CN110600044B - Method and system for identifying noise of main sound source in converter station - Google Patents
Method and system for identifying noise of main sound source in converter station Download PDFInfo
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Abstract
The invention discloses a method and a system for identifying noise of a main sound source in a converter station, wherein the method comprises the following steps: acquiring frequency spectrum data of a noise signal to be identified; calculating parameter information of characteristic tone parameters of the frequency spectrum data; and comparing the parameter information of the characteristic tone parameters with a noise identification criterion to identify the noise signal to be identified. The identification method provided by the invention is based on the spectral characteristic tone parameters in acoustics, deeply excavates the noise data containing information, fully utilizes the spectral characteristics of the noise data, selects the corresponding characteristic frequency band, further completes the identification of noise signals, and greatly improves the identification accuracy and the identification speed; the method has obvious engineering significance for planning, designing and operating the converter station environmental assessment angle.
Description
Technical Field
The present invention relates to the technical field of noise identification, and more particularly, to a method and system for identifying noise of a primary sound source in a converter station.
Background
At present, energy resources in China are seriously mismatched with an electric energy load center, and a long-distance and large-capacity electric energy transmission technology must be developed for realizing the effective transmission of the energy resources to the load center. The ultra-high voltage direct current transmission technology is an important scheme for solving the existing contradiction of power transmission, but electrical equipment in a converter station in an ultra-high voltage direct current transmission project can generate noise during operation, and influences are caused on the surrounding environment of the converter station.
The main noise sources in the converter station are equipment such as a converter transformer, a converter valve, a smoothing reactor, an AC/DC filter bank, a valve cooling tower and the like. The noise problem generated by the devices is one of the problems which are common and must be solved in the construction of power grid transmission and transformation projects. Along with economic development and large-scale urbanization process in China, more converter stations with high voltage and large capacity can be built in a 1-2 type region with strict noise limitation, so that noise control and standard reaching of the converter stations become important problems which need to be considered in design and construction.
Accurate identification of noise within the converter station is an important basis for effective noise control. When measuring each main sound source in the current exchange station, the mutual influence among the devices in the station is found, various obstacles and other complex environmental conditions exist, and the measurement result is the noise condition under the combined action of multiple sound sources, so that the data of a single sound source cannot be accurately obtained; when the noise outside the converter station is measured, the noise generated by the converter station is smaller than the ambient noise around the measuring point, and the measuring result is very easily influenced by the ambient noise, so that the noise measuring result at the station boundary of the converter station cannot accurately represent the noise contribution of the converter station, and even the phenomenon that the measured value exceeds the standard but the noise contribution of the converter station is basically zero occurs. Therefore, a method and a system for accurately identifying noise of each main sound source in a converter station are needed to accurately identify the source of the + noise signal.
Disclosure of Invention
The invention provides a method and a system for identifying noise of a main sound source in a converter station, and aims to solve the problem of how to identify the noise in the converter station to determine the sound source.
In order to solve the above problem, according to an aspect of the present invention, there is provided a method for identifying noise of a primary sound source in a converter station, characterized in that the method comprises:
acquiring frequency spectrum data of a noise signal to be identified;
calculating parameter information of characteristic tone parameters of the frequency spectrum data; wherein the characteristic tone color parameters include: spectral centroid, spectral envelope area, spectral irregularity, and spectral entropy;
and comparing the parameter information of the characteristic tone parameter with a noise identification criterion to identify the noise signal to be identified.
Preferably, the comparing the parameter information of the characteristic tone color parameter with a noise identification criterion to identify the noise signal to be identified includes:
comparing whether the spectral centroid information of the full frequency band is greater than a first preset spectral centroid threshold value, and if so, determining that the noise signal to be identified is valve hall noise; conversely, the category of the noise signal to be identified is determined based on the spectral irregularity of the noise signal within the first preset frequency range frequency band.
Preferably, the determining the category of the noise signal to be identified based on the spectrum irregularity of the noise signal within the first preset frequency range frequency band comprises:
judging whether the spectrum irregularity of the noise signal in a first preset frequency range frequency band is less than or equal to a first preset spectrum irregularity threshold value, if so, determining that the noise signal to be identified belongs to spectrum flatness type noise, and identifying the spectrum flatness type noise according to the spectrum envelope area and the spectrum irregularity; and otherwise, determining the noise signal to be identified as the spectrum non-flat noise, and identifying the spectrum non-flat noise according to the spectrum envelope area, the spectrum centroid and the spectrum irregularity.
Preferably, when it is determined that the noise signal to be identified belongs to flat-spectrum noise, identifying flat-spectrum noise according to a spectrum envelope area and spectrum irregularity includes:
judging whether the full-band spectrum envelope area of the noise signal is larger than or equal to a first preset spectrum envelope area threshold value or not; if so, determining the noise signal to be identified as converter transformer class I noise; otherwise, judging whether the spectrum irregularity of the noise signal in the second preset frequency range frequency band meets a second preset spectrum irregularity threshold value or less, and if so, determining the noise signal to be identified as the valve cooling tower noise; and if not, determining that the noise signal to be identified is the corona noise of the hardware fitting in the alternating current field.
Preferably, when it is determined that the noise signal to be identified belongs to the spectrum non-flat noise class, identifying the spectrum non-flat noise class according to the spectrum centroid, the spectrum entropy and the spectrum irregularity includes:
step 2, judging whether the spectrum irregularity of the noise signal in the fourth preset frequency range frequency band is less than or equal to a third preset spectrum irregularity threshold value; if so, determining the noise signal to be identified as the noise of the alternating current filter bank; otherwise, entering step 3;
step 3, judging whether the ratio of the spectral envelope area of the noise signal in a fifth preset frequency range frequency band to the total spectral envelope area of the noise signal to be identified is less than or equal to a preset spectral envelope area ratio; if so, determining the noise signal to be identified as smoothing reactor noise; and otherwise, determining the noise signal to be identified as the DC filter bank noise.
Preferably, wherein the first preset spectral centroid threshold value is 600Hz; the first preset frequency range is 400 Hz-20 kHz; the first preset spectrum irregularity threshold value is 0.5.
Preferably, wherein the first preset spectral envelope area threshold is 85dB (Z); the second preset frequency range is 100Hz to 20kHz; the second preset spectrum irregularity threshold is 0.8.
Preferably, wherein the third preset frequency range is 250Hz to 2500kHz; the second preset spectral centroid threshold value is 650Hz; the preset spectral entropy threshold value is 1.5; the fourth preset frequency range is 1600 Hz-3150 Hz; the third preset spectrum irregularity threshold value is 0.25; the fifth preset frequency range is 630Hz to 2000Hz; the preset spectral envelope area ratio is 25%.
According to another aspect of the invention, a system for identifying noise of a primary sound source in a converter station is provided, characterized in that the system comprises:
the device comprises a spectrum data acquisition unit, a spectrum data acquisition unit and a noise detection unit, wherein the spectrum data acquisition unit is used for acquiring spectrum data of a noise signal to be identified;
a parameter information calculation unit for calculating parameter information of a characteristic tone parameter of the spectrum data; wherein the characteristic tone color parameters include: spectral centroid, spectral envelope area, spectral irregularity, and spectral entropy;
and the noise identification unit is used for comparing the parameter information of the characteristic tone parameter with a noise identification criterion so as to identify the noise signal to be identified.
Preferably, the noise identifying unit compares the parameter information of the characteristic tone color parameter with a noise identifying criterion to identify the noise signal to be identified, and includes:
comparing whether the spectral centroid information of the full frequency band is greater than a first preset spectral centroid threshold value, and if so, determining that the noise signal to be identified is valve hall noise; and otherwise, entering a category judgment unit to determine the category of the noise signal to be identified based on the spectrum irregularity of the noise signal in the first preset frequency range frequency band.
Preferably, the determining the category of the noise signal to be identified based on the spectrum irregularity of the noise signal within the first preset frequency range frequency band by the category determining unit includes:
the judging module is used for judging whether the spectrum irregularity of the noise signal in the first preset frequency range frequency band is less than or equal to a first preset spectrum irregularity threshold value or not, and if so, determining that the noise signal to be identified belongs to the spectrum flatness noise; otherwise, determining the noise signal to be identified as the spectrum non-flat noise;
the spectrum flat noise identification module is used for identifying the spectrum flat noise according to the spectrum envelope area and the spectrum irregularity when the noise signal to be identified is determined to belong to the spectrum flat noise;
and the spectrum non-flat noise identification module is used for identifying the spectrum non-flat noise according to the spectrum centroid, the spectrum entropy and the spectrum irregularity when the noise signal to be identified is determined to belong to the spectrum non-flat noise.
Preferably, when it is determined that the noise signal to be identified belongs to the flat-spectrum noise class, the identifying module of flat-spectrum noise class according to the spectral envelope area and the spectral irregularity includes:
judging whether the full-band spectrum envelope area of the noise signal is larger than or equal to a first preset spectrum envelope area threshold value or not; if so, determining the noise signal to be identified as converter transformer class I noise; otherwise, judging whether the spectrum irregularity of the noise signal in the second preset frequency range frequency band meets a second preset spectrum irregularity threshold value or less, and if so, determining the noise signal to be identified as the noise of the valve cooling tower; and if not, determining that the noise signal to be identified is the corona noise of the hardware in the alternating current field.
Preferably, when it is determined that the noise signal to be identified belongs to the spectrum non-flat noise class, the spectrum non-flat noise class identifying module identifies the spectrum non-flat noise class according to a spectrum centroid, a spectrum entropy and a spectrum irregularity, including:
the first judgment submodule is used for judging whether the spectral centroid of the noise signal in the third preset frequency range frequency band meets a second preset spectral centroid threshold value or less, and the spectral entropy of the noise signal in the frequency band is greater than or equal to a preset spectral entropy threshold value; if so, determining that the noise signal to be identified is class II noise of the converter transformer; otherwise, entering a second judgment sub-module;
the second judgment submodule is used for judging whether the spectrum irregularity of the noise signal in the fourth preset frequency range frequency band is less than or equal to a third preset spectrum irregularity threshold value or not; if so, determining the noise signal to be identified as the noise of the alternating current filter bank; otherwise, entering a third judgment submodule;
the third judgment submodule is used for judging whether the ratio of the spectral envelope area of the noise signal in a fifth preset frequency range frequency band to the total spectral envelope area of the noise signal to be identified is smaller than or equal to a preset spectral envelope area ratio or not; if so, determining the noise signal to be identified as smoothing reactor noise; and otherwise, determining the noise signal to be identified as the DC filter bank noise.
Preferably, wherein the first preset spectral centroid threshold value is 600Hz; the first preset frequency range is 400 Hz-20 kHz; the first preset spectrum irregularity threshold is 0.5.
Preferably, wherein the first preset spectral envelope area threshold is 85dB (Z); the second preset frequency range is 100 Hz-20 kHz; the second preset spectrum irregularity threshold is 0.8.
Preferably, wherein the third preset frequency range is 250Hz to 2500kHz; the second preset spectral centroid threshold value is 650Hz; the preset spectral entropy threshold value is 1.5; the fourth preset frequency range is 1600 Hz-3150 Hz; the third preset spectrum irregularity threshold value is 0.25; the fifth preset frequency range is 630Hz to 2000Hz; the preset spectral envelope area ratio is 25%.
The invention provides a method and a system for identifying noise of a main sound source in a converter station, which comprises the following steps: acquiring frequency spectrum data of a noise signal to be identified; calculating parameter information of characteristic tone parameters of the frequency spectrum data; and comparing the parameter information of the characteristic tone parameter with a noise identification criterion to identify the noise signal to be identified. The identification method provided by the invention deeply excavates the noise data implication information based on the spectral characteristic tone parameters in acoustics, fully utilizes the spectral characteristics of the noise data, selects the corresponding characteristic frequency band, further completes the identification of the noise signal, and greatly improves the identification accuracy and the identification speed; clear order, strong logic, easy programming, rapid and accurate identification of noise signal sources, greatly reduced labor and time cost, and convenient engineering application; the method has obvious engineering significance for planning, designing and operating the converter station environmental assessment angle.
Drawings
Exemplary embodiments of the invention may be more completely understood in consideration of the following drawings:
FIG. 1 is a flow diagram of a method 100 for identifying noise of a primary sound source within a converter station according to an embodiment of the present invention;
FIG. 2 is a general flowchart for identifying noise within a commutation station according to an embodiment of the present invention;
FIG. 3 is an exemplary diagram of identifying noise within a commutation station according to an embodiment of the present invention;
FIG. 4 is a statistical plot of full-band spectral centroid information for each primary sound source according to an embodiment of the present invention;
FIG. 5 is a statistical chart of the spectral irregularities of the noise of each primary sound source in the frequency range of 400Hz to 20kHz according to the embodiment of the present invention; and
fig. 6 is a block diagram of a system 600 for identifying noise of a primary sound source in a converter station according to an embodiment of the present invention.
Detailed Description
Example embodiments of the present invention will now be described with reference to the accompanying drawings, however, the invention may be embodied in many different forms and not limited to the embodiments described herein, which are provided for a complete and complete disclosure of the invention and to fully convey the scope of the invention to those skilled in the art. Also, the terminology used in the exemplary embodiments illustrated in the accompanying drawings is not intended to be limiting of the invention. In the drawings, the same units/elements are denoted by the same reference numerals.
Unless otherwise defined, terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Further, it will be understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense.
Fig. 1 is a flow chart of a method 100 for identifying noise of a primary sound source in a converter station according to an embodiment of the invention. As shown in fig. 1, in the method for identifying noise of a main sound source in a converter station according to the embodiment of the present invention, based on a spectral feature tone parameter in acoustics, noise data inclusion information is deeply mined, a spectral feature of noise data is fully utilized, a corresponding feature frequency band is selected, and identification of a noise signal is completed, so that identification accuracy and identification speed are greatly improved; clear order, strong logic, easy programming, rapid and accurate identification of noise signal sources, greatly reduced labor and time cost, and convenient engineering application; the method has obvious engineering significance for planning, designing and operating the converter station environmental assessment angle. The method 100 for identifying the noise of a primary sound source in a converter station according to an embodiment of the present invention starts at step 101 and obtains spectral data of a noise signal to be identified at step 101.
In the exemplary embodiment of the present invention, the noise measuring instrument used is a B & K2250 sound level meter calibrated by a sound calibrator, and a 1/3 octave spectrum analysis module in the sound level meter is selected to test a noise signal, so as to directly obtain discrete spectrum data of the test noise.
In step 102, calculating parameter information of characteristic tone parameters of the spectral data; wherein the characteristic tone color parameters include: spectral centroid, spectral envelope area, spectral irregularity, and spectral entropy.
In step 103, comparing the parameter information of the characteristic tone color parameter with a noise identification criterion to identify the noise signal to be identified.
Preferably, the comparing the parameter information of the characteristic tone color parameter with a noise identification criterion to identify the noise signal to be identified includes:
comparing whether the spectral centroid information of the full frequency band is greater than a first preset spectral centroid threshold value, and if so, determining that the noise signal to be identified is valve hall noise; and otherwise, determining the category of the noise signal to be identified based on the spectrum irregularity of the noise signal in the first preset frequency range frequency band.
Preferably, the determining the category of the noise signal to be identified based on the spectrum irregularity of the noise signal within the first preset frequency range frequency band comprises:
judging whether the spectrum irregularity of the noise signal in the first preset frequency range frequency band is less than or equal to a first preset spectrum irregularity threshold value, if so, determining that the noise signal to be identified belongs to spectrum flat noise, and identifying the spectrum flat noise according to the spectrum envelope area and the spectrum irregularity; and otherwise, determining the noise signal to be identified as the spectrum non-flat noise, and identifying the spectrum non-flat noise according to the spectrum envelope area, the spectrum centroid and the spectrum irregularity.
Preferably, wherein the first preset spectral centroid threshold value is 600Hz; the first preset frequency range is 400 Hz-20 kHz; the first preset spectrum irregularity threshold is 0.5.
In the embodiment of the present invention, when identifying the noise signal to be identified, it is preferred to determine whether the noise signal to be identified is valve hall noise based on the full-band spectrum centroid. Comparing whether the information of the spectrum mass center of the full frequency band is larger than a first preset spectrum mass center threshold value 600Hz, and if so, determining the noise signal to be identified as the valve hall noise; otherwise, determining that the noise signal to be identified is not the valve hall noise, and performing category judgment.
Specifically, when it is determined that the noise signal to be identified is not the valve hall noise, determining the category of the noise signal to be identified based on the spectrum irregularity of the noise signal within the frequency band of 400Hz to 20kHz in the first preset frequency range includes: judging whether the spectrum irregularity of the noise signal in the frequency band of 400 Hz-20 kHz within the first preset frequency range is less than or equal to a first preset spectrum irregularity threshold value of 0.5, if so, determining that the noise signal to be identified belongs to spectrum flat noise, and identifying the spectrum flat noise according to the spectrum envelope area and the spectrum irregularity; and otherwise, determining the noise signal to be identified as the spectrum non-flat noise, and identifying the spectrum non-flat noise according to the spectrum envelope area, the spectrum centroid and the spectrum irregularity.
Preferably, when it is determined that the noise signal to be identified belongs to flat-spectrum noise, identifying flat-spectrum noise according to a spectrum envelope area and spectrum irregularity includes:
judging whether the full-band spectrum envelope area of the noise signal is larger than or equal to a first preset spectrum envelope area threshold value or not; if so, determining the noise signal to be identified as converter transformer class I noise; otherwise, judging whether the spectrum irregularity of the noise signal in the second preset frequency range frequency band meets a second preset spectrum irregularity threshold value or less, and if so, determining the noise signal to be identified as the valve cooling tower noise; and if not, determining that the noise signal to be identified is the corona noise of the hardware in the alternating current field.
Preferably, wherein the first preset spectral envelope area threshold is 85dB (Z); the second preset frequency range is 100 Hz-20 kHz; the second preset spectrum irregularity threshold value is 0.8.
When the flat-spectrum noise identification is carried out, the full-band spectrum envelope area is greater than or equal to 85dB (Z), and the noise signal is the I-type noise identification of the converter transformer. When the noise signal is not the class I noise of the converter transformer, if the spectrum irregularity of the noise signal in the frequency band of 100 Hz-20 kHz is less than or equal to 0.8, the noise signal can be the noise of the valve cooling tower, otherwise, the noise signal is determined to be the corona noise of hardware fittings in the alternating current field.
Therefore, in the embodiment of the present invention, the identification of flat spectrum noise based on spectral envelope area and spectral irregularity parameters is implemented, including: judging whether the full-band spectrum envelope area of the noise signal is greater than or equal to a first preset spectrum envelope area threshold value 85dB (Z); if so, determining the noise signal to be identified as converter transformer class I noise; otherwise, judging whether the spectrum irregularity of the noise signal in the frequency band of 100 Hz-20 kHz in the second preset frequency range meets the threshold value of less than or equal to 0.8 of the second preset spectrum irregularity, and if so, determining the noise signal to be identified as the noise of the valve cooling tower; and if not, determining that the noise signal to be identified is the corona noise of the hardware fitting in the alternating current field.
Preferably, when it is determined that the noise signal to be identified belongs to the spectrum non-flat noise class, identifying the spectrum non-flat noise class according to the spectrum centroid, the spectrum entropy and the spectrum irregularity includes:
step 2, judging whether the spectrum irregularity of the noise signal in the fourth preset frequency range frequency band is less than or equal to a third preset spectrum irregularity threshold value; if so, determining the noise signal to be identified as the noise of the alternating current filter bank; otherwise, entering step 3;
step 3, judging whether the ratio of the spectral envelope area of the noise signal in a fifth preset frequency range frequency band to the total spectral envelope area of the noise signal to be identified is less than or equal to a preset spectral envelope area ratio; if so, determining the noise signal to be identified as smoothing reactor noise; and otherwise, determining the noise signal to be identified as the DC filter bank noise.
Preferably, wherein the third preset frequency range is 250Hz to 2500kHz; the second preset spectral centroid threshold value is 650Hz; the preset spectral entropy threshold value is 1.5; the fourth preset frequency range is 1600 Hz-3150 Hz; the third preset spectrum irregularity threshold value is 0.25; the fifth preset frequency range is 630Hz to 2000Hz; the preset spectral envelope area ratio is 25%.
When the flat-spectrum noise identification is carried out, if the spectrum centroid of the noise signal with the frequency range of 250 Hz-2500 Hz is smaller than or equal to 650Hz, and the spectrum entropy in the frequency band is larger than or equal to 1.5, the noise signal is the converter transformer II noise.
When the noise signal is determined not to be class II noise of the converter transformer, if the spectrum irregularity of the noise signal within the frequency band of 1600Hz to 3150Hz is less than or equal to 0.25, the noise signal can be determined to be the noise of the alternating current filter bank.
When the noise signal is determined not to be the alternating current filter bank noise, if the ratio of the spectrum envelope area of the noise signal with the frequency range of 630 Hz-2000 Hz in the total spectrum envelope area of the noise spectrum is less than or equal to 25%, the noise signal is the noise of the smoothing reactor, otherwise, the noise signal is the direct current filter bank noise.
Therefore, in the embodiment of the present invention, the spectral non-flat noise identification is realized based on the spectral envelope area, the spectral entropy and the spectral centroid parameters, and comprises: step 1, judging whether the spectrum centroid of the noise signal in a frequency band of 250 Hz-2500 kHz in a third preset frequency range meets a second preset spectrum centroid threshold value of 650Hz or less, and the spectrum entropy of the noise signal in the frequency band is 1.5 or more than the preset spectrum entropy threshold value; if so, determining the noise signal to be identified as class II noise of the converter transformer; otherwise, entering the step 2;
step 2, judging whether the spectrum irregularity of the noise signal in a fourth preset frequency range of 1600 Hz-3150 Hz frequency band is less than or equal to a third preset spectrum irregularity threshold value of 0.25; if so, determining the noise signal to be identified as the noise of the alternating current filter bank; otherwise, entering step 3;
step 3, judging whether the ratio of the spectral envelope area of the noise signal in a fifth preset frequency range of 630Hz to 2000Hz to the total spectral envelope area of the noise signal to be identified is less than or equal to a preset spectral envelope area ratio of 25 percent; if so, determining the noise signal to be identified as smoothing reactor noise; and otherwise, determining the noise signal to be identified as the DC filter bank noise.
Fig. 2 is a general flowchart for identifying noise within a commutation station according to an embodiment of the present invention. As shown in fig. 2, the general flow of identifying noise in the commutation station of the embodiment of the present invention includes: acquiring noise signal spectrum data; calculating characteristic tone parameters of the noise signals; and identifying the sound source based on the characteristic tone parameters of the noise signal. Specifically, identifying the sound source based on the characteristic timbre parameters of the noise signal comprises: identifying noise of a valve hall; spectral flatness identification (i.e., class determination); and after determining the flatness, performing spectral flat noise identification or spectral non-flat noise identification.
Fig. 3 is an exemplary diagram for identifying noise in a commutation station according to an embodiment of the present invention. As shown in fig. 3, the identification of noise in the switching station according to the embodiment of the present invention includes: judging whether the full-band spectrum centroid is larger than or equal to 600Hz, and if so, determining the full-band spectrum centroid is valve hall noise; otherwise, judging whether the spectrum irregularity of the noise signal in the frequency band of 400 Hz-20 kHz is less than or equal to 0.5, if so, determining that the noise signal to be identified belongs to the flat spectrum noise; otherwise, it is a spectrum unevenness noise.
When the noise signal is a flat frequency spectrum noise, judging whether the full-band spectrum envelope area is more than or equal to 85dB (Z); if so, determining the noise signal as the class I noise of the converter transformer; otherwise, judging whether the spectrum irregularity of the noise signal in the frequency band of 100 Hz-20 kHz is less than or equal to 0.8, if so, determining the noise signal as the noise of the valve cooling tower; if not, determining the noise signal as the corona noise of the hardware in the alternating current field.
When the noise signal is a spectrum non-flat noise, judging whether the spectrum centroid of the noise signal in a frequency band of 250 Hz-2500 kHz meets 650Hz or less, and the spectrum entropy of the noise signal in the frequency band is 1.5 or more; if so, determining the noise signal as the class II noise of the converter transformer; otherwise, judging whether the spectrum irregularity of the noise signal in the frequency band of 1600 Hz-3150 Hz is less than or equal to 0.25; if so, determining the noise signal as the noise of the alternating current filter bank; otherwise, judging whether the ratio of the spectral envelope area of the noise signal in the frequency range of 630-2000 Hz to the total spectral envelope area of the noise signal to be identified is less than or equal to 25%; if so, determining the noise signal as the noise of the smoothing reactor; and otherwise, determining the noise signal as the DC filter bank noise.
Based on the identification method provided by the embodiment of the invention, all the actually measured equipment noise data of the Yanmenguan converter station and the Tazhou converter station are researched, and the obtained statistical data are respectively shown in fig. 4 and fig. 5, so that the following can be seen:
(1) The full frequency band spectral centroid of the valve hall noise is greater than 800Hz.
(2) The spectrum irregularity of the flat-spectrum noise in the frequency band of 400 Hz-20 kHz is less than or equal to 0.42.
(3) In the case of flat-spectrum noise-like identification,
the full-band spectrum envelope area of the class I noise of the converter transformer is greater than or equal to 90.21dB (Z);
in case the noise signal is not class I noise of the converter transformer:
the spectrum irregularity of the noise of the valve cooling tower in a frequency band of 100Hz to 20kHz is less than or equal to 0.73;
the spectral irregularity of the corona of the gold fittings in the alternating current field in the frequency band of 100Hz to 20kHz is more than 0.73.
(4) In the case of spectral non-flat noise-like identification,
the spectrum centroid of the converter transformer II type noise in a frequency band from 250Hz to 2500Hz is less than or equal to 580, and the spectrum entropy in the frequency band is greater than or equal to 1.9;
in case the noise signal is not class II noise of the converter transformer:
the spectrum irregularity of the noise of the alternating current filter bank in a frequency band of 1600 Hz-3150 Hz is less than or equal to 0.19;
under the condition that the noise signal is not the class II noise of the converter transformer and the noise of the alternating current filter bank:
the ratio of the spectral envelope area of the noise of the smoothing reactor in the frequency band of 630-2000 Hz to the total spectral envelope area of the noise spectrum is less than or equal to 18 percent;
the ratio of the spectral envelope area of the direct current filter bank noise in the frequency band of 630Hz to 2000Hz to the total spectral envelope area of the noise spectrum is more than 18 percent.
The embodiment of the invention is used for identifying the noise of Yanmenguan and Thailand, and the identification result is shown in the table 1. As can be seen from table 1, the identification method according to the embodiment of the present invention has good accuracy.
TABLE 1 identification results of different regions
Fig. 6 is a block diagram of a system 600 for identifying noise of a primary sound source in a converter station according to an embodiment of the present invention. As shown in fig. 6, the system 600 for identifying noise of a primary sound source in a converter station according to an embodiment of the present invention includes: spectrum data acquisition section 601, parameter information calculation section 602, and noise identification section 603.
Preferably, the spectrum data acquiring unit 601 is configured to acquire spectrum data of a noise signal to be identified.
Preferably, the parameter information calculating unit 602 is configured to calculate parameter information of a characteristic timbre parameter of the spectral data; wherein the characteristic tone color parameters include: spectral centroid, spectral envelope area, spectral irregularity, and spectral entropy.
Preferably, the noise identification unit 603 is configured to compare parameter information of the characteristic tone color parameter with a noise identification criterion, so as to identify the noise signal to be identified.
Preferably, the noise identifying unit 603 compares the parameter information of the characteristic tone color parameter with a noise identifying criterion to identify the noise signal to be identified, and includes: comparing whether the spectrum centroid information of the full frequency band is larger than a first preset spectrum centroid threshold value, if so, determining the noise signal to be identified as the valve hall noise; and otherwise, entering a category judgment unit to determine the category of the noise signal to be identified based on the spectrum irregularity of the noise signal in the first preset frequency range frequency band.
Preferably, the category determination unit includes: the device comprises a judging module, a spectrum flat noise identification module and a spectrum non-flat noise identification module.
Preferably, the determining module is configured to determine whether a spectrum irregularity of the noise signal within a first preset frequency range frequency band is less than or equal to a first preset spectrum irregularity threshold, and if so, determine that the noise signal to be identified belongs to a flat spectrum noise; otherwise, determining the noise signal to be identified as the spectrum non-flat noise.
Preferably, wherein the first preset spectral centroid threshold value is 600Hz; the first preset frequency range is 400 Hz-20 kHz; the first preset spectrum irregularity threshold is 0.5.
Preferably, the spectrum flatness noise identification module is configured to identify the spectrum flatness noise according to a spectrum envelope area and spectrum irregularity when it is determined that the noise signal to be identified belongs to the spectrum flatness noise.
Preferably, the spectrum non-flat noise identification module is configured to identify the spectrum non-flat noise according to a spectrum centroid, a spectrum entropy and a spectrum irregularity when it is determined that the noise signal to be identified belongs to the spectrum non-flat noise.
Preferably, when it is determined that the noise signal to be identified belongs to the flat-spectrum noise class, the flat-spectrum noise identification module identifies the flat-spectrum noise class according to a spectrum envelope area and spectrum irregularity, including:
judging whether the full-band spectrum envelope area of the noise signal is larger than or equal to a first preset spectrum envelope area threshold value or not; if so, determining the noise signal to be identified as the class I noise of the converter transformer; otherwise, judging whether the spectrum irregularity of the noise signal in the second preset frequency range frequency band meets a second preset spectrum irregularity threshold value or less, and if so, determining the noise signal to be identified as the noise of the valve cooling tower; and if not, determining that the noise signal to be identified is the corona noise of the hardware in the alternating current field.
Preferably, wherein the first preset spectral envelope area threshold is 85dB (Z); the second preset frequency range is 100 Hz-20 kHz; the second preset spectrum irregularity threshold is 0.8.
Preferably, the spectrum non-flat noise-like identification module comprises: the device comprises a first judgment submodule, a second judgment submodule and a third judgment submodule.
Preferably, the first determining submodule is configured to determine whether a spectrum centroid of the noise signal within a third preset frequency range frequency band meets a second preset spectrum centroid threshold or less, and a spectrum entropy of the noise signal within the frequency band is greater than or equal to a preset spectrum entropy threshold; if so, determining that the noise signal to be identified is class II noise of the converter transformer; otherwise, the second judgment submodule is entered.
Preferably, the second determining submodule is configured to determine whether the spectrum irregularity of the noise signal in the fourth preset frequency range frequency band is less than or equal to a third preset spectrum irregularity threshold; if so, determining the noise signal to be identified as the noise of the alternating current filter bank; otherwise, the third judgment submodule is entered.
Preferably, the third determining submodule is configured to determine whether a ratio of a spectral envelope area of the noise signal within a fifth preset frequency range frequency band to a total spectral envelope area of the noise signal to be identified is less than or equal to a preset spectral envelope area ratio; if so, determining the noise signal to be identified as smoothing reactor noise; and otherwise, determining the noise signal to be identified as the noise of the direct current filter bank.
Preferably, wherein the third preset frequency range is 250Hz to 2500kHz; the second preset spectral centroid threshold value is 650Hz; the preset spectral entropy threshold value is 1.5; the fourth preset frequency range is 1600 Hz-3150 Hz; the third preset spectrum irregularity threshold value is 0.25; the fifth preset frequency range is 630Hz to 2000Hz; the preset spectral envelope area ratio is 25%.
The system 600 for identifying noise of a primary sound source in a converter station according to an embodiment of the present invention corresponds to the method 100 for identifying noise of a primary sound source in a converter station according to another embodiment of the present invention, and will not be described herein again.
The invention has been described with reference to a few embodiments. However, other embodiments of the invention than the one disclosed above are equally possible within the scope of the invention, as would be apparent to a person skilled in the art from the appended patent claims.
Generally, all terms used in the claims are to be interpreted according to their ordinary meaning in the technical field, unless explicitly defined otherwise herein. All references to "a/an/the [ means, component, etc ]" are to be interpreted openly as referring to at least one instance of said means, component, etc., unless explicitly stated otherwise. The steps of any method disclosed herein do not have to be performed in the exact order disclosed, unless explicitly stated.
Claims (10)
1. A method for identifying noise of a primary sound source within a converter station, the method comprising:
acquiring frequency spectrum data of a noise signal to be identified;
calculating parameter information of characteristic tone parameters of the frequency spectrum data; wherein the characteristic tone color parameters include: spectral centroid, spectral envelope area, spectral irregularity, and spectral entropy;
comparing the parameter information of the characteristic tone color parameter with a noise identification criterion to identify the noise signal to be identified, including: comparing whether the spectrum centroid information of the full frequency band is larger than a first preset spectrum centroid threshold value, if so, determining the noise signal to be identified as the valve hall noise; otherwise, determining the category of the noise signal to be identified based on the spectrum irregularity of the noise signal in the first preset frequency range frequency band;
wherein the determining the category of the noise signal to be identified based on the spectrum irregularity of the noise signal within the first preset frequency range band comprises:
judging whether the spectrum irregularity of the noise signal in the first preset frequency range frequency band is less than or equal to a first preset spectrum irregularity threshold value, if so, determining that the noise signal to be identified belongs to spectrum flat noise, and identifying the spectrum flat noise according to the spectrum envelope area and the spectrum irregularity; otherwise, determining the noise signal to be identified as the spectrum non-flat noise, and identifying the spectrum non-flat noise according to the spectrum envelope area, the spectrum centroid and the spectrum irregularity;
when the noise signal to be identified belongs to the flat-spectrum noise, the flat-spectrum noise is identified according to the spectrum envelope area and the spectrum irregularity, and the method comprises the following steps:
judging whether the full-band spectrum envelope area of the noise signal is larger than or equal to a first preset spectrum envelope area threshold value or not; if so, determining the noise signal to be identified as converter transformer class I noise; otherwise, judging whether the spectrum irregularity of the noise signal in the second preset frequency range frequency band meets a second preset spectrum irregularity threshold value or less, and if so, determining the noise signal to be identified as the valve cooling tower noise; and if not, determining that the noise signal to be identified is the corona noise of the hardware fitting in the alternating current field.
2. The method according to claim 1, wherein when it is determined that the noise signal to be identified belongs to spectrum non-flat noise class, identifying the spectrum non-flat noise class according to spectrum centroid, spectrum entropy and spectrum irregularity comprises:
step 1, judging whether the spectrum centroid of the noise signal in a third preset frequency range frequency band meets a second preset spectrum centroid threshold value or less, and the spectrum entropy of the noise signal in the frequency band is greater than or equal to a preset spectrum entropy threshold value; if so, determining that the noise signal to be identified is class II noise of the converter transformer; otherwise, entering the step 2;
step 2, judging whether the spectrum irregularity of the noise signal in the fourth preset frequency range frequency band is less than or equal to a third preset spectrum irregularity threshold value; if so, determining the noise signal to be identified as the noise of the alternating current filter bank; otherwise, entering step 3;
step 3, judging whether the ratio of the spectral envelope area of the noise signal in a fifth preset frequency range frequency band to the total spectral envelope area of the noise signal to be identified is less than or equal to a preset spectral envelope area ratio; if so, determining the noise signal to be identified as smoothing reactor noise; and otherwise, determining the noise signal to be identified as the noise of the direct current filter bank.
3. The method according to claim 1, wherein the first preset spectral centroid threshold value is 600Hz; the first preset frequency range is 400Hz ～ 20kHz; the first preset spectrum irregularity threshold value is 0.5.
4. The method of claim 1, wherein the first preset spectral envelope area threshold is 85dB (Z); the second preset frequency range is 100Hz ～2 0kHz; the second preset spectrum irregularity threshold is 0.8.
5. The method according to claim 2, wherein the third predetermined frequency range is 250Hz ～2 500kHz; the second preset spectral centroid threshold value is 650Hz; the preset spectral entropy threshold value is 1.5; the fourth preset frequency range is 1600Hz ～ 3150Hz; the third preset spectrum irregularity threshold value is 0.25; the fifth preset frequency range is 630Hz ～ 2000Hz; the preset spectral envelope area ratio is 25%.
6. A system for identifying noise of a primary sound source within a converter station, the system comprising:
the device comprises a spectrum data acquisition unit, a spectrum data acquisition unit and a noise detection unit, wherein the spectrum data acquisition unit is used for acquiring spectrum data of a noise signal to be identified;
a parameter information calculation unit for calculating parameter information of a characteristic tone parameter of the spectrum data; wherein the characteristic tone color parameters include: spectral centroid, spectral envelope area, spectral irregularity and spectral entropy;
a noise identification unit, configured to compare parameter information of the characteristic timbre parameter with a noise identification criterion to identify the noise signal to be identified, including: comparing whether the spectrum centroid information of the full frequency band is larger than a first preset spectrum centroid threshold value, if so, determining the noise signal to be identified as the valve hall noise; otherwise, entering a category judgment unit to determine the category of the noise signal to be identified based on the spectrum irregularity of the noise signal in the first preset frequency range frequency band;
the category determination unit determines the category of the noise signal to be identified based on the spectrum irregularity of the noise signal in the first preset frequency range frequency band, and includes:
the judging module is used for judging whether the spectrum irregularity of the noise signal in the first preset frequency range frequency band is less than or equal to a first preset spectrum irregularity threshold value or not, and if so, determining that the noise signal to be identified belongs to flat spectrum noise; otherwise, determining the noise signal to be identified as the non-flat spectrum noise;
the spectrum flat noise identification module is used for identifying the spectrum flat noise according to the spectrum envelope area and the spectrum irregularity when the noise signal to be identified is determined to belong to the spectrum flat noise;
the spectrum non-flat noise identification module is used for identifying the spectrum non-flat noise according to the spectrum centroid, the spectrum entropy and the spectrum irregularity when the noise signal to be identified belongs to the spectrum non-flat noise;
the identification module of flat noise of frequency spectrum, when determining that the noise signal to be identified belongs to flat noise of frequency spectrum, identifies flat noise of frequency spectrum according to spectrum envelope area and spectrum irregularity, including:
judging whether the full-band spectrum envelope area of the noise signal is larger than or equal to a first preset spectrum envelope area threshold value or not; if so, determining the noise signal to be identified as converter transformer class I noise; otherwise, judging whether the spectrum irregularity of the noise signal in the second preset frequency range frequency band meets a second preset spectrum irregularity threshold value or less, and if so, determining the noise signal to be identified as the valve cooling tower noise; and if not, determining that the noise signal to be identified is the corona noise of the hardware fitting in the alternating current field.
7. The system according to claim 6, wherein the spectral non-flat noise-like identification module, when determining that the noise signal to be identified belongs to spectral non-flat noise-like, identifies spectral non-flat noise-like according to spectral centroid, spectral entropy and spectral irregularity, comprising:
the first judgment sub-module is used for judging whether the spectral centroid of the noise signal in a third preset frequency range frequency band meets a second preset spectral centroid threshold value or less, and the spectral entropy of the noise signal in the frequency band is greater than or equal to a preset spectral entropy threshold value; if so, determining that the noise signal to be identified is class II noise of the converter transformer; otherwise, entering a second judgment submodule;
the second judgment submodule is used for judging whether the spectrum irregularity of the noise signal in the fourth preset frequency range frequency band is less than or equal to a third preset spectrum irregularity threshold value or not; if so, determining the noise signal to be identified as the noise of the alternating current filter bank; otherwise, entering a third judgment submodule;
the third judgment submodule is used for judging whether the ratio of the spectral envelope area of the noise signal in a fifth preset frequency range frequency band to the total spectral envelope area of the noise signal to be identified is smaller than or equal to a preset spectral envelope area ratio or not; if so, determining the noise signal to be identified as smoothing reactor noise; and otherwise, determining the noise signal to be identified as the DC filter bank noise.
8. The system of claim 6, wherein the first preset spectral centroid threshold is 600Hz; the first preset frequency range is 400Hz ～ 20kHz; the first preset spectrum irregularity threshold is 0.5.
9. The system of claim 6, wherein the first preset spectral envelope area threshold is 85dB (Z); the second predetermined frequency range is 100Hz ～ 20kHz; the second preset spectrum irregularity threshold is 0.8.
10. The system of claim 7, wherein the third predetermined frequency range is 250Hz ～ 2500kHz; the second preset spectral centroid threshold value is 650Hz; the preset spectral entropy threshold value is 1.5; the fourth preset frequency range is 1600Hz ～ 3150Hz; the third preset spectrum irregularity threshold value is 0.25; the fifth preset frequency range is 630Hz ～ 2000Hz; the preset spectral envelope area ratio is 25%.
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