Partial discharge detection method and device based on discharge spectrum chromaticity

Abstract

The invention discloses a partial discharge detection method and device based on discharge spectrum chromaticity, and belongs to the technical field of power systems, and the method comprises the steps: collecting a plurality of discharge optical signals of switch cabinet equipment; for each discharge optical signal, carrying out chromaticity analysis on the RGB monochromatic light signal, and respectively calculating color chaos degree, spectrum color gamut deviation degree, spectrum chromaticity dynamic coupling parameters and hue purity ratio; calculating a chromaticity difference weight based on the full-band optical signal and the RGB monochromatic light signal; performing weighted integration on the color chaos degree, the spectrum color gamut deviation degree, the spectrum chromaticity dynamic coupling parameter and the hue purity ratio based on the chromaticity difference weight to obtain a chromaticity comprehensive magnitude; calculating the mean value of the comprehensive chromaticity values of the plurality of discharge optical signals; and comparing the chromaticity comprehensive magnitude mean value with the plurality of judgment chromaticity ranges, and determining a discharge type detection result of the switch cabinet equipment. According to the invention, the problem of low accuracy of partial discharge detection in the prior art can be solved.

Description

Technical Field

[0001] This invention relates to the field of power system technology, and in particular to a method and apparatus for detecting partial discharge based on discharge spectrum colorimetry. Background Technology

[0002] Partial discharge in power systems is accompanied by phenomena of current, electromagnetic radiation, sound waves, and light radiation. Based on these physical phenomena, existing methods for detecting partial discharge include pulsed current method, ultra-high frequency method (UHF), transient ground voltage method (TEV), and ultrasonic detection method. The pulsed current method, ultra-high frequency method, and transient ground voltage method analyze the type of partial discharge by acquiring electrical signals, while the ultrasonic detection method analyzes the type of partial discharge by acquiring mechanical wave signals.

[0003] However, the correspondence between electrical signals and mechanical wave signals and discharge types is not unique. Different discharge types will produce similar electrical signal characteristics or mechanical wave signal characteristics, which makes it easy to confuse the discharge type and thus reduce the accuracy of partial discharge type detection. Summary of the Invention

[0004] This invention provides a method and apparatus for partial discharge detection based on discharge spectrum colorimetry, which can solve the problem of low accuracy in partial discharge detection in the prior art.

[0005] To address the aforementioned technical problems, this invention provides a partial discharge detection method based on discharge spectral colorimetry, comprising:

[0006] Several discharge optical signals from the switchgear equipment are collected; wherein, the collection time points of each discharge optical signal are different; the discharge optical signals include full-band optical signals and RGB monochromatic optical signals;

[0007] For each discharge optical signal, chromaticity analysis is performed on the RGB monochromatic light signal of the discharge optical signal to calculate the color chaos degree, spectral gamut deviation degree, spectral chromaticity dynamic coupling parameter and hue purity ratio respectively.

[0008] Based on the full-band optical signal and RGB monochromatic optical signal of the discharge optical signal, calculate the chromaticity difference weight;

[0009] Based on the chromaticity difference weight, the color chaos degree, the spectral gamut deviation degree, the spectral chromaticity dynamic coupling parameter and the hue purity ratio are weighted and integrated to obtain the comprehensive chromaticity value of the discharge optical signal;

[0010] The average value of the chromaticity composite value is calculated based on the chromaticity composite values ​​of several discharge optical signals.

[0011] The average value of the comprehensive colorimetric value is compared with several judgment colorimetric ranges to determine the discharge type detection result of the switchgear equipment; wherein, each judgment colorimetric range corresponds to a discharge type.

[0012] As a preferred embodiment, chromaticity analysis is performed on the RGB monochromatic light signal of the discharge optical signal to calculate the color chaos degree, including:

[0013] Based on the red light intensity, green light intensity, and blue light intensity of the RGB monochromatic light signal, calculate the energy entropy of the red light signal, the energy entropy of the green light signal, and the energy entropy of the blue light signal, respectively.

[0014] The color chaos degree is calculated based on the energy entropy of the red light signal, the energy entropy of the green light signal, and the energy entropy of the blue light signal.

[0015] As a preferred embodiment, chromaticity analysis is performed on the RGB monochromatic light signal of the discharge optical signal to calculate the spectral gamut deviation, including:

[0016] Calculate the average light intensity based on several collected RGB monochromatic light signals;

[0017] For each discharge optical signal, the spectral gamut deviation is calculated based on the average light intensity using the Euclidean distance method.

[0018] As a preferred embodiment, chromaticity analysis is performed on the RGB monochromatic light signal of the discharge optical signal to calculate the spectral chromaticity dynamic coupling parameters, including:

[0019] The pairwise difference analysis of the red light intensity, green light intensity, and blue light intensity of the discharge optical signal was performed to calculate the dynamic coupling parameters of spectral colorimetry.

[0020] The dynamic coupling parameters of spectral chromaticity are calculated using the following formula:

[0021]

[0022] In the formula, DCC i represents the spectral and chromatic dynamic coupling parameter of the i-th discharge optical signal.

[0023] As a preferred embodiment, chromaticity analysis is performed on the RGB monochromatic light signal of the discharge optical signal to calculate the hue purity ratio, including:

[0024] The maximum and minimum light intensity values ​​are determined among the red, green, and blue light intensities of the discharge optical signal.

[0025] As a preferred embodiment, the calculation of chromaticity difference weights based on the full-band optical signal and the RGB monochromatic light signal of the discharge optical signal includes:

[0026] The intensity of red light, green light, and blue light of the discharge optical signal are summed to obtain the total intensity of monochromatic light.

[0027] The intensity of the full-band optical signal is determined based on the full-band optical signal.

[0028] The ratio of the intensity of the full-band light to the sum of the intensity of the monochromatic light is determined as the chromaticity difference weight.

[0029] As a preferred embodiment, the weighted integration of the color chaos degree, the spectral gamut deviation degree, the spectral color dynamic coupling parameter, and the hue purity ratio based on the color difference weight, to obtain the comprehensive colorimetric value of the discharge optical signal, includes:

[0030] The overall colorimetric value is calculated using the following formula:

[0031] L i =[γ(CEE) i ×CDI i )+(1-γ)(DCC i ×HPR i )]×100%

[0032] In the formula, represents the chromaticity comprehensive value of the i-th discharge optical signal.

[0033] As a preferred embodiment, the step of comparing the average value of the comprehensive colorimetric value with several judgment colorimetric ranges to determine the discharge type detection result of the switchgear equipment includes:

[0034] Obtain the voltage level of the switchgear equipment;

[0035] Obtain empirical curves of chromaticity voltage corresponding to several discharge types from a preset database;

[0036] The set chromaticity range corresponding to the voltage level is obtained from each of the chromaticity voltage empirical curves and determined as the chromaticity range for judgment.

[0037] The average value of the comprehensive colorimetric value is compared with several judgment colorimetric ranges, and the discharge type corresponding to the judgment colorimetric range in which the average value of the comprehensive colorimetric value is located is determined as the discharge type detection result of the switchgear equipment.

[0038] As a preferred embodiment, the determination of the chromaticity voltage empirical curve includes:

[0039] Measure the initial discharge voltage and breakdown voltage of the experimental switchgear equipment;

[0040] Several external voltages are set; wherein the external voltage is greater than the initial discharge voltage and less than the breakdown voltage;

[0041] Based on the discharge characteristics of different discharge types, several external voltages are applied to the experimental switch cabinet equipment, and corresponding experimental discharge optical signals are collected.

[0042] Calculate the comprehensive chromaticity value of the experiment based on the experimental discharge optical signal;

[0043] Several experimental chromaticity comprehensive values ​​of the same discharge type and the applied voltage were respectively subjected to curve fitting to obtain several empirical chromaticity-voltage curves.

[0044] Accordingly, the present invention provides a partial discharge detection device based on discharge spectrum chromaticity, comprising: a signal acquisition module, a chromaticity analysis module, a weight calculation module, a weighted integration module, a mean processing module, and a discharge type determination module;

[0045] The signal acquisition module is used to acquire several discharge optical signals from the switchgear equipment; wherein, the acquisition time points of each discharge optical signal are different; the discharge optical signals include full-band optical signals and RGB monochromatic optical signals;

[0046] The colorimetric analysis module is used to perform colorimetric analysis on the RGB monochromatic light signal of each discharge optical signal, and calculate the color chaos degree, spectral gamut deviation degree, spectral colorimetric dynamic coupling parameter and hue purity ratio respectively.

[0047] The weight calculation module is used to calculate the chromaticity difference weight based on the full-band optical signal and RGB monochromatic light signal of the discharge optical signal;

[0048] The weighted integration module is used to perform weighted integration of the color chaos degree, the spectral gamut deviation degree, the spectral color dynamic coupling parameter and the hue purity ratio based on the color difference weight, so as to obtain the comprehensive color value of the discharge optical signal.

[0049] The mean value processing module is used to calculate the mean value of the chromaticity comprehensive value based on the chromaticity comprehensive value of several discharge optical signals;

[0050] The discharge type determination module is used to compare the average value of the comprehensive colorimetric value with several judgment colorimetric ranges to determine the discharge type detection result of the switchgear equipment; wherein, each judgment colorimetric range corresponds to a discharge type.

[0051] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0052] This invention provides a partial discharge detection method based on discharge spectrum chromaticity. The method involves acquiring multiple discharge optical signals from a switchgear device. For each discharge optical signal, chromaticity analysis is performed on the RGB monochromatic light signal, calculating color chaos, spectral gamut deviation, spectral chromaticity dynamic coupling parameters, and hue purity ratio. Based on the full-band light signal and the RGB monochromatic light signal, chromaticity difference weights are calculated. Based on these weights, the color chaos, spectral gamut deviation, spectral chromaticity dynamic coupling parameters, and hue purity ratio are weighted and integrated to obtain a comprehensive chromaticity value. The average of the comprehensive chromaticity values ​​from multiple discharge optical signals is calculated. The average of the comprehensive chromaticity values ​​is compared with several judgment chromaticity ranges to determine the discharge type detection result of the switchgear device. This invention performs chromaticity analysis on the collected discharge optical signals. Since the chromaticity of the optical signal is a direct manifestation of molecular excitation during the discharge process, the chromaticity differences between different discharge types are more obvious compared to electrical signals and mechanical wave signals. Therefore, the discharge type can be determined based on four chromaticity indicators obtained through chromaticity analysis: color chaos degree, spectral gamut deviation degree, spectral chromaticity dynamic coupling parameter, and hue purity ratio. This can effectively improve the accuracy of partial discharge detection. Attached Figure Description

[0053] To more clearly illustrate the technical solution of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0054] Figure 1 This is a schematic flowchart of an embodiment of the partial discharge detection method based on discharge spectrum colorimetry provided by the present invention.

[0055] Figure 2 A schematic diagram of the chromaticity voltage empirical curve provided by the present invention;

[0056] Figure 3 This is a schematic diagram of an embodiment of the partial discharge detection device based on discharge spectrum colorimetry provided by the present invention. Detailed Implementation

[0057] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0058] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application; the terms “comprising” and “having”, and any variations thereof, in the specification, claims, and foregoing description of the drawings are intended to cover non-exclusive inclusion.

[0059] In the description of the embodiments of this application, technical terms such as "first" and "second" are used only to distinguish different objects and should not be construed as indicating or implying relative importance or implicitly specifying the number, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, "multiple" means two or more, unless otherwise explicitly defined.

[0060] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0061] In the description of the embodiments in this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0062] In the description of the embodiments of this application, the term "multiple" refers to two or more (including two), similarly, "multiple sets" refers to two or more (including two sets), and "multiple pieces" refers to two or more (including two pieces).

[0063] In the description of the embodiments of this application, unless otherwise expressly specified and limited, technical terms such as "installation," "connection," "joining," and "fixing" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. For those skilled in the art, the specific meaning of the above terms in the embodiments of this application can be understood according to the specific circumstances.

[0064] See Figure 1To address the problem of low accuracy in partial discharge detection in existing technologies, an embodiment of the present invention provides a partial discharge detection method based on discharge spectrum chromaticity. This method includes steps 101 to 106, each step of which is detailed below:

[0065] Step 101: Collect several discharge optical signals from the switchgear equipment; wherein, the acquisition time points of each discharge optical signal are different; the discharge optical signals include full-band optical signals and RGB monochromatic optical signals.

[0066] Switchgear is a core electrical device in a power system used for power distribution, control, and protection. It enables centralized installation and management of power components such as circuit breakers, disconnectors, and instrument transformers, ensuring safe, reliable, and flexible power transmission. Partial discharge in switchgear includes floating discharge, corona discharge, and surface discharge. Partial discharge is accompanied by light radiation; therefore, detecting light signals can help detect partial discharge in switchgear.

[0067] In this embodiment of the invention, the multi-band optical sensing device can acquire discharge optical signals from switchgear equipment. The multi-band optical sensing device includes bandpass filter arrays for RGB bands and a full-band photosensitive array. The RGB monochromatic light signals (red, green, and blue monochromatic light signals) in the discharge optical signals include red, green, and blue light signals, which can be acquired by the RGB bandpass filter arrays; the full-band light signals in the discharge optical signals can be acquired by the full-band photosensitive array. The multiple discharge optical signals acquired are obtained at different acquisition time points.

[0068] In this embodiment of the invention, after acquiring the RGB monochromatic light signal, the red light signal, green light signal, and blue light signal are normalized to limit the data to [0, 1]. By unifying the data range, the influence of dimensions can be eliminated, thereby improving the accuracy of subsequent data analysis.

[0069] Step 102: For each discharge optical signal, perform chromaticity analysis on the RGB monochromatic light signal of the discharge optical signal, and calculate the color chaos degree, spectral gamut deviation degree, spectral chromaticity dynamic coupling parameter and hue purity ratio respectively.

[0070] In this embodiment of the invention, colorimetric analysis of the discharge optical signal can yield the color characteristics of the light signal, thereby distinguishing the types of partial discharge. Since color chaos directly corresponds to the stability of the discharge process, and the stability differences between different discharge types are significant, color chaos can be used to distinguish different types of partial discharge. Spectral gamut deviation is the actual spectral range of the discharge light signal. Since the light radiation of each discharge type is essentially a "specific gas molecule / insulating material energy level transition," corresponding to a unique characteristic spectrum, spectral gamut deviation can be used to distinguish different types of partial discharge. Because partial discharge may transition from one type to another, the changes in spectrum and colorimetry will change from "synchronous" to "asynchronous," causing a sharp drop in the coupling coefficient. Therefore, the spectral colorimetric dynamic coupling parameter reflects the time dimension of colorimetric analysis and can be used to distinguish different types of partial discharge. Because under different discharge conditions, the light signal may be mixed with impurities such as reflected light from the device casing and ambient visible light, leading to color feature distortion, different types of partial discharge can be distinguished by analyzing the hue purity ratio. Based on the above analysis, when performing chromaticity analysis on optical signals, the obtained color chaos degree, spectral gamut deviation degree, spectral chromaticity dynamic coupling parameter and hue purity ratio can provide quantitative chromaticity characteristics from four dimensions: disorder, matching degree, dynamism, and purity, providing accurate analytical data for partial discharge detection.

[0071] As a preferred embodiment, chromaticity analysis is performed on the RGB monochromatic light signal of the discharge optical signal to calculate the color chaos degree, including:

[0072] Based on the red light intensity, green light intensity, and blue light intensity of the RGB monochromatic light signal, calculate the energy entropy of the red light signal, the energy entropy of the green light signal, and the energy entropy of the blue light signal, respectively.

[0073] The color chaos degree is calculated based on the energy entropy of the red light signal, the energy entropy of the green light signal, and the energy entropy of the blue light signal.

[0074] The following formulas are used to calculate the energy entropy of the red light signal, the green light signal, and the blue light signal, respectively:

[0075]

[0076] In the formula, p is the energy entropy of the red light signal of the i-th discharge optical signal; Gi p is the green light signal energy entropy of the i-th discharge optical signal; Bi R is the blue light signal energy entropy of the i-th discharge optical signal; i G represents the intensity of the red light in the i-th discharge optical signal; i B is the green light intensity of the i-th discharge optical signal; i Let be the blue light intensity of the i-th discharge optical signal;

[0077] The following formula is used to calculate color chaos:

[0078]

[0079] In the formula, CEE i p represents the color chaos degree of the i-th discharge optical signal; j Let be the energy entropy of the i-th discharge optical signal, where the energy entropy is either the energy entropy of the red light signal, the energy entropy of the green light signal, or the energy entropy of the blue light signal.

[0080] In this embodiment of the invention, color chaos is a quantitative indicator describing the degree of disorder in the color distribution of a partial discharge optical signal. Color chaos characterizes the degree of uniformity in the spectral band distribution; a higher color chaos indicates a wider band coverage. Since energy entropy is essentially an indicator of the discreteness of signal energy distribution, the more dispersed and disordered the energy distribution, the higher the entropy value; the more concentrated and ordered the distribution, the lower the entropy value. Therefore, by calculating the energy entropy of the optical signal, color chaos can be further analyzed and calculated.

[0081] As a preferred embodiment, colorimetric analysis is performed on the RGB monochromatic light signal of the discharge optical signal to calculate the spectral gamut deviation, including:

[0082] Calculate the average light intensity based on several collected RGB monochromatic light signals;

[0083] For each discharge optical signal, the spectral gamut deviation is calculated based on the average light intensity using the Euclidean distance method.

[0084] The average light intensity is calculated using the following formula:

[0085]

[0086] In the formula, μ ave is the average light intensity; n is the number of discharge optical signals;

[0087] The spectral gamut deviation is calculated using the following formula:

[0088]

[0089] In the formula, CDI i Let be the spectral gamut deviation of the i-th discharge optical signal.

[0090] In this embodiment of the invention, the spectral gamut deviation is a measure of the actual spectral range of the discharge light signal, which can be calculated using the Euclidean distance between the red, green, and blue light intensities and the average light intensity. Specifically, firstly, based on all the collected RGB monochromatic light signals, the average light intensity is calculated, and this average light intensity is used as the standard spectral gamut. For each RGB monochromatic light signal, the Euclidean distance between its red, green, and blue light intensities and the average light intensity is calculated, and this distance is used as the spectral gamut deviation of that RGB monochromatic light signal.

[0091] As a preferred embodiment, chromaticity analysis is performed on the RGB monochromatic light signal of the discharge optical signal to calculate the spectral chromaticity dynamic coupling parameters, including:

[0092] The pairwise difference analysis of the red light intensity, green light intensity, and blue light intensity of the discharge optical signal was performed to calculate the dynamic coupling parameters of spectral colorimetry.

[0093] The dynamic coupling parameters of spectral chromaticity are calculated using the following formula:

[0094]

[0095] In the formula, DCC i represents the spectral and chromatic dynamic coupling parameter of the i-th discharge optical signal.

[0096] In this embodiment of the invention, the spectral-chromatic dynamic coupling parameter is used to reflect the dynamic correlation strength between the spectral distribution of the discharge light signal and the chromaticity parameter with discharge time. If the coupling coefficient is high, it indicates that the energy release is stable during the discharge process, and the changes in spectrum and chromaticity are consistent; if the coefficient is low, there may be abrupt changes in the discharge mode. Performing pairwise difference analysis on the red, green, and blue light intensities of the RGB monochromatic light signal can reflect the correlation between different monochromatic light signals, and the ratio calculation can suppress the influence of brightness, thereby highlighting the relative differences between RGB channels and improving the accuracy of the spectral-chromatic dynamic coupling parameter.

[0097] As a preferred embodiment, the RGB monochromatic light signal of the discharge optical signal is subjected to colorimetric analysis to calculate the hue purity ratio, including:

[0098] Determine the maximum and minimum light intensity values ​​among the red, green, and blue light intensities of the discharge optical signal;

[0099] The hue purity ratio is calculated based on the maximum and minimum light intensity values.

[0100] The hue purity ratio is calculated using the following formula:

[0101]

[0102] In the formula, HPR i Let be the hue purity ratio of the i-th discharge optical signal.

[0103] In this embodiment of the invention, the hue purity ratio is used to quantify the ratio of the primary hue to the heterogeneous components in the discharge light signal. By comparing the red, green, and blue light intensities of the RGB monochromatic light signal, the maximum and minimum light intensities can be determined. The maximum light intensity corresponds to the primary hue, and the minimum light intensity corresponds to the weakest hue. By calculating the difference between the two, the intensity difference between the primary hue and the heterogeneous components can be reflected. Dividing this intensity difference by the total amount of the primary hue eliminates the influence of the absolute intensity of the primary color. Therefore, by calculating the hue purity ratio using the above formula, numerical quantification enables the comparison of purity between different colors, thereby obtaining the hue purity ratio.

[0104] Step 103: Calculate the chromaticity difference weight based on the full-band optical signal and RGB monochromatic light signal of the discharge optical signal.

[0105] As a preferred embodiment, the chromaticity difference weight is calculated based on the full-band optical signal and RGB monochromatic light signal of the discharge optical signal, including:

[0106] The intensity of red light, green light, and blue light of the discharge optical signal are summed to obtain the total intensity of monochromatic light.

[0107] The intensity of the full-band optical signal is determined based on the full-band optical signal.

[0108] The ratio of the intensity of the full-band light to the sum of the intensity of the monochromatic light is determined as the chromaticity difference weight.

[0109] The chromaticity difference weight is calculated using the following formula:

[0110]

[0111] In the formula, γ is the chromaticity difference weight; R full The intensity is for the entire wavelength range.

[0112] In this embodiment of the invention, after obtaining four indicators—color chaos degree, spectral gamut deviation, spectral color dynamic coupling parameter, and hue purity ratio—through colorimetric analysis, a comprehensive colorimetric value can be formed by weighting and averaging these indicators. This value is used to determine the type of partial discharge. Dynamic weights are used for weighting, which improves the accuracy of the colorimetric analysis indicators. Therefore, the colorimetric difference weight corresponding to the current discharge optical signal can be calculated by analyzing full-band optical signals and RGB monochromatic optical signals.

[0113] Step 104: Based on the chromaticity difference weight, the color chaos degree, the spectral gamut deviation degree, the spectral chromaticity dynamic coupling parameter and the hue purity ratio are weighted and integrated to obtain the comprehensive chromaticity value of the discharge optical signal.

[0114] As a preferred embodiment, based on the chromaticity difference weight, the color chaos degree, the spectral gamut deviation degree, the spectral chromaticity dynamic coupling parameter, and the hue purity ratio are weighted and integrated to obtain the comprehensive chromaticity value of the discharge optical signal, including:

[0115] The overall colorimetric value is calculated using the following formula:

[0116] L i =[γ(CEE) i ×CDI i )+(1-γ)(DCC i ×HPR i )]×100%

[0117] In the formula, represents the chromaticity comprehensive value of the i-th discharge optical signal.

[0118] In this embodiment of the invention, after calculating the four colorimetric analysis indicators—color chaos, spectral gamut deviation, spectral chromaticity dynamic coupling parameter, and hue purity ratio—and their respective colorimetric difference weights, the color chaos and spectral gamut deviation are jointly processed, as are the spectral chromaticity dynamic coupling parameter and hue purity ratio. A weighted average is then applied based on the colorimetric difference weights to calculate the comprehensive colorimetric value. Specifically, the joint processing of color chaos and spectral gamut deviation reflects the fundamental differences in spectral proportions; the joint processing of the spectral chromaticity dynamic coupling parameter and hue purity ratio reflects the dynamic differences in spectral proportions.

[0119] Step 105: Calculate the average value of the chromaticity composite value based on the chromaticity composite values ​​of several discharge optical signals.

[0120] In this embodiment of the invention, colorimetric analysis is performed on each discharge optical signal to obtain a corresponding colorimetric comprehensive value. Therefore, colorimetric analysis is performed on all the collected discharge optical signals to obtain several corresponding colorimetric comprehensive values. The average value of these colorimetric comprehensive values ​​is taken as the parameter for determining the partial discharge type, which can reduce errors and improve detection accuracy.

[0121] Step 106: Compare the average value of the comprehensive colorimetric value with several judgment colorimetric ranges to determine the discharge type detection result of the switchgear equipment; wherein, each judgment colorimetric range corresponds to a discharge type.

[0122] In this embodiment of the invention, each type of partial discharge corresponds to a judgment chromaticity range. The average value of the comprehensive chromaticity is compared with these judgment chromaticity ranges to determine which judgment chromaticity range the average value of the comprehensive chromaticity falls into. The partial discharge type corresponding to the judgment chromaticity range to which the average value of the comprehensive chromaticity falls is determined as the discharge type detection result of the switchgear equipment.

[0123] As a preferred embodiment, the average value of the comprehensive colorimetric value is compared with several judgment colorimetric ranges to determine the discharge type detection result of the switchgear equipment, including:

[0124] Obtain the voltage level of the switchgear equipment;

[0125] Obtain empirical curves of chromaticity voltage corresponding to several discharge types from a preset database;

[0126] The set chromaticity range corresponding to the voltage level is obtained from each of the chromaticity voltage empirical curves and determined as the chromaticity range for judgment.

[0127] The average value of the comprehensive colorimetric value is compared with several judgment colorimetric ranges, and the discharge type corresponding to the judgment colorimetric range in which the average value of the comprehensive colorimetric value is located is determined as the discharge type detection result of the switchgear equipment.

[0128] In this embodiment of the invention, the chromaticity-voltage empirical curve reflects the relationship between the comprehensive chromaticity value and the voltage; therefore, each voltage corresponds to a comprehensive chromaticity value. Thus, after obtaining the voltage level of the switchgear equipment, by determining the applied voltage range of the switchgear equipment, a chromaticity range corresponding to that applied voltage range can be extracted from the chromaticity-voltage empirical curve as the determination chromaticity range for judging the discharge type of the switchgear equipment. Therefore, based on the voltage level of the switchgear equipment, multiple corresponding determination chromaticity ranges can be extracted from the chromaticity-voltage empirical curves corresponding to various discharge types. By comparing the average comprehensive chromaticity value with these determination chromaticity ranges, the discharge type detection result of the switchgear equipment can be analyzed and obtained.

[0129] As a preferred embodiment, the determination of the chromaticity voltage empirical curve includes:

[0130] Measure the initial discharge voltage and breakdown voltage of the experimental switchgear equipment;

[0131] Several external voltages are set; wherein the external voltage is greater than the initial discharge voltage and less than the breakdown voltage;

[0132] Based on the discharge characteristics of different discharge types, several external voltages are applied to the experimental switch cabinet equipment, and corresponding experimental discharge optical signals are collected.

[0133] Calculate the comprehensive chromaticity value of the experiment based on the experimental discharge optical signal;

[0134] Several experimental chromaticity comprehensive values ​​of the same discharge type and the applied voltage were respectively subjected to curve fitting to obtain several empirical chromaticity-voltage curves.

[0135] In this embodiment of the invention, the chromaticity voltage empirical curve in the preset database is obtained by conducting a chromaticity voltage correlation experiment on the experimental switchgear equipment. Conducting the chromaticity voltage correlation experiment requires first determining the initial discharge voltage and breakdown voltage of the experimental switchgear equipment, which are then used as the upper and lower limits of the applied voltage. Specifically, a gradient voltage ramp-up test is performed on the experimental switchgear equipment, increasing the test voltage uniformly and slowly. When an abnormal discharge signal is first detected, the peak voltage at this point is recorded as the abnormal discharge initiation voltage. The voltage continues to increase until flashover occurs (i.e., a sudden increase in current and insulation failure), and the voltage value at this point is recorded as the breakdown voltage.

[0136] In this embodiment of the invention, after determining the upper and lower limits of the applied voltage, multiple applied voltages are set for chromatic voltage correlation experiments. Specifically, based on the discharge characteristics of different discharge types, each time a chromatic voltage correlation experiment is conducted, the experimental switchgear equipment is adjusted to a specific discharge type. Based on this discharge type, repeated experiments are carried out using the multiple applied voltages. The experimental discharge optical signals corresponding to each applied voltage are collected, and chromaticity analysis is performed on the experimental discharge optical signals to calculate the experimental chromaticity comprehensive value. The experimental chromaticity comprehensive value is correlated with the applied voltage to fit the chromatic voltage empirical curve corresponding to that discharge type. Similarly, the same experimental procedure is performed for other discharge types to obtain chromatic voltage empirical curves corresponding to multiple discharge types.

[0137] As an example of an embodiment of the present invention, see Figure 2 This is a schematic diagram of a chromaticity voltage empirical curve provided by the present invention. The discharge types include corona discharge, surface discharge, and suspension discharge. According to the chromaticity voltage empirical curve, as the applied voltage increases, the overall chromaticity value L for all three discharge types shows an upward trend, and the three types of discharge are significantly separated. The overall chromaticity value L for corona discharge increases from 65 to 85, for surface discharge from 35 to 55, and for suspension discharge from 15 to 60. There is some overlap in the overall chromaticity value L between surface discharge and suspension discharge, but the overall chromaticity value L for surface discharge fluctuates and shows a slight decrease.

[0138] Assuming the voltage level of the switchgear equipment is 10kV, the chromaticity range for corona discharge is [70, 80], the range for surface discharge is [40, 50], and the range for floating discharge is [10, 20]. Assuming the average calculated chromaticity value of the 10kV switchgear equipment is 42%, then the average chromaticity value falls within the chromaticity range for surface discharge, therefore its discharge type is surface discharge.

[0139] Implementing the above embodiments has the following effects:

[0140] This invention provides a partial discharge detection method based on discharge spectrum chromaticity. The method involves acquiring multiple discharge optical signals from a switchgear device. For each discharge optical signal, chromaticity analysis is performed on the RGB monochromatic light signal, calculating color chaos, spectral gamut deviation, spectral chromaticity dynamic coupling parameters, and hue purity ratio. Based on the full-band light signal and the RGB monochromatic light signal, chromaticity difference weights are calculated. Based on these weights, the color chaos, spectral gamut deviation, spectral chromaticity dynamic coupling parameters, and hue purity ratio are weighted and integrated to obtain a comprehensive chromaticity value. The average of the comprehensive chromaticity values ​​from multiple discharge optical signals is calculated. The average of the comprehensive chromaticity values ​​is compared with several judgment chromaticity ranges to determine the discharge type detection result of the switchgear device. This invention performs chromaticity analysis on the collected discharge optical signals. Since the chromaticity of the optical signal is a direct manifestation of molecular excitation during the discharge process, the chromaticity differences between different discharge types are more obvious compared to electrical signals and mechanical wave signals. Therefore, the discharge type can be determined based on four chromaticity indicators obtained through chromaticity analysis: color chaos degree, spectral gamut deviation degree, spectral chromaticity dynamic coupling parameter, and hue purity ratio. This can effectively improve the accuracy of partial discharge detection.

[0141] like Figure 3 As shown, based on the above method embodiments, corresponding apparatus embodiments are provided;

[0142] An embodiment of the present invention provides a partial discharge detection device based on discharge spectrum chromaticity, comprising: a signal acquisition module, a chromaticity analysis module, a weight calculation module, a weighted integration module, a mean processing module, and a discharge type determination module;

[0143] The signal acquisition module is used to acquire several discharge optical signals from the switchgear equipment; wherein, the acquisition time points of each discharge optical signal are different; the discharge optical signals include full-band optical signals and RGB monochromatic optical signals;

[0144] The colorimetric analysis module is used to perform colorimetric analysis on the RGB monochromatic light signal of each discharge optical signal, and calculate the color chaos degree, spectral gamut deviation degree, spectral colorimetric dynamic coupling parameter and hue purity ratio respectively.

[0145] The weight calculation module is used to calculate the chromaticity difference weight based on the full-band optical signal and RGB monochromatic light signal of the discharge optical signal;

[0146] The weighted integration module is used to perform weighted integration of the color chaos degree, the spectral gamut deviation degree, the spectral color dynamic coupling parameter and the hue purity ratio based on the color difference weight, so as to obtain the comprehensive color value of the discharge optical signal.

[0147] The mean value processing module is used to calculate the mean value of the chromaticity comprehensive value based on the chromaticity comprehensive value of several discharge optical signals;

[0148] The discharge type determination module is used to compare the average value of the comprehensive colorimetric value with several judgment colorimetric ranges to determine the discharge type detection result of the switchgear equipment; wherein, each judgment colorimetric range corresponds to a discharge type.

[0149] It is understood that the above-described device embodiments correspond to the method embodiments of the present invention, and can realize the partial discharge detection method based on discharge spectrum colorimetry provided by any of the above-described method embodiments of the present invention.

[0150] It should be noted that the device embodiments described above are merely illustrative, and 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 specifically be implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement this without any creative effort.

[0151] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above descriptions are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. In particular, it should be noted that any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention for those skilled in the art.

Claims

1. A partial discharge detection method based on discharge spectrum colorimetry, characterized in that, include: Several discharge optical signals from the switchgear equipment are collected; wherein the collection time points of each discharge optical signal are different; the discharge optical signals include full-band optical signals and RGB monochromatic optical signals; For each discharge optical signal, chromaticity analysis is performed on the RGB monochromatic light signal of the discharge optical signal to calculate the color chaos degree, spectral gamut deviation degree, spectral chromaticity dynamic coupling parameter and hue purity ratio respectively; Based on the full-band optical signal and RGB monochromatic optical signal of the discharge optical signal, calculate the chromaticity difference weight; Based on the chromaticity difference weight, the color chaos degree, the spectral gamut deviation degree, the spectral chromaticity dynamic coupling parameter and the hue purity ratio are weighted and integrated to obtain the comprehensive chromaticity value of the discharge optical signal; The average value of the chromaticity composite value is calculated based on the chromaticity composite values ​​of several discharge optical signals. The average value of the comprehensive colorimetric value is compared with several judgment colorimetric ranges to determine the discharge type detection result of the switchgear equipment; wherein, each judgment colorimetric range corresponds to a discharge type.

2. The partial discharge detection method based on discharge spectrum colorimetry according to claim 1, characterized in that, Colorimetric analysis is performed on the RGB monochromatic light signal of the discharge optical signal to calculate the color chaos degree, including: Based on the red light intensity, green light intensity, and blue light intensity of the RGB monochromatic light signal, calculate the energy entropy of the red light signal, the energy entropy of the green light signal, and the energy entropy of the blue light signal, respectively. The color chaos degree is calculated based on the energy entropy of the red light signal, the energy entropy of the green light signal, and the energy entropy of the blue light signal.

3. The partial discharge detection method based on discharge spectrum colorimetry according to claim 2, characterized in that, Colorimetric analysis is performed on the RGB monochromatic light signal of the discharge optical signal to calculate the spectral gamut deviation, including: Calculate the average light intensity based on several collected RGB monochromatic light signals; For each discharge optical signal, the spectral gamut deviation is calculated based on the average light intensity using the Euclidean distance method.

4. The partial discharge detection method based on discharge spectrum colorimetry according to claim 3, characterized in that, Colorimetric analysis is performed on the RGB monochromatic light signal of the discharge optical signal to calculate the spectral colorimetric dynamic coupling parameters, including: The pairwise difference analysis of the red light intensity, green light intensity, and blue light intensity of the discharge optical signal was performed to calculate the dynamic coupling parameters of spectral colorimetry. The dynamic coupling parameters of spectral chromaticity are calculated using the following formula: In the formula, DCC i represents the spectral and chromatic dynamic coupling parameter of the i-th discharge optical signal.

5. The partial discharge detection method based on discharge spectrum colorimetry according to claim 4, characterized in that, Perform chromaticity analysis on the RGB monochromatic light signal of the discharge optical signal and calculate the hue purity ratio, including: Determine the maximum and minimum light intensity values ​​among the red, green, and blue light intensities of the discharge optical signal; The hue purity ratio is calculated based on the maximum and minimum light intensity values.

6. The partial discharge detection method based on discharge spectrum colorimetry according to claim 5, characterized in that, The calculation of chromaticity difference weights based on the full-band optical signal and RGB monochromatic light signal of the discharge optical signal includes: The intensity of red light, green light, and blue light of the discharge optical signal are summed to obtain the total intensity of monochromatic light. The intensity of the full-band optical signal is determined based on the full-band optical signal. The ratio of the intensity of the full-band light to the sum of the intensity of the monochromatic light is determined as the chromaticity difference weight.

7. The partial discharge detection method based on discharge spectrum colorimetry according to claim 6, characterized in that, The method involves weighting and integrating the color chaos degree, the spectral gamut deviation, the spectral color dynamic coupling parameter, and the hue purity ratio based on the color difference weight to obtain the comprehensive colorimetric value of the discharge optical signal, including: The overall colorimetric value is calculated using the following formula: L i =[γ(CEE i ×CDI i )+(1-γ)(DCC i ×HPR i )]×100% In the formula, represents the chromaticity comprehensive value of the i-th discharge optical signal.

8. The partial discharge detection method based on discharge spectrum colorimetry according to claim 7, characterized in that, The step of comparing the average value of the comprehensive colorimetric values ​​with several judgment colorimetric ranges to determine the discharge type detection result of the switchgear equipment includes: Obtain the voltage level of the switchgear equipment; Obtain empirical curves of chromaticity voltage corresponding to several discharge types from a preset database; The set chromaticity range corresponding to the voltage level is obtained from each of the chromaticity voltage empirical curves and determined as the chromaticity range for judgment. The average value of the comprehensive colorimetric value is compared with several judgment colorimetric ranges, and the discharge type corresponding to the judgment colorimetric range in which the average value of the comprehensive colorimetric value is located is determined as the discharge type detection result of the switchgear equipment.

9. The partial discharge detection method based on discharge spectrum colorimetry according to claim 8, characterized in that, The determination of the empirical curve of chromaticity voltage includes: Measure the initial discharge voltage and breakdown voltage of the experimental switchgear equipment; Several external voltages are set; wherein the external voltage is greater than the initial discharge voltage and less than the breakdown voltage; Based on the discharge characteristics of different discharge types, several external voltages are applied to the experimental switch cabinet equipment, and corresponding experimental discharge optical signals are collected. Calculate the comprehensive chromaticity value of the experiment based on the experimental discharge optical signal; Several experimental chromaticity comprehensive values ​​of the same discharge type and the applied voltage were respectively subjected to curve fitting to obtain several empirical chromaticity-voltage curves.

10. A partial discharge detection device based on discharge spectrum colorimetry, characterized in that, include: The system includes a signal acquisition module, a colorimetric analysis module, a weight calculation module, a weighted integration module, a mean processing module, and a discharge type determination module. The signal acquisition module is used to acquire several discharge optical signals from the switchgear equipment; wherein, the acquisition time points of each discharge optical signal are different; the discharge optical signals include full-band optical signals and RGB monochromatic optical signals; The colorimetric analysis module is used to perform colorimetric analysis on the RGB monochromatic light signal of each discharge optical signal, and calculate the color chaos degree, spectral gamut deviation degree, spectral colorimetric dynamic coupling parameter and hue purity ratio respectively. The weight calculation module is used to calculate the chromaticity difference weight based on the full-band optical signal and RGB monochromatic light signal of the discharge optical signal; The weighted integration module is used to perform weighted integration of the color chaos degree, the spectral gamut deviation degree, the spectral color dynamic coupling parameter and the hue purity ratio based on the color difference weight, so as to obtain the comprehensive color value of the discharge optical signal. The mean value processing module is used to calculate the mean value of the chromaticity comprehensive value based on the chromaticity comprehensive value of several discharge optical signals; The discharge type determination module is used to compare the average value of the comprehensive colorimetric value with several judgment colorimetric ranges to determine the discharge type detection result of the switchgear equipment; wherein, each judgment colorimetric range corresponds to a discharge type.

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