CN117275444B - Substation boundary noise control and monitoring method for transformer substation - Google Patents

Substation boundary noise control and monitoring method for transformer substation Download PDF

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Publication number
CN117275444B
CN117275444B CN202311540790.8A CN202311540790A CN117275444B CN 117275444 B CN117275444 B CN 117275444B CN 202311540790 A CN202311540790 A CN 202311540790A CN 117275444 B CN117275444 B CN 117275444B
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decibel
noise
period
time
standard
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CN117275444A (en
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李承东
岳增辉
刘杰
焦述迪
苏允恒
丁世明
陈福泉
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Shandong Daowan Electric Co ltd
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Shandong Daowan Electric Co ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01HMEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H17/00Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10KSOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
    • G10K11/00Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/16Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/175Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
    • G10K11/1752Masking

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  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Acoustics & Sound (AREA)
  • Multimedia (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)

Abstract

The invention discloses a noise control and monitoring method for the boundary of a transformer substation, which comprises the following steps: the invention relates to the technical field of noise processing, in particular to information acquisition, data processing, signal analysis, time period analysis and mask matching. The method for masking noise by graceful music sound is used for controlling the noise of the substation boundary, psychological discomfort caused by noise to residents around the substation can be effectively reduced, the noise emission time period is analyzed, and the law of noise emission is searched, so that when noise masking is carried out subsequently, the decibel of masking music can be controlled, the method is suitable for controlling different masking music at different stages, the method can be flexibly used in all noise environments, the noise masking effect is improved, the influence of masking music with minimum volume on noise can be effectively controlled, uncomfortable feeling brought to people by noise is relieved from the psychological angle, excessive volume is avoided for achieving the masking effect, and hearing is damaged after long-term use.

Description

Substation boundary noise control and monitoring method for transformer substation
Technical Field
The invention relates to the technical field of noise treatment, in particular to a method for controlling and monitoring noise of a substation boundary of a transformer substation.
Background
Transformers within a substation can generate high noise when operated. The long-term contact not only can influence the physical health, but also can easily cause negative emotions such as dysphoria, anxiety and the like, thereby influencing the mental health. Current noise handling can be physically categorized into passive noise reduction and active noise reduction.
The invention improves the body of the transformer and the cooling mode thereof, replaces the forced oil circulation air-cooled transformer with the oil-immersed self-cooled transformer to reduce the noise generation amount, and sets sound absorbing materials on the inner walls of the transformer station room, the sound barrier, the sound isolation room or the firewall to absorb the noise;
the active noise reduction is that, starting from the characteristics of noise, reverse sound waves equal to the external noise are generated through a noise reduction system, the noise reduction effect is realized through a noise neutralization mode, and meanwhile, as disclosed in a bulletin No. CN115910015A, a transformer substation noise control method is disclosed, a noise self-adaptive active control device is arranged near a transformer of a transformer substation, and a first signal with the same size and opposite phase to an original signal corresponding to the noise generated by the transformer is sent out by the noise self-adaptive active control device, so that the first signal and the original signal are synthesized, and the purpose of reducing the transformer substation noise is achieved;
besides the two modes, other sounds are adopted to mask noise, and other sounds are common methods in life, if someone works in a noisy environment and listens to some light music to ignore the environmental noise, so that the anti-noise effect is achieved.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a method for controlling and monitoring the noise of the substation boundary of a transformer substation, and solves the problems in the background art.
In order to achieve the above purpose, the invention is realized by the following technical scheme: a method for controlling and monitoring the noise of the station boundary of a transformer substation comprises the following steps:
step one, information acquisition
Acquiring a plurality of station boundary decibel parameters and a plurality of environment decibel parameters acquired at a designated time point in a target range, wherein the station boundary decibel parameters are data obtained by monitoring noise of a station boundary acquisition point of a transformer substation through a decibel tester in the target range, and the environment decibel parameters are data obtained by monitoring positions which are not influenced by the noise of the transformer substation through the decibel tester in the target range;
step two, data processing
Firstly, calculating the average value of environmental decibel parameters in the same appointed time point, then calculating the average value of station boundary decibel parameters and environmental decibel parameters in the same appointed time point to obtain the decibel influence difference value of each station boundary acquisition point, then calculating the discrete value of the corresponding decibel influence difference value, comparing the discrete value with a preset discrete threshold value, correspondingly deleting the decibel influence difference value with the discrete value larger than the discrete threshold value, and calculating the average value of deleted decibel influence difference values;
step three, signal analysis
Acquiring a plurality of station boundary decibel parameters and a plurality of environment decibel parameters acquired at all appointed time points of an appointed period, dividing the appointed period into a plurality of standard time periods, setting a plurality of appointed time points in each standard time period, obtaining a corresponding average value of deleted decibel influence differences after data processing, adding the average value with the environment decibel average value corresponding to the appointed time points to obtain a station boundary decibel comparison value, matching the station boundary decibel comparison value with a plurality of preset decibel intervals, acquiring corresponding decibel marks, and statistically analyzing a plurality of covering time periods in each standard time period;
step four, time period analysis
Acquiring all the covering time periods of each standard time period in a specified period, acquiring the covering time periods containing the same specified time point in each standard time period, acquiring a plurality of covering time periods containing the same time point, acquiring the covering time periods with the same decibel marks in the plurality of covering time periods along with acquiring the decibel marks of the covering time periods containing the same time point, performing regular analysis on the covering time periods with the same decibel marks, acquiring the standard covering time period, counting the distribution signal rule of each standard time period according to the standard time period corresponding to the same covering time period of each decibel mark, and then entering a step five;
step five, masking and matching
First, adding corresponding masking music for the corresponding standard masking time period in the standard time period, and in the subsequent period, adding corresponding masking music for each standard masking time period in the corresponding standard time period according to the distribution signal rule of the appointed period for cyclic playing.
Preferably, the specific manner of data processing is as follows:
s21, respectively marking station boundary decibel parameters acquired at the same appointed time point asI=1, 2, … …, n, the number of station boundary decibel parameters at the same given point in time;
s22, respectively marking the environmental decibel parameters acquired at the same appointed time point asJ=1, 2, … …, m represents the number of environmental decibel parameters at the same given point in time, followed by +.>Obtaining the average value of the environmental decibel parameter at the time point, and recording the average value as the average value +.>
S23, then passing through the formulaObtaining the decibel influence difference value of each station boundary acquisition point>
Synchronous time-pieceCalculating adjacent difference values of station boundary decibel parameters obtained by all adjacent two decibel testers, then calculating the average value of all adjacent difference values, and recording the average value as
S24, then passDeriving the discrete value +.>Discrete value calculated +.>And->Comparing if->>/>Then consider the discrete value of the group +.>Oversized, according to->The corresponding +.>The values and correspondingly calculating the remaining discrete values L until +.>≤/>Wherein the saidIs a preset discrete threshold value;
s25, subsequently acquiring all deletedAnd find all deleted +.>Is then marked as
Preferably, the specific manner of signal analysis is as follows:
s31, dividing the time frame into a plurality of standard time periods in a specified period, setting a plurality of specified time points in each standard time period, and simultaneously acquiring data processing of each specified time point
S32, each designated time pointAnd +.>Adding to obtain corresponding station boundary decibel contrast value +.>Then all +.>Sequencing according to the time sequence, and generating a time sequence table;
s33, a plurality of preset decibel intervals are obtained, and decibel marks are carried out on the decibel intervals;
and comparing all station boundary decibelsThe decibels are matched with each decibel interval;
by a station boundary decibel contrast valueAs an example;
if the station boundary decibel comparison valueIn the corresponding decibel interval, the station-boundary decibel contrast value +.>Acquiring a corresponding decibel mark;
s34, sequentially acquiring the appointed time points of continuous identical decibel marks in a standard time period according to the sequence from front to back, recording the continuous appointed time points as a covering time period, and obtaining a plurality of covering time periods.
Preferably, the normalization analysis is performed by, for example, marking the same masking period in one decibel:
s421, recording the masking time periods with the same decibel marks as analysis time periods;
s422, in all analysis periods, acquiring the number of the appointed time points before the same appointed time point and marking the sameU=1, 2, … …, t represents the number of analysis periods, u represents what number of specified time standard periods, the number of specified time points after the same specified time point is obtained again, and it is marked +.>
S423, then will go throughDeriving a discrete value of the number of specified time points before the same specified time point for all analysis periods +.>Discrete value calculated +.>And->Comparing if->Then consider the discrete value of the group +.>Oversized, according to->The corresponding +.>Value and corresponding calculation of the remaining discrete value +.>Up to->≤/>Wherein->To participate in the mean value of the difference of the corresponding decibel effect of the corresponding discrete value, said +.>Is a preset discrete threshold value;
all undeleted is then extractedAnd find all undeleted +.>Is then marked as
S424, then in all analysis periods, obtaining the discrete value of the number of the specified time points after the same specified time point, and extracting all undeleted time pointsAnd find all undeleted +.>Mean value of>
S425, then passing through the formulaObtaining standard mask period->
Preferably, the distribution signal rule includes regular signals and irregular signals, and the statistical manner of the distribution signal rule is as follows:
firstly, sequencing standard time periods in a specified period according to a time sequence to generate a standard time period sequence table;
counting the number of the same decibel marks contained in the adjacent standard time period by using the decibel marks;
then searching a distribution rule of the standard time period according to the standard time period sequence table;
in a regular manner according toWherein f represents the number of the same decibel mark number values, if at least 3 groups +.>Judging that the standard time period in the appointed period is regular and can be circulated, and then generating a regular signal;
if the period is specifiedInner lower than 3 groupsThen the standard period within the specified period is judged to be irregular and circulated, and then an irregular signal is generated.
Preferably, the judging mode of adding corresponding masking music for the corresponding standard masking time periods in the corresponding standard time periods according to the distribution signal rule of the designated period for cyclic playing is as follows:
if the distribution signal rule obtained by analyzing the standard time period of the appointed period is an irregular signal, taking a group of standard time periods as a reference, and circularly playing each standard time period of the subsequent period according to the masking music corresponding to the reference;
if the distribution signal rule obtained by analyzing the standard period of the designated period is a regular signal, thenAnd (3) taking the corresponding standard time period as a reference, and circularly playing each standard time period of the subsequent period according to the masking music corresponding to the reference.
Preferably, the masking music is used for masking noise in a music mode, and meanwhile, the decibel value of the masking music is matched with the decibel value of the noise in the standard masking period.
Preferably, the method is also used for noise monitoring analysis in the following manner:
respectively marking station boundary decibel parameters acquired at the same designated time point asI=1, 2, … …, n, the number of station boundary decibel parameters at the same given point in time; the environmental decibel parameters collected at the same designated time point are respectively marked as +.>J=1, 2, … …, m representing the number of environmental decibel parameters at the same given point in time;
will thenAnd->Are all equal to the preset noise decibel standard->Comparing, and obtaining ++based on the comparison result>When (I)>Number t1 of (1), obtain->>/>When (I)>Number t2 of (1) acquisition->≤/>When (I)>Number t3 of (2) acquisition->When (I)>Number t4 of (2);
definition by independence verificationCalculating the relation coefficient between the station boundary decibel parameter and the environment decibel parameter>Wherein->Which represents the total amount of station decibel parameters and ambient decibel parameters;
will thenIs +.>∈{/>、/>And (3) comparing, and determining the influence degree of the noise of the substation boundary of the transformer substation on the environmental noise in the target range according to the comparison result.
Preferably, the saidAnd->The comparison result of (2) is as follows:
if it is</>The influence degree of the noise of the substation boundary on the environmental noise in the target range is low;
if it is≤/></>The influence degree of the noise of the substation boundary on the environmental noise in the target range is centered;
if it is≤/>The influence degree of the noise of the substation boundary on the environmental noise in the target range is high.
Advantageous effects
The invention provides a noise control and monitoring method for a substation boundary of a transformer substation. Compared with the prior art, the method has the following beneficial effects:
according to the invention, the station boundary decibel parameters and the environment decibel parameters are processed, and the purpose of accurately monitoring the station boundary noise data of the transformer substation is achieved by utilizing the difference analysis of the environmental noise data and the station boundary radiography data of the transformer substation in different periods, so that the influence of the environmental noise is avoided to be too large, the decibel value of the station boundary noise is increased, the subsequent noise data processing and signal analysis are facilitated, and the accuracy of the data analysis is improved;
according to the invention, through carrying out time period analysis on the noise emission and searching for the noise emission rule, the decibel of the masking music can be controlled when the noise masking is carried out later, so that the method is suitable for controlling different masking music at different stages, and can be flexibly used in all noise environments;
the method for masking noise by graceful music sound is used for controlling the noise of the substation boundary of the transformer substation, so that psychological uncomfortable response of the noise to surrounding residents of the transformer substation can be effectively reduced, meanwhile, the masking music is circularly played and controlled through a distribution signal law, further noise influence on surrounding residents of the transformer substation caused by long-term playing of music with the same decibel is avoided, the noise masking effect is improved, the influence of the masking music on the noise can be effectively controlled to mask with the minimum volume, uncomfortable feeling of the noise to people is relieved from a psychological angle, and excessive volume is avoided for achieving the masking effect, and hearing is damaged after long-term use;
according to the invention, through noise monitoring analysis, the influence degree of the noise of the substation boundary on the environmental noise in the target range can be effectively judged, so that related personnel can control the noise in the target range in a more reasonable mode.
Drawings
FIG. 1 is a schematic flow chart of the method of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As an embodiment of the invention
Referring to fig. 1, the present invention provides a technical solution: a method for controlling and monitoring the noise of the station boundary of a transformer substation comprises the following steps:
step one, information acquisition
In the target range, acquiring a plurality of station boundary decibel parameters and a plurality of environment decibel parameters acquired at a designated time point, wherein the station boundary decibel parameters are data obtained by monitoring noise of a station boundary acquisition point of a transformer substation through a decibel tester in the target range, and the environment decibel parameters are data obtained by monitoring positions which are not influenced by the noise of the transformer substation through the decibel tester in the target range.
Step two, data processing
S21, respectively marking station boundary decibel parameters acquired at the same appointed time point asI=1, 2, … …, n, the number of station boundary decibel parameters at the same given point in time;
s22, respectively marking the environmental decibel parameters acquired at the same appointed time point asJ=1, 2, … …, m represents the number of environmental decibel parameters at the same given point in time, followed by +.>Obtaining the average value of the environmental decibel parameter at the time point, and recording the average value as the average value +.>
S23, then passing through the formulaObtaining the decibel influence difference value of each station boundary acquisition point>
Simultaneously calculating adjacent difference values of station boundary decibel parameters obtained by all adjacent two decibel testers, then calculating the average value of all adjacent difference values, and recording the average value as
S24, then passDeriving the discrete value +.>Discrete value calculated +.>And->Comparing if->>/>Then consider the discrete value of the group +.>Oversized, according to->The corresponding +.>Value and corresponding calculation of the remaining discrete value +.>Up to->≤/>Wherein the saidIs a preset discrete threshold value;
s25, subsequently acquiring all deletedAnd find all deleted +.>Is then marked as
According to the embodiment, the station boundary decibel parameters and the environment decibel parameters are processed, and the purpose of accurately monitoring the station boundary noise data of the transformer substation is achieved by utilizing the difference analysis of the environmental noise data and the station boundary radiography data of the transformer substation in different periods, so that the influence of the environmental noise is avoided from being too large, the decibel value of the station boundary noise is increased, the subsequent noise data processing and signal analysis are facilitated, and the accuracy of the data analysis is improved.
Step three, signal analysis
S31, atDividing the specified period into a plurality of standard time periods, setting a plurality of specified time points in the standard time periods, and simultaneously acquiring data processing of each specified time point
S32, each designated time pointAnd +.>Adding to obtain corresponding station boundary decibel contrast value +.>Then all +.>Sequencing according to the time sequence, and generating a time sequence table;
s33, setting a plurality of decibel intervals, and marking the decibel intervals;
and comparing all station boundary decibelsThe decibels are matched with each decibel interval;
by a station boundary decibel contrast valueAs an example;
if the station boundary decibel comparison valueIn the corresponding decibel interval, the station-boundary decibel contrast value +.>Acquiring a corresponding decibel mark;
s34, sequentially acquiring the appointed time points of continuous identical decibel marks in a standard time period according to the sequence from front to back, recording the continuous appointed time points as a covering time period, and obtaining a plurality of covering time periods.
Step four, time period analysis
S41, acquiring all covering time periods of each standard time period in a specified period;
then, obtaining a covering time period containing the same appointed time point in each standard time period, and obtaining a plurality of covering time periods containing the same time point;
s42, along with obtaining a plurality of decibel marks of the covering time periods containing the same time point, obtaining covering time periods with the same decibel mark in the plurality of covering time periods, and then analyzing the covering time periods with the same decibel mark;
taking one decibel to mark the same masking period as an example:
s421, recording the masking time periods with the same decibel marks as analysis time periods;
s422, in all analysis periods, acquiring the number of the appointed time points before the same appointed time point and marking the sameU=1, 2, … …, t represents the number of analysis periods, u represents what number of specified time standard periods, the number of specified time points after the same specified time point is obtained again, and it is marked +.>
S423, then will go throughDeriving a discrete value of the number of specified time points before the same specified time point for all analysis periods +.>Discrete value calculated +.>And->Comparing if->Then consider the discrete value of the group +.>Oversized, according to->The corresponding +.>Value and corresponding calculation of the remaining discrete value +.>Up to->≤/>Wherein->To participate in the mean value of the difference of the corresponding decibel effect of the corresponding discrete value, said +.>Is a preset discrete threshold value;
all undeleted is then extractedAnd find all undeleted +.>Is then marked as
S424, then in all analysis periods, obtaining the discrete value of the number of the specified time points after the same specified time point, and extracting all undeleted time pointsAnd find all undeleted +.>Mean value of>
S425, then passing through the formulaObtaining standard mask period->
S43, extracting standard time periods corresponding to the masking time periods with the same decibel marks, and counting distribution signal rules of the standard time periods, wherein the distribution signal rules comprise regular signals and irregular signals;
the statistical manner of the distribution signal law is as follows:
firstly, sequencing standard time periods in a specified period according to a time sequence to generate a standard time period sequence table;
counting the number of the same decibel marks contained in the adjacent standard time period by using the decibel marks;
then searching a distribution rule of the standard time period according to the standard time period sequence table;
in a regular manner according toWherein f represents the number of the same decibel mark number values, if at least 3 groups +.>Judging the standard time in the specified periodThe segments are regularly circulated, and then a regular signal is generated;
if the number of the groups is lower than 3 in the specified periodJudging that the standard period in the appointed period is irregular and can be circulated, and then generating an irregular signal;
according to the embodiment, through time period analysis on noise emission and searching for the noise emission rule, when noise covering is carried out subsequently, the decibel of music covering can be controlled, so that the method is suitable for controlling different music covering at different stages, and can be flexibly used in all noise environments.
Step five, masking and matching
S51, adding corresponding covering music for the standard covering time period corresponding to the standard time period;
the masking music is used for masking noise in a music mode, the decibel value of the masking music is matched with the decibel value of the noise in the standard masking period, and natural ecological environment sounds such as water flow sound, wind sound, rain sound and the like are selected as the masking music;
s52, in a subsequent period, adding corresponding masking music for each standard masking period in the corresponding standard period according to the distribution signal rule of the designated period to carry out cyclic play;
if the distribution signal rule obtained by analyzing the standard time period of the appointed period is an irregular signal, taking a group of standard time periods as a reference, and circularly playing each standard time period of the subsequent period according to the masking music corresponding to the reference;
if the distribution signal rule obtained by analyzing the standard period of the designated period is a regular signal, thenThe corresponding standard time period is taken as a reference, and each standard time period of the subsequent period is circularly played according to the masking music corresponding to the reference;
according to the method for masking noise by graceful music sound, the noise of the substation boundary is controlled, psychological uncomfortable response of the noise to surrounding residents of the substation can be effectively reduced, meanwhile, music masking is circularly played and controlled through a distribution signal law, further noise influence on surrounding residents of the substation caused by long-term playing of music with the same decibel is avoided, the masking effect of the noise is improved, the influence of noise masking by the music masking with the minimum volume can be effectively controlled, uncomfortable feeling of the noise to people is relieved from a psychological angle, excessive volume is avoided for achieving the masking effect, and hearing is damaged after long-term use.
As embodiment II of the present invention
The present embodiment is further configured to perform noise monitoring analysis based on the first embodiment, and the method is as follows:
respectively marking station boundary decibel parameters acquired at the same designated time point asI=1, 2, … …, n, the number of station boundary decibel parameters at the same given point in time;
respectively marking the environmental decibel parameters acquired at the same designated time point asJ=1, 2, … …, m representing the number of environmental decibel parameters at the same given point in time;
will thenAnd->Are all equal to the preset noise decibel standard->Comparison is performed:
if it is≤/>Then represent the station boundary decibel parameter pairThe residents do not generate noise influence;
if it is>/>The station boundary decibel parameter is used for indicating that noise influence is generated on residents;
if it is≤/>The environmental decibel parameter is indicated to have no noise influence on residents;
if it is>/>The environmental decibel parameter is expressed to have noise influence on residents;
obtaining according to the comparison result≤/>When (I)>Number t1 of (1), obtain->>/>When (I)>Number t2 of (1) acquisition->≤/>When (I)>Number t3 of (2) acquisition->>/>When (I)>Number t4 of (2);
definition by independence verificationCalculating the relation coefficient between the station boundary decibel parameter and the environment decibel parameter>Wherein->Which represents the total amount of station decibel parameters and ambient decibel parameters;
will thenIs +.>∈{/>、/>Comparison:
if it is</>The influence degree of the noise of the substation boundary on the environmental noise in the target range is low;
if it is≤/></>The influence degree of the noise of the substation boundary on the environmental noise in the target range is centered;
if it is≤/>The influence degree of the noise of the substation boundary on the environmental noise in the target range is high.
Through carrying out noise monitoring analysis, can effectually judge the influence degree of transformer substation's station boundary noise to the within-range environmental noise of target for the noise in the within-range of target can be controlled to relevant personnel's mode that can adopt more rationally.
And all that is not described in detail in this specification is well known to those skilled in the art.
The foregoing describes one embodiment of the present invention in detail, but the disclosure is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.

Claims (6)

1. The method for controlling and monitoring the noise of the substation boundary of the transformer substation is characterized by comprising the following steps of:
step one, information acquisition
Acquiring a plurality of station boundary decibel parameters and a plurality of environment decibel parameters acquired at a designated time point in a target range, wherein the station boundary decibel parameters are data obtained by monitoring noise of a station boundary acquisition point of a transformer substation through a decibel tester in the target range, and the environment decibel parameters are data obtained by monitoring positions which are not influenced by the noise of the transformer substation through the decibel tester in the target range;
step two, data processing
Firstly, calculating the average value of environmental decibel parameters in the same appointed time point, then carrying out data processing on the average value of station boundary decibel parameters and environmental decibel parameters in the same appointed time point, and obtaining the average value of deleted decibel influence difference values according to the processing result;
the specific mode is as follows:
s21, respectively marking station boundary decibel parameters acquired at the same appointed time point asI=1, 2, … …, n, the number of station boundary decibel parameters at the same given point in time;
s22, respectively marking the environmental decibel parameters acquired at the same appointed time point asJ=1, 2, … …, m represents the number of environmental decibel parameters at the same given point in time, followed by +.>Obtaining the average value of the environmental decibel parameter at the time point, and recording the average value as the average value +.>
S23, then passing through the formulaObtaining the decibel influence difference value of each station boundary acquisition point>
Simultaneously calculating all adjacentAdjacent difference values of station boundary decibel parameters obtained by the two decibel testers are then calculated, and the average value of all adjacent difference values is recorded as
S24, then passDeriving the discrete value +.>Discrete value calculated +.>And->Comparing if->>/>Then consider the discrete value of the group +.>Oversized, according to->The corresponding +.>Value and corresponding calculation of the remaining discrete value +.>Up to->≤/>Wherein, said->Is a preset discrete threshold value;
s25, subsequently acquiring all deletedAnd find all deleted +.>Is then marked as +.>
Step three, signal analysis
Acquiring a plurality of station boundary decibel parameters and a plurality of environment decibel parameters acquired at all appointed time points of an appointed period, dividing the appointed period into a plurality of standard time periods, setting a plurality of appointed time points in each standard time period, obtaining a corresponding average value of deleted decibel influence differences after data processing, carrying out signal analysis, acquiring a corresponding decibel mark according to an analysis result, and carrying out statistical analysis on a plurality of covering time periods in each standard time period;
the specific way of signal analysis is as follows:
s31, dividing the time frame into a plurality of standard time periods in a specified period, setting a plurality of specified time points in each standard time period, and simultaneously acquiring data processing of each specified time point
S32, each designated time pointAnd +.>Adding to obtain corresponding station boundary decibel contrast value +.>Then all +.>Sequencing according to the time sequence, and generating a time sequence table;
s33, a plurality of preset decibel intervals are obtained, and decibel marks are carried out on the decibel intervals;
and comparing all station boundary decibelsThe decibels are matched with each decibel interval;
by a station boundary decibel contrast valueAs an example;
if the station boundary decibel comparison valueIn the corresponding decibel interval, the station-boundary decibel contrast value +.>Acquiring a corresponding decibel mark;
s34, sequentially acquiring appointed time points with continuous same decibel marks in a standard time period according to the sequence from front to back, recording the continuous appointed time points as a covering time period, and obtaining a plurality of covering time periods;
step four, time period analysis
Acquiring all the covering time periods of each standard time period in a specified period, acquiring the covering time periods containing the same specified time point in each standard time period, acquiring a plurality of covering time periods containing the same time point, acquiring the covering time periods with the same decibel marks in the plurality of covering time periods along with acquiring the decibel marks of the covering time periods containing the same time point, performing regular analysis on the covering time periods with the same decibel marks, acquiring the standard covering time periods according to analysis results, and counting the distribution signal rule of each standard time period according to the standard time periods corresponding to the same covering time periods of each decibel mark;
the way of the normalization analysis is as follows, a masking period with the same decibel mark is selected:
s421, recording the masking time periods with the same decibel marks as analysis time periods;
s422, in all analysis periods, acquiring the number of the appointed time points before the same appointed time point and marking the sameU=1, 2, … …, t represents the number of analysis periods, u represents what number of specified time standard periods, the number of specified time points after the same specified time point is obtained again, and it is marked +.>
S423, then will go throughDeriving a discrete value of the number of specified time points before the same specified time point for all analysis periods +.>Discrete value calculated +.>And->Comparing if->>/>Then consider the discrete value of the group +.>Oversized, according to->The corresponding +.>Value and corresponding calculation of the remaining discrete value +.>Up to->≤/>Wherein->To participate in the mean value of the difference of the corresponding decibel effect of the corresponding discrete value, said +.>Is a preset discrete threshold value;
all undeleted is then extractedAnd find all undeleted +.>Is then marked as +.>
S424, then in all analysis periods, obtain the sameA discrete value of the number of specified time points after a specified time point, and extracting all undeleted time points by the above methodAnd find all undeleted +.>Mean value of>
S425, then passing through the formulaObtaining standard mask period->
Step five, masking and matching
Corresponding masking music is added for the corresponding standard masking time period in the standard time period, and in the subsequent period, the corresponding masking music is added for each standard masking time period in the corresponding standard time period according to the distribution signal rule of the designated period for cyclic playing.
2. The method for controlling and monitoring the noise of the substation boundary of the transformer substation according to claim 1, wherein the method comprises the following steps: the distribution signal rule comprises regular signals and irregular signals, and the statistical mode of the distribution signal rule is as follows:
firstly, sequencing standard time periods in a specified period according to a time sequence to generate a standard time period sequence table;
counting the number of the same decibel marks contained in the adjacent standard time period by using the decibel marks;
then searching a distribution rule of the standard time period according to the standard time period sequence table;
in a regular manner according toWherein f represents the number of the same decibel mark number values, if at least 3 groups +.>Judging that the standard time period in the appointed period is regular and can be circulated, and then generating a regular signal;
if the number of the groups is lower than 3 in the specified periodThen the standard period within the specified period is judged to be irregular and circulated, and then an irregular signal is generated.
3. The method for controlling and monitoring the noise of the substation boundary of the transformer substation according to claim 2, wherein the method comprises the following steps: the judgment method for circularly playing the corresponding masking music for each standard masking period in the corresponding standard period according to the distribution signal rule of the designated period is as follows:
if the distribution signal rule obtained by analyzing the standard time period of the appointed period is an irregular signal, taking a group of standard time periods as a reference, and circularly playing each standard time period of the subsequent period according to the masking music corresponding to the reference;
if the distribution signal rule obtained by analyzing the standard period of the designated period is a regular signal, thenAnd (3) taking the corresponding standard time period as a reference, and circularly playing each standard time period of the subsequent period according to the masking music corresponding to the reference.
4. A method of substation boundary noise control and monitoring according to claim 3, wherein: the masking music is used for masking noise in a music mode, and meanwhile, the decibel value of the masking music is matched with the decibel value of the noise in the standard masking period.
5. The method for controlling and monitoring the noise of the substation boundary of the transformer substation according to claim 1, wherein the method comprises the following steps: the method is also used for noise monitoring analysis in the following way:
respectively marking station boundary decibel parameters acquired at the same designated time point asI=1, 2, … …, n, the number of station boundary decibel parameters at the same given point in time; the environmental decibel parameters collected at the same designated time point are respectively marked as +.>J=1, 2, … …, m representing the number of environmental decibel parameters at the same given point in time;
will thenAnd->Are all equal to the preset noise decibel standard->Comparing, and obtaining ++based on the comparison result>≤/>In the time-course of which the first and second contact surfaces,number t1 of (1), obtain->>/>When (I)>Number t2 of (1) acquisition->≤/>When (I)>Number t3 of (2) acquisition->>/>In the time-course of which the first and second contact surfaces,number t4 of (2);
definition by independence verificationCalculating the relation coefficient between the station boundary decibel parameter and the environment decibel parameter>Wherein->Which represents the total amount of station decibel parameters and ambient decibel parameters;
will thenIs +.>∈{/>、/>And (3) comparing, and determining the influence degree of the noise of the substation boundary of the transformer substation on the environmental noise in the target range according to the comparison result.
6. The method for controlling and monitoring the noise of the substation boundary of the transformer substation according to claim 5, wherein the method comprises the following steps: the saidAnd (3) withThe comparison result of (2) is as follows:
if it is</>The influence degree of the noise of the substation boundary on the environmental noise in the target range is low;
if it is≤/></>The influence degree of the noise of the substation boundary on the environmental noise in the target range is centered;
if it is≤/>The influence degree of the noise of the substation boundary on the environmental noise in the target range is high.
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105939695A (en) * 2013-09-02 2016-09-14 阿斯派克影像有限公司 Incubator having noise elimination mechanism and method of same
CN110383373A (en) * 2017-02-06 2019-10-25 消音器设备有限公司 It is eliminated using the noise that segment frequence dependent phase is offset
CN211719256U (en) * 2020-01-15 2020-10-20 北京翼扬环境工程有限公司 Open office top sound string masking system
CN112504439A (en) * 2020-12-08 2021-03-16 国网湖南省电力有限公司 Method and device for improving online monitoring accuracy of transformer substation boundary noise

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8972251B2 (en) * 2011-06-07 2015-03-03 Qualcomm Incorporated Generating a masking signal on an electronic device

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105939695A (en) * 2013-09-02 2016-09-14 阿斯派克影像有限公司 Incubator having noise elimination mechanism and method of same
CN110383373A (en) * 2017-02-06 2019-10-25 消音器设备有限公司 It is eliminated using the noise that segment frequence dependent phase is offset
CN211719256U (en) * 2020-01-15 2020-10-20 北京翼扬环境工程有限公司 Open office top sound string masking system
CN112504439A (en) * 2020-12-08 2021-03-16 国网湖南省电力有限公司 Method and device for improving online monitoring accuracy of transformer substation boundary noise

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
倪园 ; 张广洲 ; 张小武 ; 路遥 ; 张业茂 ; 陈豫朝 ; .特高压交流试验基地的噪声评估与治理.高电压技术.2009,(08),全文. *

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Denomination of invention: A Method for Noise Control and Monitoring at Substation Boundary

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