A transformer direct current bias monitoring method and device, a terminal device and a medium

Abstract

This invention discloses a method, device, terminal equipment, and medium for monitoring DC bias magnetization in transformers. By analyzing the vibration signal of a target transformer, average vibration data is obtained. Based on this average vibration data and standard vibration data, vibration increment data is calculated. This increment data is then substituted into a bias magnetization calculation formula to obtain the bias magnetization coefficient. Finally, by comparing the bias magnetization coefficient with a preset bias magnetization evaluation range, the degree of DC bias magnetization in the target transformer is determined, thus achieving the monitoring of DC bias magnetization in transformers. This invention, based on the vibration signal of the target transformer, analyzes and obtains vibration increment data. Using this incremental vibration data for bias magnetization calculation and evaluation reduces errors caused by environmental factors affecting vibration amplitude, thereby improving the accuracy of DC bias magnetization monitoring in transformers.

Description

Technical Field

[0001] This invention relates to the field of inspection and testing services, and in particular to a method, device, terminal equipment, and medium for monitoring DC bias magnetic field of a transformer. Background Technology

[0002] my country's power grid system is a complex hybrid DC and AC transmission system. With the increasing scale of DC transmission system construction, the resulting DC bias in transformers and related problems are becoming increasingly serious, posing a significant threat to transformer safety and attracting widespread attention. DC bias affects the normal operation of transformers in many ways. It distorts the transformer's excitation current, leading to increased harmonics and reactive power losses. Increased leakage flux has two effects: firstly, it increases eddy current losses and temperature, leading to localized overheating of the transformer; secondly, it increases the electrodynamic force of the transformer windings, resulting in intensified transformer vibration. This increased vibration also leads to increased transformer noise. Furthermore, DC bias in transformers can cause malfunctions in power system relay protection equipment and even large-scale power outages, severely impacting the safe operation of the power grid. Therefore, identifying the DC bias phenomenon and its degree is crucial for the safe operation of transformers.

[0003] Existing technologies determine the degree of DC bias by calculating the amplitude of vibration acceleration signals. However, due to the influence of environmental factors, the amplitude of vibration acceleration signals may change abruptly, which will greatly reduce the accuracy of the DC bias degree obtained by existing technologies.

[0004] Therefore, there is an urgent need for a DC bias monitoring strategy for transformers to solve the problem of low accuracy in current DC bias monitoring of transformers. Summary of the Invention

[0005] This invention provides a method, device, terminal equipment, and medium for monitoring DC bias in transformers, thereby improving the accuracy of DC bias monitoring in transformers.

[0006] To address the above problems, one embodiment of the present invention provides a method for monitoring DC bias magnetism in a transformer, comprising:

[0007] The vibration signal of the target transformer is acquired, and several sets of vibration amplitude data corresponding to the vibration signal are analyzed.

[0008] Several sets of vibration standard data of the target transformer are obtained, and several sets of vibration increment data of the target transformer are calculated based on the several sets of vibration amplitude data and the several sets of vibration standard data; wherein, each set of vibration amplitude data corresponds one-to-one with each set of vibration standard data.

[0009] Substitute the aforementioned sets of vibration increment data into the bias magnetization calculation formula to calculate the bias magnetization coefficient of the target transformer.

[0010] By comparing the bias coefficient with the preset bias evaluation range, the DC bias degree of the target transformer is obtained.

[0011] As an improvement to the above solution, it also includes:

[0012] The harmonic distortion rate of the target transformer is calculated by substituting the aforementioned sets of vibration amplitude data into the harmonic distortion rate calculation formula; wherein the harmonic distortion rate calculation formula is as follows:

[0013] ;

[0014] In the formula, THD is the harmonic distortion rate; A n This refers to a set of vibration acceleration signal amplitudes at a frequency of nHz; the vibration amplitude data includes the vibration acceleration signal amplitudes.

[0015] As an improvement to the above solution, the step of acquiring several sets of vibration standard data of the target transformer, and calculating several sets of vibration increment data of the target transformer based on the several sets of vibration amplitude data and the several sets of vibration standard data, specifically involves:

[0016] Acquire several sets of vibration standard data for the target transformer;

[0017] Based on the aforementioned sets of vibration amplitude data and the aforementioned sets of vibration standard data, each set of vibration amplitude data and each set of vibration standard data at the same vibration frequency is substituted into the difference calculation formula to calculate the harmonic increment of each set of the target transformer; wherein, the difference calculation formula is:

[0018] ;

[0019] In the formula, For harmonic increments, This represents a set of vibration acceleration signal amplitudes at a frequency of nHz. This refers to a set of vibration standard acceleration signal amplitudes at a frequency of nHz; the vibration amplitude data includes the vibration acceleration signal amplitudes, and the vibration standard data includes the vibration standard acceleration signal amplitudes.

[0020] By summing up all the calculated harmonic increments, several sets of vibration increment data for the target transformer are obtained.

[0021] As an improvement to the above solution, the step of substituting the several sets of vibration increment data into the bias magnetization calculation formula to calculate the bias magnetization coefficient of the target transformer is as follows:

[0022] From the aforementioned sets of vibration increment data, the increments of odd harmonic vibration acceleration signals are extracted.

[0023] The bias magnetization coefficient of the target transformer is calculated by substituting the incremental odd-harmonic vibration acceleration signal into the bias magnetization calculation formula; wherein the specific bias magnetization calculation formula is as follows:

[0024] ;

[0025] In the formula, K is the bias magnetization coefficient. The increment of the odd harmonic vibration acceleration signal, the This represents the vibration acceleration increment at a frequency of 100Hz.

[0026] As an improvement to the above scheme, the step of comparing the bias coefficient with a preset bias evaluation range to obtain the bias degree of the target transformer specifically involves:

[0027] The preset biased magnetization evaluation range includes: a first biased magnetization range, a second biased magnetization range, a third biased magnetization range, a fourth biased magnetization range, and a fifth biased magnetization range; the degree of biased magnetization includes: a first degree of biased magnetization, a second degree of biased magnetization, a third degree of biased magnetization, a fourth degree of biased magnetization, and 0.

[0028] The bias coefficient is compared with a preset bias evaluation range: when the bias coefficient is within a first bias range, a first bias degree is obtained; when the bias coefficient is within a second bias range, a second bias degree is obtained; when the bias coefficient is within a third bias range, a third bias degree is obtained; when the bias coefficient is within a fourth bias range, a fourth bias degree is obtained; when the bias coefficient is within a fifth bias range, a bias degree of 0 is obtained; wherein, the bias degree includes: the first bias degree, the second bias degree, the third bias degree, and the fourth bias degree.

[0029] As an improvement to the above solution, the step of acquiring the vibration signal of the target transformer and analyzing it to obtain several sets of vibration amplitude data corresponding to the vibration signal specifically involves:

[0030] Receive vibration acceleration signals of a target transformer acquired by a vibration sensor; wherein the vibration signal includes the vibration acceleration signal;

[0031] The vibration acceleration signal is decomposed in the time domain to obtain the frequency domain waveform of the target transformer.

[0032] Based on the frequency domain waveform, several sets of vibration acceleration signal amplitudes corresponding to preset vibration frequency ranges are extracted.

[0033] As an improvement to the above solution, the step of acquiring the vibration signal of the target transformer and analyzing it to obtain several sets of vibration amplitude data corresponding to the vibration signal further includes:

[0034] Receive several vibration acceleration signals of a target transformer collected by several vibration sensors; wherein, the vibration signals include the several vibration acceleration signals;

[0035] Each vibration acceleration signal is subjected to Fourier decomposition in the time domain to obtain several frequency domain waveforms of the target transformer;

[0036] Several sets of vibration acceleration signal amplitudes corresponding to each frequency domain waveform are extracted. Within a preset vibration frequency range, the amplitudes of each set of vibration acceleration signals corresponding to the several frequency domain waveforms are substituted into the averaging formula to calculate the vibration acceleration signal amplitudes corresponding to the preset vibration frequency range. Specifically, the averaging formula is as follows:

[0037] ;

[0038] In the formula, This represents a set of vibration acceleration signal amplitudes at a frequency of nHz. Let m be the amplitude of a set of vibration acceleration signals corresponding to the m-th vibration sensor at a frequency of nHz, where m is the number of vibration sensors.

[0039] Accordingly, one embodiment of the present invention also provides a transformer DC bias monitoring device, including: a data acquisition module, a first data calculation module, a second data calculation module and a result generation module;

[0040] The data acquisition module is used to acquire the vibration signal of the target transformer and analyze it to obtain several sets of vibration amplitude data corresponding to the vibration signal.

[0041] The first data calculation module is used to acquire several sets of vibration standard data of the target transformer, and calculate several sets of vibration increment data of the target transformer based on the several sets of vibration amplitude data and the several sets of vibration standard data; wherein, each set of vibration amplitude data corresponds one-to-one with each set of vibration standard data.

[0042] The second data calculation module is used to substitute the several sets of vibration increment data into the bias magnetization calculation formula to calculate the bias magnetization coefficient of the target transformer.

[0043] The result generation module is used to compare the bias coefficient with a preset bias evaluation range to obtain the DC bias degree of the target transformer.

[0044] As an improvement to the above solution, it further includes: a third data calculation module; the third data calculation module is used to substitute the several sets of vibration amplitude data into the harmonic distortion rate calculation formula to calculate the harmonic distortion rate of the target transformer; wherein, the harmonic distortion rate calculation formula is as follows:

[0045] ;

[0046] In the formula, THD is the harmonic distortion rate; A n This refers to a set of vibration acceleration signal amplitudes at a frequency of nHz; the vibration amplitude data includes the vibration acceleration signal amplitudes.

[0047] As an improvement to the above solution, the first data calculation module includes: a first data acquisition unit, a difference calculation unit, and a data aggregation unit;

[0048] The first data acquisition unit is used to acquire several sets of vibration standard data of the target transformer;

[0049] The difference calculation unit is used to calculate the harmonic increment of each group of the target transformer by substituting the vibration amplitude data and the vibration standard data of the same vibration frequency into the difference calculation formula, based on the plurality of sets of vibration amplitude data and the plurality of sets of vibration standard data; wherein, the difference calculation formula is:

[0050] ;

[0051] In the formula, For harmonic increments, This represents a set of vibration acceleration signal amplitudes at a frequency of nHz. This refers to a set of vibration standard acceleration signal amplitudes at a frequency of nHz; the vibration amplitude data includes the vibration acceleration signal amplitudes, and the vibration standard data includes the vibration standard acceleration signal amplitudes.

[0052] The data aggregation unit is used to aggregate all calculated harmonic increments to obtain several sets of vibration increment data for the target transformer.

[0053] As an improvement to the above solution, the second data calculation module includes: a data extraction unit and a bias magnetic calculation unit;

[0054] The data extraction unit is used to extract the odd harmonic vibration acceleration signal increment from the plurality of sets of vibration increment data.

[0055] The bias magnetization calculation unit is used to substitute the increment of the odd-order harmonic vibration acceleration signal into the bias magnetization calculation formula to calculate the bias magnetization coefficient of the target transformer; wherein, the bias magnetization calculation formula is as follows:

[0056] ;

[0057] In the formula, K is the bias magnetization coefficient. The increment of the odd harmonic vibration acceleration signal, the This represents the vibration acceleration increment at a frequency of 100Hz.

[0058] As an improvement to the above scheme, the result generation module includes: a category unit and a comparison unit;

[0059] The category unit, used for the preset biased magnetic evaluation range, includes: a first biased magnetic range, a second biased magnetic range, a third biased magnetic range, a fourth biased magnetic range, and a fifth biased magnetic range; the degree of biased magnetic field includes: a first biased magnetic field, a second biased magnetic field, a third biased magnetic field, a fourth biased magnetic field, and 0;

[0060] The comparison unit is used to compare the bias coefficient with a preset bias evaluation range: when the bias coefficient is in a first bias range, a first bias degree is obtained; when the bias coefficient is in a second bias range, a second bias degree is obtained; when the bias coefficient is in a third bias range, a third bias degree is obtained; when the bias coefficient is in a fourth bias range, a fourth bias degree is obtained; when the bias coefficient is in a fifth bias range, a bias degree of 0 is obtained; wherein, the bias degree includes: the first bias degree, the second bias degree, the third bias degree, and the fourth bias degree.

[0061] As an improvement to the above solution, the data acquisition module includes: a first data receiving unit, a data parsing unit, and a data conversion unit;

[0062] The data receiving unit is used to receive the vibration acceleration signal of the target transformer acquired by the vibration sensor; wherein the vibration signal includes the vibration acceleration signal;

[0063] The data analysis unit is used to perform Fourier decomposition on the vibration acceleration signal in the time domain to obtain the frequency domain waveform of the target transformer.

[0064] The data extraction unit is used to extract several sets of vibration acceleration signal amplitudes corresponding to preset vibration frequency ranges based on the frequency domain waveform.

[0065] As an improvement to the above solution, the data acquisition module further includes: a second data receiving unit, a second data parsing unit, and a data averaging unit;

[0066] The second data receiving unit is used to receive several vibration acceleration signals of the target transformer collected by several vibration sensors; wherein, the vibration signals include the several vibration acceleration signals;

[0067] The second data analysis unit is used to perform Fourier decomposition on each vibration acceleration signal in the time domain to obtain several frequency domain waveforms of the target transformer.

[0068] The data averaging unit is used to extract several sets of vibration acceleration signal amplitudes corresponding to each frequency domain waveform, and within a preset vibration frequency range, substitute each set of vibration acceleration signal amplitudes corresponding to the several frequency domain waveforms into the averaging calculation formula to calculate several sets of vibration acceleration signal amplitudes corresponding to the preset vibration frequency range; wherein, the averaging calculation formula is specifically as follows:

[0069] ;

[0070] In the formula, This represents a set of vibration acceleration signal amplitudes at a frequency of nHz. Let m be the amplitude of a set of vibration acceleration signals corresponding to the m-th vibration sensor at a frequency of nHz, where m is the number of vibration sensors.

[0071] Accordingly, one embodiment of the present invention also provides a computer terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor executes the computer program to implement a transformer DC bias monitoring method as described in the present invention.

[0072] Accordingly, one embodiment of the present invention also provides a computer-readable storage medium, the computer-readable storage medium including a stored computer program, wherein, when the computer program is executed, it controls the device where the computer-readable storage medium is located to perform a transformer DC bias monitoring method as described in the present invention.

[0073] As can be seen from the above, the present invention has the following beneficial effects:

[0074] This invention provides a method for monitoring DC bias in transformers. By analyzing the vibration signal of a target transformer, average vibration data is obtained. Based on this average vibration data and standard vibration data, vibration increment data is calculated. This increment data is then substituted into a bias calculation formula to obtain the bias coefficient. Finally, by comparing the bias coefficient with a preset bias evaluation range, the degree of DC bias in the target transformer is determined, thus achieving the monitoring of DC bias in transformers. This invention, based on the vibration signal of the target transformer and analyzing the vibration increment data, uses this data to calculate and evaluate bias, reducing errors caused by environmental factors affecting vibration amplitude and improving the accuracy of DC bias monitoring in transformers. Attached Figure Description

[0075] Figure 1 This is a flowchart illustrating a transformer DC bias monitoring method according to an embodiment of the present invention.

[0076] Figure 2 This is a schematic diagram of the structure of a transformer DC bias monitoring device provided in an embodiment of the present invention;

[0077] Figure 3 This is a schematic diagram of the installation position of a vibration sensor according to an embodiment of the present invention;

[0078] Figure 4 This is a schematic diagram of the structure of a transformer DC bias monitoring system provided in an embodiment of the present invention;

[0079] Figure 5 This is a schematic diagram of a terminal device structure provided in an embodiment of the present invention. Detailed Implementation

[0080] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0081] Example 1

[0082] See Figure 1 , Figure 1 This is a flowchart illustrating a method for monitoring DC bias in a transformer according to an embodiment of the present invention. Figure 1 As shown, this embodiment includes steps 101 to 104, and the specific steps are as follows:

[0083] Step 101: Obtain the vibration signal of the target transformer and analyze it to obtain several sets of vibration amplitude data corresponding to the vibration signal.

[0084] As an improvement to this embodiment, the step of acquiring the vibration signal of the target transformer and analyzing it to obtain several sets of vibration amplitude data corresponding to the vibration signal specifically involves:

[0085] Receive vibration acceleration signals of a target transformer acquired by a vibration sensor; wherein the vibration signal includes the vibration acceleration signal;

[0086] The vibration acceleration signal is decomposed in the time domain to obtain the frequency domain waveform of the target transformer.

[0087] Based on the frequency domain waveform, several sets of vibration acceleration signal amplitudes corresponding to preset vibration frequency ranges are extracted.

[0088] As an improvement to this embodiment, the step of acquiring the vibration signal of the target transformer and analyzing it to obtain several sets of vibration amplitude data corresponding to the vibration signal further includes:

[0089] Receive several vibration acceleration signals of a target transformer collected by several vibration sensors; wherein, the vibration signals include the several vibration acceleration signals;

[0090] Each vibration acceleration signal is subjected to Fourier decomposition in the time domain to obtain several frequency domain waveforms of the target transformer;

[0091] Several sets of vibration acceleration signal amplitudes corresponding to each frequency domain waveform are extracted. Within a preset vibration frequency range, the amplitudes of each set of vibration acceleration signals corresponding to the several frequency domain waveforms are substituted into the averaging formula to calculate the vibration acceleration signal amplitudes corresponding to the preset vibration frequency range. Specifically, the averaging formula is as follows:

[0092] ;

[0093] In the formula, This represents a set of vibration acceleration signal amplitudes at a frequency of nHz. Let m be the amplitude of a set of vibration acceleration signals corresponding to the m-th vibration sensor at a frequency of nHz, where m is the number of vibration sensors.

[0094] In this embodiment, the vibration sensor collects vibration data of the target transformer, performs Fourier decomposition on the vibration data to generate frequency domain waveforms, and extracts the vibration acceleration signal amplitude from 50Hz to 500Hz.

[0095] In one specific embodiment, since the DC bias phenomenon of the transformer will cause the winding and core to vibrate, real-time monitoring of the transformer core and winding itself is generally not possible. However, by measuring the vibration of the transformer tank, the vibration of the winding and core can be reflected to a certain extent.

[0096] The vibration signal of the transformer under DC bias was collected by collecting data from the surface of the oil tank: the sensors were set at 1 / 4, 2 / 4 and 3 / 4 of the bottom of the long side of the oil tank. The placement of these three sensors was far away from the reinforcing rib structure to reduce the influence of the nonlinearity of the tank structure. In order to obtain the vibration data of the transformer core winding more accurately, the average value of the vibration amplitude and spectrum at these three measuring points was used to characterize the vibration of the transformer.

[0097] Three sensors obtained three sets of vibration acceleration signal amplitudes. A n1 , A n2 , A n3 Substitute into the mean calculation formula:

[0098] ;

[0099] In the formula, A n The amplitude of the vibration acceleration signal at a frequency of nHz.

[0100] In one specific embodiment, for a better illustration of the sensor's mounting location, please refer to [link to relevant documentation]. Figure 3 This includes: target transformer-related components 301 and vibration transformer 302;

[0101] Among them, the target transformer related component 301 can be an oil tank.

[0102] In one specific embodiment, the sampling frequency for the vibration sensor to collect transformer vibration data can be set to three minutes. Since it is necessary to obtain vibration acceleration signals of 50Hz-500Hz, the sampling frequency must be at least twice that of 500Hz.

[0103] Preferably, the sampling frequency in this embodiment is 2kHz.

[0104] In one specific embodiment, the vibration sensor can be an LC0166T piezoelectric accelerometer.

[0105] Step 102: Obtain several sets of vibration standard data for the target transformer, and calculate several sets of vibration increment data for the target transformer based on the several sets of vibration amplitude data and the several sets of vibration standard data; wherein, each set of vibration amplitude data corresponds one-to-one with each set of vibration standard data.

[0106] As an improvement to this embodiment, the step of acquiring several sets of vibration standard data of the target transformer, and calculating several sets of vibration increment data of the target transformer based on the several sets of vibration amplitude data and the several sets of vibration standard data, specifically involves:

[0107] Acquire several sets of vibration standard data for the target transformer;

[0108] Based on the aforementioned sets of vibration amplitude data and the aforementioned sets of vibration standard data, each set of vibration amplitude data and each set of vibration standard data at the same vibration frequency is substituted into the difference calculation formula to calculate the harmonic increment of each set of the target transformer; wherein, the difference calculation formula is:

[0109] ;

[0110] In the formula, For harmonic increments, This represents a set of vibration acceleration signal amplitudes at a frequency of nHz. This refers to a set of vibration standard acceleration signal amplitudes at a frequency of nHz; the vibration amplitude data includes the vibration acceleration signal amplitudes, and the vibration standard data includes the vibration standard acceleration signal amplitudes.

[0111] By summing up all the calculated harmonic increments, several sets of vibration increment data for the target transformer are obtained.

[0112] In this embodiment, the amplitude of the standard vibration acceleration signal (i.e., vibration standard data) of the transformer under normal operating conditions is obtained. The difference between the calculated amplitude of the vibration acceleration signal and the amplitude of the standard vibration acceleration signal is calculated to obtain the harmonic increment. The calculated harmonic increments are then summarized to obtain the vibration increment data.

[0113] Step 103: Substitute the several sets of vibration increment data into the bias magnetization calculation formula to calculate the bias magnetization coefficient of the target transformer.

[0114] As an improvement to this embodiment, the step of substituting the several sets of vibration increment data into the bias magnetization calculation formula to calculate the bias magnetization coefficient of the target transformer is specifically as follows:

[0115] From the aforementioned sets of vibration increment data, the increments of odd harmonic vibration acceleration signals are extracted.

[0116] The bias magnetization coefficient of the target transformer is calculated by substituting the incremental odd-harmonic vibration acceleration signal into the bias magnetization calculation formula; wherein the specific bias magnetization calculation formula is as follows:

[0117] ;

[0118] In the formula, K is the bias magnetization coefficient. The increment of the odd harmonic vibration acceleration signal, the This represents the vibration acceleration increment at a frequency of 100Hz.

[0119] In this embodiment, when the transformer is subjected to DC bias, the harmonic components will increase. The odd harmonic components increase much faster than the even harmonic components. Therefore, the increment of the odd harmonic vibration acceleration signal is used as the numerator.

[0120] Step 104: Compare the bias coefficient with the preset bias evaluation range to obtain the DC bias degree of the target transformer.

[0121] As an improvement to this embodiment, the step of comparing the bias coefficient with a preset bias evaluation range to obtain the bias degree of the target transformer specifically involves:

[0122] The preset biased magnetization evaluation range includes: a first biased magnetization range, a second biased magnetization range, a third biased magnetization range, a fourth biased magnetization range, and a fifth biased magnetization range; the degree of biased magnetization includes: a first degree of biased magnetization, a second degree of biased magnetization, a third degree of biased magnetization, a fourth degree of biased magnetization, and 0.

[0123] The bias coefficient is compared with a preset bias evaluation range: when the bias coefficient is within a first bias range, a first bias degree is obtained; when the bias coefficient is within a second bias range, a second bias degree is obtained; when the bias coefficient is within a third bias range, a third bias degree is obtained; when the bias coefficient is within a fourth bias range, a fourth bias degree is obtained; when the bias coefficient is within a fifth bias range, a bias degree of 0 is obtained; wherein, the bias degree includes: the first bias degree, the second bias degree, the third bias degree, and the fourth bias degree.

[0124] In a specific embodiment, K is the bias coefficient. When K < 0.2 (i.e., the fifth bias range), the bias degree is 0; when 0.2 < K < 1.7 (i.e., the first bias range), the bias degree is A (i.e., the first bias degree); when 1.7 < K < 4.3 (i.e., the second bias range), the bias degree is B (i.e., the second bias degree); when 4.3 < K < 7.0 (i.e., the third bias range), the bias degree is C (i.e., the third bias degree); when K > 7.0 (i.e., the fourth bias range), the bias degree is D (i.e., the fourth bias degree); the DC bias degree increases sequentially from A to D.

[0125] As an improvement to this embodiment, it also includes:

[0126] The harmonic distortion rate of the target transformer is calculated by substituting the aforementioned sets of vibration amplitude data into the harmonic distortion rate calculation formula; wherein the harmonic distortion rate calculation formula is as follows:

[0127] ;

[0128] In the formula, THD is the harmonic distortion rate; A n This refers to a set of vibration acceleration signal amplitudes at a frequency of nHz; the vibration amplitude data includes the vibration acceleration signal amplitudes.

[0129] In one specific embodiment, the harmonic distortion rate increases with the increase of DC current. However, when the DC current increases to a certain value, the harmonic distortion rate reaches a peak, and further increases in DC current will actually decrease the harmonic distortion rate. By calculating the THD at each sampling time, the increase and decrease of the THD value are observed to observe the changing trend of the DC bias.

[0130] In one specific embodiment, vibration signals of the target transformer are collected every three minutes via a vibration transformer. Based on the DC bias monitoring method for transformers used in this invention, the vibration signals are analyzed and calculated. Real-time monitoring of the DC bias of the target transformer is achieved by obtaining the degree of bias and harmonic distortion rate.

[0131] See Figure 4 , Figure 4 A schematic diagram of a transformer DC bias monitoring system provided in an embodiment of the invention includes: a target transformer 401, a vibration sensor 402, and a user terminal 403; the target transformer 401 and the vibration sensor 402 are connected, and the user terminal 403 is connected to the vibration sensor 402; the user terminal 403 is used in a transformer DC bias monitoring method as described in the present invention.

[0132] This embodiment analyzes the acquired vibration signal of the target transformer to obtain the average vibration data. Based on the average vibration data and standard vibration data, it calculates the vibration increment data of the target transformer. The vibration increment data is then substituted into the bias magnetization calculation formula to calculate the bias magnetization coefficient. Finally, by comparing the bias magnetization coefficient with a preset bias magnetization evaluation range, the DC bias magnetization degree of the target transformer is obtained, thus realizing the monitoring of transformer DC bias magnetization. This embodiment can not only determine the DC bias magnetization phenomenon and calculate the DC bias magnetization degree based on the vibration deceleration signal increment, but also monitor the DC bias magnetization change trend through harmonic distortion rate, greatly improving the accuracy of DC bias magnetization degree calculation.

[0133] Example 2

[0134] See Figure 2 , Figure 2This is a schematic diagram of the structure of a transformer DC bias monitoring device according to an embodiment of the present invention, including: a data acquisition module 201, a first data calculation module 202, a second data calculation module 203, and a result generation module 204;

[0135] The data acquisition module 201 is used to acquire the vibration signal of the target transformer and analyze it to obtain several sets of vibration amplitude data corresponding to the vibration signal.

[0136] The first data calculation module 202 is used to acquire several sets of vibration standard data of the target transformer, and calculate several sets of vibration increment data of the target transformer based on the several sets of vibration amplitude data and the several sets of vibration standard data; wherein, each set of vibration amplitude data corresponds one-to-one with each set of vibration standard data.

[0137] The second data calculation module 203 is used to substitute the several sets of vibration increment data into the bias magnetization calculation formula to calculate the bias magnetization coefficient of the target transformer.

[0138] The result generation module 204 is used to compare the bias coefficient with a preset bias evaluation range to obtain the DC bias degree of the target transformer.

[0139] As an improvement to the above solution, it further includes: a third data calculation module 205; the third data calculation module 205 is used to substitute the plurality of sets of vibration amplitude data into the harmonic distortion rate calculation formula to calculate the harmonic distortion rate of the target transformer; wherein, the harmonic distortion rate calculation formula is as follows:

[0140] ;

[0141] In the formula, THD is the harmonic distortion rate; A n This refers to a set of vibration acceleration signal amplitudes at a frequency of nHz; the vibration amplitude data includes the vibration acceleration signal amplitudes.

[0142] As an improvement to the above solution, the first data calculation module 202 includes: a first data acquisition unit, a difference calculation unit, and a data aggregation unit;

[0143] The first data acquisition unit is used to acquire several sets of vibration standard data of the target transformer;

[0144] The difference calculation unit is used to calculate the harmonic increment of each group of the target transformer by substituting the vibration amplitude data and the vibration standard data of the same vibration frequency into the difference calculation formula, based on the plurality of sets of vibration amplitude data and the plurality of sets of vibration standard data; wherein, the difference calculation formula is:

[0145] ;

[0146] In the formula, For harmonic increments, This represents a set of vibration acceleration signal amplitudes at a frequency of nHz. This refers to a set of vibration standard acceleration signal amplitudes at a frequency of nHz; the vibration amplitude data includes the vibration acceleration signal amplitudes, and the vibration standard data includes the vibration standard acceleration signal amplitudes.

[0147] The data aggregation unit is used to aggregate all calculated harmonic increments to obtain several sets of vibration increment data for the target transformer.

[0148] As an improvement to the above solution, the second data calculation module 203 includes: a data extraction unit and a bias magnetic calculation unit;

[0149] The data extraction unit is used to extract the odd harmonic vibration acceleration signal increment from the plurality of sets of vibration increment data.

[0150] The bias magnetization calculation unit is used to substitute the increment of the odd-order harmonic vibration acceleration signal into the bias magnetization calculation formula to calculate the bias magnetization coefficient of the target transformer; wherein, the bias magnetization calculation formula is as follows:

[0151] ;

[0152] In the formula, K is the bias magnetization coefficient. The increment of the odd harmonic vibration acceleration signal, the This represents the vibration acceleration increment at a frequency of 100Hz.

[0153] As an improvement to the above scheme, the result generation module 204 includes: a category unit and a comparison unit;

[0154] The category unit, used for the preset biased magnetic evaluation range, includes: a first biased magnetic range, a second biased magnetic range, a third biased magnetic range, a fourth biased magnetic range, and a fifth biased magnetic range; the degree of biased magnetic field includes: a first biased magnetic field, a second biased magnetic field, a third biased magnetic field, a fourth biased magnetic field, and 0;

[0155] The comparison unit is used to compare the bias coefficient with a preset bias evaluation range: when the bias coefficient is in a first bias range, a first bias degree is obtained; when the bias coefficient is in a second bias range, a second bias degree is obtained; when the bias coefficient is in a third bias range, a third bias degree is obtained; when the bias coefficient is in a fourth bias range, a fourth bias degree is obtained; when the bias coefficient is in a fifth bias range, a bias degree of 0 is obtained; wherein, the bias degree includes: the first bias degree, the second bias degree, the third bias degree, and the fourth bias degree.

[0156] As an improvement to the above solution, the data acquisition module 201 includes: a first data receiving unit, a data parsing unit, and a data conversion unit;

[0157] The data receiving unit is used to receive the vibration acceleration signal of the target transformer acquired by the vibration sensor; wherein the vibration signal includes the vibration acceleration signal;

[0158] The data analysis unit is used to perform Fourier decomposition on the vibration acceleration signal in the time domain to obtain the frequency domain waveform of the target transformer.

[0159] The data extraction unit is used to extract several sets of vibration acceleration signal amplitudes corresponding to preset vibration frequency ranges based on the frequency domain waveform.

[0160] As an improvement to the above solution, the data acquisition module 201 further includes: a second data receiving unit, a second data parsing unit, and a data averaging unit;

[0161] The second data receiving unit is used to receive several vibration acceleration signals of the target transformer collected by several vibration sensors; wherein, the vibration signals include the several vibration acceleration signals;

[0162] The second data analysis unit is used to perform Fourier decomposition on each vibration acceleration signal in the time domain to obtain several frequency domain waveforms of the target transformer.

[0163] The data averaging unit is used to extract several sets of vibration acceleration signal amplitudes corresponding to each frequency domain waveform, and within a preset vibration frequency range, substitute each set of vibration acceleration signal amplitudes corresponding to the several frequency domain waveforms into the averaging calculation formula to calculate several sets of vibration acceleration signal amplitudes corresponding to the preset vibration frequency range; wherein, the averaging calculation formula is specifically as follows:

[0164] ;

[0165] In the formula, This represents a set of vibration acceleration signal amplitudes at a frequency of nHz. Let m be the amplitude of a set of vibration acceleration signals corresponding to the m-th vibration sensor at a frequency of nHz, where m is the number of vibration sensors.

[0166] This embodiment acquires the vibration signal of the target transformer through a data acquisition module and analyzes it to obtain vibration amplitude data. A first data calculation module calculates the vibration amplitude data to obtain vibration increment data, and a second data calculation module calculates the vibration increment data to obtain the bias magnetization coefficient. Finally, a result generation module compares the bias magnetization coefficient with a preset bias magnetization evaluation range to obtain the DC bias magnetization degree of the target transformer, thus realizing the monitoring of the transformer's DC bias magnetization. This embodiment, based on the vibration signal of the target transformer, analyzes and obtains vibration increment data, and uses the vibration increment data for bias magnetization calculation and evaluation. This reduces the error caused by environmental factors affecting the vibration amplitude and improves the accuracy of transformer DC bias magnetization monitoring.

[0167] Example 3

[0168] See Figure 5 , Figure 5 This is a schematic diagram of the terminal device structure provided in an embodiment of the present invention.

[0169] One terminal device in this embodiment includes: a processor 501, a memory 502, and a computer program stored in the memory 502 and executable on the processor 501. When the processor 501 executes the computer program, it implements the steps of the various transformer DC bias monitoring methods described above in the embodiments, for example... Figure 1 All steps of the transformer DC bias monitoring method shown. Alternatively, when the processor executes the computer program, it implements the functions of each module in the above-described device embodiments, for example: Figure 2 All modules of the transformer DC bias monitoring device are shown.

[0170] In addition, embodiments of the present invention also provide a computer-readable storage medium, the computer-readable storage medium including a stored computer program, wherein, when the computer program is executed, it controls the device where the computer-readable storage medium is located to perform the transformer DC bias monitoring method as described in any of the above embodiments.

[0171] Those skilled in the art will understand that the schematic diagram is merely an example of a terminal device and does not constitute a limitation on the terminal device. It may include more or fewer components than shown in the diagram, or combine certain components, or different components. For example, the terminal device may also include input / output devices, network access devices, buses, etc.

[0172] The processor 501 may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor. The processor 501 is the control center of the terminal device, connecting various parts of the terminal device through various interfaces and lines.

[0173] The memory 502 can be used to store the computer programs and / or modules. The processor 501 implements various functions of the terminal device by running or executing the computer programs and / or modules stored in the memory and calling the data stored in the memory 502. The memory 502 may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created according to the use of the mobile phone (such as audio data, phonebook, etc.). In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0174] Wherein, if the modules / units integrated in the terminal device are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc.

[0175] It should be noted that the device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Furthermore, in the accompanying drawings of the device embodiments provided by this invention, the connection relationships between modules indicate that they have communication connections, which can be specifically implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement this without any creative effort.

[0176] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for monitoring DC bias magnetism in a transformer, characterized in that, include: The vibration signal of the target transformer is acquired, and several sets of vibration amplitude data corresponding to the vibration signal are analyzed. Several sets of vibration standard data of the target transformer are obtained, and several sets of vibration increment data of the target transformer are calculated based on the several sets of vibration amplitude data and the several sets of vibration standard data; wherein, each set of vibration amplitude data corresponds one-to-one with each set of vibration standard data. Substitute the aforementioned sets of vibration increment data into the bias magnetization calculation formula to calculate the bias magnetization coefficient of the target transformer. By comparing the bias coefficient with a preset bias evaluation range, the DC bias degree of the target transformer is obtained; The step of substituting the several sets of vibration increment data into the bias magnetization calculation formula to calculate the bias magnetization coefficient of the target transformer is as follows: From the aforementioned sets of vibration increment data, the increments of odd harmonic vibration acceleration signals are extracted. The bias magnetization coefficient of the target transformer is calculated by substituting the incremental odd-harmonic vibration acceleration signal into the bias magnetization calculation formula; wherein the specific bias magnetization calculation formula is as follows: ； In the formula, K is the bias magnetization coefficient. The increment of the odd harmonic vibration acceleration signal, the This represents the vibration acceleration increment at a frequency of 100Hz.

2. The transformer DC bias monitoring method according to claim 1, characterized in that, Also includes: The harmonic distortion rate of the target transformer is calculated by substituting the aforementioned sets of vibration amplitude data into the harmonic distortion rate calculation formula; wherein the harmonic distortion rate calculation formula is as follows: ； In the formula, THD is the harmonic distortion rate; A n This refers to a set of vibration acceleration signal amplitudes at a frequency of nHz; the vibration amplitude data includes the vibration acceleration signal amplitudes.

3. The transformer DC bias monitoring method according to claim 2, characterized in that, The process of acquiring several sets of vibration standard data for the target transformer, and calculating several sets of vibration increment data for the target transformer based on the several sets of vibration amplitude data and the several sets of vibration standard data, specifically involves: Acquire several sets of vibration standard data for the target transformer; Based on the aforementioned sets of vibration amplitude data and the aforementioned sets of vibration standard data, each set of vibration amplitude data and each set of vibration standard data at the same vibration frequency is substituted into the difference calculation formula to calculate the harmonic increment of each set of the target transformer; wherein, the difference calculation formula is: ； In the formula, For harmonic increments, This represents a set of vibration acceleration signal amplitudes at a frequency of nHz. This refers to a set of vibration standard acceleration signal amplitudes at a frequency of nHz; the vibration amplitude data includes the vibration acceleration signal amplitudes, and the vibration standard data includes the vibration standard acceleration signal amplitudes. By summing up all the calculated harmonic increments, several sets of vibration increment data for the target transformer are obtained.

4. The transformer DC bias monitoring method according to claim 2, characterized in that, The process of comparing the bias coefficient with a preset bias evaluation range to obtain the degree of bias of the target transformer specifically involves: The preset biased magnetization evaluation range includes: a first biased magnetization range, a second biased magnetization range, a third biased magnetization range, a fourth biased magnetization range, and a fifth biased magnetization range; the degree of biased magnetization includes: a first degree of biased magnetization, a second degree of biased magnetization, a third degree of biased magnetization, a fourth degree of biased magnetization, and 0. The bias coefficient is compared with a preset bias evaluation range: when the bias coefficient is within a first bias range, a first bias degree is obtained; when the bias coefficient is within a second bias range, a second bias degree is obtained; when the bias coefficient is within a third bias range, a third bias degree is obtained; when the bias coefficient is within a fourth bias range, a fourth bias degree is obtained; when the bias coefficient is within a fifth bias range, a bias degree of 0 is obtained; wherein, the bias degree includes: the first bias degree, the second bias degree, the third bias degree, and the fourth bias degree.

5. The transformer DC bias monitoring method according to claim 2, characterized in that, The process of acquiring the vibration signal of the target transformer and analyzing it to obtain several sets of vibration amplitude data corresponding to the vibration signal specifically involves: Receive vibration acceleration signals of a target transformer acquired by a vibration sensor; wherein the vibration signal includes the vibration acceleration signal; The vibration acceleration signal is decomposed in the time domain to obtain the frequency domain waveform of the target transformer. Based on the frequency domain waveform, several sets of vibration acceleration signal amplitudes corresponding to preset vibration frequency ranges are extracted.

6. The method for monitoring DC bias of a transformer according to claim 2, characterized in that, The process of acquiring the vibration signal of the target transformer and analyzing it to obtain several sets of vibration amplitude data corresponding to the vibration signal further includes: Receive several vibration acceleration signals of a target transformer collected by several vibration sensors; wherein, the vibration signals include the several vibration acceleration signals; Each vibration acceleration signal is subjected to Fourier decomposition in the time domain to obtain several frequency domain waveforms of the target transformer; Several sets of vibration acceleration signal amplitudes corresponding to each frequency domain waveform are extracted. Within a preset vibration frequency range, the amplitudes of each set of vibration acceleration signals corresponding to the several frequency domain waveforms are substituted into the averaging formula to calculate the vibration acceleration signal amplitudes corresponding to the preset vibration frequency range. Specifically, the averaging formula is as follows: ； In the formula, This represents a set of vibration acceleration signal amplitudes at a frequency of nHz. Let m be the amplitude of a set of vibration acceleration signals corresponding to the m-th vibration sensor at a frequency of nHz, where m is the number of vibration sensors.

7. A transformer DC bias monitoring device, characterized in that, include: The system comprises a data acquisition module, a first data calculation module, a second data calculation module, and a result generation module. The data acquisition module is used to acquire the vibration signal of the target transformer and analyze it to obtain several sets of vibration amplitude data corresponding to the vibration signal. The first data calculation module is used to acquire several sets of vibration standard data of the target transformer, and calculate several sets of vibration increment data of the target transformer based on the several sets of vibration amplitude data and the several sets of vibration standard data; wherein, each set of vibration amplitude data corresponds one-to-one with each set of vibration standard data. The second data calculation module is used to substitute the plurality of sets of vibration increment data into the bias magnetization calculation formula to calculate the bias magnetization coefficient of the target transformer. Specifically, substituting the plurality of sets of vibration increment data into the bias magnetization calculation formula to calculate the bias magnetization coefficient of the target transformer involves: extracting the odd-order harmonic vibration acceleration signal increment from the plurality of sets of vibration increment data; substituting the odd-order harmonic vibration acceleration signal increment into the bias magnetization calculation formula to calculate the bias magnetization coefficient of the target transformer; wherein the bias magnetization calculation formula is as follows: In the formula, K is the bias magnetization coefficient. The increment of the odd harmonic vibration acceleration signal, the This represents the increment of vibration acceleration at a frequency of 100Hz. The result generation module is used to compare the bias coefficient with a preset bias evaluation range to obtain the DC bias degree of the target transformer.

8. A computer terminal device, characterized in that, The device includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor, when executing the computer program, implements a transformer DC bias monitoring method as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored computer program, wherein, when the computer program is executed, it controls the device where the computer-readable storage medium is located to perform a transformer DC bias monitoring method as described in any one of claims 1 to 6.

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