CN114127817A - Remote diagnosis system with multiple wireless communication devices and method thereof - Google Patents

Remote diagnosis system with multiple wireless communication devices and method thereof Download PDF

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Publication number
CN114127817A
CN114127817A CN202080049957.9A CN202080049957A CN114127817A CN 114127817 A CN114127817 A CN 114127817A CN 202080049957 A CN202080049957 A CN 202080049957A CN 114127817 A CN114127817 A CN 114127817A
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information
input
wireless communication
time
time point
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李宗勋
姜冀宪
朴孚荣
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Sigenas Co ltd
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Sigenas Co ltd
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    • GPHYSICS
    • G08SIGNALLING
    • G08CTRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C17/00Arrangements for transmitting signals characterised by the use of a wireless electrical link
    • G08C17/02Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/12Testing 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
    • G01R31/1227Testing 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
    • G01R31/1254Testing 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 gas-insulated power appliances or vacuum gaps
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02BBOARDS, SUBSTATIONS OR SWITCHING ARRANGEMENTS FOR THE SUPPLY OR DISTRIBUTION OF ELECTRIC POWER
    • H02B13/00Arrangement of switchgear in which switches are enclosed in, or structurally associated with, a casing, e.g. cubicle
    • H02B13/02Arrangement of switchgear in which switches are enclosed in, or structurally associated with, a casing, e.g. cubicle with metal casing
    • H02B13/035Gas-insulated switchgear
    • H02B13/065Means for detecting or reacting to mechanical or electrical defects

Abstract

The method for a remote diagnosis system having a plurality of wireless communication devices according to an embodiment includes the steps of: generating first input data based on first input information associated with a first position of the gas-insulated switchgear device and first time stamp information for the first input information; judging whether a first transmission condition preset for the first wireless communication device is met or not based on the first input data; transmitting, based on the first wireless communication apparatus, first valid data associated with a first point in time when a first transmission condition is satisfied at the first point in time; generating second input data based on second input information associated with a second position of the gas-insulated switchgear and second time stamp information for the second input information; determining whether a second transmission condition preset for the second wireless communication apparatus is satisfied based on the second input data; transmitting, based on the second wireless communication apparatus, second valid data associated with a second point in time when a second transmission condition is satisfied at the second point in time; judging the defect position of the gas insulated switchgear based on the first valid data and the second valid data; and transmitting information about the defective position to the display device.

Description

Remote diagnosis system with multiple wireless communication devices and method thereof
Technical Field
The present invention relates to a remote diagnosis system, and more particularly, to a remote diagnosis system having a plurality of wireless communication devices and a method thereof.
Background
In general, high-voltage electricity flows in an electrical facility such as a Gas Insulated Switchgear (hereinafter, abbreviated as "GIS") of an electrical and power-related facility, a transformer, a switchboard, a cable, and a rotary machine (a motor and a generator), and therefore insulation is required inside the facility.
A Gas Insulated Switchgear (GIS) is a device used in an indoor and outdoor power plant and a substation, and can safely switch a line to properly protect a system not only in a normal state but also in an abnormal state such as discharge, impact, accident, short circuit, and the like.
In the GIS, a metal container filled with SF6 gas contains a bus and switching devices such as a circuit breaker, a grounding switch, and an isolator. The gas insulated switchgear has a small installation area, and provides high safety and high reliability to the external environment by using SF6 gas and a sealed structure.
However, it is difficult to identify an internal failure of a Gas Insulated Switchgear (GIS) in advance, and when a failure occurs, the size may be enlarged to cause a large-scale accident. As a method of finding a fault in a Gas Insulated Switchgear (GIS) in advance and taking measures, a method of predicting and measuring an insulation abnormality is employed.
In this specification, an insulation anomaly may be understood to include partial discharge (partial discharge) or arc discharge (ArcDischarge).
As a prior art scheme for remotely controlling a Gas Insulated Switchgear (GIS), a digital GIS field control system has been disclosed in an authorized patent publication No. 10-0895218.
Disclosure of Invention
Technical problem to be solved
An object of the present invention is to provide a remote diagnosis system having a plurality of wireless communication devices and a method thereof, which are improved in portability and mobility and have excellent reliability.
Means for solving the problems
The present description relates to a method for a remote diagnostic system having a plurality of radio communication devices. The method for the remote diagnosis system with a plurality of wireless communication devices comprises the following steps: generating first input data based on first input information associated with a first position of the gas-insulated switchgear device and first time stamp information for the first input information; judging whether a first transmission condition preset for the first wireless communication device is met or not based on the first input data; transmitting, based on the first wireless communication apparatus, first valid data associated with a first point in time when a first transmission condition is satisfied at the first point in time; generating second input data based on second input information associated with a second position of the gas-insulated switchgear and second time stamp information for the second input information; determining whether a second transmission condition preset for the second wireless communication apparatus is satisfied based on the second input data; transmitting, based on the second wireless communication apparatus, second valid data associated with a second point in time when a second transmission condition is satisfied at the second point in time; judging the defect position of the gas insulated switchgear based on the first valid data and the second valid data; and transmitting information about the defective position to the display device.
Effects of the invention
According to an embodiment of the present specification, there is provided a remote diagnosis system having a plurality of wireless communication devices and a method thereof, which are improved in portability and mobility and have excellent reliability.
Drawings
Fig. 1 is a conceptual diagram showing a remote diagnosis system having a plurality of communication devices according to the present embodiment;
fig. 2 is a diagram showing a structure of a waveguide of the gas-insulated switchgear;
fig. 3 is a diagram showing an operation method of a remote diagnosis system having a plurality of wireless communication devices according to the present embodiment;
fig. 4 is a block diagram showing the inside of a wireless communication apparatus according to the present embodiment;
fig. 5 is a diagram showing an example of input data generated on the basis of time stamp information according to the present embodiment;
FIG. 6 is a flow chart illustrating a method for use in a remote diagnostic system having a plurality of wireless communication devices according to the present embodiment;
fig. 7 is a detailed diagram showing transmission conditions preset for the wireless communication apparatus according to the present embodiment;
fig. 8 shows an extended example of a remote diagnosis system having a plurality of wireless communication apparatuses according to the present embodiment;
fig. 9 shows an extended example of a remote diagnosis system having a plurality of wireless communication apparatuses to which the present another embodiment relates;
fig. 10 is a diagram showing a time synchronization process for use in a remote diagnosis system having a plurality of wireless communication apparatuses according to the present embodiment;
fig. 11 shows an application example of the wireless communication apparatus according to the present embodiment.
Detailed Description
The above features and the following detailed description are provided to aid in the description and understanding of exemplary aspects of the present description. That is, the present specification is not limited to such an embodiment, and may be embodied in other forms. The following embodiments are merely examples for sufficiently disclosing the present specification, and are descriptions for communicating the present specification to a person of ordinary skill in the art. Therefore, if there are a plurality of methods for realizing the constituent elements of the present specification, it is necessary to make clear that any specific or same one of these methods can realize the present specification.
When it is mentioned in the specification that a certain composition includes a specific element or a certain process includes a specific step, it means that other elements or other steps may be included. That is, the terms used in the present specification are only for describing specific embodiments, and are not intended to limit the concept of the present specification. Furthermore, the examples described to aid in the understanding of the invention include additional embodiments thereof.
The terms used in the present specification have meanings commonly understood by those of ordinary skill in the art to which the present specification belongs. Commonly used terms are to be construed in a consistent manner within the context of this specification. Furthermore, terms used in the specification should not be construed as excessively idealized or formal meanings unless their meanings are explicitly defined. Hereinafter, embodiments of the present specification will be described with reference to the accompanying drawings.
Fig. 1 is a conceptual diagram illustrating a remote diagnosis system having a plurality of communication devices according to the present embodiment.
Referring to fig. 1, a Gas Insulated Switchgear (GIS)10 of fig. 1 can integrally accommodate switchgear such as an isolator and a circuit breaker, a current transformer, a surge arrester, a main circuit bus, and the like in a metal tank.
Further, SF6 gas having high insulating performance and arc extinguishing capability is filled in the gas insulated switchgear 10, and the gas insulated switchgear 10 is compact in structure, excellent in stability and environmental harmony, and thus widely used.
On the other hand, the presence of voids, impurities or cracks due to manufacturing processes, mechanical pressure or insulation aging and process defects may cause Partial Discharge (hereinafter, simply referred to as "PD") to occur inside the insulation material of a High Voltage (HV) device.
When a partial discharge (or Arc discharge) occurs in the gas insulated switchgear 10, electromagnetic waves are released in the form of light or heat, or sound in the audible and ultrasonic range is emitted. Alternatively, a Transient current or a Transient Earth Voltage (hereinafter, simply referred to as "TEV") may be discharged due to a partial discharge (or arc discharge).
The plurality of sensor devices 20_1 to 20_ N (N is a natural number) of fig. 1 may be provided at a plurality of predetermined positions 15_1 to 15_ N (N is a natural number of 2 or more) for measuring the generation of an arc by Partial Discharge (PD) of the gas insulated switchgear (10).
Each of the plurality of sensor devices 20_1 to 20_ N of FIG. 1 can transmit information sensed from each of the locations 15_1 to 15_ N to the wireless communication devices 100_1 to 100_ N corresponding to each of the locations 15_1 to 15_ N.
Each of the plurality of sensor devices 20_ 1-20 _ N of FIG. 1 may include an Ultra High Frequency (UHF) sensor, a High Frequency Current Transformer (HFCT) sensor, an ultrasonic microphone sensor, an acoustic touch sensor, a TEV sensor, or a coupling capacitor, and a phase-resolved analysis system for comparing pulse timing to AC Frequency.
For example, the first sensor device 20_1 may transmit first sensing information related to pressure waves measured at the first location due to partial discharge (or arc discharge), second sensing information related to pressure measured at the first location due to partial discharge (or arc discharge), and third sensing information related to heat measured at the first location due to partial discharge (or arc discharge) to the first wireless communication device 100_ 1.
Similarly, the nth sensor device 20_ N may transmit first sensing information related to pressure waves measured at the nth location due to partial discharge (or arc discharge), second sensing information related to pressure measured at the nth location due to partial discharge (or arc discharge), and third sensing information related to heat measured at the nth location due to partial discharge (or arc discharge) to the nth wireless communication device 100_ N.
Each of the plurality of wireless communication devices 100_1 to 100_ N of FIG. 1 can receive a plurality of pieces of sensing information from each of the plurality of sensor devices 20_1 to 20_ N. In addition, each of the plurality of wireless communication devices 100_1 to 100_ N can transmit valid data corresponding to each of the locations 15_1 to 15_ N to the diagnostic control device 200.
On the other hand, the plurality of wireless communication devices 100_1 to 100_ N of FIG. 1 can be implemented based on Long Range (LoRa) communication. Therefore, a plurality of wireless communication devices 100_1 to 100_ N can communicate with user devices at distances of 1km to several km.
The diagnosis control device 200 of FIG. 1 can determine the defect position of the gas insulated equipment based on a plurality of effective data received from a plurality of sensor devices 20_1 to 20_ N. A process of determining a defective position according to the present embodiment will be described in more detail with reference to the drawings described later.
The display apparatus 30 of fig. 1 may implement visual information or a User Interface (UI) for a User based on the defect location information judged by the diagnosis control apparatus 200.
Conventionally, in order to transmit sensor information due to partial discharge (or arc discharge), a wired local area network and a constant power supply have been used, and therefore, there is an inconvenience that the sensor must be fixedly used at a specific location.
On the contrary, the plurality of wireless communication devices 100_1 to 100_ N according to the present embodiment are portable devices, and therefore have an advantage that partial discharge (or arc discharge) can be detected at a position desired by a user. Also, the detection of partial discharge (or arc discharge) of the GIS device becomes easy, thereby improving the reliability of the preventive diagnosis technology.
Fig. 2 is a diagram showing the structure of a waveguide of the gas-insulated switchgear.
Referring to fig. 2, a part 20 of a general Gas Insulated Switchgear (GIS) has an inner Conductor (Conductor)21 and a metal-enclosed circular housing (Enclosure)22, and a structure for transferring energy along a coaxial line when an electric field and a magnetic field are generated by gas insulation using SF 6.
Meanwhile, inspection windows (windows) 23 to 28 designed and manufactured for maintenance of a Gas Insulated Switchgear (GIS) have a Circular cross-section, a hollow metal pipe shape, and a Circular waveguide (Circular waveguide) structure gas-insulated with SF 6.
The partial discharge signal (or arc discharge signal) propagates along the inner conductor 21 at different wavelengths (propagation), and due to reflection (reflection), electromagnetic wave dispersion (dispersion) propagates, interference between signals occurs and delay (delay) occurs, or attenuation (attenuation) occurs when the signals encounter media (spacers) with different dielectric constants.
Fig. 3 is a diagram showing an operation method of the remote diagnosis system having a plurality of wireless communication devices according to the present embodiment.
Referring to fig. 1 to 3, a portion 30 of a Gas Insulated Switchgear (GIS) may include a first inspection window 34 disposed at a first location, a second inspection window 35 disposed at a second location, and a third inspection window 36 disposed at a third location. On the other hand, the first sensor device 38_1 and the second sensor device 38_2 may be spaced apart by an interval L.
The first inspection window 34 of fig. 3 may be mounted with a first sensor device 38_1, the first sensor device 38_1 being used to measure an arc generated due to partial discharge (or arc discharge). Further, the first wireless communication device 300_1 may be integrated with the first sensor device 38_ 1.
The second inspection window 35 of fig. 3 may be mounted with a second sensor device 38_2, and the second sensor device 38_2 is used to measure an arc generated due to partial discharge (or arc discharge). Further, the second wireless communication device 300_2 may be combined with the second sensor device 38_ 2.
For a clear and concise understanding of fig. 3, it is assumed that a partial discharge (or arc discharge) occurs due to an insulation defect at a specific position P in a portion 30 of a Gas Insulated Switchgear (GIS).
The first sensor device 38_1 of fig. 3 can detect the first pressure wave W1 generated from the specific position P by the partial discharge (or arc discharge).
For example, the first sensor device 38_1 of fig. 3 may perform a high-speed (e.g., 20,000 times per second) sampling operation on the first pressure wave W1. The first sensor device 38_1 may transmit first sampling information W1_ S obtained by a high-speed sampling operation on the first pressure wave W1 to the first wireless communication device 300_ 1.
On the other hand, the second sensor device 38_2 of fig. 3 may detect the second pressure wave W2 generated from the specific position P by the partial discharge (or arc discharge).
For example, the second sensor device 38_2 of fig. 3 may perform a high-speed (e.g., 20,000 times per second) sampling operation on the second pressure wave W2. The second sensing device 38_2 may transmit second sampling information W2_ S obtained by a high-speed sampling operation on the second pressure wave W2 to the second wireless communication device 300_ 2.
The first wireless communication apparatus 300_1 of fig. 3 may store the first input data W1_ D generated based on the first sampling information W1_ S. For example, the first input data W1_ D may include first input information W1_ I obtained by Analog-to-Digital Conversion (Analog-Digital Conversion) of the first sample information W1_ S and first time stamp information TimeTag _1 for the first input information W1_ I.
Likewise, the second wireless communication apparatus 300_2 of fig. 3 may store the second input data W2_ D generated based on the second sampling information W2_ S. For example, the second input data W2_ D may include second input information W2_ I obtained by Analog-to-Digital Conversion (Analog-Digital Conversion) of the second sample information W2_ S and second time stamp information TimeTag _2 for the second input information W2_ I.
In this specification, a process of generating input data based on sampling information will be described in more detail with reference to the drawings described later.
According to the present embodiment, the first wireless communication apparatus 300_1 of fig. 3 may determine whether the preset transmission condition is satisfied based on the first graph 301 associated with the first input data W1_ D.
For example, the first detection time point td1 at which the first graph 301 exceeds the preset threshold TH _ v may be understood as: a point in time when a transmission condition preset for the first wireless communication apparatus 300_1 is satisfied.
The first wireless communication apparatus 300_1 may transmit the first valid data D _ v1 defined within a predetermined period of time to the diagnostic control apparatus 320 based on the first input data W1_ D if a transmission condition preset for the first wireless communication apparatus 300_1 is satisfied.
For example, the first valid data D _ v1 is: in the first input data W1_ D, information corresponding to a time period (for example, td1-t1 to td1+ t2) between a time point early t1 and a time point late t2 with respect to the first detection time point td 1. For example, t1 may be 0.2 seconds and t2 may be 0.8 seconds.
The second wireless communication apparatus 300_2 of fig. 3 may store the second input data W2_ D generated based on the second sampling information W2_ S. For example, the second input data W2_ D may include second input information W2_ I obtained by Analog-to-Digital Conversion (Analog-Digital Conversion) of the second sample information W2_ S and second time stamp information TimeTag _2 for the second input information W2_ I.
The second wireless communication apparatus 300_2 of fig. 3 may determine whether the preset transmission condition is satisfied based on the second graph 302 related to the second input data W2_ D.
For example, the second detection time point td2 when the second graph 302 exceeds the preset threshold TH _ v may be understood as: a point in time when a transmission condition preset for the second wireless communication apparatus 300_2 is satisfied.
The second wireless communication apparatus 300_2 may transmit the second valid data D _ v2, which is defined within a preset period of time, to the diagnostic control apparatus 320 based on the second input data W2_ D if the transmission condition preset for the second wireless communication apparatus 300_2 is satisfied.
For example, the second valid data D _ v2 is: in the second input data D _ I2, information corresponding to a time period (e.g., td2-t3 to td2+ t4) between a time point earlier by t3 and a time point later by t4 with reference to the second detection time point td 2. For example, t3 may be 0.2 seconds and t4 may be 0.8 seconds.
The diagnosis control means 320 of fig. 3 can estimate the defect position P of the gas insulated switchgear 30 based on the following mathematical formula 1.
[ math test 1]
y1=v*dt
Here, dt in mathematical formula 1 can be understood as: a time difference between the second sensing time point td2 associated with the second valid data D _ v2 and the first sensing time point td1 associated with the first valid data D _ v 1. For reference, v in mathematical formula 1 is a propagation velocity of the pressure wave, which is a value actually measured in the field.
For example, if the value of y1 calculated based on mathematical expression 1 is smaller than (or similar to) the separation distance L between the first sensor device 38_1 and the second sensor device 38_2, the diagnostic control device 320 may determine that the defect position P exists in the vicinity of the first sensor device 38_ 1.
On the other hand, if the value of y1 calculated based on mathematical expression 1 is greater than the separation distance L between the first and second sensor devices 38_1 and 38_2, the diagnostic control device 320 may determine that the defect position P does not exist between the first and second sensor devices 38_1 and 38_ 2.
On the other hand, the diagnosis control means 320 may calculate the distance y2 from the sensor device (e.g., 38_1) closest to the defect position P based on the following mathematical formula 2.
[ math test 2]
Figure BDA0003460063740000081
Dt in mathematical formula 2 can be understood as: a time difference between the second sensing time point td2 associated with the second valid data D _ v2 and the first sensing time point td1 associated with the first valid data D _ v 1. For reference, v in equation 2 is a propagation velocity of the pressure wave, which is a value actually measured in the field.
For example, y2 in mathematical formula 2 may represent the distance from the first sensor device 38_1 to the defect position P. That is, when the distance L between the two sensor devices corresponds to 20 meters (m), when the resultant value y2 based on equation 2 is "5", it can be understood that the defect position P is located at a distance of 5 meters (m) from the first sensor device 38_ 1.
For example, the third graph 303 may be generated based on the first valid data D _ v1 and the second valid data D _ v 2. Specifically, information on the time difference dt of the third graph 303 may be obtained based on the first valid data D _ v1 and the second valid data D _ v 2. In this regard, it will be described in more detail with reference to the following drawings.
It should be understood that the diagnostic control 320 of fig. 3 may be provided integrally with a display device (e.g., 30 of fig. 1) that displays the calculation results to the user as appropriate.
In fig. 3, a description of the remote diagnosis system operating based on two wireless communication apparatuses provided in two inspection windows is disclosed, but it should be understood that the description may also be applied to operations based on three or more multi-wireless communication apparatuses provided in three or more inspection windows.
Fig. 4 is a block diagram showing the inside of the wireless communication apparatus according to the present embodiment.
Referring to fig. 1 to 4, it is understood that the wireless communication device 400 according to the present embodiment may be combined with any one of a plurality of sensor devices provided on a plurality of inspection windows (e.g., 34 and 35 in fig. 2) of a gas insulated switchgear (GIS, 30).
Referring to fig. 4, the wireless communication apparatus 400 may include an amplification module 410, an ADC module 420, an FPGA module 430, a time module 440, a storage module 450, and a communication module 460. The amplification module 410 of fig. 4 may be connected to an external sensor device to receive a plurality of sampled information related to partial discharge (or arc discharge).
For example, the plurality of sampling information may include: the information processing apparatus includes sampling information T _ S for a temperature T caused by partial discharge (or arc discharge), sampling information P _ S for a pressure P caused by Partial Discharge (PD), and sampling information W _ S for a pressure wave W caused by partial discharge (or arc discharge).
On the other hand, the amplifying module 410 of fig. 4 may amplify and output each signal based on an Operational Amplifier (hereinafter, abbreviated as "OPAMP") according to the type of the plurality of sampling information.
For example, the amplification module 410 may output amplified sampling information T _ S' for a temperature T generated due to partial discharge (or arc discharge). The amplification module 410 may output amplified sampling information P _ S' for the pressure P generated due to the Partial Discharge (PD). The amplification module 410 may output amplified sampling information W _ S' for the pressure wave W generated due to the partial discharge (or arc discharge).
For example, the amplified sampling information T _ S 'for the temperature T may be defined in the range of-30 ℃ to 80 ℃, and the amplified sampling information P _ S' for the pressure P may be defined in the range of-1 bar to 10 bar. Further, the amplified sampling information W _ S' for the pressure wave W may be defined in the range of-10V to + 10V.
The ADC module 420 of fig. 4 may perform Analog-to-Digital Conversion (Analog-to-Digital Conversion) on the amplified sampling information T _ S ', P _ S ', and W _ S ', respectively, and output input information T _ I, P _ I, W _ I.
The Field Programmable Gate Array (hereinafter, abbreviated as "FPGA") module 430 of fig. 4 may perform high-speed signal processing steps based on the clock signal CLK received from the time module 440.
According to the present embodiment, the FPGA module 430 according to the present embodiment may perform signal processing more than 20,000 times per second in order to process information input from the external sensor device in real time.
The FPGA module 430 of fig. 4 may tag a plurality of input information (e.g., T _ I, P _ I, W _ I of fig. 4) with time tag information (TimeTag) based on a Clock (CLK) signal received from the time module 440, generating a plurality of input data T _ D, P _ D, W _ D.
In addition, the FPGA module 430 may store a plurality of input data T _ D, P _ D, W _ D in the storage module 450.
In addition, the FPGA module 430 may determine whether a preset transfer condition is satisfied based on the input data (or a graph for the input data).
For example, the FPGA module 430 may determine that a preset transmission condition is satisfied when a graph of the input data W _ D related to the pressure wave W exceeds a preset threshold.
If it is determined that the preset transmission condition is satisfied, the valid data D _ v defined based on the input data W _ D related to the pressure wave W may be transmitted to the communication module 460. The preset conveyance conditions mentioned in the present specification will be described in more detail with reference to the drawings described later.
The time module 440 may send a predetermined Clock (CLK) signal to the FPGA module 430.
The memory module 450 of fig. 4 may be connected to the FPGA module 430 based on a Serial Peripheral Interface (hereinafter, abbreviated as "SPI"). In addition, the storage module 450 may be implemented by a flash memory. For example, a plurality of input data T _ D, P _ D, W _ D may be input/output through the SPI bus.
The communication module 460 of fig. 4 may be connected to the FPGA module 430 based on the SPI. That is, the communication module 460 may receive the valid data D _ v from the FPGA module 430 through the SPI bus.
For reference, the communication module 460 may transmit information received from another device to the FPGA module 430 through the SPI bus.
Pressure, pressure wave and temperature generated due to an arc of partial discharge (or arc discharge) are input to the external sensor module, and the wireless communication device according to the present embodiment can perform data processing on the input information together with time information. Thus, it can be appreciated that information about the source of partial discharges, propagation velocity, intensity, etc. can be managed in the form of large data that can be analyzed.
On the other hand, it should be understood that the wireless communication device mentioned in the present specification can be operated for a certain time by installing a battery even without a constant power source. Since the propagation velocity of the pressure wave generated by the arc is several hundreds of meters per second or more, if the time stamp operation is not accurate, the error may be large.
The wireless communication apparatus referred to in this specification can perform 20000 sampling operations per second. In other words, the wireless communication apparatus according to the present specification can perform the time stamp operation in units of 50 μ.
As a result, it can be understood that the wireless device to which this specification relates can estimate the defect location with an accuracy of 20,000 divided by the propagation speed of the pressure wave caused by the arc, and thus can provide a preventive diagnostic system with improved performance.
Fig. 5 is a diagram showing an example of input data generated on the basis of time stamp information according to the present embodiment.
Referring to fig. 1 to 5, the first table information 510 may be an example of input data stored in the first wireless communication apparatus (e.g., 300_1 in fig. 3).
For example, the first wireless communication apparatus (e.g., 300_1 in fig. 3) may store a plurality of input information T1_ I, P1_ I, W1_ I associated with a plurality of sampling information T1_ S, P1_ S, W1_ S input from an external sensor in the form of a plurality of input data (e.g., T1_ D, P1_ D, W1_ D in table 5) based on the first type flag information TimeTag _1 according to the clock signal (CLK).
That is, the first table information 510 may be information stored and managed by the FPGA module (e.g., 430 in fig. 4) and the storage module (e.g., 440 in fig. 4) of the first wireless communication apparatus (e.g., 300_1 in fig. 3).
On the other hand, the second table information 520 may be an example of input data stored in the second wireless communication apparatus (e.g., 300_2 in fig. 3).
For example, the second wireless communication apparatus (e.g., 300_2 in fig. 3) may store a plurality of input information T2_ I, P2_ I, W2_ I associated with a plurality of sampling information T2_ S, P2_ S, W2_ S input from the external sensor in the form of a plurality of input data (e.g., T2_ D, P2_ D, W2_ D in table 5) based on the second type flag information (TimeTag _2) according to the clock signal (CLK).
That is, the second table information 520 may be information stored and managed by the FPGA module (e.g., 430 in fig. 4) and the storage module (e.g., 440 in fig. 4) of the second wireless communication apparatus (e.g., 300_2 in fig. 3).
According to the present embodiment, a process of estimating a defect location of a partial discharge (or an arc discharge) using a time difference dt in a remote diagnosis system having a plurality of wireless communication devices may be as follows.
For example, the diagnosis control device (e.g., 320 in fig. 3) of the remote diagnosis system may confirm the time stamp information (e.g., t11) exceeding the preset threshold value in the input data W1_ D of the first table information 510. In this case, it can be understood that t11 of fig. 5 corresponds to the first detection time point td1 of fig. 3.
On the other hand, the diagnosis control means (e.g., 320 in fig. 3) of the remote diagnosis system may confirm the time stamp information (e.g., t22) exceeding the preset threshold value in the input data W2_ D of the second table information 520. In this case, it can be understood that t22 of fig. 5 corresponds to the second detection time point td2 of fig. 3.
According to the present embodiment, the diagnosis control device (e.g., 320 in fig. 3) of the remote diagnosis system may judge the time difference dt of equation 1 by the absolute value of t11-t22 (i.e., | t11-t22 |). Then, it can be understood that the process of estimating the defect position using the mathematical expressions 1 and 2 is equally applicable as described above.
Fig. 6 is a flowchart illustrating a method for use in a remote diagnosis system having a plurality of wireless communication devices according to the present embodiment.
Referring to fig. 1 to 6, the remote diagnosis system according to the present embodiment may include a plurality of wireless communication devices (e.g., 100_1 to 100_ N in fig. 1), a diagnosis control device (e.g., 200 in fig. 1), and a display device (e.g., 30 in fig. 1).
In step S610, the remote diagnosis system according to the present embodiment may store a plurality of input data W1_ D, W2_ D for a plurality of input information W1_ I, W2_ I associated with a plurality of positions (e.g., 34, 35 in fig. 3) of a gas insulated switchgear (e.g., 30 in fig. 3) in combination with a plurality of time stamp information TimeTag _1, TimeTag _ 2.
For example, the first wireless communication apparatus (e.g., 300_1 in fig. 1) may generate the first input data W1_ D based on the first input information W1_ I associated with the first position (e.g., 34 in fig. 3) of the gas insulated switchgear (e.g., 30 in fig. 3) and the first time stamp information TimeTag _1 for the first input information W1_ I.
That is, the first input information W1_ I may be: information obtained by amplifying and a-D converting the first sampled information W1_ S obtained by performing a high-speed sampling operation on the first pressure wave W1.
On the other hand, the second wireless communication apparatus (e.g., 300_2 in fig. 3) may generate the second input data W2_ D based on the second input information (W2_ I) associated with the second position (e.g., 35 in fig. 3) of the gas insulated switchgear (e.g., 30 in fig. 3) and the second time stamp information TimeTag _2 for the second input information W2_ I.
That is, the second input information W2_ I may be: information obtained by amplifying and a-D converting the second sampled information W2_ S obtained by performing a high-speed sampling operation on the second pressure wave W2.
In step S620, the remote diagnosis system according to the embodiment may determine whether at least two wireless communication devices (e.g., 300_1 and 300_2 in fig. 3) among the plurality of wireless communication devices (e.g., 100_1 to 100_ N in fig. 1) satisfy a predetermined transmission condition.
If at least two wireless communication apparatuses (e.g., 300_1, 300_2 in fig. 3) among the plurality of wireless communication apparatuses (e.g., 100_1 to 100_ N in fig. 1) do not satisfy the preset transmission condition, the process ends.
That is, when at least two wireless communication apparatuses (e.g., 300_1, 300_2 in fig. 3) among the plurality of wireless communication apparatuses (e.g., 100_1 to 100_ N in fig. 1) satisfy the preset transmission condition, the process proceeds to step S630.
In step S630, the remote diagnosis system according to the present embodiment may transmit at least two valid data based on at least two wireless communication devices (e.g., 300_1 and 300_2 in fig. 3).
For example, the first wireless communication device (300 _1 in fig. 3) may transmit the first valid data D _ v1 associated with the first time point (for example, td1 in fig. 3) to the diagnostic control device (for example, 200 in fig. 1) when the first transmission condition preset for itself satisfies the first time point (for example, td1 in fig. 3).
As an example, the first valid data D _ v1 may be: in the first input data W1_ D, information corresponding to a first time period preset with reference to a first time point (for example, td1 in fig. 3) is included.
Here, the first time period may be understood as: a time period (e.g., td1-t 1-td 1+ t2 in fig. 3) defined by a first start time point earlier than the first time point (e.g., td1 in fig. 3) by t1 and a first end time point later than the first time point (e.g., td1 in fig. 3) by t2 on the time axis.
For example, the second wireless communication device (300 _2 in fig. 3) may transmit the second valid data D _ v2 associated with the second time point (for example, td2 in fig. 3) to the diagnostic control device (for example, 200 in fig. 1) when the second transmission condition preset for itself satisfies the second time point (for example, td2 in fig. 3).
As an example, the second valid data D _ v2 may be: in the second input data W2_ D, information corresponding to a second time period set in advance with reference to a second time point (e.g., td2 in fig. 3).
Here, the second period of time may be understood as: a time period (e.g., td2-t 3-td 2+ t4 in fig. 3) defined by a second start time point earlier than the second time point (e.g., td2 in fig. 3) by t1 and a second end time point later than the first time point (e.g., td2 in fig. 3) by t2 on the time axis.
The conveyance conditions mentioned in the present embodiment will be described in more detail with reference to the drawings described later.
In step S640, the remote diagnosis system according to the present embodiment may determine a defect position of the gas insulated switchgear based on at least two valid data.
For example, the remote diagnosis system related to the present embodiment may acquire information for a reference time point (e.g., t11 in fig. 5) exceeding a preset threshold value based on the time stamp information TimeTag _1 associated with the first valid data D _ v 1.
Further, the remote diagnosis system related to the present embodiment may acquire information for a reference time point (e.g., t22 in fig. 5) exceeding a preset threshold value based on the time stamp information TimeTag _2 associated with the second valid data D _ v 2.
Then, the remote diagnosis system according to the present embodiment can determine the defect position of the gas insulated switchgear based on the above equations 1 and 2. In this case, it is understood that the process of determining the defective position of the gas insulated switchgear using equations 1 and 2 may be replaced with the above description.
In step S650, the remote diagnosis system according to the present embodiment may transmit information about the defect position of the gas insulated switchgear to a display device (e.g., 30 in fig. 1).
The remote diagnosis system for a gas insulated switchgear to which the present embodiment relates may be implemented based on a wireless communication device, and thus has improved performance in terms of portability and mobility.
In addition, the remote diagnosis system for the gas insulated switchgear according to the present embodiment may process sampling information associated with insulation defects received from an external sensor device in real time, and thus may provide early warning due to initial insulation defects inside the gas insulated switchgear, thereby minimizing failures caused by insulation breakdown of a high voltage device.
Fig. 7 is a specific diagram showing transmission conditions preset for the wireless communication apparatus according to the present embodiment.
Referring to fig. 1 to 7, the first valid data D _ v1 of the first wireless communication apparatus (300 _1 in fig. 3) may include input information W1_ I1 to W1_ I3 associated with pressure waves (W1 in fig. 3) of a certain period of time (e.g., T1 to T3 in fig. 7).
The first wireless communication apparatus (300 _1 in fig. 3) according to the present embodiment may determine the first valid data D _ v1 by considering both the first threshold TH #1 and the second threshold TH # 2.
For example, the first wireless communication device (300 _1 in fig. 3) may determine that the magnitude of the second input information W1_ I2 associated with the pressure wave (W1 in fig. 3) corresponding to the second time point T2 is greater than the first threshold TH # 1.
In this case, the first wireless communication apparatus (300 _1 in fig. 3) may further determine whether or not the difference between the first input information W1_ I1 and the second input information W1_ I2, which is information on the pressure wave (W1 in fig. 3) corresponding to the first time point T1 earlier than the second time point T2 by T1, is greater than the second threshold value TH # 2.
It can be understood that, since the first threshold TH #1 and the second threshold TH #2 are considered at the same time, it is possible to prevent a situation where valid data is unnecessarily transmitted due to external noise, thereby providing a better-performing remote diagnosis system.
Further, although only the transmission condition preset for the first wireless communication apparatus (300 _1 in fig. 3) is described in fig. 7, it is understood that the first threshold TH #1 and the second threshold TH #2 are also considered together in order to determine whether the transmission condition of the other wireless communication apparatus is satisfied.
Fig. 8 shows an extended example of a remote diagnosis system having a plurality of wireless communication apparatuses according to the present embodiment.
Referring to fig. 1 to 8, the remote diagnosis system according to the embodiment may include first to third wireless communication devices 810_1 to 810_3, a diagnosis control device 820, and a display device 830.
For clear and concise understanding of fig. 8, the description is made on the premise that the transmission conditions preset for the first and second wireless communication apparatuses 810_1, 810_2 are satisfied and the transmission conditions preset for the third wireless communication apparatus 810_3 are not satisfied.
Referring to fig. 8, the first wireless communication device 810_1 may transmit the first valid data D _ v1 to the diagnosis control device 820 in step S810.
In step S820, the second wireless communication device 810_2 may transmit the second valid data D _ v2 to the diagnosis control device 820.
In step S830, the diagnosis control device 820 may determine the defect occurrence position of the Gas Insulated Switchgear (GIS) using the above equation 1 and equation 2 based on the first valid data D _ v1 and the second valid data D _ v 2.
In step S840, the diagnosis control device 820 may transmit the judgment information on the defect position to the display device 830.
Fig. 9 shows an extended example of a remote diagnosis system having a plurality of wireless communication apparatuses according to the present further embodiment.
For clarity and conciseness in understanding fig. 9, the description is made on the premise that the transmission conditions preset for the first to third wireless communication apparatuses 910_1, 910_2, 910_3 are satisfied.
Referring to fig. 9, in step S910, the first wireless communication apparatus 910_1 may transmit the first valid data D _ v1 to the diagnosis control apparatus 920.
In step S920, the second wireless communication apparatus 910_2 may transmit the second valid data D _ v2 to the diagnosis control apparatus 920.
In step S930, the third wireless communication apparatus 910_3 may transmit the third valid data D _ v3 to the diagnosis control apparatus 920.
In step S940, the diagnosis control device 920 may repeatedly determine the defect occurrence position of the Gas Insulated Switchgear (GIS) using the above-described numerical expressions 1 and 2 based on the first to third valid data D _ v1 to D _ v 3.
For example, the diagnosis control device 920 may determine the defect occurrence position of the Gas Insulated Switchgear (GIS) using the above equation 1 and equation 2 based on the D _ v1 and the second valid data D _ v 2.
Next, the diagnosis control device 920 may determine the defect occurrence position of the Gas Insulated Switchgear (GIS) using the above equation 1 and equation 2 based on the second valid data D _ v2 and the third valid data D _ v 3.
In step S950, the diagnosis control device 920 may transmit the judgment information on the defect position to the display device 930.
Fig. 10 is a diagram showing a time synchronization process used in a remote diagnosis system having a plurality of wireless communication apparatuses according to the present embodiment.
The remote diagnosis system according to the present embodiment requires a Time synchronization (Time synchronization) process between a plurality of wireless communication apparatuses.
Referring to fig. 10, a plurality of wireless communication apparatuses 1010_1, 1010_2,. -, 1010_ N may use a portable time server device 1020 that sets an absolute time for time synchronization.
For example, a time module (e.g., 440 in fig. 4) contained in each of the plurality of wireless communication apparatuses 1010_1, 1010_2,. and 1010_ N may generate a clock signal (CLK) based on an absolute time provided from the portable time server device 1020.
As described above, the clock signal (CLK) generated by the time module (e.g., 440 of fig. 4) included in each of the plurality of wireless communication devices 1010_1, 1010_ 2.
Fig. 11 shows an application example of the wireless communication apparatus according to the present embodiment.
Referring to fig. 11, the wireless communication apparatus 1100 according to the present embodiment may be combined with an external sensor 11 provided on an inspection window at a specific position of a gas insulated switchgear.
In the embodiments of the present specification, although specific examples have been described, various modifications may be made without departing from the scope of the present specification. Accordingly, the scope of the present description should not be limited to the above-described embodiments, but should be determined by the claims and their equivalents.

Claims (11)

1. A method for use in a remote diagnostic system having a plurality of wireless communication devices, the method comprising the steps of:
generating first input data based on first input information associated with a first position of a gas-insulated switchgear and first time stamp information for the first input information;
judging whether a first transmission condition preset for a first wireless communication device is met or not based on the first input data;
transmitting, based on the first wireless communication device, first valid data associated with a first point in time when a first transmission condition is satisfied at the first point in time;
generating second input data based on second input information associated with a second position of the gas-insulated switchgear and second time stamp information for the second input information;
determining whether a second transmission condition preset for a second wireless communication apparatus is satisfied based on the second input data;
transmitting, based on the second wireless communication apparatus, second valid data associated with a second point in time when a second transmission condition is satisfied at the second point in time;
judging the defect position of the gas insulated switchgear based on the first valid data and the second valid data; and
transmitting information about the defective position to a display device.
2. The method of claim 1, wherein,
the first valid data is information corresponding to a first time period preset with reference to the first time point in the first input data,
the first time period is defined based on a first start time point earlier than the first time point by t1 and a first end time point later than the first time point by t2 on a time axis.
3. The method of claim 2, wherein,
and when a first input value corresponding to the first time point in the first input data is greater than a preset first threshold value and a difference value between a second input value corresponding to the first starting time point in the first input data and the first input value is greater than a preset second threshold value, the first transmission condition is met.
4. The method of claim 1, wherein,
the second valid data is information corresponding to a second time period preset with reference to the second time point in the second input data,
the second time period is defined based on a second start time point earlier than the second time point by t3 and a second end time point later than the second time point by t4 on the time axis.
5. The method of claim 4, wherein,
and when a third input value corresponding to the second time point in the second input data is greater than a preset third threshold value and a difference value between a fourth input value corresponding to the second starting time point in the second input data and the third input value is greater than a preset second threshold value, the second transmission condition is satisfied.
6. The method of claim 1, wherein,
the first input information and the second input information are associated with the same insulation defect within the gas-insulated switchgear,
the first input information and the second input information are information associated with pressure waves generated due to the insulation defect.
7. The method of claim 1, wherein,
the step of judging the defective position of the gas insulated switchgear includes the steps of:
calculating a time difference based on the first time stamp information and the second time stamp information; and
estimating the defect location based on the separation distance between the first location and the second location and the time difference.
8. The method of claim 1, wherein,
the first input information is information obtained by analog-to-digital converting first sampling information input from a first sensor device at the first position,
the second input information is information obtained by analog-to-digital converting second sampling information input from a second sensor device at the second position.
9. A wireless communication apparatus provided at a specific location of a gas insulated switchgear in a remote diagnosis system, the wireless communication apparatus comprising:
an amplification module for amplifying sampling information acquired from an external sensor device;
the analog-to-digital conversion module is used for converting the amplified sampling information into input information;
a field programmable gate array module which combines time stamp mark information for the input information on the input information and stores the time stamp mark information as input data, judges whether a preset transmission condition is satisfied or not based on the input data, and transmits valid data associated with a specific time point when the transmission condition is satisfied at the specific time point; and
and the communication module is used for sending actions based on the effective data.
10. The wireless communication apparatus of claim 9,
the valid data is information corresponding to a time period preset with reference to the specific time point in the input data,
the time period is defined based on a start time point earlier than the specific time point by t1 and an end time point later than the specific time point by t2 on a time axis.
11. The wireless communication apparatus of claim 10,
and when a first input value corresponding to the specific time point in the input data is greater than a preset first threshold value and a difference value between a second input value corresponding to the starting time point in the input data and the first input value is greater than a preset second threshold value, the transmission condition is satisfied.
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Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1039659A (en) * 1988-05-16 1990-02-14 株式会社日立制作所 Be used for the abnormality diagnostic system and method for high voltage electric power equip ment
US20080103732A1 (en) * 2006-11-01 2008-05-01 Abb Research Ltd. Electrical substation monitoring and diagnostics
CN101650407A (en) * 2009-09-02 2010-02-17 江苏省电力公司常州供电公司 Sulfur hexafluoride gas insulation totally-enclosed combined electric partial discharge detection and positioning system
US20110191432A1 (en) * 2010-02-03 2011-08-04 Layson Jr Hoyt M Location Derived Messaging System
CN103094995A (en) * 2012-09-28 2013-05-08 友达光电股份有限公司 wireless power transmission device
CN103592629A (en) * 2013-10-21 2014-02-19 国家电网公司 Transformer substation multi-target accurate positioning system
KR20170060626A (en) * 2015-11-24 2017-06-02 한국전력공사 Apparatus, system, and method for remote diagnostic of switch
CN107390097A (en) * 2017-07-17 2017-11-24 天津科技大学 A kind of acoustoelectric combined shelf depreciation simulation detection system of GIS and its detection method
KR20180049981A (en) * 2016-11-04 2018-05-14 한국전력공사 Apparatus and method for detecting partial discharge in gas insulated switchgear
CN108646148A (en) * 2018-04-13 2018-10-12 贵州电网有限责任公司都匀供电局 GIS device fault diagnosis precise positioning method based on photoelectric detecting technology
CN108761281A (en) * 2018-04-10 2018-11-06 国家电网公司 Gas-insulated transmission line status monitoring and partial discharge positioning method and system

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101235868B1 (en) * 2008-06-30 2013-02-21 현대중공업 주식회사 Remote Management Methode for GIS Preventive Diagnosis System
KR20110045854A (en) * 2009-10-28 2011-05-04 주식회사 세니온 Apparatus and method for detecting arc fault in power supply networks
KR101266952B1 (en) * 2011-03-18 2013-05-30 한전케이디엔주식회사 System and method for management of section of gas insulated switchgear
US9955239B2 (en) * 2016-07-15 2018-04-24 Honeywell International Inc. Configurable secure mobile tool for AMI and AMR metering systems

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1039659A (en) * 1988-05-16 1990-02-14 株式会社日立制作所 Be used for the abnormality diagnostic system and method for high voltage electric power equip ment
US20080103732A1 (en) * 2006-11-01 2008-05-01 Abb Research Ltd. Electrical substation monitoring and diagnostics
CN101650407A (en) * 2009-09-02 2010-02-17 江苏省电力公司常州供电公司 Sulfur hexafluoride gas insulation totally-enclosed combined electric partial discharge detection and positioning system
US20110191432A1 (en) * 2010-02-03 2011-08-04 Layson Jr Hoyt M Location Derived Messaging System
CN103094995A (en) * 2012-09-28 2013-05-08 友达光电股份有限公司 wireless power transmission device
CN103592629A (en) * 2013-10-21 2014-02-19 国家电网公司 Transformer substation multi-target accurate positioning system
KR20170060626A (en) * 2015-11-24 2017-06-02 한국전력공사 Apparatus, system, and method for remote diagnostic of switch
KR20180049981A (en) * 2016-11-04 2018-05-14 한국전력공사 Apparatus and method for detecting partial discharge in gas insulated switchgear
CN107390097A (en) * 2017-07-17 2017-11-24 天津科技大学 A kind of acoustoelectric combined shelf depreciation simulation detection system of GIS and its detection method
CN108761281A (en) * 2018-04-10 2018-11-06 国家电网公司 Gas-insulated transmission line status monitoring and partial discharge positioning method and system
CN108646148A (en) * 2018-04-13 2018-10-12 贵州电网有限责任公司都匀供电局 GIS device fault diagnosis precise positioning method based on photoelectric detecting technology

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
宋东波: "几起GIS绝缘件局部放电缺陷的检测与分析", 《 高压电器 》, vol. 54, no. 11, pages 153 - 158 *

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