CN112630554B - Online monitoring device and method for line arrester with series gap - Google Patents
Online monitoring device and method for line arrester with series gap Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 59
- 238000012806 monitoring device Methods 0.000 title claims abstract description 22
- 230000005540 biological transmission Effects 0.000 claims abstract description 18
- 239000000284 extract Substances 0.000 claims abstract description 18
- 238000003745 diagnosis Methods 0.000 claims description 24
- 238000012544 monitoring process Methods 0.000 claims description 19
- 230000009466 transformation Effects 0.000 claims description 8
- 238000013528 artificial neural network Methods 0.000 claims description 7
- 230000000630 rising effect Effects 0.000 claims description 4
- XLOMVQKBTHCTTD-UHFFFAOYSA-N Zinc monoxide Chemical compound [Zn]=O XLOMVQKBTHCTTD-UHFFFAOYSA-N 0.000 description 8
- 239000011787 zinc oxide Substances 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 238000001914 filtration Methods 0.000 description 3
- 208000025274 Lightning injury Diseases 0.000 description 2
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- 230000000694 effects Effects 0.000 description 2
- 230000005674 electromagnetic induction Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
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Abstract
The invention provides an online monitoring device and method for a line arrester with a series gap, comprising a current sensor, a front-end host, a data processing center and a near-zone acquisition terminal; the current sensor is arranged at the low-voltage end of the gap lightning arrester and used for collecting lightning current and power frequency current generated after a line is struck by lightning and transmitting the lightning current and the power frequency current to the front-end host; the front-end host machine processes the received current signal to form a standard waveform, and transmits the standard waveform to the data processing center through a network while storing the standard waveform locally; the near-zone acquisition terminal acquires the standard waveform data stored in the front-end host locally in a non-contact data transmission mode and sends the standard waveform data to the data processing center; the data processing center analyzes the received standard waveform data and extracts the characteristic quantities of the standard waveform of the lightning current and the standard waveform of the power frequency current; and the data processing center diagnoses the fault degree of the lightning arrester by comparing the two types of waveform time length characteristics.
Description
Technical Field
The invention relates to the technical field of online monitoring of lightning arresters, in particular to an online monitoring device and method for a line lightning arrester with a series gap.
Background
The series gap ZnO arrester serving as a typical line lightning protection device can limit the overvoltage level of a transformer substation and a line in a mode of instantly conducting and releasing current, and the device is widely applied to a power system in China in recent years, so that the effect is obvious. However, under the influence of the severe environment of a line channel, the zinc oxide valve plates of a part of lightning arrester can be cracked and damped in the long-term net hanging operation, the phenomenon can not be directly shown and is extremely difficult to find, the overvoltage suppression capability is reduced due to the long-term fault operation, and even explosion accidents are caused under the action of instantaneous extremely large current. Therefore, the lightning arrester online monitoring technology is particularly important in lightning arrester applications.
In the aspect of online monitoring of the lightning arrester, researchers at home and abroad develop a large amount of theoretical and practical work. For example, in an online monitoring device for a lightning arrester (CN201910648343), a leakage current detection method is adopted to judge the state of the lightning arrester; an on-line monitoring system for an arrester (CN201711096086) monitors data such as bus voltage on the arrester, total current flowing through the bus voltage, lightning stroke frequency and the like in real time through a collecting unit, a data communication transmission unit and a background server unit; an integrated online arrester monitoring device (CN201511005097) only judges the quality of an arrester by adopting a counter mode, and cannot monitor the state information of the arrester; an on-line monitoring terminal device for an arrester (CN201510858889) adopts a method for monitoring leakage current to diagnose the state performance of the arrester. In the online monitoring technology of the lightning arrester, the state of the lightning arrester is judged by adopting a method for monitoring the leakage current of the low-voltage end of the lightning arrester, the method is more suitable for a gapless zinc oxide lightning arrester, and in addition, the monitoring information of the method does not use the GPS information of a monitoring device, so that the accurate searching of operation and maintenance personnel on a fault tower is not facilitated.
Disclosure of Invention
The invention aims to provide an online monitoring device and method for a line arrester with a series gap, aiming at the defects of the prior art, the online monitoring device and method can carry out full-cycle analysis on the running state of the gap arrester, meanwhile, the monitoring device is internally provided with GPS positioning information, and the efficiency of the fault operation and maintenance of the arrester can be greatly improved.
The invention provides an online monitoring device for a line arrester with a series gap, which is characterized by comprising a current sensor, a front-end host, a data processing center and a near-zone acquisition terminal; the current sensor is arranged at the low-voltage end of the gap lightning arrester and used for collecting lightning current and power frequency current generated after a line is struck by lightning and transmitting the lightning current and the power frequency current to the front-end host; the front-end host machine processes the received current signal to form a standard waveform, and transmits the standard waveform to the data processing center through a network while storing the standard waveform locally; the near-zone acquisition terminal acquires the standard waveform data stored in the front-end host locally in a non-contact data transmission mode and sends the standard waveform data to the data processing center; the data processing center analyzes the received standard waveform data and extracts the characteristic quantities of the standard waveform of the lightning current and the standard waveform of the power frequency current; the data processing center diagnoses the fault degree of the lightning arrester by comparing the two types of waveform duration characteristics and identifies the fault type of the lightning arrester, and alarms the action times, the position information, the fault degree and the fault type of the lightning arrester with faults.
In the technical scheme, the front-end host machine classifies the current signals, de-noizes difference and performs digital filtering processing to form a standard waveform.
In the above technical solution, the information content covered by the standard waveform includes a full current waveform, time information, GPS information, a current amplitude, and a lightning polarity.
In the technical scheme, the data processing center processes the analyzed standard waveform data through wavelet transformation and Fourier transformation, extracts the amplitude, polarity, rising edge, falling edge and time length of the lightning current waveform, and extracts the amplitude, frequency and time length of the power frequency current waveform.
In the technical scheme, the front-end host is provided with the APN card, and data transmission is carried out on the areas with 2G, 3G and 4G signals and the data processing center network through the APN private network.
In the technical scheme, the near-zone acquisition terminal is a handheld terminal, and the stored data in the front-end host computer is read through a 2.4G network within a range of 500 meters away from the online monitoring device with the series gap line arrester.
In the technical scheme, the data processing center diagnoses the fault degree of the lightning arrester by comparing two types of waveform duration characteristics by adopting a fuzzy diagnosis method, and identifies the type of the fault of the lightning arrester by adopting a time domain waveform diagnosis method and a neural network diagnosis method.
The invention provides an online monitoring method for a line arrester with a series gap, which is characterized by comprising the following steps:
the current device collects lightning current and power frequency current generated after a circuit is struck by lightning and transmits the lightning current and the power frequency current to the front-end host;
the front-end host machine processes the received current signal to form a standard waveform, and transmits the standard waveform to the data processing center through a network while storing the standard waveform locally;
the near-zone acquisition terminal acquires the standard waveform data stored in the front-end host locally in a non-contact data transmission mode and sends the standard waveform data to the data processing center;
the data processing center analyzes the received standard waveform data and extracts the characteristic quantities of the standard waveform of the lightning current and the standard waveform of the power frequency current; and diagnosing the fault degree of the lightning arrester and identifying the fault type of the lightning arrester by comparing the two types of waveform time length characteristics, and alarming the action times, the position information, the fault degree and the fault type of the lightning arrester with faults.
Among the above-mentioned technical scheme, through the long characteristic diagnosis arrester's of two kinds of wave forms trouble degree and discern the type of arrester trouble, specifically include:
the data processing center diagnoses the fault degree of the lightning arrester by comparing two types of waveform duration characteristics through a fuzzy diagnosis method, and identifies the type of the fault of the lightning arrester through a time domain waveform diagnosis method and a neural network diagnosis method.
In the above technical scheme, the method specifically comprises the following steps:
s1: the current sensor module collects lightning current and power frequency current signals generated after the circuit is struck by lightning according to the electromagnetic induction principle.
S2: the current sensor transmits the collected lightning current signal and power frequency current signal to the front-end host computer through a wire, the front-end host computer classifies, de-noizes and differentiates and digitally filters the current signal to form a standard waveform, the standard waveform is stored in a local memory of the front-end host computer, and the standard waveform is transmitted to the data processing center through a power private network;
s3: the data processing center analyzes and stores the received current signal data according to the protocol; the data processing center processes the analyzed waveform data through wavelet transformation and Fourier transformation, extracts the amplitude, polarity, rising edge, falling edge and duration characteristic quantities of the lightning current waveform, and extracts the amplitude, frequency and duration characteristic quantities of the power frequency current waveform;
s4: the data processing center adopts a fuzzy diagnosis method, diagnoses the fault degree of the lightning arrester by comparing the time characteristic quantities of the power frequency current waveform and the lightning current waveform, and identifies the fault type of the lightning arrester by a time domain waveform diagnosis method and a neural network diagnosis method;
s5: the data processing center finally gives an alarm for the action times, the position information, the fault degree and the fault type of the lightning arrester with faults;
s6: and the working personnel receives the lightning arrester fault alarm information, rechecks and checks the waveform data, and finally determines the operation state diagnosis result of the lightning arrester.
The invention provides a non-transitory computer read-only medium with an online monitoring method of a series gap line arrester, which comprises the following steps:
instructions stored therein, wherein the instructions, when executed by one or more processors, cause the one or more processors to perform a method comprising:
adjusting the skill range of the packet receiver according to a predefined scheduling strategy;
the front-end host receives lightning current and power frequency current which are generated after a circuit is struck by lightning and collected by a current collector;
the front-end host machine processes the received current signal to form a standard waveform, and transmits the standard waveform to the data processing center through a network while storing the standard waveform locally;
the near-zone acquisition terminal acquires the standard waveform data stored in the front-end host locally in a non-contact data transmission mode and sends the standard waveform data to the data processing center;
the data processing center analyzes the received standard waveform data and extracts the characteristic quantities of the standard waveform of the lightning current and the standard waveform of the power frequency current; and diagnosing the fault degree of the lightning arrester and identifying the fault type of the lightning arrester by comparing the two types of waveform time length characteristics, and alarming the action times, the position information, the fault degree and the fault type of the lightning arrester with faults.
The invention provides an online monitoring method for a line arrester with a series gap, which is characterized in that a current sensor is arranged at the low-voltage end of the gap arrester, so that the power frequency current and traveling wave current waveforms flowing through the arrester can be collected when the line is struck by lightning, a front-end mainframe box is instantaneously activated to locally store waveform data, amplitude data, GPS data, time data and action times, a special power network is adopted to transmit the data to a background server, the state information of the arrester is determined by analyzing the current waveform characteristics, and the arrester with hidden danger is accurately positioned according to the GPS information. The actual running state of the line arrester between the series can be monitored and accurately positioned, and the hidden danger type of the arrester can be identified. The data transmission of the invention adopts two modes of on-site non-contact reading and network transmission, and can be applied to the monitoring of the line arrester in various complex terrain environments, so that the state monitoring of the arrester can be realized in a non-network area. The data processing center analyzes the current waveform data, removes noise, extracts a current characteristic value, diagnoses the fault degree of the lightning arrester according to a related algorithm on one hand, identifies the fault type of the lightning arrester on the other hand, and realizes accurate positioning and timely warning of the fault lightning arrester according to GPS information and an equipment ledger. The invention can effectively monitor the running state of the zinc oxide arrester with the gap, can objectively identify the type of the hidden danger, can accurately position the phase line of the tower where the hidden danger point is located, has simple and convenient principle, is safe and reliable, and has stronger practicability.
Drawings
FIG. 1 is a schematic diagram of the module connection of the present invention;
FIG. 2 is a schematic flow chart of the present invention;
FIG. 3 is a schematic diagram of information acquisition according to the present invention;
FIG. 4 is a diagram illustrating the effect of the present invention;
the method comprises the following steps of 1-tower head, 2-online monitoring of a line arrester with a series gap, 3-current sensor, 4-insulator string and 5-arrester.
Detailed Description
The invention will be further described in detail with reference to the following drawings and specific examples, which are not intended to limit the invention, but are for clear understanding.
As shown in fig. 1, the invention provides an online monitoring device for a line arrester with a series gap, which comprises a current sensor, a front-end host, a data processing center and a near-zone acquisition terminal; the current sensor is arranged at the low-voltage end of the gap lightning arrester and is used for collecting lightning current and power frequency current generated after a line is struck by lightning and transmitting the lightning current and the power frequency current to the front-end host through a power wire; the front-end host machine processes the received current signal to form a standard waveform, and transmits the standard waveform to the data processing center through a network while storing the standard waveform locally; the near-zone acquisition terminal acquires the standard waveform data stored in the front-end host locally in a non-contact data transmission mode and sends the standard waveform data to the data processing center; the data processing center analyzes the received standard waveform data and extracts the characteristic quantities of the standard waveform of the lightning current and the standard waveform of the power frequency current; the data processing center diagnoses the fault degree of the lightning arrester by comparing the two types of waveform duration characteristics and identifies the fault type of the lightning arrester, and alarms the action times, the position information, the fault degree and the fault type of the lightning arrester with faults.
In the technical scheme, the front-end host is provided with the APN card, and data transmission is carried out on the areas with 2G, 3G and 4G signals through the APN private network and the data processing center network to serve as an APN private network transmission mode.
In the technical scheme, the near-area acquisition terminal is a handheld terminal, reads the stored data in the front-end host computer through a 2.4G network within a range of 500 meters away from the online monitoring device with the series gap line arrester, and stores the data in the memory card of the near-area acquisition terminal as a field non-contact data reading mode.
As shown in fig. 2, the present invention has two communication modes, the whole area supports field non-contact data reading, the network coverage area supports an APN private network transmission mode, and the data acquired by the two modes is received by a front data receiver of the data processing center, wherein the APN private network transmission directly inputs a standard waveform into the front data receiver, or a worker takes out a memory card located in a near area acquisition terminal device, accesses the front data receiver, and then enters a data processing server through a safety isolation device.
As shown in fig. 3, the invention provides an online monitoring method for a line arrester with a series gap, which specifically comprises the following steps:
1. the lightning stroke circuit can release energy through closing on the arrester, instantaneous power frequency current and lightning current can appear simultaneously in the arrester in this process, and the current sensor module passes through the arrester and gathers lightning current and power frequency current signal according to the electromagnetic induction principle.
2. The current sensor transmits the collected lightning current signal and the power frequency current signal to the front-end mainframe box through a wire, and the mainframe makes a decision on whether to process, store and transmit a current waveform according to a preset current limit value (1 mA). When the collected current amplitude exceeds 1mA, the front-end mainframe box classifies, de-noizes (differentiates) and processes digital Filtering (FIR) on the current signals to form a standard waveform, the waveform is stored locally on one hand, and is transmitted to a remote data processing center through a power private network on the other hand, and the information content covered by the waveform comprises information such as full current waveform, time information, GPS information, current amplitude, lightning polarity and the like.
3. The data processing center analyzes and stores the received signal data according to the protocol; the data processing center processes the analyzed waveform data through wavelet transformation and Fourier transformation, extracts characteristic quantities such as amplitude, polarity, rising edge, falling edge and duration of a lightning current waveform, and extracts characteristic quantities such as amplitude, frequency and duration of a power frequency current waveform;
4. the data processing center adopts a fuzzy diagnosis method, diagnoses the fault degree of the lightning arrester by comparing the time characteristic quantities of the power frequency current waveform and the lightning current waveform, and identifies the fault type of the lightning arrester by a time domain waveform diagnosis method and a neural network diagnosis method;
5. the data processing center gives an alarm for the action times, the position information, the fault degree and the fault type of the lightning arrester with faults, and the fault lightning arrester is accurately positioned according to the GPS information and the equipment ledger.
6. And after receiving the lightning arrester fault alarm information, the working personnel rechecks and checks the waveform data, and finally determines the operation state diagnosis result of the lightning arrester.
As shown in fig. 4, the online monitoring device 2 with the series gap line arrester is arranged on the tower head 1 and is located right above the insulator string 4.
The invention also provides a non-transitory computer read-only medium with the online monitoring method of the series gap line arrester, which comprises the following steps:
instructions stored therein, wherein the instructions, when executed by one or more processors, cause the one or more processors to perform a method comprising:
adjusting the skill range of the packet receiver according to a predefined scheduling strategy;
the front-end host receives lightning current and power frequency current which are generated after a circuit is struck by lightning and collected by a current collector;
the front-end host machine processes the received current signal to form a standard waveform, and transmits the standard waveform to the data processing center through a network while storing the standard waveform locally;
the near-zone acquisition terminal acquires the standard waveform data stored in the front-end host locally in a non-contact data transmission mode and sends the standard waveform data to the data processing center;
the data processing center analyzes the received standard waveform data and extracts the characteristic quantities of the standard waveform of the lightning current and the standard waveform of the power frequency current; and diagnosing the fault degree of the arrester and identifying the fault type of the arrester by comparing the two types of waveform time length characteristics, and alarming the action times, the position information, the fault degree and the fault type of the arrester with faults.
Details not described in this specification are within the skill of the art that are well known to those skilled in the art.
Claims (8)
1. An online monitoring device for a line arrester with a series gap is characterized by comprising a current sensor, a front-end host, a data processing center and a near-zone acquisition terminal; the current sensor is arranged at the low-voltage end of the gap lightning arrester and used for collecting lightning current and power frequency current generated after a line is struck by lightning and transmitting the lightning current and the power frequency current to the front-end host; the front-end host machine processes the received current signal to form a standard waveform, and transmits the standard waveform to the data processing center through a network while storing the standard waveform locally; the near-zone acquisition terminal acquires the standard waveform data stored in the front-end host locally in a non-contact data transmission mode and sends the standard waveform data to the data processing center; the data processing center analyzes the received standard waveform data and extracts the characteristic quantities of the standard waveform of the lightning current and the standard waveform of the power frequency current; the data processing center diagnoses the fault degree of the lightning arrester by comparing two types of waveform duration characteristics by adopting a fuzzy diagnosis method, identifies the fault type of the lightning arrester by adopting a time domain waveform diagnosis method and a neural network diagnosis method, and alarms the action times, the position information, the fault degree and the fault type of the lightning arrester with faults.
2. The on-line monitoring device for the line arrester with the series gap as claimed in claim 1, wherein the front-end host machine classifies current signals, de-noizes difference, and digitally filters to form a standard waveform.
3. The on-line monitoring device for the arrester of claim 2, wherein the standard waveform covers information content including full current waveform, time information, GPS information, current amplitude, and lightning polarity.
4. The on-line monitoring device for the arrester with series gap line of claim 3, wherein the data processing center processes the analyzed standard waveform data through wavelet transformation and Fourier transformation, extracts the amplitude, polarity, rising edge, falling edge and duration of the lightning current waveform, and extracts the amplitude, frequency and duration of the power frequency current waveform.
5. The on-line monitoring device with the series gap line arrester of claim 1, characterized in that the front-end host is provided with an APN card, and data transmission is performed with a data processing center network through an APN private network in an area with 2G or 3G or 4G signals.
6. The on-line monitoring device with the series gap line arrester as claimed in claim 1, wherein the near-field acquisition terminal is a handheld terminal, and the stored data in the front-end host computer is read through a 2.4G network within a distance of 500 m from the on-line monitoring device with the series gap line arrester.
7. An online monitoring method for a line arrester with a series gap is characterized by comprising the following steps:
the current device collects lightning current and power frequency current generated after a circuit is struck by lightning and transmits the lightning current and the power frequency current to the front-end host;
the front-end host machine processes the received current signal to form a standard waveform, and transmits the standard waveform to the data processing center through a network while storing the standard waveform locally;
the near-zone acquisition terminal acquires the standard waveform data stored in the front-end host locally in a non-contact data transmission mode and sends the standard waveform data to the data processing center;
the data processing center analyzes the received standard waveform data and extracts the characteristic quantities of the standard waveform of the lightning current and the standard waveform of the power frequency current; the data processing center diagnoses the fault degree of the lightning arrester by comparing two types of waveform duration characteristics by adopting a fuzzy diagnosis method, identifies the fault type of the lightning arrester by adopting a time domain waveform diagnosis method and a neural network diagnosis method, and alarms the action times, the position information, the fault degree and the fault type of the lightning arrester with faults.
8. A non-transitory computer read-only medium with a series gap line arrester online monitoring method comprises the following steps:
instructions stored therein, wherein the instructions, when executed by one or more processors, cause the one or more processors to perform a method comprising:
adjusting the skill range of the packet receiver according to a predefined scheduling strategy;
the front-end host receives lightning current and power frequency current which are generated after a circuit is struck by lightning and collected by a current collector;
the front-end host machine processes the received current signal to form a standard waveform, and transmits the standard waveform to the data processing center through a network while storing the standard waveform locally;
the near-zone acquisition terminal acquires the standard waveform data stored in the front-end host locally in a non-contact data transmission mode and sends the standard waveform data to the data processing center;
the data processing center analyzes the received standard waveform data and extracts the characteristic quantities of the standard waveform of the lightning current and the standard waveform of the power frequency current; the data processing center diagnoses the fault degree of the lightning arrester by comparing two types of waveform duration characteristics by adopting a fuzzy diagnosis method, identifies the fault type of the lightning arrester by adopting a time domain waveform diagnosis method and a neural network diagnosis method, and alarms the action times, the position information, the fault degree and the fault type of the lightning arrester with faults.
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