WO2021181509A1 - 混雑推定システム、サーバ装置、携帯端末、およびプログラム - Google Patents

混雑推定システム、サーバ装置、携帯端末、およびプログラム Download PDF

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Publication number: WO2021181509A1
Authority: WO; WIPO (PCT)
Prior art keywords: position information; congestion; unit; server device; target area
Prior art date: 2020-03-10

Application number

PCT/JP2020/010207

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English (en)

French (fr)

Japanese (ja)

Inventor

真人高井

Original Assignee

三菱電機株式会社

Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)

2020-03-10

Filing date

2020-03-10

Publication date

2021-09-16

2020-03-10 Application filed by 三菱電機株式会社 filed Critical 三菱電機株式会社

2020-03-10 Priority to PCT/JP2020/010207 priority Critical patent/WO2021181509A1/ja

2020-03-10 Priority to CN202080097634.7A priority patent/CN115191001A/zh

2020-03-10 Priority to JP2022507038A priority patent/JP7327644B2/ja

2021-09-16 Publication of WO2021181509A1 publication Critical patent/WO2021181509A1/ja

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230000005540 biological transmission Effects 0.000 claims abstract description 69
238000000034 method Methods 0.000 claims abstract description 8
238000004378 air conditioning Methods 0.000 claims description 4
230000006870 function Effects 0.000 description 12
238000010586 diagram Methods 0.000 description 7
230000032258 transport Effects 0.000 description 3
125000002066 L-histidyl group Chemical group [H]N1C([H])=NC(C([H])([H])[C@](C(=O)[*])([H])N([H])[H])=C1[H] 0.000 description 1
239000002131 composite material Substances 0.000 description 1
230000010365 information processing Effects 0.000 description 1
238000012423 maintenance Methods 0.000 description 1
238000005259 measurement Methods 0.000 description 1
239000004065 semiconductor Substances 0.000 description 1

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Classifications

- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services

Definitions

This disclosure relates to congestion estimation systems, server devices, mobile terminals, and programs.
Patent Document 1 discloses an example of a system including an analyzer.
the analyzer analyzes the occurrence of traffic congestion based on the concealed position information of the moving body.
the starting point or the destination of the position information is concealed by deleting a part of the information of the route of the moving body.
the position information of the user who moves with the moving body is concealed after being collected in the position information storage device. Therefore, when the concealment processing of the system is applied to the location information acquired by the mobile terminal possessed by the user, the user who does not trust the location information storage device feels resistance to the provision of the location information. In some cases.
the present disclosure provides a congestion estimation system, a server device, a mobile terminal, and a program that can alleviate a user's resistance to providing location information used for estimating a congestion situation.
the congestion estimation system includes a plurality of mobile terminals possessed by each user and a server device, and each of the plurality of mobile terminals has its own position information in a preset target area.
the true position information which is the position information acquired by the position information acquisition unit, or the position information acquisition unit acquires the position information acquisition unit and at least one of a plurality of preset times.
the server device includes a transmitter that selects one of the generated position information and fake position information that is different from the position information based on a preset probability and transmits it to the server device, and the server device is provided with a plurality of mobile terminals.
the congestion status of the target area is estimated based on the result of the receiving unit that receives the position information transmitted by each, the statistical processing unit that statistically processes the position information received by the receiving unit, and the statistical processing by the statistical processing unit. It is provided with a congestion estimation unit and a congestion estimation unit.
the server device is among a plurality of preset times by each of a plurality of mobile terminals possessed by each user and acquiring position information of each self-position in a preset target area. At least at any time, it is preset from either true location information that is the location information acquired by the mobile terminal or fake location information that is different from the location information acquired by the mobile terminal.
a receiver that receives location information selected and transmitted based on the probability, a statistical processing unit that statistically processes the location information received by the receiving unit, and a target based on the result of statistical processing by the statistical processing unit. It is provided with a congestion estimation unit that estimates the congestion status of the area.
the mobile terminal has a position information acquisition unit that acquires position information of its own position in a preset target area, and position information collected at at least one of a plurality of preset times.
the server device that estimates the congestion status of the target area based on the result of the statistical processing of It includes a transmission unit that selects and transmits any of fake position information, which is information, based on a preset probability.
the program according to the present disclosure includes a position information acquisition step for acquiring the position information of the self-position in a preset target area, and the collected position information at at least one of a plurality of preset times.
the server device that estimates the congestion status of the target area based on the result of statistical processing is different from the true location information that is the location information acquired in the location information acquisition step or the location information acquired in the location information acquisition step.
a mobile terminal is made to execute a transmission step of selecting and transmitting one of fake position information, which is position information, based on a preset probability.
the congestion estimation system, server device, mobile terminal, and program according to the present disclosure can alleviate the user's resistance to the provision of location information used for estimating the congestion situation.
FIG. It is a block diagram of the building system which concerns on Embodiment 1.
FIG. It is a figure which shows the example of the target area of the congestion estimation which concerns on Embodiment 1.
FIG. It is a flowchart which shows the example of the operation of the mobile terminal which concerns on Embodiment 1.
FIG. It is a sequence diagram which shows the example of the operation of the congestion estimation system which concerns on Embodiment 1.
FIG. It is a hardware block diagram of the main part of the building system which concerns on Embodiment 1.
FIG. 1 is a configuration diagram of a building system according to the first embodiment.
Building system 1 is applied to buildings.
the building has multiple floors.
the building system 1 includes an air conditioner 2.
the air conditioner 2 is a device that harmonizes air in a building.
the 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 users by a car that runs vertically between multiple floors of a building.
the passenger conveyor is a tilted escalator that transports users diagonally between multiple floors of a building, or a horizontal escalator that transports users horizontally in a building.
the building system 1 includes a congestion estimation system 4.
the congestion estimation system 4 is a system that estimates the congestion of the target area for the building to which the building system 1 is applied.
the target area is, for example, the area inside the building.
the target area includes, for example, an elevator landing.
the target area includes, for example, an entrance / exit of a passenger conveyor.
the target area may include an area outside the building, such as around the building.
the congestion situation is estimated for a preset target period.
the target period is, for example, a period of several minutes or several hours.
the estimation of the congestion situation may be repeated for a plurality of consecutive target periods.
the target period in which the congestion situation is estimated includes a plurality of preset times.
the target period in which the congestion situation is estimated includes T times with T as a natural number.
the T times are, for example, times that are evenly spaced from each other.
the congestion estimation system 4 includes a plurality of mobile terminals 5 and a server device 6.
Each mobile terminal 5 is possessed by the 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.
the mobile terminal 5 may be a wireless tag or the like provided to the user by the administrator of the building system 1.
the operation of each mobile terminal 5 is executed based on, for example, an installed program.
the program for operating the mobile terminal 5 owned by the user is, for example, a program installed on the mobile terminal 5 by the user as an application program.
the application program may have a function such as providing information on services in the building.
the program for operating the mobile terminal 5 provided to the user by the administrator of the building system 1 is, for example, a program pre-installed in the mobile terminal 5.
N is a natural number
N mobile terminals 5 are possessed by N users.
the mobile terminal 5 includes a position information acquisition unit 7, a probability calculation unit 8, and a transmission unit 9.
the position information acquisition unit 7 is a part that acquires the position information of the self-position of the mobile terminal 5.
the self-position of the mobile terminal 5 is associated with the self-position of the user who owns the mobile terminal 5.
the position information is, for example, three-dimensional coordinates representing a position.
the position information may be information representing the floor of the building, a set of two-dimensional coordinates representing the position on the floor, 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).
GPS Global Positioning System
the position information acquisition unit 7 may acquire the position information of its own position by an indoor positioning system applied to the building.
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 calculation unit 8 is equipped with 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 position 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 the building so that the location information can be transmitted.
the transmission unit 9 may connect 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 the target area for the building to which the building system 1 is applied.
the server device 6 is provided in, for example, a building to which the building system 1 is applied. Alternatively, the server device 6 may be provided in another building of the 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 based on, for example, an installed program.
the server device 6 includes a receiving unit 10, a statistical processing unit 11, a congestion estimation unit 12, a storage unit 13, and a report generation unit 14.
the receiving unit 10 is a part that receives the position information transmitted from each mobile terminal 5.
the position information received by the receiving unit 10 includes the position information transmitted from the nth mobile terminal 5 at the t-th time.
t is a natural number of T or less
n is a natural number of N or less. That is, t ⁇ ⁇ 1, 2, ..., T ⁇ , n ⁇ ⁇ 1, 2, ..., N ⁇ .
the receiving unit 10 can receive N ⁇ T position information during the target period.
the statistical processing unit 11 is a part that statistically processes a plurality of position information received by the receiving unit 10 from each mobile terminal 5. Even when a part of the plurality of position information includes information representing a situation different from the actual situation, the statistical processing unit 11 performs the statistical processing to obtain the actual congestion situation as the entire information of the target area. The reflected information can be output as the processing result.
the congestion estimation unit 12 is a part that estimates the congestion status in the target area based on the result of statistical processing by the statistical processing unit 11.
the congestion status estimated by the congestion status 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 indicating the degree of congestion such as the density of users.
the storage unit 13 is a portion that accumulates and stores the congestion status 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 generation unit 14 is a part that generates a report that reports the congestion status of the target area.
the report is generated, for example, for the manager or owner of the building to which the building system 1 is applied.
the report generation unit 14 generates a report based on, for example, the estimation result of the congestion situation accumulated and stored in the storage unit 13.
FIG. 2 is a diagram showing an example of a target area for congestion estimation according to the first embodiment.
the target area is a rectangular parallelepiped space area S including the building inside.
the target area is divided into a plurality of small areas.
each small area that divides the target area is identified by, for example, numbering.
the target area of this example is divided into floors in the vertical direction.
each subregion is a rectangular parallelepiped spatial region of equal volume that divides each floor into a square grid.
m-th small region is a spatial region s m.
m is a natural number less than or equal to M. That is, m ⁇ ⁇ 1, 2, ..., M ⁇ .
the position information transmitted by the transmission unit 9 of the mobile terminal 5 is represented by, for example, presence / absence information.
the presence / absence information is, for example, M-dimensional data in which each component is a binary value of ⁇ 0,1 ⁇ .
m th component represents the presence or absence of the portable terminal 5 in the small area s m. That is, when the m-th component of the presence or absence information of the n-th mobile terminal 5 is "0", the n-th mobile terminal 5 represents no small areas s m.
the n-th mobile terminal 5 indicates that in the small area s m.
the presence / absence information of the mobile terminal 5 at the position included in the small area s 2 is the second such as [0,1,0,0, ..., 0,0] ⁇ ⁇ 0,1 ⁇ M. It is expressed as presence / absence information in which only the component of is "1".
the position information acquisition unit 7 temporarily acquires the position information as another data representation of the presence / absence information, the position information may be converted into the data representation based on the presence / absence information in the position information acquisition unit 7. good.
FIG. 3 is a flowchart showing an example of the operation of the mobile terminal according to the first embodiment.
a positive parameter ⁇ is preset.
the parameter ⁇ is a value indicating how strongly the privacy of the user is protected. The smaller the value of the parameter ⁇ , the stronger the privacy of the user can be protected. The higher the value of the parameter ⁇ , the more accurate the estimation of the congestion situation can be.
the parameter ⁇ is preset in consideration of the balance between user privacy and accuracy of analysis results.
the parameter ⁇ is set to, for example, one common value in the congestion estimation system 4. At this time, the parameter ⁇ may be notified from, for example, the server device 6 to each mobile terminal 5.
I information provision times are selected from T times.
I is a natural number less than or equal to T.
the information provision time is randomly selected.
the probability calculation unit 8 may select the information provision time based on the generated random numbers.
the TI times that are not selected as the information provision time are dummy transmission times.
the information provision time and the dummy transmission time are selected individually in each mobile terminal 5.
the number I of information provision times is set to, for example, one common value in the congestion estimation system 4. At this time, the number I of the information provision time may be notified to each mobile terminal 5 from, for example, the server device 6.
each mobile terminal 5 performs the transmission process at each of the T times as follows.
the transmission unit 9 determines whether or not the time is the information provision time as the operation of step S1.
the t-th time is the information provision time
the operation of the mobile terminal 5 proceeds to step S2.
the t-th time is the dummy transmission time
the operation of the mobile terminal 5 proceeds to step S6.
step S2 the transmission unit 9 selects either true position information transmission or false position information transmission based on a preset probability.
the true position information is the position information acquired by the position information acquisition unit 7.
the false position information is position information different from the position information acquired by the position information acquisition unit 7.
the probability of transmitting true location information or false location information is set based on the parameter ⁇ .
the probability P for transmitting true position information and the probability Q for transmitting false position information are obtained by, for example, the probability calculation unit 8 based on the equation (1).
e ( ⁇ ) is an exponential function.
the probability calculation unit 8 generates a random number.
the transmission unit 9 selects whether to transmit true position information or false position information based on the random numbers generated by the probability calculation unit 8, the probability P, and the probability Q.
the transmission unit 9 selects to transmit the true position information in step S2
the operation of the mobile terminal 5 proceeds to step S3.
the transmission unit 9 selects to transmit fake position information in step S2
the operation of the mobile terminal 5 proceeds to step S4.
step S3 the transmission unit 9 transmits the presence / absence information representing the true position information to the server device 6.
the true position of the n-th mobile terminal 5 at t-th time The information is transmitted as presence / absence information in which only the m-th component is "1". After that, the operation of the mobile terminal 5 proceeds to step S1 for the next time.
step S4 the transmission unit 9 sets false position information.
the setting of false position information is performed as follows. If the location information acquired in the position information acquisition unit 7 of the n-th mobile terminal 5 at t-th time is included in the small region s m, the transmitting unit 9, the m-th component of the presence or absence information "0 ". The transmission unit 9 selects any one of the components other than the m-th component of the presence / absence information with the same probability. At this time, the transmission unit 9 may make a selection based on the random numbers generated by the probability calculation unit 8. The transmission unit 9 sets only one selected component of the presence / absence information as “1”. The transmission 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.
step S5 the transmission unit 9 transmits the 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.
the transmission unit 9 sets dummy position information.
the dummy position information is position information that does not depend on the position information acquired by the position information acquisition unit 7.
the dummy position information is set as follows, for example.
the transmission unit 9 selects any one component of the presence / absence information with a probability equal to each other. 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 make a selection based on a random number generated by the probability calculation unit 8.
the transmission unit 9 sets only one selected component of the presence / absence information as “1”.
the transmission 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.
the mobile terminal 5 may perform the transmission process for the first time in the next target period.
FIG. 4 is a sequence diagram showing an example of the operation of the congestion estimation system according to the first embodiment.
Each mobile terminal 5 executes a transmission process at a preset time.
the position information transmitted in the transmission process is either true position information, false position information, or dummy position information.
each mobile terminal 5 transmits true location information and false location information in the same format. Further, each mobile terminal 5 transmits true position information, false position information, or dummy position information in the same data representation format. That is, in the server device 6 that receives the position information, the true position information, the false position information, and the dummy position information cannot be deterministically distinguished from each other. Further, each mobile terminal 5 may transmit the location information anonymously.
the receiving unit 10 of the server device 6 receives the position information from each mobile terminal 5.
the statistical processing unit 11 statistically processes a plurality of position information collected by the receiving unit 10, for example, as follows.
the congestion degree distribution of the target area is expressed by the equation (2), for example, as the number of users in the m-th small area possessing the mobile terminal 5 at K t m at time t.
l t n and m represent the m-th component of the presence / absence information representing the true position information of the n-th mobile terminal 5 at time t.
⁇ 0 is a function that outputs the number of users K t m.
the receiving unit 10 receives the 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 an unbiased estimator of several K t m of users by the equation (3).
the unbiased estimator is expressed by putting a hat on the symbol.
L t n and m represent the m-th component of the presence / absence information received from the n-th mobile terminal 5 at time t.
⁇ is an aggregate function that outputs an unbiased estimator of several K t m of users.
the probability p and the probability q are calculated in advance based on, for example, the parameter ⁇ , the number of divisions of the region M, the number T of the time for transmitting the position information, the number I of the dummy transmission time, and the like.
the statistical processing by the statistical processing unit 11 is, for example, the calculation of such an unbiased estimator.
the statistical processing unit 11 may calculate, for example, the total value of the presence / absence information for each time and each small area over each mobile terminal 5 as the result of statistical processing.
the congestion estimation 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, the congestion degree distribution as a congestion situation.
the congestion estimation unit 12 estimates the congestion degree distribution based on , for example, an unbiased estimator of several K t m of users.
the congestion estimation unit 12 may detect a congestion region in which the degree of congestion exceeds a preset threshold value in the target period from a plurality of small regions.
the congestion estimation unit 12 may detect a congestion time in which the degree of congestion exceeds a preset threshold value in any of the small regions from a plurality of times included in the target period.
the congestion estimation unit 12 may detect the congestion position or the congestion time based on, for example, the estimated congestion degree distribution.
the congestion estimation unit 12 outputs the estimated congestion status to the storage unit 13.
the storage unit 13 accumulates and stores the congestion status input from the congestion estimation unit 12.
the congestion estimation unit 12 outputs the estimated congestion status to the air conditioner 2.
the air conditioner 2 performs air conditioning in the target area based on the input congestion status, for example, as follows.
the air conditioner 2 is operated so as to lower the temperature or humidity in a congested area or an area where congestion is expected, for example.
the air conditioner 2 may be operated so as to raise the temperature in a congested area or an area where congestion is expected.
the humidity when the humidity is low, the air conditioner 2 may be operated so as to raise the humidity in a congested area or an area where congestion is expected.
the congestion estimation unit 12 outputs the estimated congestion status to the elevator or elevator allocation control device.
the elevator allocation control device is, for example, a group management device that controls the allocation of elevator calls.
the elevator controls the operation as follows, for example, based on the input congestion status.
the elevator allocation control device causes the elevator to perform operation control based on the input congestion status, for example, as follows.
the elevator controls the operation so that the operation efficiency can be improved based on, for example, the congestion situation.
the elevator may be operated so that many cars are allocated to the floor including, for example, a congested area or an area where congestion is expected.
the congestion estimation unit 12 outputs the estimated congestion status to the passenger conveyor.
the passenger conveyor performs operation control based on the input congestion status, for example, as follows. For example, in a passenger conveyor provided with an aisle, when congestion occurs or is expected to occur on one of the entrances / exits, the passenger conveyor is operated so that the entrance / exit side is the boarding side. You may.
the report generation unit 14 generates a report based on the estimation result of the congestion situation 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 congestion status.
the report generation unit 14 may start generating a report when, for example, there is an operation from a maintenance person, a manager, an owner, or the like of the building system 1.
the congestion estimation system 4 includes a plurality of mobile terminals 5 and a server device 6.
Each mobile terminal 5 is possessed by the user of the mobile terminal 5.
Each mobile terminal 5 includes a position information acquisition unit 7 and a transmission unit 9.
the position information acquisition unit 7 acquires the position information of its own position in the preset target area.
the transmission unit 9 selects either true position information or false position information based on a preset probability at at least one of a plurality of preset times, and sends the server device 6 to the server device 6. Send.
the true position information is the position information acquired by the position information acquisition unit 7.
the false position information is position information different from the position information acquired by the position information acquisition unit 7.
the server device 6 includes a receiving unit 10, a statistical processing unit 11, and a congestion estimation unit 12.
the receiving unit 10 receives the position information transmitted by 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.
the mobile terminal 5 is made to execute the position information acquisition step and the transmission step.
the position information acquisition step is a step of acquiring the position information of the self-position in the preset target area.
In the transmission step at least one of a plurality of preset times, either true position information or false position information is selected based on a preset probability and transmitted to the server device 6. It is a step to do.
the location information used for estimating the congestion situation is stochastically transmitted as true or false location information from the mobile terminal 5 possessed by the user. Therefore, in the server device 6, the position information of each user cannot be deterministically reproduced. As a result, even a user who desires to protect his / her privacy can alleviate a feeling of resistance to providing location information used for estimating a congestion situation. Further, in the server device 6, a plurality of location information transmitted from the mobile terminals 5 of the plurality of users is statistically processed. Therefore, even when a plurality of location information transmitted from the mobile terminal 5 of each user may include fake location information, the information of the entire plurality of users such as the congestion status is statistically meaningful. It is calculated as the amount.
the transmission unit 9 transmits the presence / absence information as the position information to the server device 6.
the presence / absence information is information indicating the presence / absence of each of the plurality of small areas that divide the target area.
the transmission step is a step of transmitting presence / absence information as position information to the server device 6.
Presence / absence information Since each component of the presence / absence information is binary, false position information can be easily generated from the true position information. Presence / absence information does not require information on relationships such as distances or routes between small regions corresponding to each component. Therefore, regardless of the presence or absence of the internal structure of the building such as walls, columns, or fittings, it is easy to set the position information and reverse the truth of the position information.
the transmission unit 9 sets 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 sets the presence / absence information indicating that any one of the plurality of small areas that does not include its own position is in the small area as false position information.
the transmission unit 9 selects either such true position information or false position information and transmits it to the server device 6. Further, in the transmission step, the presence / absence information indicating that the small area including the self-position among the plurality of small areas is in the small area is regarded as the true position information.
the transmission step the presence / absence information indicating that any one of the plurality of small areas that does not include the self-position is in the small area is regarded as false position information.
the transmission step is a step of selecting either such true position information or false position information and transmitting it to the server device 6.
the location information Regardless of whether the location information is true or false, there is only one component of the presence / absence information that is "1" indicating that the mobile terminal 5 is present. Therefore, the type of fake location information transmitted to the server device 6 is suppressed. As a result, the decrease in the accuracy of the estimation of the congestion situation due to the trade-off with the protection of the privacy of the user can be suppressed.
the transmission unit 9 selects the true position information with a probability P that satisfies the equation (1) when the preset positive parameter is ⁇ , 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 satisfying the equation (1) when a preset positive parameter is ⁇ and transmitting it to the server device 6.
the transmission unit 9 transmits dummy position information to the server device 6 at any 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.
the transmission step is a step of transmitting dummy position information to the server device 6 at any 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.
the dummy location information does not reflect the user's location information. Since the true location information and the fake location information are transmitted in the dummy location information, the privacy of the user is more strongly protected.
the server device 6 includes a storage unit 13 and a report generation unit 14.
the storage unit 13 accumulates and stores the congestion status estimated by the congestion estimation unit 12.
the report generation unit 14 generates a report based on the congestion status accumulated by the storage unit 13.
the congestion estimation unit 12 outputs the estimated congestion status to the air conditioner 2.
the air conditioner 2 performs air conditioning in the target area based on the congestion status of the target area.
the congestion estimation unit 12 outputs the estimated congestion status to the elevator 3 provided in the target area.
the elevator 3 controls the operation based on the congestion status of the target area.
the congestion estimation unit 12 may output the estimated congestion status to other building equipment or the like.
the target area may be a combination of a plurality of polyhedra such as a cube, a rectangular parallelepiped, a polygonal prism, or a regular polyhedron.
the target area may be a three-dimensional area having a curved surface boundary.
the target area may be either a convex area or a concave area.
the target area may be an area having a hole.
the plurality of small areas do not have to divide the target area for each floor.
the plurality of small areas may divide the target area according to the structure of the floor surface of the building, for example.
each floor is divided into an orthorhombic lattice or a triangular lattice.
Each subregion may have a different shape from each other.
Each subregion may have different volumes from each other.
Each small region may be a region having a curved surface boundary.
the ratio of the number of information transmission times to the number of dummy transmission times may be set so that the error between the amount representing the congestion situation and the unbiased estimator of the amount becomes small, for example.
the error from the unbiased estimator may be, for example, a stochastic upper bound evaluated based on probability theory.
the position information transmitted from the mobile terminal 5 to the server device 6 may be, for example, presence / absence information that allows a 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 another data representation of the presence / absence information.
the position information transmitted from the mobile terminal 5 to the server device 6 may be a number of a small area including its own position. At this time, the false position information may be the number of any one small area that does not include the self-position. Further, the dummy position information may be the number of any one small area randomly selected.
server device 6 may be configured by, for example, a single piece of hardware. Alternatively, the server device 6 may be configured by a plurality of hardware. A part or all of the server device 6 may be a virtual server configured by a cloud service or the like.
FIG. 5 is a hardware configuration diagram of a main part of the building system according to the first embodiment.
the processing circuit includes at least one processor 200a and at least one memory 200b.
the processing circuit may include at least one dedicated hardware 100 with or as a substitute for 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 the software and firmware is written as a program.
the program is stored in the memory 200b.
the processor 200a realizes each function of the building system 1 by reading and executing the program stored in the memory 200b.
the processor 200a is also referred to as a CPU (Central Processing Unit), a processing device, an arithmetic unit, a microprocessor, a microcomputer, and a DSP.
the memory 200b is composed of, for example, a non-volatile or volatile semiconductor memory such as a RAM, a ROM, a flash memory, an EPROM, or an EEPROM.
the processing circuit When the processing circuit includes dedicated hardware 100, the processing circuit is realized by, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC, an FPGA, or a combination thereof.
Each function of the building system 1 can be realized by a processing circuit. Alternatively, each function of the building system 1 can be collectively realized by a processing circuit. For each function of the building system 1, a part may be realized by the dedicated hardware 100, and the other part may be realized by software or firmware. As described above, the processing circuit realizes each function of the building system 1 by the 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.
the mobile terminal and server device according to the present disclosure can be applied to the congestion estimation system.
the program according to the present disclosure can be applied to the mobile terminal.

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PCT/JP2020/010207 2020-03-10 2020-03-10 混雑推定システム、サーバ装置、携帯端末、およびプログラム WO2021181509A1 (ja)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number	Priority date	Publication date	Assignee	Title
JP2012175135A (ja) *	2011-02-17	2012-09-10	Nec Casio Mobile Communications Ltd	情報提供装置、情報受信装置、位置管理システム、情報提供方法、位置情報管理方法およびプログラム
JP2014109946A (ja) *	2012-12-03	2014-06-12	Fujitsu Ltd	位置情報秘匿方法、位置情報秘匿装置及び位置情報秘匿プログラム
JP2015529798A (ja) *	2012-06-29	2015-10-08	トムトムデベロップメントジャーマニーゲーエムベーハーＴｏｍＴｏｍＤｅｖｅｌｏｐｍｅｎｔＧｅｒｍａｎｙＧｍｂＨ	代替経路の生成

2020
- 2020-03-10 CN CN202080097634.7A patent/CN115191001A/zh active Pending
- 2020-03-10 WO PCT/JP2020/010207 patent/WO2021181509A1/ja active Application Filing
- 2020-03-10 JP JP2022507038A patent/JP7327644B2/ja active Active

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number	Priority date	Publication date	Assignee	Title
JP2012175135A (ja) *	2011-02-17	2012-09-10	Nec Casio Mobile Communications Ltd	情報提供装置、情報受信装置、位置管理システム、情報提供方法、位置情報管理方法およびプログラム
JP2015529798A (ja) *	2012-06-29	2015-10-08	トムトムデベロップメントジャーマニーゲーエムベーハーＴｏｍＴｏｍＤｅｖｅｌｏｐｍｅｎｔＧｅｒｍａｎｙＧｍｂＨ	代替経路の生成
JP2014109946A (ja) *	2012-12-03	2014-06-12	Fujitsu Ltd	位置情報秘匿方法、位置情報秘匿装置及び位置情報秘匿プログラム

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
TAKAHASHI, KATSUMI: "Protection of Personal Movement History", JOURNAL OF INFORMATION PROCESSING, vol. 55, no. 12, 15 November 2014 (2014-11-15), pages 1373 - 1380, ISSN: 0447-8053 *

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