JP7327644B2 - Congestion estimation system, mobile terminal, and program - Google Patents

Description

The present disclosure relates to a congestion estimation system, a server device, a mobile terminal, and a program.

Patent Literature 1 discloses an example of a system that includes an analyzer. The analysis device analyzes the occurrence of traffic congestion and the like based on the concealed position information of the moving body. In this system, the origin or destination of the location information is made anonymous by deleting part of the route information of the moving body.

Japanese Patent Application Laid-Open No. 2014-109946

However, in the system of Patent Literature 1, the location information of the user who moves with the mobile object is anonymized after being collected in the location information storage device. For this reason, when the anonymization process of the system is applied to the location information acquired by the mobile terminal owned by the user, the user who does not trust the location information storage device will feel resistance to providing the location information. Sometimes.

The present disclosure relates to solving such problems. The present disclosure provides a congestion estimation system, a server device, a mobile terminal, and a program that can alleviate user resistance to providing location information used for estimating congestion.

A congestion estimation system according to the present disclosure includes a plurality of mobile terminals possessed by each user, and a server device. and true position information that is the position information acquired by the position information acquisition unit at at least one of a plurality of preset times, or acquired by the position information acquisition unit a transmitting unit that selects one of the position information obtained and the false position information that is different position information based on a preset probability and transmits the selected position information to the server device, wherein the server device is provided with the plurality of mobile terminals A receiver that receives the position information transmitted by each; a statistical processor that statistically processes the position information received by the receiver; and a congestion estimating unit.

A mobile terminal according to the present disclosure includes a position information acquisition unit that acquires position information of its own position in a preset target area; True position information that is the position information acquired by the position information acquisition unit, or a position that is different from the position information acquired by the position information acquisition unit and a transmitting unit that selects and transmits one of information, such as false location information, based on a preset probability.

A program according to the present disclosure includes a position information acquisition step of acquiring position information of a self position in a preset target area; True position information that is the position information acquired in the position information acquisition step, or position information that is different from the position information acquired in the position information acquisition step a transmitting step of selecting and transmitting one of the false position information, which is the position information, based on a preset probability.

With the congestion estimation system, server device, mobile terminal, and program according to the present disclosure, it is possible to alleviate user resistance to providing location information used for estimating congestion conditions.

1 is a configuration diagram of a building system according to Embodiment 1; FIG. 4 is a diagram showing an example of a target area for congestion estimation according to Embodiment 1; FIG. 4 is a flow chart showing an example of the operation of the mobile terminal according to Embodiment 1; 4 is a sequence diagram showing an example of operation of the congestion estimation system according to Embodiment 1; FIG. 2 is a hardware configuration diagram of main parts of the building system according to Embodiment 1. FIG.

DETAILED DESCRIPTION OF THE INVENTION Embodiments for implementing the present disclosure will be described with reference to the accompanying drawings. In each figure, the same or corresponding parts are denoted by the same reference numerals, and overlapping descriptions are appropriately simplified or omitted.

Embodiment 1.
FIG. 1 is a configuration diagram of a building system according to Embodiment 1. FIG.

A building system 1 is applied to a building. In this example, the building has multiple floors. A building system 1 includes an air conditioner 2 . The air conditioner 2 is a device for air conditioning in a building. A building system 1 includes an elevator 3 . The elevator 3 is, for example, an elevator or a passenger conveyor. An elevator is a device that transports passengers by a car that runs vertically between floors of a building. A passenger conveyor may be an inclined escalator that transports passengers diagonally between floors of a building, or a horizontal escalator that transports passengers horizontally in a building. The building system 1 has a congestion estimation system 4 .

The congestion estimation system 4 is a system for estimating congestion in a target area of a building to which the building system 1 is applied. The target area is, for example, an area inside a building. The region of interest includes, for example, an elevator hall. The area of interest includes, for example, the entrance/exit of the passenger conveyor. The area of interest may include areas outside the building, such as the perimeter of the building. The congestion state is estimated for a preset target period. The period of interest is a period of time, such as, for example, minutes or hours. The congestion state estimation may be performed repeatedly for a plurality of consecutive target periods. The target period in which the congestion state is estimated includes a plurality of preset times. In this example, the target period for which the congestion state is estimated includes T times, where T is a natural number. The T time points are, for example, evenly spaced time points. A congestion estimation system 4 includes a plurality of mobile terminals 5 and a server device 6 .

Each mobile terminal 5 is possessed by a user of the building system 1 . The mobile terminal 5 is, for example, a portable information terminal. The mobile terminal 5 is, for example, a smartphone owned by the user. Alternatively, the mobile terminal 5 may be a wireless tag or the like provided to the user by an administrator of the building system 1 or the like. The operation of each mobile terminal 5 is executed, for example, based on an installed program. The program for operating the mobile terminal 5 owned by the user is, for example, a program installed in the mobile terminal 5 by the user as an application program. The application program may have functions such as providing information on services in the building. Alternatively, the program for operating the mobile terminal 5 provided to the user by the administrator of the building system 1 or the like is, for example, a program pre-installed in the mobile terminal 5 . In this example, N mobile terminals 5 are possessed by N users, where N is a natural number. The mobile terminal 5 includes a location information acquisition section 7 , a probability calculation section 8 and a transmission section 9 .

The location information acquisition unit 7 is a part that acquires location information of the mobile terminal 5's own location. The self-location of the mobile terminal 5 is associated with the self-location of the user who owns the mobile terminal 5 . The positional information is, for example, three-dimensional coordinates representing the position. Alternatively, the location information may be information representing floors of the building and a two-dimensional coordinate set representing locations on the floors, or other data representation. The position information acquisition unit 7 may acquire the position information of its own position by a satellite navigation system such as GPS (Global Positioning System). Alternatively, the position information acquisition unit 7 may acquire position information of its own position by an indoor positioning system applied to buildings. Alternatively, the position information acquisition unit 7 may acquire the position information of its own position by autonomous navigation such as PDR (Pedestrian Dead Reckoning). The position information acquisition unit 7 may acquire the position information of its own position by direct or indirect measurement, estimation, reception of information, or a combination thereof.

The probability calculation unit 8 is a part that performs calculations used for the operation of the mobile terminal 5 based on the probability. The probability calculator 8 has a function of generating random numbers such as pseudo-random numbers or physical random numbers.

The transmission unit 9 is a part that transmits the location information of the mobile terminal 5 to the server device 6 . The transmission unit 9 connects to the server device 6 via, for example, a LAN (Local Area Network) in a building so as to transmit the position information. Alternatively, the transmission unit 9 may be connected to the server device 6 via an external network such as the Internet. The transmission unit 9 transmits the position information to the server at each time included in the target period.

The server device 6 is a device that performs information processing in estimating congestion in a target area of a building to which the building system 1 is applied. The server device 6 is provided, for example, in a building to which the building system 1 is applied. Alternatively, the server device 6 may be provided in another building to which the building system 1 is applied. The server device 6 is, for example, a server computer. The operation of the server device 6 is executed, for example, based on installed programs. The server device 6 includes a receiver 10 , a statistical processor 11 , a congestion estimator 12 , a storage 13 and a report generator 14 .

The receiving unit 10 is a part that receives position information transmitted from each mobile terminal 5 . The location information received by the receiving unit 10 includes location information transmitted from the n-th mobile terminal 5 at the t-th time. Here, t is a natural number of T or less, and n is a natural number of N or less. That is, tε{1,2,...,T}, nε{1,2,...,N}. At this time, the receiving unit 10 can receive N×T pieces of position information in the target period.

The statistical processing unit 11 is a part that statistically processes a plurality of pieces of position information received by the receiving unit 10 from each mobile terminal 5 . The statistical processing unit 11 performs statistical processing to obtain the actual congestion status as information for the entire target area even when information representing a situation different from the actual situation is included in some of the plurality of position information. The reflected information can be output as a processing result.

The congestion estimation unit 12 is a part that estimates the congestion status in the target area based on the results of statistical processing by the statistical processing unit 11 . The congestion state estimated by the congestion state estimation unit is, for example, the distribution of the degree of congestion at each time included in the estimation target period. The degree of congestion is a value representing the degree of congestion such as density of users.

The storage unit 13 is a part that accumulates and stores congestion conditions estimated by the congestion estimation unit 12 . When the congestion status is estimated in a plurality of target periods, the storage unit 13 stores the congestion status for each target period.

The report generator 14 is a part that generates a report reporting the congestion status of the target area. The report is generated for, for example, the manager or owner of the building to which the building system 1 is applied. The report generation unit 14 generates a report, for example, based on the congestion state estimation results accumulated and stored in the storage unit 13 .

Next, with reference to FIG. 2, an example of a target area whose congestion state is estimated will be described.
FIG. 2 is a diagram showing an example of a target area for congestion estimation according to the first embodiment.

In this example, the target area is a rectangular parallelepiped spatial area S containing a building inside. A region of interest is divided into a plurality of sub-regions. In the building system 1, each subregion that divides the target region is identified, for example, by numbering. The region of interest in this example is divided vertically by floor. In this example, each small area is a rectangular parallelepiped spatial area of equal volume that divides each floor into a square lattice. In this example, the m-th subregion is the spatial region s _m . Here, m is a natural number equal to or smaller than M. That is, mε{1,2,...,M}.

When the target area is divided into a plurality of small areas, the position information transmitted by the transmission unit 9 of the mobile terminal 5 is represented by presence/absence information, for example. The presence/absence information is, for example, M-dimensional data in which each component is a binary {0, 1}. In the presence/absence information of any mobile terminal 5, the m-th component represents the presence/absence of the mobile terminal 5 in the small area _sm . That is, when the m-th component of the presence/absence information of the n-th mobile terminal 5 is "0", it means that the n-th mobile terminal 5 is not in the small area _sm . Also, when the m-th component of the presence/absence information of the n-th mobile terminal 5 is "1", it indicates that the n-th mobile terminal 5 is located in the small area _sm . Also ^, the presence/absence information of the mobile terminal 5 in the position included in the small area _s2 is the second is represented as presence/absence information in which only the component of is "1". When the position information acquisition unit 7 temporarily acquires position information as another data representation of the presence/absence information, the position information may be converted into data representation by the presence/absence information in the position information acquisition unit 7. good.

Next, with reference to FIG. 3, an example of processing for transmitting position information by the mobile terminal 5 will be described.
3 is a flowchart illustrating an example of the operation of the mobile terminal according to Embodiment 1. FIG.

First, settings performed in advance in the mobile terminal 5 for the transmission process will be described.

A positive parameter ε is preset in the mobile terminal 5 . In general, when position information provided by users is statistically processed to analyze congestion conditions, etc., there is a trade-off relationship between the privacy of users and the accuracy of analysis results. The parameter ε is a value representing how strongly the user's privacy is protected. The smaller the value of the parameter ε, the stronger the user's privacy can be protected. The larger the value of the parameter ε, the more accurate the congestion situation estimation can be. The parameter ε is preset considering the balance between the user's privacy and the accuracy of the analysis results. The parameter ε is set to one common value in the congestion estimation system 4, for example. At this time, the parameter ε may be notified from the server device 6 to each mobile terminal 5, for example.

In the portable terminal 5, I information providing times are selected from T times. I is a natural number equal to or smaller than T. The information provision time is randomly selected. For example, the probability calculator 8 may select the information provision time based on a generated random number. Of the T times, TI times not selected as information providing times are dummy transmission times. Selection of the information provision time and the dummy transmission time is individually performed in each portable terminal 5 . The number I of information provision times is set to one common value in the congestion estimation system 4, for example. At this time, the number I of information providing times may be notified to each mobile terminal 5 from the server device 6, for example.

Under such settings, each mobile terminal 5 performs transmission processing at each of T times as follows.

At the t-th time, as the operation of step S1, the transmission unit 9 determines whether the time is the information providing time. When the t-th time is the information provision time, the operation of the mobile terminal 5 proceeds to step S2. On the other hand, if the t-th time is the dummy transmission time, the operation of the mobile terminal 5 proceeds to step S6.

In step S2, the transmitter 9 selects whether to transmit true position information or to transmit false position information based on a preset probability. Here, the true positional information is the positional information acquired by the positional information acquiring section 7 . The fake location information is location information different from the location information acquired by the location information acquiring unit 7 . The probability of sending true or false location information is set based on the parameter ε. The probability P of transmitting true position information and the probability Q of transmitting false position information are obtained by the probability calculator 8 or the like based on, for example, equation (1). where e ^(·) is an exponential function.

・・・・・・（１）

(1)

The probability calculator 8 generates random numbers. Based on the random number generated by the probability calculator 8 and the probability P and the probability Q, the transmitter 9 selects whether to transmit true position information or false position information. If the transmission unit 9 selects to transmit the true location information in step S2, the operation of the mobile terminal 5 proceeds to step S3. On the other hand, when the transmission unit 9 selects to transmit false position information in step S2, the operation of the mobile terminal 5 proceeds to step S4.

In step S<b>3 , the transmission unit 9 transmits presence/absence information representing true position information to the server device 6 . When the position information acquired by the position information acquiring unit 7 of the n-th mobile terminal 5 at the t-th time is included in the small area s _m , the true position from the n-th mobile terminal 5 at the t-th time The information is sent as presence/absence information with only the mth component being "1". After that, the operation of the mobile terminal 5 proceeds to step S1 for the next time.

In step S4, the transmitter 9 sets false position information. The setting of fake location information is performed, for example, as follows. If the location information acquired by the location information acquisition unit 7 of the n-th mobile terminal 5 at the t-th time is included in the small area s _m , the transmission unit 9 sets the m-th component of the presence/absence information to “0 ”. The transmitting unit 9 selects one of the components of the presence/absence information other than the m-th component with an equal probability. At this time, the transmission unit 9 may perform selection based on random numbers generated by the probability calculation unit 8 . The transmission unit 9 sets only one selected component of the presence/absence information to "1". The transmitting unit 9 sets all other components of the presence/absence information to "0". After that, the operation of the mobile terminal 5 proceeds to step S5.

In step S<b>5 , the transmission unit 9 transmits presence/absence information representing the set false position information to the server device 6 . After that, the operation of the mobile terminal 5 proceeds to step S1 for the next time.

In step S6, the transmitter 9 sets dummy position information. Here, dummy position information is position information that does not depend on the position information acquired by the position information acquisition unit 7 . Dummy position information is set, for example, as follows. The transmitting unit 9 selects any one component of the presence/absence information with an equal probability. At this time, the transmission unit 9 does not exclude the component corresponding to the small area including the position information acquired by the position information acquisition unit 7 from the selection. The transmission unit 9 may perform selection based on random numbers generated by the probability calculation unit 8 . The transmission unit 9 sets only one selected component of the presence/absence information to "1". The transmitting unit 9 sets all other components of the presence/absence information to "0". The transmission unit 9 transmits the dummy position information set in this way to the server device 6 . After that, the operation of the mobile terminal 5 proceeds to step S1 for the next time.

After completing the transmission process for the T-th time in the target period, the mobile terminal 5 may perform the transmission process for the first time in the next target period.

Next, an example of operation of the congestion estimation system 4 will be described using FIG.
4 is a sequence diagram showing an example of the operation of the congestion estimation system according to Embodiment 1. FIG.

Each portable terminal 5 executes transmission processing at a preset time. In the transmission process, location information is transmitted as shown in FIG. Here, the location information transmitted in the transmission process is either true location information, false location information, or dummy location information. In this example, each mobile terminal 5 transmits true location information and false location information in the same format. Also, each mobile terminal 5 transmits true location information, false location information, or dummy location information in the same data representation format. That is, in the server device 6 that receives the location information, true location information, false location information, and dummy location information cannot be deterministically distinguished from each other. Also, each mobile terminal 5 may transmit the location information anonymously.

The receiving unit 10 of the server device 6 receives the location information from each mobile terminal 5 . The statistical processing unit 11 statistically processes a plurality of pieces of position information collected by the receiving unit 10, for example, as follows.

In general, the congestion degree distribution of the target area is expressed by Equation (2), for example, where K ^t _m is the number of users who have mobile terminals 5 and are in the m-th small area at time t. Note that l ^t _n,m represents the m-th component of the presence/absence information representing the true location information of the n-th mobile terminal 5 at time t. Φ ₀ is a function that outputs the number of users K ^t _m .

・・・・・・（２）

(2)

On the other hand, the receiving unit 10 receives presence/absence information in a state in which true position information, false position information, and dummy position information are mixed. Therefore, the statistical processing unit 11 calculates the unbiased estimator of the number of users K ^t _m by Equation (3). Here, the unbiased estimator is represented by a hat on the symbol. Note that L ^t _n,m represents the m-th component of the presence/absence information received from the n-th portable terminal 5 at time t. Φ is an aggregation function that outputs an unbiased estimator of the number of users K ^t _m . The probability p represents the probability that L ^t _n,m =1 when the n-th mobile terminal 5 is in the m-th small area at time t. The probability q represents the probability that L ^t _n,m =1 when the n-th mobile terminal 5 is not in the m-th small area at time t. The probability p and the probability q are calculated in advance based on, for example, the parameter ε, the division number M of the region, the number T of times for transmitting position information, and the number I of dummy transmission times.

・・・・・・（３）

(3)

The statistical processing by the statistical processing unit 11 is, for example, the calculation of such an unbiased estimator. Alternatively, the statistical processing unit 11 may calculate, as a result of the statistical processing, the total value of presence/absence information for each time and each small area for each mobile terminal 5, for example.

The congestion estimating unit 12 estimates the congestion status based on the result of statistical processing by the statistical processing unit 11 . The congestion estimation unit 12 estimates, for example, a congestion degree distribution as the congestion status. The congestion estimation unit 12 estimates the congestion degree distribution based on, for example, the unbiased estimator of the number of users K ^t _m . Alternatively, the congestion estimating unit 12 may detect, from a plurality of small regions, a congested region in which the degree of congestion exceeds a preset threshold during the target period. Alternatively, the congestion estimating unit 12 may detect congestion times when the degree of congestion exceeds a preset threshold in any of the small areas from a plurality of times included in the target period. The congestion estimation unit 12 may detect the congestion location or congestion time based on the estimated congestion degree distribution, for example.

The congestion estimation unit 12 outputs the estimated congestion situation to the storage unit 13 . The storage unit 13 accumulates and stores congestion conditions input from the congestion estimation unit 12 .

The congestion estimation unit 12 outputs the estimated congestion situation to the air conditioner 2 . The air conditioner 2 air-conditions the target area, for example, as follows, based on the input congestion situation. The air conditioner 2 operates, for example, to lower the temperature or humidity in a congested area or an area where congestion is expected. Alternatively, when the temperature is low, the air conditioner 2 may be operated so as to raise the temperature in a congested area or an area expected to be congested. In addition, in a period of low humidity, the air conditioner 2 may be operated so as to increase the humidity in a congested area or an area expected to be congested.

The congestion estimation unit 12 outputs the estimated congestion status to the elevator or elevator allocation control device. The elevator assignment control device is, for example, a group management device that performs elevator call assignment control. The elevator performs operation control as follows, for example, based on the input congestion status. Alternatively, the elevator allocation control device controls the operation of the elevators as follows, for example, based on the input congestion status. An elevator performs operation control so that operation efficiency can be improved based on congestion conditions, for example. Elevators may be operationally controlled such that, for example, more cars are dispatched to floors that contain busy areas or areas that are expected to be crowded. The congestion estimation unit 12 outputs the estimated congestion status to the passenger conveyor. The passenger conveyor performs operation control as follows, for example, based on the input congestion status. For example, in a passenger conveyor with an aisle, when congestion occurs or is expected to occur on one side of the entrance/exit, the passenger conveyor is operated so that the entrance/exit side becomes the boarding side. may

The report generation unit 14 generates a report based on the estimation result of the congestion state accumulated and stored in the storage unit 13 . The period covered by the report is, for example, a period including one or more periods covered by the estimation of the congestion state. The report generating unit 14 may start generating a report, for example, when an operation is performed by a maintenance person, manager, owner, or the like of the building system 1 .

As explained above, the congestion estimation system 4 according to Embodiment 1 includes a plurality of mobile terminals 5 and the server device 6 . Each mobile terminal 5 is owned by the user of the mobile terminal 5 . Each mobile terminal 5 includes a location information acquisition section 7 and a transmission section 9 . The position information acquisition unit 7 acquires position information of the self position in a preset target area. At least one of a plurality of preset times, the transmitting unit 9 selects either true position information or false position information based on a preset probability, and transmits the information to the server device 6. Send. The true positional information is the positional information acquired by the positional information acquisition unit 7 . The fake location information is location information different from the location information acquired by the location information acquiring unit 7 . The server device 6 includes a receiving section 10 , a statistical processing section 11 and a congestion estimating section 12 . The receiving unit 10 receives position information transmitted from each of the plurality of mobile terminals 5 . The statistical processing unit 11 statistically processes the position information received by the receiving unit 10 . The congestion estimation unit 12 estimates the congestion status of the target area based on the result of statistical processing by the statistical processing unit 11 .
Further, the program according to Embodiment 1 causes the mobile terminal 5 to execute a position information acquisition step and a transmission step. The position information obtaining step is a step of obtaining position information of the self position in a preset target area. In the transmitting step, at least one of a plurality of preset times, either true location information or false location information is selected based on a preset probability and transmitted to the server device 6. It is a step to

The location information used for estimating the congestion state is probabilistically transmitted as true or false location information from the mobile terminal 5 possessed by the user. Therefore, the server device 6 cannot deterministically reproduce the location information of each user. As a result, even users who wish to protect their own privacy can ease their reluctance to provide location information used for estimating congestion. Further, in the server device 6, a plurality of pieces of location information transmitted from the mobile terminals 5 of a plurality of users are statistically processed. Therefore, even if multiple pieces of location information transmitted from the mobile terminals 5 of individual users may contain false location information, information about all users, such as congestion conditions, is statistically significant. calculated as the amount

In addition, the transmission unit 9 transmits presence/absence information to the server device 6 as position information. The presence/absence information is information representing the presence/absence of each of a plurality of small areas that divide the target area.
Also, the transmission step is a step of transmitting presence/absence information to the server device 6 as position information.

Since each component of the presence/absence information is binary, false position information can be easily generated from true position information. The presence/absence information does not require relationship information such as distances or paths between small regions corresponding to each component. Therefore, regardless of the presence or absence of the internal structure of the building such as walls, pillars, or fittings, it becomes easy to set the position information and reverse the truth of the position information.

In addition, the transmission unit 9 regards the presence/absence information indicating that the small area including the self-position among the plurality of small areas is in the small area as the true position information. The transmission unit 9 regards any one of the plurality of small areas that does not include the self-position as false position information, which is presence/absence information indicating that it is in that small area. The transmission unit 9 selects either the true location information or the false location information and transmits it to the server device 6 .
Further, in the transmission step, presence/absence information indicating that the small area including the self-location among the plurality of small areas is in the small area is regarded as true position information. In the transmission step, the presence/absence information indicating that one of the plurality of small areas that does not include the self-position is in that small area is treated as false position information. The transmission step is a step of selecting either true location information or false location information and transmitting it to the server device 6 .

Regardless of whether the position information is true or false, there is only one presence/absence information component that is "1" indicating that the mobile terminal 5 is present. Therefore, the types of false position information transmitted to the server device 6 are suppressed. As a result, a decrease in the accuracy of congestion state estimation due to a trade-off with protection of user's privacy can be suppressed.

Further, the transmission unit 9 selects the true position information with the probability P that satisfies the formula (1) when ε is a preset positive parameter, and transmits the true position information to the server device 6 .
Further, the transmission step is a step of selecting true position information with a probability P that satisfies the formula (1) when ε is a preset positive parameter, and transmitting it to the server device 6.

This allows for a balance between the user's privacy and the accuracy of the congestion situation estimation through the setting of the parameter ε.

Further, the transmission unit 9 transmits dummy position information to the server device 6 at one of a plurality of preset times. The dummy position information is information that does not depend on the position information acquired by the position information acquisition unit 7 .
Also, the transmission step is a step of transmitting dummy position information to the server device 6 at one of a plurality of preset times. The dummy position information is information that does not depend on the position information acquired in the position information acquisition step.

Dummy location information does not reflect the user's location information. Since the true location information and the fake location information are hidden in the dummy location information and transmitted, the user's privacy is more strongly protected.

The server device 6 also includes a storage unit 13 and a report generation unit 14 . The storage unit 13 accumulates and stores the congestion situations estimated by the congestion estimation unit 12 . A report generation unit 14 generates a report based on the congestion status accumulated in the storage unit 13 .

This makes it easier for the manager or owner of the building to grasp the usage status of the building, the traffic status, and the like. In addition, for example, when the building is a commercial facility, etc., it becomes easier to quantitatively grasp the status of popularity among tenants. Therefore, administrators and the like can operate the building more efficiently.

The congestion estimation unit 12 also outputs the estimated congestion status to the air conditioner 2 . The air conditioner 2 air-conditions the target area based on the congestion status of the target area.
The congestion estimation unit 12 also outputs the estimated congestion status to the elevators 3 provided in the target area. The elevator 3 performs operation control based on the congestion status of the target area.

By performing air conditioning according to the congestion situation of the building, users can spend more comfortable time in the building. In addition, by controlling the operation of the elevator 3 according to the congestion situation of the building, users can move more comfortably in the building. Note that the congestion estimation unit 12 may output the estimated congestion status to other building equipment.

Note that the target area may be an area obtained by combining a plurality of polyhedrons such as a cube, a rectangular parallelepiped, a polygonal prism, or a regular polyhedron. The region of interest may be a three-dimensional region with curved boundaries. The regions of interest may be either convex or concave regions. The region of interest may be a region with holes.

Also, the plurality of small areas may not divide the target area for each floor. For example, when a building has a structure such as an atrium or a mezzanine, the plurality of small regions may divide the target region according to, for example, the floor structure of the building.

Also, the plurality of small areas may be obtained by dividing each floor into an orthorhombic lattice or a triangular lattice. Each subregion may have a different shape from each other. Each subregion may have a different volume. Each subregion may be a region with curved boundaries.

Also, the ratio between the number of information transmission times and the number of dummy transmission times may be set, for example, so that the error between the amount representing the congestion situation and the unbiased estimator of that amount is small. The error with the unbiased estimator may be a probabilistic upper bound evaluated based on probability theory, for example.

Further, the location information transmitted from the mobile terminal 5 to the server device 6 may be, for example, presence/absence information that allows the value "1" for 0 or a plurality of components. The location information transmitted from the mobile terminal 5 to the server device 6 may be other data representations of presence/absence information. The location information transmitted from the mobile terminal 5 to the server device 6 may be the number of the small area containing the self-location. At this time, the false location information may be the number of any one small area that does not include the self-location. Also, the dummy position information may be the number of any one small area that is randomly selected.

Also, the server device 6 may be configured by, for example, a single piece of hardware. Alternatively, the server device 6 may be composed of multiple pieces of hardware. A part or all of the server device 6 may be a virtual server configured by a cloud service or the like.

Next, an example of the hardware configuration of the main part of the building system 1 will be described with reference to FIG.
FIG. 5 is a hardware configuration diagram of main parts of the building system according to the first embodiment.

Each function of the building system 1 can be implemented by a processing circuit. The processing circuitry comprises at least one processor 200a and at least one memory 200b. The processing circuitry may comprise at least one piece of dedicated hardware 100, along with or in place of processor 200a and memory 200b.

When the processing circuit includes the processor 200a and the memory 200b, each function of the building system 1 is realized by software, firmware, or a combination of software and firmware. At least one of software and firmware is written as a program. The program is stored in memory 200b. The processor 200a realizes each function of the building system 1 by reading and executing the programs stored in the memory 200b.

The processor 200a is also called a CPU (Central Processing Unit), a processing device, an arithmetic device, a microprocessor, a microcomputer, or a DSP. The memory 200b is composed of, for example, nonvolatile or volatile semiconductor memory such as RAM, ROM, flash memory, EPROM, and EEPROM.

Where the processing circuitry comprises dedicated hardware 100, the processing circuitry may be implemented, for example, in single circuits, multiple circuits, programmed processors, parallel programmed processors, ASICs, FPGAs, or combinations thereof.

Each function of the building system 1 can be implemented by a processing circuit. Alternatively, each function of the building system 1 can be collectively realized by a processing circuit. A part of each function of the building system 1 may be realized by dedicated hardware 100 and the other part may be realized by software or firmware. Thus, the processing circuit implements each function of the building system 1 with dedicated hardware 100, software, firmware, or a combination thereof.

The congestion estimation system according to the present disclosure can be applied to estimate the congestion status of buildings. A mobile terminal and a server device according to the present disclosure can be applied to the congestion estimation system. A program according to the present disclosure can be applied to the mobile terminal.

1 building system 2 air conditioner 3 elevator 4 congestion estimation system 5 mobile terminal 6 server device 7 location information acquisition unit 8 probability calculation unit 9 transmission unit 10 reception unit 11 statistical processing unit 12 congestion Estimation unit 13 Storage unit 14 Report generation unit 100 Dedicated hardware 200a Processor 200b Memory

Claims (14)

a plurality of mobile terminals possessed by each user;
a server device;
with
Each of the plurality of mobile terminals,
a position information acquisition unit that acquires position information of the self-position in a preset target area;
True location information that is the location information acquired by the location information acquisition unit, or location information different from the location information acquired by the location information acquisition unit at at least one of a plurality of preset times a transmission unit that selects one of the fake location information based on a preset probability and transmits it to the server device;
with
The server device
a receiving unit that receives location information transmitted by each of the plurality of mobile terminals;
a statistical processing unit that statistically processes the position information received by the receiving unit;
a congestion estimation unit that estimates the congestion status of the target area based on the result of statistical processing by the statistical processing unit;
A congestion estimation system. The server device
a storage unit that accumulates and stores the congestion situation estimated by the congestion estimation unit;
a report generation unit that generates a report based on the congestion situation accumulated by the storage unit;
The congestion estimation system according to claim 1, comprising: The congestion estimation system according to claim 1 or 2, wherein the congestion estimation unit outputs the estimated congestion situation to an air conditioner that air-conditions the target area based on the congestion situation of the target area. The congestion estimation unit performs operation control of elevators provided in the target area based on the congestion status of the target area, or performs operation control of the elevators provided in the target area based on the congestion status of the target area. 4. The congestion estimation system according to any one of claims 1 to 3, wherein the estimated congestion status is output to an elevator allocation control device. a position information acquisition unit that acquires position information of the self-position in a preset target area;
At least one of a plurality of preset times, the location information acquisition unit acquires the location information acquisition unit in a server device that estimates the congestion status of the target area based on the results of statistical processing of the collected location information. Transmission that selects and transmits either true location information that is location information or false location information that is location information different from the location information acquired by the location information acquisition unit based on a preset probability. Department and
A mobile terminal with The transmission unit transmits presence/absence information representing the presence/absence of each of a plurality of small areas obtained by dividing the target area to the server device as position information.
The portable terminal according to claim 5 . The transmitting unit regards presence/absence information indicating that a small area including the self-location among the plurality of small areas is in the small area as true location information, and determines any one of the plurality of small areas that does not include the self-location as true location information. Presence/absence information indicating that one small area exists in the small area is used as false position information, and either true position information or false position information is selected and transmitted to the server device.
The portable terminal according to claim 6 . The transmission unit uses the following equation when a preset positive parameter is ε

Select true location information with a probability P that satisfies
The mobile terminal according to any one of claims 5 to 7 . The transmission unit transmits dummy location information not based on the location information acquired by the location information acquisition unit to the server device at any one of the plurality of times.
The mobile terminal according to any one of claims 5 to 8 . a position information acquisition step of acquiring position information of the self-position in a preset target area;
At least one of a plurality of preset times, a server device for estimating the congestion status of the target area based on the result of statistical processing of the collected position information acquired in the position information acquisition step either true position information, which is the position information obtained in the step of obtaining position information, or false position information, which is position information different from the position information obtained in the position information obtaining step, is selected based on a preset probability and transmitted. a sending step to
A program that runs on a mobile terminal. The transmitting step is a step of transmitting presence/absence information representing the presence/absence of each of a plurality of small areas obtained by dividing the target area to the server device as position information.
11. A program according to claim 10 . In the transmitting step, presence/absence information indicating that a small area including the self-location among the plurality of small areas is in the small area is regarded as true location information, and any one of the plurality of small areas that does not include the self-location is set as true location information. A step of selecting and transmitting either the true position information or the false position information, with presence/absence information indicating that the sub-region is in the sub-region as false position information.
12. A program according to claim 11 . The transmission step is performed by the following equation when a preset positive parameter is ε

is a step of selecting true location information with a probability P that satisfies
A program according to any one of claims 10 to 12 . The transmitting step is a step of transmitting dummy position information not based on the position information acquired in the position information acquiring step to the server device at any one of the plurality of times.
A program according to any one of claims 10 to 13 .

Images