover and mutation probabilities makes the algorithm highly adaptable and can adaptively adjust the solution space under different conditions, so that it converges to the local optimal solution faster and thus finds the location of the discharge source more effectively.

[0097] The structure and parameter settings can be adjusted and expanded according to specific needs to adapt to different environments and application scenarios. This flexibility allows the algorithm to be applied to various occasions that require precise positioning, such as power equipment detection, industrial equipment maintenance, etc.

[0098] In general, by combining space partitioning, fitness evaluation and optimization search, the accuracy and efficiency of localization of partial discharge are improved, so that it can be effectively applied in practical engineering.

[0099] S140: Perform a fine-grained search for a discharge position in the first search results until a stop condition is met to obtain a partial discharge position.

[0100] In this embodiment, the partial discharge position refers to a specific and more accurate coordinate of the partial discharge.

[0101] Specifically, the particle swarm algorithm is used to further refine the specific location of the power generation location in the first search result to obtain the partial discharge location.

[0102] The particle swarm optimization algorithm is used to search for the specific location of the discharge source in the candidate space, thereby further reducing the dd value. The core of the particle swarm optimization algorithm is to iteratively update the position and velocity of each particle to minimize a given fitness function. In this context, the fitness function may be used to evaluate the accuracy and loss of the discharge source location.

[0103] Specifically, the fitness function of the particle swarm optimization algorithm is ,in yes are the candidate point coordinates, is the coordinate of the ith ultrasonic receiver, 5 represents the number of 5 ultrasonic receivers, and the search range is , , ; Through iteration ,in represents the position of each particle at time t, Represents the speed of the particle at time t+1. The particle speed update formula is: , represents the velocity of the ith particle at time t. is the inertia weight, which controls the continuity of particle velocity. and are acceleration constants, which respectively adjust the maximum step length of the particle's flight toward the individual optimal solution and the global optimal solution. and is a random number uniformly distributed in the interval [0,1]. is the best position found so far by the ith particle. is the best position found so far by the entire swarm. By iteratively updating the position and velocity of the particles, the particle swarm algorithm can search for the optimal solution in the solution space to minimize the dd value and search to point p, which is the local discharge position.

[0104] Based on the initial search results, the particle swarm algorithm can find a more accurate partial discharge location by iteratively optimizing the position and speed of particles. This can improve the accuracy of locating the discharge source and ensure that the equipment can accurately monitor and locate partial discharge phenomena.

[0105] The optimization process of the particle swarm algorithm aims to minimize the fitness function, that is, to reduce the loss caused by the uncertainty of the discharge source location. Through a detailed search, the optimal discharge location can be selected to reduce the loss of equipment and systems and extend their life and stability.

[0106] Particle swarm optimization is an adaptive optimization method that does not require manual parameter adjustment and can automatically find the optimal solution in the search space. This automated optimization can save manpower and time costs and improve work efficiency.

[0107] Particle swarm optimization is applicable to a variety of optimization problems in engineering and science, including discharge source location. Its versatility and efficiency make it a powerful tool for solving complex problems.

[0108] In summary, the particle swarm optimization algorithm can significantly improve the accuracy of discharge position positioning and system stability by precisely searching the specific location of the discharge source, while reducing system losses. These advantages make it of great value and practical significance in engineering and scientific applications.

[0109] The above method utilizes a variety of signals, including electromagnetic waves, ultrasonic waves, and ultra-high frequency signals. The fusion of these signals can provide more comprehensive information. By analyzing and processing the initial signal and combining physical parameters such as the speed of sound, the distance from the discharge position to each receiver is calculated. This multi-signal fusion method can make up for the shortcomings that may occur in the propagation process of a single signal and improve the accuracy and reliability of positioning. A coarse-grained and fine-grained search strategy is adopted. First, a coarse-grained search is performed to divide the space into small blocks and calculate the distance to each receiver, and select the candidate area with the smallest total distance. Then, a refined search is performed in the candidate area, and an evolutionary algorithm (such as a particle swarm algorithm) is used to further optimize the specific coordinates of the discharge position. This strategy can improve the accuracy and stability of positioning while ensuring efficiency. It can effectively utilize the phase difference characteristics of the electromagnetic waves and sound waves generated by the discharge propagating in the air. The phase characteristics of different signals propagating in space can provide additional positioning information. By calculating the propagation time and phase difference of different signals and combining parameters such as the speed of sound, the location of the discharge can be determined more accurately. This method of comprehensive utilization of phase information enhances the ability to locate the discharge position. This can effectively improve the accuracy of the combined electro-acoustic positioning of partial discharges, thereby reducing the number of devices deployed for partial discharges in high-voltage equipment rooms and switchgear, and can effectively accurately locate the discharge position of high-voltage equipment based on the phase difference characteristics of the electromagnetic and acoustic waves generated by the discharge propagating in the air.

[0110] The above-mentioned method for locating partial discharge of high-voltage equipment collects the electromagnetic waves, ultrasonic waves, partial discharge ultra-high frequency and partial discharge ultrasonic signals generated by the high-voltage equipment during discharge, and then roughly and accurately searches for the discharge position through analysis and distance calculation, thereby effectively improving the accuracy of the combined electro-acoustic positioning of partial discharge and reducing the deployment of monitoring equipment in high-voltage equipment rooms and switchgears.

[0111] Figure 6 FIG. 3 is a schematic block diagram of a high-voltage equipment partial discharge location device 300 provided in an embodiment of the present invention. Figure 6 As shown, corresponding to the above high-voltage equipment partial discharge location method, the present invention also provides a high-voltage equipment partial discharge location device 300. The high-voltage equipment partial discharge location device 300 includes a unit for executing the above high-voltage equipment partial discharge location method, and the device can be configured in a server. Specifically, please refer to Figure 6 The high-voltage equipment partial discharge positioning device 300 includes a signal acquisition unit 301, an analysis unit 302, a coarse-grained search unit 303 and a fine-grained search unit 304.

[0112] The signal acquisition unit 301 is used to acquire the electromagnetic wave signal excited by the discharge of the high-voltage equipment, the ultrasonic signal generated by the discharge of the high-voltage equipment, the partial discharge ultra-high frequency signal and the partial discharge ultrasonic signal to obtain the initial signal; the analysis unit 302 is used to perform signal analysis on the initial signal and calculate the distance from the discharge position to each ultrasonic receiver; the coarse-grained search unit 303 is used to perform a coarse-grained search of the discharge position according to the distance from the discharge position to each ultrasonic receiver until a stop condition is met to obtain a first search result; the fineness search unit 304 is used to perform a fineness search of the discharge position in the first search result until a stop condition is met to obtain a local discharge position.

[0113] In one embodiment, if Figure 7 As shown, the parsing unit 302 includes a recording subunit 3021 , a time difference calculation subunit 3022 , and a distance calculation subunit 3023 .

[0114] The recording subunit 3021 is used to determine the first highest peak after the trigger signal from the initial signal, and record the time corresponding to the first highest peak; the time difference calculation subunit 3022 is used to calculate the difference between the time corresponding to the first highest peak and the time corresponding to the corresponding trigger signal to obtain the time difference; the distance calculation subunit 3023 is used to calculate the distance from the discharge position to each ultrasonic receiver based on the time difference and the sound speed.

[0115] In one embodiment, the coarse-grained search unit 303 is used to divide the space into several small spatial blocks, calculate the shortest distance from each spatial block to each ultrasonic receiver, and select eight spatial blocks with the smallest sum of distances as candidate areas, and each spatial block is represented by its center coordinates to obtain the first search result.

[0116] In one embodiment, if Figure 8 As shown, the coarse-grained search unit 303 includes:

[0117] A random generation subunit 3031 is used to randomly generate an initial solution space; a reproduction subunit 3032 is used to select individuals for reproduction according to a predefined fitness evaluation function to obtain a solution space; a setting subunit 3033 is used to select a set number of solutions from the solution space as crossover objects and set the crossover probability; a changing subunit 3034 is used to randomly change the labels of the space blocks in the solution space to obtain a new generation solution space; a judging subunit 3035 is used to judge whether the distance error from the eight space blocks in the new generation solution space to each ultrasonic receiver is less than 1 or whether the number of iterations reaches a set threshold; a first search result determination subunit 3036 is used to determine that if the distance error from the eight space blocks in the new generation solution space to each ultrasonic receiver is less than a set value or the number of iterations reaches a set threshold, then determine that the solution corresponding to the minimum sum of the shortest distances from each space block in the new generation solution space to each ultrasonic receiver is the first search result.

[0118] In one embodiment, the changing subunit 3034 is used to randomly change the labels of the space blocks in the solution space with a mutation probability of 0.1 to obtain a new generation of solution space.

[0119] In one embodiment, the fineness search unit 304 is used to use a particle swarm algorithm to further refine the specific location of the power generation location in the first search result to obtain a partial discharge location.

[0120] It should be noted that those skilled in the art can clearly understand that the specific implementation process of the above-mentioned high-voltage equipment partial discharge locating device 300 and each unit can refer to the corresponding description in the aforementioned method embodiment, and for the convenience and brevity of description, it will not be repeated here.

[0121] The above-mentioned high-voltage equipment partial discharge location device 300 can be implemented in the form of a computer program. The computer program can be used in Fig. 9 Runs on the computer device shown.

[0122] See also Fig. 9 , Fig. 9 5 is a schematic block diagram of a computer device provided in an embodiment of the present application. The computer device 500 may be a server, wherein the server may be an independent server or a server cluster composed of multiple servers.

[0123] See also Fig. 9 The computer device 500 includes a processor 502 , a memory and a network interface 505 connected via a system bus 501 , wherein the memory may include a non-volatile storage medium 503 and an internal memory 504 .

[0124] The non-volatile storage medium 503 can store an operating system 5031 and a computer program 5032. The computer program 5032 includes program instructions, and when the program instructions are executed, the processor 502 can execute a method for locating partial discharge of high-voltage equipment.

[0125] The processor 502 is used to provide computing and control capabilities to support the operation of the entire computer device 500 .

[0126] The internal memory 504 provides an environment for the operation of the computer program 5032 in the non-volatile storage medium 503. When the computer program 5032 is executed by the processor 502, the processor 502 can execute a method for locating partial discharge of high-voltage equipment.

[0127] The network interface 505 is used to communicate with other devices over the network. Fig. 9 The structure shown in the figure is merely a block diagram of a portion of the structure related to the solution of the present application, and does not constitute a limitation on the computer device 500 to which the solution of the present application is applied. The specific computer device 500 may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0128] The processor 502 is used to run the computer program 5032 stored in the memory to implement the following steps:

[0129] The electromagnetic wave signal excited by the discharge of the high-voltage equipment, the ultrasonic signal generated by the discharge of the high-voltage equipment, the partial discharge ultra-high frequency signal and the partial discharge ultrasonic signal are obtained to obtain the initial signal; the initial signal is analyzed to calculate the distance from the discharge position to each ultrasonic receiver; a coarse-grained search of the discharge position is performed according to the distance from the discharge position to each ultrasonic receiver until a stop condition is met to obtain a first search result; a fine-grained search of the discharge position is performed in the first search result until a stop condition is met to obtain a partial discharge position.

[0130] In one embodiment, the processor 502 implements the following steps when performing signal analysis on the initial signal and calculating the distance from the discharge position to each ultrasonic receiver:

[0131] Determine the first highest peak after the trigger signal from the initial signal, and record the time corresponding to the first highest peak; calculate the difference between the time corresponding to the first highest peak and the time corresponding to the corresponding trigger signal to obtain the time difference; calculate the distance from the discharge position to each ultrasonic receiver based on the time difference and the sound speed.

[0132] In one embodiment, when the processor 502 implements the step of performing a coarse-grained search for the discharge position according to the distance from the discharge position to each ultrasonic receiver until a stop condition is satisfied to obtain the first search result, the processor 502 specifically implements the following steps:

[0133] The space is divided into several small space blocks, the shortest distance from each space block to each ultrasonic receiver is calculated, and eight space blocks with the smallest sum of distances are selected as candidate areas, and each space block is represented by its central coordinates to obtain the first search result.

[0134] In one embodiment, when the processor 502 implements the step of dividing the space into a plurality of small space blocks, calculating the shortest distance from each space block to each ultrasonic receiver, and selecting eight space blocks with the smallest sum of distances as candidate areas, and each space block is represented by its center coordinates to obtain the first search result, the processor 502 specifically implements the following steps:

[0135] Randomly generate an initial solution space; select individuals for reproduction according to a predefined fitness evaluation function to obtain a solution space; select a set number of solutions from the solution space as crossover objects, and set the crossover probability; randomly change the labels of the space blocks in the solution space to obtain a new generation of solution space; determine whether the distance error from the eight space blocks in the new generation of solution space to each ultrasonic receiver is less than 1 or whether the number of iterations reaches a set threshold; if the distance error from the eight space blocks in the new generation of solution space to each ultrasonic receiver is less than a set value or the number of iterations reaches a set threshold, determine that the solution corresponding to the minimum sum of the shortest distances from each space block in the new generation of solution space to each ultrasonic receiver is the first search result.

[0136] Wherein, the crossover probability is 0.5.

[0137] In one embodiment, when the processor 502 implements the step of randomly changing the labels of the space blocks in the solution space to obtain a new generation of solution space, the processor 502 specifically implements the following steps:

[0138] The labels of the spatial blocks in the solution space are randomly changed with a mutation probability of 0.1 to obtain a new generation of solution space.

[0139] In one embodiment, when the processor 502 performs a fine search for the discharge position in the first search result until a stop condition is satisfied to obtain the partial discharge position, the processor 502 specifically implements the following steps:

[0140] The particle swarm algorithm is used to further refine the specific location of the power generation location in the first search result to obtain the partial discharge location.

[0141] It should be understood that in the embodiment of the present application, the processor 502 may be a central processing unit (CPU), and the processor 502 may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0142] It can be understood by those skilled in the art that all or part of the processes in the method for implementing the above embodiment can be completed by instructing the relevant hardware through a computer program. The computer program includes program instructions, and the computer program can be stored in a storage medium, which is a computer-readable storage medium. The program instructions are executed by at least one processor in the computer system to implement the process steps of the embodiment of the above method.

[0143] Therefore, the present invention also provides a storage medium. The storage medium may be a computer-readable storage medium. The storage medium stores a computer program, wherein when the computer program is executed by a processor, the processor executes the following steps:

[0144] The electromagnetic wave signal excited by the discharge of the high-voltage equipment, the ultrasonic signal generated by the discharge of the high-voltage equipment, the partial discharge ultra-high frequency signal and the partial discharge ultrasonic signal are obtained to obtain the initial signal; the initial signal is analyzed to calculate the distance from the discharge position to each ultrasonic receiver; a coarse-grained search of the discharge position is performed according to the distance from the discharge position to each ultrasonic receiver until a stop condition is met to obtain a first search result; a fine-grained search of the discharge position is performed in the first search result until a stop condition is met to obtain a partial discharge position.

[0145] In one embodiment, when the processor executes the computer program to implement the step of performing signal analysis on the initial signal and calculating the distance from the discharge position to each ultrasonic receiver, the processor specifically implements the following steps:

[0146] Determine the first highest peak after the trigger signal from the initial signal, and record the time corresponding to the first highest peak; calculate the difference between the time corresponding to the first highest peak and the time corresponding to the corresponding trigger signal to obtain the time difference; calculate the distance from the discharge position to each ultrasonic receiver based on the time difference and the sound speed.

[0147] In one embodiment, when the processor executes the computer program to implement the step of performing a coarse-grained search for the discharge position according to the distance from the discharge position to each ultrasonic receiver until a stop condition is satisfied to obtain a first search result, the processor specifically implements the following steps:

[0148] The space is divided into several small space blocks, the shortest distance from each space block to each ultrasonic receiver is calculated, and eight space blocks with the smallest sum of distances are selected as candidate areas, and each space block is represented by its central coordinates to obtain the first search result.

[0149] In one embodiment, when the processor executes the computer program to implement the step of dividing the space into a number of small space blocks, calculating the shortest distance from each space block to each ultrasonic receiver, and selecting eight space blocks with the smallest sum of distances as candidate areas, and each space block is represented by its center coordinates to obtain the first search result, the processor specifically implements the following steps:

[0150] Randomly generate an initial solution space; select individuals for reproduction according to a predefined fitness evaluation function to obtain a solution space; select a set number of solutions from the solution space as crossover objects, and set the crossover probability; randomly change the labels of the space blocks in the solution space to obtain a new generation of solution space; determine whether the distance error from the eight space blocks in the new generation of solution space to each ultrasonic receiver is less than 1 or whether the number of iterations reaches a set threshold; if the distance error from the eight space blocks in the new generation of solution space to each ultrasonic receiver is less than a set value or the number of iterations reaches a set threshold, determine that the solution corresponding to the minimum sum of the shortest distances from each space block in the new generation of solution space to each ultrasonic receiver is the first search result.

[0151] Wherein, the crossover probability is 0.5.

[0152] In one embodiment, when the processor executes the computer program to implement the step of randomly changing the labels of the space blocks in the solution space to obtain a new generation of solution space, the processor specifically implements the following steps:

[0153] The labels of the spatial blocks in the solution space are randomly changed with a mutation probability of 0.1 to obtain a new generation of solution space.

[0154] In one embodiment, when the processor executes the computer program to implement the step of performing a fine search for the discharge position in the first search result until a stop condition is satisfied to obtain the partial discharge position, the processor specifically implements the following steps:

[0155] The particle swarm algorithm is used to further refine the specific location of the power generation location in the first search result to obtain the partial discharge location.

[0156] The storage medium may be a USB flash drive, a mobile hard disk, a read-only memory (ROM), a magnetic disk, or an optical disk, etc., which are computer-readable storage media that can store program codes.

[0157] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0158] In the several embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of each unit is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed.

[0159] The steps in the method of the embodiment of the present invention can be adjusted in order, combined and deleted according to actual needs. The units in the device of the embodiment of the present invention can be combined, divided and deleted according to actual needs. In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0160] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, terminal, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention.

[0161] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A method for locating partial discharge of high voltage equipment, characterized in that: include: Acquire the electromagnetic wave signal excited by the discharge of the high-voltage equipment, the ultrasonic signal generated by the discharge of the high-voltage equipment, the partial discharge ultra-high frequency signal and the partial discharge ultrasonic signal to obtain the initial signal; Performing signal analysis on the initial signal to calculate the distance from the discharge position to each ultrasonic receiver; Perform a coarse-grained search of the discharge position according to the distance from the discharge position to each ultrasonic receiver until a stop condition is met to obtain a first search result; Performing a fine search for the discharge position in the first search result until a stop condition is met to obtain a partial discharge position; The coarse-grained search of the discharge position is performed according to the distance from the discharge position to each ultrasonic receiver until a stop condition is satisfied to obtain a first search result, including: Divide the space into several small space blocks, calculate the shortest distance from each space block to each ultrasonic receiver, and select eight space blocks with the smallest sum of distances as candidate areas, and each space block is represented by its center coordinates to obtain the first search result; The method of dividing the space into several small space blocks, calculating the shortest distance from each space block to each ultrasonic receiver, and selecting eight space blocks with the smallest sum of distances as candidate areas, and each space block is represented by its center coordinates to obtain the first search result, including: Randomly generate the initial solution space; Select individuals for reproduction according to a predefined fitness evaluation function to obtain a solution space; Select a set number of solutions from the solution space as crossover objects and set the crossover probability; Randomly change the labels of the space blocks in the solution space to obtain a new generation of solution space; Determine whether the distance error from the eight space blocks in the new generation solution space to each ultrasonic receiver is less than 1 or whether the number of iterations reaches a set threshold; If the distance error from the eight spatial blocks in the new generation solution space to each ultrasonic receiver is less than a set value or the number of iterations reaches a set threshold, the solution corresponding to the minimum sum of the shortest distances from each spatial block in the new generation solution space to each ultrasonic receiver is determined as the first search result.

2. The method for locating partial discharge of high-voltage equipment according to claim 1, characterized in that: The initial signal is analyzed to calculate the distance from the discharge position to each ultrasonic receiver, including: Determine the first highest peak after the trigger signal from the initial signal, and record the time corresponding to the first highest peak; Calculate the difference between the time corresponding to the first highest peak and the time corresponding to the corresponding trigger signal to obtain the time difference; The distance from the discharge position to each ultrasonic receiver is calculated according to the time difference and the sound speed.

3. The method for locating partial discharge of high-voltage equipment according to claim 1, characterized in that: The crossover probability is 0.

5.

4. The method for locating partial discharge of high-voltage equipment according to claim 1, characterized in that: The randomly changing the labels of the space blocks in the solution space to obtain a new generation of solution space includes: The labels of the spatial blocks in the solution space are randomly changed with a mutation probability of 0.1 to obtain a new generation of solution space.

5. The method for locating partial discharge of high-voltage equipment according to claim 1, characterized in that: Performing a fine search of the discharge position in the first search result until a stop condition is satisfied to obtain the partial discharge position includes: The particle swarm algorithm is used to further refine the specific location of the power generation location in the first search result to obtain the partial discharge location.

6. A local discharge locating device for high voltage equipment, characterized in that: include: A signal acquisition unit is used to acquire electromagnetic wave signals excited by discharge of high-voltage equipment, ultrasonic signals generated by discharge of high-voltage equipment, partial discharge ultra-high frequency signals, and partial discharge ultrasonic signals, so as to obtain an initial signal; An analysis unit, used for performing signal analysis on the initial signal and calculating the distance from the discharge position to each ultrasonic receiver; A coarse-grained search unit, used to perform a coarse-grained search of the discharge position according to the distance from the discharge position to each ultrasonic receiver until a stop condition is met to obtain a first search result; A fineness search unit, configured to perform a fineness search of a discharge position in the first search result until a stop condition is met, so as to obtain a partial discharge position; A coarse-grained search unit is used to divide the space into a number of small space blocks, calculate the shortest distance from each space block to each ultrasonic receiver, and select eight space blocks with the smallest sum of distances as candidate areas, and each space block is represented by its center coordinates to obtain a first search result; The coarse-grained search unit includes: A random generation subunit is used to randomly generate an initial solution space; a reproduction subunit is used to select individuals for reproduction according to a predefined fitness evaluation function to obtain a solution space; a setting subunit is used to select a set number of solutions from the solution space as crossover objects and set the crossover probability; a changing subunit is used to randomly change the labels of the space blocks in the solution space to obtain a new generation solution space; a judgment subunit is used to judge whether the distance error from the eight space blocks in the new generation solution space to each ultrasonic receiver is less than 1 or whether the number of iterations reaches a set threshold; a first search result determination subunit is used to determine that if the distance error from the eight space blocks in the new generation solution space to each ultrasonic receiver is less than a set value or the number of iterations reaches a set threshold, then determine that the solution corresponding to the minimum sum of the shortest distances from each space block in the new generation solution space to each ultrasonic receiver is the first search result.

7. A computer device, characterized in that: The computer device comprises a memory and a processor, the memory stores a computer program, and the processor implements the method according to any one of claims 1 to 5 when executing the computer program.

8. A storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

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