CN116793589A - Transformer fault detection method and device - Google Patents
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- 238000000862 absorption spectrum Methods 0.000 description 18
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Abstract
The application discloses a transformer fault detection method and device. After a plurality of calibration gases are sequentially introduced into the air chamber, the excitation module outputs an excitation signal to the laser emission module so that laser rays emitted by the laser emission module sequentially pass through each optical filter to reach the photoelectric detection module; the processing module determines a concentration coefficient according to the calibrated photoelectric signal output by the photoelectric detection module and the calibrated concentration of each calibrated gas; after the gas to be detected is introduced into the gas chamber, the excitation module outputs an excitation signal to the laser emission module, so that laser rays emitted by the laser emission module sequentially pass through each optical filter to reach the photoelectric detection module; the processing module determines the concentration of each gas in the gas to be detected according to the current photoelectric signal and the concentration coefficient output by the photoelectric detection module; the processing module determines whether the transformer is faulty according to the concentration of each gas and determines the fault type when the transformer is faulty. The technical scheme of the application improves the efficiency and accuracy of transformer fault detection.
Description
Technical Field
The application relates to the technical field of transformer fault detection, in particular to a transformer fault detection method and device.
Background
Power transformers are important devices in power systems, and safe operation of the transformers is a necessary condition for reliable operation of the power system. In order to ensure the safe operation of the transformer, the transformer is subjected to fault monitoring, when the transformer is in fault, gas is leaked, and the types and the concentrations of the gas leaked by different faults of the transformer are different, so that whether the transformer is in fault or not and the fault type can be determined according to the detection of the gas around the transformer.
At present, when the transformer is subjected to fault detection, an offline chromatographic technique, an oil chromatographic technique or a photoacoustic spectroscopic technique is adopted, and the photoacoustic spectroscopic technique can be used for detecting trace gas and is widely applied recently.
Photoacoustic spectroscopy techniques include direct absorption spectroscopy and wavelength modulation spectroscopy. The direct absorption spectrum technology controls the current change of the laser to make the output wavelength change sweep through the gas absorption peak, the laser wavelength is modulated by low frequency to scan the absorption line, the absorption spectrum is scanned for multiple times in unit time, and the detection result in a single period is averaged and output. However, when the current is changed, not only the frequency is changed, but also the intensity of the laser is changed, and the measured gas absorption spectrum has a small background inclination angle. This inclination causes a disadvantage in that the signal is easily buried in noise when the gas detection concentration is low, and the concentration of each gas cannot be accurately detected. The wavelength modulation spectrum technology is complex in calculation, so that the detection time is long, and the detection efficiency is low.
Disclosure of Invention
The application provides a transformer fault detection method and device, which are used for improving the efficiency and accuracy of transformer fault detection.
According to an aspect of the present application, there is provided a transformer fault detection method, the method being performed by a transformer fault detection apparatus including an excitation module, a laser emission module, a filter module, an air chamber, a photoelectric detection module, and a processing module; the excitation module is connected with the laser emission module; the optical filtering module comprises a plurality of optical filters; the center wavelengths of the plurality of optical filters are different; the processing module is connected with the photoelectric detection module;
the method comprises the following steps:
after a plurality of calibration gases are sequentially introduced into the air chamber, the excitation module outputs an excitation signal to the laser emission module so that laser rays emitted by the laser emission module sequentially pass through each optical filter to reach the photoelectric detection module;
the processing module determines a concentration coefficient according to the calibrated photoelectric signals output by the photoelectric detection module and the calibrated concentration of each calibrated gas;
after the gas to be detected is introduced into the gas chamber, the excitation module outputs the excitation signal to the laser emission module, so that laser rays emitted by the laser emission module sequentially pass through each optical filter to reach the photoelectric detection module; the gas to be detected is dissolved gas in transformer oil;
the processing module determines the concentration of each gas in the gas to be detected according to the current photoelectric signal output by the photoelectric detection module and the concentration coefficient;
the processing module determines whether the transformer fails according to the concentration of each gas, and determines the fault type of the transformer when the transformer fails.
Optionally, the excitation signal includes a harmonic signal, and the harmonic signal includes two current signals with the same frequency and the same vibration direction;
the excitation module outputs an excitation signal to the laser emitting module, comprising:
the excitation module outputs harmonic signals to the laser emission module.
Optionally, the processing module determines a concentration coefficient according to the calibrated photoelectric signal output by the photoelectric detection module and the calibrated concentration of each of the calibrated gases, and includes:
and the processing module performs dot multiplication operation on a calibration signal matrix corresponding to the calibration photoelectric signal and inverse matrixes of calibration concentration matrixes corresponding to all the calibration concentrations to obtain the concentration coefficient.
Optionally, the processing module determines the concentration of each gas in the gas to be detected according to the current photoelectric signal output by the photoelectric detection module and the concentration coefficient, including:
and the processing module performs dot multiplication operation on the current signal matrix corresponding to the current photoelectric signal and the inverse matrix of the concentration coefficient to obtain a concentration matrix of the gas to be detected, so as to obtain the concentration of each gas in the gas to be detected.
Optionally, the transformer fault detection device further comprises an oil-gas separation module;
before the plurality of calibration gases are sequentially introduced into the air chamber, the method further comprises the steps of:
the oil-gas separation module performs oil-gas separation on the calibration oil sample to obtain a plurality of calibration gases;
before the gas to be detected is introduced into the gas chamber, the method further comprises the following steps:
and the oil-gas separation module performs oil-gas separation on an oil sample to be tested of the transformer to obtain the gas to be tested.
Optionally, the processing module determines whether the transformer fails according to the concentration of each gas, and determines a failure type of the transformer when the transformer fails, including:
the processing module determines whether the transformer fails according to the current concentration matrix corresponding to the concentration of each gas and a preset corresponding relation, and determines the failure type of the transformer when the transformer fails; the preset corresponding relation is the corresponding relation between the concentration matrix and the fault type.
Optionally, the processing module determines whether the transformer fails according to a relationship between a current concentration matrix corresponding to the concentration of each gas and a preset correspondence, and determines a failure type of the transformer when the transformer fails, including:
the processing module calculates a concentration matrix difference value in the corresponding relation between the current concentration matrix and a preset value;
and when the difference value is smaller than an error threshold value, the processing module determines the transformer fault, and takes the fault type corresponding to the concentration matrix of which the absolute value of the difference value is smaller than the error threshold value as the fault type of the transformer.
According to another aspect of the present application, there is provided a transformer fault detection apparatus including: the device comprises an excitation module, a laser emission module, a light filtering module, an air chamber, a photoelectric detection module and a processing module;
the optical filtering module comprises a plurality of optical filters; the center wavelengths of the plurality of optical filters are different;
the excitation module is connected with the laser emission module; the excitation module is used for sequentially introducing various calibration gases into the air chamber or introducing gases to be detected into the air chamber, and then outputting excitation signals to the laser emission module so that laser rays emitted by the laser emission module sequentially pass through each optical filter to reach the photoelectric detection module;
the processing module is connected with the photoelectric detection module; the processing module is used for determining a concentration coefficient according to the calibrated photoelectric signals output by the photoelectric detection module and the calibrated concentration of each calibrated gas; determining the concentration of each gas in the gas to be detected according to the current photoelectric signal output by the photoelectric detection module and the concentration coefficient; and determining whether the transformer fails according to the concentration of each gas, and determining the fault type of the transformer when the transformer fails.
Optionally, the transformer fault detection device further comprises an oil-gas separation module;
the oil-gas separation module is used for carrying out oil-gas separation on a calibration oil sample before a plurality of calibration gases are introduced into the air chamber, so as to obtain a plurality of calibration gases; the oil-gas separation module is also used for carrying out oil-gas separation on an oil sample to be tested of the transformer before the gas to be tested is introduced into the gas chamber, so as to obtain the gas to be tested.
Optionally, the laser emitting module comprises a diode laser.
According to the technical scheme, the plurality of optical filters are arranged, so that the light rays entering the air chamber each time are different, a single gas can be scanned, a single absorption spectrum line is obtained, namely, single photoelectric data is obtained, interference from background gas is avoided, cross interference among the gases can be avoided, and the accuracy of transformer fault detection is improved. And through the multiple calibration gases of letting in proper order, confirm the concentration coefficient according to the calibration photoelectric signal that the photoelectric detection module outputs and the calibration concentration of each calibration gas, then let in the gas chamber and await measuring the gas, confirm the concentration of each gas in the gas to be awaited measuring according to current photoelectric signal and concentration coefficient that the photoelectric detection module outputs, can confirm the trouble of the voltage transformer according to the concentration of each gas, and confirm the trouble type of the voltage transformer according to the concentration of each gas when the voltage transformer breaks down, therefore calculate portably, can reduce the calculation time, promote the efficiency of the fault detection of the voltage transformer. Therefore, the technical scheme of the embodiment improves the efficiency and accuracy of transformer fault detection.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the application or to delineate the scope of the application. Other features of the present application will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a transformer fault detection method according to an embodiment of the present application;
FIG. 2 is a flow chart of yet another transformer fault detection method provided by an embodiment of the present application;
FIG. 3 is a flow chart of yet another transformer fault detection method provided by an embodiment of the present application;
fig. 4 is a schematic structural diagram of a transformer fault detection device according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of another transformer fault detection device according to an embodiment of the present application.
Detailed Description
In order that those skilled in the art will better understand the present application, a technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The application provides a transformer fault detection method which can be executed by a transformer fault detection device, wherein the transformer fault detection device comprises an excitation module, a laser emission module, a light filtering module, an air chamber, a photoelectric detection module and a processing module; the excitation module is connected with the laser emission module; the filtering module comprises a plurality of optical filters; the center wavelengths of the plurality of optical filters are different; the processing module is connected with the photoelectric detection module. The excitation module can generate an excitation signal, for example, a current signal or a voltage signal, the laser emission module emits laser rays after receiving the excitation signal, the laser rays generate laser rays with different wavelengths through different optical filters, and the laser rays are absorbed by different gases after entering the air chamber. The photoelectric detection module can acquire the absorption spectrum line containing the information of the gas to be detected, namely, acquire the absorption intensities of different light rays and output the absorption spectrum line in the form of an electric signal, and the processing module can determine the absorption intensities of the gas on the different light rays according to the electric signal output by the photoelectric detection module, so that the concentration of each gas is determined.
Fig. 1 is a flowchart of a transformer fault detection method according to an embodiment of the present application, where, as shown in fig. 1, the transformer fault detection method includes:
and S110, after a plurality of calibration gases are sequentially introduced into the air chamber, the excitation module outputs an excitation signal to the laser emission module so that laser rays emitted by the laser emission module sequentially pass through each optical filter to reach the photoelectric detection module.
When the transformer fails, the oil temperature around the failure point rises, and chemical bonds are broken to form various characteristic gases. The calibration gas being a gas generated by transformer oil, e.g. CH, in case of transformer failure 4 、C 2 H 4 、H 2 、CO、CO 2 And C 2 H 2 Etc.
Specifically, by sequentially introducing various calibration gases, the photoelectric detection module can acquire a plurality of corresponding photoelectric signals (electrical signals corresponding to the photoacoustic signals) to form the calibration photoelectric signals. That is, each time a calibration gas is introduced, the excitation module outputs an excitation signal to the laser emission module, the laser emission module passes through each optical filter to reach the photoelectric detection module, and the photoelectric detection module acquires a photoelectric signal. The optoelectronic signals are for example in the form of a matrix or data set, one optoelectronic signal comprising a plurality of optoelectronic data, one optical filter corresponding to each optoelectronic data. Different gases absorb light rays with different wavelengths, and a plurality of optical filters are arranged to output laser light rays with different wavelengths so as to detect different gases.
The optical filters are arranged on the optical filter disc, and the optical filters aligned with the laser emission modules can be replaced by rotating the optical filter disc, so that light rays with different wavelengths are emitted in sequence, and each photoelectric data is acquired in sequence.
S120, the processing module determines a concentration coefficient according to the calibrated photoelectric signals output by the photoelectric detection module and the calibrated concentration of each calibrated gas.
Specifically, the calibration concentration of the calibration gas is known, and the concentration coefficient is calculated according to the calibration photoelectric signal output by the photoelectric detection module and the calibration concentration of each calibration gas. By determining the concentration coefficient, the correspondence between the concentration of each gas and the photoelectric data can be determined, thereby facilitating the determination of the concentration of each gas in the gas to be measured according to the concentration coefficient.
S130, after the gas to be detected is introduced into the gas chamber, the excitation module outputs an excitation signal to the laser emission module, so that laser rays emitted by the laser emission module sequentially pass through each optical filter to reach the photoelectric detection module; the gas to be measured is dissolved gas in transformer oil.
Specifically, the gas to be measured is a dissolved gas in transformer oil, and then the gas to be measured contains various types of gases. After the gas to be detected is introduced into the gas chamber, the laser emission module sequentially emits light rays with different wavelengths to the gas chamber through each optical filter, the gas to be detected absorbs the light rays with different wavelengths, the photoelectric detection module obtains photoacoustic signals, namely the absorption intensity of each gas in the gas to be detected is obtained, and corresponding photoelectric signals are output.
And S140, the processing module determines the concentration of each gas in the gas to be detected according to the current photoelectric signal and the concentration coefficient output by the photoelectric detection module.
The processing module includes, for example, a single chip microcomputer or an upper computer, and may also include other data processors, which is not limited in this embodiment.
Specifically, the current photoelectric signal contains photoelectric data corresponding to each gas, and the processing module can calculate the concentration of each gas according to the current photoelectric signal and the concentration coefficient. By calculating the concentration of each gas, it is convenient to determine which gas or gases are more dissolved in the transformer oil, thereby determining whether the transformer is faulty and determining the type of fault of the transformer.
And S150, the processing module determines whether the transformer fails according to the concentration of each gas, and determines the failure type of the transformer when the transformer fails.
Specifically, the transformer determines whether the gas having a larger concentration is a gas generated when a fault occurs according to the concentration of each gas, thereby determining whether the transformer is faulty or not, and the fault type of the transformer may be determined according to the concentration of each gas. In one embodiment, the processing module determines which gas is more dissolved in the transformer oil, for example, based on the concentration of each gas, thereby determining the fault type of the transformer. For example when CH 4 And C 2 H 4 At a higher concentration, the gas mainly dissolved in the transformer oil is CH 4 And C 2 H 4 CH is generated when transformer oil is overheated 4 And C 2 H 4 The type of fault of the transformer can be determined to be oil overheating. For example when H 2 And C 2 H 2 At a higher concentration, the gas mainly dissolved in the transformer oil is H 2 、C 2 H 2 Mainly generating H when spark is discharged in transformer oil 2 And C 2 H 2 The type of fault of the transformer can thus be determined to be spark discharge in oil. For example when CH 4 、C 2 H 4 CO and CO 2 At a higher concentration, the gas mainly dissolved in the transformer oil is CH 4 、C 2 H 4 CO and CO 2 The main generated gas for overheating the transformer oil paper is CH 4 、C 2 H 4 CO and CO 2 It can thus be determined that the type of fault of the transformer is the oilpaper overheating. For example when CH 4 、H 2 And the concentration of CO is larger, the gas mainly dissolved in the transformer oil is CH 4 、H 2 And CO, CH is generated during partial discharge in oilpaper insulation 4 And C 2 H 4 It can be determined that the fault type of the transformer is oilpaper insulationPartial discharge in the middle.
In another embodiment, for example, a correspondence between the fault type and the concentration of each gas is stored in the processing module, and then the concentration of each gas is substituted into the correspondence for searching, so that the fault type of the transformer can be determined.
According to the technical scheme, laser rays are emitted through the laser emission module, the laser rays with different wavelengths are generated through different optical filters, after entering the air chamber, the laser rays are absorbed by different gases to obtain absorption spectrum lines containing information of the gas to be detected, namely, the absorption intensities of the different rays are obtained, therefore, the scheme for determining the concentration of the gas in the embodiment utilizes a tunable diode laser absorption spectrum technology, the principle of the tunable diode laser absorption spectrum technology (Tunable diode laser absorption spectroscopy, TDLAS) is based on the characteristic that the wavelength emitted by the laser emission module changes along with the temperature and the current, the laser wavelength is enabled to be changed continuously in a specific frequency range periodically, scanning of a single absorption spectrum line of the gas is completed, the laser reaches the photoelectric detection module after being absorbed by the gas, the absorption spectrum line containing the information of the gas to be detected is obtained, and the concentration of the gas to be detected is calculated according to the absorption intensity. Therefore, the technical scheme of the embodiment can scan single gas to acquire single absorption spectrum line, namely single photoelectric data, so that the interference of background gas is avoided, and the accuracy of transformer fault detection is improved.
In summary, according to the technical scheme of the embodiment, by arranging the plurality of optical filters, the light entering the air chamber each time is different, so that a single gas can be scanned, a single absorption spectrum line can be obtained, namely, a single photoelectric data can be obtained, interference from background gas is avoided, cross interference among gases can be avoided, and the accuracy of transformer fault detection is improved. And through the multiple calibration gases of letting in proper order, confirm the concentration coefficient according to the calibration photoelectric signal that the photoelectric detection module outputs and the calibration concentration of each calibration gas, then let in the gas chamber and await measuring the gas, confirm the concentration of each gas in the gas to be awaited measuring according to current photoelectric signal and concentration coefficient that the photoelectric detection module outputs, can confirm the trouble of the voltage transformer according to the concentration of each gas, and confirm the trouble type of the voltage transformer according to the concentration of each gas when the voltage transformer breaks down, therefore calculate portably, can reduce the calculation time, promote the efficiency of the fault detection of the voltage transformer. Therefore, the technical scheme of the embodiment improves the efficiency and accuracy of transformer fault detection.
On the basis of the above technical solution, optionally, before sequentially introducing a plurality of calibration gases into the air chamber, the method further includes: and introducing nitrogen with preset concentration into the air chamber, wherein the preset concentration is the nitrogen concentration of the environment where the transformer is actually operated. Therefore, the environment in calibration and detection is ensured to be the same as the actual working environment of the transformer, and the detection result is more accurate.
Optionally, the excitation signal comprises a harmonic signal comprising two columns of current signals of the same frequency and the same vibration direction. Thus, the harmonic signal is a signal formed by coherently superposing two current signals.
On the basis of the above technical solution, fig. 2 is a flowchart of another method for detecting a transformer fault according to an embodiment of the present application, optionally, referring to fig. 2, the method for detecting a transformer fault includes:
and S210, after a plurality of calibration gases are sequentially introduced into the air chamber, the excitation module outputs harmonic signals to the laser emission module so that laser rays emitted by the laser emission module sequentially pass through each optical filter to reach the photoelectric detection module.
Specifically, the harmonic signals are output through the excitation module, the harmonic signals are superposition of two lines of waves, the amplitude of the waves after coherent superposition is increased, and the amplitude of the waves is larger than that of the noise signals, so that the signal-to-noise ratio of the signals is improved, and external interference is avoided. Therefore, the absorption intensity of the calibration gas can be better detected, so that the photoelectric signal output by the photoelectric detection module is more accurate, and the accuracy of transformer fault detection is further improved.
The frequencies and directions of vibration of the two waves are the same, and the vibration of the two waves can be expressed as psi 01 ＝A 1 cos(ωt+φ 01 ) Sum phi 02 ＝A 2 cos(ωt+φ 02 ) Wherein A is 1 For the amplitude of the first train wave, A 2 For the amplitude of the second train wave, ω represents the angular frequency of the two trains, t represents time, φ 01 Represents the phase of the first column wave, phi 02 Represents the phase of the second train of waves, ψ 01 Represents the first column wave, ψ 02 Representing a second train of waves.
S220, the processing module determines a concentration coefficient according to the calibrated photoelectric signals output by the photoelectric detection module and the calibrated concentration of each calibrated gas.
S230, after the gas to be detected is introduced into the gas chamber, the excitation module outputs harmonic signals to the laser emission module, so that laser rays emitted by the laser emission module sequentially pass through each optical filter to reach the photoelectric detection module; the gas to be measured is dissolved gas in transformer oil.
Specifically, the harmonic signals are output through the excitation module, the harmonic signals are superposition of two lines of waves, the amplitude of the waves after coherent superposition is increased, and the amplitude of the harmonic signals is larger than that of the noise signals, so that the signal-to-noise ratio of the excitation signals is improved, and the interference of external noise is avoided. Therefore, the absorption intensity of the gas to be detected can be better detected, so that the photoelectric signal output by the photoelectric detection module is more accurate, and the accuracy of transformer fault detection is further improved.
S240, the processing module determines the concentration of each gas in the gas to be detected according to the current photoelectric signal and the concentration coefficient output by the photoelectric detection module.
S250, the processing module determines whether the transformer fails according to the concentration of each gas, and determines the failure type of the transformer when the transformer fails.
The specific calculation modes of the concentration coefficient and the concentration of each gas are described below based on the above embodiments, but the present application is not limited thereto.
Fig. 3 is a flowchart of yet another method for detecting a transformer fault according to an embodiment of the present application, optionally, referring to fig. 3, the method for detecting a transformer fault includes:
and S310, after a plurality of calibration gases are sequentially introduced into the air chamber, the excitation module outputs harmonic signals to the laser emission module, so that laser rays emitted by the laser emission module sequentially pass through each optical filter to reach the photoelectric detection module.
S320, the processing module performs dot product operation on the calibration signal matrix corresponding to the calibration photoelectric signal and the inverse matrix of the calibration concentration matrix corresponding to all the calibration concentrations to obtain a concentration coefficient.
Specifically, after a calibration gas is introduced, the calibration gas enters the air chamber through one optical filter, the photoelectric detection module can detect an absorption spectrum, so that the photoelectric detection module corresponds to photoelectric data, after the optical filter disc is rotated, the calibration gas enters the air chamber through the next optical filter, the photoelectric detection module detects an absorption spectrum again, and the cycle is performed, after the calibration gas passes through all the optical filters, a plurality of photoelectric data can be obtained, an initial matrix is formed, for example, 8 optical filters are arranged on the optical filter disc, and then the initial matrix is a1×8 matrix or an 8×1 matrix. By sequentially introducing the calibration gases, each calibration gas corresponds to one initial matrix, a plurality of initial matrices can be obtained, for example, 8 calibration gases are introduced, and 8 initial matrices can be obtained, namely, an 8×8 calibration signal matrix is obtained.
The calibration signal matrix is, for example, V, the calibration concentration matrix formed by the calibration concentration corresponding to each calibration gas is B, the concentration coefficient is a, a·b=v, and the concentration coefficient a=v·b -1 And performing dot product operation on the calibration signal matrix and the inverse matrix of the calibration concentration matrix to obtain a concentration coefficient. The nominal concentration of the 8 nominal gases being, for example, C 01 、C 02 、C 03 、C 04 、C 05 、C 06 、C 07 And C 08 Calibrating concentration matrix asCalibrating signal matrix to be +.>Then a concentration matrix A can be calculated, for example +.>
S330, after the gas to be detected is introduced into the gas chamber, the excitation module outputs harmonic signals to the laser emission module, so that laser rays emitted by the laser emission module sequentially pass through each optical filter to reach the photoelectric detection module; the gas to be measured is dissolved gas in transformer oil.
S340, the processing module performs dot multiplication operation on the current signal matrix corresponding to the current photoelectric signal and the inverse matrix of the concentration coefficient to obtain a concentration matrix of the gas to be detected, so as to obtain the concentration of each gas in the gas to be detected.
Specifically, since a·b=v, b=a -1 V, namely, performing dot multiplication operation on a current signal matrix corresponding to the current photoelectric signal and an inverse matrix of a concentration coefficient to obtain a concentration matrix of the gas to be detected, wherein the concentration matrix is a unit matrix, and then the concentration of each gas can be determined according to the concentration matrix, so that the gas mainly dissolved in the transformer oil can be determined, and the fault type of the transformer can be determined.
S350, the processing module determines whether the transformer fails according to the concentration of each gas, and determines the failure type of the transformer when the transformer fails.
On the basis of the above technical solutions, optionally, the transformer fault detection device further includes an oil-gas separation module, where the oil-gas separation module can separate the gas dissolved in the oil.
Optionally, before the plurality of calibration gases are sequentially introduced into the air chamber, the method further comprises:
and the oil-gas separation module performs oil-gas separation on the calibration oil sample to obtain various calibration gases.
In particular, the calibration oil sample is for example transformer oil in which a calibration gas is dissolved, and the oil-gas separation module is for example an oil-gas separator. The oil-gas separation module separates out the dissolved gas in the calibration oil sample, so as to obtain various calibration gases, and the calibration gas is convenient to be adopted for calibration, so that the concentration coefficient is determined.
Optionally, before the gas to be measured is introduced into the gas chamber, the method further comprises:
and the oil-gas separation module performs oil-gas separation on the oil sample to be tested of the transformer to obtain gas to be tested.
Specifically, the oil sample to be measured of the transformer can be obtained in real time or at intervals in the running process of the transformer, and the oil-gas separation module separates out the gas dissolved in the oil sample to be measured of the transformer, so that the gas to be measured is obtained, the gas to be measured is conveniently detected, and the fault type of the transformer is determined. Therefore, the technical scheme of the embodiment can also determine the fault type of the transformer in the running process of the transformer, so that shutdown detection is not needed, and online monitoring is realized.
On the basis of the above technical solutions, optionally, the processing module determines whether the transformer fails according to the concentration of each gas, and determines the failure type of the transformer when the transformer fails, including:
the processing module determines whether the transformer fails according to the current concentration matrix corresponding to the concentration of each gas and the preset corresponding relation, and determines the failure type of the transformer when the transformer fails; the preset corresponding relation is the corresponding relation between the concentration matrix and the fault type.
Specifically, the processing module stores a preset corresponding relation, for example, the preset corresponding relation is stored in a form of a table, the processing module compares the current concentration matrix with the concentration matrix in the preset corresponding relation, if the current concentration matrix is equal to or close to a certain concentration matrix in the preset corresponding relation, the fault of the transformer is determined, and the fault type corresponding to the concentration matrix is the fault type of the transformer.
The correspondence between the concentration matrix and the fault type is determined, for example, according to a rule for determining dissolved gas in transformer oil, or may be determined according to an experiment, which is not limited in this embodiment.
Optionally, the processing module determines whether the transformer fails according to a corresponding relationship between a current concentration matrix corresponding to the concentration of each gas and a preset correspondence, and determines a failure type of the transformer when the transformer fails, including:
and a step a1, calculating a concentration matrix difference value in the corresponding relation between the current concentration matrix and the preset concentration matrix by the processing module.
Specifically, the difference value is, for example, a difference value between the current concentration matrix and a concentration matrix in a preset corresponding relationship, or may be a ratio of each value in the current concentration matrix to a value in the corresponding concentration matrix. By calculating the difference value, which concentration matrix in the preset corresponding relation is close to the current concentration matrix can be determined, so that the fault type of the transformer can be conveniently determined.
And a2, when the difference value is smaller than the error threshold value, the processing module determines the fault of the transformer, and takes the fault type corresponding to the concentration matrix with the absolute value smaller than the error threshold value as the fault type of the transformer.
Specifically, if the absolute value of the difference value of the concentration matrix in the corresponding relation between the current concentration matrix and the preset concentration matrix is smaller than the error threshold value, the fact that the current concentration matrix is close to the concentration matrix in the corresponding relation is indicated, the fault of the transformer is determined, the fault type corresponding to the concentration matrix in the corresponding relation can be used as the fault type of the current transformer, fault detection of the transformer is achieved, monitoring of the transformer is facilitated, and corresponding measures are timely taken when the transformer breaks down.
The technical solution of the present embodiment further provides a transformer fault detection device, and fig. 4 is a schematic structural diagram of the transformer fault detection device provided by the embodiment of the present application, as shown in fig. 4, where the device includes: the device comprises an excitation module 410, a laser emission module 420, a filtering module 430, an air chamber 440, a photoelectric detection module 450 and a processing module 460; the filtering module 430 includes a plurality of filters; the center wavelengths of the plurality of optical filters are different; the excitation module 410 is connected with the laser emission module 420; the excitation module 410 is configured to sequentially introduce a plurality of calibration gases into the gas chamber 440 or introduce a gas to be tested into the gas chamber 440, and output an excitation signal to the laser emission module 420, so that laser light emitted by the laser emission module 420 sequentially passes through each optical filter to reach the photoelectric detection module 450; the processing module 460 is connected with the photoelectric detection module 450; the processing module 460 is configured to determine a concentration coefficient according to the calibration photoelectric signal output by the photoelectric detection module 450 and the calibration concentration of each calibration gas; and determining the concentration of each gas in the gas to be detected according to the current photoelectric signal and the concentration coefficient output by the photoelectric detection module 450; and determining whether the transformer fails according to the concentration of each gas, and determining the fault type of the transformer when the transformer fails.
The excitation module 410 includes, for example, a power source or a laser source, the filtering module 430 includes a plurality of optical filters, and may further include a filter disc, where the plurality of optical filters are disposed on the filter disc, and the optical filters aligned with the laser beam output by the laser emission module 420 can be switched by rotating the filter disc, so that the laser beam output by the laser emission module 420 is output through different optical filters, and thus light with different wavelengths is output. The photo detection module 450 includes, for example, a photo detector.
Specifically, the excitation module 410 outputs an excitation signal to the laser emission module 420, and the laser emission module 420 emits laser light after receiving the excitation signal, and the laser light passes through different filters to generate laser light with different wavelengths, and is absorbed by different gases after entering the gas chamber. The photoelectric detection module 450 can acquire the absorption spectrum line containing the information of the gas to be detected, namely, acquire the absorption intensities of different light rays, and output the absorption spectrum line in the form of an electric signal, and the processing module 460 can determine the absorption intensities of the gas on the different light rays according to the electric signal output by the photoelectric detection module, so as to determine the concentration of each gas. By arranging the plurality of optical filters, the light entering the air chamber 440 each time is different, so that a single gas can be scanned, a single absorption spectrum line can be obtained, namely, a single photoelectric data can be obtained, interference from background gas is avoided, cross interference among gases can be avoided, and the accuracy of transformer fault detection is improved. And, through the multiple calibration gases of letting in proper order to the air chamber 440, confirm the concentration coefficient according to the calibration photoelectric signal that photoelectric detection module 450 outputted and the calibration concentration of each calibration gas, let in the gas chamber 440 and await measuring the gas again, confirm the concentration of each gas in the gas to be awaited measuring according to current photoelectric signal and the concentration coefficient that photoelectric detection module 450 outputted, can confirm the trouble of the transformer according to the concentration of each gas, and confirm the trouble type of the transformer according to the concentration of each gas when the transformer breaks down, therefore calculate portably, can reduce the calculation time, promote the efficiency of transformer fault detection.
Note that, the dashed lines in fig. 4 do not indicate that there is a connection relationship between the modules, but indicate transmission of light.
FIG. 5 is a schematic structural diagram of yet another transformer fault detection device according to an embodiment of the present application, optionally, referring to FIG. 5, the transformer fault detection device further includes an oil-gas separation module 470; the oil-gas separation module 470 is used for performing oil-gas separation on the calibration oil sample before introducing various calibration gases into the air chamber 440, so as to obtain various calibration gases; the oil-gas separation module 470 is further configured to perform oil-gas separation on the transformer to be tested to obtain the to-be-tested gas before the to-be-tested gas is introduced into the gas chamber 440.
Specifically, the oil and gas separation module 470 is, for example, an oil and gas separator. The oil-gas separation module 470 can separate the dissolved gas in the calibration oil sample, thereby obtaining various calibration gases, and the calibration gas is convenient to be used for calibration, so as to determine the concentration coefficient. The oil-gas separation module 470 can separate the gas dissolved in the oil sample to be tested of the transformer, thereby obtaining the gas to be tested, and being convenient for detecting the gas to be tested, thereby determining the fault type of the transformer.
Note that, in fig. 5, a dashed line between the oil-gas separation module 470 and the gas chamber 440 indicates a gas transmission relationship, and does not indicate a connection relationship.
Alternatively, the laser emitting module 420 includes a diode laser.
Specifically, the diode laser can generate laser light, and the wavelength of the diode laser changes along with the current change, so that the wavelength of the laser changes periodically and continuously in a specific frequency range, laser light with various different wavelengths can be conveniently output, and light with different wavelengths is absorbed by different gases, so that detection of different gases is realized.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present application may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present application are achieved, and the present application is not limited herein.
The above embodiments do not limit the scope of the present application. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application should be included in the scope of the present application.
Claims (10)
1. The transformer fault detection method is characterized by being executed by a transformer fault detection device, wherein the transformer fault detection device comprises an excitation module, a laser emission module, a light filtering module, an air chamber, a photoelectric detection module and a processing module; the excitation module is connected with the laser emission module; the optical filtering module comprises a plurality of optical filters; the center wavelengths of the plurality of optical filters are different; the processing module is connected with the photoelectric detection module;
the method comprises the following steps:
after a plurality of calibration gases are sequentially introduced into the air chamber, the excitation module outputs an excitation signal to the laser emission module so that laser rays emitted by the laser emission module sequentially pass through each optical filter to reach the photoelectric detection module;
the processing module determines a concentration coefficient according to the calibrated photoelectric signals output by the photoelectric detection module and the calibrated concentration of each calibrated gas;
after the gas to be detected is introduced into the gas chamber, the excitation module outputs the excitation signal to the laser emission module, so that laser rays emitted by the laser emission module sequentially pass through each optical filter to reach the photoelectric detection module; the gas to be detected is dissolved gas in transformer oil;
the processing module determines the concentration of each gas in the gas to be detected according to the current photoelectric signal output by the photoelectric detection module and the concentration coefficient;
the processing module determines whether the transformer fails according to the concentration of each gas, and determines the fault type of the transformer when the transformer fails.
2. The method of claim 1, wherein the excitation signal comprises a harmonic signal comprising two columns of current signals of the same frequency and same direction of vibration;
the excitation module outputs an excitation signal to the laser emitting module, comprising:
the excitation module outputs harmonic signals to the laser emission module.
3. The method of claim 1, wherein the processing module determining a concentration factor from the calibrated photoelectric signal output by the photoelectric detection module and the calibrated concentration of each of the calibrated gases comprises:
and the processing module performs dot multiplication operation on a calibration signal matrix corresponding to the calibration photoelectric signal and inverse matrixes of calibration concentration matrixes corresponding to all the calibration concentrations to obtain the concentration coefficient.
4. The method of claim 1, wherein the processing module determining the concentration of each of the gases under test based on the current photoelectric signal output by the photoelectric detection module and the concentration coefficient comprises:
and the processing module performs dot multiplication operation on the current signal matrix corresponding to the current photoelectric signal and the inverse matrix of the concentration coefficient to obtain a concentration matrix of the gas to be detected, so as to obtain the concentration of each gas in the gas to be detected.
5. The method of any one of claims 1-4, wherein the transformer fault detection device further comprises an oil-gas separation module;
before the plurality of calibration gases are sequentially introduced into the air chamber, the method further comprises the steps of:
the oil-gas separation module performs oil-gas separation on the calibration oil sample to obtain a plurality of calibration gases;
before the gas to be detected is introduced into the gas chamber, the method further comprises the following steps:
and the oil-gas separation module performs oil-gas separation on an oil sample to be tested of the transformer to obtain the gas to be tested.
6. The method of claim 1, wherein the processing module determining whether the transformer is malfunctioning based on the concentration of each gas and determining a type of malfunction of the transformer when the transformer is malfunctioning comprises:
the processing module determines whether the transformer fails according to the current concentration matrix corresponding to the concentration of each gas and a preset corresponding relation, and determines the failure type of the transformer when the transformer fails; the preset corresponding relation is the corresponding relation between the concentration matrix and the fault type.
7. The method of claim 6, wherein the processing module determining whether the transformer is faulty according to a current concentration matrix corresponding to the concentration of each gas and a preset correspondence, and determining a fault type of the transformer when the transformer is faulty, comprises:
the processing module calculates a concentration matrix difference value in the corresponding relation between the current concentration matrix and a preset value;
and when the difference value is smaller than an error threshold value, the processing module determines the transformer fault, and takes the fault type corresponding to the concentration matrix of which the absolute value of the difference value is smaller than the error threshold value as the fault type of the transformer.
8. A transformer fault detection device, comprising: the device comprises an excitation module, a laser emission module, a light filtering module, an air chamber, a photoelectric detection module and a processing module;
the optical filtering module comprises a plurality of optical filters; the center wavelengths of the plurality of optical filters are different;
the excitation module is connected with the laser emission module; the excitation module is used for sequentially introducing various calibration gases into the air chamber or introducing gases to be detected into the air chamber, and then outputting excitation signals to the laser emission module so that laser rays emitted by the laser emission module sequentially pass through each optical filter to reach the photoelectric detection module;
the processing module is connected with the photoelectric detection module; the processing module is used for determining a concentration coefficient according to the calibrated photoelectric signals output by the photoelectric detection module and the calibrated concentration of each calibrated gas; determining the concentration of each gas in the gas to be detected according to the current photoelectric signal output by the photoelectric detection module and the concentration coefficient; and determining whether the transformer fails according to the concentration of each gas, and determining the fault type of the transformer when the transformer fails.
9. The transformer fault detection device of claim 8, further comprising an oil-gas separation module;
the oil-gas separation module is used for carrying out oil-gas separation on a calibration oil sample before a plurality of calibration gases are introduced into the air chamber, so as to obtain a plurality of calibration gases; the oil-gas separation module is also used for carrying out oil-gas separation on an oil sample to be tested of the transformer before the gas to be tested is introduced into the gas chamber, so as to obtain the gas to be tested.
10. The transformer fault detection device of claim 8, wherein the laser emitting module comprises a diode laser.
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