CN117849551A - GIS equipment partial discharge positioning method and system, equipment and medium - Google Patents
GIS equipment partial discharge positioning method and system, equipment and medium Download PDFInfo
- Publication number
- CN117849551A CN117849551A CN202410034260.4A CN202410034260A CN117849551A CN 117849551 A CN117849551 A CN 117849551A CN 202410034260 A CN202410034260 A CN 202410034260A CN 117849551 A CN117849551 A CN 117849551A
- Authority
- CN
- China
- Prior art keywords
- partial discharge
- sensor
- transmission path
- preset
- point
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 33
- 230000005540 biological transmission Effects 0.000 claims description 86
- 238000004422 calculation algorithm Methods 0.000 claims description 15
- 238000004364 calculation method Methods 0.000 claims description 12
- 238000001914 filtration Methods 0.000 claims description 6
- 102100025142 Beta-microseminoprotein Human genes 0.000 claims description 5
- 101000576812 Homo sapiens Beta-microseminoprotein Proteins 0.000 claims description 5
- 238000001514 detection method Methods 0.000 claims description 5
- 238000010276 construction Methods 0.000 claims description 4
- 230000008569 process Effects 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 5
- 238000004458 analytical method Methods 0.000 description 4
- 238000012544 monitoring process Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 230000006399 behavior Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000003745 diagnosis Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000009413 insulation Methods 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 238000001228 spectrum Methods 0.000 description 2
- 238000012935 Averaging Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000009499 grossing Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 238000011946 reduction process Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 230000007723 transport mechanism Effects 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/10—Pre-processing; Data cleansing
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- 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
- G01R31/1227—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 of components, parts or materials
- G01R31/1263—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 of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation
- G01R31/1281—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 of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation of liquids or gases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/02—Preprocessing
- G06F2218/04—Denoising
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Data Mining & Analysis (AREA)
- Artificial Intelligence (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Testing Relating To Insulation (AREA)
Abstract
The invention relates to a positioning method, a system, equipment and a medium for partial discharge of GIS equipment. Constructing a digital twin model of GIS equipment; setting an analog partial discharge power supply in the digital twin model, and constructing a partial discharge database based on the partial discharge power supply discharge; when a partial discharge signal is generated, extracting characteristic parameters of the partial discharge signal, and comparing the characteristic parameters with the partial discharge database; if the partial discharge signal is successfully compared with the partial discharge database, calculating a first time point when a first sensor detects the partial discharge signal and a second time when a second sensor detects the partial discharge signal; positioning the partial discharge point according to the first time point and the second time point. And comparing the characteristic parameters with the partial discharge database, so that the interference of an external signal source on the positioning of the partial discharge point is reduced, and the accuracy of the positioning of the partial discharge point is improved.
Description
Technical Field
The invention relates to the technical field of GIS (gas insulated switchgear), in particular to a positioning method, a positioning system, a positioning device and a positioning medium for partial discharge of GIS equipment.
Background
Gas insulated switchgear (Gas Insulated Switchgear, GIS) is a key electrical device widely used in electrical power systems for switching, controlling and protecting currents. The GIS equipment is produced and manufactured and engineering construction, and potential defects of insulation can be left, and the insulation defects can develop into dangerous discharge channels with the increase of the service life.
The existing time difference of arrival (Time Difference of Arrival, TDOA) calculates the distance between the partial discharge source and the sensor using the time difference of arrival of the partial discharge signal at the different position sensors, thereby deriving the position coordinates of the partial discharge source. The traditional method for solving the time difference equation by combining the TDOA algorithm with the Newton iteration method can generate measurement errors due to the influence of the response speed of a detection system and the interference of environmental noise, and can not obtain an optimal solution or even no solution in the process of solving the equation, so that positioning failure is caused.
Therefore, there is an urgent need to develop a positioning means capable of reducing external interference and obtaining accurate partial discharge positions.
Disclosure of Invention
The application provides a positioning method, a positioning system, positioning equipment and a positioning medium for partial discharge of GIS equipment, which are used for solving the technical problem that the existing GIS partial discharge monitoring method is easy to be interfered by the outside, so that accurate partial discharge positions cannot be obtained.
In one aspect, the application provides a positioning method for partial discharge of a GIS device, including:
s1, constructing a digital twin model of GIS equipment;
s2, setting an analog partial discharge power supply in the digital twin model, and constructing a partial discharge database based on the partial discharge power supply discharge;
s3, when a partial discharge signal is generated, extracting characteristic parameters of the partial discharge signal, and comparing the characteristic parameters with the partial discharge database;
s4, if the partial discharge signals are successfully compared with the partial discharge database, calculating a first time point when a first sensor detects the partial discharge signals and a second time when a second sensor detects the partial discharge signals;
s5, positioning the partial discharge point according to the first time point and the second time point.
Further, the extracting the characteristic parameter of the partial discharge signal and comparing the characteristic parameter with the partial discharge database specifically includes:
s31, gaussian filtering is carried out on the collected partial discharge signals;
s32, taking the average value of the filtered signal peak value as a characteristic parameter, and comparing the characteristic parameter with the partial discharge database.
Furthermore, the partial discharge database comprises PRPS map data obtained by ultrahigh frequency detection during partial discharge and partial discharge amplitude voltage class.
Still further, the step of locating the partial discharge point according to the first time point and the second time point includes:
s51, calculating the distance difference between the partial discharge point and the preset first sensor and the preset second sensor respectively based on the time difference between the first time point and the second time point;
s52, acquiring a shortest transmission path between the first sensor and the second sensor;
and S53, positioning the partial discharge point according to the shortest transmission path and the distance difference.
Still further, the step of acquiring the shortest transmission path between the preset first sensor and the preset second sensor includes:
s521, calculating a first transmission path from the partial discharge point to the preset first sensor and a second transmission path from the partial discharge point to the preset second sensor in the digital twin model through Dijkstra algorithm;
s522, generating a shortest transmission path between the preset first sensor and the preset second sensor by adopting the first transmission path and the second transmission path.
Another aspect of the present application provides a positioning system for partial discharge of a GIS device, including:
the model construction module is used for constructing a digital twin model of the preset GIS equipment;
the database generation module is used for setting an analog partial discharge power supply in the digital twin model and constructing a partial discharge database based on the partial discharge power supply discharge;
the time point calculating module is used for calculating a first time point when the first sensor detects the partial discharge signal and a second time point when the second sensor detects the partial discharge signal;
and the partial discharge point positioning module is used for positioning the partial discharge point according to the first time point and the second time point.
Still further, the partial discharge point positioning module includes:
a time difference calculation sub-module for calculating a time difference between the first time point and the second time point;
a distance difference calculation sub-module, configured to calculate a distance difference between the partial discharge point and the preset first sensor and the preset second sensor according to the time difference;
the shortest transmission path acquisition sub-module is used for acquiring the shortest transmission path between a preset first sensor and the preset second sensor;
and the partial discharge point positioning sub-module is used for positioning the partial discharge point according to the shortest transmission path and the distance difference.
Still further, the shortest transmission path obtaining sub-module includes:
a first transmission path and a second transmission path calculation unit, configured to calculate a first transmission path from the partial discharge point to the preset first sensor and a second transmission path from the partial discharge point to the preset second sensor in the digital twin model by using Dijkstra algorithm;
and the shortest transmission path generating unit is used for generating the shortest transmission path between the preset first sensor and the preset second sensor by adopting the first transmission path and the second transmission path.
An electronic device includes a processor and a memory;
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is used for executing the positioning method of partial discharge of the GIS equipment according to the instructions in the program codes.
The present application provides a computer readable storage medium for storing program code, instructions in the program code executing the positioning method of partial discharge of a GIS device according to any one of the above.
The beneficial technical effects of this application mainly include: according to the invention, the analog partial discharge power supply is arranged in the digital twin model, the partial discharge database is constructed based on the partial discharge power supply discharge, when the partial discharge signal is generated, the characteristic parameters of the partial discharge signal are extracted, and the characteristic parameters are compared with the partial discharge database, so that the interference of an external signal source on the positioning of the partial discharge point is eliminated. And then positioning the partial discharge point by detecting a first time point when the partial discharge signal generated by the partial discharge point reaches a preset first sensor and a second time point when the partial discharge signal reaches a preset second sensor. Thereby improving the accuracy of positioning the partial discharge points of the GIS equipment.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a positioning method of partial discharge of a GIS device according to an embodiment of the present application;
fig. 2 is a system diagram of a positioning system for partial discharge of a GIS device according to an embodiment of the present application.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present application based on the embodiments herein.
The flow diagrams depicted in the figures are merely illustrative and not necessarily all of the elements and operations/steps are included or performed in the order described. For example, some operations/steps may be further divided, combined, or partially combined, so that the order of actual execution may be changed according to actual situations.
In the description of the present application, the terms "first" and "second" are merely used to distinguish between similar objects and do not represent a particular order for the objects, it being understood that the "first" and "second" may, where permitted, be interchanged with respect to a particular order or sequence to enable embodiments of the present application described herein to be implemented in other than those illustrated or described herein.
It should be understood that the azimuth or positional relationship is based on the azimuth or positional relationship shown in the drawings. These directional terms are used merely to facilitate the description of the present application and to simplify the description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operate in a particular orientation, and thus should not be construed as limiting the present application.
The embodiment of the application provides a positioning method for partial discharge of GIS equipment. Referring to fig. 1, a schematic diagram of a first embodiment of the present application is shown. The following describes in detail a positioning method of partial discharge of a GIS device according to a first embodiment of the present application with reference to fig. 1.
The positioning method for partial discharge of the GIS equipment comprises the following steps:
s1, constructing a digital twin model of GIS equipment;
the digital twin is to fully utilize data such as a physical model, sensor update, operation history and the like, integrate simulation processes of multiple disciplines, multiple physical quantities, multiple scales and multiple probabilities, and complete mapping in a virtual space so as to reflect the full life cycle process of corresponding entity equipment.
For example, related data of the GIS device is collected first, including device operation status, environmental parameters, historical fault data, and the like. The data can be acquired through devices such as a sensor and a monitoring system, and a physical model is established according to the actual structure and the operation principle of the GIS device, the model needs to be capable of simulating the operation state and the behavior of the device to map the acquired data with the physical model, and the physical model can reflect the actual state of the GIS device in real time. And analyzing the mapped data by utilizing a data analysis technology, wherein the data comprises the application of state monitoring, fault diagnosis, prediction maintenance and the like.
In the embodiment of the invention, the digital twin model of the GIS equipment can be generated, and the analysis of the GIS can be realized through the analysis of the digital twin model.
S2, setting an analog partial discharge power supply in the digital twin model, and constructing a partial discharge database based on the partial discharge power supply discharge;
specifically, a module for simulating partial discharge power is added in the digital twin model, and the module can simulate different discharge conditions and discharge processes according to requirements; and (3) carrying out discharge experiments by using an analog partial discharge power supply to obtain discharge data under different conditions, wherein the data may comprise parameters such as discharge voltage, current, frequency, discharge energy and the like.
The acquired discharge data is processed and analyzed to extract useful information such as discharge characteristics, discharge rules, etc. And storing the processed discharge data into a database to form a partial discharge database, wherein the database can comprise the discharge data under different conditions, and the corresponding discharge characteristics, rules and other information.
Through the process, a digital twin model containing partial discharge data is constructed, so that the partial discharge condition of GIS equipment can be studied more deeply, and the reliability and stability of the equipment are improved. Meanwhile, the database can also provide support for subsequent fault diagnosis, prediction maintenance and other applications.
S3, when a partial discharge signal is generated, extracting characteristic parameters of the partial discharge signal, and comparing the characteristic parameters with the partial discharge database;
specifically, when the partial discharge signal is generated, the partial discharge signal generated by the GIS device is acquired by performing signal acquisition on the partial discharge signal, for example, by a sensor or other monitoring device.
And extracting the characteristics of the collected partial discharge signals, and extracting key parameters which can reflect the characteristics of the signals, such as discharge frequency, discharge amplitude, discharge phase and the like.
And comparing the extracted characteristic parameters with data in a partial discharge database, and searching similar or matched discharge records. It should be noted that when searching for similar or matching discharge records, since the data in the partial discharge database does not completely coincide with the characteristic parameters extracted from the actual partial discharge signals, correlation and consistency analysis are required within a certain threshold and confidence level range. And identifying and classifying the partial discharge signals according to the comparison result, and judging which type of partial discharge the partial discharge signals belong to, and the degree and harm of the discharge. And utilizing the digital twin model and the partial discharge database to monitor and intelligently analyze the partial discharge signals of the GIS equipment in real time.
S4, if the partial discharge signals are successfully compared with the partial discharge database, calculating a first time point when a first sensor detects the partial discharge signals and a second time when a second sensor detects the partial discharge signals;
specifically, a first sensor and a second sensor are installed at a preset position of GIS equipment in advance, and a propagation path and speed of the partial discharge signal in the equipment are calculated through a first time point when the preset first sensor detects the partial discharge signal and a second time point when the preset second sensor detects the partial discharge signal, so that direct data are provided for fault positioning and prediction.
For example, the positions of the preset first sensor and the preset second sensor in the GIS device and their relative relation to the partial discharge source are explicitly preset in advance, and the time stamp of the partial discharge signal detected by the preset first sensor is acquired from the sensor record (the first sensor and the second sensor) as the first time point when the partial discharge occurs. Likewise, a time stamp at which the partial discharge signal is detected by the preset second sensor is acquired as a second time point. A time difference between the first time point and the second time point is calculated, which time difference reflects the time for the local discharge signal to propagate from the preset first sensor to the preset second sensor.
S5, positioning the partial discharge point according to the first time point and the second time point.
From the first point in time and the second point in time, the position of the partial discharge point can be located. The sensor network and the data processing technology in the GIS equipment are needed to be utilized, and the specific steps are as follows:
from the positions of the two sensors and the time difference in which they detect the signals, the propagation speed of the partial discharge signal can be calculated, and in combination with the propagation speed and the positions of the two sensors, the position of the partial discharge point can be deduced, using some algorithms or mathematical models, such as triangulation, least squares, etc.
It should be noted that the accuracy of locating the partial discharge point is affected by a variety of factors, including the accuracy of the sensor, the device structure, the signal propagation path, and the like. Therefore, in practical applications, verification and optimization of the positioning result may be required to improve positioning accuracy and reliability.
It should be understood that the local discharge point positioning accuracy of the GIS equipment is directly affected by the fact that the local discharge point positioning is easily interfered by an external signal source during the local discharge of the GIS equipment. In the embodiment of the application, the local discharge database is built by setting the analog local discharge power supply in the digital twin model and based on the local discharge power supply discharge, when the local discharge signal is generated, the characteristic parameters of the local discharge signal are extracted, and the characteristic parameters are compared with the local discharge database, so that the interference of an external signal source on the positioning of the local discharge point is eliminated. And then positioning the partial discharge point by detecting a first time point when the partial discharge signal generated by the partial discharge point reaches a preset first sensor and a second time point when the partial discharge signal reaches a preset second sensor. Thereby improving the accuracy of positioning the partial discharge points of the GIS equipment.
In some embodiments, the extracting the characteristic parameter of the partial discharge signal and comparing the characteristic parameter with the partial discharge database specifically includes:
s31, gaussian filtering is carried out on the collected partial discharge signals;
s32, taking the average value of the filtered signal peak value as a characteristic parameter, and comparing the characteristic parameter with the partial discharge database.
And preprocessing and extracting features of the collected partial discharge signals through the steps S31 and S32 so as to compare the partial discharge signals with a partial discharge database.
Specifically, a gaussian filter is applied to the collected partial discharge signal to reduce noise interference and improve signal smoothness.
Gaussian filtering is a common signal processing technology used for removing noise and smoothing signals, is suitable for removing noise, and is widely applied to a noise reduction process of signal processing. Gaussian filtering is the process of weighted averaging a signal.
After Gaussian filtering, the noise of the partial discharge signal is suppressed, and more representative characteristic parameters can be extracted. In this step, the filtered signal peaks are selected as characteristic parameters and the mean of these peaks is calculated. And then, comparing the calculated average value with characteristic parameters in a partial discharge database to find similar or matched discharge records.
Through the steps, more accurate and reliable partial discharge signal characteristic parameters can be extracted and compared with a partial discharge database, so that accurate identification and classification of the partial discharge signals are realized.
In some embodiments, the partial discharge database includes PRPS profile data obtained by uhf detection during partial discharge and partial discharge amplitude voltage levels.
The PRPS spectrum (phase resolution partial discharge spectrum) can provide the phase and amplitude information of partial discharge signals, is helpful for understanding the characteristics and the rules of discharge, and the partial discharge amplitude voltage level reflects the intensity and the energy of the discharge, thereby having important reference value for predicting faults.
The partial discharge database comprises PRPS map data obtained by ultrahigh frequency detection during partial discharge and partial discharge amplitude voltage class, and the data has important significance for analyzing and diagnosing the partial discharge phenomenon of GIS equipment.
By analyzing and comparing the data, the running state of the GIS equipment can be better monitored, potential problems can be timely found and solved, and the reliability and stability of the equipment are improved.
In some embodiments, the step of locating the partial discharge point according to the first time point and the second time point comprises:
s51, calculating the distance difference between the partial discharge point and the preset first sensor and the preset second sensor respectively based on the time difference between the first time point and the second time point;
s52, acquiring a shortest transmission path between the first sensor and the second sensor;
and S53, positioning the partial discharge point according to the shortest transmission path and the distance difference.
Specifically, the position of the partial discharge point is located using the time difference between the first time point and the second time point and the shortest transmission path between the preset first sensor and the preset second sensor. For example, by calculating the time difference between the first point in time and the second point in time, the time difference in propagation of the partial discharge signal from the discharge point to the two sensors can be deduced. By combining the propagation speed of the signals in the GIS equipment, the distance difference between the local discharge point and the preset first sensor and the preset second sensor can be calculated.
In the digital twin model of the GIS equipment, the shortest transmission path between the preset first sensor and the preset second sensor can be acquired, and the shortest transmission path is determined and acquired according to the structure and layout of the equipment or in the digital twin model.
The position of the partial discharge point can be deduced by combining the algorithm with the shortest transmission path and the calculated distance difference. In an actual scene, although the distance difference between the partial discharge point and the preset first sensor and the preset second sensor is calculated to position the partial discharge point, the position of the partial discharge point cannot be accurately positioned under the condition that the shortest transmission path of the partial discharge signal of the partial discharge point to the preset first sensor and the preset second sensor is not known. Therefore, in the embodiment of the invention, the shortest paths for transmitting the partial discharge signals to the preset first sensor and the preset second sensor need to be determined.
In some embodiments, the step of obtaining the shortest transmission path between the preset first sensor and the preset second sensor comprises:
s521, calculating a first transmission path from the partial discharge point to the preset first sensor and a second transmission path from the partial discharge point to the preset second sensor in the digital twin model through Dijkstra algorithm;
s522, generating a shortest transmission path between the preset first sensor and the preset second sensor by adopting the first transmission path and the second transmission path.
Specifically, dijkstra's algorithm is a classical algorithm for calculating the shortest path in a graph, in which step a digital twin model is represented as a structure of the graph, where nodes represent various parts or sensors in the device, edges represent the connection relationship between them, and weights of the edges represent transmission distances or costs. By running the Dijkstra algorithm, the shortest paths from the partial discharge point to the preset first sensor and the preset second sensor, i.e., the first transmission path and the second transmission path, can be calculated.
After the first transmission path and the second transmission path are obtained, they may be combined to generate a shortest transmission path between the preset first sensor and the preset second sensor to obtain a shortest path from the preset first sensor to the preset second sensor.
And calculating the shortest transmission path from the partial discharge point to a preset sensor in the digital twin model through Dijkstra algorithm, and providing accurate path information for subsequent positioning and prediction.
It should be appreciated that Dijkstra's algorithm employs a greedy strategy, declaring an array dis to hold the shortest distance from the source point to each vertex and a set of vertices that hold the shortest path that has been found, T, where initially the path weight of origin s is assigned 0 (dis s=0). If there is a directly reachable side (s, m) for vertex s, then dis [ m ] is set to w (s, m), while the path length of all other vertices (which s cannot directly reach) is set to infinity. Initially, set T has only vertices s. Then, a minimum value is selected from the dis array, which is the shortest path from the source point s to the vertex corresponding to the value, and this point is added to T, OK, at which time one vertex is completed, then we need to see if the newly added vertex can reach other vertices and see if the path length through this vertex to other points is shorter than the direct arrival of the source point, if so, then replace the value of these vertices in dis and find the minimum value again from dis, repeat the above actions until T contains all vertices of the graph.
As shown in fig. 2, the second aspect of the present application further provides a positioning system 100 for partial discharge of a GIS device, which includes a model building module 110, a database generating module 120, a time point calculating module 130, and a partial discharge point positioning module 140. The model building module 110 is configured to build a digital twin model of a preset GIS device, the database generating module 120 is configured to set an analog partial discharge power supply in the digital twin model, and build a partial discharge database based on the partial discharge power supply discharge, the time point calculating module 130 is configured to calculate a first time point when a preset first sensor detects the partial discharge signal, and a second time point when a preset second sensor detects the partial discharge signal, and the partial discharge point positioning module 140 is configured to position the partial discharge point according to the first time point and the second time point.
Specifically, a digital twin model of the preset GIS equipment is constructed through the model construction module 110, so that a foundation is provided for subsequent simulation and analysis. The digital twin model can reflect the running state and the behavior of GIS equipment in real time, and provides effective basis for monitoring and positioning partial discharge.
An analog partial discharge power supply is set in the digital twin model, and the database generation module 120 constructs a partial discharge database based on a discharge process of the partial discharge power supply. The database contains discharge data under different conditions and corresponding discharge characteristics and rules.
When the GIS device is partially discharged, the time point calculating module 130 calculates a first time point when the first sensor detects the partial discharge signal and a second time point when the second sensor detects the partial discharge signal. The partial discharge point positioning module 140 uses the first time point and the second time point to position the partial discharge point in combination with the position of the preset sensor and the structure of the device.
In some embodiments, the partial discharge point positioning module includes a time difference calculation sub-module, a distance difference calculation sub-module, a shortest transmission path acquisition sub-module, and a partial discharge point positioning sub-module, where the time difference calculation sub-module is configured to calculate a time difference between the first time point and the second time point; the distance difference calculation sub-module is used for calculating the distance difference between the partial discharge point and the preset first sensor and the preset second sensor according to the time difference; the shortest transmission path acquisition sub-module is used for acquiring the shortest transmission path between a preset first sensor and the preset second sensor; and the partial discharge point positioning sub-module is used for positioning the partial discharge point according to the shortest transmission path and the distance difference.
In some embodiments, the shortest transmission path obtaining submodule includes a first transmission path, a second transmission path calculating unit, and a shortest transmission path generating unit. The digital twin model comprises a first transmission path and a second transmission path calculation unit, wherein the first transmission path and the second transmission path calculation unit are used for calculating a first transmission path from the partial discharge point to the preset first sensor and a second transmission path from the partial discharge point to the preset second sensor in the digital twin model through Dijkstra algorithm; the shortest transmission path generating unit is used for generating a shortest transmission path between the preset first sensor and the preset second sensor by adopting the first transmission path and the second transmission path.
The digital twin model is represented as a structure of a graph in which nodes represent various parts or sensors in the device, edges represent connection relationships between them, and weights of the edges represent transmission distances or costs. The first transmission path and the second transmission path calculating unit can calculate the shortest paths from the partial discharge point to the preset first sensor and the preset second sensor, namely the first transmission path and the second transmission path, through Dijkstra algorithm. After the first transmission path and the second transmission path are obtained, they may be combined to generate a shortest transmission path between the preset first sensor and the preset second sensor to obtain a shortest path from the preset first sensor to the preset second sensor.
The embodiment of the invention also provides electronic equipment, which comprises a processor and a memory; the memory is used for storing program codes and transmitting the program codes to the processor; the processor is used for executing the positioning method of the GIS equipment partial discharge according to the instructions in the program codes.
The embodiment of the invention also provides a computer readable storage medium, which is used for storing program codes, and instructions in the program codes execute the positioning method of the GIS equipment partial discharge.
The storage medium includes various media capable of storing program codes, such as a usb disk, a removable hard disk, a ROM (Read-Only Memory), a RAM (Random Access Memory), a magnetic disk, or an optical disk.
Those of ordinary skill in the art will appreciate that all or some of the steps, systems, functional modules/units in the apparatus, and methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. In a hardware implementation, the division between the functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be performed cooperatively by several physical components. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer-readable storage media, which may include computer-readable storage media (or non-transitory media) and communication media (or transitory media).
The term computer-readable storage medium includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information, such as computer-readable instructions, data structures, program modules or other data, as known to those skilled in the art. Computer-readable storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by a computer. Furthermore, as is well known to those of ordinary skill in the art, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media.
By way of example, the computer readable storage medium may be an internal storage unit of the electronic device of the foregoing embodiments, such as a hard disk or a memory of the electronic device. The computer readable storage medium may also be an external storage device of the electronic device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the electronic device.
The foregoing is merely a specific embodiment of the application to enable one skilled in the art to understand or practice the application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. The positioning method for the partial discharge of the GIS equipment is characterized by comprising the following steps of:
s1, constructing a digital twin model of GIS equipment;
s2, setting an analog partial discharge power supply in the digital twin model, and constructing a partial discharge database based on the partial discharge power supply discharge;
s3, when a partial discharge signal is generated, extracting characteristic parameters of the partial discharge signal, and comparing the characteristic parameters with the partial discharge database;
s4, if the partial discharge signals are successfully compared with the partial discharge database, calculating a first time point when a first sensor detects the partial discharge signals and a second time point when a second sensor detects the partial discharge signals;
s5, positioning the partial discharge point according to the first time point and the second time point.
2. The positioning method according to claim 1, wherein the extracting the characteristic parameter of the partial discharge signal and comparing the characteristic parameter with the partial discharge database specifically includes:
s31, gaussian filtering is carried out on the collected partial discharge signals;
s32, taking the average value of the filtered signal peak value as a characteristic parameter, and comparing the characteristic parameter with the partial discharge database.
3. The positioning method according to claim 1, wherein the partial discharge database comprises PRPS map data obtained by ultrahigh frequency detection during partial discharge and partial discharge amplitude voltage levels.
4. The positioning method according to claim 1, wherein the step of positioning the partial discharge point according to the first time point and the second time point includes:
s51, calculating the distance difference between the partial discharge point and the preset first sensor and the preset second sensor respectively based on the time difference between the first time point and the second time point;
s52, acquiring a shortest transmission path between the first sensor and the second sensor;
and S53, positioning the partial discharge point according to the shortest transmission path and the distance difference.
5. The positioning method according to claim 4, wherein the step of acquiring a shortest transmission path between the preset first sensor and the preset second sensor includes:
s521, calculating a first transmission path from the partial discharge point to the preset first sensor and a second transmission path from the partial discharge point to the preset second sensor in the digital twin model through Dijkstra algorithm;
s522, generating a shortest transmission path between the preset first sensor and the preset second sensor by adopting the first transmission path and the second transmission path.
6. A positioning system for partial discharge of a GIS device, comprising:
the model construction module is used for constructing a digital twin model of the preset GIS equipment;
the database generation module is used for setting an analog partial discharge power supply in the digital twin model and constructing a partial discharge database based on the partial discharge power supply discharge;
the time point calculating module is used for calculating a first time point when the first sensor detects the partial discharge signal and a second time point when the second sensor detects the partial discharge signal;
and the partial discharge point positioning module is used for positioning the partial discharge point according to the first time point and the second time point.
7. The positioning system of claim 6, wherein the partial discharge point positioning module comprises:
a time difference calculation sub-module for calculating a time difference between the first time point and the second time point;
a distance difference calculation sub-module, configured to calculate a distance difference between the partial discharge point and the preset first sensor and the preset second sensor according to the time difference;
the shortest transmission path acquisition sub-module is used for acquiring the shortest transmission path between a preset first sensor and the preset second sensor;
and the partial discharge point positioning sub-module is used for positioning the partial discharge point according to the shortest transmission path and the distance difference.
8. The positioning system of claim 7, wherein the shortest transmission path acquisition sub-module comprises:
a first transmission path and a second transmission path calculation unit, configured to calculate a first transmission path from the partial discharge point to the preset first sensor and a second transmission path from the partial discharge point to the preset second sensor in the digital twin model by using Dijkstra algorithm;
and the shortest transmission path generating unit is used for generating the shortest transmission path between the preset first sensor and the preset second sensor by adopting the first transmission path and the second transmission path.
9. An electronic device comprising a processor and a memory;
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the positioning method for partial discharge of the GIS device according to any one of claims 1-5 according to the instructions in the program code.
10. A computer readable storage medium, characterized in that the computer readable storage medium is used for storing a program code, the instructions in the program code executing the positioning method of partial discharge of a GIS device according to any one of claims 1-5.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202410034260.4A CN117849551A (en) | 2024-01-09 | 2024-01-09 | GIS equipment partial discharge positioning method and system, equipment and medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202410034260.4A CN117849551A (en) | 2024-01-09 | 2024-01-09 | GIS equipment partial discharge positioning method and system, equipment and medium |
Publications (1)
Publication Number | Publication Date |
---|---|
CN117849551A true CN117849551A (en) | 2024-04-09 |
Family
ID=90538010
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202410034260.4A Pending CN117849551A (en) | 2024-01-09 | 2024-01-09 | GIS equipment partial discharge positioning method and system, equipment and medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN117849551A (en) |
-
2024
- 2024-01-09 CN CN202410034260.4A patent/CN117849551A/en active Pending
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN102395200B (en) | Node positioning method in wireless sensor network and apparatus thereof | |
CN112348054A (en) | Data processing method, device, medium and system for multi-type sensor | |
CN117434372B (en) | Electromagnetic compatibility immunity test method and system for electronic product | |
CN117590159A (en) | Tunnel cable power supply state monitoring method and system based on deep learning | |
CN113554526A (en) | Fault early warning method and device for power equipment, storage medium and processor | |
CN115238831B (en) | Fault prediction method, device, computer equipment and storage medium | |
CN117111544B (en) | Automatic-adaptation building internet of things monitoring method and system | |
CN110858072B (en) | Method and device for determining running state of equipment | |
EP3012643B1 (en) | Method and apparatus for identifying causes for cable overcurrent | |
Li et al. | Deep learning based covert attack identification for industrial control systems | |
Morales et al. | Mitigating anomalous measurements for indoor wireless local area network positioning | |
CN117828309B (en) | Substation safety early warning method for multi-source data fusion ranging | |
US20220278527A1 (en) | Determination of phase connections in a power grid | |
CN105407496B (en) | A kind of method of erroneous measurements in identification wireless sensor network | |
CN112215482B (en) | Household transformer relation recognition method and device | |
CN110807014A (en) | Cross validation based station data anomaly discrimination method and device | |
CN117036732B (en) | Electromechanical equipment detection system, method and equipment based on fusion model | |
CN104821854A (en) | Multidimensional spectrum sensing method for multiple main users based on random sets | |
CN117849551A (en) | GIS equipment partial discharge positioning method and system, equipment and medium | |
US10860938B2 (en) | Using the barycentric coordinate technique to determine optimal sensor locations | |
CN116308876A (en) | Power equipment insulation state risk assessment method, system and computer storage medium | |
CN115311574A (en) | Building monitoring method, equipment and medium | |
CN115801557A (en) | Fault root cause positioning method and device and readable storage medium | |
CN118503713B (en) | Transformer vibration prediction method | |
KR101971553B1 (en) | Device management system and method based on Internet Of Things |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |