Congestion measurement device, congestion measurement system, congestion measurement method, and congestion measurement program

Abstract

The congestion degree measuring device (1) has a data receiving unit (10) that receives wireless data based on wireless signals received by one or more wireless sensors (Sen#1 to Sen#I) at a location (9) set up to accept visitors (Gst#1 to Gst#Z), a visitor number calculation unit (20) that calculates the number of portable wireless terminals, which is the number of portable wireless terminals (Mob#1 to Mob#Y) that transmit wireless signals and are carried by the visitors (Gst#1 to Gst#Z) in the location (9), based on the wireless data or based on permanent wireless terminal information acquired as information on permanent wireless terminals (Dev#1 to Dev#X) that transmit wireless signals, and calculates the number of visitors, which is the number of visitors (Gst#1 to Gst#Z), from the number of portable wireless terminals, and a congestion degree calculation unit (30) that calculates a congestion degree indicating the degree of congestion caused by the visitors (Gst#1 to Gst#Z) at the location (9) based on the number of visitors.

Description

[Technical field]

[0001] The present disclosure relates to a congestion degree measurement device, a congestion degree measurement system, a congestion degree measurement method, and a congestion degree measurement program. [Background technology]

[0002] At venues where many people gather, it is expected that the risk of collisions between visitors or the risk of infection between visitors will increase as the venue becomes more crowded. In order for visitors to choose their actions after understanding these risks, it is important for them to correctly grasp the congestion situation within the venue themselves. However, it is difficult for visitors to grasp the congestion situation within a vast venue by relying on their own senses, and there is a risk that they will unintentionally approach a risk source. For this reason, there is a demand for venue operators to measure the degree of congestion and provide information about the congestion situation.

[0003] For example, Patent Document 1 proposes a device that calculates the degree of congestion inside a vehicle as a means of transportation, which is a place where many people gather, and presents congestion information.

[0004] Moreover, a method that utilizes wireless sensors, which balances measurement accuracy and operation costs, is often used to measure congestion levels. In particular, a method that utilizes advertisement signals, which are wireless signals periodically emitted by mobile wireless terminals such as smartphones carried by people, is advantageous in terms of ease of implementation, since it does not require the distribution of devices or the provision of application software, and does not require the cooperation of visitors. Here, the advertisement signal is used to connect wireless terminals with each other, and is a signal that includes an identification number for identifying the device. For example, Non-Patent Document 1 describes an example of using BLE (Bluetooth Low Energy) beacons as advertisement signals. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Patent Publication No. 2022-30906 [Non-patent literature]

[0006] [Non-Patent Document 1] Daisuke Sato and 5 others, "Congestion Visualization Service Using BLE Beacons," Transactions on Consumer Devices & Systems, Vol. 8, No. 1, pp. 1-10, January 2018. Summary of the Invention [Problem to be solved by the invention]

[0007] However, measuring the degree of congestion using radio signals emitted from portable wireless terminals carried by people has the problem that it is not possible to accurately measure the degree of congestion in places where wireless terminals other than portable wireless terminals are installed.

[0008] An object of the present disclosure is to provide a congestion degree measurement device, a congestion degree measurement system, a congestion degree measurement method, and a congestion degree measurement program that enable accurate measurement of congestion degree. [Means for solving the problem]

[0009] The congestion degree measuring device disclosed herein includes a data receiving unit that receives wireless data based on wireless signals received by one or more wireless sensors at a location set up to accept visitors, a visitor number calculating unit that calculates a number of portable wireless terminals that are carried by visitors in the location and that emit wireless signals, based on the wireless data or based on the wireless data and permanent wireless terminal information acquired as information related to the permanent wireless terminals that emit the wireless signals, and calculates a visitor number, which is the number of visitors, from the number of portable wireless terminals, and a congestion degree calculating unit that calculates a congestion degree that indicates the degree of congestion caused by the visitors at the location, based on the number of visitors. The visitor number calculation unit obtains a permanent wireless terminal number, which is the number of the permanent wireless terminals, based on the wireless data received during a period when the visitor is not accepted at the location, obtains a wireless terminal number, which is the total number of the permanent wireless terminals and the portable wireless terminals, based on the wireless data received during a period when the visitor is accepted at the location, and calculates the number of portable wireless terminals by subtracting the permanent wireless terminal number from the number of wireless terminals. It is characterized by:

[0010] The congestion degree measurement method of the present disclosure includes: A method performed by a crowding degree measuring device,The method includes the steps of: receiving wireless data based on wireless signals received by one or more wireless sensors at a location set up to accept visitors; calculating the number of portable wireless terminals, which is the number of portable wireless terminals that are carried by visitors in the location and that emit the wireless signals, based on the wireless data or based on the wireless data and permanent wireless terminal information acquired as information related to the permanent wireless terminals that emit the wireless signals, and calculating the number of visitors, which is the number of visitors, from the number of portable wireless terminals; and calculating a congestion degree, which indicates the degree of congestion at the location due to the visitors, based on the number of visitors.The step of calculating the number of visitors is characterized in that the number of permanent wireless terminals, which is the number of permanent wireless terminals, is obtained based on the wireless data received during a period when the visitors are not being accepted at the location, the number of wireless terminals, which is the total number of the number of permanent wireless terminals and the number of portable wireless terminals, is obtained based on the wireless data received during a period when the visitors are being accepted at the location, and the number of portable wireless terminals is calculated by subtracting the number of permanent wireless terminals from the number of wireless terminals. Effect of the Invention

[0011] By using the congestion level measurement device, congestion level measurement system, congestion level measurement method, and congestion level measurement program of the present disclosure, it is possible to measure the congestion level of people with high accuracy. [Brief description of the drawings]

[0012] [Figure 1] 1 is a diagram illustrating an outline of a configuration of a congestion degree measurement device and a congestion degree measurement system including the same according to a first embodiment. [Diagram 2] 1 is a diagram illustrating an example of a hardware configuration of a crowding degree measuring device according to a first embodiment. [Diagram 3] 4 is a flowchart showing the operation of the crowding degree measuring device according to the first embodiment. [Figure 4] 11 is a diagram illustrating an outline of a configuration of a congestion degree measurement device and a congestion degree measurement system including the same according to a second embodiment. FIG. [Diagram 5]10 is a flowchart showing the operation of the crowding degree measuring device according to the second embodiment. [Figure 6] FIG. 11 is a diagram illustrating an outline of a configuration of a congestion degree measurement device and a congestion degree measurement system including the same according to a third embodiment. [Figure 7] 11 is a flowchart showing the operation of the crowding degree measuring device according to the third embodiment. [Figure 8] FIG. 13 is a diagram illustrating an outline of a configuration of a congestion degree measurement device and a congestion degree measurement system including the same according to a fourth embodiment. [Figure 9] 9 is a functional block diagram showing a configuration of a congestion degree calculation unit in FIG. 8. [Figure 10] FIG. 2 is a diagram showing a coverage area of ​​a wireless sensor of interest. [Figure 11] FIG. 1 is a diagram showing partitioned regions divided by a wireless sensor of interest, adjacent wireless sensors, and non-adjacent wireless sensors. [Figure 12] 13 is a diagram illustrating an example of output from a duplicate wireless terminal detection unit of the congestion degree measuring device in the form of a table. FIG. [Figure 13] FIG. 13 is a diagram showing a count area in a calculation process of a reference congestion degree. [Figure 14] FIG. 13 is a diagram illustrating an example of a congestion degree gradient vector indicating a bias in the congestion degree. [Figure 15] FIG. 13 is a diagram illustrating an example of a process for calculating a congestion gradient vector. [Figure 16] FIG. 13 is a diagram showing an example of display of a congestion degree. [Figure 17] 13A and 13B are diagrams illustrating examples of display of congestion levels before and after blurring processing. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0013] Hereinafter, a congestion level measurement device, a congestion level measurement system, a congestion level measurement method, and a congestion level measurement program according to embodiments will be described with reference to the drawings. The following embodiments are merely examples, and each embodiment can be modified as appropriate.

[0014] Embodiment 1 FIG. 1 is a diagram illustrating a schematic configuration of a congestion measurement device 1 according to a first embodiment and a congestion measurement system including the same. The congestion measurement system is configured with the congestion measurement device 1 and one or more wireless sensors Sen#1 to Sen#N. The congestion measurement device 1 is a device for measuring the congestion degree of visitors in a preset location. The congestion measurement device 1 also generates presentation information for presenting congestion degree information related to the measured congestion degree. The congestion measurement device 1 is a device capable of implementing a congestion measurement method according to the first embodiment. The congestion measurement device 1 is, for example, a computer. The congestion measurement device 1 may be a computer system configured by cloud computing using a computer network.

[0015] 1, the congestion degree measurement device 1 includes a data receiving unit 10, a visitor number calculation unit 20, and a congestion degree calculation unit 30. The congestion degree measurement device 1 also includes a presentation information generation unit 40 and a storage device 50.

[0016] The data receiving unit 10 receives wireless data based on wireless signals (i.e., radio waves) received by one or more wireless sensors Sen#1 to Sen#I (I is a positive integer) in the venue 9, which is a location set up to accept visitors Gst#1 to Gst#Z (Z is a positive integer). The devices that transmit the wireless signals are wireless terminals. The wireless terminals include permanent wireless terminals Dev#1 to Dev#X (X is a positive integer) as devices located in the venue 9 (i.e., devices not carried by visitors) and portable wireless terminals Mov#1 to Mov#Y (Y is a positive integer) as portable devices carried by the visitors Gst#1 to Gst#Z (Z is a positive integer). The permanent wireless terminals Dev#1 to Dev#X are, for example, devices capable of wireless communication (e.g., audio equipment, video equipment, etc.). The portable wireless terminals Mov#1 to Mov#Y are devices carried by people, such as smartphones, personal computers, tablet terminals, and wearable devices (such as wristwatch-type smart watches and eyeglass-type smart glasses).

[0017] The wireless signal is transmitted from the wireless terminal repeatedly and regularly (e.g., periodically). The wireless signal is, for example, an advertisement signal. The wireless signal is a signal that includes an identification number for identifying the device that transmits the wireless signal. The advertisement signal is, for example, a Bluetooth Low Energy (BLE) beacon.

[0018] Visitors Gst#1 to Gst#Z are also written as visitor Gst#z, where z is an integer greater than or equal to 1 and less than or equal to Z. Wireless sensors Sen#1 to Sen#I are also written as wireless sensors Sen#i, where i is an integer greater than or equal to 1 and less than or equal to I. Permanent wireless terminals Dev#1 to Dev#X are also written as permanent wireless terminals Dev#x, where x is an integer greater than or equal to 1 and less than or equal to X. Portable wireless terminals Mob#1 to Mob#Y are also written as portable wireless terminal Mob#y, where y is an integer greater than or equal to 1 and less than or equal to Y.

[0019] Based on the wireless data received by the data receiving unit 10, the visitor number calculation unit 20 calculates the number of mobile wireless terminals, which is the number of mobile wireless terminals Mob#1 to Mob#Y that are carried by visitors Gst#1 to Gst#Z in the venue 9 and transmit wireless signals, and calculates the number of visitors, which is the number of visitors Gst#1 to Gst#Z, from the number of mobile wireless terminals. If it can be considered that each of the visitors Gst#1 to Gst#Z is carrying one mobile wireless terminal, the number of mobile wireless terminals is equal to the number of visitors. In addition, if the expected number of mobile wireless terminals (that transmit advertising signals) carried by each of the visitors Gst#1 to Gst#Z is assumed to be A [units / person], the number of visitors can be calculated from the number of mobile wireless terminals and the expected value A.

[0020] Specifically, visitor number calculation unit 20 acquires the number of permanent wireless terminals, which is the number of permanent wireless terminals Dev#1 to #Dev#X, based on wireless data received during a period when venue 9 is not accepting visitors (for example, before the venue opens), and acquires the number of wireless terminals, which is the total number of permanent wireless terminals and portable wireless terminals, based on wireless data received during a period when venue 9 is accepting visitors Gst#1 to Gst#Z (for example, after the venue opens). Visitor number calculation unit 20 calculates the number of portable wireless terminals by subtracting the number of permanent wireless terminals from the number of wireless terminals, and further calculates the number of visitors.

[0021] The congestion degree calculation unit 30 calculates a congestion degree indicating the degree of congestion caused by visitors Gst#1 to Gst#Z in the venue 9 based on the number of visitors calculated by the visitor number calculation unit 20. The congestion degree can be indicated by the number of visitors Gst#1 to Gst#Z in the entire venue 9, but may also be indicated by the number of people per unit area. The congestion degree calculation unit 30 can calculate the number of people per unit area by dividing the number of visitors by the area of ​​the venue. If the venue 9 is divided into a plurality of areas (i.e., areas with known areas) and the positions of visitors Gst#1 to Gst#Z within the venue 9 (i.e., which area the visitor is in) can be detected, the congestion degree can be calculated for each divided area. Such an example will be described in the fourth embodiment described later.

[0022] The presentation information generation unit 40 generates presentation information for presenting the congestion degree calculated by the congestion degree calculation unit 30 to visitors Gst#1 to Gst#Z. The presentation information may include a map of the venue 9. The presentation information is, for example, video information or audio information. The presentation information is provided to visitors Gst#1 to Gst#Z by information provision devices Disp#1 to Disp#3. The information provision devices Disp#1 to Disp#3 are, for example, display devices installed in the venue 9, audio provision devices that provide audio information in the venue, and personal computers or smartphones carried by visitors Gst#1 to Gst#Z.

[0023] In the first embodiment, the congestion degree measurement system includes one or more information provision devices Disp#1 to Disp#3 in addition to a congestion degree measurement device 1 and one or more wireless sensors Sen#1 to Sen#I.

[0024] 2 is a diagram showing an example of a hardware configuration of the congestion degree measurement device 1 according to the embodiment 1. The congestion degree measurement device 1 has a processor 101 such as a CPU (Central Processing Unit), a memory 102 as a storage device such as a RAM (Random Access Memory), a storage device 103 which is a non-volatile storage device such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive), and an interface 104. These components may be configured by dedicated processing circuits.

[0025] The processor 101 can execute the congestion level measurement program according to the first embodiment. The congestion level measurement program is provided by being recorded on a recording medium such as a Secure Digital memory card (SD memory card) or a Universal Serial Bus (USB) memory card, or by being downloaded via a network. The hardware configuration shown in Fig. 2 is an example, and various modifications of the hardware configuration are possible.

[0026] 3 is a flowchart showing the operation of the congestion level measuring device 1 according to the embodiment 1. In the embodiment 1, the visitor number calculation unit 20 first acquires the number of permanent wireless terminals, which is the number of permanent wireless terminals Dev#1 to Dev#X, based on wireless data received during a period when no visitors are accepted at the venue 9 (steps S11 and S12).

[0027] Next, the visitor number calculation unit 20 obtains the number of wireless terminals, which is the total number of permanent wireless terminals and portable wireless terminals, based on the wireless data received during the period when the venue 9 is accepting visitors Gst#1 to Gst#Z (steps S13, S14).

[0028] Next, the visitor number calculation unit 20 calculates the number of portable wireless terminals by subtracting the number of permanent wireless terminals from the number of wireless terminals. In the first embodiment, the visitor number calculation unit 20 calculates the number of visitors from the number of portable wireless terminals (step S15). In calculating the number of visitors, a value other than 1 may be used as the expected value A.

[0029] Next, the congestion degree calculation unit 30 calculates the congestion degree in the venue 9 (or the congestion degree for each area in the venue 9) (step S16).

[0030] Next, the presentation information generator 40 uses the congestion degree to generate presentation information (for example, video information, audio information) for presenting information indicating the congestion degree (step S17).

[0031] The processes of steps S13 to S17 are repeated until a command to end the measurement of the congestion degree is received (step S18).

[0032] According to the device, system, method, and program of the first embodiment, it is possible to count only the number of portable wireless terminals Mob#1 to Mob#Y carried by visitors Gst#1 to Gst#Z, without being affected by the permanent wireless terminals Dev#1 to Dev#X. In this way, since the congestion degree can be calculated from the number of portable wireless terminals, it is possible to improve the accuracy of the congestion degree presented to visitors Gst#1 to Gst#Z.

[0033] In addition, when wireless signals transmitted from wireless terminals are received by multiple wireless sensors Sen#1 to Sen#I, it is possible to present the distribution of portable wireless terminals Mob#1 to Mob#Y within venue 9, i.e., the degree of congestion in each area obtained by dividing venue 9.

[0034] Embodiment 2 FIG. 4 is a diagram illustrating a schematic configuration of a congestion measurement device 2 according to the second embodiment and a congestion measurement system including the same. The congestion measurement system is composed of the congestion measurement device 2 and one or more wireless sensors Sen#1 to Sen#I. The congestion measurement device 2 is a device for measuring the congestion degree of visitors in a preset location. The congestion measurement device 2 generates presentation information for presenting congestion degree information related to the measured congestion degree. The congestion measurement device 2 is a device capable of implementing a congestion measurement method according to the second embodiment. The congestion measurement device 2 is, for example, a computer. The congestion measurement device 2 may be a computer system configured by cloud computing using a computer network.

[0035] In Fig. 4, components that are the same as or correspond to those shown in Fig. 1 are denoted by the same reference numerals as those shown in Fig. 1. The congestion degree measurement device 2 according to the second embodiment differs from the congestion degree measurement device 1 according to the first embodiment in that it has an identification information list creation unit 60 and in that it performs processing by a visitor number calculation unit 20a. The congestion degree measurement device 2 according to the second embodiment calculates the number of portable wireless terminals, which is the number of portable wireless terminals Mob#1 to Mob#Y that transmit wireless signals and are carried by visitors Gst#1 to Gst#Z in the venue 9, based on wireless data and permanent wireless terminal information (including identification information of permanent wireless terminals Dev#1 to Dev#X) acquired as information related to permanent wireless terminals Dev#1 to Dev#X that transmit wireless signals, and calculates the number of visitors, which is the number of visitors Gst#1 to Gst#Z, from the number of portable wireless terminals.

[0036] The identification information list creation unit 60 of the congestion level measuring device 2 extracts identification information for identifying the permanent wireless terminals Dev#1 to Dev#X from the wireless data received during the period when the venue 9 is not accepting visitors, and stores an identification information list consisting of the identification information of the permanent wireless terminals Dev#1 to Dev#X in the storage device 50.

[0037] The visitor number calculation unit 20a calculates the number of portable wireless terminals based on the identification information list stored in the storage device 50 and the wireless data received during the period when the venue 9 accepts the visitors Gst#1 to Gst#Z. Specifically, the visitor number calculation unit 20a selects wireless data other than the wireless data based on the wireless signals transmitted from the permanent wireless terminals Dev#1 to Dev#X in the identification information list from the wireless data received during the period when the venue 9 accepts the visitors Gst#1 to Gst#Z (i.e., wireless data based on the wireless signals transmitted from the permanent wireless terminals Dev#1 to Dev#X and wireless data based on the wireless signals transmitted from the portable wireless terminals Mob#1 to Mob#Y), and calculates the number of portable wireless terminals based on the selected wireless data (i.e., wireless data based on the wireless signals transmitted from the portable wireless terminals Mob#1 to Mob#Y). The visitor number calculation unit 20a calculates the number of visitors from the number of portable wireless terminals. The expected value A may be used in calculating the number of visitors.

[0038] In the second embodiment, the congestion level measurement system may include one or more information provision devices Disp#1 to Disp#3 in addition to the congestion level measurement device 2 and one or more wireless sensors Sen#1 to Sen#I.

[0039] 5 is a flowchart showing the operation of the congestion degree measuring device 2 according to the embodiment 2. In the embodiment 2, the identification information list creating unit 60 extracts the identification information of the permanent wireless terminals Dev#1 to Dev#X from the wireless data received during the period when the venue 9 is not accepting visitors, creates an identification information list of the permanent wireless terminals Dev#1 to Dev#X, and stores the list in the storage device 50 (steps S21 and S22).

[0040] Next, from the wireless data received during the period when visitors Gst#1 to Gst#Z are accepted at the venue 9, the visitor number calculation unit 20a selects wireless data other than the wireless data based on wireless signals transmitted from the permanent wireless terminals Dev#1 to Dev#X in the identification information list stored in the storage device 50, and calculates the number of portable wireless terminals based on the selected wireless data (i.e., the wireless data based on wireless signals transmitted from the portable wireless terminals Mob#1 to Mob#Y) (steps S23, S24). Next, the visitor number calculation unit 20a calculates the number of visitors from the number of portable wireless terminals (step S25). In calculating the number of visitors, a value other than 1 may be used as the expected value A.

[0041] Next, the congestion degree calculation unit 30 calculates the congestion degree in the venue 9 (or the congestion degree for each area in the venue 9) (step S26).

[0042] Next, the presentation information generator 40 uses the congestion degree to generate presentation information (for example, video information, audio information) for presenting information indicating the congestion degree (step S27).

[0043] The processes of steps S23 to S27 are repeated until a command to end the measurement of the congestion degree is received (step S28).

[0044] According to the device, system, method, and program of the second embodiment, it is possible to count only the number of portable wireless terminals Mob#1 to Mob#Y carried by visitors Gst#1 to Gst#Z without being affected by the permanent wireless terminals Dev#1 to Dev#X. Since the congestion degree can be calculated from the number of portable wireless terminals, it is possible to improve the accuracy of the congestion degree presented to visitors Gst#1 to Gst#Z.

[0045] In addition, when wireless signals transmitted from wireless terminals are received by multiple wireless sensors Sen#1 to Sen#I, it is possible to present the distribution of portable wireless terminals Mob#1 to Mob#Y within venue 9, i.e., the degree of congestion in each area obtained by dividing venue 9.

[0046] In addition, in the second embodiment, in addition to the process of calculating the number of visitors (steps S21 to S25), the process of calculating the number of visitors in the first embodiment (steps S11 to S15) may be executed to improve the accuracy of the calculated number of visitors. For example, if the number of visitors calculated by the process of calculating the number of visitors in the second embodiment (steps S21 to S25) differs from the number of visitors calculated by the process of calculating the number of visitors in the first embodiment (steps S11 to S15), the process of calculating the number of visitors (steps S21 to S25) may be set to be executed again. Alternatively, a representative value (for example, an average value) calculated from the number of visitors calculated by the process of calculating the number of visitors in the second embodiment (steps S21 to S25) and the number of visitors calculated by the process of calculating the number of visitors in the first embodiment (steps S11 to S15) may be used as the number of visitors.

[0047] Except for the above, the second embodiment is the same as the first embodiment.

[0048] Embodiment 3 FIG. 6 is a diagram illustrating a schematic configuration of a congestion level measurement device 3 according to a third embodiment and a congestion level measurement system including the congestion level measurement device 3. The congestion level measurement system includes a congestion level measurement device 3 and one or more wireless sensors Sen#1 to Sen#I. The congestion level measurement device 3 is a device for measuring the congestion level of visitors in a preset location. The congestion level measurement device 3 generates presentation information for presenting congestion level information related to the measured congestion level. The congestion level measurement device 3 is a device capable of implementing a congestion level measurement method according to the third embodiment. The congestion level measurement device 3 is, for example, a computer. The congestion level measurement device 3 may be a computer system configured by cloud computing using a computer network.

[0049] In Fig. 6, components that are the same as or correspond to those shown in Fig. 1 are denoted by the same reference numerals as those shown in Fig. 1. The congestion level measurement device 3 according to the third embodiment differs from the congestion level measurement device 1 according to the first embodiment in that it further includes an exclusion profile list creation unit 70 that acquires in advance communication profiles of wireless signals transmitted from the permanent wireless terminals Dev#1 to Dev#X and stores an exclusion profile list, which is a profile list consisting of the communication profiles, in the storage device 50, and in that it performs processing by the visitor number calculation unit 20b. The congestion level measurement device 3 according to the third embodiment calculates the number of portable wireless terminals, which is the number of portable wireless terminals Mob#1 to Mob#Y that transmit wireless signals and are carried by visitors Gst#1 to Gst#Z in the venue 9, based on the wireless data and the permanent wireless terminal information acquired as information related to the permanent wireless terminals Dev#1 to Dev#X that transmit wireless signals, and calculates the number of visitors from the number of portable wireless terminals.

[0050] The visitor number calculation unit 20b receives from the outside the communication profiles of the wireless signals transmitted from the permanent wireless terminals Dev#1 to Dev#X. The communication profile is input by the operator (e.g., the manager) of the venue 9, but may be extracted from the reception data received before the venue 9 opens, as in the second embodiment.

[0051] The visitor number calculation unit 20b calculates the number of portable wireless terminals based on the exclusion profile list stored in the storage device 50 and the wireless data received during the period when the venue 9 accepts the visitors Gst#1 to Gst#Z. Specifically, the visitor number calculation unit 20b selects wireless data by excluding the permanent wireless terminals Dev#1 to Dev#X that use a communication profile in the exclusion profile list from the wireless data received during the period when the venue 9 accepts the visitors Gst#1 to Gst#Z (i.e., wireless data based on wireless signals transmitted from the permanent wireless terminals Dev#1 to Dev#X and wireless data based on wireless signals transmitted from the portable wireless terminals Mob#1 to Mob#Y), and calculates the number of portable wireless terminals based on the selected wireless data (i.e., wireless data based on wireless signals transmitted from the portable wireless terminals Mob#1 to Mob#Y).

[0052] In the third embodiment, the congestion level measurement system may include one or more information provision devices Disp#1 to Disp#3 in addition to the congestion level measurement device 3 and one or more wireless sensors Sen#1 to Sen#I.

[0053] 7 is a flowchart showing the operation of the congestion level measuring device 3 according to the third embodiment. In the third embodiment, the exclusion profile list creating unit 70 acquires in advance the communication profiles of wireless signals transmitted from the permanent wireless terminals Dev#1 to Dev#X, and stores an exclusion profile list, which is a profile list made up of the communication profiles, in the storage device 50 (steps S31 and S32). The communication profiles of wireless signals transmitted from the permanent wireless terminals Dev#1 to Dev#X may be stored in the storage device 50 in advance, or may be recorded in the storage device 50 by a user operation.

[0054] Next, visitor number calculation unit 20b selects, from the wireless data received during the period when visitors Gst#1 to Gst#Z are accepted at venue 9, wireless data other than wireless data based on wireless signals using a communication profile in the excluded profile list stored in storage device 50, and calculates the number of mobile wireless terminals based on the selected wireless data (i.e., wireless data based on wireless signals transmitted from mobile wireless terminals Mob#1 to Mob#Y) (steps S33, S34). Next, visitor number calculation unit 20b calculates the number of visitors from the number of mobile wireless terminals (step S35). In calculating the number of visitors, a value other than 1 may be used as expected value A.

[0055] Next, the congestion degree calculation unit 30 calculates the congestion degree in the venue 9 (or the congestion degree for each area in the venue 9) (step S36).

[0056] Next, the presentation information generator 40 uses the congestion degree to generate presentation information (for example, video information, audio information) for presenting information indicating the congestion degree (step S37).

[0057] The processes of steps S33 to S37 are repeated until a signal to end the measurement of the congestion degree is received (step S38).

[0058] According to the device, system, method, and program of the third embodiment, it is possible to count only the number of portable wireless terminals Mob#1 to Mob#Y carried by visitors Gst#1 to Gst#Z without being affected by the permanent wireless terminals Dev#1 to Dev#X. Since the congestion degree can be calculated from the number of portable wireless terminals, it is possible to improve the accuracy of the congestion degree presented to visitors Gst#1 to Gst#Z.

[0059] In addition, when wireless signals transmitted from wireless terminals are received by multiple wireless sensors Sen#1 to Sen#I, it is possible to present the distribution of portable wireless terminals Mob#1 to Mob#Y within venue 9, i.e., the degree of congestion in each area obtained by dividing venue 9.

[0060] Furthermore, in embodiment 3, in addition to the process of calculating the number of visitors (steps S31 to S35), at least one of the process of calculating the number of visitors in embodiment 1 (steps S11 to S15) and the process of calculating the number of visitors in embodiment 2 (steps S21 to S25) may be executed to improve the accuracy of the calculated number of visitors.

[0061] For example, if the number of visitors calculated by the visitor number calculation process (steps S31 to S35) in the third embodiment differs from the number of visitors calculated by the visitor number calculation process (steps S11 to S15) in the first embodiment, the visitor number calculation process (steps S31 to S35) may be set to be executed again. Alternatively, a representative value (for example, an average value) calculated from the number of visitors calculated by the visitor number calculation process (steps S21 to S25) in the third embodiment and the number of visitors calculated by the visitor number calculation process (steps S11 to S15) in the first embodiment may be used as the number of visitors.

[0062] Furthermore, if the number of visitors calculated by the visitor number calculation process (steps S31 to S35) in the third embodiment differs from the number of visitors calculated by the visitor number calculation process (steps S21 to S25) in the second embodiment, the visitor number calculation process (steps S31 to S35) may be set to be executed again. Alternatively, a representative value (for example, an average value) calculated from the number of visitors calculated by the visitor number calculation process (steps S31 to S35) in the third embodiment and the number of visitors calculated by the visitor number calculation process (steps S21 to S25) in the second embodiment may be used as the number of visitors.

[0063] Alternatively, the number of visitors may be a representative value (e.g., an average value) calculated from the number of visitors calculated by the visitor calculation process in embodiment 3 (steps S31 to S35), the number of visitors calculated by the visitor calculation process in embodiment 1 (steps S11 to S15), and the number of visitors calculated by the visitor calculation process in embodiment 2 (steps S21 to S25).

[0064] Except for the above, the third embodiment is the same as the first or second embodiment.

[0065] Embodiment 4 FIG. 8 is a diagram illustrating a schematic configuration of a congestion level measurement device 4 according to a fourth embodiment and a congestion level measurement system including the same. The congestion level measurement system is composed of a congestion level measurement device 4 and a plurality of wireless sensors Sen#1 to Sen#I. The congestion level measurement device 4 is a device for measuring the congestion level of visitors in a preset location. The congestion level measurement device 4 also generates presentation information for presenting congestion level information related to the measured congestion level. The congestion level measurement device 4 is a device capable of implementing a congestion level measurement method according to the fourth embodiment. The congestion level measurement device 4 is, for example, a computer. The congestion level measurement device 4 may be a computer system configured by cloud computing using a computer network.

[0066] In Fig. 8, components that are the same as or correspond to those shown in Fig. 1 are denoted by the same reference numerals as those shown in Fig. 1. The congestion level measurement device 4 according to the fourth embodiment differs from the congestion level measurement device 1 according to the first embodiment in the processing by the congestion level calculation unit 30c and the processing by the presentation information generation unit 40c. In the fourth embodiment, the congestion level measurement system may include one or more information provision devices Disp#1-Disp#3 in addition to the congestion level measurement device 4 and the multiple wireless sensors Sen#1-Sen#N.

[0067] In the fourth embodiment, each of the wireless sensors Sen#1 to Sen#N periodically transmits an advertising signal as a wireless signal. A wireless sensor of interest among the wireless sensors Sen#1 to Sen#N receives an advertising signal transmitted from a wireless sensor adjacent to the wireless sensor of interest, and measures the received signal strength of the received advertising signal. The congestion measurement device 4 receives the received signal strength of the advertising signal from each of the wireless sensors Sen#1 to Sen#N, and performs processes such as dynamically updating the receivable region, detecting overlapping wireless terminals that are wireless terminals transmitting wireless signals received by the wireless sensors, and calculating a congestion gradient vector that indicates a change in the congestion degree in the venue 9, using the received signal strength of the received advertising signal. The receivable region is a region in which a signal of an assumed reference signal strength can be received at or above a lower limit received signal strength, and varies depending on the change in the surrounding radio wave attenuation. For example, moisture, which is abundant in the human body, has a radio wave absorbing effect, so that in a crowded environment, the attenuation rate of the received signal strength with distance increases. As a result, the actual coverage area of ​​the wireless sensor tends to be smaller than the design value, and the measured congestion level tends to be lower.

[0068] The process by the congestion degree calculation unit 30c and the process by the presentation information generation unit 40c of the congestion degree measurement device 4 according to the fourth embodiment are applicable to any of the first, second, and third embodiments.

[0069] 9 is a functional block diagram showing the configuration of the congestion degree calculation unit 30c. The congestion degree calculation unit 30c includes a reception area update unit 31, an overlapping wireless terminal detection unit 32, a reference congestion degree calculation unit 33, a congestion degree gradient calculation unit 34, and a storage device 50.

[0070] The storage device 50 stores wireless sensor information related to each of the multiple wireless sensors Sen#1 to Sen#N. The wireless sensor information includes installation location information indicating the installation location of each of the multiple wireless sensors Sen#1 to Sen#N, and coverage area information indicating the coverage area of ​​each of the multiple wireless sensors Sen#1 to Sen#N. The coverage area information stored in the storage device 50 is updated periodically or at any timing by the coverage area update unit 31. The storage device 50 may also store one or more of the number of permanent wireless terminals described in the first embodiment, the permanent wireless terminal list described in the second embodiment, and the excluded profile list described in the third embodiment.

[0071] The coverage area update unit 31 calculates the coverage area of ​​each of the wireless sensors Sen#1 to Sen#N from the change in the received signal strength of a wireless signal (for example, an advertising signal, which is a predetermined wireless signal) transmitted and received between adjacent wireless sensors, and updates the coverage area information of each of the wireless sensors Sen#1 to Sen#N stored in the storage device 50. Here, the coverage area is calculated based on the assumed reference signal strength T dev Lower limit of wireless signal received signal strength RSSI [dBm] min The RSSI (received signal strength indicator) is the area where reception is possible with a received signal strength of at least 1 dBm. To calculate the reception area, the following formula (1), which is a well-known formula for received signal strength RSSI (dBm), can be used:

[0072]

number

[0073] In formula (1), d represents the distance between the wireless transmitter (here, an adjacent wireless sensor) and the wireless receiver (here, the wireless sensor of interest). T [dBm] represents the reference signal strength, which is the received signal strength when a reference wireless signal transmitted from the wireless transmitter is measured at a position a unit distance away from the wireless transmitter. n represents a coefficient indicating the degree of radio wave attenuation in the environment. In a free space with no obstacles in the vicinity, n = 2.0, and in a crowded space where radio wave attenuation is likely to occur, it is known that n > 2.0.

[0074] The assumed reference signal strength T of the wireless terminal dev The wireless signal is below the minimum received signal strength (RSSI) min Maximum receiving distance d max The formula for calculating the maximum receiving distance d can be obtained by eliminating n from the above formula (1) and rearranging it for d. max The formula for calculating this is shown below as equation (2).

[0075]

number

[0076] In formula (2), d sen represents the distance to the neighboring wireless sensor, and RSSI sen [dBm] represents the received signal strength of the wireless signal transmitted from the neighboring wireless sensor, and T sen [dBm] represents the reference signal strength, which is the strength of the wireless signal transmitted from the adjacent wireless sensor. In addition, in formula (2), the assumed reference signal strength T dev , reference signal strength T sen , Lower limit of received signal strength RSSI min , and distance d sen Therefore, by using equation (2), the received signal strength RSSI sen From the value of , the maximum reception distance at that time d max can be calculated.

[0077] In other words, the data receiving unit 10 receives wireless data based on a predetermined wireless signal (e.g., an advertising signal) that is periodically transmitted by a wireless sensor 80 of interest among multiple wireless sensors, which is another adjacent wireless sensor, and the congestion degree calculation unit 30c can dynamically update the reception area 90 of each wireless sensor 80 of interest based on the received signal strength of the wireless signal that is predetermined for each wireless sensor 80 of interest.

[0078] Equation (2) expresses the maximum receiving distance d max This shows an example of how to calculate the received signal strength (RSSI) sen Based on the maximum receiving distance d max Other calculation methods may be used as long as they are designed to calculate

[0079] 10 is a diagram showing a coverage area 90 of a wireless sensor 80 of interest among a plurality of wireless sensors Sen#1 to Sen#I. max is a physical quantity that can be calculated for each adjacent wireless sensor. In the case where there are N adjacent wireless sensors (N is a positive integer), the N maximum reception distances d max In FIG. 10, an example of N=4 is shown. The maximum receiving distance d max As an example of a method for determining a valid coverage area 90 from the above, there is a method using the following equations (3.1), (3.2), and (3.3).

[0080]

number

[0081] In the expressions (3.1), (3.2), and (3.3), the coverage area 90 is expressed by a variable radius r(θ) centered on the wireless sensor 80 of interest. The expressions (3.1), (3.2), and (3.3) express the direction θ in which the wireless sensor Sen#i (i is an integer between 1 and N) adjacent to the wireless sensor 80 of interest exists. iWhen the direction θ is close to the variable, the variable radius r(θ) is the maximum reception distance d max #i is designed to take a value close to θ i The closer it is, the larger the weight w i This is based on equation (3.3), which generates a distance δ. In equation (3.3), δ is a small constant that prevents division by zero. If the maximum reception distance cannot be calculated, for example, because communication with an adjacent wireless sensor is not possible, a range that is deemed appropriate based on the specifications of the wireless sensor may be manually determined.

[0082] FIG. 11 is a diagram showing partitioning regions divided by a wireless sensor 80 of interest, an adjacent wireless sensor 81, and a non-adjacent wireless sensor 82. A partitioning region is a region determined by a geometric calculation procedure such as Voronoi division. The method for determining whether two wireless sensors are adjacent is not particularly limited, but a method using Voronoi division can be used as an example. In this method, as shown in FIG. 11, Voronoi division is performed with the position of the wireless sensor as the center of the element, a partitioning region is defined for each of a plurality of wireless sensors Sen#1 to Sen#N (N is a positive integer indicating the number of adjacent wireless sensors 81), and wireless sensors that share a boundary line of the partitioning region are treated as adjacent wireless sensors 81.

[0083] Equation (2) and equations (3.1), (3.2), and (3.3) are used to calculate the coverage area of ​​each wireless sensor. senIf is not known, calculations using these formulas cannot be performed. To prepare for such a case, a method for calculating the density of mobile wireless terminals (i.e., the degree of congestion) in a simple manner may be provided. Specifically, the number of mobile wireless terminals calculated by the congestion degree calculation unit may be corrected from changes in the received signal strength measured by each wireless sensor. During quiet times, the actual number of mobile wireless terminals, which is the number of mobile wireless terminals present around the wireless sensor, and the detected number of mobile wireless terminals, which is the number of mobile wireless terminals captured by the wireless sensor, generally match. However, during busy times, it is known that the number of mobile wireless terminals captured by the wireless sensor is less than the number of mobile wireless terminals actually present, and as a result, the average value of the received signal strength is higher than during quiet times. This is due to radio wave interference within the venue, which makes it impossible to receive low-strength signals.

[0084] By utilizing this phenomenon, when the received signal strength is stronger than during off-peak hours, a correction is made to increase the number of portable wireless terminals in accordance with the strength of the received signal, thereby making it possible to improve the accuracy of the congestion degree.

[0085] For example, there are multiple wireless sensors in the venue 9, the data receiving unit 10 of the congestion level measuring device 4 receives wireless data from the multiple wireless sensors based on a predetermined wireless signal periodically transmitted from another of the multiple wireless sensors, and the congestion level calculation unit 30c corrects the number of portable wireless terminals captured by the wireless sensors (i.e., the density of portable wireless terminals or the congestion level) based on the received signal strength of the predetermined wireless signal received by the multiple wireless sensors. For example, when the received signal strength of the predetermined wireless signal received by the multiple wireless sensors is high, the congestion level calculation unit 30c performs a correction to increase the number of portable wireless terminals captured by the wireless sensors (i.e., the density of portable wireless terminals or the congestion level) according to the level of height.

[0086] Fig. 12 is a diagram showing an example of output from the duplicate wireless terminal detection unit 32 in the form of a table. The duplicate wireless terminal detection unit 32 records the wireless sensor information received duplicately for the list of wireless terminals received by each wireless terminal, and judges whether or not to count the wireless sensor. In the example of Fig. 12, a wireless signal transmitted from a mobile wireless terminal Mov#3 as a wireless terminal is received by both the wireless sensor Sen#1 and the wireless sensor Sen#2, but since the received signal strength RSSI (-65 dBm in Fig. 12) at the wireless sensor Sen#2 is higher than the received signal strength RSSI (-73 dBm in Fig. 12) at the wireless sensor Sen#1, only the wireless sensor Sen#2 counts the mobile wireless terminal Mov#3 as a wireless terminal.

[0087] FIG. 13 is a diagram showing a counting region 92 in the calculation process of the reference congestion degree. The reference congestion degree calculation unit 33 calculates the reference congestion degree by dividing the total number of wireless terminals to be counted by the area of ​​the counting region 92 and the number of portable wireless terminals carried by each visitor. Here, the counting region 92 is an area where the receivable region 90 and the partitioning region 91 overlap. Since the number of wireless terminals carried by each visitor is usually unknown, an assumed value α (for example, a predetermined value) is applied. The partitioning region is an area determined by a geometric calculation procedure such as Voronoi division.

[0088] When a wireless sensor 80 of interest and an adjacent wireless sensor 81 receive wireless signals transmitted from overlapping wireless terminals, the congestion gradient calculation unit 34 calculates the bias in congestion (i.e., the congestion gradient) based on the ratio of the numbers of wireless terminals, and generates a congestion map taking this into consideration. First, the bias in congestion between the wireless sensor 80 of interest and one adjacent wireless sensor is calculated using the following formula (4).

[0089]

number

[0090] In equation (4), vector p i represents a direction vector from the wireless sensor 80 of interest to the adjacent wireless sensor 81 (i.e., the wireless sensor Sen#i). RR represents the coverage area 90 of the wireless sensor 80 of interest, and RR i represents the coverage area of ​​the adjacent wireless sensor Sen#i. CL represents a set of portable wireless terminals received by the wireless sensor 80 of interest, and CL i represents a set of mobile wireless terminals received by the adjacent wireless sensor Sen#i.

[0091] Also, “RR i ∩RR” is the coverage area RR i This represents the overlapping area where the coverage area RR overlaps with the coverage area RR. i ∩CL” is the set CL i represents a set of mobile wireless terminals where λ and CL overlap. area(R) is a function that returns the area of ​​region R, and count(L) is a function that returns the number of elements included in set L. CL and λ RR are positive constant terms for stabilizing the calculation results when count(CL) and area(RR) are small, respectively.

[0092] The congestion gradient vector BIAS shown on the left side of equation (4) i represents a vector in the direction of the wireless sensor Sen#i, and has a length according to the distribution bias of the portable wireless terminals.

[0093] As shown in FIG. 14, the crowding gradient vector BIAS i The length of the overlapping region “RR i When there are few mobile wireless terminals in ∩RR”, it is smaller than 0 (i.e., |BIAS i |<0), overlap region “RR i When there are many wireless terminals in ∩RR, it is greater than 0 (i.e., |BIAS i |>0). The crowding gradient vector BIAS i can be calculated for the wireless sensor 80 of interest a number of times equal to the number of adjacent wireless sensors.

[0094] Figure 15 shows the congestion gradient vector BIAS i 15 is a diagram showing an example of the calculation process of the final crowding degree gradient vector BIAS by calculating the average vector as shown in FIG. 15 and formula (5). In FIG. 15, N=4.

[0095]

number

[0096] 16 is a diagram showing an example of displaying the congestion degree. The final congestion degree gradient vector BIAS indicates the direction of change in the congestion degree in the wireless sensor 80 of interest. The congestion degree gradient vector BIAS for the adjacent wireless sensors Sen#1 to Sen#N i After calculating, as shown in Fig. 16, a display method (e.g., color, color density, brightness, movement of display area, etc.) of the divided area is determined based on the reference congestion degree and the final congestion degree gradient vector BIAS. For example, in a display image presented to visitors, a display method can be adopted in which a boundary line 83 of the detection area assigned to the wireless sensor 80 of interest and each of the adjacent wireless sensors is displayed with a line, and the density changes stepwise or continuously in the direction of the final congestion degree gradient vector BIAS (the higher the congestion degree, the higher the density). Alternatively, a display method can be adopted in which the brightness increases as the congestion degree increases, or the color changes as the congestion degree increases (the higher the congestion degree, the closer to red from blue).

[0097] In other words, the congestion degree calculation unit 30c calculates a congestion degree gradient vector BIAS i is calculated for each adjacent wireless sensor 81, and a final congestion gradient vector BIAS is calculated based on the congestion gradient vector BIASi for each adjacent wireless sensor 81. The presentation information generation unit 40c can generate presentation information such that the display state changes gradually or in stages in the direction of the final congestion gradient vector BIAS.

[0098] The gradually or stepwise changing display state includes, for example, one or more of a gradually or stepwise changing display color, a gradually or stepwise changing density, a gradually or stepwise changing brightness, a gradually or stepwise changing pattern, and a gradually or stepwise changing image movement. The gradually or stepwise changing display state may be, for example, a combination of two or more of a gradually or stepwise changing display color, a gradually or stepwise changing density, a gradually or stepwise changing brightness, a gradually or stepwise changing pattern, and a gradually or stepwise changing image movement.

[0099] In addition, the presentation information generation unit 40c can select one or more of the display color, density, brightness, pattern, and image movement of the divided areas assigned to the multiple wireless sensors as the display state that changes gradually or in stages.

[0100] Fig. 17 is a diagram showing an example of display of the congestion degree before and after blurring processing. After determining the display colors for all the segmented areas of the wireless sensors Sen#1 to Sen#N, if discontinuity of the display colors near the boundaries of the segmented areas is noticeable, blurring processing such as a Gaussian filter may be applied as shown in Fig. 17.

[0101] According to the device, system, method, and program of the fourth embodiment, it is possible to appropriately determine the wireless sensor responsible for each of the multiple areas in the venue 9, taking into consideration the attenuation rate of the received signal strength that changes dynamically due to the radio wave absorption by the human bodies of the visitors. Therefore, it is possible to improve the accuracy of measuring the degree of congestion.

[0102] Furthermore, according to the device, system, method, and program of embodiment 4, when displaying a congestion map, the display method (e.g., color, color intensity, brightness, pattern, image movement, etc.) can be gradually changed based on the congestion gradient vector BIAS calculated for each wireless sensor responsible for each area, thereby making it possible to provide visitors with appropriate congestion information. [Explanation of symbols]

[0103] 1 to 4 congestion measuring devices, 9 venue (location), 10 data receiving unit, 20, 20a, 20b visitor number calculation unit, 30, 30c congestion calculation unit, 40, 40c presentation information generation unit, 50 storage device, 60 identification information list creation unit, 70 exclusion profile list creation unit, Gst#1 to Gst#Z visitors, Sen#1 to Sen#I wireless sensors, Dev#1 to Dev#X permanent wireless terminals, Mob#1 to Mob#Y portable wireless terminals, Disp#1 to Disp#3 information presentation devices.

Claims

1. a data receiving unit that receives wireless data based on wireless signals received by one or more wireless sensors at a location set to receive visitors; a visitor number calculation unit that calculates a number of portable wireless terminals that are carried by the visitors in the venue and transmit the wireless signals, based on the wireless data or based on the wireless data and permanent wireless terminal information acquired as information related to the permanent wireless terminals that transmit the wireless signals, and calculates a visitor number that is the number of the visitors from the number of portable wireless terminals; a congestion degree calculation unit that calculates a congestion degree indicating a degree of congestion caused by the visitors at the location based on the number of visitors; having The visitor number calculation unit, acquiring a number of permanent wireless terminals, which is the number of the permanent wireless terminals, based on the wireless data received during a period when the place is not accepting visitors; acquiring a number of wireless terminals, which is the total number of the permanent wireless terminals and the portable wireless terminals, based on the wireless data received during a period in which the place is accepting the visitors; The number of portable wireless terminals is calculated by subtracting the number of permanent wireless terminals from the number of wireless terminals. A crowding measurement device characterized by:

2. a data receiving unit that receives wireless data based on wireless signals received by one or more wireless sensors at a location set to receive visitors; a visitor number calculation unit that calculates a number of portable wireless terminals that are carried by the visitors in the venue and transmit the wireless signals, based on the wireless data or based on the wireless data and permanent wireless terminal information acquired as information related to the permanent wireless terminals that transmit the wireless signals, and calculates a visitor number that is the number of the visitors from the number of portable wireless terminals; a congestion degree calculation unit that calculates a congestion degree indicating a degree of congestion caused by the visitors at the location based on the number of visitors; having an identification information list creation unit that extracts identification information for identifying the permanent wireless terminal from the wireless data received during a period when the venue is not accepting visitors, and stores an identification information list consisting of the identification information in a storage device; The visitor number calculation unit calculates the number of the portable wireless terminals based on the identification information list and the wireless data received during a period in which the visitor is accepted at the place. A crowding measurement device characterized by:

3. a data receiving unit that receives wireless data based on wireless signals received by one or more wireless sensors at a location set to receive visitors; a visitor number calculation unit that calculates a number of portable wireless terminals that are carried by the visitors in the venue and transmit the wireless signals, based on the wireless data or based on the wireless data and permanent wireless terminal information acquired as information related to the permanent wireless terminals that transmit the wireless signals, and calculates a visitor number that is the number of the visitors from the number of portable wireless terminals; a congestion degree calculation unit that calculates a congestion degree indicating a degree of congestion caused by the visitors at the location based on the number of visitors; having a exclusion profile list creation unit that acquires in advance a communication profile of the wireless signal transmitted from the permanently installed wireless terminal and stores an exclusion profile list made up of the communication profiles in a storage device; The visitor number calculation unit calculates the number of the portable wireless terminals based on the excluded profile list and the wireless data received during a period in which the visitor is accepted at the place. A crowding measurement device characterized by:

4. a data receiving unit that receives wireless data based on wireless signals received by one or more wireless sensors at a location set to receive visitors; a visitor number calculation unit that calculates a number of portable wireless terminals that are carried by the visitors in the venue and transmit the wireless signals, based on the wireless data or based on the wireless data and permanent wireless terminal information acquired as information related to the permanent wireless terminals that transmit the wireless signals, and calculates a visitor number that is the number of the visitors from the number of portable wireless terminals; a congestion degree calculation unit that calculates a congestion degree indicating a degree of congestion caused by the visitors at the location based on the number of visitors; having the one or more wireless sensors include a plurality of wireless sensors; the data receiving unit receives wireless data based on a predetermined wireless signal periodically transmitted by a wireless sensor of interest among the plurality of wireless sensors, The congestion degree calculation unit dynamically updates a coverage area for each of the wireless sensors of interest based on a received signal strength of the predetermined wireless signal for each of the wireless sensors of interest. A crowding measurement device characterized by:

5. a data receiving unit that receives wireless data based on wireless signals received by one or more wireless sensors at a location set to receive visitors; a visitor number calculation unit that calculates a number of portable wireless terminals that are carried by the visitors in the venue and transmit the wireless signals, based on the wireless data or based on the wireless data and permanent wireless terminal information acquired as information related to the permanent wireless terminals that transmit the wireless signals, and calculates a visitor number that is the number of the visitors from the number of portable wireless terminals; a congestion degree calculation unit that calculates a congestion degree indicating a degree of congestion caused by the visitors at the location based on the number of visitors; having the one or more wireless sensors include a plurality of wireless sensors; the data receiving unit receives wireless data based on a predetermined wireless signal periodically transmitted by each of the plurality of wireless sensors from another of the plurality of wireless sensors; The congestion degree calculation unit corrects the congestion degree based on received signal strengths of the predetermined wireless signals received by the plurality of wireless sensors. A crowding measurement device characterized by:

6. The congestion degree calculation unit performs a correction to increase the congestion degree when the received signal strength of the predetermined wireless signal received by the plurality of wireless sensors is high.

6. The congestion level measuring device according to claim 5,

7. a data receiving unit that receives wireless data based on wireless signals received by one or more wireless sensors at a location set to receive visitors; a visitor number calculation unit that calculates a number of portable wireless terminals that are carried by the visitors in the venue and transmit the wireless signals, based on the wireless data or based on the wireless data and permanent wireless terminal information acquired as information related to the permanent wireless terminals that transmit the wireless signals, and calculates a visitor number that is the number of the visitors from the number of portable wireless terminals; a congestion degree calculation unit that calculates a congestion degree indicating a degree of congestion caused by the visitors at the location based on the number of visitors; having The display device further includes a presentation information generating unit, the one or more wireless sensors include a plurality of wireless sensors; The congestion degree calculation unit calculating a congestion gradient vector, which is a gradient of a congestion degree in a direction connecting a wireless sensor of interest among the plurality of wireless sensors and a wireless sensor adjacent to the wireless sensor of interest, for each of the adjacent wireless sensors; calculating a final congestion gradient vector based on the congestion gradient vectors for each of the adjacent wireless sensors; The presentation information generation unit generates the presentation information such that a display state changes gradually or stepwise in a direction of the final crowding degree gradient vector. A crowding measurement device characterized by:

8. The display device further includes a presentation information generating unit, The congestion degree calculation unit calculating a congestion gradient vector, which is a gradient of a congestion degree in a direction connecting a wireless sensor of interest among the plurality of wireless sensors and a wireless sensor adjacent to the wireless sensor of interest, for each of the adjacent wireless sensors; calculating a final congestion gradient vector based on the congestion gradient vectors for each of the adjacent wireless sensors; The presentation information generation unit generates the presentation information such that a display state changes gradually or stepwise in a direction of the final crowding degree gradient vector.

5. The congestion level measuring device according to claim 4.

9. The display device further includes a presentation information generating unit, The congestion degree calculation unit calculating a congestion gradient vector, which is a gradient of a congestion degree in a direction connecting a wireless sensor of interest among the plurality of wireless sensors and a wireless sensor adjacent to the wireless sensor of interest, for each of the adjacent wireless sensors; calculating a final congestion gradient vector based on the congestion gradient vectors for each of the adjacent wireless sensors; The presentation information generation unit generates the presentation information such that a display state changes gradually or stepwise in a direction of the final crowding degree gradient vector.

7. The congestion level measuring device according to claim 6,

10. The display state includes one or more of a display color, a density, a brightness, a pattern, and a motion of an image. The congestion level measuring device according to any one of claims 7 to 9.

11. The display state includes at least one of a display color, a density, a brightness, a pattern, and a motion of an image of the divided area assigned to the plurality of wireless sensors. The congestion level measuring device according to any one of claims 7 to 9.

12. one or more wireless sensors; a data receiving unit that receives wireless data based on the wireless signals received by the one or more wireless sensors at a location set to receive visitors; a visitor number calculation unit that calculates a number of portable wireless terminals that are carried by the visitors in the venue and transmit the wireless signals, based on the wireless data or based on the wireless data and permanent wireless terminal information acquired as information related to the permanent wireless terminals that transmit the wireless signals, and calculates a visitor number that is the number of the visitors from the number of portable wireless terminals; a congestion degree calculation unit that calculates a congestion degree indicating a degree of congestion caused by the visitors at the location based on the number of visitors; having The visitor number calculation unit, acquiring a number of permanent wireless terminals, which is the number of the permanent wireless terminals, based on the wireless data received during a period when the place is not accepting visitors; acquiring a number of wireless terminals, which is the total number of the permanent wireless terminals and the portable wireless terminals, based on the wireless data received during a period in which the place is accepting the visitors; The number of portable wireless terminals is calculated by subtracting the number of permanent wireless terminals from the number of wireless terminals. A congestion measurement system characterized by the above.

13. A congestion degree measuring method performed by a congestion degree measuring device, comprising: receiving wireless data based on wireless signals received by one or more wireless sensors at a location configured to receive visitors; a step of calculating the number of portable wireless terminals that are carried by the visitors in the venue and transmit the wireless signals, based on the wireless data or based on the wireless data and permanent wireless terminal information acquired as information related to the permanent wireless terminals that transmit the wireless signals, and calculating the number of visitors that is the number of the visitors from the number of portable wireless terminals; Calculating a congestion degree indicating a degree of congestion caused by the visitors at the location based on the number of visitors; having In the step of calculating the number of visitors, acquiring a number of permanent wireless terminals, which is the number of the permanent wireless terminals, based on the wireless data received during a period when the place is not accepting visitors; acquiring a number of wireless terminals, which is the total number of the permanent wireless terminals and the portable wireless terminals, based on the wireless data received during a period in which the place is accepting the visitors; The number of portable wireless terminals is calculated by subtracting the number of permanent wireless terminals from the number of wireless terminals. A congestion measurement method comprising:

14. receiving wireless data based on wireless signals received by one or more wireless sensors at a location configured to receive visitors; a step of calculating the number of portable wireless terminals that are carried by the visitors in the venue and transmit the wireless signals, based on the wireless data or based on the wireless data and permanent wireless terminal information acquired as information related to the permanent wireless terminals that transmit the wireless signals, and calculating the number of visitors that is the number of the visitors from the number of portable wireless terminals; Calculating a congestion degree indicating a degree of congestion caused by the visitors at the location based on the number of visitors; A crowding degree measurement program that causes a computer to execute the following: In the step of calculating the number of visitors, acquiring a number of permanent wireless terminals, which is the number of the permanent wireless terminals, based on the wireless data received during a period when the place is not accepting visitors; acquiring a number of wireless terminals, which is the total number of the permanent wireless terminals and the portable wireless terminals, based on the wireless data received during a period in which the place is accepting the visitors; The number of portable wireless terminals is calculated by subtracting the number of permanent wireless terminals from the number of wireless terminals. A congestion measurement program comprising:

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