KR20190066911A - Apparatus and method of calculating spatial congestion, storage media storing the same - Google Patents

Abstract

The present invention relates to an apparatus for calculating spatial congestion, and to a method thereof. The apparatus for calculating spatial congestion comprises: a channel state information (CSI) detection unit detecting CSI of a radio frequency in a specific space; and a spatial congestion calculation unit calculating congestion of the specific space based on the similarity between at least one pre-learned crowd counting channel state and the channel state information. Accordingly, the apparatus for calculating spatial congestion can calculate the density of people crowded at a specific place through communication between devices.

Description

[0001] APPARATUS AND METHOD OF CALCULATING SPATIAL CONGESTION, STORAGE MEDIA STORING THE SAME [0002] BACKGROUND OF THE INVENTION [0003]

BACKGROUND OF THE INVENTION 1. Field of the Invention [0002] The present invention relates to a space congestion calculation technique, and more particularly, to a space congestion calculation device and method capable of calculating the density of people crowded at a specific place through communication between devices, and a recording medium on which the space congestion is calculated.

The CSI (Channel State Information) based technology is emerging as the communication between WiFi devices increases due to the emergence of smart space. CSI is a concept that first appeared in MIMO antenna system and forms channel state information between wireless communications. In a WiFi network, CSI information can be calculated as a set of subcarriers generated between wireless communications. The main advantage of CSI technology is that it does not need a device or it is device independent.

Korean Patent No. 10-1317529 (Apr. 10, 2014) relates to spatial information feedback in a wireless communication system, the method comprising generating a transmission waveform in the wireless communication unit, the transmission waveform comprising at least one Wherein the at least one directly modulated sequence is a product of at least one transmitted coefficient and a corresponding base sequence, the at least one transmitted coefficient is a first transmission Based on a first channel corresponding to the antenna and a second channel corresponding to the second transmission antenna, and transmitting the transmission waveform from the transceiver of the wireless communication unit.

Korean Patent Laid-Open No. 10-2014-0188457 (Apr. 24, 2014) discloses a method, apparatus, and terminal for predicting crowd congestion. The method includes an access point (AP) Collecting AP status information from the AP device, estimating the crowd congestion in the hot spot based on the collected feature information and the AP status information, and generating the congestion degree information about the predicted crowd congestion To the user terminal.

Korean Patent No. 10-1317529 (Oct. 3, 2013) Korean Patent Publication No. 10-2014-0188457 (Dec. 24, 2014)

An embodiment of the present invention is to provide a space congestion calculating device and method capable of calculating the density of people crowded at a specific place through communication between devices.

An embodiment of the present invention is to provide a space congestion calculation apparatus and method capable of calculating a congestion degree of a specific space based on channel state information obtained through waveform analysis of a radio frequency at at least one detection point.

An embodiment of the present invention is to provide a space congestion calculation apparatus and method capable of calculating a congestion degree of a specific space based on a degree of similarity between a learned crowd count channel state and channel state information.

Among the embodiments, the space congestion calculation device includes a channel state information detector for detecting channel state information (CSI) of a radio frequency in a specific space, and a channel state information detector for detecting at least one learned state of a crowd counting channel And a spatial congestion degree calculating unit for calculating the congestion degree of the specific space based on the degree of similarity between the channel state information.

The channel state information detector may perform a waveform analysis of a radio frequency in a radio communication channel of a specific band at at least one detection time.

The channel state information detector may determine the change time point of the radio frequency as the at least one detection time during the reference time.

The channel state information detector may determine at least one frequency type obtained through the waveform analysis of the radio frequency as the channel state information.

The spatial congestion calculator may calculate a similarity of each of the at least one frequency type indicating the at least one crowd count channel state and the at least one frequency type indicating the channel state information.

The spatial congestion degree calculating unit may calculate the total degree of similarity by summing the degree of similarity between the crowd count frequency type and each of the at least one frequency type to calculate the congestion degree of the specific space.

The spatial congestion degree calculating unit may calculate the congestion degree of the specific space based on the crowd count frequency type and the maximum similarity degree of each of the at least one frequency type.

The space congestion degree calculation device may further include a congestion degree display unit for displaying the congestion degree of the specific space step by step.

The specific space may correspond to an elevator boarding space or a subway boarding space.

Among the embodiments, the method for calculating the spatial congestion includes the steps of (a) detecting channel state information (CSI) of a radio frequency in a specific space, and (b) detecting at least one learned crowd counting channel And calculating the congestion degree of the specific space based on the degree of similarity between the state and the channel state information.

The step (a) may be a step of performing a waveform analysis of a radio frequency in a radio communication channel of a specific band at at least one detection time.

The step (a) may include determining at least one frequency type obtained through the waveform analysis of the radio frequency as the channel state information.

The step (b) may be a step of calculating the similarity of each of the at least one frequency type representing the learned channel state and the at least one frequency type representing the channel state information.

The step (b) may be a step of calculating the total degree of similarity by summing the degree of similarity between the crowd count frequency type and each of the at least one frequency type to calculate the congestion degree of the specific space.

The spatial congestion degree calculating method may further include the step of (c) displaying the congestion degree of the specific space step by step.

Among the embodiments, the computer-executable recording medium includes a process of detecting channel state information (CSI) of a radio frequency in a specific space, and a process of detecting at least one learned crowd counting channel state and a channel state And calculating the congestion degree of the specific space based on the degree of similarity between the information.

The disclosed technique may have the following effects. It is to be understood, however, that the scope of the disclosed technology is not to be construed as limited thereby, as it is not meant to imply that a particular embodiment should include all of the following effects or only the following effects.

The apparatus and method for calculating spatial congestion according to an embodiment of the present invention can calculate the congestion of a specific space based on channel state information obtained through waveform analysis of a radio frequency at at least one detection point.

The apparatus and method for calculating spatial congestion according to an embodiment of the present invention can calculate the congestion of a specific space based on the degree of similarity between the learned crowd count channel state and channel state information.

1 is a view for explaining a spatial congestion degree calculation system according to an embodiment of the present invention.
2 is a block diagram for explaining the spatial congestion degree calculating apparatus shown in Fig.
FIG. 3 is a flowchart illustrating a process of calculating and displaying the spatial congestion of a specific space in the space congestion calculating apparatus of FIG.
FIG. 4 is an exemplary view for explaining an embodiment of displaying the occupant information of an elevator in the space congestion calculation device shown in FIG. 1;

The description of the present invention is merely an example for structural or functional explanation, and the scope of the present invention should not be construed as being limited by the embodiments described in the text. That is, the embodiments are to be construed as being variously embodied and having various forms, so that the scope of the present invention should be understood to include equivalents capable of realizing technical ideas. Also, the purpose or effect of the present invention should not be construed as limiting the scope of the present invention, since it does not mean that a specific embodiment should include all or only such effect.

Meanwhile, the meaning of the terms described in the present application should be understood as follows.

The terms "first "," second ", and the like are intended to distinguish one element from another, and the scope of the right should not be limited by these terms. For example, the first component may be referred to as a second component, and similarly, the second component may also be referred to as a first component.

It is to be understood that when an element is referred to as being "connected" to another element, it may be directly connected to the other element, but there may be other elements in between. On the other hand, when an element is referred to as being "directly connected" to another element, it should be understood that there are no other elements in between. On the other hand, other expressions that describe the relationship between components, such as "between" and "between" or "neighboring to" and "directly adjacent to" should be interpreted as well.

It is to be understood that the singular " include " or "have" are to be construed as including the stated feature, number, step, operation, It is to be understood that the combination is intended to specify that it does not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, or combinations thereof.

In each step, the identification code (e.g., a, b, c, etc.) is used for convenience of explanation, the identification code does not describe the order of each step, Unless otherwise stated, it may occur differently from the stated order. That is, each step may occur in the same order as described, may be performed substantially concurrently, or may be performed in reverse order.

The present invention can be embodied as computer-readable code on a computer-readable recording medium, and the computer-readable recording medium includes all kinds of recording devices for storing data that can be read by a computer system . Examples of the computer-readable recording medium include ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage, and the like. In addition, the computer-readable recording medium may be distributed over network-connected computer systems so that computer readable codes can be stored and executed in a distributed manner.

All terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs, unless otherwise defined. Commonly used predefined terms should be interpreted to be consistent with the meanings in the context of the related art and can not be interpreted as having ideal or overly formal meaning unless explicitly defined in the present application.

CSI (Channel Stats Information) is a concept derived from a Multiple Input Multiple Output (MIMO) antenna system. It is a concept of a wireless communication link indicating the degree of influence of scattering, fading, And may correspond to channel information. Generally, the transmitter can select the data transmission rate optimized for the communication channel by using the CSI information calculated and fed back at the receiver.

MIMO can increase the capacity of wireless communication using multiple antennas in a transceiver, which mainly uses OFDM, which generates subcarriers using multiple carrier frequencies. CSI information can be obtained based on the subcarrier information, and Y (f) can be calculated by the following equation.

[Mathematical Expression]

Y (f) = H (f) X (f)

Here, the transmitted signal X (f) is modulated with the subcarrier index f, and Y (f) may correspond to the received signal. The channel matrix H = X (f), f = 1, ... , k is channel state information, and k is the number of subcarriers.

The CSI information can detect radio wave reflection, diffraction, etc. when an object passes or moves between the transmitter and the receiver. When the communication between the transmitter and the receiver is performed through multiple antennas, the propagation changes of the subcarriers may be different from each other. If there is no object between the two communication transceivers and the wireless communication is performed smoothly, the CSI size can be reduced because there is almost no change in the subcarriers. However, if a person or object is present in the smart space, the subcarrier will experience reflections or diffraction, and the CSI size can be large. By measuring these changes, CSI can be used in device-free applications.

1 is a view for explaining a spatial congestion degree calculation system according to an embodiment of the present invention.

Referring to FIG. 1, the spatial congestion level calculation system 100 may include a user terminal 110, a spatial congestion level calculation device 130, and a database 150. The user terminal 110 may correspond to a computing device that includes a wireless communication function and generates a radio frequency used for calculating spatial congestion, and may be implemented with a smartphone, a notebook computer, or a computer, PC, and the like. The user terminal 110 may be connected to the spatial congestion calculation apparatus 130 through a network and a plurality of user terminals 110 including the user terminals 1 to 110c may be connected to the spatial congestion calculation apparatus 130 130 at the same time.

The user terminal 110 may exist in a specific space that is the object of the congestion calculation and may exist outside the specific space. The user terminal 110 may exist in an area within a specific distance from the boundary of the specific space and may use the wireless signal passing through the specific space to communicate with the spatial congestion calculation device 130 have.

The spatial congestion calculation device 130 may be implemented as a computer or a server corresponding to a program capable of calculating the spatial congestion of a specific space. The spatial congestion calculation device 130 may be wirelessly connected to the user terminal 110 via Bluetooth, WiFi, or the like, and may exchange data with the user terminal 110 through a network.

The space congestion calculation device 130 may be implemented including the database 150 and may be implemented independently of the database 150. [ When implemented independently of the database 150, the spatial congestion calculation device 130 can be connected to the database 150 in a wired or wireless manner to exchange data.

The database 150 is a storage device that stores various information necessary for calculating the space congestion. The database 150 may store channel state information at least at one detection point received from the user terminal 110 and may include at least one crowd to learn before the spatial congestion calculation device 130 performs space congestion calculation The learning information obtained by learning the count channel state and the frequency type can be stored. The database 150 is not necessarily limited to this, and may store information collected or processed in various forms in connection with the calculation of spatial congestion.

The database 150 may include at least one independent sub-database that stores information belonging to a specific range, and at least one independent sub-database may be configured as an integrated database integrated into one. In the case of at least one independent sub-database, each of the sub-databases may be wirelessly connected via Bluetooth, WiFi, or the like and may exchange data with each other via the network. The database 150 may include a control unit that integrates each of the sub-databases into one unit and manages data exchange and control flow between the sub-databases.

2 is a block diagram for explaining the spatial congestion degree calculating apparatus shown in Fig.

2, the spatial congestion degree calculation apparatus 130 may include a channel state information detection unit 210, a spatial congestion degree calculation unit 230, a congestion level display unit 250, and a control unit 270.

The channel state information detector 210 can detect channel state information (CSI) of a radio frequency in a specific space. In one embodiment, the channel state information detector 210 may perform a waveform analysis of a radio frequency in a radio communication channel of a specific band at at least one detection time. More specifically, the channel state information detector 210 can receive a plurality of radio frequencies existing in a radio communication channel of a specific band at a specific detection time. The channel state information detection unit 210 may generate at least one waveform as channel state information at a corresponding detection time point using a plurality of radio frequencies.

In one embodiment, the channel state information detector 210 may receive a radio frequency at a specific detection time including a time interval of a specific length. One detection point may correspond to a specific time point, and may correspond to a specific time period including a predetermined time period based on a specific point in time. For example, the channel state information detector 210 may receive a radio frequency at a detection time of 11 o'clock, and may include a time interval of 5 seconds before and after 11 o'clock, 00 < / RTI > 05 < RTI ID = 0.0 > seconds, < / RTI >

In one embodiment, the channel state information detector 210 may determine the change time point of the radio frequency for at least one detection time during the reference time. The channel state information detector 210 may reflect a change in a specific space in the channel state information by determining a change time point as a detection time point when a change in radio frequency is detected during a reference time.

In one embodiment, the channel state information detector 210 may determine a time point when the radio frequency is changed over a threshold reference value for a reference time as a detection time point. More specifically, the channel state information detector 210 can determine the time point as a detection point only when the difference between the previous radio frequency and the current frequency is equal to or greater than a specific reference, even when there is a variation in the radio frequency.

In one embodiment, the channel state information detector 210 may determine at least one frequency type obtained through the waveform analysis of the radio frequency as channel state information. The channel state information detection unit 210 may generate at least one waveform as channel state information at a specific detection point and may correct each waveform or compare each waveform with the learning information stored in the database 150 The most similar waveform can be determined. The channel state information detection unit 210 can determine each of the corrected waveform or the most similar waveform as a frequency type and determine the frequency type as the channel state information at the detection time point.

In one embodiment, the channel state information detector 210 may generate waveforms at specific detection points and may compare waveforms with learning information stored in the database 150 to extract waveforms having a certain degree of similarity or more, Frequency types may be determined as channel state information at the corresponding detection time.

The spatial congestion calculator 230 may calculate the congestion of a specific space based on the degree of similarity between at least one crowd counting channel state and channel state information that have been learned. The spatial congestion calculating unit 230 can calculate the congestion degree of a specific space at a specific time point using the learning information stored in the database 150. [ The learning information stored in the database 150 includes information on (a) specific space, (b) congestion information of the space, (c) viewpoint information associated with the congestion information of the space, the crowd count channel state information, Information and crowd count waveform information.

In one embodiment, the spatial congestion calculator 230 may calculate the degree of similarity of each of the at least one frequency type indicating the at least one crowd count channel state and the channel state information indicating the learned at least one crowd count channel state. Here, the degree of similarity may have a higher value as the frequency type representing the crowd count frequency type and the channel state information are similar.

In one embodiment, the spatial congestion calculator 230 may calculate the overall degree of similarity by summing the similarity of each of the at least one frequency type and the crowd count frequency type, thereby calculating the congestion degree of the specific space. The spatial congestion calculator 230 may calculate the similarity of each of the frequency type of the crowd count stored in the database 150 and each of at least one frequency type and may calculate the total similarity of the corresponding detection time have. The spatial congestion calculator 230 can determine the crowd count frequency type associated with the highest overall similarity based on the total similarity and determine the spatial congestion stored in the database 150 in association with the corresponding crowd count frequency type It can be calculated as the spatial congestion at the time.

In one embodiment, the spatial congestion calculator 230 may calculate the congestion of a specific space through the maximum similarity of each of the at least one frequency type and the crowd count frequency type. Here, the maximum similarity may correspond to the highest similarity among the crowd count frequency type and the similarity of each of the at least one frequency type. The spatial congestion calculator 230 may determine the maximum similarity between the crowd count frequency type and at least one frequency type as the total similarity of the detected time point. The spatial congestion calculator 230 can determine the crowd count frequency type associated with the highest overall similarity based on the total similarity and determine the spatial congestion stored in the database 150 in association with the corresponding crowd count frequency type It can be calculated as the spatial congestion at the time.

The congestion display unit 250 can display the congestion level of the specific space step by step. More specifically, the congestion display unit 250 may display different colors depending on the congestion of a specific space, or may display different ranges of the display area, but the present invention is not limited thereto, and various types of displays Method can be used.

Here, the congestion level can be expressed by a predetermined congestion level according to a certain criterion or a congestion score converted into a number within a certain range. For example, congestion can be expressed as a congestion level such as 'very congested', 'congested', 'normal', 'Hansan' and 'very hansan', and when the specific space is full, the congestion is 100, It can be expressed as a congestion score obtained by digitizing the congestion level to zero.

In one embodiment, the congestion display unit 250 can calculate the number of persons present in a specific space by using the congestion information of the specific space. The congestion display unit 250 can calculate the number of persons present in the space based on the congestion degree of the space based on static information such as the area or the volume of the specific space. The congestion level display unit 250 can calculate and display the range of the number of people expected to exist in a specific space according to the degree of congestion.

In one embodiment, the congestion display unit 250 can retrieve the congestion degree information stored in the database 150 based on the congestion degree information of the specific space, extract the number of persons associated with the most similar congestion degree information, Can be determined as the current number of people in the space.

In one embodiment, the congestion display unit 250 can display the congestion level of the elevator boarding space or the subway boarding space in a phased manner. More specifically, the congestion display unit 250 can display the congestion level step by step by using a method of displaying the number of passengers or boarding passengers for each floor with respect to the elevator boarding space. The congestion display unit 250 can provide the degree of congestion to each station of each carriage at the next station for each sub carriage of the subway. For example, the congestion display unit 250 can provide congestion for each carriage by using an LED that is red when the subway car is congested, yellow when it is not, and green when it is not congested.

The control unit 270 controls the overall operation of the spatial congestion degree calculation apparatus 130 and controls the flow of data and the control flow between the channel state information detection unit 210, the spatial congestion degree calculation unit 230 and the congestion degree display unit 250 have.

FIG. 3 is a flowchart illustrating a process of calculating and displaying the spatial congestion of a specific space in the space congestion calculating apparatus of FIG.

Referring to FIG. 3, the spatial congestion calculation unit 130 may detect a channel information state of a radio frequency in a specific space through the channel state information detection unit 210 (step S310). The channel state information detector 210 may perform a waveform analysis of a radio frequency in a wireless communication channel of a specific band at at least one detection time. The channel state information detector 210 may determine the change time point of the radio frequency as at least one detection time during the reference time. The channel state information detection unit 210 may determine at least one frequency type obtained through the waveform analysis of the radio frequency as channel state information.

The spatial congestion calculation unit 130 may calculate the congestion degree of the specific space based on the degree of similarity between the at least one crowd count channel state and the channel state information learned through the spatial congestion degree calculation unit 230 (step S330). The spatial congestion calculator 230 may calculate the similarity of each of the at least one frequency type indicating the at least one crowd count channel state and the channel state information indicating the learned state of the at least one crowd count channel state. The spatial congestion calculator 230 may calculate the overall degree of similarity by summing the similarity of each of the at least one frequency type and the crowd count frequency type to calculate the congestion degree of the specific space. The spatial congestion calculator 230 may calculate the congestion of a specific space based on the crowd count frequency type and the maximum similarity of each of the at least one frequency type.

The spatial congestion degree calculation device 130 can display the congestion degree of a specific space step by step through the congestion degree display part 250 (step S350). The congestion display unit 250 can display the congestion level of the elevator boarding space or the subway boarding space in a step-by-step manner.

FIG. 4 is an exemplary view for explaining an embodiment of displaying the occupant information of an elevator in the space congestion calculation device shown in FIG. 1;

Referring to FIG. 4, the spatial congestion calculation device 130 may display the current number of passengers and the number of passengers on the elevator through the congestion display unit 410. The congestion display unit 410 may indicate to the 6th floor waiting person that the elevator has boarded 8 people on the 7th floor, 4 people on the 8th floor, and 6 people on the 9th floor.

It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit or scope of the present invention as defined by the following claims It can be understood that

100: Space Congestion Calculation System
110: user terminal 130: space congestion calculation device
150: Database
210: Channel state information detection unit 220: Space congestion degree calculation unit
250: Congestion level display unit 270:
410: Congestion indicator

Claims (16)

A channel state information detector for detecting channel state information (CSI) of a radio frequency within a specific space; And
And a spatial congestion degree calculation unit for calculating a degree of congestion of the specific space on the basis of the degree of similarity between at least one of the learned crowd counting channel state and the channel state information.
The apparatus of claim 1, wherein the channel state information detector
And performs waveform analysis of a radio frequency in a radio communication channel of a specific band at at least one detection time.
3. The apparatus of claim 2, wherein the channel state information detector
Wherein the control unit determines the change time point of the radio frequency as the at least one detection time point during the reference time.
3. The apparatus of claim 2, wherein the channel state information detector
And determines at least one frequency type obtained through the waveform analysis of the radio frequency as the channel state information.
The apparatus of claim 1, wherein the spatial congestion degree calculator
And calculates a similarity of each of the at least one frequency type indicating the at least one group coefficient channel state and the channel state information indicating the learned at least one frequency coefficient channel type.
6. The apparatus of claim 5, wherein the spatial congestion calculator
Wherein the degree of congestion of the specific space is calculated by calculating the total degree of similarity by summing the degree of similarity between the crowd count frequency type and each of the at least one frequency type.
6. The apparatus of claim 5, wherein the spatial congestion calculator
Wherein the congestion degree calculating unit calculates the congestion degree of the specific space based on the crowd count frequency type and the maximum similarity degree of each of the at least one frequency type.
The method according to claim 1,
And a congestion degree display unit for displaying the congestion degree of the specific space step by step.
8. The method of claim 7,
An elevator boarding space or a subway boarding space.
A method for calculating a space congestion degree performed by a space congestion degree calculating apparatus,
(a) detecting channel state information (CSI) of a radio frequency within a specific space; And
(b) calculating the congestion level of the specific space based on the degree of similarity between at least one crowd counting channel state and the channel state information.
11. The method of claim 10, wherein step (a)
And performing a waveform analysis of a radio frequency in a radio communication channel of a specific band at at least one detection time.
12. The method of claim 11, wherein step (a)
And determining at least one frequency type obtained through waveform analysis of the radio frequency as the channel state information.
11. The method of claim 10, wherein step (b)
Wherein the step of calculating the space congestion degree comprises calculating a similarity of each of the at least one frequency coefficient type indicating the at least one crowd count channel state and the at least one frequency type indicating the channel state information.
14. The method of claim 13, wherein step (b)
And calculating the total degree of similarity by summing the degree of similarity of each of the at least one frequency type and the crowd count frequency type to calculate the congestion degree of the specific space.
11. The method of claim 10,
(c) displaying the congestion level of the specific space in a stepwise manner.
A computer-executable recording medium for recording a spatial congestion degree calculation method performed in a spatial congestion degree calculation apparatus,
Detecting channel state information (CSI) of a radio frequency within a specific space; And
And calculating a congestion degree of the specific space on the basis of the degree of similarity between at least one of the learned crowd counting channel state and the channel state information.

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