KR102251703B1 - Simulation system for diagnosing cables and Method for controlling the same - Google Patents

Abstract

Provides a cable diagnosis simulator that performs virtual diagnosis procedures. The cable diagnosis simulator includes a management server that receives images, processes them as defect signals, and stores them, first to second terminals that generate simulated data using user input information, and the management server and first to the first to second terminals through a communication network. And a simulator connected to the second terminal and performing a cable diagnosis simulation using the simulated data and the stored fault signal.

Description

Simulation system for diagnosing cables and Method for controlling the same}

The present invention relates to a cable diagnosis simulation technology, and more particularly, to a cable diagnosis simulation system for performing a virtual diagnosis procedure and a control method thereof.

In general, the VLF (V ery L ow F requency) diagnostic technique is used to diagnose the cable. In the case of this VLF diagnosis technology, leakage current measurement and partial discharge signals are extracted by applying a low-frequency high voltage of 0.01 to 1 Hz to an underground distribution cable in an off-line state. Therefore, the obtained measured value and waveform are analyzed to determine the degree of deterioration of the insulator.

VLF diagnosis is used most effectively for underground cable diagnosis due to its high extraction reliability, and is the most widely used worldwide among underground distribution cable diagnosis methods.

For this VLF diagnosis, a vehicle capable of VLF withstand voltage test, TD (Tipping Discharge), partial discharge (PD) diagnosis and fault detection, VLF equipment, fault locator, etc. must be configured.

In addition, an error may occur between the position of the end point of the cable and the position of the actual end point. This occurs when the diagnostic practitioner lacks experience in VLF diagnostics. In addition, it is possible to replace the sound cable due to an error in the location of the PD occurrence.

In addition, it may be determined that the ability to interpret the cable PD signal (waveform) is poor or that a line failure has occurred due to the unremoved cable PD. To reduce these points to education, it must be done in the actual field.

However, in the case of actual sites, since there are many cables without defects, diagnosis education itself is impossible. In addition, if an artificial VLF high voltage is applied for the purpose of diagnostic education, it may cause a breakdown.

In addition, there is a problem in that it is difficult to physically implement various types of defect signals occurring in the actual field. In addition, there is a problem in that analysis and learning are performed only on fragmentary signals generated from physical defects installed in advance. In addition, there is a problem in that it is difficult to extract/analyze a defect signal in a form different from the waveform acquired during the education process. In addition, there is a disadvantage in that it is not possible to extract various defect signals that occur depending on the installation conditions and environment of the cable.

1. Korean Patent Registration No. 10-1523502 (Registration Date: May 21, 2015) 2. Korean Patent Registration No. 10-1367891 (Registration Date: 2014.02.20)

The present invention has been proposed in order to solve the problems of the above background technology, and an object thereof is to provide a cable diagnosis simulation system for performing a virtual diagnosis procedure and a control method thereof.

In addition, another object of the present invention is to provide a cable diagnosis simulation system and a control method thereof that enable systematic diagnosis and learning for various types of fault signals.

The present invention provides a cable diagnostic simulator that performs a virtual diagnostic procedure in order to achieve the above-presented object.

The cable diagnostic simulator,

A management server that receives images, processes them as defect signals, and stores them;

First to second terminals for generating simulated data using user input information; And

And a simulator which is connected to the management server and the first to second terminals through a communication network and performs a cable diagnosis simulation using the simulated data and the stored fault signal.

At this time, the images are characterized in that it is converted into a digital numeric form.

In addition, the digital numeric form is characterized by having classification type information and defect signal type information.

In addition, the classification type information includes cable length and environment classification according to the cause of the defect, classification according to the defect location according to the location of occurrence, classification according to the cause of the defect according to the installation state, and classification according to the size of the defect according to the size of the defect. do.

In addition, the management server is characterized by configuring a defect signal library according to the classification type information by using the defect signal type information.

In addition, the defect signal library includes a defect signal generated in a single length, a defect signal generated in a long length, a defect signal in a place with low noise, and a defect signal in a place with a lot of noise, depending on the cable length and environment. According to the classification by classification, it includes a straight connector defect signal, an end connector defect signal, an elbow connector defect signal, a defect signal in the cable span, a defect near the diagnosis point, a defect near the end point, and according to the classification by the cause of the defect, the deterioration point defect signal, aging It includes a defect signal at a deterioration point, a void defect signal, a defect signal at a manufacturing defect point, a defect signal at a construction defect point, and includes a defect signal generated at a low voltage and a defect signal generated at a high voltage according to defect size classification.

In addition, the cable diagnosis simulation is characterized in that a noise signal set according to the simulated data is added to the fault signal to generate a final fault signal.

In addition, the noise signal is characterized in that it is set in advance at random.

In addition, the cable diagnosis simulation is characterized in that the simulation of the VLF (V ery L ow F requency) diagnosis.

In addition, the VLF diagnosis may be any one of a withstand voltage test, a tipping discharge (TD) diagnosis, and a partial discharge (PD) diagnosis.

In addition, the withstand voltage test is characterized in that the insulation state of the entire cable is measured, or a voltage several times the phase voltage is applied to the cable for several tens of minutes to check whether insulation breakdown occurs.

In addition, the TD diagnosis is characterized by measuring the insulation state of the entire cable, or by sequentially applying a phase voltage of 0.5 times, 1.0 times, and 1.5 times to the cable to measure 8 leakage currents for 8 cycles for each voltage. do.

In addition, the PD diagnosis is performed by extracting local defects (PD) of the corresponding cable or sequentially applying phase voltages of 1.0 times, 1.25 times, 1.5 times, and 1.75 times to the cable to determine whether partial discharge has occurred, and the amount of discharge generated. , And the occurrence location is determined.

On the other hand, another embodiment of the present invention includes the steps of: (a) receiving images by a management server, processing them as defect signals, and storing them; (b) generating, by the first to second terminals, simulated data using the user's input information; And (c)) performing, by a simulator connected to the management server and the first to second terminals through a communication network, a cable diagnosis simulation using the simulated data and stored fault signals; Provides a simulation method.

On the other hand, yet another embodiment of the present invention provides a computer-readable storage medium including program code for executing the cable diagnosis simulation method described above.

According to the present invention, it is possible to perform diagnosis learning without limitation of time and place through virtual diagnosis.

In addition, as another effect of the present invention, it is possible to provide safe education because oblique work due to diagnosis is unnecessary.

In addition, as another effect of the present invention, it is possible to diagnose and learn about all kinds of defect signals that can be generated by utilizing them as defect signals that have actually occurred in the past.

In addition, another effect of the present invention is that it is possible to share the defect signal extracted during diagnosis afterwards, thereby improving the capabilities of the diagnoser.

In addition, another effect of the present invention is that it can be applied not only to the underground field but also to the diagnosis of the processing field.

1 is a waveform diagram of a typical simulated defect type.
2 is a waveform diagram of an actual field defect form according to a general connection material failure.
3 is a waveform diagram of an actual field defect form according to a general termination failure.
4 is a waveform diagram of an actual field defect form according to a general cable failure.
5 is a waveform diagram showing a state where a PD is not removed before noise removal in general.
6 is a waveform diagram showing a state of PD extraction after general noise removal.
7 is a block diagram of a cable diagnosis simulation system according to an embodiment of the present invention.
8 is a block diagram showing the configuration of the simulator shown in FIG. 7.
9 is a flowchart illustrating a process of configuring a defect signal library according to an embodiment of the present invention.
10 is a flowchart showing a diagnosis process according to an embodiment of the present invention.
11 is a conceptual diagram showing the configuration of a library according to an embodiment of the present invention.
12 is a conceptual diagram showing the concept of extracting a defect signal according to an embodiment of the present invention.

Since the present invention can make various changes and have various embodiments, specific embodiments are illustrated in the drawings and will be described in detail in the detailed description. However, this is not intended to limit the present invention to a specific embodiment, and it should be understood to include all changes, equivalents, and substitutes included in the spirit and scope of the present invention.

In describing each drawing, similar reference numerals are used for similar elements. Terms such as first and second may be used to describe various elements, but the elements should not be limited by the terms. The above terms are used only for the purpose of distinguishing one component from another component.

For example, without departing from the scope of the present invention, a first element may be referred to as a second element, and similarly, a second element may be referred to as a first element. The term “and/or” includes a combination of a plurality of related stated items or any of a plurality of related stated items.

Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs.

Terms such as those defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning of the related technology, and should not be interpreted as an ideal or excessively formal meaning unless explicitly defined in the present application. Shouldn't.

Hereinafter, a cable diagnosis simulation system and a control method thereof according to an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

1 is a waveform diagram of a typical simulated defect type. Referring to FIG. 1, a waveform diagram of a general simulated defect type can be expressed as a simple type of clear defect signal image. However, the form of defects in the actual field may take various forms. This is because the shape of the defect signal generated in the cable varies greatly depending on the cause of the defect, noise, line length, and the like.

2 is a waveform diagram of an actual field defect form according to a general connection material failure, FIG. 3 is a waveform diagram of an actual field defect form according to a general termination failure, and FIG. 4 is a waveform diagram of an actual field defect form according to a general cable failure. .

In addition, FIG. 5 is a waveform diagram showing a state in which PD is not extracted before noise removal, and FIG. 6 is a waveform diagram illustrating a state in which PD is removed after removal of a typical onise.

Therefore, it is not possible to analyze and/or learn the waveforms detected in FIGS. 2 to 6 only with the simple waveform diagram shown in FIG. 1. Because, it is impossible to physically implement various types of defect signals occurring in the actual field. Therefore, it is difficult for the diagnoser to extract/analyze the defect signal in a form different from the waveform acquired during education. It is not possible to extract various fault signals that occur depending on the installation conditions and/or environment of the cable, and in general, it is possible to extract the fault points of the cable only if there is a diagnostic know-how for various types of signals. Accordingly, in an embodiment of the present invention, signals of various types are collected in advance and digitally quantified, and the signals are configured as a library.

7 is a block diagram of a cable diagnosis simulation system 700 according to an embodiment of the present invention. Referring to FIG. 7, the cable diagnosis simulation system 700 includes a management server 710, a communication network 720, a simulator 730, and the first to nth terminals 740-1 to 740-n, and the like. It can be configured.

The management server 710 constructs a library by receiving and storing an image file in the form of an actual defect in the field, and generating a defect signal through digital digitization. Of course, these libraries are stored in the database 711. To this end, the management server 710 may include a processor, a communication circuit, a memory, and software.

The communication network 720 refers to a connection structure in which information exchange is possible between each node such as a plurality of terminals and servers, and includes a public switched telephone network (PSTN), a public switched data network (PSDN), and a comprehensive information communication network (ISDN). Integrated Services Digital Networks), Broadband ISDN (BISDN), Local Area Network (LAN), Metropolitan Area Network (MAN), Wide LAN (WLAN), etc. However, the present invention is not limited thereto, and wireless communication networks such as Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Wireless Broadband (Wibro), Wireless Fidelity (WiFi), High Speed Downlink (HSDPA) Packet Access) network, Bluetooth, Near Field Communication (NFC) network, satellite broadcasting network, analog broadcasting network, Digital Multimedia Broadcasting (DMB) network, and the like. Alternatively, it may be a combination of these wired communication networks and wireless communication networks.

The simulator 730 receives simulated data from the first to nth terminals 740-1 to 740-n, performs a cable diagnosis simulation, and calculates the simulation results from the first to nth terminals 740-1 to 740-n. Performs the function provided in ).

Of course, in FIG. 7, the management server 710 and the simulator 730 are separately illustrated for understanding, but it is also possible to integrate the simulator 730 into the management server 710.

The 1st to nth terminals 740-1 to 740-n are a personal computer (PC), a mobile phone, a smart phone, a laptop computer, a terminal for digital broadcasting, and personal digital assistants (PDAs). ), Portable Multimedia Player (PMP), navigation, note pad, etc.

8 is a block diagram showing the configuration of the simulator 730 shown in FIG. 7. Referring to FIG. 8, the simulator 730 includes a control unit 810, a communication unit 820, an input unit 830, a processing unit 840, a determination unit 850, a display unit 860, a storage unit 870, and the like. It can be configured to include.

The controller 810 controls components to perform input/output processing of signals and data.

The communication unit 820 is connected to the communication network 720 and is communicatively connected to the management server 710 and the first to nth terminals 740-1 to 740-n. To this end, the communication unit 820 may be configured to include a modem, a LAN card, or the like.

The input unit 830 performs a function of receiving a user's command. At this time, the command may be manipulation, voice, or touch. Thus, it can be an operation key, a touch screen, a microphone, and the like, and combinations thereof.

The processing unit 840 performs a function of generating a random noise signal by processing the simulated data received according to a user's command.

The determination unit 850 performs a function of combining the noise signal with the defect signal and determining and extracting the corresponding defect signal.

The display unit 860 performs a function of displaying an input screen, a processing screen, and a result screen. The display unit 860 may be an LCD (Liquid Crystal Display), LED (Light Emitting Diode) display, PDP (Plasma Display Panel), OLED (Organic LED) display, touch screen, CRT (Cathode Ray Tube), flexible display, etc. have.

The storage unit 870 performs a function of storing data, a program that executes an algorithm for extracting a defect signal according to input of simulated data, and the like. The storage unit 870 is a flash memory type, a hard disk type, a multimedia card micro type, and a card type memory (for example, SD (Secure Digital) or XD (eXtreme Digital) memory, etc.), RAM (Random Access Memory, RAM), SRAM (Static Random Access Memory), ROM (Read Only Memory, ROM), EEPROM (Electrically Erasable Programmable Read Only Memory), PROM (Programmable Read Only Memory) ), a magnetic memory, a magnetic disk, and an optical disk. In addition, it may operate in connection with a web storage or cloud server that performs a storage function on the Internet.

The control unit 810, the processing unit 840, and the determination unit 850 illustrated in FIG. 8 refer to units that process at least one function or operation, and may be implemented in software and/or hardware. In hardware implementation, application specific integrated circuit (ASIC), digital signal processing (DSP), programmable logic device (PLD), field programmable gate array (FPGA), processors, microprocessors, and other devices designed to perform the above-described functions It may be implemented as an electronic unit or a combination thereof. In software implementation, software component (element), object-oriented software component, class component and work component, process, function, property, procedure, subroutine, segment of program code, driver, firmware, microcode, data , Databases, data structures, tables, arrays, and variables. Software, data, etc. may be stored in memory and executed by a processor. The memory or processor may employ various means well known to those skilled in the art.

9 is a flowchart illustrating a process of configuring a defect signal library according to an embodiment of the present invention. Referring to FIG. 9, images having various types of waveforms from the past to the present are input (step S910). These images are images with waveform diagrams of actual field defects according to cable failures collected so far. Thereafter, the images are converted into digital numerical form (step S920). A digitizer program or the like may be used to convert the image waveform into a digital numeric form. To further increase, it is mentioned that the corrugation of the waveform is represented by 0 and 1, respectively.

The digital numeric form may be expressed as "01010010", for example. In other words, "0101" at the beginning represents classification type information, and "0010" after that represents defect signal type information. Of course, this is only an example and it is possible to define differently.

A defect signal library is constructed according to this digital numerical form (step S930). In other words, it is classified in the form of cable extension and environment according to the cause of the defect, classification by defect location according to the location of occurrence, classification by defect cause according to the installation state, and classification by defect size according to the size of the defect. A defect signal library is constructed according to this classification type. That is, a library is a set of cases. This is shown in a table as follows.

Classification type Fault signal library Cable extension and environment * Defect signal generated by single pole
* Defect signal generated in the long run
* Defect signal in a place with little noise
* Defect signal at a place with a lot of noise Classification by defect location * Straight connector defect signal * End connector defect signal
* Elbow connector defect signal * Defect signal during cable span
* Defects near the time of diagnosis
* Defect near the end point Classification by cause of defect * Deterioration deterioration point defect signal * Deterioration deterioration point deterioration signal
* Void defect signal * Manufacturing defect point defect signal
* Defect signal for defective construction sites Classification by defect size * Fault signal generated at low voltage
* Fault signal caused by high voltage

10 is a flowchart showing a diagnosis process according to an embodiment of the present invention. Referring to FIG. 10, a user inputs simulated data (step S1010). The simulated data is data that gives conditions such as gain, trigger, etc. for each library. Thereafter, a random noise signal is generated based on the inputted simulated data (step S1020). Arbitrary noise signal means that the waveform is randomly preset. In addition, the waveform may be irregularly formed or formed flat, or a flat section and an irregular section may be configured to be repeated.

Thereafter, an arbitrary noise signal is combined with the defect signal from the defect signal library to extract the corresponding final defect signal (steps S1030 and S1040). In other words, it becomes difficult to distinguish the original defect signal by mixing noise with the original defect signal to generate the final defect signal so that the original defect signal can be analyzed through training. Of course, the original defect signal may be a signal directly desired by the user, or it is also possible to use the original defect signal according to the fault extracted so far.

When the final defect signal is extracted, the degree of degradation of the cable is determined through this final defect signal.

In general, the reliability of extraction of VLF diagnosis is as follows.

division Underground cable Connection material Sum (average) Analysis (segment, number) 3 6 9 Normal (Segment, Dog) One - One Bad (section, number) 2 6 8 Confidence in extraction (%) 66.7 100.0 88.9

In particular, the diagnostic execution procedure for each type of VLF diagnosis is as follows.

Type of diagnosis Diagnosis procedure Defect judgment criteria Withstand voltage test * Measurement of insulation for the entire cable under test
* Check whether insulation breakdown occurs by applying a voltage 3 times the phase voltage to the test cable for 30 minutes * Determination of defects in case of insulation breakdown during test TD diagnosis * Measurement of insulation for the entire cable under test
* Measure 8 leakage currents during 8 cycles for each voltage by sequentially applying 0.5 times, 1.0 times and 1.5 times phase voltage to the cable to be tested (measure 24 values) * Deterioration after analysis of 24 measured values
Degree judgment PD diagnosis * Local defect (PD) extraction of the cable to be tested
* Determine whether or not partial discharge occurs, the size of the discharge amount, and the location of occurrence by sequentially applying phase voltages of 1.0, 1.25, 1.5, and 1.75 times to the cable to be tested. * Cable 5pC, connection material 300 pC
Defect judgment when abnormal PD occurs

Meanwhile, the types and purposes of VLF diagnosis are as follows.

Type of diagnosis Withstand voltage test TD diagnosis PD diagnosis Target of diagnosis New cable (before the first pressurization) Old cables (approximately 15 years old) New and old cables Purpose of diagnosis Extraction of manufacturing and construction defects Cable tree and aging extraction Partial discharge of cables and extraction of local defects

11 is a conceptual diagram showing the configuration of a library according to an embodiment of the present invention. Referring to FIG. 11, past defect signals (ie, images) are collected (1110 ), digitally converted (1120 ), and configured as a defect signal library (1130 ). In the past defect signals, all defect signals (captured images) that were actually extracted in the past are converted into digital numerical form. The defect signal library can be organized by classifying the types of defects such as cause, location, and installation status. 129.5m is the actual fault location, and 456.0m is the cable length.

12 is a conceptual diagram showing the concept of extracting a defect signal according to an embodiment of the present invention. Referring to FIG. 12, a final defect signal 1230 is generated by adding a noise signal 1220 to a defect signal library 1210.

In addition, the steps of the method or algorithm described in connection with the embodiments disclosed herein are implemented in the form of program instructions that can be executed through various computer means such as a microprocessor, a processor, and a CPU (Central Processing Unit), and are computer-readable. It can be recorded on any media. The computer-readable medium may include a program (command) code, a data file, a data structure, or the like alone or in combination.

The program (command) code recorded on the medium may be specially designed and configured for the present invention, or may be known to and usable by a person skilled in the art of computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROM, DVD, Blu-ray, and the like, and ROM, RAM ( A semiconductor memory device specially configured to store and execute program (instruction) codes such as RAM), flash memory, and the like may be included.

Here, examples of the program (instruction) code include not only machine language codes such as those produced by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware device described above may be configured to operate as one or more software modules to perform the operation of the present invention, and vice versa.

700: cable diagnostic simulation system
710: management server
711: database
720: communication network
730: simulator
740-1 to 740-n: first terminal to nth terminal

Claims (17)

A management server 710 that receives images, processes them as defect signals, and stores them;
First to second terminals 740-1 to 740-n that generate simulated data using user input information; And
A simulator that is connected to the management server 710 and the first to second terminals 740-1 to 740-n through the communication network 720 and performs a cable diagnosis simulation using the simulated data and stored fault signals ( 730);
Cable diagnosis simulation system comprising a.
The method of claim 1,
Cable diagnosis simulation system, characterized in that the images are converted into digital numerical form.
The method of claim 2,
The digital numeric form has classification form information and defect signal type information.
The method of claim 3,
The classification type information includes cable length and environment classification according to the cause of the defect, classification according to the defect location according to the location of occurrence, classification according to the cause of the defect according to the installation state, and classification according to the size of the defect according to the size of the defect. Diagnostic simulation system.
The method of claim 4,
The management server 710 constructs a defect signal library according to the classification type information by using the defect signal type information.
The method of claim 5,
The defect signal library includes a defect signal generated from a single strand and a defect signal generated from a long strand according to the cable length and environment, and according to the classification of the defect location, the straight connector defect signal, the termination material defect signal, and the elbow connector defect signal , Including a defect signal in the cable span, and including a defect signal of an aged deterioration point, a defect signal of an aged deterioration point, a void defect signal, a defect signal of a manufacturing defect, and a defect signal of a construction defect according to classification by defect cause. Cable diagnostic simulation system.
The method of claim 1,
The cable diagnosis simulation system, wherein the noise signal set according to the simulated data is added to the defect signal to generate a final defect signal.
The method of claim 7,
The noise signal is a cable diagnosis simulation system, characterized in that pre-set randomly.
The method of claim 7,
The cable diagnosis simulation VLF (V ery L ow F requency) cable diagnosis simulation system, characterized in that the simulation of the diagnosis. The method of claim 9,
The VLF diagnosis is any one of a withstand voltage test, a tipping discharge (TD) diagnosis, and a partial discharge (PD) diagnosis.
The method of claim 10,
The withstand voltage test is a cable diagnosis simulation system, characterized in that measuring the insulation state of the entire cable.
The method of claim 10,
The TD diagnosis is a cable, characterized in that the insulation state of the entire cable is measured, or by sequentially applying a phase voltage of 0.5 times, 1.0 times, and 1.5 times to the cable to measure 8 leakage currents for 8 cycles for each voltage. Diagnostic simulation system.
The method of claim 10,
In the PD diagnosis, local defects (PD) of the corresponding cable are extracted, or whether a partial discharge occurs by sequentially applying a phase voltage of 1.0 times, 1.25 times, 1.5 times, and 1.75 times to the corresponding cable, the amount of discharge generated, and Cable diagnosis simulation system, characterized in that to determine the location of the occurrence.
(a) the management server 710 receives images, processes them as defect signals, and stores them;
(b) generating, by the first to second terminals 740-1 to 740-n, simulated data using the user's input information; And
(c)) The simulator 730 connected to the management server 710 and the first to second terminals 740-1 to 740-n through the communication network 720 uses the simulated data and the stored fault signal. Performing a cable diagnosis simulation;
Cable diagnosis simulation method comprising a.
The method of claim 14,
Cable diagnosis simulation method, characterized in that the images are converted into digital numerical form.
The method of claim 14,
The cable diagnosis simulation method comprising generating a final defect signal by adding a noise signal set according to the simulated data to the defect signal.
A computer-readable storage medium containing program code for executing the cable diagnosis simulation method according to claim 14.

Images