CN112255508A - Partial discharge positioning method and device, computer equipment and storage medium - Google Patents
Partial discharge positioning method and device, computer equipment and storage medium Download PDFInfo
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- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1209—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing using acoustic measurements
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- G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
- G01S5/18—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using ultrasonic, sonic, or infrasonic waves
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Abstract
The application relates to a partial discharge positioning method, a partial discharge positioning device, computer equipment and a storage medium. The method comprises the following steps: acquiring a detection result of a local discharge ultrasonic signal output by an ultrasonic sensor; when the detection results of the ultrasonic sensors larger than or equal to the preset number threshold are obtained, combining the detection results to obtain a plurality of detection result combinations; determining a corresponding candidate partial discharge position according to each detection result in each detection result combination; performing cluster analysis on the candidate partial discharge positions, and selecting cluster clusters of which the average distance from each cluster element to a cluster center is smaller than a preset distance threshold from each cluster element to each cluster center obtained through the cluster analysis; and determining the partial discharge position represented by the cluster center of the selected cluster as a final partial discharge position. The method can improve the positioning accuracy.
Description
Technical Field
The present application relates to the field of computer technology and electrical technology, and in particular, to a method and an apparatus for locating partial discharge, a computer device, and a storage medium.
Background
The insulation medium of the electrical equipment can generate discharge in a local range under the action of a strong enough electric field, each partial discharge has certain influence on the insulation medium, and the partial discharge is an important reason causing the final insulation breakdown of the high-voltage electrical equipment and is also an important sign of insulation degradation. Therefore, it is very important to accurately locate the position of the partial discharge.
In the conventional method, an ultrasonic signal generated by the partial discharge is detected by an ultrasonic sensor installed near the high-voltage electrical equipment, but various noises often occur in a detection field, and the noises affect the positioning of the partial discharge, so that a large deviation is generated in a positioning result.
Disclosure of Invention
In view of the above, it is necessary to provide a partial discharge positioning method, a partial discharge positioning apparatus, a computer device, and a storage medium, which can improve positioning accuracy.
A partial discharge localization method, the method comprising:
acquiring a detection result of a local discharge ultrasonic signal output by an ultrasonic sensor;
when the detection results of the ultrasonic sensors larger than or equal to the preset number threshold are obtained, combining the detection results to obtain a plurality of detection result combinations;
determining a corresponding candidate partial discharge position according to each detection result in each detection result combination;
performing cluster analysis on the candidate partial discharge positions, and selecting cluster clusters of which the average distance from each cluster element to a cluster center is smaller than a preset distance threshold from each cluster element to each cluster center obtained through the cluster analysis;
and determining the partial discharge position represented by the cluster center of the selected cluster as a final partial discharge position.
In one embodiment, the combining the detection results to obtain a plurality of detection result combinations includes:
acquiring the value range of the number of the reference combined elements; the value range is greater than or equal to a preset number and less than or equal to the total number of the detection results;
sequentially selecting integers from the value range as the number of the reference combined elements;
and dividing and combining the detection results according to the number of each reference combination element to obtain a plurality of detection result combinations.
In one embodiment, the performing cluster analysis on the candidate partial discharge positions, and selecting a cluster, in which an average distance from each cluster element to a cluster center is smaller than a preset distance threshold, from each cluster obtained through the cluster analysis includes:
setting the initial clustering number as 1, and taking the initial clustering number as the current clustering number;
performing cluster analysis on the candidate partial discharge positions according to the current cluster number;
determining the average distance from each clustering element in each clustering cluster to a clustering center aiming at each clustering cluster obtained by clustering analysis;
when at least one cluster with the average distance smaller than a preset distance threshold exists, selecting the cluster with the average distance smaller than the preset distance threshold;
and when no clustering cluster with the average distance smaller than the preset distance threshold exists, adding 1 to the current clustering number to serve as a new current clustering number, and returning to execute the clustering analysis and subsequent steps of the candidate partial discharge positions according to the current clustering number until at least one clustering cluster with the average distance smaller than the preset distance threshold exists.
In one embodiment, when there is at least one cluster whose average distance is smaller than a preset distance threshold, selecting the cluster whose average distance is smaller than the preset distance threshold includes:
and when a cluster with the average distance smaller than a preset distance threshold exists, selecting the cluster with the average distance smaller than the preset distance threshold.
In one embodiment, when there is at least one cluster whose average distance is smaller than a preset distance threshold, selecting the cluster whose average distance is smaller than the preset distance threshold includes:
and when two clustering clusters with the average distance smaller than a preset distance threshold exist, selecting the clustering cluster with the most clustering elements from the clustering clusters with the average distance smaller than the preset distance threshold.
A partial discharge localization apparatus, the apparatus comprising:
the sensor result acquisition module is used for acquiring the detection result of the local discharge ultrasonic signal output by the ultrasonic sensor;
the detection result combination module is used for combining the detection results to obtain a plurality of detection result combinations when the detection results of the ultrasonic sensors larger than or equal to the preset number threshold are obtained;
the partial discharge position determining module is used for determining corresponding candidate partial discharge positions according to the detection results in each detection result combination;
the cluster analysis module is used for carrying out cluster analysis on the candidate partial discharge positions and selecting cluster clusters of which the average distance from each cluster element to the cluster center is smaller than a preset distance threshold from each cluster obtained through the cluster analysis;
the partial discharge position determining module is further configured to determine a partial discharge position represented by the cluster center of the selected cluster as a final partial discharge position.
In one embodiment, the detection result combining module is further configured to obtain a value range of the reference combined element number; the value range is greater than or equal to a preset number and less than or equal to the total number of the detection results; sequentially selecting integers from the value range as the number of the reference combined elements; and dividing and combining the detection results according to the number of each reference combination element to obtain a plurality of detection result combinations.
In one embodiment, the cluster analysis module is further configured to set an initial cluster number to 1, and use the initial cluster number as a current cluster number; performing cluster analysis on the candidate partial discharge positions according to the current cluster number; determining the average distance from each clustering element in each clustering cluster to a clustering center aiming at each clustering cluster obtained by clustering analysis; when at least one cluster with the average distance smaller than a preset distance threshold exists, selecting the cluster with the average distance smaller than the preset distance threshold; and when no clustering cluster with the average distance smaller than the preset distance threshold exists, adding 1 to the current clustering number to serve as a new current clustering number, and returning to execute the clustering analysis and subsequent steps of the candidate partial discharge positions according to the current clustering number until at least one clustering cluster with the average distance smaller than the preset distance threshold exists.
A computer device comprising a memory and a processor, the memory having stored therein a computer program, which, when executed by the processor, causes the processor to perform the steps of the partial discharge location method according to embodiments of the present application.
A computer-readable storage medium, having a computer program stored thereon, which, when executed by a processor, causes the processor to perform the steps of the partial discharge location method according to embodiments of the present application.
According to the partial discharge positioning method, the device, the computer equipment and the storage medium, the detection result of the ultrasonic signal of the partial discharge output by the ultrasonic sensor is obtained, when the detection result of the ultrasonic sensor which is larger than or equal to the preset number threshold is obtained, the detection results are combined to obtain a plurality of detection result combinations, then the corresponding candidate partial discharge position is determined according to each detection result in each detection result combination, then the cluster analysis is carried out on the candidate partial discharge positions respectively corresponding to the plurality of detection result combinations, the cluster center of the cluster with the average distance smaller than the preset distance threshold is selected as the partial discharge position, the positioning result corresponding to the detection result which is greatly influenced by noise can be automatically rejected, the anti-interference performance is improved, and the accuracy of the partial discharge positioning is improved.
Drawings
FIG. 1 is a diagram of an exemplary embodiment of a partial discharge localization method;
FIG. 2 is a schematic flow chart diagram illustrating a partial discharge location method according to one embodiment;
FIG. 3 is a schematic diagram illustrating an overall flowchart of a partial discharge location method according to an embodiment;
FIG. 4 is a block diagram of a partial discharge locator device in one embodiment;
FIG. 5 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The partial discharge positioning method provided by the application can be applied to the application environment shown in fig. 1. The central processor 104 is connected to the plurality of ultrasonic sensors 102, respectively. The plurality of ultrasonic sensors 102 may be respectively disposed in the vicinity of the high-voltage electrical equipment 106, that is, at positions where the ultrasonic sensors 102 can receive ultrasonic signals generated when the partial discharge of the high-voltage electrical equipment 106 occurs. It is understood that fig. 1 only schematically shows a few ultrasonic sensors, and in practice, the number of ultrasonic sensors is plural and is not limited. When the high-voltage electrical device 106 generates a partial discharge, the ultrasonic sensor 102 may receive an ultrasonic signal generated by the partial discharge, and obtain a detection result of the ultrasonic signal according to the ultrasonic signal. The central processor 104 may obtain the detection results from the ultrasonic sensors 102, and then combine and cluster-analyze the detection results to determine the partial discharge location. The ultrasonic sensor 102 is a sensor that converts an ultrasonic signal into an electric signal. The central processor 104 may be an embedded device (i.e., a device that includes a processor, a memory, etc. and is capable of functioning independently) or a computer device, etc. The high voltage electrical devices 106 may be motors, transformers, disconnectors, capacitors, transformers, and the like, which may generate partial discharge phenomena.
In one embodiment, as shown in fig. 2, a partial discharge localization method is provided, which is described by taking the method as an example applied to the central processor in fig. 1, and includes the following steps:
s202, a detection result of the partial discharge ultrasonic signal output from the ultrasonic sensor is acquired.
The ultrasonic sensor is a sensor that converts an ultrasonic signal into an electric signal. Partial discharge refers to a phenomenon that an insulating medium of electrical equipment discharges in a local range under the action of a strong enough electric field. The partial discharge ultrasonic signal is an ultrasonic signal generated when the high-voltage electrical equipment generates partial discharge. The high-voltage electrical equipment comprises electrical equipment which can generate partial discharge phenomena, such as a motor, a transformer, an isolating switch, a capacitor, a mutual inductor and the like.
The detection result of the partial discharge ultrasonic signal is an electric signal obtained by converting the detected partial discharge ultrasonic signal by the ultrasonic sensor. In one embodiment, the detection result of the partial discharge ultrasonic signal may be an incoming wave direction of the partial discharge ultrasonic signal.
Specifically, the ultrasonic sensor is provided in plurality, and each of the ultrasonic sensors may be provided in the vicinity of the high-voltage electrical equipment, that is, at a position capable of receiving an ultrasonic signal generated when the partial discharge of the high-voltage electrical equipment occurs. The ultrasonic sensor can detect the partial discharge ultrasonic signal, and when the ultrasonic sensor detects the partial discharge ultrasonic signal, a detection result (such as an incoming wave direction) of the partial discharge ultrasonic signal can be obtained according to the detected partial discharge ultrasonic signal. The central processor may obtain the detection results from the ultrasonic sensors.
And S204, when the detection results of the ultrasonic sensors with the number larger than or equal to the preset number threshold are obtained, combining the detection results to obtain a plurality of detection result combinations.
The preset quantity threshold is a preset threshold used for triggering the combination of the detection results to perform the partial discharge positioning. The combination of detection results is a combination including a plurality of detection results.
Specifically, when the detection results of the ultrasonic sensors greater than or equal to the preset number threshold are obtained, it indicates that the ultrasonic sensors greater than or equal to the preset number threshold detect the partial discharge ultrasonic signals, and the central processor may combine all the obtained detection results to obtain a plurality of detection result combinations.
In one embodiment, the preset number threshold may be any integer greater than or equal to 3. Such as: when the preset number threshold is 3, when the central processor acquires the detection results of more than or equal to 3 ultrasonic sensors, the detection results are triggered to be combined to obtain a plurality of detection result combinations. For another example: when the preset number threshold is 5, when the central processor acquires the detection results of more than or equal to 5 ultrasonic sensors, the detection results are triggered to be combined to obtain a plurality of detection result combinations.
It will be appreciated that a greater number of ultrasonic sensors may be provided, such as: 20 or 30, etc., so that when partial discharge occurs in the high-voltage electrical equipment, the number of ultrasonic sensors that detect the partial discharge ultrasonic signals cannot be too small. Therefore, when the detection results of the ultrasonic sensors smaller than the preset number threshold are acquired, the acquired detection results can be regarded as the results of noise interference generation, and the acquired detection results can be ignored, that is, the central processor may not perform processing. The preset number threshold may be set according to actual requirements.
In one embodiment, the central processor may divide the detection results into a plurality of detection result combinations according to the number of reference combination elements, that is, the number of detection results included in each detection result combination obtained by dividing satisfies the number of reference combination elements. The reference combination element number is the number of detection results to be divided in each combination when the detection results are divided into combinations.
In one embodiment, the number of the reference combination element number may be one or more. When the number of the reference combination elements is one (for example, the number of the reference combination elements can only be 3), the central processor may divide and combine the detection results according to the number of the reference combination elements to obtain a plurality of detection result combinations. When the number of the reference combination elements is multiple (for example, the number of the reference combination elements may be 3, 4, 5, … …, 19, and 20), the central processor may divide and combine the detection results according to each number of the reference combination elements, respectively, to obtain multiple detection result combinations.
It can be understood that the central processor divides and combines the detection results according to the number of the reference combination elements to obtain a plurality of detection result combinations, which are exhaustive. Namely, for example: with reference to a combined element number of 3, the central processor can divide the detection results into all possibilities of 3 groups. For another example: referring to the number of combination elements as 3, 4 and 5, the central processor can divide the detection results into all possibilities of 3 groups, 4 groups and 5 groups.
And S206, determining corresponding candidate partial discharge positions according to each detection result in each detection result combination.
The candidate partial discharge position is a partial discharge position determined in each detection result combination according to each detection result in the detection result combination.
In one embodiment, for each detection result combination, the central processor may determine the candidate partial discharge position corresponding to the detection result combination according to each incoming wave direction in the detection result combination and the position of the ultrasonic sensor corresponding to each incoming wave direction. In another embodiment, the central processor may further determine candidate partial discharge positions corresponding to the detection result combinations by using a ternary positioning method. In other embodiments, the central processor may also determine the candidate partial discharge position corresponding to each detection result combination in other manners, and the method is not limited.
It will be appreciated that in practical applications, noise may be present, leading to some detection results being less accurate. Therefore, some candidate partial discharge positions corresponding to a combination of detection results including detection results affected by noise may not be accurate enough due to the influence of noise. Therefore, it is necessary to combine the candidate partial discharge positions respectively corresponding to these detection results to further determine the final accurate partial discharge position.
And S208, performing cluster analysis on the candidate partial discharge positions, and selecting cluster elements from the cluster groups obtained through the cluster analysis, wherein the average distance between each cluster element and the cluster center is smaller than a preset distance threshold value.
The cluster analysis is an analysis processing mode for classifying data into different clusters according to the similarity. Data classified into the same cluster has higher similarity. Data classified into different clusters have lower similarity. And clustering clusters, namely clusters obtained by performing clustering analysis on the candidate partial discharge positions. And the clustering element is a candidate partial discharge position in the clustering cluster. The cluster center is the center of all cluster elements in the cluster. The preset distance threshold is a preset threshold used for judging whether the cluster can be selected or not. The average distance is an average value of distances between each clustering element in the clustering cluster and a clustering center.
Specifically, each combination of the detection results corresponds to one candidate partial discharge position, respectively, and therefore, there are a plurality of candidate partial discharge positions. The central processor can perform cluster analysis on all candidate partial discharge positions to obtain a plurality of cluster clusters. The center processor may then determine an average (i.e., average distance) of the distances between the respective cluster elements in each cluster and the cluster center. Then, the central processor may select a cluster having an average distance smaller than a preset distance threshold.
In one embodiment, the central processor may perform cluster analysis on the candidate partial discharge locations using a cluster analysis algorithm (e.g., k-means algorithm, k-means clustering algorithm), and the cluster analysis algorithm is not limited.
And S210, determining the partial discharge position represented by the cluster center of the selected cluster as a final partial discharge position.
Specifically, the center processor may determine the partial discharge position indicated by the cluster center of the selected cluster as a final partial discharge position and output the partial discharge position.
It can be understood that the partial discharge position finally determined through the cluster analysis excludes the interference of noise, and the positioning result is more accurate compared with the candidate partial discharge position.
According to the partial discharge positioning method, the detection results of the ultrasonic signals of the partial discharge output by the ultrasonic sensors are obtained, when the detection results of the ultrasonic sensors which are more than or equal to the preset number threshold are obtained, the detection results are combined to obtain a plurality of detection result combinations, then the corresponding candidate partial discharge positions are determined according to each detection result in each detection result combination, then the candidate partial discharge positions respectively corresponding to the plurality of detection result combinations are subjected to cluster analysis, the cluster center of the cluster with the average distance less than the preset distance threshold is selected as the partial discharge position, the positioning result corresponding to the detection result which is greatly influenced by noise can be automatically rejected, the anti-interference performance is improved, and the accuracy of the partial discharge positioning is improved.
In one embodiment, the step of combining the detection results to obtain a plurality of detection result combinations comprises: acquiring the value range of the number of the reference combined elements; the value range is greater than or equal to the preset number and less than or equal to the total number of the detection results; sequentially selecting integers as the number of reference combination elements from the value range; and dividing and combining the detection results according to the number of each reference combination element to obtain a plurality of detection result combinations.
Specifically, the central processor may sequentially select integers from a value range of the reference combined element number as the reference combined element number. Such as: the preset number is 3, the total number of the detection results is 20, the value range is greater than or equal to 3 and less than or equal to 20, and the central processor can select 3, 4, 5, … … 19 and 20 as the reference combined element number.
The central processor may divide and combine the detection results according to the number of each reference combination element, respectively, to obtain a plurality of detection result combinations. That is, the number of detection results included in each detection result combination obtained by division satisfies the number of reference combination elements.
In one embodiment, the predetermined number may be an integer greater than or equal to 3. It is understood that the smaller the preset number is, the more the detection result combinations are divided, the larger the calculation data amount is, and the calculation speed of the central processor may be affected. The larger the preset number is, the fewer the divided detection result combinations are, and the accuracy of the final positioning result may be reduced. Therefore, in practical application, on the premise of ensuring the operation speed of the central processor and the accuracy of the positioning result, the preset number is set according to actual requirements. Such as: the preset number may be set to 3, that is, the number of reference combination elements ranges from greater than or equal to 3 to less than or equal to the total number of detection results.
In this embodiment, the central processor may sequentially select integers from a value range of the number of the combination elements as the number of the reference combination elements, so as to obtain a plurality of numbers of the reference combination elements, and obtain various combinations of the detection results to the greatest extent possible, thereby ensuring accuracy of the final positioning result of the partial discharge position.
In one embodiment, performing cluster analysis on the candidate partial discharge positions, and selecting a cluster, in which an average distance from each cluster element to a cluster center is smaller than a preset distance threshold, from each cluster obtained by the cluster analysis includes: setting the initial clustering number as 1, and taking the initial clustering number as the current clustering number; performing cluster analysis on the candidate partial discharge positions according to the current cluster number; determining the average distance from each clustering element in the clustering cluster to a clustering center aiming at each clustering cluster obtained by clustering analysis; when at least one cluster with the average distance smaller than a preset distance threshold exists, selecting a cluster with the average distance smaller than the preset distance threshold; and when no clustering cluster with the average distance smaller than the preset distance threshold exists, adding 1 to the current clustering number to serve as a new current clustering number, and returning to execute the clustering analysis and subsequent steps of the candidate partial discharge positions according to the current clustering number until at least one clustering cluster with the average distance smaller than the preset distance threshold exists.
The cluster analysis of the candidate partial discharge positions is performed according to the current cluster number, which means that the central processor can classify the candidate partial discharge positions into cluster clusters meeting the current cluster number. Such as: when the current cluster number is 1, the central processor may divide the candidate partial discharge locations into a cluster. When the current cluster number is 4, the central processor may divide the candidate partial discharge locations into 4 cluster clusters.
The cluster with the average distance smaller than the preset distance threshold means that the average value of the distances between each cluster element and the cluster center in the cluster is smaller than the preset distance threshold.
Specifically, the current cluster number may be initially set to 1. The central processor can perform cluster analysis on the candidate partial discharge positions and classify the candidate partial discharge positions into cluster clusters meeting the current cluster number. The central processor may then determine the average distance of each cluster element in each cluster to the cluster center, i.e. the average of the distances between each cluster element and the cluster center, respectively.
When at least one cluster with the average distance smaller than the preset distance threshold exists, the central processor can select the cluster with the average distance smaller than the preset distance threshold. When there is no cluster with an average distance smaller than the preset distance threshold, the central processor may add 1 to the current cluster number to serve as a new current cluster number, and return to perform cluster analysis and subsequent steps on the candidate partial discharge positions according to the current cluster number, until there is at least one cluster with an average distance smaller than the preset distance threshold, and select the cluster with an average distance smaller than the preset distance threshold.
In this embodiment, the central processor may iteratively perform cluster analysis on the candidate partial discharge positions, the number of iterative clusters in each round is increased by 1, until at least one cluster whose average distance is smaller than the preset distance threshold exists, the central processor may select the cluster whose average distance is smaller than the preset distance threshold, so as to automatically reject a positioning result corresponding to a detection result that is greatly affected by noise, improve the anti-interference performance, and improve the accuracy of partial discharge positioning.
In one embodiment, when there is at least one cluster whose average distance is smaller than a preset distance threshold, the step of selecting the cluster whose average distance is smaller than the preset distance threshold includes: and when a cluster with the average distance smaller than a preset distance threshold exists, selecting the cluster with the average distance smaller than the preset distance threshold.
Specifically, when there is one cluster (i.e., there is only one cluster) whose average distance is smaller than the preset distance threshold, the central processor may directly select the cluster whose average distance is smaller than the preset distance threshold.
In this embodiment, when only one cluster whose average distance is smaller than the preset distance threshold is present, the central processor may directly select the cluster, so as to improve the anti-interference performance, thereby improving the accuracy of the partial discharge positioning.
In one embodiment, when there is at least one cluster whose average distance is smaller than a preset distance threshold, the step of selecting the cluster whose average distance is smaller than the preset distance threshold includes: and when two clustering clusters with the average distance smaller than the preset distance threshold exist, selecting the clustering cluster with the most clustering elements from the clustering clusters with the average distance smaller than the preset distance threshold.
Specifically, when there are more than or equal to two clusters whose average distance is smaller than the preset distance threshold (i.e., there is one cluster), the central processor may select a cluster whose clustering element is the most from the clusters whose average distance is smaller than the preset distance threshold.
In this embodiment, when there are two cluster clusters having an average distance smaller than a preset distance threshold, the central processor may select a cluster having the most clustering elements, so as to ensure that the selected cluster is composed of more candidate partial discharge positions, thereby improving the accuracy of the finally determined partial discharge position.
Fig. 3 is a schematic overall flow chart of a partial discharge positioning method in various embodiments of the present application. The central processor obtains the detection result from the ultrasonic sensors, and when the ultrasonic sensors greater than or equal to the preset number threshold detect the ultrasonic signals (that is, the central processor obtains the detection results of the ultrasonic sensors greater than or equal to the preset number threshold), the central processor may divide and combine the detection results according to the number of the reference combination elements to obtain a plurality of detection result combinations. Wherein, the reference combined element quantity is selected once in the value range. The central processor may then set the initial cluster number to 1 and the preset distance threshold to δ. In each iteration, the central processor performs clustering analysis on the candidate partial discharge positions according to the current clustering number, determines the average distance d from each clustering element in each clustering cluster to the clustering center, and adds 1 to clustering data after each iteration. Until d of at least one cluster is smaller than delta, the central processor can select the cluster with the most clustering elements from the clusters meeting d < delta, and take the cluster center of the cluster as the position of the partial discharge point (it can be understood that when only one cluster meeting d < delta, the cluster center of the cluster is directly taken as the position of the partial discharge point). When the ultrasonic sensors smaller than the preset number threshold detect the ultrasonic signals, the central processor does not process the ultrasonic signals and continues to obtain detection results from the ultrasonic sensors.
It should be understood that, although the steps in the flowchart of fig. 2 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in fig. 2 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.
In one embodiment, as shown in fig. 4, there is provided a partial discharge localization apparatus 400 comprising: a sensor result obtaining module 402, a detection result combining module 404, a partial discharge position determining module 406, and a cluster analyzing module 408, wherein:
a sensor result obtaining module 402, configured to obtain a detection result of the partial discharge ultrasonic signal output by the ultrasonic sensor.
And the detection result combination module 404 is configured to, when the detection results of the ultrasonic sensors larger than or equal to the preset number of thresholds are obtained, combine the detection results to obtain a plurality of detection result combinations.
And a partial discharge position determining module 406, configured to determine a corresponding candidate partial discharge position according to each detection result in each detection result combination.
And the cluster analysis module 408 is configured to perform cluster analysis on the candidate partial discharge positions, and select a cluster in which an average distance from each cluster element to a cluster center is smaller than a preset distance threshold from each cluster obtained through the cluster analysis.
The partial discharge position determining module 406 is further configured to determine a partial discharge position indicated by a cluster center of the selected cluster as a final partial discharge position.
In one embodiment, the detection result combining module 404 is further configured to obtain a value range of the reference combined element number; the value range is greater than or equal to the preset number and less than or equal to the total number of the detection results; sequentially selecting integers as the number of reference combination elements from the value range; and dividing and combining the detection results according to the number of each reference combination element to obtain a plurality of detection result combinations.
In one embodiment, the cluster analysis module 408 is further configured to set the initial cluster number to 1, and use the initial cluster number as the current cluster number; performing cluster analysis on the candidate partial discharge positions according to the current cluster number; determining the average distance from each clustering element in the clustering cluster to a clustering center aiming at each clustering cluster obtained by clustering analysis; when at least one cluster with the average distance smaller than a preset distance threshold exists, selecting a cluster with the average distance smaller than the preset distance threshold; and when no clustering cluster with the average distance smaller than the preset distance threshold exists, adding 1 to the current clustering number to serve as a new current clustering number, and returning to execute the clustering analysis and subsequent steps of the candidate partial discharge positions according to the current clustering number until at least one clustering cluster with the average distance smaller than the preset distance threshold exists.
In one embodiment, the cluster analysis module 408 is further configured to select a cluster with an average distance smaller than a preset distance threshold when there is a cluster with an average distance smaller than the preset distance threshold.
In one embodiment, the cluster analysis module 408 is further configured to select a cluster with the most clustering elements from the clusters with the average distance smaller than the preset distance threshold when there are more than or equal to two clusters with the average distance smaller than the preset distance threshold.
In the partial discharge positioning device, the detection results of the ultrasonic signals of the partial discharge output by the ultrasonic sensors are obtained, when the detection results of the ultrasonic sensors which are more than or equal to the preset number threshold are obtained, the detection results are combined to obtain a plurality of detection result combinations, then the corresponding candidate partial discharge positions are determined according to each detection result in each detection result combination, then the candidate partial discharge positions respectively corresponding to the plurality of detection result combinations are subjected to cluster analysis, and the cluster center of the cluster with the average distance less than the preset distance threshold is selected as the partial discharge position, so that the positioning result corresponding to the detection result which is greatly influenced by noise can be automatically rejected, the anti-interference performance is improved, and the accuracy of the partial discharge positioning is improved.
For the specific definition of the partial discharge positioning device, reference may be made to the above definition of the partial discharge positioning method, which is not described herein again. The modules in the partial discharge positioning device can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a central processor, the internal structure of which may be as shown in fig. 5. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a partial discharge localization method.
Those skilled in the art will appreciate that the architecture shown in fig. 5 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is further provided, which includes a memory and a processor, the memory stores a computer program, and the processor implements the steps of the above method embodiments when executing the computer program.
In an embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method embodiments.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A partial discharge localization method, the method comprising:
acquiring a detection result of a local discharge ultrasonic signal output by an ultrasonic sensor;
when the detection results of the ultrasonic sensors larger than or equal to the preset number threshold are obtained, combining the detection results to obtain a plurality of detection result combinations;
determining a corresponding candidate partial discharge position according to each detection result in each detection result combination;
performing cluster analysis on the candidate partial discharge positions, and selecting cluster clusters of which the average distance from each cluster element to a cluster center is smaller than a preset distance threshold from each cluster element to each cluster center obtained through the cluster analysis;
and determining the partial discharge position represented by the cluster center of the selected cluster as a final partial discharge position.
2. The method of claim 1, wherein combining the detection results to obtain a plurality of detection result combinations comprises:
acquiring the value range of the number of the reference combined elements; the value range is greater than or equal to a preset number and less than or equal to the total number of the detection results;
sequentially selecting integers from the value range as the number of the reference combined elements;
and dividing and combining the detection results according to the number of each reference combination element to obtain a plurality of detection result combinations.
3. The method according to claim 1, wherein the performing cluster analysis on the candidate partial discharge positions and selecting cluster elements from the cluster clusters obtained by the cluster analysis, the cluster clusters having an average distance from each cluster element to a cluster center smaller than a preset distance threshold, comprises:
setting the initial clustering number as 1, and taking the initial clustering number as the current clustering number;
performing cluster analysis on the candidate partial discharge positions according to the current cluster number;
determining the average distance from each clustering element in each clustering cluster to a clustering center aiming at each clustering cluster obtained by clustering analysis;
when at least one cluster with the average distance smaller than a preset distance threshold exists, selecting the cluster with the average distance smaller than the preset distance threshold;
and when no clustering cluster with the average distance smaller than the preset distance threshold exists, adding 1 to the current clustering number to serve as a new current clustering number, and returning to execute the clustering analysis and subsequent steps of the candidate partial discharge positions according to the current clustering number until at least one clustering cluster with the average distance smaller than the preset distance threshold exists.
4. The method according to claim 3, wherein when there is at least one cluster whose average distance is smaller than a preset distance threshold, selecting the cluster whose average distance is smaller than the preset distance threshold comprises:
and when a cluster with the average distance smaller than a preset distance threshold exists, selecting the cluster with the average distance smaller than the preset distance threshold.
5. The method according to claim 3, wherein when there is at least one cluster whose average distance is smaller than a preset distance threshold, selecting the cluster whose average distance is smaller than the preset distance threshold comprises:
and when two clustering clusters with the average distance smaller than a preset distance threshold exist, selecting the clustering cluster with the most clustering elements from the clustering clusters with the average distance smaller than the preset distance threshold.
6. A partial discharge localization apparatus, the apparatus comprising:
the sensor result acquisition module is used for acquiring the detection result of the local discharge ultrasonic signal output by the ultrasonic sensor;
the detection result combination module is used for combining the detection results to obtain a plurality of detection result combinations when the detection results of the ultrasonic sensors larger than or equal to the preset number threshold are obtained;
the partial discharge position determining module is used for determining corresponding candidate partial discharge positions according to the detection results in each detection result combination;
the cluster analysis module is used for carrying out cluster analysis on the candidate partial discharge positions and selecting cluster clusters of which the average distance from each cluster element to the cluster center is smaller than a preset distance threshold from each cluster obtained through the cluster analysis;
the partial discharge position determining module is further configured to determine a partial discharge position represented by the cluster center of the selected cluster as a final partial discharge position.
7. The apparatus of claim 6, wherein the detection result combining module is further configured to obtain a value range of the reference combined element number; the value range is greater than or equal to a preset number and less than or equal to the total number of the detection results; sequentially selecting integers from the value range as the number of the reference combined elements; and dividing and combining the detection results according to the number of each reference combination element to obtain a plurality of detection result combinations.
8. The apparatus of claim 6, wherein the cluster analysis module is further configured to set an initial cluster number to 1, and use the initial cluster number as a current cluster number; performing cluster analysis on the candidate partial discharge positions according to the current cluster number; determining the average distance from each clustering element in each clustering cluster to a clustering center aiming at each clustering cluster obtained by clustering analysis; when at least one cluster with the average distance smaller than a preset distance threshold exists, selecting the cluster with the average distance smaller than the preset distance threshold; and when no clustering cluster with the average distance smaller than the preset distance threshold exists, adding 1 to the current clustering number to serve as a new current clustering number, and returning to execute the clustering analysis and subsequent steps of the candidate partial discharge positions according to the current clustering number until at least one clustering cluster with the average distance smaller than the preset distance threshold exists.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 5.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 5.
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