KR20180105835A - Partial discharge diagnosis system and method base on simulation - Google Patents

Abstract

The present invention provides a partial discharge diagnosis system based on a simulation capable of simulating various types of partial discharge, and a method thereof. According to an embodiment of the present invention, the partial discharge diagnosis system based on a simulation comprises: a server generating event data which is information on a position and a type of the partial discharge; at least one sensor sensing an electromagnetic wave generated in a power device; at least one radiator located in the power device, and radiating the electromagnetic wave in accordance with a simulated signal; and a local device receiving the event data to generate the simulated signal, and generating detection data indicating the electromagnetic wave sensed by the sensor.

Description

[0001] Partial discharge diagnosis system and method [0002]

The present invention relates to a simulation based partial discharge diagnostic system and method capable of simulating various types of partial discharges.

Power plants such as power plants and substations include various power devices such as generators, gas insulated switchgears, gas insulated transformers, and oil immersed transformers. Since a high-voltage current flows in such a power device, a partial discharge occurs as a precursor to the failure of the power device. In this way, if a partial discharge occurs in the power device, there is a possibility of reaching an insulation breakdown, and finally, the operation of the entire power equipment can be stopped. Therefore, partial discharge diagnosis is indispensably required in order to prevent the failure of the power device by early diagnosis of the occurrence of the partial discharge and appropriate measures.

Korean Patent No. 10-1574613 and Korean Patent No. 10-1553005 propose a partial discharge diagnosis system capable of monitoring and diagnosing the occurrence of partial discharge. However, since the conventional partial discharge diagnosis is often inaccurate, it plays a role of assisting the partial discharge diagnosis by the power device manager, and only the partial discharge diagnosis result by the partial discharge diagnosis system There was a problem that it was difficult.

Since the partial discharge signal has an irregular and complicated waveform, the administrator of the power equipment requires a long accumulated experience in order to accurately diagnose whether the partial discharge has occurred in the power equipment. However, since the partial discharge is rarely generated in the electric power equipment, it is not easy to see the partial discharge actually generated. Moreover, due to the frequent change of the electric power equipment manager, there is a shortage of the specialist who has accumulated the experience of the partial discharge diagnosis. Accordingly, measures for accurately diagnosing the partial discharge are required.

Korean Patent Publication No. 10-1574613 Korean Patent Publication No. 10-1553005

According to an embodiment of the present invention, a simulation based partial discharge diagnosis system and method capable of simulating various types of partial discharge can be provided.

In addition, by using a simulation based partial discharge diagnosis system and method, a specialist capable of accurately diagnosing a partial discharge can be trained.

A simulation-based partial discharge diagnosis system according to an embodiment of the present invention includes a server for generating event data, which is information on the position and type of partial discharge; At least one sensor for sensing electromagnetic waves generated in the power device; At least one radiator disposed in the power device and radiating electromagnetic waves according to a simulated signal; And a local device that receives the event data to generate the simulated signal and generates detection data representing an electromagnetic wave sensed by the sensor.

In one example, the event data may include data specifying one of the emitters, and characteristic factors defining the partial discharge.

In one embodiment, the server comprises: a database in which data files recording characteristics of partial discharge sensed by the power device are stored for each type of the partial discharge; And an event processor for extracting the characteristic parameters from one of the data files.

In one example, the server comprises: a library in which a range of the characteristic parameters is stored for each type of partial discharge; And an event processor for receiving the type of the partial discharge and determining the characteristic factors by referring to the library in accordance with the type of the inputted partial discharge.

In one example, the local device may generate a simulation signal, which is a pulse signal having a waveform in which impulses are arranged in a phase interval of a system AC signal, based on the event data.

According to another aspect of the present invention, there is provided a simulation-based partial discharge diagnosis method comprising: generating event data, which is information on a position and a type of a partial discharge; Generating a simulation signal by receiving the event data; Radiating an electromagnetic wave to a power device by a radiator in accordance with the simulated signal; Sensing the electromagnetic wave by a sensor; And generating a graph representing the sensed electromagnetic waves.

According to the present invention, it is possible to emit electromagnetic waves corresponding to various types of partial discharges at various positions of a power device according to event data, and to generate detection data in which the electromagnetic waves are sensed to simulate a partial discharge.

In addition, since the detection data can be displayed so that the user can diagnose it, the user can accumulate the partial discharge diagnostic experience.

In addition, since the diagnosis answer inputted by the user can be evaluated based on the diagnostic result generated based on the event data, the partial discharge diagnosis capability of the user can be maximized.

The various and advantageous advantages and effects of the present invention are not limited to the above description and can be more easily understood in the course of describing the specific embodiments of the present invention.

1 is a block diagram of a simulation-based partial discharge diagnosis system according to an embodiment of the present invention.
2 and 3 are views showing a power device in which a sensor and a radiator are disposed.
4 is a configuration diagram of the server shown in FIG.
5 is a configuration diagram of the client shown in FIG.
6 is a block diagram of the local device shown in FIG.
7 and 8 are flowcharts of a simulation-based partial discharge diagnosis method according to an embodiment of the present invention.
9 is a diagram showing an example of a web page displayed on the first client.
10 is a structural diagram of a database of a server.
11 is a structural diagram of a library of servers.
12 is a diagram showing an example of a web page displayed on the second client.

Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. However, the embodiments of the present invention can be modified into various other forms, and the scope of the present invention is not limited to the embodiments described below. Further, the embodiments of the present invention are provided to more fully explain the present invention to those skilled in the art. It should be understood that the various embodiments of the present invention are different, but need not be mutually exclusive. For example, the structures and characteristics described herein may be embodied in other embodiments without departing from the spirit and scope of the invention in connection with one embodiment.

Also, to "include" an element means that it may include other elements, rather than excluding other elements, unless specifically stated otherwise.

Partial discharge refers to a discharge occurring at a local part other than between the electrodes. Examples of the discharge include a corona discharge, a floating discharge, a particle discharge, a void discharge, (void discharge). Since this partial discharge is a precursor of dielectric breakdown of electric power equipment, it is used as an index to prevent the failure of electric power equipment. Partial discharge to prevent the failure of electric power equipment by early diagnosis of the occurrence of partial discharge, Diagnosis is essential.

Hereinafter, a gas insulated switchgear will be described as an example of a power device. However, a simulation-based partial discharge diagnosis system according to an embodiment of the present invention may be operated in a power device such as a generator, a gas insulated transformer, an oil immersed transformer, etc., or a simulation- A diagnostic method can be performed.

1 is a block diagram of a simulation-based partial discharge diagnosis system according to an embodiment of the present invention.

Referring to FIG. 1, a simulation-based partial discharge diagnostic system includes a sensor 10 and a radiator disposed in a server 10, a local device 30, and a power device 100. The sensor and the radiator will be described in detail with reference to FIG. 2 and FIG. In addition, the partial discharge diagnosis system may further include a plurality of clients 20.

In addition, the server 10, the client 20, and the local device 30 can communicate with each other through the network such as the Internet.

The server 10 may generate event data, which is information on the location and type of the partial discharge, and may provide the event data to the local device 30. [ Here, the event data may include data specifying one of the emitters, and characteristic factors defining a partial discharge.

Specifically, the partial discharge signal that senses the partial discharge has characteristics that are generated in synchronization with the change of the system AC flowing through the power equipment. The partial discharge signal is generated in a specific pattern depending on the type of the partial discharge, and the impulses are grouped into a certain number of ranges for each constant phase interval of each period of the system AC flowing from the specific position of the power device to the power device. Accordingly, by analyzing the number of impulses detected at a specific position of the power device, the pattern of the change in the phase, and the pattern of the level, it is possible to diagnose the type of the partial discharge generated at a specific position of the power device.

The basic characteristic factors for defining the partial discharge include the number of impulses of the partial discharge signal, the magnitude level, the center phase, and the phase width. In addition to the basic partial discharge characteristic factors, additional characteristic factors include the attenuation level of the partial discharge signal, the phase shift amount, the signal distribution, and the order of occurrence. The basic partial discharge characteristic parameters refer to the values required to define a specific partial discharge, and the additional partial discharge characteristic parameters are those required to generate a simulated partial discharge that is closer to the actual partial discharge.

In addition, the server 10 can receive event information input by a user to generate event data from the client 20, and send a diagnostic answer to the simulated partial discharge generated according to the event data from the client 20 Input can be received.

The plurality of clients 20 can be used for various purposes depending on the intention of the user. A user of a simulation based partial discharge diagnosis system and method according to an embodiment of the present invention may be a person simulating a partial discharge, a person using the system and method for the purpose of teaching and learning, the local device or the sensor And the person to be inspected.

For example, the first client 210 may receive event information input by the user and provide the event information to the server 10, and the second client 220 receives the diagnostic answers inputted by the user, As shown in FIG. In the embodiment shown in FIG. 1, the server 10, the first client 210 and the second client 220 are each implemented as separate computers and connected through a network, . In addition, the server 10 and the client 20 can be implemented as a model of a web-based server and a client according to HTTP (hypertext transfer protocol) It can also be implemented as a model of an application-based server and client.

The local device 30 may receive the event data, generate a simulated signal based on the event data, and provide the simulated signal to a radiator disposed in the power device. Here, the simulated signal may be a pulse signal having a waveform in which impulses clustered in a phase interval of a system AC signal are arranged.

In addition, the local device 30 may generate detection data indicative of electromagnetic waves sensed by a sensor disposed in the power device. Although FIG. 1 illustrates one local device 30 and one power device 100 for convenience of description, the simulation-based partial discharge diagnosis system is a system in which a plurality of power devices 100 connected to a plurality of power devices Lt; / RTI > local device.

2 and 3 are views showing a power device in which a sensor and a radiator are disposed. Referring to Figures 2 and 3, at least one radiator 40 and at least one sensor 50 may be disposed in the power device 100. 2 shows the connection between the local device 30 and the plurality of radiators 40, and FIG. 3 shows the connection between the local device 30 and the plurality of sensors 50. In FIG.

The radiator 40 may be disposed at a plurality of locations of the power device 100. Further, the radiator 40 may receive a simulated signal from the local device 30 and emit the electromagnetic wave in accordance with the simulated signal. Specifically, the radiator 40 may be disposed at a plurality of positions of the power device 100 and may emit electromagnetic waves that are the same as or similar to electromagnetic waves caused by the partial discharge.

The sensor 50 may be disposed at a plurality of locations of the power device 100. In addition, the sensor 50 can sense the electromagnetic wave due to the partial discharge generated in the power device 100, and can sense the electromagnetic wave emitted from the radiator 40 to simulate the partial discharge. For example, the sensor 50 may be composed of a plurality of ultra-high frequency (UHF) sensors having frequency detection bands in the UHF band (300 to 3000 MHz), detects electromagnetic waves generated in the power device 100, (30).

FIG. 4 is a configuration diagram of the server shown in FIG. 1, FIG. 5 is a configuration diagram of the client shown in FIG. 1, and FIG. 6 is a configuration diagram of the local device shown in FIG.

4, the server 10 includes a web page generation unit 11, an event processing unit 12, a signal analysis unit 13, a diagnosis unit 14, a database 15, a library 16, (17).

The database 15 may store the data files in which the characteristic factors of the partial discharge sensed by the power device are recorded for each type of the partial discharge. The library 16 may also store a range of characteristic parameters for each type of partial discharge. The database 15 and the library 16 will be described in more detail with reference to FIGS. 10 and 12. FIG.

The event processing unit 12 may extract the characteristic factors that define the partial discharge from one of the data files included in the database 15. [ Alternatively, the event processing unit 12 may receive the type of the partial discharge and determine the characteristic factors that define the partial discharge by referring to the library 16 according to the type of the inputted partial discharge.

5, the client 20 may include an event generation unit 21, a web page processing unit 22, a user interface 23, and a communication unit 24. The functions of the event generating unit 21, the web page processing unit 22, and the user interface 23 may be different depending on whether the client 20 is the first client 201 or the second client.

6, the local device 30 may include a signal generation unit 31, a signal detection unit 32, and a communication unit 33.

The signal generation unit 31 may generate a simulation signal based on the characteristic factors included in the event data. Specifically, the frequency of the simulated signal is determined according to the number of impulses among the characteristic factors, the size of the impulses is determined according to the magnitude level of the characteristic factors, and the angular It is possible to determine the output time point of the impulses having the phase width centered on the center phase in the full phase of the period.

The signal generator 31 may generate a simulated signal by synchronizing the characteristic factors included in the event data with the system AC signal. Specifically, the signal generator may generate a simulated signal having a waveform in which clustered impulses are arranged for a predetermined phase interval of the system ac signal to synchronize the characteristic factors with the system ac signal.

The communication units 17, 24, and 33 of the server 10, the client 20, and the local device 30 can communicate with each other through a network such as the Internet. For example, the communication unit 17 of the server 10 and the communication unit 33 of the local device 30 perform data conversion according to the Internet protocol among protocols of the network layer so as to communicate with each other. Hereinafter, the transmission and reception of data through the network performed by the communication units 17, 24, and 33 will be expressed as a request, a provision, or the like.

Means the hardware components such as software or FPGA (Field-Programmable Gate Array) or ASIC, and the term " module " representing the configuration that the server 10, the client 20, The 'ministry' performs certain roles. However, '~' is not limited to software or hardware. &Quot; to " may be configured to reside on an addressable storage medium and may be configured to play one or more processors. Thus, by way of example, 'parts' may refer to components such as software components, object-oriented software components, class components and task components, and processes, functions, , Subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays, and variables.

The configurations included in the server 10, the client 20, and the local device 30 can be understood in detail through a description of a simulation-based partial discharge diagnosis method described later.

7 and 8 are flowcharts of a simulation-based partial discharge diagnosis method according to an embodiment of the present invention. 7 and 8, the simulation-based partial discharge diagnosis method includes a server 10, a first client 210, a second client 220, a local device 30, At least one radiator (40), and at least one sensor (50).

In operation 74, the server 10 may generate event data, which is information on the location and type of the partial discharge. In one example, the following steps 71 to 73 may be performed to generate event data.

In operation 71, the first client 210 may request the web page through the network to the server 10 to request the partial discharge event. Here, the partial discharge event means a series of steps performed by the server 10, the local device 30, and the radiator 40 that generate the simulated partial discharge.

Specifically, a partial discharge event may be requested by inputting a URL (Uniform Resource Locator) of a web page in order for a user to input event information required for generating event data to a web browser. 5) of the first client 210 transmits a partial discharge event request to the event generator 21 (FIG. 5), and the event generator generates event information necessary for generating the event data And may request the server 10 to receive a web page from the user.

In operation 72, the server 10 generates a web page requested by the first client 210, and provides the web page to the first client 210 through the network. When the server 10 receives a request for a web page from the first client 210 via the network, the web page generator 11 (Fig. 4) of the server 10 generates a web page, And may provide the first client 210 with information via the network. One example of such a web page will be described in more detail with reference to FIG.

In operation 73, the first client 210 receives event information from a user by executing a web page provided from the server 10, and provides the event information to the server 10. Specifically, when the web page processing unit 22 (Fig. 5) of the first client 210 receives a web page from the server 10 via the network, the web page processing unit 22 executes the web page provided from the server 10, 210) displays the web page thus executed to the user, and receives event information from the user. The web page processing unit 22 (Fig. 5) of the first client 210 provides event information to the server 10 via the network.

In operation 74, the server 10 may generate event data based on the event information. The event data may include data specifying any one of a plurality of power devices installed in various areas, data specifying any one of a plurality of radiators (40) disposed at a plurality of positions of any one of the power devices, Data specifying any one of the plurality of antennas of the radiator of the radiator, and characteristic factors defining the partial discharge as data for generating the simulated signal.

Specifically, when the event processing unit 12 (FIG. 4) of the server 10 receives the event information, it generates event data based on the event information, and provides the event data to the local device 30 through the network .

In step 75, the local device 30 generates a simulated signal according to the event data provided from the server 10 via the network. Specifically, the signal generator 31 (Fig. 6) of the local device 30 receives event data from the server 10 via the network, generates a simulated signal based on the event data, It is possible to output a simulated signal to any one of the antennas of any one radiator 40.

In operation 76, the plurality of radiators 40 receive the simulated signals generated by the local device 30, and radiate electromagnetic waves to the power device 100 according to the simulated signals.

In step 81, the second client 220 may request the web page through the network to the server 10 to request a diagnostic event. Here, the diagnostic event means a series of steps performed by the server 10 to evaluate the diagnostic answer based on the diagnostic result.

Specifically, a diagnostic event may be requested by a user entering a URL (Uniform Resource Locator) of a web page to enter diagnostic answers for diagnostic evaluation in a web browser. 5) of the second client 220 transmits a request for a diagnosis event to the event generating unit 21 (FIG. 5), and the event generating unit generates a web page for receiving a diagnosis answer from the user To the server (10).

In step 82, the sensor 50 senses the electromagnetic wave generated from the power device 100 and outputs a sensing signal to the local device 30. [ Here, the sensor 50 and the local device 30 may be connected by a coaxial cable.

In operation 83, the local device 30 may convert the received sensing signal into sensing data. That is, the detection data represents an electromagnetic wave sensed by the sensor 50. Specifically, the signal detecting unit 32 (FIG. 6) generates detection data indicating the electromagnetic wave sensed by the sensor 50. Since the sensing signal outputted by the sensor 50 is an analog type signal, the signal detecting unit can convert the sensing signal into digital sensing data.

In operation 84, the server 10 may generate a web page requested by the second client 220 and provide the web page to the second client 220 through the network. When the server 10 receives a request for a web page from the second client 220 via the network, the web page generator 11 (Fig. 4) of the server 10 generates a web page, To the second client 220 through the network.

Specifically, the signal analysis unit 13 (FIG. 4) of the server 10 analyzes the detection data provided from the local device 30 according to a PRPD (Phase Resolved Partial Discharge) analysis method or a PRPS (Phase Resolved Pulse Sequence) .

If the detected data is indicative of a constant pattern that is different for each type of partial discharge if impulses, magnitude level, phase are accumulated over a plurality of periods, and if the type of partial discharge that occurs in the power device 100 is diagnosed . The PRPD analysis method is a waveform pattern analysis method capable of providing the above-described constant pattern as a graph. In addition, the PRPS analysis method is a waveform pattern analysis method that considers temporal factors in the PRPD (Phase Resolved Partial Discharge).

A graph generated by the signal analysis unit may be displayed on a web page provided to the second client 220. One example of such a web page will be described in more detail with reference to FIG.

In operation 85, the second client 220 receives a diagnostic answer from a user by executing a web page provided from the server 10, and provides the diagnostic answer to the server 10. Specifically, when the web page processing unit 22 (Fig. 5) of the second client 220 receives a web page from the server 10 via the network, the web page processing unit 22 executes the web page provided from the server 10, 220) displays the executed web page to the user, and receives the diagnostic answer from the user. In addition, the diagnosis answer may be generated by the web page processing unit 22 (FIG. 5) of the second client 220 according to the information input by the user on the web page.

On the other hand, the diagnosis answer may include information on at least one of whether the partial discharge has occurred, the position of the partial discharge, and the type of the partial discharge. For example, if the type of partial discharge corresponds to noise, the diagnostic answer may only include information on whether partial discharge has occurred or not. Further, when the type of the partial discharge corresponds to a type other than noise, the diagnostic answer may include both information on whether the partial discharge has occurred, the position of the partial discharge, and the type of the partial discharge.

In step 86, the server 10 may evaluate the diagnostic answer provided from the second client 220 based on the diagnostic result generated based on the event data. In addition, the server 10 can provide the evaluation result, which is the result of evaluating the diagnosis answer, to the second client 220 via the network.

Specifically, when the diagnosis unit 14 (FIG. 4) of the server 10 receives the diagnosis answer from the second client 220 via the network, the diagnostic result is generated based on the event data. The diagnosis result may be prepared by the user, but the diagnosis result may be prepared by the user. Since the event data includes information on the location and type of the partial discharge and is used to generate the simulation signal, the diagnosis unit can accurately diagnose the partial discharge information from the event data to generate the diagnosis result.

On the other hand, the diagnosis result may include information on at least one of whether or not the partial discharge is generated, the position of the partial discharge, and the type of the partial discharge. For example, as with the diagnostic answer, if the type of partial discharge corresponds to noise, the diagnostic result may include only information on whether partial discharge has occurred. Further, when the type of the partial discharge corresponds to a type other than noise, the diagnosis result may include both information on whether the partial discharge has occurred, the position of the partial discharge, and the type of the partial discharge.

Then, the diagnosis unit evaluates the diagnosis answer based on the diagnosis result, and provides the evaluation result to the second client 220 via the network. For example, the evaluation result may be expressed as a symbol indicating whether or not the diagnosis answer and diagnosis result are consistent.

In step 87, the second client 220 displays the evaluation result provided from the server 10. For example, the web page generating unit 11 of the server 10 may generate a web page including the diagnosis result, and the web page processing unit 22 of the second client 220 may update the web page have.

9 is a diagram showing an example of a web page displayed on the first client.

The web page shown in FIG. 9 is only an example, and a web page for receiving event information from a user may be implemented in various other forms. The user interface 23 (FIG. 5) of the first client is implemented as a touch screen, thereby providing a GUI (Graphical User Interface) as shown in FIG. Alternatively, the user interface 23 (FIG. 5) of the first client may be implemented by a combination of an output device such as a monitor and an input device such as a mouse.

Referring to Figure 9, the web page displayed on the user interface (23, Fig. 5) of the first client has a first section (S211), the power unit for selecting any one of a plurality of electric equipment to be installed are geographically dispersed Selects one of the plurality of radiators 40 provided at various positions of the radiator 100 A second section (S212) for selecting any one of the plurality of antennas of any one radiator, A third section S213 for selecting the type of partial discharge, and a fourth section S214 showing the structure of the power device selected in the first section S211.

The first section S211 includes an icon "GIS A" indicating the gas insulated switchgear installed in area A, an icon "GIS B" indicating the gas insulated switchgear installed in area B, and a gas insulated switchgear installed in area C Icon "GIS C ". The user can select any one of the three power devices installed in the three areas by clicking any one of the three icons.

When "GIS A" is selected by the user, the structure of the gas insulated switchgear installed in area A is displayed in the fourth section (S214) at the bottom. The user can identify the plurality of radiators 40 and the plurality of sensors 50 of the gas insulated switchgear from the structure of the gas insulated switchgear.

The second section S212 includes an icon "a" representing the radiator (a) installed at the left side of the gas insulated switchgear, an icon "b" representing the radiator (b) And an icon "c" representing the radiator c installed at the right side of the opening and closing device. The user can select any one of the three radiators while referring to the structure of the gas insulated switchgear shown in the fourth section (S214). In addition, the second section S212 may include an increase / decrease button for increasing or decreasing the identification number of a plurality of antennas. The user can select any one of the plurality of antennas by selecting any one of the identification numbers using the increase / decrease button.

9, when the radiator "b" is selected and the antenna corresponding to the identification number "3" is selected, the event information includes information indicating the third antenna of the radiator installed at the midpoint of the gas- .

The third section S213 includes an icon "VOID" representing a void discharge, an icon "CORONA" representing a corona discharge, an icon "PARTICLE" representing a particle discharge, an icon FLOATING representing a floating discharge, " The user can select any of these five types of partial discharges. The electromagnetic wave radiated to the power device 100 (Fig. 1) is determined by the type of partial discharge thus selected. For example, when a user clicks an icon representing a void discharge, a void discharge of the type of the partial discharge is selected, and a simulation signal corresponding to the electromagnetic wave generated by the void discharge can be output from the local device to the emitter.

The third section S213 may include an increase / decrease button for increasing or decreasing the identification number for a plurality of partial discharges for each type, and an icon "NEW" indicating that a simulated signal is newly generated, in addition to the icon indicating the type of partial discharge .

The event data may include data specifying any of the emitters, and characteristic factors defining the partial discharge. As described above with reference to FIG. 9, an embodiment of the present invention may provide a GUI that allows a user to conveniently input event information for generating the event data.

10 is a structural diagram of a database of a server.

Referring to FIG. 10, the database 15 (FIG. 4) of the server may store data files in which characteristic factors of the partial discharge sensed by the power device are recorded, according to types of the partial discharges.

For example, the user can select one of the data files in which the characteristic factors of the partial discharge are recorded by using the increase / decrease button for increasing or decreasing the identification number for the plurality of partial discharges by type described in FIG.

Since the data files include the characteristic factors of the partial discharge that occurred in the power device before, a highly reliable simulation based partial discharge diagnosis can be made.

11 is a structural diagram of a library of servers.

Referring to FIG. 11, the server library 16 (FIG. 4) may store a range of characteristic parameters for each type of partial discharge.

For example, the user can request the server to generate event data belonging to the type of partial discharge selected by clicking on the "NEW" icon described above in Fig. Then, the server 10 can determine the characteristic factors included in the event data by referring to the library.

Therefore, the simulation-based partial discharge diagnosis system of the present invention can simulate partial discharge generated in various aspects.

12 is a diagram showing an example of a web page displayed on the second client. The web page shown in FIG. 9 is only an example, and a web page for receiving a diagnosis answer from a user may be implemented in various other forms

12, the web page displayed in the user interface 23 (FIG. 5) of the second client includes a first section S221 for selecting any one of the plurality of sensors disposed at various positions of the power device, A second section S222 for displaying a graph representing the electromagnetic waves sensed by the sensor of the first section, a third section S223 for adjusting the value of the characteristic parameters, a fourth section S224 for controlling the graph, and And a fifth section (S225) for entering diagnostic answers.

In the first section S221, "GIS A ", which indicates that the electric power equipment in which the simulated partial discharge is generated is a gas insulation switching device installed in the area A, and an identification number of a plurality of sensors 50 installed at a plurality of positions of the electric power equipment And increase / decrease buttons for increasing / decreasing. The user can select any one of the plurality of sensors 50 using the increase / decrease button. For example, a sensor corresponding to the identification number "1" is selected in Fig. 12, and a graph indicating the electromagnetic wave sensed by the sensor having the identification number "1 " among the plurality of sensors 50 is selected in the second section S222 Is displayed.

The third section s223 includes an icon "Number" indicating the number of impulses, an icon "Height" indicating the size level, an icon "Atten" indicating the attenuation level, an icon "Phase" indicating the center phase, And an icon "RANDOM" representing random number generation.

Here, the number of impulses, the magnitude level, the attenuation level, and the center phase correspond to the characteristic factors of the partial discharge, and the output time means the time at which the simulated signal is output from the local device. The characteristic factors of the partial discharge are merely examples, and may be replaced by other characteristic factors and other characteristic factors may be added

The user can adjust the characteristic factors and the output time using the increase / decrease button on the right side of the icon of the third section S223, and the graph indicating the electromagnetic wave corresponding to the event data including the adjusted special factors, Can be confirmed in the second section (S222). On the other hand, the icon "RANDOM" indicating generation of a random number allows the user to arbitrarily select characteristic parameters.

Accordingly, the user can freely adjust the characteristic factors of the event data to learn the change of the electromagnetic wave according to the change of the characteristic factors.

The fourth section S224 includes an icon "START " for starting the updating of the graph representing the electromagnetic wave and an icon" STOP "for stopping the updating of the graph. The user can closely observe the electromagnetic wave at a specific time by clicking the icon "STOP ".

The fifth section S225 may include a message input window in which the user can enter diagnostic answers and a button "SEND" to request the diagnostic answers to be sent to the server 10.

An embodiment of the present invention may be provided with a GUI that allows a user to diagnose a mock partial discharge and conveniently enter diagnostic answers, as described above with reference to Fig.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory and are not intended to limit the invention to the particular forms disclosed. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

10: Server
11: Web page generating unit 12: Event processing unit
13: Signal analysis section 14: Diagnosis section
15: Database 16: Library
17:
20: Client
21: Event generating unit 22: Web page processing unit
23: user interface 24:
30: Local device
31: Signal generator 32: Signal detector
33:
40: radiator
50: Sensor
100: Power equipment

Claims (10)

A server for generating event data which is information on the location and type of the partial discharge;
At least one sensor for sensing an electromagnetic wave generated in the power device;
At least one radiator disposed in the power device and radiating an electromagnetic wave according to a simulated signal; And
A local device that receives the event data to generate the simulated signal, and generates detection data representing an electromagnetic wave sensed by the sensor,
Based partial discharge diagnostic system.
The method according to claim 1,
Wherein the event data comprises data specifying one of the emitters and characteristic factors defining the partial discharge.
3. The server according to claim 2,
A database in which data files recording characteristic factors of the partial discharge sensed by the power device are stored for each type of partial discharge; And
An event processor for extracting the characteristic parameters from one of the data files;
Based partial discharge diagnostic system.
3. The server according to claim 2,
A library in which a range of the characteristic parameters is stored for each type of partial discharge; And
An event processor for receiving the type of partial discharge and determining the characteristic factors by referring to the library in accordance with the type of partial discharge inputted;
Based partial discharge diagnostic system.
The method according to claim 1,
Wherein the local device generates a simulation signal that is a pulse signal having a waveform in which impulses clustered in a phase interval of a system AC signal are arranged based on the event data.
The method according to claim 1,
And a client for receiving event information and providing the event information to the server,
Wherein the server generates the event data based on the event information.
The method according to claim 1,
And a client for receiving and outputting a graph obtained by converting the detection data from the server.
The method according to claim 1,
Wherein the server generates a diagnostic result including information on at least one of whether the partial discharge has occurred, the position of the partial discharge, and the type of the partial discharge based on the event data.
Generating event data that is information on the position and type of the partial discharge;
Generating a simulation signal by receiving the event data;
Radiating an electromagnetic wave to a power device by a radiator in accordance with the simulated signal;
Sensing the electromagnetic wave by a sensor; And
Generating detection data representing the sensed electromagnetic wave
Based partial discharge diagnosis method.
A local device that receives event data, which is information on the position and type of the partial discharge, and generates a simulation signal;
At least one radiator disposed in the power device and radiating electromagnetic waves in accordance with the simulated signal; And
At least one sensor for sensing the electromagnetic waves and providing the sensed electromagnetic waves to the local device
Based partial discharge diagnostic system.

Images