WO2019103251A1 - System and method for automatically detecting ultrasonic waves from power distribution facility - Google Patents

Abstract

Provided are a system and method for automatically detecting ultrasonic waves from a power distribution facility. The system for automatically detecting ultrasonic waves from a power distribution facility comprises: an ultrasonic wave detector which detects ultrasonic waves and generates a voice output; a communication terminal which determines whether an ultrasonic discharge due to faulty equipment has occurred and determines whether an abnormality is present; and a DB which, when a fault is determined, automatically stores location information received from a connected GPS module, and ultrasonic extraction sound data for the fault determination.

Description

Ultrasonic automatic detection system and method for distribution equipment

More particularly, 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.

Generally, electric power facilities are used in high voltage environment and various deterioration phenomena (environmental, mechanical, thermal, electrical deterioration, etc.) appear as electrical anomalies. Except for some cracks or corrosion of the metal, deterioration of the equipment leads to various indications such as discharge and leakage current, as shown in Fig.

Among these, 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.

Currently, domestic and other overseas power companies utilize such ultrasonic diagnostic equipment to pre-detect and measure the deterioration of electric power facilities to prevent equipment failure, thus realizing stable electric power supply.

3 and 4, 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.

In order to prevent power unit malfunctions, as shown in Table 1, even though a lot of manpower and budget are invested every year to perform ultrasonic diagnosis of millions of extra-high voltage electric poles by vehicles, the malfunction due to the deterioration of equipment and the occupancy rate are similar, The inconvenience and low reliability associated with diagnosis is a time when many improvements are needed.

division	Total failure (number)			Equipment failure (number of cases)			Diagnostic Cost (KRW in billions)
	Pause	Moment	system	Pause	Moment	system	Direct management	service	system
year 2014	606	3,558	4,164	198	410	606	44	17	61
2015	544	3,347	3,891	189	345	544	26	41	67
2016	520	3,518	4,038	173	367	520	20	39	59
Average	557	3,474	4,031	187	374	557	30	32	62

SUMMARY OF THE INVENTION 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.

According to an aspect of the present invention, there is provided 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.

In order to analyze a pulse time difference by loading a WAV file, 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? T of the partial discharge ultrasonic pulse from the data through the wavelet de-noising; And a fifth step of cumulatively representing the time difference DELTA t of the pulse on the graph indicating the number of occurrences and the abscissa indicating the pulse interval on the vertical axis and executing an algorithm for accumulating and analyzing the frequency of occurrence intervals to determine whether the power facility is defective .

The Δt 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 .

Further, it is expected that 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.

In addition, 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.

In addition, 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.

In addition, 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.

1 is a configuration of an ultrasonic diagnostic apparatus according to an embodiment of the present invention.

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.

6 is a block diagram of a power distribution system ultrasound automatic detection system according to an embodiment of the present invention.

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.

For a better understanding of the present invention, a preferred embodiment of the present invention will be described with reference to the accompanying drawings. The embodiments of the present invention may be modified into various forms, and the scope of the present invention should not be construed as being limited to the embodiments described in detail below. The present embodiments are provided to enable those skilled in the art to more fully understand the present invention. Therefore, the shapes and the like of the elements in the drawings can be exaggeratedly expressed to emphasize a clearer description. It should be noted that in the drawings, the same members are denoted by the same reference numerals. Further, detailed descriptions of well-known functions and configurations that may be unnecessarily obscured by the gist of the present invention are omitted.

5 and 6, a power distribution system ultrasonic wave automatic detection system 500 according to the present invention 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.

Specifically, 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. By analyzing the characteristics of generating pulses with such a constant time interval, an ultrasonic pulse analysis signal analysis algorithm according to the present invention is implemented.

Here, the term " module " shown 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), a programmable logic device (PLD), a field programmable gate array (FPGA), a processor, a controller, a microprocessor, and the like, which are designed to perform the above- , Other electronic units, or a combination thereof. In 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.

As shown in FIGS. 7 and 8, the analysis algorithm is implemented through a total of five steps.

First, the WAV file 810 is loaded in step S710.

First, 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.

That is, 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). Here, 2 Cycle = 1/60 [s] * 2 = 33.2 [ms].

And then 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).

After 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).

Then, in 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.

Subsequently, the time difference? T of the partial discharge ultrasonic pulses is accumulated, and? T cumulative histogram analysis is performed (step S740).

The time difference Δt 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.

Referring again to FIG. 9 and Table 2, the implementation and procedure of the automatic detection algorithm function according to the present invention are roughly divided into wide-area diagnosis and fine diagnosis.

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).

division	Wide-area diagnostics automatic detection	Precision diagnosis auto detection
Measuring distance	About 20 ~ 30m (when moving the vehicle)	Within 10m (when walking)
Detection time	Within 2 ~ 3 seconds	10 seconds or more
Analysis item	Normal / abnormal signal generation indication	Normal / abnormal signal occurrence indication Indication of expected bad position

As shown in FIG. 9 and Table 2, 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 In case of precise diagnosis after getting off the vehicle, unlike the faulty facility detection that depends on the experience of the existing diagnoser and the sound size, by displaying the expected failure facility based on the automatic detection algorithm on the screen, It is precisely detectable.

As shown in Table 3, 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.

division	Yeongdeungpo (4/7)	Ansan 1st (6/16)	Ansan second round (7/20)
Human force detection (gun) [A]	13	14	16
Detection of the proposed invention (case) [B]	5	5	2
Bad check (thing) [C]	8	5	2
Manpower Hits (%) [C / A]	61.5	35.7	12.5
The proposed invention hit ratio (%) [C / B]	62.5%	100%	100%

Furthermore, 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.

Here, 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.

Claims (7)

1. An ultrasonic detector for detecting an ultrasonic wave to generate a sound output;

   A communication terminal for judging the presence or absence of an ultrasonic wave generated by a defective material and an abnormality; And

   And a database (DB) for automatically storing the position information received from the connected GPS (Global Positioning System) module and the faulty determination ultrasound echo sound data at the time of failure determination.
2. The method according to claim 1,

   Wherein the communication terminal includes an automatic analysis algorithm module for analyzing a sound waveform formed of a WAV file by receiving the audio output as an auxiliary terminal input.
3. 3. The method of claim 2,

   Wherein the communication terminal accumulates the time difference DELTA t of pulses in a graph indicating the number of occurrences of the vertical axis and the pulse interval of the horizontal axis and accumulates the frequency of occurrence intervals to determine whether or not the power equipment is defective. .
4. The method of claim 3,

   The communication terminal loads the WAV file, extracts periodic data, performs continuous wavelet waveform transformation, extracts a time difference? T of partial discharge ultrasonic pulses from the de-noised data, and analyzes the? T accumulated histogram Ultrasonic automatic detection system for power distribution equipment.
5. In order to analyze the pulse time difference by loading the WAV file, only the pulse corresponding to the partial discharge high frequency sound is analyzed;

   A preparation step of extracting a continuous waveform having a predetermined time interval for analyzing the waveform of the pulse and using the waveform as a two-period data time graph display and wavelet de-noising data;

   Applying the wavelet de-noising analysis to the extracted two-period data to extract the time difference? T of the partial discharge ultrasound pulse after removing the background noise;

   Extracting a time difference? T of the partial discharge ultrasonic pulse from the data through the wavelet de-noising; And

   The cumulative expressions of cumulative expressed Htograms are obtained by cumulatively representing the time difference .DELTA.t of the analyzed pulses on the graph indicating the number of occurrences of the vertical axis and the pulse interval of the horizontal axis and accumulating and analyzing the frequency of occurrence intervals. And an analysis step.
6. 6. The method of claim 5,

   The histogram analysis represented by?

   The basic raw data is analyzed based on a predetermined time, and when the sum of the number of pulses having a certain pulse time difference exceeds 60% based on the sum of the number of pulses analyzed, a bad alarm process is performed. Way.
7. The method according to claim 6,

   A wide-area diagnostic step that performs automatic ultrasonic diagnosis on the processing and distribution facilities while moving at a speed less than a constant speed to the vehicle and displays a pole where the defective part is located through normal / abnormal judgment; And

   And a precise diagnosis step of analyzing an occurrence signal when the 360-degree diagnosis is performed on the electric pole after getting off the vehicle and displaying a display on the screen of which equipment is defective.

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