Acousto-optical diagnostic method and device for metal particle discharge in gas-insulated combined equipment

Abstract

The invention discloses an acoustic-optical diagnostic method and device for metal particle discharge of a gas-insulated combined device and a computer storage medium. In the acoustic-optical diagnostic method for metal particle discharge of a gas-insulated combined device, ultrasonic signals and optical signals discharged within a voltage cycle of the gas-insulated combined device are collected; pulse information of the ultrasonic signals and optical signals within a voltage cycle is counted; single pulse energy of the ultrasonic signal and single pulse energy of the optical signal are calculated based on the pulse information; single pulse energy dispersion of the ultrasonic signal and single pulse energy dispersion of the optical signal are calculated respectively; a two-dimensional coordinate system of single pulse energy dispersion of the ultrasonic signal and single pulse energy dispersion of the optical signal is established; cluster analysis is performed on the two-dimensional coordinate system by a clustering algorithm, and the metal particle discharge stage is identified according to the clustering result.

Description

Technical Field

[0001] The invention belongs to the technical field of discharge detection of gas-insulated combined equipment, and in particular to an acoustic-optical diagnosis method and device for metal particle discharge of gas-insulated combined equipment. Background Art

[0002] Gas Insulated Switchgear (GIS) uses high-pressure gas to achieve electrical insulation and is a common electrical equipment in power systems. GIS encapsulates the main equipment of substations such as disconnectors, circuit breakers, transformers and busbars in a metal shell and fills it with insulating gas at a certain pressure. GIS has the advantages of small footprint, low maintenance cost and strong environmental adaptability, and is widely used in power systems.

[0003] Free metal particle discharge is a common insulation defect inside GIS. Metal debris particles are easily generated during the production and assembly process of the equipment. Under the action of the strong electric field when the equipment is running, it will jump or cause local discharge, and even cause insulation failures such as breakdown or flashover, which seriously threatens the safe and stable operation of the power system.

[0004] In order to detect particle discharge in a timely and effective manner and avoid serious accidents, a variety of detection methods have been developed for particle discharge associated phenomena. Ultrasonic method (AE) is a traditional method for particle detection, which can detect the acoustic wave signals generated by particle jumping and discharge. The ultra-high frequency method (UHF) commonly used in GIS can also be used to detect the electromagnetic wave signals generated by particle discharge, while the traditional local discharge detection method, high-frequency current method (HFCT), can be used to detect the high-frequency current generated by charge movement during particle discharge. In the field of local discharge detection, optical measurement has also gradually gained attention. Compared with other methods, optical detection has the advantages of strong anti-interference ability and reflecting the intrinsic characteristics of discharge. In addition, light radiation accompanies the entire process of particle discharge. Therefore, optical measurement has a high application value in particle discharge detection. However, the current detection method only targets the discharge stage of particles, and no quantitative evaluation and early warning method is implemented in field applications. However, particles in GIS have a stage development process of static-movement-discharge, and different stages correspond to different degrees of danger. Corresponding warning levels should be given during field detection to facilitate operation and maintenance personnel to conduct fault analysis and arrange maintenance. Therefore, a metal particle tracking and diagnosis method is urgently needed.

[0005] The above information disclosed in this Background section is only for enhancement of understanding of the background of the invention and therefore it may contain information that does not form the prior art that is already known to a person of ordinary skill in the art. Summary of the invention

[0006] In view of the problems existing in the prior art, the present invention proposes an acoustic-optical diagnosis method and device for metal particle discharge of a gas-insulated assembly device, so as to realize the judgment and early warning of the particle defect development stage.

[0007] The object of the present invention is achieved through the following technical scheme: an acoustic and optical diagnosis method for metal particle discharge of a gas-insulated combined device comprises:

[0008] Collect ultrasonic and optical signals of discharge in one voltage cycle of gas-insulated combined equipment;

[0009] Counting pulse information of the ultrasonic signal and the optical signal within a voltage cycle;

[0010] Calculate the single pulse energy of the ultrasonic signal and the single pulse energy of the optical signal based on the pulse information;

[0011] Calculate the single pulse energy dispersion of ultrasonic signal and the single pulse energy dispersion of optical signal respectively;

[0012] Establishing a two-dimensional coordinate system of single pulse energy dispersion of ultrasonic signal and single pulse energy dispersion of optical signal;

[0013] The two-dimensional coordinate system is clustered and analyzed using a clustering algorithm, and the discharge stage of the metal particles is identified based on the clustering results.

[0014] In the acousto-optic diagnostic method for metal particle discharge of a gas-insulated combined device, the voltage period is 0.02 seconds.

[0015] In the acousto-optic diagnostic method for metal particle discharge of a gas-insulated composite device, the pulse information includes the pulse width and the signal amplitude change within the pulse width.

[0016] In the acoustic-optical diagnostic method for metal particle discharge of gas-insulated combined equipment, the pulse width includes the pulse start time and the pulse end time obtained by the classical threshold method.

[0017] In the acoustic-optical diagnostic method for metal particle discharge of the gas-insulated combined device, the single pulse energy of the ultrasonic signal and the single pulse energy of the optical signal are respectively obtained by integrating the product of the pulse amplitude and the voltage within the pulse width time, as shown in the following formula:

[0018] ,

[0019] Where Q is the single pulse energy, t1 is the pulse start time, t2 is the pulse end time, I is the pulse amplitude, and U is the voltage.

[0020] In the acoustic-optical diagnostic method for metal particle discharge of the gas-insulated assembly device, the single pulse energy dispersion of the ultrasonic signal and the single pulse energy dispersion of the optical signal are calculated by the coefficient of variation of all the single pulse energies counted. The coefficient of variation calculation formula is as follows:

[0021] ,

[0022] Where Q is the single pulse energy, Qmean is the mean single pulse energy in the voltage cycle, and n is the number of pulses.

[0023] In the acoustic and optical diagnostic method for metal particle discharge of the gas-insulated combined device, in the step 5, in the two-dimensional coordinate system, the horizontal axis is the single pulse energy dispersion of the ultrasonic signal, and the vertical axis is the single pulse energy dispersion of the optical signal.

[0024] In the acoustic and optical diagnosis method for metal particle discharge of gas-insulated combined equipment, the clustering algorithm is a k-means clustering algorithm.

[0025] In the acoustic and optical diagnostic method for metal particle discharge of the gas-insulated combined device, there are three cluster centers in the two-dimensional coordinate system, and the cluster centers correspond to the particle discharge stages.

[0026] In the acoustic and optical diagnostic method for metal particle discharge of gas-insulated combined equipment, the clustering algorithm includes:

[0027] Randomly select K points as cluster centers;

[0028] Calculate the distance from each point to the cluster center;

[0029] Assign the cluster center of each point cluster;

[0030] If the cluster center changes, return to calculate the distance from each point to the cluster center. If the cluster center does not change, output the clustering result.

[0031] An apparatus is configured to perform an acousto-optic diagnostic method for metal particle discharge of a gas-insulated assembly.

[0032] A computer storage medium stores the acoustic-optical diagnostic method for metal particle discharge of the gas-insulated combined device. Compared with the prior art, the present invention has the following advantages: the acoustic-optical diagnostic method for metal particle discharge of the gas-insulated combined device of the present invention combines the advantages of ultrasonic motion detection and optical discharge intrinsic characteristic detection; based on the single pulse energy dispersion characteristics of the optical signal and ultrasonic signal within the voltage cycle, the particle defect development stage judgment and warning level determination are realized, and particle tracking diagnosis can be performed, which is convenient for operation and maintenance personnel to judge the degree of fault danger and arrange maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] By reading the detailed description of the preferred specific embodiments below, various other advantages and benefits of the present invention will become clear to those of ordinary skill in the art. The drawings in the specification are only for the purpose of illustrating the preferred embodiments and are not considered to be limitations of the present invention. Obviously, the drawings described below are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings without creative work. Moreover, the same reference numerals are used to represent the same components throughout the drawings.

[0034] In the attached picture:

[0035] Figure 1 is a flow chart of an acoustic-optical diagnostic method for metal particle discharge of a gas-insulated assembly device according to an embodiment of the present invention;

[0036] Figure 2 The present invention is a schematic diagram of a clustering algorithm flow chart of an acoustic-optical diagnostic method for metal particle discharge of a gas-insulated composite device according to an embodiment of the present invention.

[0037] The present invention is further explained below in conjunction with the accompanying drawings and embodiments. DETAILED DESCRIPTION

[0038] The following will refer to the attached Figure 1 to Figure 2 Specific embodiments of the present invention are described in more detail. Although specific embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0039] It should be noted that certain words are used in the specification and claims to refer to specific components. Those skilled in the art should understand that technicians may use different nouns to refer to the same component. This specification and claims do not use the difference in nouns as a way to distinguish components, but use the difference in the functions of the components as the criterion for distinction. As mentioned throughout the specification and claims, "including" or "comprising" is an open term, so it should be interpreted as "including but not limited to". The subsequent description of the specification is a preferred embodiment of the present invention, but the description is based on the general principles of the specification and is not intended to limit the scope of the present invention. The scope of protection of the present invention shall be determined by the attached claims.

[0040] To facilitate understanding of the embodiments of the present invention, further explanation will be given below by taking specific embodiments as examples in conjunction with the accompanying drawings, and each of the accompanying drawings does not constitute a limitation on the embodiments of the present invention.

[0041] For a better understanding, Figure 1 to Figure 2 As shown, the acoustic and optical diagnostic method of metal particle discharge of gas-insulated combined equipment includes:

[0042] Collect the discharge ultrasonic and optical signals within one voltage cycle;

[0043] Count the pulse information of ultrasound and optical signals in one voltage cycle;

[0044] Calculate single pulse energy of ultrasound and optical signals;

[0045] The discreteness of single pulse energy of ultrasound and optical signals within one voltage cycle is calculated respectively;

[0046] Establish a two-dimensional coordinate system of ultrasound single pulse energy dispersion and optical signal single pulse energy dispersion;

[0047] The two-dimensional coordinate system is clustered and analyzed by clustering algorithm, and the particle discharge stage is identified according to the clustering results.

[0048] In another embodiment, the voltage period is 0.02 seconds.

[0049] In another embodiment, the ultrasound and optical signal pulse information includes pulse width and signal amplitude variation within the pulse width.

[0050] In another embodiment, the pulse width is obtained by a classical threshold method, including a pulse start time and a pulse end time.

[0051] In another embodiment, the single pulse energy of the ultrasound and optical signal is obtained by integrating the product of the pulse amplitude and the voltage within the pulse width time, as shown in the following formula:

[0052] ,

[0053] Where t1 is the pulse start time, t2 is the pulse end time, I is the pulse amplitude, and U is the voltage.

[0054] In another embodiment, the single pulse energy of all pulses of the ultrasound and light signals in the voltage cycle is counted.

[0055] In another embodiment, the dispersion of the single pulse energies of the ultrasound and optical signals is calculated by using a coefficient of variation based on the statistically calculated single pulse energies. The coefficient of variation calculation formula is as follows:

[0056]

[0057] Where Q is the single pulse energy, Qmean is the mean single pulse energy in the voltage cycle, and n is the number of pulses.

[0058] In another embodiment, in the two-dimensional coordinate system, the ultrasonic single pulse energy dispersion is the horizontal axis, and the optical signal single pulse energy dispersion is the vertical axis.

[0059] In another embodiment, the clustering algorithm is a k-means clustering algorithm, and the algorithm flow is as follows: Figure 2 shown.

[0060] In another embodiment, there are three cluster centers in the two-dimensional coordinate system, and the cluster centers correspond to the particle discharge stages.

[0061] In another embodiment, the particle discharge stages include slight discharge, moderate discharge and heavy discharge.

[0062] In another embodiment, a device is provided, which is configured to perform the above-mentioned acoustic-optical diagnosis method of metal particle discharge in the gas-insulated composite device.

[0063] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0064] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0065] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0066] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0067] Although the embodiments of the present invention are described above in conjunction with the accompanying drawings, the present invention is not limited to the above specific embodiments and application fields, and the above specific embodiments are only illustrative and instructive, rather than restrictive. A person of ordinary skill in the art can also make many forms under the guidance of this specification and without departing from the scope of protection of the claims of the present invention, all of which belong to the protection of the present invention.

Claims

1. An acoustic and optical diagnostic method for metal particle discharge in a gas-insulated assembly device, characterized in that: It includes the following steps, Collect ultrasonic and optical signals of discharge in one voltage cycle of gas-insulated combined equipment; Counting pulse information of the ultrasonic signal and the optical signal within a voltage cycle; The single pulse energy of the ultrasonic signal and the single pulse energy of the optical signal are calculated based on the pulse information. The single pulse energy of the ultrasonic signal and the single pulse energy of the optical signal are obtained by integrating the product of the pulse amplitude and the voltage within the pulse width time, respectively, as shown in the following formula: ， In the formula, Q is the single pulse energy, t1 is the pulse start time, t2 is the pulse end time, I is the pulse amplitude, and U is the voltage; The single pulse energy dispersion of the ultrasonic signal and the single pulse energy dispersion of the optical signal are calculated respectively, and the single pulse energy dispersion of the ultrasonic signal and the single pulse energy dispersion of the optical signal are calculated by the coefficient of variation of all the single pulse energies counted. The coefficient of variation calculation formula is as follows: ， Where Q is the single pulse energy, Q mean is the average energy of a single pulse in the voltage cycle, and n is the number of pulses; Establishing a two-dimensional coordinate system of ultrasonic signal single pulse energy dispersion and optical signal single pulse energy dispersion, in which the horizontal axis is the ultrasonic signal single pulse energy dispersion and the vertical axis is the optical signal single pulse energy dispersion; A clustering algorithm is used to perform clustering analysis on a two-dimensional coordinate system, and the discharge stage of metal particles is identified according to the clustering result. The discharge stage of metal particles includes slight discharge, moderate discharge and severe discharge. The clustering algorithm includes: Randomly select K points as cluster centers; Calculate the distance from each point to the cluster center; Assign the cluster center of each point cluster; If the cluster center changes, return to calculate the distance from each point to the cluster center. If the cluster center does not change, output the clustering result.

2. The method for acoustic and optical diagnosis of metal particle discharge in a gas-insulated assembly device according to claim 1, wherein: The voltage period is 0.02 seconds.

3. The method for acoustic and optical diagnosis of metal particle discharge in a gas-insulated assembly device according to claim 1, wherein: Pulse information includes pulse width and signal amplitude change within the pulse width.

4. The method for acoustic and optical diagnosis of metal particle discharge in a gas-insulated assembly device according to claim 3, wherein: The pulse width includes the pulse start time and the pulse end time obtained by the classical threshold method.

5. The method for acoustic and optical diagnosis of metal particle discharge in a gas-insulated assembly device according to claim 1, wherein: The clustering algorithm is a k-means clustering algorithm.

6. The method for acoustic and optical diagnosis of metal particle discharge in a gas-insulated assembly according to claim 1, wherein: There are three cluster centers in the two-dimensional coordinate system, and the cluster centers correspond to the particle discharge stages.

7. A device, characterized in that: The method is configured to perform the acoustic-optical diagnosis method of metal particle discharge of the gas-insulated composite device according to any one of claims 1 to 6.

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