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CN113920973A - Building space noise reduction method, device and system - Google Patents

Building space noise reduction method, device and system Download PDF

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CN113920973A
CN113920973A CN202111184485.0A CN202111184485A CN113920973A CN 113920973 A CN113920973 A CN 113920973A CN 202111184485 A CN202111184485 A CN 202111184485A CN 113920973 A CN113920973 A CN 113920973A
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noise
microphone
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CN113920973B (en
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杜书波
李德奎
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Liaocheng University
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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
    • G10K11/1785—Methods, e.g. algorithms; Devices
    • G10K11/17853—Methods, e.g. algorithms; Devices of the filter
    • 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
    • G10K11/1785—Methods, e.g. algorithms; Devices
    • G10K11/17857—Geometric disposition, e.g. placement of microphones

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Abstract

本申请提供一种建筑空间降噪方法、装置和系统。该方法包括：对于降噪网络中的任一个降噪器，根据降噪网络中全部降噪器的参考麦克风所拾取的参考噪声信号、该降噪器中误差麦克风拾取的残余噪声信号对该降噪器中参考麦克风所拾取的参考噪声信号进行滤波，或者，根据该降噪器的参考麦克风所拾取的参考噪声信号、降噪网络中全部降噪器误差麦克风拾取的残余噪声信号对该降噪器中参考麦克风所拾取的参考噪声信号进行滤波，其中，滤波结果用于供该降噪器的扬声器播放，以降低降噪网络中误差麦克风所拾取的残余噪声信号的平均功率。本申请可实现在较大空间内的良好的降噪。

Figure 202111184485

The present application provides a building space noise reduction method, device and system. The method includes: for any noise reducer in the noise reduction network, according to the reference noise signal picked up by the reference microphones of all noise reducers in the noise reduction network and the residual noise signal picked up by the error microphone in the noise reducer Filter the reference noise signal picked up by the reference microphone in the noise reducer, or filter the noise reduction signal according to the reference noise signal picked up by the reference microphone of the noise reducer and the residual noise signal picked up by all noise reducer error microphones in the noise reduction network. Filter the reference noise signal picked up by the reference microphone in the noise reducer, wherein the filtering result is used for the speaker of the noise reducer to play, so as to reduce the average power of the residual noise signal picked up by the error microphone in the noise reduction network. The present application can achieve good noise reduction in larger spaces.

Figure 202111184485

Description

Building space noise reduction method, device and system
Technical Field
The application belongs to the technical field of noise reduction, and particularly relates to a method, a device and a system for reducing noise in a building space.
Background
With the expansion of urban scale and the increasing population density, the high-rise high-density living mode becomes the mainstream life style of urban residents. Differences in personal habits, cultural backgrounds, literacy, occupation, etc. make neighborhood relationships sensitive and complex, with noise issues being the most prominent. The world health organization and the global research institution carry out system investigation and research, and the definite noise becomes the second human health killer next to air pollution and becomes a serious public health problem in the contemporary society. The optimal noise reduction mode is to carry out construction flexible treatment and cut off from the source, but is difficult to implement due to high cost, high reconstruction difficulty of the existing building and the like.
The noise can cause neurasthenia (neurasthena), and serious people can cause mental health such as depression. Meanwhile, residents who live in the building are also subjected to noise transmitted from upstairs or neighboring rooms. Such as noise interference to surrounding residents when a neighboring child is practicing a piano, running, or speaking loudly. And also, for example, singing voice of square dance outside the room or traffic noise is transmitted into the room through the window. An effective noise reduction method for a building space is urgently needed.
Disclosure of Invention
The application aims to provide a method, a device and a system for reducing noise of a building space aiming at the defects in the prior art.
In order to solve the technical problem, the following technical scheme is adopted in the application: a method of reducing noise in a building space, a plurality of noise reducers being fixedly disposed on an inside surface of a maintenance structure in the building space, any one of the plurality of noise reducers having a reference microphone, a speaker and an error microphone, wherein a vertical distance from all of the reference microphone, the speaker and the error microphone in the any one of the noise reducers to the maintenance structure in which the any one of the noise reducers is located increases gradually, the method comprising:
determining a first reference microphone facing a noise source according to strength information of reference noise signals picked up by the reference microphones, and selecting a plurality of reference microphones around the first reference microphone as a second reference microphone, wherein noise reducers where the first reference microphone and the second reference microphone are located form a noise reduction network;
for any noise reducer in the noise reduction network, filtering the reference noise signal picked up by the reference microphone in any noise reducer according to the reference noise signal picked up by the reference microphones of all noise reducers in the noise reduction network and the residual noise signal picked up by the error microphone in any noise reducer, or filtering the reference noise signal picked up by the reference microphone in any noise reducer according to the reference noise signal picked up by the reference microphone of any noise reducer and the residual noise signal picked up by the error microphone of all noise reducers in the noise reduction network, wherein the filtering result is used for being played by a loudspeaker of any noise reducer so as to reduce the average power of the residual noise signal picked up by the error microphone in the noise reduction network.
In order to solve the technical problem, the following technical scheme is adopted in the application: a building space noise reducing apparatus having a plurality of noise reducers fixedly disposed on an inside surface of a maintenance structure of the building space, any one of the plurality of noise reducers having a reference microphone, a speaker and an error microphone, wherein a vertical distance from the reference microphone, the speaker and the error microphone of the any one of the noise reducers to the maintenance structure in which the any one of the noise reducers is located increases stepwise, the apparatus comprising: the filtering module is used for determining a first reference microphone which is over against a noise source according to the strength information of the reference noise signals picked up by the reference microphones, and selecting a plurality of reference microphones around the first reference microphone as a second reference microphone, wherein noise reducers where the first reference microphone and the second reference microphone are located form a noise reduction network; and a noise reduction module, configured to, for any noise reducer in the noise reduction network, filter a reference noise signal picked up by a reference microphone in the any noise reducer according to a reference noise signal picked up by reference microphones of all noise reducers in the noise reduction network and a residual noise signal picked up by an error microphone in the any noise reducer, or filter a reference noise signal picked up by a reference microphone in the any noise reducer according to a reference noise signal picked up by a reference microphone of the any noise reducer and a residual noise signal picked up by an error microphone of all noise reducers in the noise reduction network, where a filtering result is used for a speaker of the any noise reducer to play so as to reduce an average power of the residual noise signal picked up by the error microphone in the noise reduction network.
In order to solve the technical problem, the following technical scheme is adopted in the application: a building space noise reducing apparatus having a plurality of noise reducers fixedly disposed on an inside surface of a maintenance structure of the building space, any one of the plurality of noise reducers having a reference microphone, a speaker and an error microphone, wherein a vertical distance from the reference microphone, the speaker and the error microphone of the any one of the noise reducers to the maintenance structure in which the any one of the noise reducers is located increases stepwise, the apparatus comprising: a memory storing instructions and a processor executing the instructions to perform the aforementioned building space noise reduction method.
In order to solve the technical problem, the following technical scheme is adopted in the application: a building space noise reducing system comprising a plurality of noise reducers for securing to an inside surface of a maintenance structure for said building space, any one of said plurality of noise reducers having a reference microphone, a speaker and an error microphone, wherein the vertical distance from the reference microphone, the speaker and the error microphone in said any one of said noise reducers to the maintenance structure in which said any one of said noise reducers is located increases progressively, said system further comprising the aforementioned building space noise reducing apparatus.
Compared with the prior art, the beneficial effect of this application is: in the case of a building space, external noise to be shielded is considered to be propagated around by vibration starting from a point or a local area. The problem that noise is propagated to the periphery cannot be perfectly solved by a single noise reducer, and a noise reduction network in a region needs to be formed by the peripheral noise reducers, so that a good noise reduction effect in a relatively large space region is realized. Furthermore, the selected noise reducer does not offset the detected reference noise signal in an isolated manner when the noise is reduced, but combines with each other to perform certain coordination, so that the noise reduction network can obtain a better noise reduction effect when offsetting the incoming noise transmitted outside the building space.
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Fig. 1 is a schematic flow chart of a room noise reduction method according to an embodiment of the present application.
Fig. 2 is a schematic flow chart of two-time filtering according to the embodiment of the application.
Fig. 3 is a schematic flow chart of two filtering according to another embodiment of the present application.
FIG. 4 is a schematic structural diagram of a noise reduction system for a building space according to an embodiment of the present application.
Fig. 5 is a schematic view of an application scenario of a noise reduction system for a building space according to an embodiment of the present application.
Fig. 6 is a schematic structural view of a noise reducing device for a building according to an embodiment of the present application.
Fig. 7 is a schematic view of a noise reducer for a building according to another embodiment of the present application.
Detailed Description
In this application, it will be understood that terms such as "including" or "having," or the like, are intended to indicate the presence of the disclosed features, integers, steps, acts, components, parts, or combinations thereof, but do not preclude the presence or addition of one or more other features, integers, steps, acts, components, parts, or combinations thereof.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
The application is further described with reference to examples of embodiments shown in the drawings.
Referring to fig. 1, an embodiment of the present application provides a method of noise reduction in a building space.
The building space is for example a separate room or a lobby. Taking a room as an example, the maintenance structure includes floors between floors, walls of the room, windows, and the like.
Specifically, referring to fig. 4 and 5, a plurality of noise reducers are fixedly disposed on an inner side surface of a maintenance structure of a room. The noise reducer can be positioned below an upper floor of a room, or can be positioned on the inner side of a side wall of the room or the inner side of a window of the room. The noise reducers may be equally spaced or non-equally spaced. Any one of the plurality of noise reducers has a reference microphone, a speaker, and an error microphone. And the vertical distance from the reference microphone, the loudspeaker and the error microphone in any noise reducer to the maintenance structure where the any noise reducer is located is gradually increased. Preferably, the reference microphone, the speaker and the error microphone are spaced apart from each other in a direction perpendicular to the maintenance structure, thereby reducing mutual interference between the reference microphone, the speaker and the error microphone. The size of the space is not limited in the application, and the skilled person can debug the space according to the test effect. The plurality of noise reducers can be distributed on the inner surface of a single-sided wall body or the inner surface of a multi-sided wall body. The plurality of noise reducers may be provided only below the floor, or may be provided both below the floor and inside the window.
If the noise reducer is located in the same plane of the closed structure, the whole inner side surface of the partial closed structure can be a plane or a curved surface.
In the embodiment shown in fig. 4, a plurality of noise reducers are arranged in a matrix inside a single-sided window. Of course, the plurality of noise reducers may be distributed in a diamond shape, a honeycomb shape, or other distribution. In the embodiment shown in fig. 5, a plurality of noise reducers are provided below the floor between two floors. The noise reducer is fixedly arranged on the floor slab.
The distance between adjacent noise reducers is not limited, and the cost and the noise reduction effect can be balanced by a person skilled in the art.
The method shown in fig. 1 comprises the following steps.
Step 101, determining a first reference microphone facing a noise source according to strength information of reference noise signals picked up by the reference microphones, and selecting a plurality of reference microphones around the first reference microphone as a second reference microphone, wherein noise reducers where the first reference microphone and the second reference microphone are located form a noise reduction network.
Generally, the closer a reference microphone is to the center of the noise source, the greater the strength of the reference noise signal it picks up.
Based on this, for example, a reference microphone with the largest signal strength of the reference noise signal and the signal strength exceeding a first set threshold may be selected as the first reference microphone. The first setting threshold is, for example, 3db, and can be set empirically.
Step 102, for any noise reducer in the noise reduction network, filtering the reference noise signal picked up by the reference microphone in any noise reducer according to the reference noise signal picked up by the reference microphones of all noise reducers in the noise reduction network and the residual noise signal picked up by the error microphone in any noise reducer, or filtering the reference noise signal picked up by the reference microphone in any noise reducer according to the reference noise signal picked up by the reference microphone of any noise reducer and the residual noise signal picked up by the error microphone of all noise reducers in the noise reduction network, so as to reduce the average power of the residual noise signal picked up by the error microphone in the noise reduction network.
In the case of a building space, external noise to be shielded is considered to be propagated around a point by vibration. The problem that noise is transmitted to the periphery cannot be perfectly solved by a single noise reducer, and a noise reduction network in a region needs to be formed by the surrounding noise reducers, so that a good noise reduction effect is achieved in a relatively large space region. Furthermore, when any noise reducer in the noise reduction network performs noise reduction, the reference noise signal detected by the noise reducer is not cancelled in an isolated manner, but the reference noise signal detected by all reference microphones in the noise reduction network or the error noise signal detected by all error microphones in the noise reduction network needs to be further referred, so that when the noise reduction network cancels the noise transmitted outside the building space, a better noise reduction effect can be obtained. The average power of the residual noise signal in the area where the noise reduction network is located is as small as possible, so that a user located in the building space experiences very little outdoor noise no matter where he is located.
In some embodiments, the filtering process of step 102 further needs to refer to a position relationship of the any noise reducer with respect to the noise reduction network. This is equivalent to further re-distributing the noise reduction tasks undertaken by the noise reducers (i.e., the noise reduction networks) according to the position relationship between the selected noise reducers and each other, and further accelerating the speed of reducing the average power of the residual noise signal, i.e., accelerating convergence.
Referring to fig. 2, in some embodiments, two filtering operations are performed on a reference noise signal picked up by a reference microphone of any one of the noise reducers in the noise reduction network;
in the first filtering of the two filtering, step 1021 is executed, the reference noise signal picked up by the reference microphone in any one of the noise reducers is filtered according to a first filter coefficient, so as to obtain a first inverted noise signal, wherein the first filter coefficient is updated according to the reference noise signal picked up by the reference microphone in any one of the noise reducers and the residual noise signal picked up by the error microphone in any one of the noise reducers; in the second filtering of the two filtering, step 1022 is executed, the first inverse noise signal is filtered according to a second filter coefficient, so as to obtain a second inverse noise signal for the speaker in any one of the noise reducers to play, wherein the second filter coefficient is updated according to a residual noise signal picked up by an error microphone in any one of the noise reducers, a scale coefficient determined according to a position relationship of any one of the noise reducers with respect to the noise reduction network, and a reference noise signal picked up by a reference microphone in all the noise reducers in the noise reduction network.
In the first filtering, the noise reducers are independent of each other, and the first inverse noise signal can be generated by referring to the existing noise reduction method.
The purpose of the second noise reduction is to take the lowest overall average noise in a certain space region as a target, and weight corresponding to the sound attenuation is respectively carried out on the noise reduction tasks born by the noise reducers by utilizing the attenuation of sound in the transmission process and the distance between the noise reducers, so that the overall noise reduction in the certain space region is realized. For example, in some cases, noise reducers closer to the center of the noise source take on a larger noise reduction task.
Specifically, for the jth noise reducer in the noise reduction network, the first filtering of the two filtering processes is performed according to the following formula:
nanti，j(t)＝Hj(t)*Xj(t)，
nanti，j(t) is the first inverse noise intensity value corresponding to the jth noise reducer at time t, hj (t) is the filter coefficient vector of the first filter of the jth noise reducer at time t, Xj(t) is a reference noise vector picked up by a reference microphone of the jth noise reducer at the moment of cut-off t, "+" represents convolution operation;
the first filter coefficients hj (t) are updated as follows:
Hj(t+1)＝Hj(t)+μ·ej(t)·Xj(t)，
hj (t) is the filter coefficient vector for the first filtering of the jth noise reducer at time t, μ is the learning step size, ej (t) is the residual noise intensity value picked up by the error microphone of the jth noise reducer at time t, Xj (t) is the reference noise vector picked up by the reference microphone of the jth noise reducer at time t, Xj(t) is the same length as H (t) vector;
the second filtering of the two filtering is performed according to the following formula:
Figure BDA0003297947680000061
nanti，j(t) is a first inverse noise intensity value, n ', corresponding to the j-th noise reducer at time t'anti，j(t) is the second inverse noise intensity value, W, output by the jth noise reducer at time tj(t) a second vector of filter coefficients for the jth noise reducer at time t, of length K, each vector element denoted wj，k(t), k is coefficient number;
second filter coefficient Wj(t) is updated as follows:
Figure BDA0003297947680000062
Wj(t) is the second filter coefficient vector, P, of the jth noise reducer at time tjIs a scale coefficient determined according to the position relation of the jth noise reducer relative to the noise reduction network, mu is a learning step length, ej (t) is a residual noise intensity value picked up by the jth noise reducer at the time t, and Xk(t) is the reference noise vector picked up by the reference microphone of the kth noise reducer in the noise reduction network, Xk(t) and Wj(t) the vectors are of the same length, M being the number of all first and second reference microphones.
In updating the second filter coefficients, reference is made to a reference noise signal vector picked up by all reference microphones in the noise reduction network.
In some simplified models, PjIs constant at 1, i.e. the position information of the noise reducer is not taken into account.
In yet another embodiment, and with reference to fig. 3, two filtering operations are performed on the reference noise signal picked up by the reference microphone of any one of the noise reducers in the noise reduction network,
in the first filtering of the two filtering, step 1021a is executed, and a residual noise signal picked up by an error microphone in any one of the noise reducers is filtered according to a first filter coefficient to obtain a corrected residual noise signal, wherein the first filter coefficient is updated according to a reference noise signal picked up by a reference microphone in any one of the noise reducers, a scaling coefficient determined by a position relation of any one of the noise reducers with respect to the noise reduction network, and the residual noise signal picked up by the error microphone in the noise reducer where the error microphones of all the noise reducers in the noise reduction network are located;
in the second filtering of the two filtering, step 1022a is executed, the reference noise signal picked up by the reference microphone in any one of the noise reducers is filtered according to the second filter coefficient, so as to obtain an inverted noise signal for the speaker in any one of the noise reducers to play, wherein the second filter coefficient is updated according to the reference noise signal picked up by the reference microphone in any one of the noise reducers and the corrected noise signal.
The first filtering is to use the attenuation of sound in propagation and the distance of noise reducers to respectively weight the overall average residual noise, so as to reasonably distribute the residual noise processed by each noise reducer.
And filtering each noise reducer for the second time according to the residual noise intensity distributed by each noise reducer, and outputting corresponding reverse phase noise.
Specifically, for the jth noise reducer in the noise reduction network, the first filtering of the two filtering processes is performed according to the following formula:
Figure BDA0003297947680000071
nerr，j(t) is a residual noise intensity value, n ', picked up by an error microphone of the jth noise reducer at time t'err，j(t) obtaining a corrected residual noise intensity value W of the corrected residual noise signal at the time t after the residual noise signal picked up by the jth noise reducer is subjected to first filteringj(t) a first vector of filter coefficients for the jth noise reducer at time t, of length K, each vector element being denoted wj，k(t), k is coefficient number;
first filter coefficient Wj(t) is updated as follows:
Figure BDA0003297947680000072
Wj(t) is the first filter coefficient vector, P, of the jth noise reducer at time tjScaling factor determined for the positional relationship of the jth noise reducer with respect to the noise reduction network (in some simplified models, PjConstant 1, i.e. without taking into account the position information of the noise reducer), μ is the learning step size, ek(t) is the residual noise intensity value, X, picked up by the noise reducer k at time tj(t) is the reference noise vector picked up by the reference microphone of the jth noise reducer at time t, Xj(t) and Wj(t) the vectors are of the same length, M being the number of all first and second reference microphones;
the second filtering of the two filtering is performed according to the following formula:
nanti，j(t)＝Hj(t)*Xj(t)，
nanti，j(t) is the inverse noise intensity value H to be played by the jth noise reducer at the time tj(t) is the filter coefficient vector of the second filtering of the jth noise reducer at time t, Xj(t) is a reference noise vector picked up by a reference microphone of the jth noise reducer at the moment of cut-off t, and a symbol "+" represents convolution operation;
second filter coefficient Hj(t) is updated as follows:
Hj(t+1)＝Hj(t)+μ·ej(t)·Xj(t)，
Hj(t) is the filter coefficient vector of the second filtering of the jth noise reducer at time t, μ is the learning step size, ej(t) is the residual noise intensity value, X, picked up by the jth noise reducer at time tj(t) is the reference noise vector picked up by the reference microphone of the jth noise reducer at the time t is cut off, Xj(t) is the same length as the vector of H (t).
In the above two embodiments, it may be further determined whether the noise source is close to the maintenance structure or far from the maintenance structure according to the strength information of the reference noise signal picked up by the first reference microphone. If the noise source is far away from the maintenance structure, the difference between the intensity and the propagation direction of the noise in the space where each noise reducer is located is considered to be small, and at this time, P isj1. If the noise source is close to the maintenance structure, then the noise received by each noise reducer in the noise reduction network can be considered to have significant attenuation. For example, when the measured noise source is close to the dimensional structure, the ratio of the reference noise signal intensity picked up by the second reference microphone to the reference noise signal intensity picked up by the first reference microphone may be used as the proportional coefficient P corresponding to the position relationship between the twoj。
There are two ways of determining whether the noise source is close enough or far enough from the maintenance structure.
The first method is to judge that the noise source is a sufficiently close noise source when the intensity value of the noise signal picked up by the first reference microphone is greater than a second set threshold value. Obviously, the second set threshold is greater than the first set threshold. The second setting threshold is, for example, 6 db, and can be set empirically.
And a second method is that the intensity of the noise picked up by a first reference microphone positioned at the center is set as a (db), the intensity of the noise picked up by a second reference microphone farthest from the first reference microphone is set as b (db), if a-b is smaller than a third set threshold value, the sound source is judged to be a long-distance sound source, and if not, the sound source is judged to be a short-distance sound source. The third setting threshold is, for example, 3dB, and can be set empirically.
In some embodiments, the method further comprises: the signal strengths of the reference noise signals picked up by all reference microphones in the root noise reduction network update the numbers of the noise reducers that make up the noise reduction network.
When the noise source moves, the position with the strongest reference noise will also move, which is usually a gradual process, so that the number of the first reference microphone, and correspondingly the number of the second reference microphone, can be updated from the already selected microphones.
In some embodiments, the method further comprises: after the number of the noise reducers in the noise reduction network is determined, the reference microphones of the rest of the noise reducers are closed.
Since the remaining microphones do not need to take on the noise reduction task, turning them off can reduce the power consumption of the overall system. Of course, the noise reducer in which these reference microphones are located may further be turned off.
In some embodiments, all of the reference microphones are in an operational state before the first reference microphone is first determined.
For example, when the system is turned on, all reference microphones need to pick up the reference noise signal, and when the first reference microphone is determined, the microphones other than the first reference microphone and the second reference microphone are turned off.
Of course, for the purpose of reducing power consumption, the respective reference microphones are operated in turn in time slots after the system is turned on, or when there is not enough noise outside the room so that no reference microphone is determined as the first reference microphone.
Based on the same inventive concept as the previous embodiment, referring to fig. 6, an embodiment of the present application also provides a building space noise reduction apparatus 1. And fixedly arranging a plurality of noise reducers on the inner side surface of the maintenance structure of the building space, wherein any one of the noise reducers is provided with a reference microphone, a loudspeaker and an error microphone, and the vertical distance from the reference microphone, the loudspeaker and the error microphone to the maintenance structure where the any one of the noise reducers is positioned is gradually increased. The device includes: the filtering module 11 is configured to determine, according to strength information of reference noise signals picked up by the reference microphones, a first reference microphone that is directly facing a noise source, and select a plurality of reference microphones around the first reference microphone as a second reference microphone, where noise reducers where the first reference microphone and the second reference microphone are located form a noise reduction network; the noise reduction module 12 is configured to, for any noise reducer in the noise reduction network, filter a reference noise signal picked up by a reference microphone in the any noise reducer according to a reference noise signal picked up by reference microphones of all noise reducers in the noise reduction network and a residual noise signal picked up by an error microphone in the any noise reducer, or filter a reference noise signal picked up by a reference microphone in the any noise reducer according to a reference noise signal picked up by a reference microphone of the any noise reducer and a residual noise signal picked up by all noise reducer error microphones in the noise reduction network, so as to reduce an average power of the residual noise signal picked up by the error microphone in the noise reduction network.
The processing procedures of the modules can refer to the description of the foregoing embodiments, and are not repeated here.
Referring to fig. 7, an embodiment of the present application also provides a noise reduction apparatus 1 for a building space. And fixedly arranging a plurality of noise reducers on the inner side surface of the maintenance structure of the building space, wherein any one of the noise reducers is provided with a reference microphone, a loudspeaker and an error microphone, and the vertical distance from the reference microphone, the loudspeaker and the error microphone to the maintenance structure where the any one of the noise reducers is positioned is gradually increased. The device includes: a memory 11a and a processor 12a, the memory 11a storing instructions and the processor 12a executing the instructions to perform the aforementioned room noise reduction method.
With reference to fig. 4 and 5, embodiments of the present application further provide a building space noise reduction system, comprising: a plurality of noise reducers 2 for fixing on an inside surface of a maintenance structure of a building space, each of the plurality of noise reducers 2 comprising a reference microphone 21, a loudspeaker 22 and an error microphone 23, wherein the vertical distance of the reference microphone 21, the loudspeaker 22 and the error microphone 23 of any one of the noise reducers to the maintenance structure where said any one of the noise reducers 2 is located is gradually increased, the system further comprises the aforementioned building space noise reducing apparatus 1.
The embodiments in the present application are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments.
The protective scope of the present application is not limited to the above-described embodiments, and it is apparent that various modifications and variations can be made to the present application by those skilled in the art without departing from the scope and spirit of the present application. It is intended that the present application also include such modifications and variations as come within the scope of the appended claims and their equivalents.

Claims (15)

1.一种建筑空间降噪方法，其特征在于，在建筑空间的维护结构的内侧表面上固定布置有多个降噪器，所述多个降噪器中的任一个降噪器均具有参考麦克风、扬声器和误差麦克风，其中，所述任一个降噪器中的参考麦克风、扬声器和误差麦克风三者到所述任一个降噪器所处维护结构的垂直距离逐步增大，所述方法包括：1. A method for noise reduction in a building space, characterized in that a plurality of noise reducers are fixedly arranged on the inner surface of the maintenance structure of the building space, and any noise reducer in the plurality of noise reducers has a reference A microphone, a loudspeaker and an error microphone, wherein the vertical distance from the reference microphone, the loudspeaker and the error microphone in the any one of the noise reducers to the maintenance structure where the any one of the noise reducers is located is gradually increased, and the method includes : 根据所述参考麦克风所拾取的参考噪声信号的强度信息确定正对噪声源的第一参考麦克风，选取所述第一参考麦克风周围的多个参考麦克风作为第二参考麦克风，其中，所述第一参考麦克风和所述第二参考麦克风所处降噪器构成降噪网络；The first reference microphone facing the noise source is determined according to the intensity information of the reference noise signal picked up by the reference microphone, and multiple reference microphones around the first reference microphone are selected as the second reference microphones, wherein the first reference microphone is The reference microphone and the noise reducer where the second reference microphone is located constitute a noise reduction network; 对于所述降噪网络中的任一个降噪器，根据所述降噪网络中全部降噪器的参考麦克风所拾取的参考噪声信号、所述任一个降噪器中误差麦克风所述拾取的残余噪声信号对所述任一个降噪器中参考麦克风所拾取的参考噪声信号进行滤波，或者，根据所述任一个降噪器的参考麦克风所拾取的参考噪声信号、所述降噪网络中全部降噪器误差麦克风所述拾取的残余噪声信号对所述任一个降噪器中参考麦克风所拾取的参考噪声信号进行滤波，其中，滤波结果用于供所述任一个降噪器的扬声器播放，以降低所述降噪网络中误差麦克风所拾取的残余噪声信号的平均功率。For any noise reducer in the noise reduction network, according to the reference noise signal picked up by the reference microphones of all noise reducers in the noise reduction network, the residual picked up by the error microphone in any one noise reducer The noise signal filters the reference noise signal picked up by the reference microphone in the any noise reducer, or, according to the reference noise signal picked up by the reference microphone of the any noise reducer, all noise reduction in the noise reduction network is performed. The residual noise signal picked up by the noise reducer error microphone filters the reference noise signal picked up by the reference microphone in any one of the noise reducers, wherein the filtering result is used for the speaker of any one of the noise reducers to play, to The average power of the residual noise signal picked up by the error microphone in the noise reduction network is reduced. 2.根据权利要求1所述的方法，其特征在于，根据所述降噪网络中全部降噪器的参考麦克风所拾取的参考噪声信号、所述任一个降噪器中误差麦克风所述拾取的残余噪声信号对所述任一个降噪器中参考麦克风所拾取的参考噪声信号进行滤波，包括：根据所述降噪网络中全部降噪器的参考麦克风所拾取的参考噪声信号、所述任一个降噪器中误差麦克风所述拾取的残余噪声信号、所述任一个降噪器相对于所述降噪网络的位置关系对所述任一个降噪器中参考麦克风所拾取的参考噪声信号进行滤波。2 . The method according to claim 1 , wherein, according to the reference noise signal picked up by the reference microphones of all noise reducers in the noise reduction network, the noise signal picked up by the error microphone in any one of the noise reducers. The residual noise signal filters the reference noise signal picked up by the reference microphone in any one of the noise reducers, including: according to the reference noise signal picked up by the reference microphones of all noise reducers in the noise reduction network, the any one The residual noise signal picked up by the error microphone in the noise reducer, the positional relationship of any one of the noise reducers with respect to the noise reduction network, and the reference noise signal picked up by the reference microphone in any one of the noise reducers is filtered. . 3.根据权利要求2所述的方法，其特征在于，对于所述降噪网络中的任一个降噪器的参考麦克风所拾取的参考噪声信号执行两次滤波；3. The method according to claim 2, wherein filtering is performed twice for the reference noise signal picked up by the reference microphone of any noise reducer in the noise reduction network; 所述两次滤波的第一次滤波中，根据第一滤波器系数对所述任一个降噪器中参考麦克风所拾取的参考噪声信号进行滤波，得到第一反相噪声信号，其中，根据所述任一个降噪器中参考麦克风所拾取的参考噪声信号和所述任一个降噪器中误差麦克风所拾取的残余噪声信号对所述第一滤波器系数进行更新；In the first filtering of the two filtering, the reference noise signal picked up by the reference microphone in any one of the noise reducers is filtered according to the first filter coefficient to obtain a first anti-phase noise signal, wherein according to the The first filter coefficient is updated by the reference noise signal picked up by the reference microphone in any one of the noise reducers and the residual noise signal picked up by the error microphone in the any one of the noise reducers; 所述两次滤波的第二次滤波中，根据第二滤波器系数对所述第一反相噪声信号进行滤波，得到第二反相噪声信号以供所述任一个降噪器中的扬声器播放，其中，根据所述任一个降噪器中误差麦克风所拾取的残余噪声信号、由所述任一个降噪器相对于所述降噪网络的位置关系而确定的比例系数、所述降噪网络中全部降噪器中参考麦克风所述拾取的参考噪声信号对所述第二滤波器系数进行更新。In the second filtering of the two filtering, the first anti-phase noise signal is filtered according to the second filter coefficient to obtain a second anti-phase noise signal for the speaker in any one of the noise reducers to play. , wherein, according to the residual noise signal picked up by the error microphone in any one of the noise reducers, the proportionality coefficient determined by the positional relationship of the any one of the noise reducers relative to the noise reduction network, the noise reduction network The second filter coefficients are updated with reference noise signals picked up by the reference microphones in all noise reducers in the . 4.根据权利要求3所述的方法，其特征在于，对于所述降噪网络中的第j个降噪器，4. The method according to claim 3, wherein, for the jth noise reducer in the noise reduction network, 所述两次滤波的第一次滤波按照如下公式进行：The first filtering of the two filtering is performed according to the following formula: nanti，j(t)＝Hj(t)*Xj(t)，n anti, j (t)=H j (t)*X j (t), nanti，j(t)为对应于t时刻第j个降噪器的第一反相噪声强度值，Hj(t)为第j个降噪器在t时刻的第一滤波器的滤波器系数向量，Xj(t)为截止t时刻第j个降噪器的参考麦克风拾取的参考噪声向量，“*”表示卷积运算；n anti, j (t) is the first anti-phase noise intensity value corresponding to the j-th noise reducer at time t, Hj(t) is the filter coefficient of the first filter of the j-th noise reducer at time t vector, Xj(t) is the reference noise vector picked up by the reference microphone of the jth noise reducer at time t, "*" represents the convolution operation; 第一滤波器系数Hj(t)按照如下公式进行更新：The first filter coefficient Hj(t) is updated according to the following formula: Hj(t+1)＝Hj(t)+μ·ej(t)·Xj(t)，H j (t+1)=H j (t)+μ·e j (t)·X j (t), Hj(t)为在t时刻第j个降噪器进行第一次滤波的滤波器系数向量，μ为学习步长，ej(t)为在t时刻第j个降噪器的误差麦克风所拾取的残余噪声强度值，Xj(t)为截止t时刻第j个降噪器的参考麦克风所拾取的参考噪声向量，Xj(t)与H(t)向量长度相同；H j (t) is the filter coefficient vector for the first filtering of the j-th denoiser at time t, μ is the learning step size, and e j (t) is the error microphone of the j-th denoiser at time t The picked-up residual noise intensity value, Xj(t) is the reference noise vector picked up by the reference microphone of the jth noise reducer at time t, and Xj(t) is the same length as H(t) vector; 所述两次滤波的第二次滤波按照如下公式进行：The second filtering of the two filtering is performed according to the following formula:
Figure FDA0003297947670000021
Figure FDA0003297947670000021
 nanti，j(t)为对应t时刻第j个降噪器的第一反相噪声强度值，n′anti，j(t)为t时刻第j个降噪器输出的第二反相噪声强度值，Wj(t)为t时刻第j个降噪器的第二滤波器系数向量，长度为K，每个向量元素表示为wj，k(t)，k为系数序号；n anti,j (t) is the first anti-phase noise intensity value of the j-th noise reducer at time t, and n′ anti,j (t) is the second anti-phase noise output by the j-th noise reducer at time t Intensity value, W j (t) is the second filter coefficient vector of the j-th denoiser at time t, the length is K, and each vector element is represented as w j, k (t), and k is the coefficient serial number; 第二滤波器系数Wj(t)按照如下公式进行更新：The second filter coefficient W j (t) is updated according to the following formula:
Figure FDA0003297947670000022
Figure FDA0003297947670000022
 Wj(t)为第j个降噪器在t时刻的第二滤波器系数向量，Pj为根据第j个降噪器相对于降噪网络的位置关系而确定的比例系数，μ为学习步长，ej(t)为第j个降噪器在t时刻拾取的残余噪声强度值，Xk(t)为降噪网络中第k个降噪器的参考麦克风拾取的参考噪声向量，Xk(t)与Wj(t)向量长度相同，M为全部第一参考麦克风和第二参考麦克风的数量。W j (t) is the second filter coefficient vector of the j th denoiser at time t, P j is the scale coefficient determined according to the positional relationship of the j th denoiser relative to the denoising network, μ is the learning Step size, e j (t) is the residual noise intensity value picked up by the jth noise reducer at time t, X k (t) is the reference noise vector picked up by the reference microphone of the kth noise reducer in the noise reduction network, X k (t) is the same length as W j (t), and M is the number of all the first reference microphones and the second reference microphones. 5.根据权利要求1所述的方法，其特征在于，根据所述任一个降噪器的参考麦克风所拾取的参考噪声信号、所述降噪网络中全部降噪器误差麦克风所述拾取的残余噪声信号对所述任一个降噪器中参考麦克风所拾取的参考噪声信号进行滤波，包括：5. The method according to claim 1, characterized in that, according to the reference noise signal picked up by the reference microphone of any one noise reducer, the residual picked up by all noise reducer error microphones in the noise reduction network The noise signal filters the reference noise signal picked up by the reference microphone in any one of the noise reducers, including: 根据所述任一个降噪器的参考麦克风所拾取的参考噪声信号、所述降噪网络中全部降噪器误差麦克风所述拾取的残余噪声信号对所述任一个降噪器中参考麦克风所拾取的参考噪声信号、所述任一个降噪器相对于所述降噪网络的位置关系进行滤波。According to the reference noise signal picked up by the reference microphone of any noise reducer, the residual noise signal picked up by all noise reducer error microphones in the noise reduction network The reference noise signal of , and the positional relationship of any one of the denoisers with respect to the denoising network is filtered. 6.根据权利要求5所述的方法，其特征在于，对于所述滤波网络中的任一个降噪器的参考麦克风所拾取的参考噪声信号执行两次滤波；6. The method according to claim 5, wherein filtering is performed twice for the reference noise signal picked up by the reference microphone of any noise reducer in the filtering network; 所述两次滤波的第一次滤波中，根据第一滤波器系数对所述任一个降噪器中误差麦克风所拾取的残余噪声信号进行滤波，得到修正残余噪声信号，其中，根据所述任一个降噪器中参考麦克风所拾取的参考噪声信号、由所述任一个降噪器相对于所述降噪网络的位置关系而确定的比例系数、所述降噪网络中全部降噪器的误差麦克风所处降噪器中误差麦克风所述拾取的残余噪声信号对所述第一滤波器系数进行更新；In the first filtering of the two filtering, the residual noise signal picked up by the error microphone in any one of the noise reducers is filtered according to the first filter coefficient to obtain a modified residual noise signal, wherein according to the any The reference noise signal picked up by the reference microphone in one noise reducer, the proportional coefficient determined by the positional relationship of any one noise reducer relative to the noise reduction network, and the errors of all noise reducers in the noise reduction network The residual noise signal picked up by the error microphone in the noise reducer where the microphone is located updates the first filter coefficient; 所述两次滤波的第二次滤波中，根据第二滤波器系数对所述任一个降噪器中参考麦克风所拾取的参考噪声信号进行滤波，得到反相噪声信号以供所述任一个降噪器中的扬声器播放，其中，根据所述任一个降噪器中参考麦克风所拾取的参考噪声信号和所述修正噪声信号对所述第二滤波器系数进行更新。In the second filtering of the two filtering, the reference noise signal picked up by the reference microphone in any one of the noise reducers is filtered according to the second filter coefficient to obtain an inverse noise signal for use in any one of the noise reduction devices. The second filter coefficient is updated according to the reference noise signal picked up by the reference microphone in any one of the noise reducers and the modified noise signal. 7.根据权利要求6所述的方法，其特征在于，对于所述降噪网络中的第j个降噪器，7. The method according to claim 6, wherein, for the jth noise reducer in the noise reduction network, 所述两次滤波的第一次滤波按照如下公式进行：The first filtering of the two filtering is performed according to the following formula:
Figure FDA0003297947670000031
Figure FDA0003297947670000031
 nerr，j(t)为t时刻第j个降噪器的误差麦克风拾取的残余噪声强度值，n′err，j(t)为第j个降噪器拾取的残余噪声信号通过第一次滤波后得到修正残余噪声信号在t时刻的修正残余噪声强度值，Wj(t)为t时刻第j个降噪器的第一滤波器系数向量，长度为K，每个向量元素表示为wj，k(t)，k为系数序号；n err, j (t) is the residual noise intensity value picked up by the error microphone of the jth noise reducer at time t, n′ err, j (t) is the residual noise signal picked up by the jth noise reducer through the first time After filtering, the modified residual noise intensity value of the modified residual noise signal at time t is obtained, W j (t) is the first filter coefficient vector of the jth noise reducer at time t, the length is K, and each vector element is represented as w j, k (t), k is the coefficient serial number; 第一滤波器系数Wj(t)按照如下公式进行更新：The first filter coefficients W j (t) are updated according to the following formula:
Figure FDA0003297947670000032
Figure FDA0003297947670000032
 Wj(t)为第j个降噪器在t时刻的第一滤波器系数向量，Pj为第j个降噪器相对于降噪网络的位置关系而确定的比例系数，μ为学习步长，ek(t)为降噪器k在t时刻拾取的残余噪声强度值，Xj(t)为第j个降噪器的参考麦克风在t时刻拾取的参考噪声向量，Xj(t)与Wj(t)向量长度相同，M为全部第一参考麦克风和第二参考麦克风的数量；W j (t) is the first filter coefficient vector of the jth denoiser at time t, Pj is the scale coefficient determined by the positional relationship of the jth denoiser relative to the denoising network, μ is the learning step long, e k (t) is the residual noise intensity value picked up by noise reducer k at time t, X j (t) is the reference noise vector picked up by the reference microphone of the jth noise reducer at time t, X j (t ) is the same as the W j (t) vector length, and M is the number of all the first reference microphones and the second reference microphones; 所述两次滤波的第二次滤波按照如下公式进行：The second filtering of the two filtering is performed according to the following formula: nanti，j(t)＝Hj(t)*Xj(t)，n anti, j (t)=H j (t)*X j (t), nanti，j(t)为t时刻第j个降噪器需要播放的反相噪声强度值，Hj(t)为第j个降噪器在t时刻的第二次滤波的滤波器系数向量，Xj(t)为截止t时刻第j个降噪器的参考麦克风拾取的参考噪声向量，符号“*”表示卷积运算；n anti, j (t) is the anti-phase noise intensity value to be played by the j-th denoiser at time t, H j (t) is the filter coefficient vector of the second filter of the j-th denoiser at time t , X j (t) is the reference noise vector picked up by the reference microphone of the jth noise reducer at time t, and the symbol "*" represents the convolution operation; 第二滤波器系数Hj(t)按照如下公式进行更新：The second filter coefficient Hj(t) is updated according to the following formula: Hj(t+1)＝Hj(t)+μ·ej(t)·Xj(t)，H j (t+1)=H j (t)+μ·e j (t)·X j (t), Hj(t)为第j个降噪器在t时刻的第二次滤波的滤波器系数向量，μ为学习步长，ej(t)为第j个降噪器在t时刻拾取的残余噪声强度值，Xj(t)为截止t时刻第j个降噪器的参考麦克风拾取的参考噪声向量，Xj(t)与H(t)向量长度相同。H j (t) is the filter coefficient vector of the second filter of the j-th denoiser at time t, μ is the learning step size, and e j (t) is the residual picked up by the j-th denoiser at time t Noise intensity value, X j (t) is the reference noise vector picked up by the reference microphone of the jth noise reducer at time t, and X j (t) is the same length as the H(t) vector. 8.根据权利要求1所述的方法，其特征在于，还包括：根降噪网络中全部参考麦克风所拾取的参考噪声信号的信号强度更新组成降噪网络的降噪器的编号。8 . The method according to claim 1 , further comprising: updating the numbers of the noise reducers constituting the noise reduction network by the signal strengths of the reference noise signals picked up by all reference microphones in the root noise reduction network. 9 . 9.根据权利要求1所述的方法，其特征在于，还包括：在确定出降噪网络中降噪器的编号之后，关闭其余其余降噪器的参考麦克风。9 . The method according to claim 1 , further comprising: after determining the number of the noise reducer in the noise reduction network, turning off the reference microphones of the remaining noise reducers. 10 . 10.根据权利要求1所述的方法，其特征在于，根据各所述参考麦克风所述拾取的参考噪声信号的强度信息确定正对噪声源的第一参考麦克风，包括：选取所述参考噪声信号的信号强度最大且该信号强度超出设定阈值的参考麦克风作为第一参考麦克风。10 . The method according to claim 1 , wherein determining the first reference microphone facing the noise source according to the intensity information of the reference noise signals picked up by the reference microphones comprises: selecting the reference noise signals. 11 . The reference microphone whose signal strength is the largest and whose signal strength exceeds the set threshold is used as the first reference microphone. 11.根据权利要求1所述的方法，其特征在于，在首次确定出第一参考麦克风之前，全部参考麦克风均处于工作状态。11 . The method according to claim 1 , wherein, before the first reference microphone is determined for the first time, all reference microphones are in a working state. 12 . 12.根据权利要求1所述的方法，其特征在于，位于同一面封闭结构上的降噪器按照阵列式分布。12 . The method according to claim 1 , wherein the noise reducers located on the same closed structure are distributed in an array. 13 . 13.一种建筑空间降噪装置，其特征在于，在所述建筑空间的维护结构的内侧表面上固定布置有多个降噪器，所述多个降噪器中的任一个降噪器均具有参考麦克风、扬声器和误差麦克风，其中，所述任一个降噪器中的参考麦克风、扬声器和误差麦克风三者到所述任一个降噪器所处维护结构的垂直距离逐步增大，所述装置包括：13. A noise reduction device for a building space, characterized in that a plurality of noise reducers are fixedly arranged on the inner surface of a maintenance structure of the building space, and any noise reducer in the plurality of noise reducers is It has a reference microphone, a speaker and an error microphone, wherein the vertical distance from the reference microphone, the speaker and the error microphone in any one of the noise reducers to the maintenance structure where the any one of the noise reducers is located increases gradually. The device includes: 筛选模块，用于根据各所述参考麦克风所拾取的参考噪声信号的强度信息确定正对噪声源的第一参考麦克风，选取所述第一参考麦克风周围的多个参考麦克风作为第二参考麦克风，其中，所述第一参考麦克风和所述第二参考麦克风所处降噪器构成降噪网络；a screening module, configured to determine a first reference microphone facing the noise source according to the intensity information of the reference noise signals picked up by each of the reference microphones, and select a plurality of reference microphones around the first reference microphone as the second reference microphones, Wherein, the noise reduction network where the first reference microphone and the second reference microphone are located constitutes a noise reduction network; 降噪模块，用于对于所述降噪网络中的任一个降噪器，根据所述降噪网络中全部降噪器的参考麦克风所拾取的参考噪声信号、所述任一个降噪器中误差麦克风所述拾取的残余噪声信号对所述任一个降噪器中参考麦克风所拾取的参考噪声信号进行滤波，或者，根据所述任一个降噪器的参考麦克风所拾取的参考噪声信号、所述降噪网络中全部降噪器误差麦克风所述拾取的残余噪声信号对所述任一个降噪器中参考麦克风所拾取的参考噪声信号进行滤波，其中，滤波结果用于供所述任一个降噪器的扬声器播放，以降低所述降噪网络中误差麦克风所拾取的残余噪声信号的平均功率。A noise reduction module, used for any noise reducer in the noise reduction network, according to the reference noise signal picked up by the reference microphones of all noise reducers in the noise reduction network, the error in any one of the noise reducers The residual noise signal picked up by the microphone filters the reference noise signal picked up by the reference microphone in any one of the noise reducers, or, according to the reference noise signal picked up by the reference microphone of the any noise reducer, the The residual noise signal picked up by all noise reducer error microphones in the noise reduction network filters the reference noise signal picked up by the reference microphone in any one of the noise reducers, wherein the filtering result is used for any noise reduction speaker to reduce the average power of the residual noise signal picked up by the error microphone in the noise reduction network. 14.一种建筑空间降噪装置，其特征在于，在所述建筑空间的维护结构的内侧表面上固定布置有多个降噪器，所述多个降噪器中的任一个降噪器均具有参考麦克风、扬声器和误差麦克风，其中，所述任一个降噪器中的参考麦克风、扬声器和误差麦克风三者到所述任一个降噪器所处维护结构的垂直距离逐步增大，所述装置包括：存储器和处理器，所述存储器存储指令，所述处理器运行所述指令以执行根据权利要求1至12任一项所述的建筑空间降噪方法。14. A noise reduction device for a building space, characterized in that a plurality of noise reducers are fixedly arranged on the inner surface of the maintenance structure of the building space, and any noise reducer in the plurality of noise reducers is It has a reference microphone, a speaker and an error microphone, wherein the vertical distance from the reference microphone, the speaker and the error microphone in any one of the noise reducers to the maintenance structure where the any one of the noise reducers is located increases gradually. The apparatus includes: a memory and a processor, the memory storing instructions, the processor executing the instructions to perform the method for noise reduction in a building space according to any one of claims 1 to 12. 15.一种建筑空间降噪系统，其特征在于，包括用于固定在所述建筑空间的维护结构的内侧表面上的多个降噪器，所述多个降噪器中的任一个降噪器均具有参考麦克风、扬声器和误差麦克风，其中，所述任一个降噪器中的参考麦克风、扬声器和误差麦克风三者到所述任一个降噪器所处维护结构的垂直距离逐步增大，所述系统还包括根据权利要求13或14所述的建筑空间降噪装置。15. A building space noise reduction system, characterized by comprising a plurality of noise reducers for being fixed on the inner surface of a maintenance structure of the building space, any one of the plurality of noise reducers reducing noise Each of the denoisers has a reference microphone, a speaker and an error microphone, wherein the vertical distance from the reference microphone, the loudspeaker and the error microphone in any one of the denoisers to the maintenance structure where the any denoiser is located gradually increases, The system further comprises a building space noise reduction device according to claim 13 or 14.
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