CN111583898A - Space environment multi-directional selective noise reduction system and method - Google Patents

Space environment multi-directional selective noise reduction system and method Download PDF

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CN111583898A
CN111583898A CN202010455184.6A CN202010455184A CN111583898A CN 111583898 A CN111583898 A CN 111583898A CN 202010455184 A CN202010455184 A CN 202010455184A CN 111583898 A CN111583898 A CN 111583898A
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CN111583898B (en
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舒伟伟
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Suzhou Shuangfu Intelligent Technology Co ltd
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    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
    • G10K11/00—Methods 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
    • G10K11/16—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/175—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
    • G10K11/178—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
    • G10K11/1781—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase characterised by the analysis of input or output signals, e.g. frequency range, modes, transfer functions
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
    • G10K11/00—Methods 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
    • G10K11/16—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/175—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
    • G10K11/178—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
    • G10K11/1783—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase handling or detecting of non-standard events or conditions, e.g. changing operating modes under specific operating conditions
    • G10K11/17837—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase handling or detecting of non-standard events or conditions, e.g. changing operating modes under specific operating conditions by retaining part of the ambient acoustic environment, e.g. speech or alarm signals that the user needs to hear

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Abstract

The invention discloses a space environment multi-direction selective noise reduction system and a method, which comprises a noise detection module, a noise processing module, a central control system, a voice eliminating module and a noise reduction module, wherein the noise detection module is used for detecting noise in the environment, the noise processing module is used for processing the noise detected by the noise detection module, the central control system is used for controlling the whole multi-point noise reduction system, the voice eliminating module is used for identifying and eliminating voice in the noise detected by the noise detection module, and the noise reduction module is used for reducing the noise detected by the noise detection module. The method is scientific and reasonable, is safe and convenient to use, avoids the operation of noise reduction treatment aiming at each noise signal, reduces the step of one-by-one noise reduction aiming at a plurality of noise signals, ensures that the multipoint noise reduction system realizes the distinguishing noise reduction of the noise signals, and ensures that the multipoint noise reduction system is more intelligent and humanized.

Description

Space environment multi-directional selective noise reduction system and method
Technical Field
The invention relates to the technical field of noise reduction, in particular to a system and a method for selectively reducing noise in a multi-direction space environment.
Background
The noise is the sound that sends when producing irregular motion by the object, the noise can seriously influence people's work and life, can also harm people's healthy and life safety under the serious condition, and block and offset the adoption to the noise at present and fall the mode of making an uproar passively, fall the noise voluntarily and produce the reverse sound wave that equals with external noise through noise reduction system, with the noise neutralization, thereby realize falling the effect of making an uproar, fall passively and mainly block external noise through sound-proof material, current noise initiative noise reduction system has following problem when using:
1. the existing noise reduction processing mode for noise mostly adopts one-to-one noise reduction, when a plurality of noises exist in a space at the same time, more resources and cost are needed for noise reduction processing, and a plurality of noise reduction signals are mutually independent and have certain influence on each other, so that the noise reduction effect is influenced;
2. when the existing multipoint noise reduction system is used for reducing the noise of the space noise, the human voice can be weakened, and the normal communication of people is influenced;
therefore, there is a need for a system and method for noise reduction with multi-directional selectivity in space environment to achieve the above mentioned problems.
Disclosure of Invention
The invention aims to provide a system and a method for multi-directional selective noise reduction in a space environment, which aim to solve the problems in the prior art.
In order to achieve the purpose, the invention provides the following technical scheme: a multi-directional selective noise reduction system in a space environment comprises a noise detection module, a noise processing module, a central control system, a voice eliminating module and a noise reduction module;
the noise detection module is used for detecting noise in the environment, the noise detection module is a sound sensor, detected noise signals can cause the change of internal capacitance to generate tiny voltage to realize the detection of the noise signals, the noise processing module is used for processing the noise detected by the noise detection module so as to carry out subsequent analysis on the detected noise signals, the gradual change type noise reduction of the noise signals can be realized, the mutual influence among the noise reduction signals is avoided, the central control system is used for controlling the whole multipoint noise reduction system, the judgment on the type of the noise signals is realized according to historical big data and noise signal analysis data, the voice eliminating module is used for identifying and eliminating voices in the noise detected by the noise detection module, and the influence of the multipoint noise reduction system on the sound signals of human conversation is avoided, for example: the meeting conversation, well remote conversation etc. and the frequency of conversation can be weakened to the multiple spot noise reduction system, and then influences normal conversation, the module of making an uproar of falling is used for falling the noise that the noise detection module detected and makes an uproar, realizes the elimination to noise signal, has reduced unnecessary noise signal and has caused the influence to people's normal work and life.
According to the technical scheme, the noise processing module comprises a frequency calculation unit, a label adding unit, a noise sequencing unit and a noise extraction unit;
the frequency calculation unit is used for calculating the frequency of the noise signal detected by the noise detection module, the tiny voltage generated by the sound sensor is converted into 0-5V voltage, the voltage is received by the data acquisition unit through A/D conversion and is transmitted to the computer to calculate the frequency of the noise signal, the calculation process belongs to the prior art, and therefore redundant description is not needed again, the label adding unit is used for adding a unique label to the noise signal detected by the noise detection module, the noise signal is convenient to process according to the label in the subsequent process, the phenomenon of disorder is avoided, the noise sorting unit sorts the noise signal according to the calculation result of the frequency calculation unit, the sorting is carried out in a descending order mode, the noise signal with the highest frequency is arranged at the first position, and the noise signal with the lowest frequency is arranged at the last position, the noise extraction unit is used for extracting the noise signal with the highest frequency, so that noise reduction processing can be preferentially carried out on the noise signal with the highest frequency, partial cancellation of the noise signal with the lower frequency is realized, on one hand, noise reduction processing can be carried out on the noise signal with the lower frequency in the noise reduction process, and on the other hand, mutual influence between the noise reduction signals is avoided.
According to the technical scheme, the voice eliminating module comprises a timing statistic unit, a noise analysis unit, a noise eliminating unit and a storage database;
the timing statistical unit is used for measuring the duration of the noise signal as one of the standards for judging the human voice noise signal, and has feasibility because the speaking voice is discontinuous in the conversation process of a human, the duration of the noise signal is used as one of the judgment standards, the noise analysis unit is used for analyzing the noise signal according to the statistical data of the timing statistical unit and the calculation data of the frequency calculation unit, the central control system judges whether the noise signal is the human voice noise signal according to the analysis result of the noise analysis unit and the storage data in the storage database, the noise elimination unit is used for eliminating the human voice noise signal judged by the central control system from the noise signal detected by the noise detection module, so that the human voice noise signal is prevented from being weakened to influence the normal conversation of the human when the noise is reduced in the later period, the storage database is used for storing the eliminated voice noise signal data, and is convenient for later calling and comparison.
According to the technical scheme, the noise reduction module comprises a noise reduction circuit and a noise reduction loudspeaker;
the noise reduction circuit is used for generating an electric signal with the same amplitude and the opposite phase of the noise signal according to the frequency of the noise signal to offset the noise signal, and the noise reduction loudspeaker is used for converting the electric signal generated by the noise reduction circuit into sound waves and carrying out noise reduction processing on the noise signal;
the output end of the tag adding unit is connected with the input end of the noise detection module, the output end of the noise detection module is connected with the input ends of the timing statistic unit and the frequency calculation unit, the output ends of the timing statistic unit and the frequency calculation unit are connected with the input end of the noise analysis unit, the output ends of the noise analysis unit and the storage database are connected with the input end of the central control system, the output end of the central control system is connected with the input ends of the noise eliminating unit and the noise sorting unit, the output end of the noise eliminating unit is connected with the input end of the storage database, the output end of the noise sorting unit is connected with the input end of the noise extraction unit, the output end of the noise extraction unit is connected with the input end of the noise reduction circuit, and the output.
A multi-azimuth selective noise reduction method for a spatial environment comprises the following steps:
s1, detecting the noise in the environment by using a noise detection module;
s2, processing the detected noise and judging the type of the noise;
s3, according to the classification result of the noise, eliminating the voice of talking and speaking;
s4, processing and sequencing the rest noises in a descending order;
s5, carrying out noise reduction processing on the first bit noise in descending order;
and S6, repeating S1-S5 until noise reduction is realized by noise in multiple directions in the environment.
According to the above technical solution, in S1, the noise detection module is a sound sensor, the noise detection module detects noise signals, a label is added to each noise signal by the label adding unit, the label of each noise signal is unique, and the label is a serial number of the sequence of the noise signals detected by the noise detection module, because the noise signals are multi-point noise signals, the problem of noise signal confusion in the later period is avoided.
According to the above technical solution, in S2, the noise detection module transmits the detected noise signal containing the tag to a frequency calculation unit, the frequency calculation unit is used to obtain the frequency f of the current noise signal, the frequency calculation of the noise signal belongs to the prior art, and is not described herein in detail, the noise detection module feeds back the detection information of the noise signal to a timing statistic unit, the timing statistic unit records the duration time t of the noise signal, the frequency calculation unit transmits the calculated frequency f of the noise signal and the duration time t of the noise signal recorded by the timing statistic unit to a noise analysis unit, the noise analysis unit analyzes the noise signal according to the frequency f and the duration time t of the noise signal, and the noise analysis unit classifies the noise signal with the noise frequency of f ± a and discontinuous noise frequency into one class, using the set fCollection＝{f1，f2，f3，...，fnDenotes where | fi-fk|≤a，foAnd fkSet of representations fCollectionThe frequency of any two different noise signals can be analyzed, the noise analysis unit analyzes the first noise signals detected by the noise detection module, determines whether the noise signals need to be subjected to noise reduction processing according to the analysis result, and does not wait for the noise signals to disappearThen, the noise analysis unit performs a summation analysis on all discontinuous noise signals, and the set f of the noise analysis unitCollectionThe duration utilization set t corresponding to the noise signal inCollection＝{t1，t2，t3，...，tnRepresents;
the average value of the duration of the noise signal is calculated according to the following formula:
Figure BDA0002508964230000061
when m is less than or equal to fiN is less than or equal to n
Figure BDA0002508964230000065
Preliminary decision noise signal frequency set fCollectionThe noise signal in the noise sorting unit is the voice, otherwise, the noise signal is directly transmitted to the noise sorting unit for sorting the noise frequency;
the noise analysis unit transmits the analysis result to a central control system, and the central control system calls the voice noise signals from the storage database to form a called voice noise signal frequency set FCollection＝{F1，F2，F3，...，FmAnd the corresponding duration set TCollection＝{T1，T2，T3，...，Tm}；
Calculating the frequency and the duration of the noise signal analyzed by the noise analysis unit and the frequency and the duration of the voice noise signal called in the storage database according to the following formula, and judging whether the noise signal analyzed by the noise analysis unit is matched with the voice noise signal called in the storage database or not:
Figure BDA0002508964230000062
Figure BDA0002508964230000063
wherein the content of the first and second substances,
Figure BDA0002508964230000064
representing the difference in frequency between the noise signal analyzed by the noise analysis unit and the recalled human voice noise signal in the stored database,
Figure BDA0002508964230000071
representing the difference of duration between the noise signal analyzed by the noise analysis unit and the voice noise signal retrieved from the stored database;
when in use
Figure BDA0002508964230000072
And is
Figure BDA0002508964230000073
And then, indicating that the corresponding human voice noise signal exists in the storage database, judging that the noise signal with the current frequency is the human voice noise signal, determining that the discontinuous noise signal under the current condition is the human voice noise signal, and continuously collecting and analyzing the current discontinuous noise signal.
According to the technical scheme, in S3, the voice noise signals judged in S2 are removed from a plurality of noise signals by the noise removing unit without carrying out noise reduction operation on the voice noise signals, the frequency and the corresponding duration of the voice noise signals judged by the noise removing unit are stored in the storage database and used as the basis of later comparison, and the comparison accuracy is continuously improved along with the continuous expansion of the storage database.
According to the above technical solution, in S4:
the frequencies of the noise signals after the elimination of the human voice noise signals are sorted by a noise sorting unit, and the set of the noise signals after the elimination of the human voice noise signals is f'Collection＝{f1，f2，f3，...，fs}；
F 'is set according to the following formula'CollectionThe noise signal frequencies in (1) are ordered:
Figure BDA0002508964230000074
wherein the content of the first and second substances,
Figure BDA0002508964230000075
denotes a set f'CollectionThe frequency difference between any two noise signal frequencies;
when in use
Figure BDA0002508964230000076
When, to fiAnd fi-kSorting is carried out, and fiIs arranged at fi-kA front face;
when in use
Figure BDA0002508964230000077
When f is greater than fiAnd fi-kBinding together for sequencing;
in S5:
extracting f 'by a noise extraction unit'CollectionThe noise signal with the highest noise frequency after sequencing is sent to a noise reduction circuit, the noise reduction circuit is used for analyzing the noise signal, a noise reduction signal with the same frequency and the opposite phase of the noise signal is calculated, the noise reduction signal is sent to a noise reduction loudspeaker, the noise reduction signal is released in a sound wave mode through the noise reduction loudspeaker, and f'CollectionAnd carrying out noise reduction processing on the noise signal with the maximum medium noise frequency.
According to the technical scheme, in S6, S1-S5 are repeated, noise reduction processing is performed on a plurality of noise signals in the environment until a plurality of noise signals in the environment are offset, because when the noise reduction processing is performed on the noise signal with higher frequency, the noise signal with lower frequency is weakened and covered, so that the noise reduction processing is performed on the noise signal, the noise signal with lower frequency can be processed in the continuous noise reduction processing process, on one hand, the frequency of the noise reduction processing is reduced, the calculation and operation efficiency of the system is greatly improved, on the other hand, mutual influence among the noise reduction signals is avoided, and the multi-point noise reduction effect is better.
Compared with the prior art, the invention has the beneficial effects that:
1. the method comprises the steps of conducting descending sequencing of noise frequency on a plurality of detected noise signals, conducting noise reduction processing on noise with the highest frequency in the descending sequencing, achieving partial cancellation on noise signals with lower frequency in the process of conducting noise reduction processing on the noise signals with the highest frequency, weakening the noise signals with lower frequency, conducting sequential processing on a plurality of remaining noise signals, avoiding the operation of conducting noise reduction processing on each noise signal, reducing the steps of conducting noise reduction one by one on the plurality of noise signals, avoiding mutual influence among the plurality of noise reduction signals, enabling the process of multi-point noise reduction to be simpler, and conducting more energy saving on the processing of multi-point noise reduction.
2. In the public speaking or the long-distance conversation process, utilize big data and the law analysis to the voice noise, reject the voice noise signal from a plurality of noise signals, avoided the multiple spot noise reduction system to fall and make an uproar to the voice noise, influence people's normal conversation for the multiple spot noise reduction system realizes making an uproar to distinguishing of noise signal falls, makes the multiple spot noise reduction system more intelligent, humanized.
Drawings
FIG. 1 is a schematic diagram of the modular components of a multi-directional selective noise reduction system in a spatial environment according to the present invention;
FIG. 2 is a schematic diagram of module connections of a multi-directional selective noise reduction system and method in a spatial environment according to the present invention;
FIG. 3 is a schematic diagram illustrating a noise reduction step of the multi-directional selective noise reduction method in a spatial environment according to the present invention;
FIG. 4 is a schematic diagram of a noise reduction process of the multi-directional selective noise reduction method in a spatial environment according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1-2, a multi-directional selective noise reduction system for a space environment comprises a noise detection module, a noise processing module, a central control system, a voice eliminating module and a noise reduction module;
the noise detection module is used for detecting noise in the environment, the noise detection module is a sound sensor, the detected noise signal can cause the internal capacitance change to generate tiny voltage, the detection of the noise signal is realized, the noise processing module is used for processing the noise detected by the noise detection module, so that the subsequent analysis of the detected noise signals can be carried out, the gradual noise reduction of the noise signals can be realized, the mutual influence among the noise reduction signals is avoided, the central control system is used for controlling the whole multipoint noise reduction system, according to historical big data and noise signal analysis data realization to the judgement of noise signal type, the people's voice in the noise that noise detection module detected is rejected to the people's voice rejection module and is used for discerning and rejecting, has avoided the sound signal that multiple spot noise reduction system led to the fact the influence to the people conversation, for example: the meeting conversation, well remote conversation etc. the frequency of conversation can be weakened to the multiple spot noise reduction system, and then influences normal conversation, and the module of making an uproar of falling is used for falling the noise that the noise detection module detected and makes an uproar, realizes the elimination to noise signal, has reduced unnecessary noise signal and has caused the influence to people's normal work and life.
The noise processing module comprises a frequency calculation unit, a label adding unit, a noise sequencing unit and a noise extraction unit;
the frequency calculation unit is used for calculating the frequency of the noise signal detected by the noise detection module, the tiny voltage generated by the sound sensor is converted into 0-5V voltage, the voltage is received by the data acquisition unit through A/D conversion and is transmitted to the computer to calculate the frequency of the noise signal, the calculation process belongs to the prior art, and therefore redundant description is not needed again, the label adding unit is used for adding a unique label to the noise signal detected by the noise detection module, the noise signal is conveniently processed according to the label in the following process, the phenomenon of confusion is avoided, the noise sorting unit sorts the noise signal according to the calculation result of the noise signal by the frequency calculation unit, the sorting is carried out in a descending order mode, the noise signal with the highest frequency is arranged at the first position, and the noise signal with the lowest frequency is arranged at the last position, the later stage of being convenient for is to the extraction of noise signal, and the noise extraction unit is used for extracting the noise signal that the frequency is the highest for can be preferred to the noise signal that the frequency is the highest to fall the noise processing, make the noise signal that realizes the frequency is lower partly offset, on the one hand, can realize falling the noise processing of making an uproar in the process of making an uproar along the band to the noise signal of lower frequency, on the other hand, has avoided the mutual influence between the signal of making an uproar.
The voice eliminating module comprises a timing statistic unit, a noise analysis unit, a noise eliminating unit and a storage database;
the timing statistic unit is used for measuring the duration of the noise signal as one of the standards for judging the human voice noise signal, the speaking voice is discontinuous in the conversation process of a human, the duration of the noise signal is used as one of the judgment standards, the timing statistic unit is feasible and is used for analyzing the noise signal according to the statistic data of the timing statistic unit and the calculation data of the frequency calculation unit, the central control system judges whether the noise signal is the human voice noise signal according to the analysis result of the noise analysis unit and the stored data in the storage database, the noise removing unit is used for removing the human voice noise signal judged by the central control system from the noise signal detected by the noise detection module, the human voice noise signal is prevented from being weakened to influence the normal conversation of the human when the noise is reduced in the later period, and the storage database is used for storing the removed human voice noise signal data, and the later calling and comparison are convenient.
The noise reduction module comprises a noise reduction circuit and a noise reduction loudspeaker;
the noise reduction circuit is used for generating an electric signal with the same amplitude and the opposite phase of the noise signal according to the frequency of the noise signal to offset the noise signal, and the noise reduction loudspeaker is used for converting the electric signal generated by the noise reduction circuit into sound waves and carrying out noise reduction treatment on the noise signal;
the output end of the label adding unit is connected with the input end of the noise detection module, the output end of the noise detection module is connected with the input ends of the timing statistical unit and the frequency calculation unit, the output ends of the timing statistical unit and the frequency calculation unit are connected with the input end of the noise analysis unit, the output ends of the noise analysis unit and the storage database are connected with the input end of the central control system, the output end of the central control system is connected with the input ends of the noise eliminating unit and the noise sorting unit, the output end of the noise eliminating unit is connected with the input end of the storage database, the output end of the noise sorting unit is connected with the input end of the noise extraction unit, the output end of the noise extraction unit is connected with the input end.
As shown in fig. 3 to 4, a method for multi-directional selective noise reduction in a spatial environment includes the following steps:
s1, detecting the noise in the environment by using a noise detection module;
s2, processing the detected noise and judging the type of the noise;
s3, according to the classification result of the noise, eliminating the voice of talking and speaking;
s4, processing and sequencing the rest noises in a descending order;
s5, carrying out noise reduction processing on the first bit noise in descending order;
and S6, repeating S1-S5 until noise reduction is realized by noise in multiple directions in the environment.
In S1, the noise detection module is a sound sensor, the noise detection module detects noise signals, and a label is added to each noise signal by the label adding unit, where the label of each noise signal is unique, and the label is a serial number of the noise detection module for detecting the sequence of the noise signals, so as to avoid the problem of noise signal confusion in the later period because of the multi-point noise signals.
At S2, noiseThe detection module transmits a detected noise signal containing a label to a frequency calculation unit, the frequency f of the current noise signal is obtained by using the frequency calculation unit, the frequency calculation of the noise signal belongs to the prior art, and is not described herein, the noise detection module feeds back detection information of the noise signal to a timing statistical unit, the duration t of the noise signal is recorded by using the timing statistical unit, the frequency calculation unit transmits the calculated frequency f of the noise signal and the duration t of the noise signal recorded by the timing statistical unit to a noise analysis unit, the noise analysis unit analyzes the noise signal according to the frequency f and the duration t of the noise signal, the noise analysis unit classifies the noise signal with the noise frequency of f +/-a and discontinuity into a class, and a set f is used for classifying the noise signal with the noise frequency of f +/-a and discontinuity into a classCollection＝{f1，f2，f3，...，fnDenotes where | fi-fk|≤a，fiAnd fkSet of representations fCollectionThe frequency of any two different noise signals can be analyzed, the noise analysis unit analyzes the first noise signals detected by the noise detection module, whether noise reduction processing needs to be carried out on the noise signals is determined according to the analysis result, not all discontinuous noise signals are subjected to total analysis after the noise signals disappear, and the noise analysis unit integrates fCollectionThe duration utilization set t corresponding to the noise signal inCollection＝{t1,t2，t3，...，tnRepresents;
the average value of the duration of the noise signal is calculated according to the following formula:
Figure BDA0002508964230000141
when m is less than or equal to fiN is less than or equal to n
Figure BDA0002508964230000148
Preliminary decision noise signal frequency set fCollectionWherein the noise signal is human voice, otherwise, the noise signal is directly transmitted to the noise sequencing unitSequencing the noise frequencies;
the noise analysis unit transmits the analysis result to the central control system, and the central control system calls the voice noise signals from the storage database to form a called voice noise signal frequency set FCollection＝{F1，F2，F3，...，FmAnd the corresponding duration set TCollection＝{T1，T2，T3，...，Tm}；
Calculating the frequency and the duration of the noise signal analyzed by the noise analysis unit and the frequency and the duration of the voice noise signal called in the storage database according to the following formula, and judging whether the noise signal analyzed by the noise analysis unit is matched with the voice noise signal called in the storage database or not:
Figure BDA0002508964230000142
Figure BDA0002508964230000143
wherein the content of the first and second substances,
Figure BDA0002508964230000144
representing the difference in frequency between the noise signal analyzed by the noise analysis unit and the recalled human voice noise signal in the stored database,
Figure BDA0002508964230000145
representing the difference of duration between the noise signal analyzed by the noise analysis unit and the voice noise signal retrieved from the stored database;
when in use
Figure BDA0002508964230000146
And is
Figure BDA0002508964230000147
Then, it indicates that there is voice noise signal corresponding to it in the stored data base, and judges that it is currentThe noise signal of the frequency is a human noise signal, the discontinuous noise signal under the current condition is determined to be the human noise signal, and the current discontinuous noise signal is continuously collected and analyzed.
In S3, the noise removing unit is used to remove the voice noise signal determined in S2 from the plurality of noise signals without performing noise reduction operation on the voice noise signal, and the noise removing unit stores the determined frequency and corresponding duration of the voice noise signal into the storage database as the basis of later comparison, so that the comparison accuracy is continuously improved along with the continuous expansion of the storage database.
In S4:
the frequencies of the noise signals after the elimination of the human voice noise signals are sorted by a noise sorting unit, and the set of the noise signals after the elimination of the human voice noise signals is f'Collection＝{f1，f2，f3，...，fs}；
F 'is set according to the following formula'CollectionThe noise signal frequencies in (1) are ordered:
Figure BDA0002508964230000151
wherein the content of the first and second substances,
Figure BDA0002508964230000152
denotes a set f'CollectionThe frequency difference between any two noise signal frequencies;
when in use
Figure BDA0002508964230000153
When, to fiAnd fi-kSorting is carried out, and fiIs arranged at fi-kA front face;
when in use
Figure BDA0002508964230000154
When f is greater than fiAnd fi-kBinding together for sequencing;
in S5:
extracting f 'by a noise extraction unit'CollectionThe noise signal with the highest noise frequency after sequencing is sent to a noise reduction circuit, the noise reduction circuit is used for analyzing the noise signal, a noise reduction signal with the same frequency and the opposite phase of the noise signal is calculated, the noise reduction signal is sent to a noise reduction loudspeaker, the noise reduction signal is released in a sound wave mode through the noise reduction loudspeaker, and f'CollectionAnd carrying out noise reduction processing on the noise signal with the maximum medium noise frequency.
In S6, repeating S1-S5, and performing noise reduction processing on a plurality of noise signals in the environment until a plurality of noise signals in the environment are cancelled out, because the noise signals with lower frequency are weakened and covered when performing noise reduction processing on the noise signals with higher frequency, so as to perform noise reduction processing on the noise signals, and the noise signals with lower frequency are processed in a continuous noise reduction processing process, on one hand, the frequency of noise reduction processing is reduced, so that the calculation and operation efficiency of the system is greatly improved, on the other hand, mutual influence among a plurality of noise reduction signals is avoided, and the multi-point noise reduction effect is better.
The first embodiment is as follows:
the noise detection module is sound sensor, and noise detection module detects the noise signal, utilizes the label to add the unit and adds the label for each noise signal, and the label of each noise signal is unique, and the label is the serial number of noise detection module detection noise signal order, because is the multiple spot noise signal, avoids the problem that the noise signal is in disorder to appear in the later stage.
The method comprises the steps that the frequency f of a current noise signal is obtained by a frequency calculation unit, a noise detection module feeds detection information of the noise signal back to a timing statistical unit, the duration time t of the noise signal is recorded by the timing statistical unit, the frequency calculation unit transmits the calculated frequency f of the noise signal and the duration time t of the noise signal recorded by the timing statistical unit to a noise analysis unit, the noise analysis unit analyzes the noise signal according to the frequency f and the duration time t of the noise signal, the noise analysis unit analyzes the noise signal with the noise frequency of f +/-50 and discontinuitySound signals are classified into one group, using the set fCollection＝{f1，f2，f3，...，f5Denotes {250, 220, 210, 240, 210}, where | fi-fk| is less than or equal to 50, the noise analysis unit collects fCollectionThe duration utilization set t corresponding to the noise signal inCollection＝{t1，t2，t3，...，tn-12, 15, 3, 8, 10;
the average value of the duration of the noise signal is calculated according to the following formula:
Figure BDA0002508964230000171
100≤filess than or equal to 300 and
Figure BDA0002508964230000172
preliminary decision noise signal frequency set fCollectionThe noise signal in the noise sorting unit is the voice, otherwise, the noise signal is directly transmitted to the noise sorting unit for sorting the noise frequency;
the noise analysis unit transmits the analysis result to the central control system, and the central control system calls the voice noise signals from the storage database to form a called voice noise signal frequency set FCollection＝{F1，F2，F3，...，Fm{210, 220, 180.., 230} and a corresponding set of durations TCollection＝{T1，T2，T3，...，Tm}＝{10，15，8，...，5}；
Calculating the frequency and the duration of the noise signal analyzed by the noise analysis unit and the frequency and the duration of the voice noise signal called in the storage database according to the following formula, and judging whether the noise signal analyzed by the noise analysis unit is matched with the voice noise signal called in the storage database or not:
Figure BDA0002508964230000173
Figure BDA0002508964230000174
wherein the content of the first and second substances,
Figure BDA0002508964230000181
representing the difference in frequency between the noise signal analyzed by the noise analysis unit and the recalled human voice noise signal in the stored database,
Figure BDA0002508964230000182
representing the difference of duration between the noise signal analyzed by the noise analysis unit and the voice noise signal retrieved from the stored database;
Figure BDA0002508964230000183
and is
Figure BDA0002508964230000184
The fact that the corresponding human voice noise signal exists in the storage database is indicated, the noise signal with the current frequency is judged to be the human voice noise signal, the fact that the discontinuous noise signal under the current condition is the human voice noise signal is determined, and the current discontinuous noise signal is collected and analyzed continuously.
The noise eliminating unit is used for eliminating the voice noise signals judged in the S2 from the plurality of noise signals without carrying out noise reduction operation on the voice noise signals, the frequency and the corresponding duration of the voice noise signals judged by the noise eliminating unit are stored in the storage database and used as the basis of later comparison, and the comparison accuracy can be continuously improved along with the continuous expansion of the storage database.
The frequencies of the noise signals after the elimination of the human voice noise signals are sorted by a noise sorting unit, and the set of the noise signals after the elimination of the human voice noise signals is f'Collection＝{f1，f2，f3，...，fs}＝{350，480，530，...，880}；
F 'is set according to the following formula'CollectionThe noise signal frequencies in (1) are ordered:
Figure BDA0002508964230000185
wherein the content of the first and second substances,
Figure BDA0002508964230000186
denotes a set f'CollectionThe frequency difference between any two noise signal frequencies;
Figure BDA0002508964230000187
to fiAnd fi-kSorting is carried out, and fiIs arranged at fi-kA front face;
Figure BDA0002508964230000188
will f isiAnd fi-kBinding together for sequencing;
extracting f 'by a noise extraction unit'CollectionThe noise signal with the highest noise frequency after sequencing is sent to a noise reduction circuit, the noise reduction circuit is used for analyzing the noise signal, a noise reduction signal with the same frequency and the opposite phase of the noise signal is calculated, the noise reduction signal is sent to a noise reduction loudspeaker, the noise reduction signal is released in a sound wave mode through the noise reduction loudspeaker, and f'CollectionAnd carrying out noise reduction processing on the noise signal with the maximum medium noise frequency.
Repeating the above operation, a plurality of noise signals in the environment are denoised, until a plurality of noise signals in the environment are offset, because when denoise treatment is carried out to the noise signal of higher frequency, cause weakening and covering to the noise signal of lower frequency, with this come to denoise treatment to the noise signal, can handle it at the processing in-process of continuous denoising treatment to the noise signal of lower frequency, on the one hand, the number of times of denoise treatment has been reduced, make the calculation and the operating efficiency of system improve greatly, on the other hand, the mutual influence between a plurality of noise reduction signals has been avoided, make the effect of multi-point denoising better.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.

Claims (10)

1. A multidirectional selective noise reduction system of space environment is characterized in that: the multipoint noise reduction system comprises a noise detection module, a noise processing module, a central control system, a voice eliminating module and a noise reduction module;
the noise detection module is used for detecting noise in the environment, the noise processing module is used for processing the noise detected by the noise detection module, the central control system is used for controlling the whole multipoint noise reduction system, the voice eliminating module is used for identifying and eliminating voice in the noise detected by the noise detection module, and the noise reducing module is used for reducing the noise detected by the noise detection module;
the noise reduction module comprises a noise reduction circuit and a noise reduction loudspeaker;
the noise reduction circuit is used for generating an electric signal with the same amplitude and the opposite phase of the noise signal according to the frequency of the noise signal, and the noise reduction loudspeaker is used for converting the electric signal generated by the noise reduction circuit into sound waves and carrying out noise reduction treatment on the noise signal.
2. The system of claim 1, wherein: the noise processing module comprises a frequency calculation unit, a label adding unit, a noise sequencing unit and a noise extraction unit;
the frequency calculation unit is used for calculating the frequency of the noise signal detected by the noise detection module, the label adding unit is used for adding a unique label to the noise signal detected by the noise detection module, the noise sequencing unit is used for sequencing the noise signal according to the calculation result of the frequency calculation unit on the noise signal, and the noise extraction unit is used for extracting the noise signal with the highest frequency.
3. The system of claim 2, wherein: the voice eliminating module comprises a timing statistical unit, a noise analyzing unit, a noise eliminating unit and a storage database;
the timing statistical unit is used for measuring the duration of the noise signals and is used as one of standards for judging the voice noise signals, the noise analysis unit is used for analyzing the noise signals according to statistical data of the timing statistical unit and calculation data of the frequency calculation unit, the central control system judges whether the noise signals are the voice noise signals according to analysis results of the noise analysis unit and storage data in the storage database, the noise rejection unit is used for rejecting the voice noise signals judged by the central control system from the noise signals detected by the noise detection module, and the storage database is used for storing the rejected voice noise signal data.
4. The system according to claim 3, wherein: the output end of the tag adding unit is connected with the input end of the noise detection module, the output end of the noise detection module is connected with the input ends of the timing statistic unit and the frequency calculation unit, the output ends of the timing statistic unit and the frequency calculation unit are connected with the input end of the noise analysis unit, the output ends of the noise analysis unit and the storage database are connected with the input end of the central control system, the output end of the central control system is connected with the input ends of the noise eliminating unit and the noise sorting unit, the output end of the noise eliminating unit is connected with the input end of the storage database, the output end of the noise sorting unit is connected with the input end of the noise extraction unit, the output end of the noise extraction unit is connected with the input end of the noise reduction circuit, and the output.
5. A multi-directional selective noise reduction method in a space environment is characterized by comprising the following steps: the noise reduction method comprises the following steps:
s1, detecting the noise in the environment by using a noise detection module;
s2, processing the detected noise and judging the type of the noise;
s3, according to the classification result of the noise, eliminating the voice of talking and speaking;
s4, processing and sequencing the rest noises in a descending order;
s5, carrying out noise reduction processing on the first bit noise in descending order;
and S6, repeating S1-S5 until noise reduction is realized by noise in multiple directions in the environment.
6. The method of claim 5, wherein the method further comprises: in S1, the noise detection module is a sound sensor, the noise detection module detects noise signals, and a label is added to each noise signal by the label adding unit, the label of each noise signal being unique, the label being a serial number of a sequence in which the noise detection module detects the noise signals.
7. The method of claim 6, wherein the method comprises: in S2, the noise detection module transmits the detected noise signal containing the tag to a frequency calculation unit, the frequency calculation unit obtains the frequency f of the current noise signal, the noise detection module feeds back the detection information of the noise signal to a timing statistic unit, the timing statistic unit records the duration t of the noise signal, and the frequency calculation unit records the calculated frequency f of the noise signal and the noise recorded by the timing statistic unitThe duration time t of the sound signal is transmitted to a noise analysis unit, the noise analysis unit analyzes the noise signal according to the frequency f and the duration time t of the noise signal, the noise analysis unit classifies discontinuous noise signals with the noise frequency of f +/-a into one class, and a set f is utilizedCollection＝{f1，f2，f3，...，fnDenotes where | fi-fk|≤a，fiAnd fkSet of representations fCollectionOf the noise analysis unit will aggregate fCollectionThe duration utilization set t corresponding to the noise signal inCollection＝{t1，t2，t3，...，tnRepresents;
the average value of the duration of the noise signal is calculated according to the following formula:
Figure FDA0002508964220000041
when m is less than or equal to fiN is less than or equal to n
Figure FDA0002508964220000046
Preliminary decision noise signal frequency set fCollectionThe noise signal in the noise sorting unit is the voice, otherwise, the noise signal is directly transmitted to the noise sorting unit for sorting the noise frequency;
the noise analysis unit transmits the analysis result to a central control system, and the central control system calls the voice noise signals from the storage database to form a called voice noise signal frequency set FCollection＝{F1，F2，F3，...，FmAnd the corresponding duration set TCollection＝{T1，T2，T3，...，Tm}；
Calculating the frequency and the duration of the noise signal analyzed by the noise analysis unit and the frequency and the duration of the voice noise signal called in the storage database according to the following formula, and judging whether the noise signal analyzed by the noise analysis unit is matched with the voice noise signal called in the storage database or not:
Figure FDA0002508964220000042
Figure FDA0002508964220000043
wherein the content of the first and second substances,
Figure FDA0002508964220000044
representing the difference in frequency between the noise signal analyzed by the noise analysis unit and the recalled human voice noise signal in the stored database,
Figure FDA0002508964220000045
representing the difference of duration between the noise signal analyzed by the noise analysis unit and the voice noise signal retrieved from the stored database;
when in use
Figure FDA0002508964220000051
And is
Figure FDA0002508964220000052
And then, indicating that the corresponding human voice noise signal exists in the storage database, judging that the noise signal with the current frequency is the human voice noise signal, determining that the discontinuous noise signal under the current condition is the human voice noise signal, and continuously collecting and analyzing the current discontinuous noise signal.
8. The method of claim 7, wherein the method comprises: in S3, the voice noise signal determined in S2 is removed from the plurality of noise signals by a noise removing unit without performing a noise reduction operation thereon, and the frequency and the corresponding duration of the determined voice noise signal are stored in a storage database by the noise removing unit as a basis for a later comparison.
9. The method of claim 8, wherein the method comprises: in S4:
the frequencies of the noise signals after the elimination of the human voice noise signals are sorted by a noise sorting unit, and the set of the noise signals after the elimination of the human voice noise signals is f'Collection＝{f1，f2，f3，...，fs}；
F 'is set according to the following formula'CollectionThe noise signal frequencies in (1) are ordered:
Figure FDA0002508964220000053
wherein the content of the first and second substances,
Figure FDA0002508964220000054
denotes a set f'CollectionThe frequency difference between any two noise signal frequencies;
when in use
Figure FDA0002508964220000055
When, to fiAnd fi-kSorting is carried out, and fiIs arranged at fo-kA front face;
when in use
Figure FDA0002508964220000056
When f is greater than fiAnd fi-kBinding together for sequencing;
in S5:
extracting f 'by a noise extraction unit'CollectionThe noise signal with the maximum noise frequency after sequencing is sent to a noise reduction circuit, the noise signal is analyzed by the noise reduction circuit, the noise reduction signal with the phase opposite to that of the noise signal and the same frequency is calculated, the noise reduction signal is sent to a noise reduction loudspeaker, and the noise reduction signal is released in a sound wave form through the noise reduction loudspeakerGo out, to f'CollectionAnd carrying out noise reduction processing on the noise signal with the maximum medium noise frequency.
10. The method of claim 9, wherein the method comprises: in S6, S1-S5 are repeated to perform noise reduction processing on the plurality of noise signals in the environment until a plurality of noise signals in the environment are cancelled.
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