KR100725553B1 - Apparatus and method for detecting failure signal of electrical equipment - Google Patents

Abstract

The present invention relates to a method for diagnosing an electrical equipment signal abnormality, comprising the steps of: dividing a measured voltage data read from an outlet of an electrical equipment into predetermined array sizes at predetermined array acquisition periods to generate input arrays, And storing the resultant arrays in a result array storing unit of the memory unit. The maximum value of the resultant sample values of the result arrays is stored in the storage unit. A second step of updating the result values of the result array values and the maximum values of the result array values based on a predetermined RGB expression conversion formula to generate RGB pixel values, And a third step of displaying the values on the monitor.

Electrical equipment, signal abnormality, measurement voltage, diagnosis, personal computer

Description

FIELD OF THE INVENTION [0001] The present invention relates to an apparatus,

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a schematic configuration diagram of an electrical equipment abnormality diagnostic apparatus for obtaining a voltage value through an outlet of an electrical equipment and transferring the voltage value to a personal computer according to an embodiment of the present invention;

2 is a block diagram of a signal processing unit implemented in a PC according to an embodiment of the present invention;

FIG. 3 is a control flowchart in the control unit in the PC according to the embodiment of the present invention,

4 is a memory map for explaining signal processing for measured voltage data applied to a PC,

5 is a diagram for explaining a procedure for converting a result array value into an RGB value according to a standard mode,

6 is a diagram for explaining a procedure for converting a result array value into an RGB value according to a log mode,

FIG. 7 is a screen configuration diagram showing that the electrical equipment is normally operating by the diagnostic method according to the embodiment of the present invention,

FIG. 8 is a schematic diagram showing a result of detecting a signal abnormality due to a discharge in an electrical installation using a diagnostic method according to an embodiment of the present invention. FIG.

The present invention relates to an apparatus and method for diagnosing an abnormality in an electrical equipment, and more particularly, to an apparatus and method for diagnosing an abnormality in an electrical equipment abnormality by using a personal computer.

Conventional electrical equipment abnormality diagnosis systems require expensive measuring equipment, and the measurement method is also troublesome. Also, only experts such as electric engineers had difficulty in using such a system so that it could operate the abnormality diagnosis apparatus for electrical equipment.

Accordingly, a method of easily detecting and confirming abnormality of electrical equipment even if not an expert has been desired.

In addition, distributed power generation systems such as fuel cells will be deployed to households within a few years. Distributed power generation system is a system that allows the general people who do not have enough knowledge about electricity to produce and use electricity themselves.

If a distributed generation system such as a fuel cell is supplied to each household, the public can easily and easily detect the abnormality of the electric equipment at a low cost, and countermeasures are further demanded.

SUMMARY OF THE INVENTION It is therefore an object of the present invention to provide an apparatus and method for diagnosing an electrical equipment abnormality that can easily diagnose an electrical equipment abnormality with a personal computer.

Another object of the present invention is to provide an apparatus and method for diagnosing an abnormality of an electrical equipment signal, which can easily and easily detect the abnormality of the electrical equipment.

According to another aspect of the present invention, there is provided a method for diagnosing an electrical equipment signal abnormality, comprising the steps of: dividing a measured voltage data read from an outlet of an electrical equipment into predetermined array sizes at predetermined array acquisition periods to generate input arrays, A first step of storing the arrays in an input array storage unit of a memory unit; a step of sequentially performing Fourier transform on each of the stored input arrays and storing the result arrays in a result array storing unit of the memory unit; A second step of updating the maximum value among the values of the result array values and the maximum value of the result array values by a predetermined RGB expression conversion equation to obtain an RGB pixel value And displaying the generated RGB pixel values on a monitor.

The present invention also provides an electrical equipment abnormality diagnostic apparatus comprising: a measuring instrument connected to an outlet of an electrical equipment and measuring voltage data every preset sample time period and outputting measurement voltage data; A signal processing unit mounted on a personal computer for performing signal processing for analyzing an abnormality of a signal in the electrical equipment using the measured voltage data and graphically displaying the signal analysis result and displaying the signal analysis result on a monitor;

Wherein the signal processing unit comprises:

A memory unit including an input array storage unit, a result array storage unit, and a result storage unit; and an input unit for generating input arrays by dividing the measured voltage data from the measurement equipment into predetermined array sizes at predetermined array acquisition periods, Storing input arrays in the input array storage unit, sequentially performing Fourier transform on each of the stored input arrays, storing the result arrays in the result array storing unit, The maximum value is updated to the maximum value storage unit, and the resultant sample values of the resultant array values and the maximum value are converted based on a preset RGB expression conversion formula to generate RGB pixel values, and the generated RGB pixel values And a signal processing unit for displaying the image signals on a computer monitor.

In the present invention, the signal abnormality of the electric equipment is diagnosed based on the following matters.

First, it only uses the voltage that is the easiest to measure from the electrical installation.

Second, in order to reduce the cost of the system, the signal processing is implemented so as to be processed in a software manner on a personal computer, which is distributed to each household.

Third, by visualizing the analysis results, the public can easily detect the abnormality of electrical equipment.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. It is to be noted that like elements in the drawings are denoted by the same reference numerals and the same reference numerals as possible. Further, the detailed description of well-known functions and constructions which unnecessarily obscure the gist of the present invention will be omitted.

1 is a schematic configuration diagram of an electrical equipment abnormality diagnosis device 2 for obtaining a voltage value through an outlet of an electrical equipment and transmitting the voltage value to a personal computer according to an embodiment of the present invention.

 1, an electrical equipment abnormality diagnosis apparatus 2 according to an embodiment of the present invention includes a digital oscilloscope 8 as an entry level measuring instrument connected to a receptacle 6 of an electrical equipment 4, And a personal computer 10 (hereinafter referred to as "PC") for analyzing and displaying an abnormality.

The digital oscilloscope 8 is connected to the receptacle 6 in the electrical equipment 4 and the voltage from the receptacle 6 is measured using the digital oscilloscope 8. [ The digital oscilloscope 8 measures a voltage at a predetermined sampling time period Ts and applies the measured voltage data to the personal computer 10 in a digital form. The sampling time period Ts depends on the performance of the digital oscilloscope 8. It should also be considered that the better the performance of the digital oscilloscope 8 is, the shorter the sampling time period Ts becomes, but the price becomes higher instead. Therefore, in the embodiment of the present invention, it will be described by way of example to use a low-cost digital oscilloscope 8 which is suitable for purchase and use at home and does not cause a problem in detecting a signal abnormality. The sampling time period Ts of the exemplary digital oscilloscope 8 can be used in a range of at least 0.1 MHz.

The measured voltage data applied from the digital oscilloscope 8 to the PC 10 is composed of a plurality of voltage sample values to be described later with FIG.

When the measured voltage data is applied from the digital oscilloscope 8 to the PC 10, the signal processing unit 20 of the PC 10 performs signal processing for analyzing whether the signal is abnormal or not, And displays it on a monitor.

2 shows a signal processing unit 20 built in the PC 10 according to an embodiment of the present invention and includes a control unit 22, a memory unit 24, an FFT (Fast Fourier Transform) unit 34, a key input unit 36 ), And a monitor 38. The memory unit 24 includes an input array storage unit 26, a result storage unit 28, a maximum value storage unit 30, and an RGB value storage unit 32. The FFT unit 34 may be implemented in a software algorithm in the control unit 22 or in a separate chip form.

3 is a control flowchart of the control unit 22 of the PC 10 according to the embodiment of the present invention.

4 is a memory map of the memory unit 24 for explaining the signal processing for the measured voltage data applied to the PC 10 and FIGS. 5 and 6 show results And converting the array value into an RGB value. 7 and 8 are screen diagrams for analyzing the presence or absence of a signal in the electrical equipment based on the diagnostic method according to the embodiment of the present invention and displaying the analysis result on the monitor 38.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.
The voltage waveform at normal operation in the electrical equipment has a basic sinusoidal component like the signal waveform of the measured voltage data 210 shown in FIG. 7, but the voltage waveform at the time of the signal abnormality due to accident is the measured voltage data 310 As shown in FIG. When the voltage waveform at the normal operation of the electrical equipment is subjected to FFT, most of the voltage waveform is a fundamental wave component. However, when the voltage waveform at the time of signal abnormality is FFT, a high frequency component is generated. It becomes wider and its size becomes larger.
In the embodiment of the present invention, the following signal processing including FFT is performed using the measured voltage data so that not only the low frequency components but also the high frequency components mainly occurring at the time of the accident can know the magnitude change with time, (Table 1 and Table 2) by specifying the corresponding conversion formula based on the updated value and the condition range using the result array value stored in the result array storage unit 28 (Table 1 and Table 2) Thereby increasing the observation resolution of the change in the high frequency magnitude caused. In order to visually observe the change in the magnitude of the high frequency components occurring at the time of the accident in the transmission facility, it is implemented in RGB color representation.

When the measured voltage data is applied to the control unit 22 of the PC 10, the control unit 22 of FIG. 2 checks it in step 100 of FIG. 3 and proceeds to step 102 of FIG. In step 102 of FIG. 3, the control unit 22 divides the measured voltage data into a predetermined array size S for each predetermined array acquisition period Ta, and generates each input array. That is, as shown in FIG. 4, the input array obtained at the time t1 is' input array-1 ', the input array obtained at the time t2 is the input obtained at the input array-2', ..., The array is created with 'input array -n'. Each input array is comprised of a plurality of voltage sample values.

The array acquisition period Ta according to the embodiment of the present invention is shorter than the array size S because it is implemented so that the performance of the digital oscilloscope 8 can operate satisfactorily even at a low specification that can be purchased inexpensively at home . That is, in the embodiment of the present invention, some voltage sample values of the measured voltage data are used in the adjacent input arrays.

The array acquisition period Ta in the present invention may be varied depending on the performance of the digital oscilloscope 8 so that the array oscillation period Ta is shorter than the array size S as in the case of the low specification of the digital oscilloscope 8 It should be understood that the digital oscilloscope 8 may be similar to the array size S or may be longer than the array size S if the specification is high. The above array size S is defined as a power of 2.

3, the control unit 22 sequentially stores the input arrays in the corresponding storage positions of the input array storage unit 26 of the memory unit 24 in step 104 of FIG. That is, as shown in the input array storage unit 26 of the memory unit 24 of FIG. 4, the input array-1, the input array-2, the input array- The input array -n is stored sequentially.

Then, the control unit 22 checks whether or not the storage of the input array-n is completed in step 106, and then proceeds to step 108 of FIG.

3, the controller 22 reads the input array values in the order stored in the input array stored in the input array storage unit 26, and controls the FFT processing by the FFT (Fast Fourier Transform) unit 34 As a result, array values are obtained, respectively. The resultant array values obtained respectively are stored in the corresponding storage positions of the result array storage unit 28 in order. In addition, the controller 22 copies the largest value among the result sample values in each result array value, and updates the largest value in the maximum value storage unit 30.

In other words, the FFT processing is performed by reading the input array -1, 0, 1.6, ..., 6.7, and the resulting array values "0.1, 50, .., 127.4 "are read out and FFT-processed after the input array-2" 2.7, 4.3, ..., 127.4 " As a result, by storing the array values "0.2, 54, ..., 0.01" as " result array-2 " at the corresponding storage locations in the result array storage 28 and simultaneously updating the maximum value among the result sample values , Up to the input array -n.

As a result, as shown in FIG. 4, the result array values are stored in the result array storing unit 28, and in the maximum value storing unit 30, "54" Is updated. The final update value in the maximum value storage unit 30 is set as an upper limit range value (see Table 1 and Table 2) for visually observing the magnitude of various high frequency components caused by the accident, Which will be used to define the division reference points J _m and J _n .

The control unit 22 checks whether or not the storage of the result array -n is completed in step 110 of FIG. 3, and then proceeds to step 112 of FIG.

3, the control unit 22 converts each result sample value of the result array values based on a preset RGB expression conversion formula according to the selected set mode (standard mode, log mode) Pixel values, and stores the RGB pixel values in the RGB value storage unit 32. The execution of step 112 of FIG. 3 is a graphic processing procedure for displaying whether a signal abnormality is present on the computer monitor screen.
In computer monitors, which are typically represented by 24-bit color, natural colors are represented by a relative size combination of red (R), green (G), and blue (B). That is, each pixel constituting the image is represented by 24 bit color representation by combining 1 byte (8 bits) of each of R, G and B.
The RGB expression conversion formula in the embodiment of the present invention is a conversion formula for converting an RGB signal into an R, G, B value that enables an abnormal signal to be easily detected. As shown in Tables 1 and 2, Other conversion equations are specified. In the present invention, the standard mode and the log mode are conversion modes most suitable for the type of the accident, and have different conversion formulas based on each mode.

It is preferable that the user can select one of the standard mode and the log mode through the key input unit 36 before executing the signal abnormality diagnostic program. The standard mode is suitable for use where electrical equipment accidents are frequent, and the log mode is suitable for use where it is necessary to check the waveform information of the waveform due to the high distortion rate of the electrical equipment.

FIG. 5 is a diagram for explaining a procedure for converting result array values into RGB values according to the standard mode, and FIG. 6 is a diagram for explaining a procedure for converting result array values into RGB values according to the log mode.

The operation of converting result array values into RGB values using the standard mode will be described in detail with reference to FIG.

<Conversion by standard mode>

The controller 22 sets "0" to "0%" and the "maximum value" stored in the maximum value storage 30 of FIG. 4 to 100%, and then, Each of the result sample values is converted to a percentage to generate percentage sample values. Thereafter, the control unit 22 calculates the RGB pixel values using the standard mode conversion formula according to the conditions of Table 1 below as inputs of each of the percentage sample values.

However, in Table 1, and _n ≤J 0≤J _m, it shall meet the J _n ≤100.

The values of J _m and J _n in Table 1 depend on the size of the array size S, the sample time period Ts, the type of facility, and the like, which are obtained through experiments performed several times by the observer. J _m value and J _n value serve as a dividing reference point when dividing the equilibrium triangle between "0" and "maximum value", which makes it possible to increase the resolution of the section where the abnormal signal is captured. In other words, as shown in Table 1, it is very easy to detect an abnormal signal by defining different conversion equations applied to each divided section.

Next, the operation of converting the result array values into RGB values using the log mode will be described in detail with reference to FIG.

<Conversion by log mode>

The control unit 22 converts all result sample values of each of the result array values into log values to generate log sample values (= log result sample values) as shown in FIG. Thereafter, the control unit 22 calculates the RGB pixel values using the log mode conversion formula according to the conditions shown in Table 2 below as inputs of the log sample values.

However, in Table 2, J _min ≤ J _m ≤ J _n ≤ J _max is satisfied. The J _max value is the minimum integer satisfying the log maximum value J _max . When the log log result value = J _mim or the result sample value = 0, the log sample value is J _min .

The values of J _min , J _m , and J _n in Table 2 are the values obtained through experiments performed several times by the observer, depending on the size of the array size S, the sample time period Ts, the type of equipment, and the like.

The controller 22 performs step 112 of FIG. 3 and then proceeds to step 114 of FIG. 3 to display the RGB values stored in the RGB value storage unit 32 on the screen of the computer monitor 38. Each of the RGB pixel values is displayed as one pixel on the computer monitor 38, where the color of each pixel is determined by the respective RGB pixel value.

The graphical processing screen displayed on the monitor screen is an analysis result screen informing whether or not there is a signal abnormality in the electric equipment, so that the general public can recognize the abnormality of the electric equipment. Preferably, on the motor screen, a waveform indicating measurement voltage data (200 in FIG. 7 and 300 in FIG. 8) and a message indicating that there is a signal abnormality are also displayed .

FIG. 7 is a screen configuration diagram showing that the electrical equipment is normally operated by the diagnostic method according to the embodiment of the present invention. FIG. 8 is a diagram illustrating a diagnostic method according to an embodiment of the present invention, Is a screen configuration diagram showing the detected result.

Referring first to FIG. 7, reference numeral 200 in the screen is a steady state signal waveform. The in-screen signal 210 is the measured voltage data, and 220 is the current data measured to accurately identify an accident in the electrical equipment. Reference numeral 230 in FIG. 7 is a screen displaying RGB values displayed on the monitor 38 corresponding to the signal waveform 200. As can be seen from the display screen 230 of FIG. 7, in the case of the normal state, it can be seen that the blue color series by the RGB pixel values is uniformly and uniformly spread over the entire screen.

Referring to FIG. 8, reference numeral '300' in the screen is an abnormal signal waveform caused by an accident in the electrical equipment. The in-screen signal '310' is measured voltage data, and '320' is current data. Reference numeral 330 in FIG. 8 is a screen displaying RGB values displayed on the monitor 38. As can be seen from the display screen 330 of FIG. 8, in the case of a signal abnormality state in which the occurrence of high frequency is increased due to the occurrence of an accident, a peak red line 340 within a blue- It can be confirmed that it is drawn.

The present invention provides a status message (for example, a status message) that allows the user to easily recognize the status of the current electrical equipment at the lower part of the display screens 230 and 330 of FIGS. 7 and 8, And the signal waveform (200 in FIG. 7 and 300 in FIG. 8) may be displayed together. In order to clearly display the abnormal signal state, It is to be understood that the invention may be embodied in other forms.

While the present invention has been described in connection with what is presently considered to be practical exemplary embodiments, it is to be understood that the invention is not limited to the disclosed embodiments. Therefore, the scope of the present invention should not be limited by the described embodiments but should be determined by the equivalents of the claims and the claims.

As described above, the method for diagnosing an electrical equipment abnormality of the present invention has an advantage that it can be easily measured by simply measuring the voltage of the electrical equipment. In addition, by analyzing the measured voltage signal through a personal computer, it is possible to reduce the cost of diagnosing the electrical equipment abnormality and visualize the analysis result, so that the general public can easily recognize the abnormality of the electric equipment.

Claims (6)

A method for diagnosing an electrical equipment signal abnormality, A first step of dividing the measured voltage data read from an outlet of the electrical equipment into a predetermined array size for each predetermined array acquisition period to generate input arrays and storing the input arrays in an input array storage unit of the memory unit; Sequentially performs Fourier transform on each of the stored input arrays, stores the result arrays in a result array storing unit of the memory unit, and increases a resolution of a section in which abnormal signals are captured, A second step of storing the RGB pixel value division reference value in a maximum value storage unit of the memory unit so as to be used for defining an RGB pixel value division reference value to be provided; The RGB pixel value is converted based on the RGB expression conversion formula previously set by inputting the respective result sample values of the result array values and the maximum value and the RGB pixel value is converted into a corresponding conversion formula based on the division condition using the RGB pixel value division reference value, And displaying the generated R, G, and B pixel values on a monitor. The electrical equipment abnormality diagnosis method according to claim 1, wherein the arrangement acquisition period is shorter than the arrangement size. The method according to claim 1, Further comprising the step of providing the measured voltage data by measuring voltage data at predetermined sample time periods using measurement equipment connected to an outlet of the electrical equipment before the first process, Way. The method according to claim 1, Converting each result sample value in the resultant array values into a percentage using the maximum value to generate percentage sample values; Calculating an RGB pixel value using a predetermined standard mode conversion formula selected from among the above-mentioned percentage sample values having an electric facility as input, and calculating an RGB pixel value by a corresponding conversion formula based on the division condition using the RGB pixel value division reference value Calculating, And displaying the generated RGB pixel values on a monitor. The method according to claim 1, Generating log sample values by converting each result sample value in the result array values into a log value using a maximum value; Calculating a RGB pixel value using a predetermined log mode conversion equation in which a waveform is input at each input of the log sample values and where a distortion information check is required, wherein the RGB pixel value division reference value is calculated using a corresponding conversion formula based on a division condition using the RGB pixel value division reference value Calculating an RFB pixel value, And displaying the generated RGB pixel values on a monitor. An electrical equipment abnormality diagnostic apparatus comprising: A measuring instrument connected to an outlet of an electrical equipment and measuring voltage data every predetermined sample time period and outputting measurement voltage data; A signal processing unit mounted on a personal computer for performing signal processing for analyzing an abnormality of an electrical equipment signal using the measured voltage data and graphically displaying a signal analysis result and displaying the signal analysis result on a monitor; Wherein the signal processing unit comprises: A memory unit including an input array storage unit, a result array storage unit, and a result storage unit, Dividing the measured voltage data from the measuring instrument into a predetermined array size for each predetermined array acquisition period to generate input arrays, storing the generated input arrays in the input array storage unit, And sequentially stores the resultant arrays in the result storage unit, and defines a maximum value of the resultant sample values of the result arrays as an RGB pixel value dividing reference value for increasing the resolution of a section in which an abnormal signal is captured. And stores the resultant sample values of the resultant array values and the maximum value as input in accordance with a predetermined RGB expression conversion formula to generate RGB pixel values, and outputs the generated RGB pixel values And a signal processing unit for displaying the electrical equipment signal Single device.

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