CN108877834A - Interlayer noise detection device and method and monitoring system - Google Patents
Interlayer noise detection device and method and monitoring system Download PDFInfo
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Abstract
It the present invention relates to the use of the noise direction and the interlayer noise detection device and method of noise type, the monitoring system using it of the interlayer noise that multiple microphone analyses generate indoors, it can be by providing noise feedback according to specific resident to being analyzed and being monitored based on the noise position of generated noise and noise direction, noise type.
Description
Technical field
The present invention relates to interlayer noise detection device and method and using its monitoring system, more particularly, to utilization
Multiple microphones analyze the technology being monitored according to the noise direction of the interlayer noise generated indoors and noise type.
Background technique
As urban centralization caused by social prosperity and over-congested population are concentrated, such as villa and apartment, multiple residents' is poly-
The building of the multilayered structure in residence just generalizes.
Due to the characteristic for the apartment house that multiple residents live across wall and ground, the building of this multilayered structure
Generate resentment caused by interlayer noise.
In particular, directly having to the impulsive sound that the ground of building or wall apply impact and generates in interlayer noise
It is easy to that there is the spirit and health of adjacent resident member due to this noise to the characteristic that adjacent resident transmits
Deleterious effect, and lead to the serious quarrel between neighbours, therefore, recently become serious social concern.
According to investigation, about 65% South Korea's national life is in apartment or apartment house (building of multilayered structure), wherein
95% or more South Korea resident lives through the interlayer noise bring pain in adjacent resident's generation.
For solving the problems, such as that this prior art is largely related to being laminated on the ground of most building for delaying
It rushes shockproof material of interlayer noise etc. and is properly formed the padded coaming of air layer.
But there is limitation in terms of only effectively separating interlayer noise by the padded coaming of buffering interlayer noise.
Therefore, government is by reinforcing interlayer noise barrier property benchmark related with New Dwelling and reinforcing and interlayer noise
Aggrieved related punishment regulations etc. come make great efforts solve interlayer noise problem.But in the feelings for generating dispute caused by interlayer noise
Under condition, the noise actually generated and submission need to be detected and record, still, the limitation with aggrieved clear basis difficult of proof.
In particular, injure resident and aggrieved resident can since solid transmitting sound becomes the characteristic of the interlayer noise of main cause
It can not be the resident of direct perpendicular contact.In the case, it without specific solution, and generates and causes interlayer noise aggrieved
The situation of unnecessary dispute between resident and top resident, therefore, when generation interlayer noise is aggrieved (when generating resentment),
Need to export the method that interlayer noise generates resident.
Also, it grasps the noise rank (decibel, dB) generated from interlayer noise generation resident and noise type is particularly important.
In general, interlayer noise is race jump sound, the footsteps, the underwater sound of toilet, the sound of moving furniture, musical instrument of child
The general designation of voice sound and TV (TV) sound etc., therefore, it is often more important that grasp more accurate noise type clearly to prove
It is aggrieved.
Therefore, there is an urgent need to by ensure objective materials related with interlayer noise to interlayer noise induce resident take it is suitable
When measure come the reality of the dispute and resentment that are effectively prevented between neighbours caused by interlayer noise and the technology of high usage.
Existing technical literature
Patent document
Korean granted patent the 10-1561849th (authorization on October 14th, 2015), " directionality interlayer noise measuring dress
Set and interlayer noise tracing system "
Korean granted patent the 10-1349268th (authorization on December 30th, 2013), " utilizes the source of sound of microphone array
Distance detection device "
KR published patent the 10-2015-0144456th (on December 28th, 2015 is open), " interlayer of apartment house is made an uproar
Sound tube manages device and method "
Summary of the invention
The object of the present invention is to provide following interlayer noise detection device and methods and monitoring system：It can be by dividing
It analyses and monitors noise position caused by noise generates and noise direction, noise type to provide noise feedback according to characteristic resident.
Also, the object of the present invention is to provide following interlayer noise detection device and methods and monitoring system：It utilizes
More accurate noise direction and noise position are grasped with multiple microphones of two-dimensional matrix morphologic arrangement, can be made an uproar by analyzing to induce
The noise type of sound ensures objectivity material.
Also, the object of the present invention is to provide interlayer noise detection device and methods and monitoring system：It distinguishes in object
The noise generated in resident (upstairs or next door) and the noise generated in detection resident (for example, own home or user of service family)
It is detected, so as to more accurately analyze noise reasons and the interlayer noise with the monitoring of the value of numeralization according to each resident
Degree.
Also, the object of the present invention is to provide following interlayer noise detection device and methods and monitoring system：It uses
Personnel can recognize the influence generated to object resident (downstairs) by detecting and monitoring the noise generated in detection resident.
The interlayer noise detection device of one embodiment of the invention includes：Microphone array (array), including it is arranged in substrate
On multiple microphones；Noise analysis portion analyzes noise direction related with noise using above-mentioned microphone array, deposits in advance
It is stored in multiple noise types of reference table (reference table) and estimates noise type related with above-mentioned noise；And
Control unit, when estimating noise type related with above-mentioned noise failure in the case where, using communication network send for obtain with
The request of the information of the related noise type of above-mentioned noise.
Above-mentioned microphone array may include being arranged on aforesaid substrate with two-dimentional (Two-dimensional) matrix shape
Above-mentioned multiple microphones.
Above-mentioned microphone array can be connected with the integrated circuit (IC, Integrated Circuit) for being formed in aforesaid substrate
It fetches to paste slab organization and be formed.
In the case where being more than the critical value set, above-mentioned noise analysis portion can utilize event detector (Event
Detector) or noise-like algorithm estimates noise rank related with above-mentioned noise, noise type and noise direction.
The signal data that above-mentioned noise analysis portion is obtained from above-mentioned microphone array wakes up (wake-up), available
The arrival time of above-mentioned signal data and above-mentioned signal data detects noise rank related with above-mentioned noise.
Above-mentioned noise analysis portion can be applicable in high-pass filter (High Pass Filter) and low pass to above-mentioned signal data
One or more of filter (Low Pass Filter) come detect with as interlayer noise generation frequency band 63Hz to 1kHz
The related noise rank of above-mentioned noise in frequency band.
Above-mentioned noise analysis portion can according to arrival time of the above-mentioned signal data that above-mentioned multiple microphones detect respectively and
It is related with above-mentioned noise to analyze by signal arrival time difference (Time Difference of Arrival, TDoA) algorithm
Noise position and noise direction.
Above-mentioned noise analysis portion can pass through according to above-mentioned signal data and noise rank related with above-mentioned noise to estimate
Machine learning (machine learning) as data mining technology with above-mentioned by making an uproar in the above-mentioned reference table of medelling
The related noise type of sound.
Above-mentioned reference table can be stored in advance and maintain the multiple noise types learnt using machine learning.
When failing during estimating noise type in above-mentioned noise analysis portion, above-mentioned control unit can be by logical
Letter module controls noise rank related with above-mentioned noise and above-mentioned signal data to the mode that external server is sent.
Above-mentioned control unit passes through above-mentioned communication mould according to noise rank related with above-mentioned noise and above-mentioned signal data
Block receives the new noise type analyzed by machine learning from said external server, can in the change of above-mentioned reference table or
The mode of the mode of the type of addition and deletion based on above-mentioned new noise type is controlled.
It is compared to noise direction related with above-mentioned noise and noise type and the interlayer noise range set
Result be more than certain threshold in the case where, above-mentioned control unit can be to send related with above-mentioned noise noise side to outside
It is controlled to the mode of one or more of, noise type and noise rank.
The interlayer noise detecting system of the embodiment of the present invention includes：Interlayer noise detection device, using in order between detection layers
Noise and the microphone array that is arranged analyzes noise direction related with noise, in the multiple noise kinds for being pre-stored within reference table
Noise type related with above-mentioned noise is estimated in class, wherein above-mentioned microphone array includes the multiple wheats being arranged on substrate
Gram wind；And external server, when estimating noise type related with above-mentioned noise in the case where failure, analysis is made an uproar with above-mentioned
The related information of noise type of sound, and monitor interlayer noise level.
Above-mentioned interlayer noise detection device includes：Above-mentioned microphone array is above-mentioned more on aforesaid substrate including being arranged in
A microphone；Noise direction related with above-mentioned noise is analyzed using above-mentioned microphone array, and is deposited in advance in noise analysis portion
It is stored in multiple noise types of above-mentioned reference table and estimates noise type related with above-mentioned noise；And control unit, it is estimating
When noise type related with above-mentioned noise in the case where failure, sent using communication network for obtaining and the noise of above-mentioned noise
The request of the related information of type.
Said external server can receive above-mentioned signal data, above-mentioned signal data from above-mentioned interlayer noise detection device
One or more of arrival time and noise rank related with above-mentioned noise simultaneously analyze new noise type by machine learning.
Said external server can be according to from the received noise related with above-mentioned noise of above-mentioned interlayer noise detection device
Rank, noise direction and noise type monitor the interlayer noise level of each resident.
Said external server can be according to noise rank related with above-mentioned noise, noise direction and noise type come to setting
It is placed in the metope tablet computer (Wall-pad) for generating the specific resident of noise and terminal sends noise feedback.
The working method packet of the interlayer noise detection device of the analysis noise direction and noise type of one embodiment of the invention
It includes：Using the microphone array being arranged for noise between detection layers come the step of analyzing noise direction related with noise,
In, above-mentioned microphone array includes the multiple microphones being arranged on substrate；In the multiple noise kinds for being pre-stored within reference table
The step of noise type related with above-mentioned noise is estimated in class；And it is lost when estimating noise type related with above-mentioned noise
In the case where losing, using communication network send for obtain information related with the noise type of above-mentioned noise request the step of.
The interlayer noise that interlayer noise level is monitored by analysis noise direction and noise type of the embodiment of the present invention
The working method of detection system includes：It is related with noise to analyze using the microphone array being arranged for noise between detection layers
Noise direction the step of, wherein above-mentioned microphone array includes the multiple microphones being arranged on substrate；It is being pre-stored within
The step of noise type related with above-mentioned noise is estimated in multiple noise types of reference table；And it analyzes and above-mentioned noise
The step of noise type related information.
Also, the interlayer that interlayer noise level is monitored by analysis noise direction and noise type of the embodiment of the present invention
The working method of noise detecting system may also include according to noise direction related with above-mentioned noise and noise type come supervisory layers
Between noise level the step of.
The embodiment of purpose according to the present invention can generate caused noise position and noise side by analyzing and monitoring noise
Come to provide noise feedback according to characteristic resident to, noise type.
Also, according to an embodiment of the invention, utilizing more acurrate with multiple microphones grasp of two-dimensional matrix morphologic arrangement
Noise direction and noise position, can ensure objectivity material by the noise type that analysis induces noise.
Also, according to an embodiment of the invention, distinguishing the noise generated in object resident (upstairs or next door) and examining
The noise of generation in resident (for example, own home or user of service family) is surveyed to detect, so as to more accurately analyze noise
Reason simultaneously monitors the interlayer noise level according to each resident with the value of numeralization.
Also, according to an embodiment of the invention, user of service can by detect and monitor detection resident in generate make an uproar
Sound come recognize to object resident (downstairs) generate influence.
Detailed description of the invention
Fig. 1 is the block diagram shown for the structure for illustrating the interlayer noise detection device of one embodiment of the invention.
Fig. 2 a and Fig. 2 b are the figure for showing the example of the algorithm in noise analysis portion of one embodiment of the invention.
Fig. 3 a to Fig. 3 c is the figure for showing the product example of interlayer noise detection device of one embodiment of the invention.
Fig. 4 is the figure for showing the structure of interlayer noise detecting system of the embodiment of the present invention.
Fig. 5 is the figure for showing the Application Example of interlayer noise detecting system of the embodiment of the present invention.
Fig. 6 a and Fig. 6 b are the figure for showing the example of monitoring interlayer noise.
Fig. 7 is the flow chart for showing the working method of interlayer noise detection device of one embodiment of the invention.
Fig. 8 is the flow chart for showing the working method of interlayer noise detecting system of the embodiment of the present invention.
The explanation of appended drawing reference
10：Substrate
20：Apartment or apartment house
311,312,313,314：Microphone
320,330,340,410,510：Interlayer noise detection device
400：Interlayer noise detecting system
420,520：External server
530,610：Metope tablet computer
620：Terminal
Specific embodiment
Hereinafter, the embodiment of the present invention is described in detail referring to attached drawing.But the present invention is not limited or is confined to
Embodiment.Also, identical component is indicated in each identical appended drawing reference shown in the accompanying drawings.
Also, the term (terminology) used in the present specification is of the invention preferred in order to express properly
Embodiment and the term used, this can be according to differences such as audient, the intention of operator or conventions of the art.Cause
This, need to pass through content-defined term of this specification.
Fig. 1 is the block diagram shown for the structure for illustrating the interlayer noise detection device of one embodiment of the invention.
Referring to Fig.1, the interlayer noise detection device of one embodiment of the invention is utilized with the multiple of two-dimensional matrix morphologic arrangement
The noise direction and noise type for the interlayer noise that microphone analysis basis generates indoors.
For this purpose, the interlayer noise detection device 100 of one embodiment of the invention includes microphone array 110, noise analysis portion
120 and control unit 130.
Microphone array 110 includes the multiple microphones being arranged on substrate.
For example, microphone array 110 may include with two-dimensional matrix morphologic arrangement in multiple microphones on substrate.Also,
Microphone array 110 is with the two-dimensional matrix morphologic arrangement of multidirectional (multidirectional), it may include with the interval set
The multiple microphones formed.
Above-mentioned microphone can be that the microphone sensor for detecting noise can be according to each in order to detect interlayer noise
Resident's setting.Also, multiple microphones, which can be formed on wall attachment shape substrate, to be arranged.
According to embodiment, the position of multiple microphones is arranged in a manner of mutually different respectively, therefore, except with noise source
Distance did not had except the case where difference, and the noise generated from identical noise source at the time of each microphone incidence to will obtain not
With value.It therefore, can be from the incident direction of noise known to the noise arrival time difference in the interval of microphone and each microphone.
The interlayer noise detection device 100 of one embodiment of the invention is with two-dimensional matrix morphologic arrangement and 6 microphones are arranged,
It can be distinguished on the basis of the horizontal plane between 1 row and 2 rows from the downside noise of downside direction incidence and be entered from upper side direction
The upside noise penetrated.Further, it is possible to be distinguished on the basis of the vertical plane of 2 column from the left side noise of left direction incidence and from right side
Therefore the right side noise of direction incidence can be more accurately distinguished between in 360 degree on the basis of interlayer noise detection device 100
Noise direction and position.
According to embodiment, in order to more accurately obtain the incident direction of noise, the usage quantity of microphone can be greater than 6,
Few quantity can be used according to be applicable in scale and volume, therefore, it's not limited to that for quantity.
Also, microphone array 110 can be connected to be formed with pasting slab organization with the integrated circuit for being formed in substrate.
Said integrated circuit uses integrated technology, so as to handle filtering, amplification, digitlization and the processing function of signal
Energy.It can be also the integrated and multifunction integrated circuit sensor of the processing signal in substrate according to embodiment
(integrated circuit sensor)。
Aforesaid substrate can be the material assembled and disassembled on building ceiling, wall and ground, type, form and the shape of substrate
It's not limited to that.
Noise analysis portion 120 analyzes noise direction related with noise using microphone array 110, is being pre-stored within
Noise type related with noise is estimated in multiple noise types of reference table.
Hereinafter, coming referring to Fig. 2 a and Fig. 2 b to presumption noise rank related with the noise in noise analysis portion 120, noise kind
The algorithm of class and noise direction is illustrated.
Fig. 2 a and Fig. 2 b are the example for showing the algorithm in noise analysis portion of one embodiment of the invention.
More specifically, Fig. 2 a is the noise analysis portion for showing the interlayer noise detection device using one embodiment of the invention
Event detector estimates the figure of the example of the algorithm of noise rank related with noise, noise type and noise direction, and Fig. 2 b is
The noise-like algorithm in the noise analysis portion of the interlayer noise detection device using one embodiment of the invention is shown to estimate and noise
The figure of the example of the algorithm of related noise rank, noise type and noise direction.
It makes an uproar in general, apartment or apartment house (building of multilayered structure) also generate life in real time in addition to interlayer noise
Sound.
In the case where the interlayer noise detection device of one embodiment of the invention carries out noise analysis to all noises, can produce
Overload caused by raw high calculation amount, therefore, noise analysis portion 120 can be carried out on the basis of the certain threshold set
Initial analysis.
More specifically, noise analysis portion 120 can be to the critical value (threshold) set and in microphone array 210
Sampling (Sampling) signal data of middle acquisition is compared to distinguish interlayer noise and life noise.Later, it is being judged as
In the case where interlayer noise, noise analysis portion 120 can carry out analysis related with noise rank, noise direction and noise type.
Referring to Fig. 2 a and 2b, obtained using event detector 220 (Event detector) or noise-like algorithm 231
In the case where the critical value set, noise analysis portion 120 can carry out postposition algorithm 231,232,233 estimate with it is above-mentioned
The related noise rank of noise, noise type and noise direction.
For example, referring to Fig. 2 a, the interlayer noise detection device of one embodiment of the invention to the certain threshold set and
Therefore the signal data obtained in microphone array 210, which is compared to differentiation interlayer noise and life noise, may also include
Wake up the event detector 220 in noise analysis portion 120.Using event detector 220, it can only pass through electric signal meter
Calculate sound press.
More specifically, event detector 220 can be obtained from microphone array 210 to receive sampled signal data, in signal
In the case that data are more than the critical value that has set, noise analysis portion 120 can carry out postposition algorithm 231,232,233 estimate with
The related noise rank of above-mentioned noise, noise type and noise direction.
According to embodiment, respectively multiple microphone detections of microphone array 210 to signal data can be amplified
Device amplifies and samples, and event detector 220 can receive sampled signal data.
Such as another example, referring to Fig. 2 b, in the case where no event detector 220, the interlayer of one embodiment of the invention is made an uproar
Sound detection device can distinguish interlayer noise and life noise using the detection other noise-like algorithm 231 of noise level, can also wake up
Noise analysis portion 120.It, can be according to the frequency separation interlayer noise of identical sound press using noise-like algorithm 231.
More specifically, noise-like algorithm 231 receives the signal data for obtaining and sampling from microphone array 210, to distinguish
People actually feels the voice data of the interlayer noise for noise, and noise analysis portion 120 can carry out postposition algorithm 231,232,233
To estimate noise rank related with above-mentioned noise, noise type and noise direction.
Referring again to Fig. 1, the noise analysis portion 120 of the interlayer noise detection device 100 of one embodiment of the invention is by from wheat
The signal data that gram wind array 110 obtains wakes up, and can be detected using the arrival time of signal data and signal data and noise
Related noise rank.
According to embodiment, mode as described in Fig. 2 a and Fig. 2 b, noise analysis portion 120 can pass through existing event detector
220 or noise-like algorithm 231 carry out.
It detects in the arrival of signal data and signal data that multiple microphones detect respectively in noise analysis portion 120
Between, noise rank can be detected from the arrival time of the signal data based on the interval set.Above-mentioned noise rank means to make an uproar
Sound level is not (magnitude), that is, decibel (dB).
For example, noise analysis portion 120 can be by being applicable in one of high-pass filter and low-pass filter to signal data
Above come detect as interlayer noise generation frequency band 63Hz to 1kHz frequency band in noise rank.
More specifically, the signal data (voice signal) detected respectively in multiple microphones can be amplified device to making an uproar
Sound analysis portion 120 inputs, and inputted signal data amplifies to sample in noise analysis portion 120, and is changed to frequency field domain, can press
The size of signal is detected according to each frequency accumulation weighted value.Later, noise analysis portion 120 can be to the square of acquired signal
Root (RMS, Root Mean Square) is applicable in low-pass filter to detect the noise rank of the change based on noise level.
It is induced by the difference of intrinsic vibration number or vibration transmissibility more than law benchmark in general, building exists
The intrinsic interlayer noise of interlayer noise induces frequency.It is induced in frequency in this interlayer noise, for example, generating impact in high level
In the case where sound, it can be obtained by detecting interlayer noise or be obtained by known building specificity analysis technology.As a result,
The noise analysis portion 120, event detector or the barrier of noise-like algorithm of one embodiment of the invention are not regarded as the life of interlayer noise
Noise living only filters and by the ingredient of substantially induction interlayer noise.
According to embodiment, noise analysis portion 120 can sample the sufficiently long sample for the accuracy for ensureing cross-correlation coefficient.Example
Such as, it is poor to be generated to the arrival time of the signal data of multiple microphone incidences by cross-correlation (cross correlation)
Different, therefore, if extracting minimal amount of sample, accuracy can be reduced.
Noise analysis portion 120 can obtain the digital noise signal according to each microphone extracted as sample as a result,
Between cross-correlation coefficient (cross correlation coefficient) detect arrival time and the noise of signal data
Rank.
Also, the noise analysis portion 120 of the interlayer noise detection device 100 of one embodiment of the invention can be according to multiple Mikes
The arrival time for the signal data that wind detects respectively and position and the noise that noise is analyzed by signal arrival time difference algorithm
Direction.
For example, noise analysis portion 120 can according to the signal data detected in multiple microphones arrival time presumption
Signal arrival time difference (TDoA) in all detection angles can analyze the direction for generating noise as a result,.
According to embodiment, in the case that the interval (d) between multiple microphones separates 1cm, can with 1 sample room every
Difference is detected, can be with 4 sample rooms every being detected in the case where being separated with the interval 4cm.That is, sampling 40kHz's
In the case of, noise analysis portion 120 can detect position and direction with the resolution ratio of maximum 1cm.
Also, the noise analysis portion 120 of the interlayer noise detection device 100 of one embodiment of the invention according to signal data and
Noise rank is analyzed and is obtained through the noise type in the reference table as the machine learning medelling of data mining technology.
Above-mentioned reference table can for by sound classification (sound classification) technology to occupying overall noise
About 95% forward noise type carries out the table of medelling and list.Above sound sorting technique can be related with noise to extract
Feature and by pretreatment each noise of (Pre-processing) process classification technology.
Wherein, above-mentioned forward noise type may include the race jump sound or footsteps, hammer sound, family's electroacoustic (TV of child
(TV), dust catcher, washing machine etc.), furniture sound (sound that the behavior dragging or cut generates), musical instrument sound (piano etc.), dialogue sound (strives
Disturb by making noise), chatter (machine vibration etc.), the sound of switch gate, Quick drainage sound (toilet, rush bath sound etc.), sports apparatus (run
Step machine, golf push rod etc.), animal sound (dog, cat etc.) and culinary cuisine sound etc., the quantity and type of forward noise type are not
It is defined in this.
For example, noise analysis portion 120 reference table of list and can pass through according to the mode for analyzing forward noise type
Machine learning as data mining technology comes from signal data, the arrival time of signal data, noise rank and noise direction
One or more of analyze and obtain noise type.
When estimating noise type related with noise in the case where failure, control unit 130 is used for using communication network transmission
Obtain the request of information related with the noise type of noise.
For example, when the result type related with noise for carrying out machine learning in noise analysis portion 120 is not included in ginseng
In the case where examining table, can with by communication module to external server it is (not shown) send signal data, signal data arrives
Mode up to one or more of time, noise rank and noise direction is controlled.
Mode related for forward noise type analyze in above-mentioned reference table and therefore list is generating
Furthermore in the case where noise, noise analysis portion 120 may not be able to analyze noise type.The layer of one embodiment of the invention as a result,
Between noise detection device 100 will be sent from the received data of microphone array 110 to external server, and connect from external server
Receive information related with new noise type.
More specifically, external server can be according to signal data, the arrival time of signal data, noise rank and noise side
To one or more of data pass through and analyze new noise type as the machine learning of data mining technology.External clothes as a result,
Business device can send out the noise sound type and control instruction analyzed (control command) to interlayer noise detection device 100
It send.
With from the received new noise type of external server and control instruction accordingly, according to its one embodiment of the invention
Interlayer noise detection device 100 control unit 130 can with to reference table change or add and delete according to new noise type
The mode of mode of type controlled.
Also, noise direction and noise type and the interlayer noise range set are being compared to be more than specific face
In the case where dividing value, control unit 130 can be to send one in noise direction, noise type and noise rank to external server
Kind or more mode controlled.
Control unit 130 can be to show noise to metope tablet computer and the terminal numeralization being arranged according to each resident
Direction and noise type, noise level are controlled otherwise.
For example, in the case where noise rank is more than the other range of the interlayer noise level that has set, 130 pairs points of control unit
Noise direction that the noise of analysis generates and according to its noise type quantize come to be set to detection resident (for example, oneself
Own family or user of service family) in metope tablet computer or detection resident person entrained by terminal transmission.
Also, in the case where user of service (or detection resident person) is more than the interlayer noise range set, control unit
Only external server sends one or more of noise direction, noise type and noise rank for 130 choosings, and external server can be to
End entrained by the metope tablet computer being set in object resident (upstairs or next door) caused by noise or object resident person
End sends noise feedback.
According to embodiment, control unit 130 can with to metope tablet computer or terminal with numerical value, value, percentage, image,
Picture, curve graph, information, sound and remind household information of at least one of sound display according to noise direction, noise type
And noise level is controlled otherwise.
Above-mentioned terminal is terminal entrained by detect in resident person or object resident person at least one, can be intelligence hand
At least one of machine, tablet computer (PC) and personal computer (PC), it's not limited to that for the type of terminal.
Above-mentioned communication module can be wireless transmission direct circuit (Wireless data transport device) or nothing
Line transmitting device.
Also, communication module can be constituted in a manner of realizing a kind of wired and or wireless communications interface, to make this hair
At least one of interlayer noise detection device 100 and external server, terminal and metope tablet computer of a bright embodiment are handed over
Change information.
According to embodiment, communication module can send or receive data and control instruction with mutually different transmission bandwidth,
ZigBee protocol, bluetooth, z-wave, Wireless Fidelity (Wi-Fi), Wi-Max, IEEE can be applicable according to coverage rate (coverage)
At least one of 802.11 and Ad hoc network (SWAP) wireless mode, but not limited to this.
The interlayer noise detection device 100 of one embodiment of the invention may also include power supply (not shown).
Power supply can be supplied to the microphone for being included in the interlayer noise detection device 100 of one embodiment of the invention, signal point
The driving power of at least one of analysis portion 120, control unit 130 and communication module.
For example, power supply can be by being applicable in microminiature charge/discharge battery or microminiature supercapacitor (super-
Capacitor active (Active) element) is constituted.
According to embodiment, power supply can be the one-shot battery of coin battery etc. or the secondary cell of lithium polymer battery etc.,
It in the case where power supply is secondary cell, can be charged by external power supply, in the case where the one-shot battery of coin battery, also
It is replaceable.
Fig. 3 a to Fig. 3 c is the figure for showing the product example of interlayer noise detection device of one embodiment of the invention.
More specifically, Fig. 3 a is the example for showing the product of the detection noise detection device suitable for one embodiment of the invention
Figure, Fig. 3 b are to show respectively in the figure of the example of the received noise source of multiple microphones, and Fig. 3 c is to show to make an uproar from multiple interlayers respectively
The figure of the example of received noise source in sound detection device.
Referring to Fig. 3 a, the interlayer noise detection device of one embodiment of the invention includes with two-dimensional matrix morphologic arrangement in substrate
Multiple microphones 311 on 10.
For example, the matrix morphologic arrangement that multiple microphones 311 can be arranged with n row n, it can be according to the interval d set with more
To morphologic arrangement.
The interlayer noise detection device of one embodiment of the invention can be by using the microphone including multiple microphones as a result,
Array more accurately detects accuracy raising and the position of noise of noise.
According to embodiment, the quantity of multiple microphones 311 is not limited, and the size of arrangement position and microphone 311 is also simultaneously
It is not limited to this.
Also, the interlayer noise detection device of one embodiment of the invention is gone back in addition to multiple microphones 311 on the substrate 10
It may include noise analysis portion (not shown), control unit (not shown) and communication module (not shown).
Fig. 3 b, which is shown, receives noise source (Sound with multiple microphones 312,313,314 of the interval d arrangement set
Wave) the case where.At this point, the time needed for the voice signal of noise source mobile 340m per second, mobile 1cm is 0.029 millisecond.
In the case where sampling above sound signal with 40kHz, 0.025 millisecond is consumed, the interlayer of one embodiment of the invention
Noise detection device can be reached by multiple signals each microphone 312,313,314 time difference detection signal direction and
Position.
Interval (d according to embodiment, between multiple microphones 312,313,31423Or d34) separate 1cm in the case where,
Can with 1 sample room every Difference test can be with 4 sample rooms every detection in the case where being separated with the interval 4cm.That is, with
In the case that 40kHz is sampled, the interlayer noise detection device of one embodiment of the invention can be with the resolution ratio check bit of maximum 1cm
It sets and direction.But for this purpose, interval (d between multiple microphones 312,313,31423Or d34) need far, noise source need to be located at
Between microphone, still, there are in the case where multiple microphone 312,313,314, can detect noise source on single substrate
Position and direction.
Referring again to Fig. 3 b, it has been confirmed that presenting by the microphone array of 3 microphones 312,313,314 has extremely
Few arrangement form once to fracture.3 microphones 312,313,314 can be located at end or break-off portion in arrangement form.
3 microphones 312,313,314 detect the sound equipment generated by identical noise source respectively, and export according to institute
The electric signal of the sound equipment detected.At this point, 3 microphones 312,313,314 distinguish institute even if generating in identical noise source
The sound equipment detected can be different.For example, this is because being by from a noise source to mutually different microphone is reached
Distance d only23、d34Deng transmission channels it is different.
The interlayer noise detection device of one embodiment of the invention can receive respectively from 3 microphones 312,313,314 as a result,
Noise data and noise data arrival time analyze noise direction.
As shown in Figure 3b, the interlayer noise detection device of one embodiment of the invention utilizes at least three in microphone array
Microphone 312,313,314 does not configure 3 microphones 312,313,314 point-blank, is rolled at least once with existing to have
Disconnected mode configures, so as to which the range for being used to estimate the direction of noise source is enlarged into 360 degree.
Referring to Fig. 3 c, show with spaced multiple interlayer noise detection devices 320 of 10ms, 20ms and 30ms,
330,340, and the case where receiving noise source (Noise) with multiple interlayer noise detection devices 320,330,340, is shown.It is utilizing
In the case where the detection noise of multiple interlayer noise detection devices 320,330,340 at mutually different interval, letter can be passed through
Number high noise position of arrival time difference algorithm detection resolution and noise direction.
Referring to Fig. 3 b and Fig. 3 c, the interlayer noise detection device of one embodiment of the invention can be by from multiple microphones or layer
Between the noise position analyzed of noise detection device and noise direction judge whether be the noise generated from own home's (detection resident),
From upstairs or next door (object resident) generate noise.
Its basis be can detect to the noise generated indoors and upstairs or the related study of the noise of next door generation
Or reference table is compared and possibility.Also, in order to improve the precision of detection, the arrival time difference of signal data can be combined
And signal intensity difference more accurately detects the direction and position of noise.
Fig. 4 is the figure for showing the structure of interlayer noise detecting system of the embodiment of the present invention.
Referring to Fig. 4, the interlayer noise detecting system of the embodiment of the present invention from interlayer noise detection device receive noise rank,
Noise direction and noise type monitor the interlayer noise level according to each resident.
For this purpose, the interlayer noise detecting system 400 of the embodiment of the present invention includes the layer for being set to apartment or apartment house 20
Between noise detection device 410 and external server 420.
The interlayer noise detection device 410 of the interlayer noise detecting system 400 of the embodiment of the present invention can be sent by network
Or receive external server 420 and data or control instruction.According to embodiment, in addition to external server 420, it is also transmittable or
Receive terminal or metope tablet computer and data or control instruction.
In order to detect interlayer noise, interlayer noise detection device 410 is from according to microphone array set by each resident
The noise rank according to the arrival time of signal data and signal data is detected to analyze noise direction, and is obtained using machine learning
Take the noise type in the reference table of medelling.Above-mentioned microphone array includes with two-dimensional matrix morphologic arrangement on substrate
Multiple microphones.
More specifically, interlayer noise detection device 410 may include that microphone array (not shown), noise analysis portion (do not scheme
Show) and control unit (not shown).
Above-mentioned microphone array includes the multiple microphones being arranged on substrate.
Above-mentioned noise analysis portion analyzes noise direction related with noise using microphone array, is being pre-stored within reference
Noise type related with noise is estimated in multiple noise types of table.
When estimating noise type related with noise in the case where failure, above-mentioned control unit utilizes communication network transmission to be used for
Obtain the request of information related with the noise type of noise.
Interlayer noise detection device 410 is illustrated in greater detail by Fig. 1 to Fig. 3 c in the above content, therefore will be saved
Slightly.
When interlayer noise detection device 410 estimates noise type related with noise in the case where failure, external service
Device 420 analyzes information related with the noise type of noise and monitors interlayer noise level.
When interlayer noise detection device 410 estimates noise type related with noise in the case where failure, external service
Device 420 can receive one of signal data, the arrival time of signal data and noise rank from interlayer noise detection device 410
Analyze new noise type above and by machine learning.
For example, identical as the analysis work in noise analysis portion in the interlayer noise detection device 410 of one embodiment of the invention
Ground, external server 420 can be according to the data of one or more of signal data, the arrival time of signal data and noise rank
Noise type is analyzed by the machine learning as data mining technology.
According to embodiment, in the case where not carrying out study and list in 410 internal reference table of interlayer noise detection device,
External server 420 can utilize one or more of received signal data, the arrival time of signal data and noise rank
Data and new noise type is analyzed by machine learning.
Later, external server 420 sends out control instruction related with new noise type to interlayer noise detection device 410
It send, is controlled in a manner of changing or adding and delete the mode according to the type of new noise type to reference table.
For example, increasing in the frequency of new noise type or in the case where enhanced strength, external server 420 can be with to ginseng
The mode for examining table addition mode is controlled, additionally it is possible to learnt and the frequency and intensity of the noise type of list with grasping
It is controlled to delete the mode of the mode of a part of noise type.
Also, new noise type by previous reference table study and list noise type in deformation
In the case of, external server 420 can be controlled in a manner of a part of the mode of list in reference table by changing.
The interlayer noise detecting system 400 of the embodiment of the present invention makes basis be stored in interlayer noise detection device 410 as a result,
Interior reference table and the amount of the data of noise type maintained maintains prescribed level, send or receive data so as to reduce and draw
The overload risen.
Also, external server 420 can generate noise to being set to according to noise rank, noise direction and noise type
The metope tablet computer and terminal of specific resident sends noise feedback.
For example, in basis from the received noise rank of interlayer noise detection device 410, noise direction and noise type to
In the case that the result that the interlayer noise level of setting is compared overruns, external server 420 can will with noise rank,
Noise direction and the related information of noise type are to the metope tablet computer being arranged according to each resident or according to each resident's
User of service's terminal provides.
According to embodiment, external server 420 can with to metope tablet computer or terminal with numerical value, value, percentage, shadow
The display of at least one of picture, picture, curve graph, information and sound and noise rank, noise direction and noise type are related
The mode of information provides, and according to embodiment, can also be provided including at least one in warning message, alarm, sound, light and vibration
The alerting signal of kind.
Wherein, above-mentioned characteristic resident may include detection resident (own home or user of service family) and object resident (upstairs or
Next door).
Also, metope tablet computer and terminal may include for sending or receiving data, generating control instruction and display
Application program (Application) processor.
According to embodiment, external server 420 can send the control that user of service is inputted to interlayer noise detection device 410
System instruction.Above-mentioned control instruction may include interlayer noise detection device 410 work (On/Off), change signal detection cycle,
Change at least one of communication cycle and control reference table.
According to embodiment, external server 420 can be management office, interlayer Noise management center, interlayer Noise management
At least one of server and housing administration server, but not limited to this, can be one for managing and monitoring interlayer noise
Kind server.
Also, the clothes for managing more kinds of interlayer noises can also be provided in external server 420 in addition to above-mentioned service
Business, can construct the database according to it or can be communicated with other external servers, therefore, it's not limited to that.
Fig. 5 is the figure for showing the Application Example of interlayer noise detecting system of the embodiment of the present invention.
Referring to Fig. 5, the interlayer noise detecting system of the embodiment of the present invention includes：Interlayer noise detection device 510a, attachment
In apartment or the ceiling of apartment house；Interlayer noise detection device 510b, is attached to wall；And interlayer noise measuring dress
It sets 510c and is attached to ground.
In order to detect interlayer noise, interlayer noise detection device 510 is arranged according to each resident, from the form of two-dimensional matrix
Multiple microphone detections of arrangement analyze noise direction according to the noise rank of the arrival time of signal data and signal data,
Utilize the noise type in the reference table of machine learning obtaining mode.
For example, interlayer noise detection device 510 is according to noise rank, noise direction and the noise type analyzed to having set
Fixed interlayer noise range is compared, can be with to external server 520 or metope in the case where being more than certain threshold
Tablet computer 530 sends data and is controlled come the mode shown.
According to embodiment, in the case where the degree of noise is more than certain threshold, interlayer noise detection device 510 may be used also
Noise feedback is sent to detection resident person's terminal, above-mentioned noise feedback can be the noise feedback generated in detection resident.
External server 520 can be according to from the received noise rank of interlayer noise detection device 510, noise direction and noise
Type sends noise feedback to the object resident (upstairs or next door) for generating noise.
For example, interlayer noise detection device 510 according to detected noise rank in No. 201 detection residents, make an uproar
Sound direction and noise species detection 202 noises, and can by detected noise rank, noise direction and noise type to
External server 520 is sent.Wherein, external server 520 can according to wall of the received information into No. 202 object residents
Terminal entrained by face tablet computer 530 or object resident person sends noise feedback.
Above-mentioned noise feedback according to noise rank and noise type with numerical value, value, percentage, image, picture, curve graph,
At least one of information, sound and prompting sound are sent, it may include are sent according to the other caution signal of noise level.
Metope tablet computer 530 shown in fig. 5 can be with numerical value, value, percentage, image, picture, curve graph, information, sound
The display of at least one of sound and prompting sound and output, can according to the household information of noise direction, noise type and noise rank
Data are received from interlayer noise detection device 510 or external server 520.
According to embodiment, metope tablet computer 530 is the equipment for showing information related with the living environment of user of service,
The wall of apartment or apartment house can be attached to be formed.
Fig. 6 a and Fig. 6 b are the figure for showing the example of monitoring interlayer noise.
More specifically, Fig. 6 a is the example for showing the metope tablet computer for monitoring interlayer noise, Fig. 6 b is to show to be used for
Monitor the example of the terminal of interlayer noise.
Referring to Fig. 6 a, can be supervised from the information of the metope tablet computer push (push) by being set to apartment or apartment house
Control interlayer noise level.
For example, metope tablet computer 610 can be received according to by network from interlayer noise detection device or external server
Noise rank, noise direction and noise type monitor real-time interlayer noise level, can be objectively in detection resident (own home
Or user of service family) in the noise level generated and the noise level generated in the object resident (upstairs or next door) be compared
To be monitored and export.
Referring to Fig. 6 b, user of service can by entrained terminal 620 from interlayer noise detection device, external server and
At least one of metope tablet computer receives noise feedback.
For example, interlayer noise detection device or external server are according to noise rank, noise direction and noise type to
It, can be in the case where being more than critical value whether the interlayer noise range of setting is compared to judgement and is more than certain threshold
Terminal 620 provides noise feedback.
According to embodiment, as shown in Figure 6 b, noise feedback can be sent with information, but it is possible to alarm, vibration, lamp
The output of at least one of light and sound.Metope tablet computer 610 shown in Fig. 6 a and Fig. 6 b and terminal 620 may be provided with responsible
The application program of a variety of application functions, it is logical using set application program and external server or interlayer noise detection device
Letter.
Also, monitoring interlayer noise example shown in Fig. 6 a and Fig. 6 b can be provided by the guide set, still, for reality
When to user of service provide interlayer noise level, the example of applicable more kinds of multiplicity, therefore, it's not limited to that.
Fig. 7 is the flow chart for showing the working method of interlayer noise detection device of one embodiment of the invention.
Method shown in Fig. 7 can pass through the noise direction and noise type of analysis one embodiment of the invention shown in FIG. 1
Interlayer noise detection device executes.
Referring to Fig. 7, the microphone array being arranged for noise between detection layers analysis is utilized to have with noise in step 720
The noise direction of pass.Wherein, microphone array includes the multiple microphones being arranged on substrate.
Step 710 can be to obtain signal data and signal in multiple microphones on substrate from two-dimensional matrix morphologic arrangement
The step of arrival time of data.
For example, microphone array is with multidirectional two-dimensional matrix morphologic arrangement, it may include formed with the interval set more
A microphone.
Microphone can be microphone sensor for detecting noise, can in order to detect interlayer noise and according to it is each live
Family setting.Also, multiple microphones, which can be formed on wall attached type substrate, to be arranged.
According to embodiment, multiple microphones are respectively arranged in the different mode in position, therefore, are generated from identical noise source
Noise different values is obtained in addition to not having the case where difference at a distance from noise source to the time of each microphone incidence.Cause
This, can know the incident direction of noise from the interval of microphone and the noise arrival time difference of each microphone.
Also, microphone array can be connected to be formed with pasting slab organization with the integrated circuit for being formed in substrate.
Also, step 710 can for according to the arrival time of signal data and signal data detect noise rank and according to point
The step of arrival time for the signal data not obtained from multiple microphones and noise grade analysis noise direction.
For example, step 710 can according to arrival time of signal data for respectively detecting in multiple microphones pass through letter
The step of position of number arrival time difference algorithm analysis noise and noise direction.
It, in step 720, can be according to the arrival time of the signal data detected in multiple microphones according to embodiment
The signal arrival time difference in all detection angles (360 degree) is estimated, the position and direction for generating noise can be analyzed as a result,.
In step 720, estimating in multiple noise types of the reference table of medelling being pre-stored within has with noise
The noise type of pass.
Step 720 can be to be obtained according to signal data, the arrival time of signal data and noise rank and using machine learning
The step of taking the noise type in the reference table of institute's medelling.
For example, reference table can be to pass through sound classification technology for occupying about 95% forward noise type of overall noise
Medelling is carried out to carry out the table of list.Above sound sorting technique can be to extract feature related with noise and by pre- place
Manage the technology of each noise of process classification.
Wherein, forward noise type may include the race jump sound or footsteps, hammer sound, family's electroacoustic (TV, dust suction of child
Device, washing machine etc.), furniture sound (sound that the behavior dragging or cut generates), musical instrument sound (piano etc.), dialogue sound (quarrel etc.), vibration
Dynamic sound (machine vibration etc.), the sound of switch gate, Quick drainage sound (toilet, rush bath sound etc.), sports apparatus (treadmill, height
Your husband's push rod etc.), animal sound (dog, cat etc.) and culinary cuisine sound etc., the quantity and type of forward noise type are not limited to
This.
For example, step 720 can for according to the mode for analyzing forward noise type and the reference table of list passes through as number
According to the machine learning of digging technology from one of signal data, the arrival time of signal data, noise rank and noise direction
The step of analyzing above and obtaining noise type.
In step 730, it when estimating noise type related with noise in the case where failure, is sent and is used using communication network
In the request for obtaining information related with the noise type of noise.
Step 730 can be related with noise type for noise direction and noise type are sent acquisition to external server
The step of information.
Fig. 8 is the flow chart for showing the working method of interlayer noise detecting system of the embodiment of the present invention.
Method shown in Fig. 8 can be supervised by analyzing noise direction and the noise type of the embodiment of the present invention shown in Fig. 4
Control is executed according to the interlayer noise detecting system of the interlayer noise level of each resident.
Referring to Fig. 8, the microphone array being arranged for noise between detection layers analysis is utilized to have with noise in step 810
The noise direction of pass.Wherein, microphone array includes the multiple microphones being arranged on substrate.
Step 810 can be to obtain signal data and signal in multiple microphones on substrate from two-dimensional matrix morphologic arrangement
The step of arrival time of data.
For example, microphone array is with multidirectional two-dimensional matrix morphologic arrangement, it may include formed with the interval set more
A microphone.
Microphone can be the microphone sensor for detecting noise, can be according to each resident in order to detect interlayer noise
Setting.Also, multiple microphones, which can be formed on wall attached type substrate, to be arranged.
According to embodiment, multiple microphones are respectively arranged in the different mode in position, therefore, are generated from identical noise source
Noise different values is obtained in addition to not having the case where difference at a distance from noise source to the time of each microphone incidence.Cause
This, can know the incident direction of noise from the interval of microphone and the noise arrival time difference of each microphone.
Also, microphone array can be connected to be formed with pasting slab organization with the integrated circuit for being formed in substrate.
Also, step 810 can for according to the arrival time of signal data and signal data detect noise rank and according to point
The step of arrival time for the signal data not obtained from multiple microphones and noise grade analysis noise direction.
For example, step 810 can according to arrival time of signal data for respectively detecting in multiple microphones pass through letter
The step of position of number arrival time difference algorithm analysis noise and noise direction.
It, in step 810, can be according to the arrival time of the signal data detected in multiple microphones according to embodiment
The signal arrival time difference in all detection angles (360 degree) is estimated, the position and direction for generating noise can be analyzed as a result,.
In step 820, estimating in multiple noise types of the reference table of medelling being pre-stored within has with noise
The noise type of pass.
Step 820 can be to be obtained according to signal data, the arrival time of signal data and noise rank and using machine learning
The step of taking the noise type in the reference table of institute's medelling.
For example, reference table can be to pass through sound classification technology for occupying about 95% forward noise type of overall noise
Medelling is carried out to carry out the table of list.Above sound sorting technique can be to extract feature related with noise and by pre- place
Manage the technology of each noise of process classification.
Wherein, forward noise type may include the race jump sound or footsteps, hammer sound, family's electroacoustic (TV, dust suction of child
Device, washing machine etc.), furniture sound (sound that the behavior dragging or cut generates), musical instrument sound (piano etc.), dialogue sound (quarrel etc.), vibration
Dynamic sound (machine vibration etc.), the sound of switch gate, Quick drainage sound (toilet, rush bath sound etc.), sports apparatus (treadmill, height
Your husband's push rod etc.), animal sound (dog, cat etc.) and culinary cuisine sound etc., the quantity and type of forward noise type are not limited to
This.
For example, step 820 can for according to the mode for analyzing forward noise type and the reference table of list passes through as number
According to the machine learning of digging technology from one of signal data, the arrival time of signal data, noise rank and noise direction
The step of analyzing above and obtaining noise type.
Information related with the noise type of noise is analyzed in step 830.
Step 830 can for by the machine learning as data mining technology from signal data, signal data arrival when
Between, one or more of noise rank and noise direction the step of analyzing and obtaining noise type.
The working method of the interlayer noise detecting system of the embodiment of the present invention can in step 840 according to noise rank, make an uproar
Sound direction and noise type monitor the interlayer noise level according to each resident.
Device discussed above can be by hardware configuration element, software configuration element and/or hardware configuration element and software
The combination of structural element is realized.For example, illustrated device and structural element can utilize more than one in various embodiments
Common computer or specific purposes computers realize, e.g., processor, controller, arithmetic logic unit (ALU,
Arithmetic logic unit), it is digital signal processor (digital signal processor), microcomputer, existing
Field programmable gate array (FPA, field programmable array), programmable logic cells (PLU, programmable
Logic unit), microprocessor or any device that can be performed and respond instruction (instruction).Processing unit can be held
Row operating system (OS) and the more than one software application executed in aforesaid operations system.Also, processing unit is rung
The execution of software is answered to be close to, store, operate, handle and generate data.In order to make it easy to understand, to use a processing unit
The case where be illustrated, still, processing unit known to those skilled in the art may include multiple processing elements
The processing element of (processing element) and/or multiple types.For example, processing unit may include multiple processors or one
A processor and a controller.Also, other processing that may also include parallel processor (parallel processor) etc.
Structure (processing configuration).
Software may include computer program (computer program), code (code), instruction or they it is a kind of with
On combination, processing unit is constituted in a manner of the work needed for carry out or can be with independent or combine (collectively)
Mode give an order to processing unit.It is soft in order to be explained by processing unit or provide instruction or data to processing unit
Part and/or data can be in any kind of machine, structural element (component), physical units, virtual bench (virtual
Equipment), computer storage medium or device or transmitted signal wave (signal wave) carry out permanently or temporarily property
Ground, which is realized, embodies (embody).Software be dispersed in computer system connected to the network with the storage of the method for dispersion or
It executes.Software and data can be stored in more than one computer readable recording medium.
The method of embodiment can be recorded in calculating in the form of the program instruction that can be executed by a variety of computer units
Machine readable medium.Above-mentioned computer-readable medium can include program instruction, data file, data in a manner of alone or in combination
Structure etc..The program instruction for being recorded in above-mentioned medium can be the program instruction for being specifically designed and constituting for embodiment or can
To be the program instruction known in computer software technology personnel and used.Computer readable recording medium includes to store and execute
The hardware device that the mode of program instruction is specially constructed, for example, hard disk, floppy disk and secondary in the magnetic medium (magnetic waited
Media), the optical recording medium (optical of compact disc read-only memory (CD-ROM), Digital video disc (DVD) etc.
Media), the magnet-optical medium (magneto-optical media) of floptical disk (floptical disk) etc., read-only memory
(ROM), random access memory (RAM), flash memory etc..The example of program instruction not only includes the machine generation formed by compiler
Code, further includes the higher-level language code that can be executed in a computer by using Command Interpreter etc..Above-mentioned hardware device is in order to hold
The work of row embodiment and work as more than one software module, vice versa.
As described above, though embodiment is illustrated by the embodiment and attached drawing of restriction, as long as this skill
The those of ordinary skill in art field can then carry out a variety of modification and deformation according to the above records.For example, even if illustrated technology
Executed with the sequence different from illustrated method and/or the structural element of illustrated system, structure, device, circuit etc. with
The combination of shape and state or combination different from illustrated method, or replaced or taken by other structures element or equivalent technical solutions
In generation, can also realize result appropriate.
Therefore, other embodiments, other embodiments and the scheme being equal with the claimed range of invention also belong to invention
The range of claimed range.
Claims (20)
1. a kind of interlayer noise detection device, which is characterized in that including：
Microphone array, including the multiple microphones being arranged on substrate；
Noise analysis portion analyzes noise direction related with noise using above-mentioned microphone array, is being pre-stored within reference table
Multiple noise types in related with the above-mentioned noise noise type of presumption；And
Control unit when estimating noise type related with above-mentioned noise in the case where failure, is sent using communication network for obtaining
Take the request of the information of noise type related with above-mentioned noise.
2. interlayer noise detection device according to claim 1, which is characterized in that above-mentioned microphone array includes with two dimension
Matrix shape is arranged in above-mentioned multiple microphones on aforesaid substrate.
3. interlayer noise detection device according to claim 2, which is characterized in that above-mentioned microphone array and be formed in
The integrated circuit for stating substrate is connected to be formed with pasting slab organization.
4. interlayer noise detection device according to claim 1, which is characterized in that be more than the feelings of the critical value set
Under condition, above-mentioned noise analysis portion estimated using event detector or noise-like algorithm noise rank related with above-mentioned noise,
Noise type and noise direction.
5. interlayer noise detection device according to claim 4, which is characterized in that above-mentioned noise analysis portion is by from above-mentioned wheat
The signal data obtained in gram wind array wakes up, detected using the arrival time of above-mentioned signal data and above-mentioned signal data with
The related noise rank of above-mentioned noise.
6. interlayer noise detection device according to claim 5, which is characterized in that above-mentioned noise analysis portion is to above-mentioned signal
Data are applicable in one or more of high-pass filter and low-pass filter to detect and the generation frequency band as interlayer noise
The related noise rank of above-mentioned noise of the 63Hz into 1kHz frequency band.
7. interlayer noise detection device according to claim 6, which is characterized in that above-mentioned noise analysis portion is according to above-mentioned more
The arrival time for the above-mentioned signal data that a microphone detects respectively and analyzed by signal arrival time difference algorithm with it is above-mentioned
The related noise position of noise and noise direction.
8. interlayer noise detection device according to claim 5, which is characterized in that above-mentioned noise analysis portion is according to above-mentioned letter
Number and noise rank related with above-mentioned noise are estimated through the machine learning as data mining technology by medelling
Above-mentioned reference table in noise type related with above-mentioned noise.
9. interlayer noise detection device according to claim 8, which is characterized in that above-mentioned reference table is stored in advance and maintains
The multiple noise types learnt using machine learning.
10. interlayer noise detection device according to claim 8, which is characterized in that pushed away when in above-mentioned noise analysis portion
When determining to fail during noise type, above-mentioned control unit with by communication module will noise rank related with above-mentioned noise and
Above-mentioned signal data is controlled to the mode that external server is sent.
11. interlayer noise detection device according to claim 10, which is characterized in that above-mentioned control unit is made an uproar according to above-mentioned
The related noise rank of sound and above-mentioned signal data by above-mentioned communication module pass through machine from the reception of said external server
Learn the new noise type analyzed, to change or add and delete the type based on above-mentioned new noise type in above-mentioned reference table
The mode of mode controlled.
12. interlayer noise detection device according to claim 1, which is characterized in that make an uproar to related with above-mentioned noise
In the case that the result that sound direction and noise type and the interlayer noise range set are compared is more than certain threshold, on
Control unit is stated to send one or more of noise direction related with above-mentioned noise, noise type and noise rank to outside
Mode is controlled.
13. a kind of interlayer noise detecting system, which is characterized in that including：
Interlayer noise detection device analyzes make an uproar related with noise using the microphone array being arranged for noise between detection layers
Sound direction estimates noise type related with above-mentioned noise in the multiple noise types for being pre-stored within reference table, wherein on
Stating microphone array includes the multiple microphones being arranged on substrate；And
External server, when estimating noise type related with above-mentioned noise in the case where failure, analysis and above-mentioned noise
The related information of noise type, and monitor interlayer noise level.
14. interlayer noise detecting system according to claim 13, which is characterized in that above-mentioned interlayer noise detection device packet
It includes：
Above-mentioned microphone array, including the above-mentioned multiple microphones being arranged on aforesaid substrate；
Noise direction related with above-mentioned noise is analyzed using above-mentioned microphone array, and is being pre-stored in noise analysis portion
Noise type related with above-mentioned noise is estimated in multiple noise types of above-mentioned reference table；And
Control unit when estimating noise type related with above-mentioned noise in the case where failure, is sent using communication network for obtaining
Take the request of information related with the noise type of above-mentioned noise.
15. interlayer noise detecting system according to claim 14, which is characterized in that said external server is from above-mentioned layer
Between noise detection device receive above-mentioned signal data, the arrival time of above-mentioned signal data and noise level related with above-mentioned noise
Not one or more of and new noise type is analyzed by machine learning.
16. interlayer noise detecting system according to claim 14, which is characterized in that said external server is according to from upper
It is each to monitor to state the received noise rank related with above-mentioned noise of interlayer noise detection device, noise direction and noise type
The interlayer noise level of resident.
17. interlayer noise detecting system according to claim 16, which is characterized in that said external server according to it is upper
State the related noise rank of noise, noise direction and noise type come to be set to generate noise specific resident metope plate
Computer and terminal send noise feedback.
18. a kind of interlayer noise measuring method, special for analyzing the interlayer noise detection device of noise direction and noise type
Sign is, including：
Using the microphone array being arranged for noise between detection layers come the step of analyzing noise direction related with noise,
In, above-mentioned microphone array includes the multiple microphones being arranged on substrate；
The step of noise type related with above-mentioned noise is estimated in the multiple noise types for being pre-stored within reference table；And
When estimating noise type related with above-mentioned noise failure in the case where, using communication network send for obtain with it is above-mentioned
The step of request of the related information of noise type of noise.
19. a kind of working method of interlayer noise detecting system, for by analyzing noise direction and noise type come supervisory layers
Between noise level, which is characterized in that including：
Using the microphone array being arranged for noise between detection layers come the step of analyzing noise direction related with noise,
In, above-mentioned microphone array includes the multiple microphones being arranged on substrate；
The step of noise type related with above-mentioned noise is estimated in the multiple noise types for being pre-stored within reference table；And
The step of analyzing information related with the noise type of above-mentioned noise.
20. the working method of interlayer noise detecting system according to claim 19, which is characterized in that further include according to
The related noise direction of above-mentioned noise and noise type are come the step of monitoring interlayer noise level.
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| KR102254700B1 (en) * | 2020-02-28 | 2021-05-24 | 주식회사 세이렌어쿠스틱스 | Microphone device and method of detecting floor noise |
| KR102210164B1 (en) * | 2020-06-03 | 2021-02-01 | 엠아이큐브솔루션(주) | Method for managing life noise using deep learning |
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| KR20180123319A (en) | 2018-11-16 |
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