KR101612335B1 - Indoor noise searching method in silence facilities - Google Patents

Abstract

To construct a system at low cost, the present invention relates to an indoor noise searching method in silence facilities using mobile devices where an application for measuring noises is installed. After the mobile devices in the same indoor space of the silence facilities are grouped, sound signals according to positions detected by the mobile devices according to the generation of the noises are correlated to search the position of a noise source.

Description

{INDOOR NOISE SEARCHING METHOD IN SILENCE FACILITIES}

The present invention relates to a method of searching for a noise source in a room of a warming facility using a plurality of mobile devices equipped with a noise measurement application.

Schools, academies, libraries, reading rooms, and hospitals are facilities that are used by many people, but should be managed as a quiet facility with a room to keep the room quiet.

In order to manage as a constant temperature facility, a noise measurement device should be installed in a room to maintain a constant temperature condition so that the location of the noise source can be searched. However, since the noise measuring apparatus is generally expensive, it is difficult to use the apparatus indoors at all times because of economic difficulties.

In order to overcome such difficulties, Japanese Laid-Open Patent Application No. 10-2002-0005803 discloses a technique for downloading a noise measurement program via the Internet and measuring it with a personal computer. In addition, Japanese Laid-Open Patent Application No. 10-2015-0130176 discloses a system for detecting interlayer noise using a user terminal such as a smart phone, a tablet, and a PDA. According to the present invention, the acoustic source obtained by the microphones equipped in the personal computer and the user terminal is appropriately calibrated according to the sound acquisition characteristics of the microphone, and the noise level is measured by the calibrated acoustic source. there was.

However, the above-described prior art is merely used as a substitute for a noise measurement device, and is not enough to be utilized as a noise source position search means required in an actual temperature control facility. In addition, there is a lack of grounds for noise generation, which makes it difficult to utilize it for active noise suppression.

KR 10-2002-0005803 A 2002.01.18. KR 10-2015-0130176 A 2015.11.23.

The object of the present invention is to provide a method of searching for indoor noise in a warming room, which is capable of building a system for searching for indoor noise at a low cost and providing ground data for noise generation as objective and reliable data.

In order to accomplish the above object, the present invention provides a method for searching for indoor noise source locations of a warming facility by collecting noise detection information detected by a plurality of mobile devices installed with a noise detection application in a central server, A grouping step of grouping a plurality of mobile devices according to an initial position of the mobile device in each of the buildings and rooms in the central server; A sound source of a noise inputted through a microphone is buffered in a buffer allocated to a memory in a mobile device, and an acoustic source of a predetermined interval before and after a point of time when a noise level exceeds a preset reference value is extracted from a buffer, A noise detection step of transmitting to the central server noise detection information, the extracted sound source, the acquisition time of the noise exceeding the reference value, and the position of the mobile device as noise detection information; And a location searching step of collecting noise detection information from the central server and correlating the acoustic sources according to the locations to search for the location of the noise source based on the sound pressure fluctuation according to the distance to the noise source.

Wherein the initial position in the grouping step comprises a building position by the geo-location acquiring unit and a room position input by the user of the mobile device, the position being included in the noise detection information in the noise- And the position is corrected with respect to the initial position by reflecting movement detected by the equipped motion detection sensor.

In the noise detection step, the noise level is calculated by calibrating the sound acquisition characteristics of the microphone according to the model of the mobile device, and performing the sound gain obtained by the microphone on the sound source in accordance with the noise level measurement rule, .

The position searching step performs frequency-weighted and time-weighted hearing correction according to the calibration and noise measurement rules of the microphone acquisition characteristics of the microphone corresponding to the model information of the mobile device, And acquires the noise source position based on the difference of the noise detection time or the sound pressure difference of the position.

Wherein the noise detection step includes the inclination of the mobile device detected by the motion detection sensor equipped in the mobile device and the orientation of the mobile device sensed by the compass equipped in the mobile device in the noise detection information, Based on the data obtained by converting the sound pressure variation value corresponding to the difference between the direction of the microphone and the direction of the noise source into a database, the direction of the microphone toward the microphone and the direction of the sound source The noise source position is calculated by correlation analysis after correcting with an acoustic source obtainable under the condition that the difference between the directions is the same.

The position searching step temporarily calculates the noise source position from the acoustic signal according to the position, then corrects the sound signal according to the tilt and the orientation of the mobile device according to the temporarily calculated noise source position, As a final noise source position.

The location searching step excludes the noise detection information corresponding to the location of the noise detection information to be transmitted when departing from the room group grouped according to the initial location, from the estimation of the noise source location, and applies the estimation to the noise source location when re- .

As described above, according to the present invention, the user's mobile devices in the room are grouped by room to detect noises. Therefore, even if the noise measurement device is not fixedly installed in the room, the indoor noise can be detected, Therefore, it is possible to construct the system at low cost.

In addition, the present invention corrects the acoustic source according to the posture of the mobile device, so that the location of the noise source can be more accurately searched.

In addition, the present invention can be utilized effectively in the management of the warming facility by providing reliable evidence for proving the noise generation.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a block diagram of a system for implementing a method for searching for indoor noise in a warming room according to an embodiment of the present invention; FIG.
Fig. 2 is a block diagram of the mobile device 10 shown in Fig. 1. Fig.
3 is a flowchart of a method for searching for indoor noise in a warming room according to an embodiment of the present invention.
FIG. 4 is a flowchart showing the operation of the central server 20 with reference to FIG.
5 is a use state diagram of the system shown in Fig.
6 is a diagram for explaining a search method of a location of a noise source.
7 is a view for explaining a method of correcting an acoustic signal according to a posture of the mobile device 10. [

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings.

FIG. 1 is a block diagram of a system for a method for searching a room-warming room indoor noise according to an embodiment of the present invention, and FIG. 2 is a block diagram of the mobile device 10 shown in FIG.

Referring to FIGS. 1 and 2, a system for searching a room-based indoor noise is connected to a plurality of mobile devices 10 installed with an application for detecting noise, each mobile device 10 executing applications, A central server 20 for grouping the mobile devices 10 according to locations and for searching for indoor noise source locations according to noise detection information and a manager for receiving a noise source location detected by the central server 20, And a terminal 30.

The mobile device 10 includes a microphone 12 for converting a sound wave propagated into the air into an electrical acoustic signal, as well as a sound signal A memory 13 for storing data, a geographical location acquiring means 14 for acquiring the geographical position of the mobile device 10, a speaker (not shown) for outputting the sound of the mobile device 10 as sound waves in the air, A camera 16 for acquiring the photographed image, a compass 17 for sensing the orientation in the posture taken by the mobile device 10, a communication module 18 for connecting to the communication network, A user interface (UI) (not shown), for example, a touch screen, etc., and performs a call function and a data communication function through a communication network utilizing the resources provided, (Not shown) a microprocessor to perform the functions implemented in the application at the time of running the applications installed to be able to install the application is also provided.

As is well known, the geo-location acquiring means 14 is a component that acquires a geographical location via GPS, WiFi, or a network base station, and the motion-sensing sensor 15 is a component that acquires the movement of the mobile device with an acceleration sensor or gyroscope And the compass 17 is usually provided with a geodetic sensor or a mobile device as a direction for expressing a direction connecting between an upper end with a speaker and a lower end with a microphone on the basis of a geomagnetic field (or a rotation axis) And is functionally equipped with a compass application utilizing the resources.

An application 11 programmed for noise measurement is executed by a microprocessor to control resources of the mobile device 10 and perform a noise detection operation. .

The mobile device 10 configured as described above may be one in which a person is using a mobile communication terminal but may be fixedly installed in a room of a temperature control facility to measure noise by using a so- good.

Accordingly, the plurality of mobile devices 10 may be movable or fixed in the room, or may be a mobile device having the application 11 installed therein.

The application 11 installed in each of the plurality of mobile devices 10 is stored in the memory 13 as a program and is provided with a setting step S3 to set the type information of the mobile device 10 An initialization step (S10) of notifying the central server (20) of a position at a time when the mobile device (10) is executed when the mobile device (10) is executed after performing a procedure of registering with the central server (20) And a noise detection step S20 for detecting noise inputted through the microphone and transmitting the noise detection information to the central server 20 after step S10.

The central server 20 includes a collecting unit 21 for collecting information to be registered, notified or transmitted by a plurality of mobile devices 10 and accepting a registration request transmitted from the administrator terminal 30, A grouping unit 22 for grouping a plurality of mobile devices 10 in accordance with an initial position notified according to an initialization operation of the application 11 in each building and a room in a building, A search unit 23 for searching a noise source location for each building in each building based on the information, a storage unit 24 for databaseization, and a manager terminal 30 used by the building or room manager And a notifying unit 25 for notifying the user of the notification.

The central server 20 configured as described above includes a basic data storage step S1 'for converting the basic data (electronic map, microphone correction information, auditory correction information, posture correction information) into a database, After performing the warming-up facility registration step S2 'for registering the manager terminal 30 for each building or room by database for each building and room according to the warming-up facility registration request, (S3 ') for transferring the mobile device model to a database in accordance with the setting step S3 from the mobile device 10 and receiving an initial position according to the initializing operation S10 of the mobile device 10 A grouping step S10 'for grouping the mobile devices 10 according to locations and rooms registered in advance according to their locations and specifying the model characteristics of the mobile devices is performed. After the grouping, the mobile station 10 analyzes the noise detection information transmitted according to the detection step S20 of each mobile device 10 to search a noise source position for each building and room, And a notification step S30 'of notifying the administrator terminal 30 of the room manager that the user is in charge.

The manager terminal 30 is a terminal used by a room manager of a constant temperature facility, and may be provided for each room, or may be provided for each building when a plurality of rooms in a building are integrally managed. The manager terminal 30 is an apparatus for receiving information notified from the central server 20 and notifying the manager of the information or an alarm means corresponding to the noise source position in a reading room provided with an alarm means on each desk Device.

A method for searching for a room-temperature indoor noise by the system configured as described above will be described with reference to FIGS. 3 and 4. FIG.

3 is a flowchart illustrating an operation of a mobile device 10 according to an embodiment of the present invention.

FIG. 4 is a flowchart showing the operation of the central server 20 according to an embodiment of the present invention.

3 and 4, the method for searching the interior of the warming room includes a basic data storage step S1 ', a warming facility registration step S2', a device registration step S3 and S3 ', a device grouping step S10 and S10' , A noise detection step S20, a position search step S20 ', and a notification step S30'.

The basic data storage step S1 'includes an electronic map in which geographical information necessary for grouping a plurality of mobile devices 10 is digitally informed, calibration information of a microphone 12 for each type of mobile device 10, And the posture correction information for correcting the difference between the sound signals appearing in accordance with the difference between the direction of the microphone 12 and the direction of the noise source in the mobile device 10 is stored in the storage unit 24 to be.

Here, the microphone calibration information may include variations in the acoustic signals acquired due to different types and manufacturers of the microphones 11, depending on the model of the mobile device 10, and the microphone 11 of the mobile device 10 may perform a voice call So that it is possible to correct the sensitivity, thereby eliminating deviations of the mobile device 10 and making it suitable for noise measurement.

For example, an authenticated noise meter is placed in an anechoic chamber together with a mobile device, and a reference sound is generated in an anechoic chamber to generate calibration information according to the difference between the acoustic signal obtained inside the noise meter and the acoustic signal obtained from the microphone of the mobile device .

Therefore, even if the acoustic signals are acquired from the mobile devices 10 of different models, the acoustic signals are calibrated with the microphone calibration information corresponding to the respective models, so that the deviation between the acoustic signals acquired by the mobile devices 10 of different models Can be minimized.

In order to measure the noise level, the auditory correction information is expressed by frequency weighting the auditory sense of the human body according to the frequency correction characteristic, and it is possible to follow the noise measurement method prescribed in the domestic [Noise and Vibration Process Test Standard] , And time weighting.

The posture correction information is information for correcting to be converted into an acoustic signal to be acquired in a specific reference direction even if the direction of the microphone 12 in the mobile device 10 is changed.

The acoustic signal acquired through the microphone 12 is different if the sound-receiving center direction of the microphone 12 is changed according to the posture of the mobile device 10 when noise generated in the noise source is transmitted to the mobile device 10 through the air . Especially, the sound pressure is different.

Therefore, in a situation where the direction of the microphone 12 is unknown and the direction in which the microphone 12 is directed is unknown, the acoustic signal acquired by the microphone 12 is used as the attitude correction information And corrects it with an acoustic signal that can be obtained when the sound-pickup center direction of the microphone 12 becomes a specific direction (for example, a direction toward the noise source).

For example, in a state in which the noise source position is fixed, a difference between an acoustic signal obtained by changing the direction of the microphone 12 and an acoustic signal obtained by matching the direction of the microphone 12 with the noise source direction The posture correction information can be obtained. The posture correction information is classified according to the model of the mobile device 10.

That is, the sound pressure variation value according to the difference between the direction in which the microphone is directed and the noise source direction is classified by the model of the mobile device and is databaseed to determine the direction of the microphone from the tilt and orientation of the mobile device, An acoustic signal can be obtained.

The step of registering the warming-up facility (S2 ') is a step of storing the information about the warming-up facility to receive the indoor noise detection service into the storage unit (24) for each building and room.

To this end, the central server 20 receives the isothermal facility information including the building geographical position of the constant temperature facility, the map layout of the building in the building, and the connection information of the manager terminal 30 to be notified to the collecting unit 21, And stores it in the storage unit 24 for each facility / building / room.

Therefore, it is possible to display the room inside the building on the electronic map and display the location of the room in the electronic map with respect to the cooling room to receive the indoor noise detection service. That is, the registered room is displayed on the electronic map to determine whether or not the room is out of the room movement information of the mobile device in the room, and the location of the mobile device in the room can also be specified.

The device registration step S3 and S3 'transmits the model information of the mobile device 10 according to the setting step S3 of the application 11 in the mobile device 10 having the application 11 for the noise detection operation At the time of registration request, the central server 20 accepts the request and stores the model of the mobile device in the storage unit 24 (S3 ').

In addition, the microphone calibration information and the auditory sense correction information corresponding to the model of the mobile device are retrieved from the storage unit 24 and transmitted to the mobile device 10 so that the sound source is calibrated in the mobile device 10 And corrects the noise level.

In addition, the model of the mobile device registered here enables the sound source to be calibrated and corrected according to the model in the central server 20, and the posture correction can be performed in accordance with the model.

By performing the device grouping steps S10 and S10 ', the noise detection step S20, the location searching step S20' and the notification step S30 'using the mobile device 10 registered with the model as described above, Locate the location.

The device grouping step S10 and S10 'is a step of grouping a plurality of mobile devices 10 executing the application 11 according to buildings and rooms registered in advance, (S10) and a grouping step S10 'in the central server 20.

The initialization step S10 acquires the initial position at the time when the application 11 is executed by using the geographical position acquisition means 14 and then notifies the initial position to the central server 20, And allocating the area.

However, since the geographical location acquiring means 14 provided in the mobile device 10 can not accurately obtain the position in the room, the initial location is determined by the geographical location by the geographical location acquiring means 14, Room location input by the user of the user.

For example, a building having a geographical location obtained by the geographical location acquiring means 14 is displayed on a map, and a screen on which an input box is created is displayed on one side, thereby inputting a room and a room position in the displayed building. In the case of a room-inside position, a correct current position on the building plan may be designated by tapping.

The buffer allocated to the memory 13 is a storage space for obtaining sound signals before and after the noise occurs, and the sound source to be acquired in real time is stored for a preset time.

According to the standard of the noise level specified in the Noise and Vibration Control Law, the equivalent noise level (Leq) for one minute, the equivalent noise level (Leq) for 5 minutes and the maximum noise level (Lmax) are measured. At least three minutes before and after the sound source are required. Referring to this, the buffer allows the acoustic source to be buffered for at least three minutes at the longest 5 minutes of noise detection time plus a preset time.

The grouping step S 10 'collects an initial position notified from the mobile device 10 at the central server 20 at the collecting part 21 and the grouping part 22 collects the mobile device 20 at the initial position (S10 '). Here, the grouping is performed by grouping according to the geographical location of the initial location, by each building in which the mobile device 20 is located,

As described above, the mobile devices 10 are notified of the initial position from the plurality of mobile devices 10, and the mobile devices 10 are grouped by building and room, whereby a system in which a plurality of mobile devices as the noise detection means are provided in the same room of the same building is constructed .

Thus, the operation succeeding to the noise detection step S20, the position search step S20 ', and the notification step S30', which will be described later, becomes possible.

The noise detection step S20 is an operation to repeat until the application 11 is stopped after the initialization step S10 of the device grouping step S10 and S10 'in the mobile device 10, A sound source is obtained by analyzing an acoustic source and is buffered in a buffer of the memory 16 to acquire the noise level in real time, A monitoring operation S21 for correcting the current position is performed by acquiring the movement of the sound source 10 in real time and when a time point at which the noise level exceeds the preset reference value Lth is detected during the monitoring operation S21, And transmits the noise detection information to the central server 20 (S23).

Here, the noise level obtained in real time is the noise level obtained after calibrating and correcting the acoustic signal according to the microphone calibration information and the hearing correction information transmitted in the device registration step (S3 '). The noise level is one minute equivalent noise level (Leq) (Leq) and maximum noise level (Lmax).

The correction of the current position is performed in accordance with the movement of the mobile device 10 acquired using the motion detection sensor 15 with respect to the initial position notified to the central server 20 in the initialization step. Since the motion detection sensor 15 obtains the direction of movement, the acceleration component, or the velocity component with respect to the motion of the mobile device 10, the motion information obtained at this time is reflected in real time to correct the current position. The movement direction can also be obtained by using the compass 17.

The predetermined reference value Lth, which is a standard of noise detection, is set to be relatively lower than a noise criterion in the central server 20, so that noise detection information is generated and transmitted even if a noise level is detected lower than the noise criterion.

The noise detection information includes at least one of a noise level exceeding a reference value, an acoustic source of a predetermined section extracted from the buffer around a reference value exceeding point, an acquisition time of the noise exceeding the reference value, a current position of the mobile device at a time point exceeding the reference value, The attitude of the mobile device including the inclination of the mobile device sensed by the sensor and the orientation of the mobile device sensed by the compass, and the image photographed by the camera 16 for a predetermined period from the point of time when the reference value is exceeded.

The acoustic source extracted from the buffer includes an acoustic source having a preset time interval before the threshold value is exceeded and a predetermined time interval after the threshold value. In actual operation, the time interval after the reference value exceeding the reference value may be an acoustic source to be acquired for a predetermined time interval thereafter when the over-noise level occurs. Here, the preset time interval generally requires 3 minutes, but it is preferable to set 5 minutes or 6 minutes, for example, in order to secure sufficient data.

The acoustic source included in the noise detection information is an original sound that has not been subjected to microphone calibration and auditory correction, that is, an acoustic source acquired through a microphone.

Since the photographed image is more likely to invade privacy, the encryption key is issued, the photographed image is encrypted using the encryption key, and the encrypted image is included in the noise detection information, so that the noise detection information can be restored using the encryption key. The encryption key to be issued here is stored in the memory 13 together with the history of generation of the noise detection information and the acquired noise exceeding the reference value in the mobile device 10 without transmitting the encryption key to the central server 20, The user can browse the photographed image with the permission of the user of the mobile device 10.

Incorporating the photographed image into the noise detection information and storing the photographed image in the mobile device 10 may be made optional by the user of the mobile device 10. [

These images can be used as background data for the indoor environment when the noise is detected, that is, as a basis for the noise measurement environment.

The location searching step S20 'compares the noise detection information transmitted from the mobile device 10 with the collection unit 21 and compares the collected noise detection information with the information obtained by grouping the mobile devices according to buildings and rooms The noise source position is searched by the unit 23.

The location searching step S20 'will be described in more detail with reference to FIG. 5 to FIG.

First, only the noise detection information transmitted from the mobile device in the same room based on the position of the mobile device 10 transmitting the noise detection information is selected (S21 '). Here, the reason for selection is to exclude the corresponding mobile device when the mobile device 10 deviates from the corresponding room by moving after grouping by room in the device grouping step (S10, S10 '), And detects the noise source position using only the mobile device that transmitted the noise detection information. It will be used to search for the source location of the re-entering mobile device.

Through the sorting process as described above, it is possible to group only the noise detection information transmitted from the mobile device 10 in the room in correspondence with the corresponding room, as shown in FIG. 5, when a noise is generated by the noise source S in the room, a plurality of mobile devices 10, which are close to the noise source S and detect noise above a reference value among the plurality of mobile devices 10 in the room, Will generate and transmit noise detection information.

Only the noise detection information transmitted from the mobile device in the room is selected (S21 '). Next, the sound acquisition characteristics of the microphone corresponding to the model information of the mobile device for the sound sources for the respective positions included in the selected noise detection information Weighting and time-weighted hearing correction is performed (S22 ') in accordance with the calibration and noise measurement rules for the frequency.

Next, the acoustic source according to the calibrated and calibrated positions is correlated and analyzed to temporarily estimate the position of the sound source (S23 ').

Referring to FIG. 6, when noises generated by the noise source S are detected by the mobile devices 10-1, 10-2, and 10-3 at different positions, Through the correlation analysis, it is possible to obtain the difference in sound detection time by position or sound pressure difference by position. Therefore, the noise source position can be calculated using the distances D1 and D2 between the mobile devices according to the positions of the respective mobile devices 10-1, 10-2, and 10-3.

As an example of the correlation analysis, cross correlation of the acoustic sources according to the positions generates noise with the same noise source as the peak component showing correlation, and the difference in the noise detection time can be obtained by the position on the time axis where the peak component occurs.

However, depending on the propagation speed of the noise, the generation time of the acoustic time according to the position may be different. Therefore, when correlation analysis is performed by cross correlation, the cross correlation signals are generated at the same time regardless of the generation time, so that the cross correlation signals are generated simultaneously without time lag. In other words, if there is a difference between the start time and the end time of the sound signal of the digital data with reference to the noise acquisition time exceeding the reference value included in the noise detection information, a value of '0' The cross-correlation is obtained by making the start point and the end point equal to each other. As a time difference at this time, the difference in distance (? 1,? 2) from the noise source can be obtained.

As another method, since noises are detected by different sound pressures (Req-1, Req-2, Req-3) depending on the distances R1, R2, and R3 to the noise source S, have.

The noise source position can be estimated using the distance differences (? 1,? 2) between the distances (D1, D2) between the mobile devices and the noise source.

At this time, in order to estimate the accurate noise source position, it is necessary to obtain an acoustic signal from at least three mobile devices. When two acoustic sources are obtained by two mobile devices, the noise source position obtained by the distance difference forms a trajectory represented by a line. Therefore, correlation analysis is performed on the acoustic signals obtained by three or more mobile devices, and at least two trajectories cross The point can be selected as the noise source position.

However, since the built-in clock of the mobile device 10 realizes a time difference between the mobile devices 10 even if the mobile device 10 synchronizes with the base station, the difference in the noise detection time and the difference in the sound pressure difference The method of adopting the difference in distance obtained by the difference in sound pressure and sound pressure between locations can be considered.

After obtaining the temporary noise source position in this way, the sound signal is attenuated in accordance with the position of the temporary noise source (S24 ').

7, the direction in which the microphone 12 of the mobile device 10 faces can not be aligned with the direction of the noise source because noise is not generated in any direction. Noises generated in the noise sources S1, S2, and S3 at different positions spaced apart by the same radius R as the microphone 12 are detected as different sound pressures Leq-1, Leq-2, and Leq-3 will be.

Accordingly, in the present invention, the tilt and orientation of the mobile device included in the noise detection information are applied to perform posture correction (S24 ').

At this time, the posture correction calculates the direction of the microphone based on the inclination and the azimuth of the mobile device for each mobile device that transmitted the noise detection information, and then calculates the direction of the microphone based on the difference between the direction of the microphone toward the microphone and the direction of the noise source Based on the data obtained by converting the values into a database, an acoustic source for each position collected from a plurality of mobile devices is corrected to an acoustic source capable of acquiring the same attitude. Here, the same attitude means that the difference between the direction of the microphone toward the microphone and the direction of the noise source is the same for each mobile device. Preferably, the direction is the same as the direction of the noise source and the direction of the microphone.

In this case, the noise source direction is estimated to be an approximate value for the attitude correction though it is not accurate because the noise source direction is estimated as an acoustic signal for each position before attitude correction.

Next, the noise source position is secondarily calculated by applying an acoustic signal for each posture-corrected position (S25 '). At this time, the method of calculating the location of the noise source is the same as the method of calculating the location of the noise source.

Of course, if the posture correction and the calculation of the position of the noise source are performed again, a more accurate noise source position can finally be obtained. That is, as the series of processes of posture correction and position estimation are repeated, a more accurate noise source position can be obtained.

Next, it is determined whether noise is to be determined (S26 '). That is, the noise level at the noise source position is calculated, and the noise level is determined when the predetermined noise criterion is exceeded. Since the position of the noise source is calculated, the noise level of the noise source position can be estimated from the noise level detected by the mobile device by applying the phenomenon that the sound pressure decreases as the distance from the noise source increases. Of course, it is also good to obtain the noise level of the noise source position by a distance correction to the noise level per position obtained from the acoustic signal according to the position, and then average.

In this case, the noise level can be defined as the equivalent noise level (Leq) for 1 minute, the equivalent noise level (Leq) for 5 minutes and the maximum noise level (Lmax), and the maximum noise level is cumulatively counted to calculate the maximum occurrence frequency It may be determined that noise is generated when a predetermined number of times or more has occurred.

At this time, if it is determined as noise, the notification step S30 'is performed.

The notification step S30 'is a step of notifying the manager of the room where the noise exceeding the noise criteria is generated or the manager terminal 30 stored in correspondence with the manager of the building to which the room belongs. Of course, the position of the mobile device that transmitted the noise detection information used for calculating the noise source position and the noise source position, as well as the location of the noise source, may be notified together.

The noise source location, the noise level of the noise source location, and the noise detection information transmitted from the mobile device are classified into buildings and rooms, and stored in the storage unit 24. The history notified to the administrator terminal 30 is converted into a database.

Accordingly, the manager using the manager terminal 30 can know the location of the noise source, take measures for noise suppression, calmly and quietly manage the room, and provide clear evidence of noise generation to the central server 20, .

5, the administrator terminal 30 is provided at the entrance of the room, and the manager is guided to execute the application of the mobile device carried on the person entering the room, and if possible, In order to obtain the noise source position accurately, it is preferable to uniformly provide the mobile device in the room, so that it is not necessary to rely on the mobile device being used as the mobile communication means, It is good to utilize as much as possible the end of the satin which can be used uniformly.

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, . ≪ / RTI > Accordingly, such modifications are deemed to be within the scope of the present invention, and the scope of the present invention should be determined by the following claims.

10: Mobile devices
11: application 12: microphone
13: memory 14: geo-location acquisition means
15: Motion detection sensor 16: Camera
17: Compass 18: Communication module
20: Central server
21: collecting section 22: grouping section
23: search section 24: storage section
25: Notification section
30: administrator terminal

Claims (7)

1. A method for searching for indoor noise sources in a cooling facility by collecting noise detection information detected by a plurality of mobile devices installed with a noise detection application at a central server,
A grouping step of grouping a plurality of mobile devices according to an initial position of the mobile device in each of the buildings and rooms in the central server;
A sound source of a noise inputted through a microphone is buffered in a buffer allocated to a memory in a mobile device, and an acoustic source of a predetermined interval before and after a point of time when a noise level exceeds a preset reference value is extracted from a buffer, A noise detection step of transmitting to the central server noise detection information, the extracted sound source, the acquisition time of the noise exceeding the reference value, and the position of the mobile device as noise detection information;
A location searching step of collecting noise detection information from the central server and correlating the acoustic sources according to the locations to search for the location of the noise source based on the sound pressure fluctuation according to the distance to the noise source;
Wherein the noise is detected by the noise detector. The method according to claim 1,
In the grouping step, the initial position is
A building location by the geo-location acquisition means provided in the mobile device, and a location in the room that the user of the mobile device inputs,
In the noise detection step, the position included in the noise detection information is
Wherein the positional correction is performed with respect to an initial position in accordance with movement detected by a motion detection sensor equipped in the mobile device. 3. The method of claim 2,
In the noise detection step,
The sound acquisition characteristic of the microphone according to the model of the mobile device is acquired and the sound acquired by the microphone is acquired after performing the acoustic weighting with the weighting and time weighting according to the noise measurement rule for the acoustic source A method for detecting indoor noise in a facility. The method of claim 3,
The location searching step
According to the calibration and noise measurement regulations of the microphone acquisition characteristics of the microphone corresponding to the model information of the mobile device, the frequency weighting and time weighted hearing correction are performed for each acoustic source according to the positional relationship, , Or acquiring a noise source position based on a difference in detected sound pressure differences between positions. The method according to claim 1,
The noise detection step includes the inclination of the mobile device sensed by the motion detection sensor equipped in the mobile device and the orientation of the mobile device sensed by the compass equipped in the mobile device in the noise detection information,
The position searching step calculates the direction of the microphone toward each mobile device on the basis of the tilt and the bearing, and based on the data obtained by converting the sound pressure fluctuation value according to the difference between the direction of the microphone and the direction of the noise source, Wherein the acoustic source is calibrated with an acoustic source obtainable under the condition that the difference between the direction of the microphone and the direction of the noise source is the same, and then the noise source position is calculated by correlation analysis. 6. The method of claim 5,
The position searching step temporarily calculates the noise source position from the acoustic signal according to the position, then corrects the acoustic signal according to the tilt and the orientation of the mobile device according to the temporarily calculated noise source position, Wherein the location of the noise source estimated from the noise source location is a final noise source location. The method according to claim 1,
The location searching step
The noise detection information corresponding to the position of the noise detection information to be transmitted when departing from the room group grouped according to the initial position is excluded from the calculation of the noise source position, and the noise detection information is applied to the estimation of the noise source position when re- A Method for Detecting Interior Noise in a Calorific Facility.

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