WO2019103251A1 - Système et procédé de détection automatique d'ondes ultrasonores d'une installation de distribution d'énergie - Google Patents

Système et procédé de détection automatique d'ondes ultrasonores d'une installation de distribution d'énergie Download PDF

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Publication number
WO2019103251A1
WO2019103251A1 PCT/KR2018/004425 KR2018004425W WO2019103251A1 WO 2019103251 A1 WO2019103251 A1 WO 2019103251A1 KR 2018004425 W KR2018004425 W KR 2018004425W WO 2019103251 A1 WO2019103251 A1 WO 2019103251A1
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WO
WIPO (PCT)
Prior art keywords
ultrasonic
pulse
data
time difference
diagnosis
Prior art date
Application number
PCT/KR2018/004425
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English (en)
Korean (ko)
Inventor
박철호
김정채
남우성
박상서
오상배
황용주
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한국전력공사
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Application filed by 한국전력공사 filed Critical 한국전력공사
Publication of WO2019103251A1 publication Critical patent/WO2019103251A1/fr

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
    • G01R31/1209—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing using acoustic measurements
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/08—Locating faults in cables, transmission lines, or networks
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/08—Locating faults in cables, transmission lines, or networks
    • G01R31/088—Aspects of digital computing
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
    • G01R31/14—Circuits therefor, e.g. for generating test voltages, sensing circuits

Definitions

  • the present invention relates to a system and method for detecting ultrasound waves in a power distribution system, and more particularly, to a method and apparatus for detecting ultrasound waves in a power plant by ultrasonically diagnosing power equipment, And more particularly, to a system and method for automatic detection of ultrasound waves.
  • the ultrasonic diagnostic apparatus shown in FIG. 1 is an apparatus for detecting an abnormality of the electric power facility by detecting the ultrasonic wave generated by the discharge, and in particular, to diagnose the fault phenomenon such as the bushing, It is an effective scientific diagnosis equipment.
  • the diagnosis method is a method of continuously listening to the voice output of the diagnostic equipment and judging whether or not it is defective, both at home and abroad.
  • the diagnosis reliability is lowered due to the occurrence of a case, and the progress of the related technology is limited due to the occurrence of a tinnitus phenomenon and the avoidance of diagnosis due to the continuous listening of white noise for a long time.
  • the present invention has been conceived to solve the problems as described above, and it is an object of the present invention to provide an ultrasonic diagnostic apparatus and a method of controlling the same,
  • the present invention provides a system and method for automatic detection of a distribution facility ultrasonic wave, which determines whether or not there is a fault in a power facility, and automatically stores GPS location information and ultrasonic waveform data of defective locations.
  • an ultrasonic diagnostic apparatus comprising: an ultrasonic detector for detecting an ultrasonic wave to generate a sound output; An automatic analysis algorithm module is installed in order to analyze the sound waveform made up of WAV file by receiving the audio output as an AUX terminal input, and automatically detects the presence or absence of ultrasonic discharge caused by defective equipment during diagnosis and displays an alarm to the diagnosis person A communication terminal; And a DB for automatically storing the location information and the failure judgment ultrasonic extraction sound data received from the connected GPS module when the fault is determined as the alarm, the communication terminal loads the WAV file, extracts the predetermined period data, In the De-noised data, the time difference? T of the partial discharge ultrasound pulse is extracted and the?
  • T cumulative histogram is analyzed by the wavelet waveform transformation.
  • the time difference? T of the analyzed pulse is plotted on the ordinate axis and the pulse interval is plotted on the abscissa axis. It is judged whether or not the electric power facilities are bad by cumulatively representing the graph and accumulating and analyzing the frequency of occurrence intervals.
  • the present invention includes a first step of analyzing only a pulse corresponding to a partial discharge high frequency sound; A second step of extracting a waveform having a predetermined time interval for analyzing the waveform of the pulse and displaying the waveform with a data time graph; A third step of removing an existing background white noise by applying a wavelet de-noising technique to the extracted two-period data; A fourth step of extracting a time difference?
  • the ⁇ t accumulated histogram analysis in the above step 5 is based on a predetermined time and performs a bad alarm process when the sum of the number of pulses having a certain pulse time difference exceeds 60% based on the sum of the counts of the analyzed pulses.
  • the final failure judgment is treated as a final alarm when more than 60% of bad alarms occur more than 5 times in a row.
  • the continuous alarm criterion can be adjusted by the user.
  • a wide - range diagnosis stage that performs automatic ultrasound diagnosis for the processing and distribution facilities while driving at a speed of less than a constant speed to the vehicle and displays the pole where the fault location is located through normal / abnormal judgment; And a precise diagnosis step of analyzing the generated signal when the 360-degree diagnosis is performed on the electric pole after getting off the vehicle, and displaying on the screen what kind of equipment is defective.
  • the present invention as described above can greatly improve the diagnostic reliability and efficiency by blocking the human error due to manual diagnosis and empirical judgment in the conventional ultrasonic diagnosis of electric power facilities and enabling systematic diagnosis using the detection algorithm .
  • the reliability of electric power supply can be improved by prevention of power outage due to facility failure by making it possible to clearly and efficiently identify and check whether or not the electric power facility operating in a high voltage environment is bad.
  • the present invention can solve the inconvenience of continuous audible output signal, which is indispensable in the ultrasound diagnosis, and dramatically improve the diagnostic environment through the visual alarm expression function in the case of abnormality in the power equipment, thereby contributing to the development of the related field technology.
  • the present invention can realize a diagnostic environment that can be used universally without expert knowledge by a simple operation through the present invention, in which a power equipment ultrasound diagnostic environment dependent on the experience and know-how of the existing diagnoser is implemented.
  • the present invention can be easily connected to an ultrasonic diagnostic apparatus that is currently in use in the field through an AUX terminal without purchasing expensive equipment, so that an automatic detection algorithm function, an abnormal signal automatic storage function, It is possible to drastically reduce the cost of purchasing diagnostic equipment.
  • FIG. 1 is a configuration of an ultrasonic diagnostic apparatus according to an embodiment of the present invention.
  • FIG. 2 is a diagram showing an anomaly due to deterioration of a power facility according to an embodiment of the present invention.
  • FIGS. 3 and 4 illustrate conventional ultrasound diagnosis of domestic and overseas power facilities.
  • Figure 5 compares the conventional method with the improved method.
  • FIG. 6 is a block diagram of a power distribution system ultrasound automatic detection system according to an embodiment of the present invention.
  • FIG. 7 is a diagram of an automatic detection algorithm of an ultrasonic wave according to an embodiment of the present invention.
  • FIG. 8 is a main function diagram of the automatic ultrasonic detection algorithm according to an embodiment of the present invention.
  • Figure 9 is a wide-area and fine diagnostic procedure in accordance with an embodiment of the present invention.
  • a power distribution system ultrasonic wave automatic detection system 500 includes an AUX (auxiliary) terminal of a communication terminal 520 equipped with an automatic detection algorithm for sound output of a conventional ultrasonic diagnostic apparatus 130, ) Input, the diagnosis algorithm module 540 of the communication terminal 520, not the method of directly hearing and judging the failure of the electric power facility by the processing distribution line such as the agitator, the apparatus, the connection point of the electric power facility, (Global Positioning System) position information and ultrasonic waveform (Wav) data in the DB 550 automatically.
  • the communication terminal 520 may be a personal computer (PC) such as a tablet or a notebook computer.
  • the conventional ultrasonic detector is configured to analyze the sound waveform by receiving the ultrasonic detector sound output from the AUX terminal of the communication terminal 2, and the automatic analysis algorithm module 540 is installed in the communication terminal to detect ultrasonic waves Automatically judges the occurrence or abnormality and displays an alarm to the diagnosis person.
  • the position information received from the connected GPS module 530 and the failure determination ultrasonic extraction sound data are automatically stored in the DB of the communication terminal 520 when the failure is determined.
  • the high frequency sound (or ultrasonic sound) of the faulty power facility to be analyzed in the present invention generates a pulse at a predetermined time interval different from a general environment noise high frequency sound.
  • an ultrasonic pulse analysis signal analysis algorithm is implemented.
  • module means a unit for processing at least one function or operation, and may be implemented by hardware, software, or a combination of hardware and software.
  • DSP digital signal processor
  • PLD programmable logic device
  • FPGA field programmable gate array
  • processor a controller
  • microprocessor and the like, which are designed to perform the above- , Other electronic units, or a combination thereof.
  • software implementation it may be implemented as a module that performs the above-described functions.
  • the software may be stored in a memory unit and executed by a processor.
  • the memory unit or processor may employ various means well known to those skilled in the art.
  • the analysis algorithm is implemented through a total of five steps.
  • step S710 the WAV file 810 is loaded in step S710.
  • Step S720 In order to analyze the pulse time difference, it is necessary to analyze only the pulse corresponding to the partial discharge high frequency sound.
  • the output of the ultrasonic diagnostic equipment is received through the AUX terminal, and the ultrasonic original waveform is displayed as Load and Original Data Time Graph (Step S720).
  • the 2-period data 820 is extracted in step S711.
  • a waveform having a time interval of 2 cycles for waveform analysis is extracted and prepared for use as a two-period data time graph display and wavelet de-noising data (step S711-1).
  • wavelet de-noising is performed in the next step S713.
  • the wavelet de-noising technique is applied to the extracted 2-period pulse data to remove the background noise. (Denoising) Data Time Graph (step S713-1).
  • step S713 it is confirmed whether the extracted two-period data is the last data (step S715). If it is not the last data in step S715, steps S711 to S715 are performed, and if it is the last data, the two-period data extraction ends (step S717).
  • step S730 data analysis is performed after De-noising. That is, the time difference? T of the partial discharge ultrasound pulse is extracted from the data subjected to the wavelet de-noising and the extracted pulse data Graph (840) is displayed.
  • step S740 the time difference? T of the partial discharge ultrasonic pulses is accumulated, and? T cumulative histogram analysis is performed (step S740).
  • the time difference ⁇ t of the pulse analyzed above is cumulatively expressed in the graph 850 indicating the number of occurrences of the vertical axis and the pulse interval of the horizontal axis and an algorithm for analyzing the cumulative frequency of occurrence intervals is used to determine whether or not the power equipment is defective Steps S750, S760).
  • the basic raw data is analyzed based on the real-time ultrasonic signal for 2 seconds, and based on the total number of pulses analyzed, the number of pulses in which the pulse time difference of 6 to 10 ms, 15 to 19 ms, 21 to 25 ms, If the sum exceeds 60%, a defective alarm process is performed (step S770).
  • the final failure judgment is treated as a final alarm when more than 60% of bad alarms occur more than 5 times in a row.
  • the continuous alarm criterion can be adjusted by the user.
  • the above time difference is derived from a lot of field data and field verification.
  • the wide-area diagnosis is a diagnostic method for performing automatic ultrasound diagnosis on a processing / distribution facility while moving at a speed of less than 30 km to a vehicle, and displaying a pole where a faulty location is located through normal / abnormal judgment (steps S910, S920, S930, S940) .
  • the detailed diagnosis refers to a method of displaying a display on a screen of which equipment is defective by analyzing an occurrence signal when a 360-degree diagnosis is performed on the corresponding poles after getting off the vehicle (steps S950, S960, S970, and S980).
  • the present invention distinguishes from various kinds of noise by an automatic detection algorithm when diagnosing a vehicle (wide-area diagnosis) through two-step automatic detection, and systematically displays an alarm to a diagnostic
  • an automatic detection algorithm when diagnosing a vehicle (wide-area diagnosis) through two-step automatic detection, and systematically displays an alarm to a diagnostic
  • the proposed invention has a better effect than the previous workforce hit ratio, as a result of comparing the human hit ratio with the hit ratio of the present invention.
  • the steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied in the form of a program form which may be performed via a variety of computing means, and recorded in a computer-readable medium.
  • the computer-readable medium may include a program (command) code, a data file, a data structure, and the like, alone or in combination.
  • the program (command) codes recorded on the medium may be those specially designed and constructed for the present invention or may be those known to those skilled in the art of computer software.
  • Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape, optical media such as CD-ROMs, DVDs, Blu-ray and the like, and ROMs, RAM), flash memory, and the like, which are specifically configured to store and execute program (instruction) codes.
  • examples of program (command) codes include machine language codes such as those produced by a compiler, as well as high-level language codes that can be executed by a computer using an interpreter or the like.
  • the hardware devices described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Theoretical Computer Science (AREA)
  • Acoustics & Sound (AREA)
  • Testing Relating To Insulation (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)

Abstract

L'invention concerne un système et un procédé de détection automatique d'ondes ultrasonores d'une installation de distribution d'énergie. Le système de détection automatique d'ondes ultrasonores d'une installation de distribution d'énergie comprend : un détecteur d'ondes ultrasonores qui détecte des ondes ultrasonores et génère une sortie vocale ; un terminal de communication qui détermine si une décharge ultrasonore due à un équipement défectueux s'est produite et détermine si une anomalie est présente ; et une base de données qui, lorsque la présence d'une défaillance est déterminée, mémorise automatiquement des informations de localisation reçues en provenance d'un module GPS connecté, et des données sonores d'extraction ultrasonore pour la détermination de défaillance.
PCT/KR2018/004425 2017-11-22 2018-04-17 Système et procédé de détection automatique d'ondes ultrasonores d'une installation de distribution d'énergie WO2019103251A1 (fr)

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KR1020170156203A KR101975443B1 (ko) 2017-11-22 2017-11-22 배전설비 초음파 자동검출 시스템 및 방법
KR10-2017-0156203 2017-11-22

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CN110160634A (zh) * 2019-06-06 2019-08-23 内蒙古电力（集团）有限责任公司内蒙古超高压供电局 电抗器异响测量装置及其方法
CN110531234A (zh) * 2019-09-26 2019-12-03 武汉三相电力科技有限公司 一种输电线路放电脉冲的识别提取方法
CN114965694A (zh) * 2022-05-25 2022-08-30 国家电网有限公司 基于超声波信号的瓷绝缘子缺陷检测方法

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CN114113951B (zh) * 2021-12-16 2023-09-05 国网山东省电力公司烟台供电公司 一种高压开关柜绝缘缺陷超声应力检测系统与方法
CN114280435B (zh) * 2021-12-24 2023-05-05 重庆科技学院 一种电力系统开关柜的局部放电管理系统

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110160634A (zh) * 2019-06-06 2019-08-23 内蒙古电力（集团）有限责任公司内蒙古超高压供电局 电抗器异响测量装置及其方法
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CN114965694A (zh) * 2022-05-25 2022-08-30 国家电网有限公司 基于超声波信号的瓷绝缘子缺陷检测方法

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