KR20180123319A - Apparatus and method for measuring noise between floors, and monitoring system thereof - Google Patents

Abstract

The present invention relates to an apparatus and a method for measuring an interlayer noise, capable of analyzing a noise direction and a noise type in accordance with the interlayer noise generated in a room using a plurality of microphones, and a monitoring system using the same. Noise feedback can be provided to each household by analyzing and monitoring a noise position, the noise direction, and the noise type in accordance with the generation of the noise.

Description

[0001] APPARATUS AND METHOD FOR MEASURING NOISE BETWEEN FLOORS, AND MONITORING SYSTEM THEREOF [0002]

The present invention relates to an apparatus and method for measuring an interlayer noise and a monitoring system using the same. More specifically, the present invention relates to a technique for analyzing and monitoring a noise direction and a noise type according to interlayer noise generated in a room using a plurality of microphones.

Due to the concentration of urbanization and population overcrowding due to social development, multi-storied buildings in which families of several families such as villas and apartments are living are becoming common.

Such a multi-storey building is complicated due to the noise of the floor due to the characteristics of the multi-family house living between the wall and the floor.

In particular, among the interstory noises, in the case of an impact sound generated by direct impact on the floor or wall of a building, it is easily transmitted to adjacent households. Such noise has a negative influence on the mental and physical health of the adjacent household members And has caused serious controversy among neighbors and has recently become a serious social problem.

According to the survey, about 65% of the people live in apartments or multi-storey buildings, with over 95% of residents suffering from interstate noise from adjacent households.

Most of the conventional techniques for solving such problems are for a cushioning material for appropriately forming an air layer by stacking a vibration proof material or the like for alleviating the interlayer noise on the floor of most buildings.

However, there is a limit to effectively block interlayer noise with a buffer material that mitigates interlayer noise.

Therefore, the government not only strengthens the performance standards for interlayer noise isolation for newly built houses, but also strives to solve the interlayer noise problem by reinforcing the punishment rules for the noise damages between the floors. However, when a dispute arises due to interstory noise, it is necessary to measure and record the actually generated noise, but it is difficult to provide clear grounds for proving the damage.

Especially, due to the characteristics of the interlayer noise, which is the main cause of the solid propagation noise, the generation and the victim generation may not be in direct contact with each other vertically. In this case, unnecessary disputes between the generation and the generation of the floor noise are caused without a clear solution, so a method of deriving an interlayer noise generation is required when a floor noise is generated (in case of a civil complaint).

It is also important to understand the type of noise as well as the noise level (decibel, dB) generated from the generation of interlayer noise.

Generally, the interlayer noise is generally called children's beeping sound, footstep sound, toilet sound, furniture moving sound, musical instrument sound, audio sound and TV sound, so it is better to clearly identify the type of noise It is important.

Therefore, there is a desperate need for realistic and highly utilizable technology that can effectively prevent disputes and complaints from neighbors due to interlayer noise by obtaining objective data on interlayer noise and taking proper measures for interlayer noise-induced generation.

Korean Registered Patent No. 101561849 (registered Oct. 01, 2015), "Directional Interlayer Noise Measurement Device and Interlayer Noise Tracking System" Korean Registered Patent No. 101349268 (registered on Dec. 30, 2013), "Device for Measuring Source Distance Using Microphone Array" Korean Patent Laid-Open Publication No. 1020150144456 (published Dec. 28, 2015), "

An object of the present invention is to provide an apparatus, a method and a monitoring system for interlayer noise measurement capable of providing noise feedback for each characteristic generation by analyzing and monitoring noise position, noise direction and noise kind according to noise generation.

It is another object of the present invention to provide a noise reduction method and a noise reduction method capable of more accurately detecting a noise direction and a noise position by using a plurality of microphones arranged in a two-dimensional matrix form, Apparatus and method, and a monitoring system.

It is also an object of the present invention to more accurately analyze the cause of noise by separately measuring the noise generated in the target generation (upstairs or next house) and the noise generated in the measurement generation (for example, home or user house) A method and a monitoring system for interlayer noise measurement capable of monitoring the degree of interlayer noise by a numerical value.

It is also an object of the present invention to provide an apparatus, method and monitoring system for measuring the noise generated in a measurement generation and capable of recognizing an influence on a target generation (lower layer) by a user.

An apparatus for measuring an interlayer noise according to an embodiment of the present invention includes a microphone array including a plurality of microphones arranged on a substrate, a microphone array for analyzing a noise direction of noise, a reference table A noise analyzer for estimating a noise type for the noise among the plurality of noise types previously stored in the noise analyzer, and a noise analyzer for estimating a noise kind for the noise using the communication network, And a control unit for transmitting a request to acquire the data.

The microphone array may include the plurality of microphones arranged in a two-dimensional matrix form on the substrate.

The microphone array may be connected to an integrated circuit (IC) circuit formed on the substrate to form a patch-like structure.

The noise analyzer may estimate a noise level, a noise type, and a noise direction of the noise when the predetermined threshold is exceeded by using an event detector or a sound level algorithm.

The noise analyzer may be wakened by signal data obtained from the microphone array, and the noise level for the noise may be measured using the signal data and the arrival time of the signal data.

The noise analysis unit may apply at least one of a high pass filter and a low pass filter to the signal data to calculate a noise level for the noise in the band of 63 Hz to 1 kHz, Can be measured.

The noise analyzer may analyze a noise location and a noise direction of the noise through a Time Difference of Arrival (TDOA) algorithm based on the arrival time of the signal data detected by each of the plurality of microphones have.

The noise analysis unit may estimate a noise type for the noise in the reference table patterned through machine learning, which is a data mining technique based on the signal data and the noise level for the noise.

The reference table may previously store and maintain a plurality of learned noise types using machine learning.

If the noise analysis unit fails to estimate the noise type, the control unit may transmit the noise level and the signal data for the noise to the external server through the communication module.

The control unit receives the noise level for the noise from the external server and the new noise type analyzed through machine learning based on the signal data through the communication module, You can control to change, add, and delete patterns.

The controller compares the noise direction and the noise type for the noise with the predetermined range of the noise level of the predetermined layer and, if the noise level exceeds the predetermined threshold value, transmits at least one of the noise direction, noise type, .

An interlayer noise measurement system according to an embodiment of the present invention includes a microphone array for measuring interlayer noise, wherein the microphone array includes a plurality of microphones arranged on a substrate, An interlayer noise measurement device for estimating a noise type for the noise among a plurality of types of noise stored in advance in a reference table, and an interlayer noise measurement device for estimating a kind of noise for the noise, Analyzes the information about the type of noise, and includes an external server that monitors the interlayer noise level.

Wherein the apparatus for analyzing noise comprises: a microphone array including the plurality of microphones arranged on the substrate; analyzing a noise direction of the noise using the microphone array; and a plurality of A noise analysis unit for estimating a noise type for the noise among the noise types of the noise and a request for obtaining information about the noise type for the noise using the communication network when the noise type for the noise fails to be estimated, And a control unit for transmitting the control signal.

The external server receives at least one of the signal data, the arrival time of the signal data, and the noise level for the noise from the interlayer noise measurement device, and analyzes the new noise kind through machine learning.

The external server may monitor the degree of interlaminar noise for each generation on the basis of the noise level, noise direction and noise type of the noise received from the interlayer noise measurement device.

The external server may transmit noise feedback to a wall pad and a terminal provided in a specific generation that generates noise based on the noise level, the noise direction, and the noise type for the noise.

A method of operating an interlayer noise measurement apparatus for analyzing a noise direction and a noise type according to an embodiment of the present invention includes a microphone array for measuring interlayer noise, wherein the microphone array includes a plurality of microphones arrayed on a substrate Analyzing the noise direction of the noise by using a noise table, estimating a noise type for the noise among a plurality of noise types previously stored in a reference table, and estimating a noise type for the noise And transmitting a request to acquire information on the type of noise for the noise using the communication network if the communication fails.

A method of operating an interlayer noise measurement system for monitoring the noise level and the type of noise according to an embodiment of the present invention is a microphone array provided for measuring interlayer noise, wherein the microphone array is arranged on a substrate Analyzing a noise direction with respect to noise by using a plurality of microphones, estimating a noise type for the noise among a plurality of types of noise previously stored in a reference table, And analyzing information about the type.

In addition, an operation method of the interlayer noise measurement system for monitoring the degree of noise between layers by analyzing the noise direction and the kind of noise according to the embodiment of the present invention includes monitoring the degree of interlayer noise based on the noise direction and the kind of noise for the noise As shown in FIG.

According to an exemplary embodiment of the present invention, it is possible to provide noise feedback for each characteristic generation by analyzing and monitoring noise position, noise direction, and noise kind according to noise generation.

Further, according to the embodiment of the present invention, more accurate noise direction and noise position can be grasped by using a plurality of microphones arranged in a two-dimensional matrix form, and objective data can be obtained by analyzing the kind of noise that causes noise .

In addition, according to the embodiment of the present invention, noise caused in a target household (upstairs or next house) and noise generated in a measurement household (for example, house or user house) are separately measured to more accurately analyze the cause of noise So that the interlayer noise level can be monitored as a numerical value for each generation.

In addition, according to an embodiment of the present invention, the noise generated in the measurement generation can be measured and monitored to allow the user to perceive the effect on the target generation (lower layer).

FIG. 1 is a block diagram illustrating a structure of an interlayer noise measurement apparatus according to an embodiment of the present invention. Referring to FIG.
FIGS. 2A and 2B illustrate an example of an algorithm of the noise analysis unit according to an embodiment of the present invention.
3A to 3C illustrate an example of an apparatus for measuring an interlayer noise according to an embodiment of the present invention.
FIG. 4 illustrates a structure of an interlayer noise measurement system according to an embodiment of the present invention.
FIG. 5 shows an application example of the interlayer noise measurement system according to the embodiment of the present invention.
6A and 6B show an example of monitoring interlayer noise.
7 is a flowchart illustrating an operation method of an interlayer noise measurement apparatus according to an embodiment of the present invention.
8 is a flowchart illustrating an operation method of an interlayer noise measurement system according to an embodiment of the present invention.

Hereinafter, embodiments according to the present invention will be described in detail with reference to the accompanying drawings. However, the present invention is not limited to or limited by the embodiments. In addition, the same reference numerals shown in the drawings denote the same members.

Also, terminologies used herein are terms used to properly represent preferred embodiments of the present invention, which may vary depending on the viewer, the intention of the operator, or the custom in the field to which the present invention belongs. Therefore, the definitions of these terms should be based on the contents throughout this specification.

FIG. 1 is a block diagram illustrating a structure of an interlayer noise measurement apparatus according to an embodiment of the present invention. Referring to FIG.

Referring to FIG. 1, the apparatus for measuring an interlayer noise according to an embodiment of the present invention analyzes a noise direction and a noise type according to interlayer noise generated in a room using a plurality of microphones arranged in a two-dimensional matrix form.

The apparatus 100 for measuring an interlayer noise according to an embodiment of the present invention includes a microphone array 110, a noise analyzer 120, and a controller 130.

The microphone array 110 includes a plurality of microphones arranged on a substrate.

For example, the microphone array 110 may include a plurality of microphones arranged on a substrate in a twodimensional matrix. The microphone array 110 may include a plurality of microphones arranged in a multidirectional two-dimensional matrix and formed at predetermined intervals.

The microphone may be a microphone sensor for noise measurement and may be provided for each generation to measure interlayer noise. In addition, a plurality of microphones may be formed on the wall-mounted substrate.

According to the embodiment, since the plurality of microphones are arranged in different positions from each other, a time at which the noise generated from the same noise source is incident on each microphone is different from the case where there is no difference in distance from the noise source . Thus, the incidence direction of the noise can be determined from the gap between the microphones and the difference of the noise arrival times in the respective microphones.

The apparatus 100 for measuring interlaminar noise according to an embodiment of the present invention arranges and arranges six microphones in a two-dimensional matrix form so that a lower side noise incident on the lower side with respect to a horizontal plane between the first and second rows, It is possible to distinguish the upper noise incident from the direction. In addition, since the left side noise incident from the left direction and the right side noise incident from the right direction can be distinguished from each other based on the vertical plane of the two rows, it is possible to more accurately distinguish the direction and position of the noise at 360 degrees from the interlayer noise measurement apparatus 100 .

Depending on the embodiment, the microphone may use more than six numbers to more accurately acquire the direction of incidence of noise, and the number may be a few depending on the size and volume applied, so the number is not limited thereto.

In addition, the microphone array 110 may be formed in a patch-like structure by being connected to an IC (Integrated Circuit) circuit formed on the substrate.

The IC circuit can process signal filtering, amplification, digitization and processing functions by using an integration technique. But may be an integrated and multi-functional integrated circuit sensor that processes signals in the substrate, depending on the embodiment.

The substrate may be a detachable material on a ceiling, a wall surface and a floor of a building, and the type, shape and shape of the substrate are not limited.

The noise analyzer 120 analyzes the noise direction of the noise using the microphone array 110 and estimates the noise kind of noise among a plurality of types of noise previously stored in the reference table.

Hereinafter, an algorithm for estimating a noise level, a kind of noise, and a noise direction for noise of the noise analysis unit 120 will be described with reference to FIGS. 2A and 2B.

FIGS. 2A and 2B illustrate an example of an algorithm of the noise analysis unit according to an embodiment of the present invention.

More specifically, FIG. 2A illustrates an example of an algorithm for estimating a noise level, a noise type, and a noise direction of noise using an event detector of a noise analysis unit of an interlayer noise measurement apparatus according to an embodiment of the present invention, FIG. 2B illustrates an example of an algorithm for estimating a noise level, a noise type, and a noise direction of a noise using a noise level algorithm of the noise analysis unit of the apparatus for measuring an interlayer noise according to an embodiment of the present invention.

Generally, in an apartment or a multi-story house (multi-storey building), living noise is generated in real time in addition to interlayer noise.

When the noise analyzing apparatus according to the embodiment of the present invention performs noise analysis on all the noises, an overload according to a high calculation amount may occur. Therefore, the noise analyzer 120 performs an initial analysis based on a predetermined threshold Can be executed.

More specifically, the noise analysis unit 120 can classify the inter-layer noise and the living noise by comparing the predetermined threshold with the sampling signal data obtained in the microphone array 210. Thereafter, the noise analysis unit 120 can analyze the noise level, the noise direction, and the noise type when it is determined that the noise is interlayer noise.

Referring to FIGS. 2A and 2B, the noise analyzer 120 may use post algorithms 231, 232, and 233 when exceeding a predetermined threshold value using an event detector 220 or a sound level algorithm 231 A noise level, a noise type, and a noise direction for the noise can be estimated.

For example, referring to FIG. 2A, the apparatus for measuring an interlayer noise according to an embodiment of the present invention may classify inter-layer noise and life noise by comparing a predetermined threshold value and signal data obtained in the microphone array 210, And may further include an event detector 220 for waking up the noise analysis unit 120. [ When the event detector 220 is used, the sound pressure can be calculated through only the electrical signal.

More specifically, the event detector 220 receives the sampled signal data obtained from the microphone array 210, and if the signal data exceeds a predetermined threshold, the noise analysis unit 120 determines that the post algorithm 231, 232, and 233 to estimate the noise level, noise type, and noise direction for the noise.

According to the embodiment, the signal data sensed by each of the plurality of microphones of the microphone array 210 may be amplified and sampled through the amplifier, and the event sensor 220 may receive the sampled signal data.

Referring to FIG. 2B, the apparatus for measuring an interlayer noise according to an embodiment of the present invention includes a sound level meter 231 for measuring a sound level in the absence of the event detector 220, It is possible to classify the noise and to wake up the noise analysis unit 120. When the sound level meter algorithm 231 is used, it is possible to distinguish the interlayer noise for each frequency at the same sound pressure.

More specifically, the sound level meter algorithm 231 receives the sampled signal data obtained from the microphone array 210 to classify the sound data of the inter-layer noise that the real person feels as noise. The noise analyzer 120 analyzes the post- 231, 232, 233) to estimate the noise level, noise type, and noise direction for the noise.

1, the noise analysis unit 120 of the apparatus 100 for measuring an interlayer noise according to an embodiment of the present invention is woken up by signal data acquired by the microphone array 110, The noise level for noise can be measured using the arrival times of data and signal data.

According to an embodiment, the noise analysis unit 120 may be performed by the event detector 220 or the sound level algorithm 231, which is performed as described above in FIGS. 2A and 2B.

The noise analysis unit 120 measures the arrival time of the signal data and the signal data sensed by each of the plurality of microphones, and can measure the noise level from the arrival time of the signal data according to the predetermined interval. The noise level means the noise magnitude, i.e., decibel (dB).

For example, the noise analysis unit 120 may apply at least one of a high pass filter and a low pass filter to the signal data to calculate the noise level in the band of 63 Hz to 1 kHz, The noise level can be measured.

More specifically, the signal data (sound signal) sensed by each of the plurality of microphones can be input to the noise analysis unit 120 through the amplifier. The noise analysis unit 120 amplifies and samples the input signal data, Frequency domain, and the magnitude of the signal can be measured by accumulating the weights for each frequency. Thereafter, the noise analyzer 120 may measure a noise level due to the change of the noise level by applying a low pass filter to the root mean square (RMS) of the obtained signal.

Generally, there is a unique interstory noise inducing frequency that causes the interlayer noise exceeding the legal standard due to the difference of natural frequency or vibration transmission characteristic for each building. Such an interlayer noise inducing frequency may be obtained by measuring the interlayer noise, for example, when an impact sound occurs in the upper layer, or may be obtained according to a known structure property analyzing technique. Accordingly, the noise analyzer 120, the event detector, or the sound level meter algorithm according to the embodiment of the present invention can block the living noise that is not regarded as the interlayer noise and filter only the component that substantially induces the interlayer noise .

According to the embodiment, the noise analysis unit 120 may sample a sample of sufficient length to ensure accuracy of the cross correlation coefficient. For example, difference in arrival time of signal data incident on a plurality of microphones due to cross correlation may occur, so that accuracy may be lowered if too few samples are extracted.

Accordingly, the noise analyzer 120 can acquire the cross correlation coefficient between the digital noise signals of each microphone extracted as a sample, and measure the arrival time and the noise level of the signal data.

In addition, the noise analysis unit 120 of the apparatus 100 for measuring an interlayer noise according to an embodiment of the present invention calculates a Time Difference of Arrival (SIR) based on the arrival time of signal data sensed by each of a plurality of microphones, , TDoA) algorithm to analyze the position and noise direction of the noise.

For example, the noise analyzer 120 can estimate the TDoA at all measurement angles based on the arrival time of the signal data sensed by the plurality of microphones, thereby analyzing the direction in which the noise is generated.

According to the embodiment, if the distance d between the plurality of microphones is 1 cm apart, it is possible to measure with a difference of one sample interval, and when it is apart by 4 cm, it can measure with 4 samples. That is, the noise analysis unit 120 can measure the position and the direction at a resolution of 1 cm at maximum when sampling at 40 kHz.

In addition, the noise analysis unit 120 of the apparatus 100 for measuring an interlayer noise according to an embodiment of the present invention includes a reference table (not shown) that is patterned through machine learning, which is a data mining technique based on signal data and noise level Can be obtained by analyzing the kind of noise in

The reference table may be a list that is patterned by a sound classification technique for the upper noise types occupying about 95% of the total noise. The sound classification technique may be a technique of extracting characteristics of noise and classifying each noise through a preprocessing process.

Herein, the above-mentioned types of upper noise include sound of a child or a stepping sound, a hammer sound, a sound of household appliances (TV, a cleaner, a washing machine), a sound of a furniture (sounds generated by dragging or shooting) (Dogs, cats, etc.), sounding of animals (dogs, cats, etc.), sounds of conversation (wrangling etc.) And a kitchen cooking sound, but the number and kinds of the upper noise types are not limited thereto.

For example, the noise analysis unit 120 analyzes data of at least one of the signal data, the arrival time of the signal data, the noise level, and the noise direction based on the list of analyzed reference patterns, Which can be obtained by analyzing the kind of noise through machine learning.

If the control unit 130 fails to estimate the noise type for noise, the control unit 130 transmits a request to obtain information on the noise type for the noise using the communication network.

For example, when the type of noise is not included in the reference table as a result of performing the machine learning in the noise analysis unit 120, at least one of the signal data, the arrival time of the signal data, the noise level and the noise direction To an external server (not shown) through the communication module.

In the reference table, the pattern of the upper noise kind is analyzed and listed. Therefore, when other noise occurs, the noise analyzer 120 may not analyze the noise kind. Accordingly, the apparatus 100 for measuring an interlayer noise according to an embodiment of the present invention can transmit data received from the microphone array 110 to an external server, and receive information on a new noise type from an external server.

More specifically, the external server can analyze a new noise type through machine learning, which is a data mining technique, based on at least one of signal data, arrival time of signal data, noise level, and noise direction. Accordingly, the external server can transmit the analyzed new noise kind and the control command to the inter-layer noise measurement apparatus 100.

The control unit 130 of the apparatus 100 for measuring an interlayer noise according to an embodiment of the present invention adds a new noise type to the reference table corresponding to the type of new noise and the control command received from the external server To change, add, and delete the pattern according to the pattern.

In addition, the control unit 130 compares the noise direction and the type of noise with the predetermined inter-layer noise range, and controls the external server to transmit at least one of the noise direction, the noise type, and the noise level to the external server .

The controller 130 may control the display of the noise direction, the type of noise, and the noise level using a wall pad and a terminal provided for each generation.

For example, when the noise level is out of the predetermined inter-layer noise level range, the controller 130 digitizes the noise direction in which the analyzed noise is generated and the noise kind thereof, and outputs the noise direction to the measurement generation (for example, It can be transmitted to a terminal possessed by a built-in monthly pad or a measurement generation member.

The controller 130 transmits at least one of a noise direction, a noise type, and a noise level to an external server when a user (or a measurement generation member) is out of the predetermined inter-layer noise range, It is possible to transmit the noise feedback to the terminal held by the month pad or the target household provided in the target generation (upper layer or next door).

According to the embodiment, the control unit 130 controls generation of at least one of generation information, noise type, and noise level according to the noise direction to the wall pad or the terminal by using a numerical value, a value, a percentage, an image, a picture, a graph, As shown in Fig.

The terminal may be at least one of a smart phone, a tablet PC, and a PC, which is carried by at least one of a measurement household or a target household, and the terminal is not limited thereto.

The communication module may be a wireless data transport device or a wireless transmission device.

In addition, the communication module may include any wired and / or wireless communication interface so that information exchange can be performed with the inter-layer noise measurement apparatus 100 according to an embodiment of the present invention and at least one of an external server, a terminal, . ≪ / RTI >

Depending on the embodiment, the communication module may send and receive data and control commands with different transmission bandwidths, and may be configured to transmit ZigBee, Bluetooth, GeWave, WiFi, WiMax, IEEE 802.11 and Shared Radio Access Protocol (SWAP) , But the present invention is not limited thereto.

The apparatus 100 for measuring an interlayer noise according to an embodiment of the present invention may further include a power supply unit (not shown).

The power supply unit may supply driving power of at least one of a microphone, a signal analyzer 120, a controller 130, and a communication module included in the interlayer noise measurement apparatus 100 according to an embodiment of the present invention.

For example, the power supply unit may be composed of an ultra-small charge / discharge battery or an active device using an ultra-small supercapacitor.

According to an embodiment, the power supply unit may be a secondary battery such as a coin battery or a secondary battery such as a lithium polymer battery. When the power supply unit is a secondary battery, the power supply unit may be charged by an external power source, In case of battery, it may be replaced.

3A to 3C illustrate an example of an apparatus for measuring an interlayer noise according to an embodiment of the present invention.

More specifically, FIG. 3A shows an example applied to a product of the measured noise measurement apparatus according to an embodiment of the present invention, FIG. 3B shows an example of a noise source received in each of the plurality of microphones, FIG. 1 shows an example of a noise source received in each of the plurality of interlayer noise measurement devices.

Referring to FIG. 3A, the apparatus for measuring an interlayer noise according to an embodiment of the present invention includes a plurality of microphones 311 arranged on a substrate 10 in a twodimensional matrix form.

For example, the plurality of microphones 311 may be arranged in a matrix of n rows and n columns, and may be arranged in a multidirectional manner according to a predetermined interval d.

Accordingly, the apparatus for measuring an interlayer noise according to an embodiment of the present invention can improve the accuracy of noise and accurately measure the position of noise by using a microphone array including a plurality of microphones.

The number of the plurality of microphones 311 is not limited and the arrangement position and the size of the microphone 311 are not limited thereto.

The apparatus for measuring an interlayer noise according to an embodiment of the present invention further includes a noise analyzer (not shown), a controller (not shown) and a communication module (not shown) in addition to a plurality of microphones 311 on a substrate 10 .

Referring to FIG. 3B, a sound wave is received by a plurality of microphones 312, 313, and 314 arranged at predetermined intervals d. At this time, the sound signal of the noise source moves 340 meters per second, and the time taken to travel 1 cm is 0.029 milliseconds.

The interlayer noise measurement apparatus according to an embodiment of the present invention measures the time difference of arrival of signals to each of the microphones 312, 313, and 314, Arrival, TDoA), the direction and position of the signal can be measured.

According to the embodiment, if the distance d ₂₃ or d ₃₄ between the plurality of microphones 312, 313, and 314 is 1 cm apart, measurement can be made with a difference of one sample interval. If the distance is 4 cm apart, . That is, in the apparatus for measuring an interlayer noise according to an embodiment of the present invention, it is possible to measure a position and a direction at a resolution of 1 cm at maximum when sampling at 40 kHz. In order to achieve this, the distance d ₂₃ or d ₃₄ between the plurality of microphones 312, 313, and 314 must be long, and a noise source should be located between the microphones, but a plurality of microphones 312, 313, 314), the position and direction of the noise source can be measured.

Referring again to FIG. 3B, it can be seen that the microphone array by the three microphones 312, 313, and 314 represents an arrangement with at least one bend. The three microphones 312, 313, and 314 may be located at an endpoint or an inflection point in an array.

Each of the three microphones 312, 313, and 314 senses sound generated by the same noise source and outputs an electrical signal corresponding to the sensed sound. At this time, even though they are generated in the same noise source, the sounds sensed by each of the three microphones 312, 313, and 314 may be different from each other. For example, the distances d ₂₃ and d ₃₄ reaching different microphones from one noise source are different from each other.

Accordingly, the apparatus for measuring an interlayer noise according to an embodiment of the present invention can analyze the noise direction from the arrival times of the noise data and the noise data received by the three microphones 312, 313, and 314, respectively.

3B, the apparatus for measuring an interlayer noise according to an embodiment of the present invention uses at least three microphones 312, 313, and 314 in a microphone array, and three microphones 312, 313, It is possible to extend the range for estimating the direction of the noise source by 360 degrees by disposing it so that there is at least one bend.

Referring to FIG. 3C, a plurality of inter-layer noise measuring devices 320, 330, and 340 positioned at intervals of 10 ms, 20 ms, and 30 ms are shown. The plurality of inter-layer noise measuring devices 320, Is received. When noise is measured using a plurality of inter-layer noise measurement devices 320, 330, and 340 located at different intervals, it is possible to measure the noise position and the noise direction with high resolution through the TDoA algorithm.

3B and 3C, the apparatus for measuring an interlayer noise according to an embodiment of the present invention detects a noise generated in a house (measurement generation) through a noise location and a noise direction analyzed from a plurality of microphones or an interlayer noise measurement apparatus , The noise generated in the upper layer or the next house (target generation) can be determined.

The basis for measuring this is possible by comparing the noise generated in the room and the noise generated in the upstairs or next door with the learning or reference table. Further, in order to improve the accuracy of the measurement, it is possible to more precisely measure the direction and the position of the noise by combining the arrival time difference of the signal data and the signal level difference.

FIG. 4 illustrates a structure of an interlayer noise measurement system according to an embodiment of the present invention.

Referring to FIG. 4, an inter-layer noise measurement system according to an embodiment of the present invention receives a noise level, a noise direction, and a noise type from the inter-layer noise measurement apparatus and monitors the degree of inter-layer noise for each generation.

For this, the interlayer noise measurement system 400 according to the embodiment of the present invention includes an interlayer noise measurement device 410 and an external server 420 installed in an apartment or apartment house 20.

The interlayer noise measurement apparatus 410 of the interlayer noise measurement system 400 according to the embodiment of the present invention can transmit and receive data or control commands to and from the external server 420 via the network. According to an embodiment, data or a control command may be transmitted to or received from a terminal or a wallpad in addition to the external server 420.

The interlayer noise measurement device 410 measures noise levels according to arrival times of signal data and signal data from a microphone array provided for each generation to measure interlayer noise, analyzes the noise direction, learning is used to acquire the kind of noise in the patterned reference table. The microphone array includes a plurality of microphones arranged in a two-dimensional matrix form on a substrate.

More specifically, the interlayer noise measurement apparatus 410 may include a microphone array (not shown), a noise analysis unit (not shown), and a control unit (not shown).

The microphone array includes a plurality of microphones arranged on a substrate.

The noise analyzer analyzes the noise direction of the noise using a microphone array and estimates a noise type for noise among a plurality of types of noise previously stored in a reference table.

If the control unit fails to estimate the noise type for noise, the control unit transmits a request to obtain information on the noise type for the noise using the communication network.

The detailed description of the interlayer noise measurement device 410 has been described above with reference to FIGS. 1 to 3C, and therefore will not be described.

The external server 420 analyzes the information on the type of noise for the noise when the inter-layer noise measurement apparatus 410 fails to estimate the kind of noise for the noise, and monitors the degree of the inter-layer noise.

When the interlayer noise measuring apparatus 410 fails to estimate the noise kind for the noise, the external server 420 receives at least one of the signal data, the arrival time of the signal data and the noise level from the interlayer noise measuring apparatus 410 And analyze the new noise types through machine learning.

For example, the external server 420 may be configured to analyze at least one of the signal data, the arrival time of the signal data, and the noise level of the signal data in the same manner as the analysis operation of the noise analysis unit 410 in the interlayer noise measurement apparatus 410 according to an embodiment of the present invention. Based on the data mining technique, machine learning can analyze the noise types.

According to the embodiment, if the reference table in the inter-layer noise measurement apparatus 410 is not learned and listed, the external server 420 may receive at least one of the received signal data, the arrival time of the signal data and the noise level And can analyze new kinds of noise through machine learning.

Then, the external server 420 transmits a control command for the new noise type to the inter-layer noise measurement apparatus 410, and controls the reference table to change, add, or delete a pattern according to the type of the new noise type.

For example, the external server 420 can control to add a pattern to the reference table when the frequency of the new noise type increases or the intensity increases, and the frequency and intensity of the previously learned and listened noise types And to delete some noise type patterns.

The external server 420 may also control to partially change the listed patterns in the reference table when the new noise type is a variation of the noise type that is learned and listed in the existing reference table.

Accordingly, the inter-layer noise measurement system 400 according to the embodiment of the present invention can maintain the amount of data according to the type of noise stored and held in the reference table in the inter-layer noise measurement apparatus 410, Can be reduced.

In addition, the external server 420 may transmit noise feedback to a wall pad and a terminal provided in a specific generation generating noise based on the noise level, the noise direction, and the noise type.

For example, the external server 420 may compare the predetermined inter-layer noise level based on the noise level, the noise direction, and the type of noise received from the inter-layer noise measurement device 410 and determine the noise level, Information on the type of noise can be provided to the monthly pad or the user terminal for each household provided for each household.

According to an embodiment, the external server 420 may be configured to display at least one of a numerical value, a value, a percentage, an image, a picture, a graph, a message, and a voice And may provide a notification signal including at least one of a warning message, an alarm, a voice, a light, and a vibration according to an embodiment.

Here, the characteristic household may include a measurement household (home or user house) and a target household (upstairs or next house).

In addition, the moon pad and the terminal may include an application processor for data transmission / reception, control command generation and display.

According to an embodiment, the external server 420 may transmit a control command input from the user to the inter-layer noise measurement apparatus 410. The control command may include at least one of operation (On / Off) of the inter-layer noise measurement apparatus 410, change of a signal detection period, change of a communication period, and reference table control.

According to an embodiment, the external server 420 may be at least one of a management office, an interlayer noise management center, an interlayer noise management server, and a housing management server, but the present invention is not limited thereto, Lt; / RTI >

In addition, the external server 420 may further provide a service for managing various interlayer noise in addition to the above-described service, and may establish a database or communicate with another external server. Therefore, no.

FIG. 5 shows an application example of the interlayer noise measurement system according to the embodiment of the present invention.

5, an interlayer noise measurement system according to an embodiment of the present invention includes an interlayer noise measurement device 510a attached to a ceiling of an apartment or a house, an interlayer noise measurement device 510b attached to the wall, And an interlayer noise measurement device 510c.

The interlayer noise measurement device 510 is provided for each generation to measure interlayer noise and measures noise levels according to arrival times of signal data and signal data from a plurality of microphones arranged in a two-dimensional (twodimensional) matrix form, Analyze the direction and use machine learning to acquire the noise types in the patterned reference table.

For example, the inter-layer noise measurement device 510 may compare the predetermined inter-layer noise range based on the analyzed noise level, noise direction and noise type, and may compare the predetermined inter-floor noise range with the external server 520 or the wall pad 530 to display data.

According to an embodiment, the interlayer noise measurement device 510 may transmit noise feedback to the measurement household terminal if the degree of noise exceeds a certain threshold, and the noise feedback may be noise feedback occurring in the measurement generation.

The external server 520 may transmit noise feedback to a target generation (upstairs or next door) where the noise is generated based on the noise level, noise direction and noise type received from the interstage noise measurement device 510.

For example, the interlayer noise measurement apparatus 510 senses the noise of the heading 202 based on the noise level, the noise direction and the noise type measured in the measurement generation of the heading 201, and detects the noise level, the noise direction, (520). Here, the external server 520 may transmit the noise feedback to the terminal held by the month pad 530 or the target household in the target generation of the base station 202 based on the received information.

The noise feedback is transmitted by at least one of a numerical value, a value, a percentage, an image, a picture, a graph, a message, a voice and a notification sound based on a noise level and a noise type, .

5, the wall pad 530 displays at least one of generation information, noise type, and noise level according to the noise direction as numerical values, values, percentages, images, pictures, graphs, messages, And can receive data from the interlayer noise measurement device 510 or the external server 520. [

According to the embodiment, the wall pad 530 is a device for displaying information on the user's residential environment and may be formed by being attached to a wall of an apartment or apartment house.

6A and 6B show an example of monitoring interlayer noise.

More specifically, FIG. 6A shows an example of a month pad for monitoring interlayer noise, and FIG. 6B shows an example of a terminal for monitoring interlayer noise.

Referring to FIG. 6A, the interlayer noise level can be monitored from information that is pushed through a wall pad installed in an apartment or apartment house.

For example, the wall pad 610 can monitor the real-time interlayer noise level based on the noise level, noise direction and noise type received from the interlayer noise measurement device or the external server via the network, House) and the noise level occurring in the target household (upstairs or next door) can be objectively compared to monitor and output.

Referring to FIG. 6B, the user can receive noise feedback from at least one of the interlayer noise measurement device, the external server, and the wall pad through the terminal 620 having the user.

For example, the interlayer noise measurement device or the external server compares the predetermined inter-layer noise range based on the noise level, the noise direction, and the noise type to determine whether the specific threshold value is exceeded. If the threshold value is exceeded, ) To provide noise feedback.

According to an embodiment, the noise feedback may be transmitted as a message as shown in FIG. 6B, but may be output as at least one of alarm, vibration, light and voice. The monthly pad 610 and the terminal 620 shown in FIGS. 6A and 6B may have an application for various application functions, and may communicate with an external server or an interlayer noise measurement device using an installed application .

6A and 6B may be provided by a predetermined manual, but a variety of examples may be applied to provide the user with the degree of interlayer noise in real time. Therefore, the present invention is not limited thereto.

7 is a flowchart illustrating an operation method of an interlayer noise measurement apparatus according to an embodiment of the present invention.

The method shown in FIG. 7 can be performed by an inter-layer noise measurement apparatus for analyzing a noise direction and a noise type according to an embodiment of the present invention shown in FIG.

Referring to FIG. 7, in step 710, a noise direction for noise is analyzed using a microphone array provided for measuring interlayer noise. Here, the microphone array includes a plurality of microphones arranged on a substrate.

Step 710 may be to obtain the arrival times of the signal data and the signal data from the plurality of microphones arranged in the form of a two-dimensional matrix on the substrate.

For example, the microphone array may be arranged in a multidirectional two-dimensional matrix form and may include a plurality of microphones formed at predetermined intervals.

The microphone may be a microphone sensor for noise measurement and may be provided for each generation to measure interlayer noise. In addition, a plurality of microphones may be formed on the wall-mounted substrate.

According to the embodiment, since the plurality of microphones are arranged in different positions from each other, a time at which the noise generated from the same noise source is incident on each microphone is different from the case where there is no difference in distance from the noise source . Thus, the incidence direction of the noise can be determined from the gap between the microphones and the difference of the noise arrival times in the respective microphones.

Also, the microphone array may be formed in a patch-type structure by being connected to an IC (Integrated Circuit) circuit formed on the substrate.

In addition, step 710 may be a step of measuring the noise level based on the arrival time of the signal data and the signal data, and analyzing the noise direction based on the arrival time and the noise level of the signal data obtained in each of the plurality of microphones.

For example, step 710 may be a step of analyzing the location and noise direction of the noise through the Time Difference of Arrival (TDoA) algorithm based on the arrival time of the signal data sensed in each of the plurality of microphones have.

According to an embodiment, at step 710, TDoA at all measurement angles (360 degrees) can be estimated based on the arrival time of the signal data sensed in a plurality of microphones, thereby analyzing the location and direction of the noise .

In step 720, a noise type for noise is estimated among a plurality of types of noise previously stored in the reference table patterned.

Step 720 may be a step of obtaining a kind of noise in the patterned reference table using machine learning based on the signal data, the arrival time of the signal data, and the noise level.

For example, the reference table may be a list of patterns that are patterned through a sound classification technique for the top noise types that account for about 95% of the total noise. The sound classification technique may be a technique of extracting characteristics of noise and classifying each noise through a preprocessing process.

Here, the types of upper noise include children's sounds or steps, hammer sounds, appliances (TV, vacuum cleaner, washing machine), furniture sounds (sounds generated by dragging or shooting) (Dogs, cats, etc.), and the sound of water (water, toilet, shower, etc.), exercise equipment (running machine, golf putting, etc.) A kitchen cooking sound, and the like, but the number and kinds of the upper noise types are not limited thereto.

For example, in step 720, the pattern of the upper noise kind is analyzed and based on the list of reference tables, at least one of the signal data, the arrival time of the signal data, the noise level and the noise direction, And analyzing the kind of noise through the analysis.

If it fails to estimate the type of noise for the noise in step 730, it sends a request to obtain information about the type of noise for the noise using the communication network.

In operation 730, the noise direction and the type of noise may be transmitted to the external server to obtain information on the type of noise.

8 is a flowchart illustrating an operation method of an interlayer noise measurement system according to an embodiment of the present invention.

The method shown in FIG. 8 can be performed by an inter-layer noise measurement system for monitoring the noise level and noise kind according to the embodiment of the present invention shown in FIG. 4 and monitoring the inter-layer noise level for each generation.

Referring to FIG. 8, in step 810, the noise direction for noise is analyzed using a microphone array provided for measuring interlayer noise. Here, the microphone array includes a plurality of microphones arranged on a substrate.

Step 810 may be to obtain the arrival times of the signal data and the signal data from the plurality of microphones arranged in the form of a two-dimensional matrix on the substrate.

For example, the microphone array may be arranged in a multidirectional two-dimensional matrix form and may include a plurality of microphones formed at predetermined intervals.

The microphone may be a microphone sensor for noise measurement and may be provided for each generation to measure interlayer noise. In addition, a plurality of microphones may be formed on the wall-mounted substrate.

According to the embodiment, since the plurality of microphones are arranged in different positions from each other, a time at which the noise generated from the same noise source is incident on each microphone is different from the case where there is no difference in distance from the noise source . Thus, the incidence direction of the noise can be determined from the gap between the microphones and the difference of the noise arrival times in the respective microphones.

Also, the microphone array may be formed in a patch-type structure by being connected to an IC (Integrated Circuit) circuit formed on the substrate.

In addition, step 810 may be a step of measuring the noise level based on the arrival time of the signal data and the signal data, and analyzing the noise direction based on the arrival time and the noise level of the signal data obtained in each of the plurality of microphones.

For example, step 810 may be a step of analyzing the location and noise direction of the noise through the Time Difference of Arrival (TDoA) algorithm based on the arrival time of the signal data sensed in each of the plurality of microphones have.

According to an embodiment, at step 810, TDoA at all measurement angles (360 degrees) can be estimated based on the arrival time of the signal data sensed in a plurality of microphones, thereby analyzing the location and direction of the noise .

In step 820, the type of noise for noise among the plurality of types of noise previously stored in the reference table patterned is estimated.

Step 820 may be to obtain a kind of noise in a patterned reference table using machine learning based on the signal data, the arrival time of the signal data, and the noise level.

For example, the reference table may be a list of patterns that are patterned through a sound classification technique for the top noise types that account for about 95% of the total noise. The sound classification technique may be a technique of extracting characteristics of noise and classifying each noise through a preprocessing process.

Here, the types of upper noise include children's sounds or steps, hammer sounds, appliances (TV, vacuum cleaner, washing machine), furniture sounds (sounds generated by dragging or shooting) (Dogs, cats, etc.), and the sound of water (water, toilet, shower, etc.), exercise equipment (running machine, golf putting, etc.) A kitchen cooking sound, and the like, but the number and kinds of the upper noise types are not limited thereto.

For example, in step 820, the pattern of the upper noise kind is analyzed and based on the list of reference tables, at least one of the signal data, the arrival time of the signal data, the noise level and the noise direction, And analyzing the kind of noise through the analysis.

In step 830, information on noise types for noise is analyzed.

Step 830 may be a step of analyzing and acquiring noise kind through at least one of signal data, arrival time of signal data, noise level and noise direction through machine learning which is a data mining technique.

The operation method of the inter-layer noise measurement system according to the embodiment of the present invention can monitor the inter-layer noise level of each generation based on the noise level, the noise direction and the noise type in step 840.

The apparatus described above may be implemented as a hardware component, a software component, and / or a combination of hardware components and software components. For example, the apparatus and components described in the embodiments may be implemented within a computer system, such as, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable array (FPA) A programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. The processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For ease of understanding, the processing apparatus may be described as being used singly, but those skilled in the art will recognize that the processing apparatus may have a plurality of processing elements and / As shown in FIG. For example, the processing unit may comprise a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as a parallel processor.

The software may include a computer program, code, instructions, or a combination of one or more of the foregoing, and may be configured to configure the processing device to operate as desired or to process it collectively or collectively Device can be commanded. The software and / or data may be in the form of any type of machine, component, physical device, virtual equipment, computer storage media, or device , Or may be permanently or temporarily embodied in a transmitted signal wave. The software may be distributed over a networked computer system and stored or executed in a distributed manner. The software and data may be stored on one or more computer readable recording media.

The method according to an embodiment may be implemented in the form of a program command that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions to be recorded on the medium may be those specially designed and configured for the embodiments or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape, optical media such as CDROMs and DVDs, magnetic optical media such as floppy disks, magnetooptical media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. For example, it is to be understood that the techniques described may be performed in a different order than the described methods, and / or that components of the described systems, structures, devices, circuits, Lt; / RTI > or equivalents, even if it is replaced or replaced.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

10: substrate
20: Apartment or apartment house
311, 312, 313, 314: a microphone
320, 330, 340, 410, 510: Interlayer noise measurement device
400: Interlayer noise measurement system
420, 520: external server
530, 610: Wall pad
620:

Claims (20)

A microphone array including a plurality of microphones arranged on a substrate;
A noise analyzer for analyzing a noise direction with respect to noise using the microphone array and estimating a noise type for the noise among a plurality of types of noise previously stored in a reference table; And
A control unit for transmitting a request to obtain information on a kind of noise of the noise using the communication network when the noise type of the noise is not estimated,
And an interlayer noise measuring device. The method according to claim 1,
The microphone array
And the plurality of microphones arranged in a two-dimensional (Twodimensional) matrix on the substrate. 3. The method of claim 2,
The microphone array
And an IC (Integrated Circuit) circuit formed on the substrate to form a patch-type structure. The method according to claim 1,
The noise analysis unit
Wherein the estimating unit estimates the noise level, noise type, and noise direction of the noise when the predetermined threshold is exceeded using an event detector or a sound level meter algorithm. 5. The method of claim 4,
The noise analysis unit
Wherein the noise level is wakened by signal data obtained in the microphone array and the noise level for the noise is measured using the arrival time of the signal data and the signal data. 6. The method of claim 5,
The noise analysis unit
At least one of a high pass filter and a low pass filter is applied to the signal data to measure a noise level for the noise in the band of 63 Hz to 1 kHz, Characterized in that it comprises: The method according to claim 6,
The noise analysis unit
And analyzing a noise position and a noise direction of the noise through a Time Difference of Arrival (TDoA) algorithm based on the arrival time of the signal data sensed by each of the plurality of microphones. Noise measuring device. 6. The method of claim 5,
The noise analysis unit
And estimating the type of noise for the noise in the reference table patterned through machine learning, which is a data mining technique based on the signal data and the noise level for the noise. . 9. The method of claim 8,
The reference table
Wherein the plurality of learned noise types are previously stored and maintained using machine learning. 9. The method of claim 8,
The control unit
And to transmit the noise level and the signal data to the external server through the communication module when the noise analysis unit fails to estimate the noise type. 11. The method of claim 10,
The control unit
Receiving a noise level for the noise from the external server and a new noise type analyzed through machine learning based on the signal data through the communication module and changing a pattern according to the type of the new noise type in the reference table Or adding or deleting the noise component of the sound signal. The method according to claim 1,
The control unit
If the noise direction and the noise type for the noise are compared with the predetermined layer noise range, if the threshold is exceeded, at least one of the noise direction, noise type, and noise level for the noise is transmitted to the outside To-noise measurement. A microphone array is provided for measuring interlayer noise. The microphone array includes a plurality of microphones arranged on a substrate, analyzes a noise direction of noise, An interlayer noise measurement device for estimating a noise kind for the noise among a plurality of stored noise types; And
If it is unsuccessful to estimate the type of noise for the noise, information on noise type for the noise is analyzed, and an external server
Wherein the inter-layer noise measurement system comprises: 14. The method of claim 13,
The interlayer noise measurement device
The microphone array including the plurality of microphones arranged on the substrate;
A noise analyzer for analyzing a noise direction with respect to the noise using the microphone array and estimating a noise type for the noise among a plurality of types of noise previously stored in the reference table; And
A control unit for transmitting a request to obtain information on a kind of noise of the noise using the communication network when the noise type of the noise is not estimated,
Wherein the inter-layer noise measurement system comprises: 15. The method of claim 14,
The external server
And analyzing a new kind of noise through machine learning by receiving at least one of the signal data, the arrival time of the signal data, and the noise level for the noise from the interlayer noise measurement device. 15. The method of claim 14,
The external server
The interlayer noise measurement system according to any one of claims 1 to 3, wherein the interlayer noise level of each generation is monitored based on a noise level, a noise direction, and a noise type of the noise received from the interlayer noise measurement device. 17. The method of claim 16,
The external server
A wallpad provided in a specific generation for generating noise based on a noise level, a noise direction, and a noise type for the noise, and an interlayer noise measurement system for transmitting noise feedback to a terminal. An operation method of an interlayer noise measurement apparatus for analyzing a noise direction and a kind of noise,
A microphone array for measuring interlayer noise, the microphone array comprising a plurality of microphones arranged on a substrate, the method comprising the steps of: analyzing a noise direction for noise;
Estimating a noise type for the noise among a plurality of types of noise previously stored in a reference table; And
Transmitting a request to obtain information on the type of noise to the noise using the communication network when the noise type for the noise fails to be estimated,
/ RTI > A method of operating an interlayer noise measurement system for monitoring interlayer noise level by analyzing a noise direction and a kind of noise,
A microphone array for measuring interlayer noise, the microphone array comprising a plurality of microphones arranged on a substrate, the method comprising the steps of: analyzing a noise direction for noise;
Estimating a noise type for the noise among a plurality of types of noise previously stored in a reference table; And
Analyzing information on the type of noise with respect to the noise
Lt; RTI ID = 0.0 > 1, < / RTI > 20. The method of claim 19,
Monitoring the interlayer noise level based on the noise direction and noise type for the noise
Further comprising the steps of:

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