JP7619183B2 - Admission restriction system and admission restriction method - Google Patents

Description

The present invention relates to an admission control system and an admission control method.

In recent years, there has been progress in the development of systems for monitoring people entering and exiting each section in buildings with multiple sections, such as office buildings and commercial facilities. In addition, there is a need for systems that prevent overcrowding in each section, with the aim of preventing infectious diseases, etc. Patent Document 1 discloses technology related to a surveillance system that can efficiently monitor with a small number of cameras depending on the congestion level in the monitored area.

JP 2012-69022 A

As mentioned above, in recent years, there has been a demand for a system that prevents overcrowding in each section, for the purpose of infection prevention measures, etc. For example, by using a camera to monitor the condition of each section, it is possible to monitor whether or not there is overcrowding in each section.

However, cameras have blind spots, so multiple cameras must be installed in one area to avoid blind spots. When multiple cameras are installed in one area, the number of cameras increases, which creates a problem of increased costs for constructing the entrance restriction system.

In view of the above problems, the object of the present invention is to provide an entrance restriction system and an entrance restriction method that can restrict people from entering an overcrowded area at low cost.

The entrance restriction system according to one aspect of the present invention includes a plurality of floor sensors provided at each entrance of a plurality of sections to detect the feet of people passing through each of the entrances; a number of people calculation unit that calculates the number of people in each of the plurality of sections using information about the feet of the people detected by the plurality of floor sensors; an overcrowding state determination unit that determines whether each of the sections is overcrowded based on the number of people in each of the sections calculated by the number of people calculation unit; and an entrance restriction unit that restricts entry to the overcrowded section determined to be overcrowded when the overcrowding state determination unit determines that the section is overcrowded.

The entrance restriction method according to one aspect of the present invention includes the steps of: detecting the feet of people passing through each of the entrances of a plurality of sections using a plurality of floor sensors provided at each of the entrances; calculating the number of people in each of the plurality of sections using information about the feet of the people detected by the plurality of floor sensors; determining whether each of the sections is overcrowded based on the calculated number of people in each of the sections; and, if it is determined that the section is overcrowded, restricting entry to the section determined to be overcrowded.

The present invention provides an entrance restriction system and an entrance restriction method that can restrict people from entering an overcrowded area at low cost.

FIG. 1 is a block diagram for explaining an entrance restriction system according to an embodiment. FIG. 1 is a diagram for explaining an example of installation of an admission control system according to an embodiment. 11A and 11B are diagrams for explaining a detection example of a floor sensor. 4 is a table for explaining the operation of the entrance restriction system according to the embodiment. 4 is a flowchart for explaining the operation of the entrance restriction system according to the embodiment. FIG. 11 is a diagram for explaining another installation example of the admission control system according to the embodiment. FIG. 11 is a diagram for explaining another installation example of the admission control system according to the embodiment. FIG. 11 is a block diagram for explaining another configuration example of the entrance restriction system according to the embodiment.

Hereinafter, an embodiment of the present invention will be described with reference to the drawings.
1 is a block diagram for explaining an entrance restriction system according to an embodiment. As shown in FIG. 1, the entrance restriction system 1 according to the embodiment includes a plurality of floor sensors 11a, 11b, and 11c, a number of people calculation unit 12, an overcrowding state determination unit 13, and an entrance restriction unit 14.

Figure 2 is a diagram for explaining an example of the installation of an admission control system according to an embodiment. As shown in Figure 2, the admission control system according to this embodiment is a system that is installed in multiple sections 20a to 20c and restricts people from entering sections that are overcrowded among the multiple sections 20a to 20c.

As shown in FIG. 2, doors 21a, 21b, and 21c are provided at the entrances of each of the compartments 20a, 20b, and 20c. In addition, floor sensors 11a, 11b, and 11c are provided at the entrances of each of the compartments 20a, 20b, and 20c. When a person enters each of the compartments 20a, 20b, and 20c, the person passes over the floor sensors 11a, 11b, and 11c to enter each of the compartments 20a, 20b, and 20c. Similarly, when a person exits each of the compartments 20a, 20b, and 20c, the person exits each of the compartments 20a, 20b, and 20c by passing over the floor sensors 11a, 11b, and 11c.

Floor sensors 11a, 11b, and 11c are configured to detect the feet of a person passing through the entrances and exits of each of compartments 20a, 20b, and 20c. In this specification, floor sensors 11a, 11b, and 11c are collectively referred to as floor sensor 11.

The floor sensor 11 can be configured, for example, using a sensor panel in which multiple detection cells that detect load are arranged in a matrix in the row and column directions. Such a sensor panel is disclosed in JP 2019-060622 A. In addition, the floor sensor 11 may be a pressure-sensitive sheet using a piezoelectric element or a capacitance sensor using a capacitance detection element.

Figure 3 is a diagram for explaining an example of detection by a floor sensor. In this embodiment, the floor sensor 11 is configured to be able to detect the moving direction of a person who has passed the floor sensor 11. As shown in Figure 3, when determining the moving direction of a person using the floor sensor 11, data of two feet whose distance from each other is within a predetermined range is grouped, and the moving direction of the person can be determined by continuously tracking the feet of the grouped people. For example, as shown in Figure 3, the grouped foot data 31_1 and the grouped foot data 31_2 move in the direction of entry over time, so it can be determined that the people corresponding to the foot data 31_1 and 31_2 are moving in the direction of entry. On the other hand, the grouped foot data 32_1 and the grouped foot data 32_2 move in the direction of exit over time, so it can be determined that the people corresponding to the foot data 32_1 and 32_2 are moving in the direction of exit.

In addition, in this embodiment, the direction of movement of the person may be determined using the direction of movement of the center of gravity of the person's foot when the floor sensor 11 detects the person's foot. In other words, when a person walks, the person's foot touches the floor in the order of heel to toe, and the direction of movement of the center of gravity of the foot at this time may be detected by the floor sensor 11 to determine the direction of movement of the person. Information regarding the person's feet detected by each of the floor sensors 11a, 11b, and 11c is supplied to the number of people calculation unit 12.

The number of people calculation unit 12 shown in FIG. 1 calculates the number of people staying in each of the sections 20a, 20b, and 20c using information about people's feet detected by the floor sensors 11a, 11b, and 11c.

For example, if the feet of a person detected by the floor sensor 11 in section 20a are moving over time in the direction of entry, the number of people calculation unit 12 determines that a person has entered section 20a and adds 1 to the number of people staying in section 20a. On the other hand, if the feet of a person detected by the floor sensor 11 in section 20a are moving over time in the direction of exit, the number of people calculation unit 12 determines that a person has left section 20a and subtracts 1 from the number of people staying in section 20a.

By using information about the feet of people detected by each of the floor sensors 11a, 11b, and 11c in this manner, the number of people calculation unit 12 can calculate the number of people (number of people staying) staying in each of the sections 20a, 20b, and 20c.

The overcrowding state determination unit 13 determines whether each of the sections 20a, 20b, 20c is overcrowded or not based on the number of people staying in each of the sections 20a, 20b, 20c (number of visitors) calculated by the number of people calculation unit 12. For example, when the number of people staying in each of the sections 20a, 20b, 20c is equal to or greater than a threshold number of visitors set for each of the sections 20a, 20b, 20c, the overcrowding state determination unit 13 may determine that the section in which the number of people staying in the section exceeds the threshold is overcrowded.

The threshold number of visitors may be set based on the size of each of the sections 20a, 20b, and 20c. The size of each of the sections 20a, 20b, and 20c may be, for example, the floor area or volume of each section. In the example shown in FIG. 2, the sections are larger in the order of section 20c, section 20a, and section 20b, so the threshold number of visitors may be set to be larger in the order of section 20c, section 20a, and section 20b. For example, as shown in the table in FIG. 4, the threshold number of visitors for section A (20a) is set to 6 people, the threshold number of visitors for section B (20b) is set to 10 people, and the threshold number of visitors for section C (20c) is set to 4 people, so that the threshold number of visitors can be set according to the size of each of the sections 20a, 20b, and 20c.

In the example shown in the table of FIG. 4, the number of visitors in section A (20a) is three, which is less than the threshold number of visitors in section A (20a) (six), so the overcrowding state determination unit 13 determines that section A (20a) is not overcrowded. The number of visitors in section B (20b) is eight, which is less than the threshold number of visitors in section B (20b) (ten), so the overcrowding state determination unit 13 determines that section B (20b) is not overcrowded. On the other hand, the number of visitors in section C (20c) is four, which is greater than or equal to the threshold number of visitors in section C (20c) (four) (in this case, the number of visitors and the threshold are the same value), so the overcrowding state determination unit 13 determines that section C (20c) is overcrowded. In addition, the overcrowding determination unit 13 also determines that section C (20c) is overcrowded if the number of people in section C (20c) exceeds the threshold value (four people) (for example, if more people enter section C (20c) after determining that section C is overcrowded).

In this embodiment, a threshold for the number of visitors may be set so that the value obtained by dividing the floor area of each section by the number of visitors (the area occupied by one person) is equal to or greater than a predetermined value (for example, the area of a circle with a radius of 2 m: 2 ² × 3.14 = 12.6 ^{m 2} ).

In this embodiment, the threshold number of visitors may be set based on the number of facilities specific to each section 20a, 20b, 20c. Here, the specific facilities include ashtrays in smoking areas, the number of toilets in restrooms, the number of chairs installed in a section, the number of ATMs in a bank, etc. For example, the threshold number of visitors can be set based on the number of people who can use ashtrays in smoking areas, the number of toilets in restrooms, the number of chairs installed in a section, the number of ATMs in a bank, etc. For example, the threshold number of visitors may be set to "number of people who can use one facility at the same time x number of facilities".

In this embodiment, the threshold for the number of people staying in the area may be set based on the ventilation volume of each of the sections 20a, 20b, and 20c. Here, the ventilation volume can be calculated using a value calculated using the number of windows, the area of the windows, and the time the windows are open in each of the sections 20a, 20b, and 20c, a value calculated using the number of doors, the area of the doors, and the time the doors are open, the presence or absence of a ventilation fan, the ventilation volume of the ventilation fan, etc. Considering infection prevention measures, for example, the threshold for the number of people staying in the area can be set higher for a section with a higher ventilation volume.

The entry restriction unit 14 shown in FIG. 1 restricts entry to the section determined to be overcrowded (hereinafter also referred to as the overcrowded section) when the overcrowding state determination unit 13 determines that the section is overcrowded. For example, the entry restriction unit 14 may be configured using a display, and entry to the overcrowded section may be restricted by displaying on the display that the overcrowded section is overcrowded.

For example, as shown in FIG. 2, by installing displays (entry restriction units) 14a, 14b, and 14c near the entrances of each of the sections 20a, 20b, and 20c, respectively, it is possible to inform a person attempting to enter an overcrowded section that the section they are attempting to enter is overcrowded. At this time, entry to the overcrowded section may be restricted by displaying on the display (entry restriction unit) 14 of the overcrowded section a guide to sections other than the overcrowded section.

For example, in the case shown in the table of FIG. 4, since section C (20c) is an overcrowded section, a display 14c installed near the entrance of section C (20c) may display a message indicating that section C (20c) is overcrowded. Also, at this time, directions to other sections, section A (20a) and section B (20b), may be displayed on the display 14c of section C (20c). This makes it possible to guide people attempting to enter section C (20c), which is an overcrowded section, to other sections, section A (20a) and section B (20b).

In this embodiment, the entry restriction unit 14 may be configured using a single display. That is, a single display may be installed in a location visible from the entrance of each of the sections 20a, 20b, and 20c, and may inform a person attempting to enter an overcrowded section that the section they are attempting to enter is overcrowded. In this case, too, entry to the overcrowded section may be restricted by displaying on the display (entry restriction unit) 14 guidance to sections other than the overcrowded section.

In this embodiment, the entry restriction unit 14 may be configured using a speaker. In this case, entry to the overcrowded area may be restricted by outputting a sound from the speaker to inform the user that the overcrowded area is in an overcrowded state.

In this embodiment, the entry restriction unit 14 may be configured using a projector. In this case, the projector may be used to restrict entry to an overcrowded area by projecting a message onto the floor indicating that the overcrowded area is overcrowded. Also, the floor itself may be configured to emit light without using a projector.

In this embodiment, the entrance restriction unit 14 may be configured using a mobile terminal. In this case, a guide to areas other than the overcrowded area may be displayed on the display of the mobile terminal carried by each user. This makes it possible to restrict the entry of users carrying mobile terminals into the overcrowded area.

Next, the operation of the admission control system (admission control method) according to this embodiment will be described. Figure 5 is a flowchart for explaining the operation of the admission control system according to this embodiment.

First, floor sensors 11a, 11b, and 11c installed at the entrances of each of the multiple sections 20a, 20b, and 20c are used to detect the feet of people passing through each entrance (step S1). Next, the number of people calculation unit 12 uses information about the feet of people detected by the multiple floor sensors 11a, 11b, and 11c to calculate the number of people staying in each of the multiple sections 20a, 20b, and 20c (step S2).

Next, the overcrowding state determination unit 13 determines whether each of the sections 20a, 20b, 20c is overcrowded or not based on the number of people (number of people staying) staying in each of the sections 20a, 20b, 20c calculated by the number of people calculation unit 12 (step S3). If the overcrowding state determination unit 13 does not determine that the section is overcrowded (step S4: No), the operations from step S1 onwards are repeated.

On the other hand, if the overcrowding state determination unit 13 determines that the area is overcrowded (step S4: Yes), the entry restriction unit 14 restricts entry to the overcrowded area determined to be overcrowded (step S5). For example, the entry restriction unit 14 may restrict entry to the overcrowded area by displaying on a display that the overcrowded area is overcrowded. Then, the operations from step S1 onwards are repeated. Note that the details of the operation of the entry restriction system have been described above and will not be explained here.

As mentioned above, in recent years, there has been a demand for a system that prevents overcrowding in each section, for the purpose of infection prevention measures, etc. For example, by using a camera to monitor the condition of each section, it is possible to monitor whether or not there is overcrowding in each section.

However, cameras have blind spots, so multiple cameras must be installed in one area to avoid blind spots. In this way, installing multiple cameras in one area increases the number of cameras to be installed, which creates a problem in that the cost of configuring the entrance restriction system increases.

In contrast, the invention according to this embodiment uses multiple floor sensors installed at the entrances of each of the multiple sections to detect the feet of people passing through each entrance, and calculates the number of people in each of the multiple sections using information about the detected feet of people. Then, based on the calculated number of people in each section, it is determined whether each section is overcrowded, and if it is determined that the section is overcrowded, entry to the section determined to be overcrowded is restricted.

In this way, the invention according to this embodiment uses floor sensors installed at the entrances and exits of each section to calculate the number of people in each section. Therefore, since the number of people in each section can be calculated without using a camera, an admission control system can be realized at low cost. Therefore, the invention according to this embodiment can provide an admission control system and admission control method that can restrict people from entering overcrowded sections at low cost.

Next, we will explain other configuration examples of the entrance restriction system according to this embodiment.

In this embodiment, the overcrowding state determination unit 13 may set multiple thresholds to determine whether or not the state is overcrowded. For example, the thresholds may be set in stages, such as a first threshold and a second threshold, and if the first threshold is not exceeded, it may be determined that there is room or that the state is empty, if the first threshold is exceeded but the second threshold is not exceeded, it may be determined that the state is crowded or that a warning is required, and if the second threshold is exceeded, it may be determined that the state is overcrowded and that entry restrictions should be implemented.

In addition, in this embodiment, a gas sensor may be further provided to measure the carbon dioxide concentration in each of the sections 20a, 20b, and 20c. When there is a section in which the carbon dioxide concentration measured by the gas sensor is equal to or higher than a predetermined threshold, the overcrowding determination unit 13 may determine that the section in which the carbon dioxide concentration is equal to or higher than the threshold is overcrowded, regardless of the number of people calculated by the number of people calculation unit 12.

The carbon dioxide concentration can be used as an indicator of the ventilation state in each of the sections 20a, 20b, and 20c. For example, in a section with poor ventilation, the carbon dioxide concentration increases as the time that visitors stay there increases. This situation is undesirable from the perspective of infection prevention measures, etc. Therefore, if there is a section where the carbon dioxide concentration measured by the gas sensor is equal to or higher than a predetermined threshold, the overcrowding determination unit 13 determines that the section where the carbon dioxide concentration is equal to or higher than the threshold is overcrowded.

In addition, in this embodiment, the number of people calculation unit 12 may further calculate the cumulative stay time of people staying in each of the sections 20a, 20b, and 20c. When there is a section in which the calculated cumulative stay time is equal to or greater than a predetermined threshold, the overcrowding state determination unit 13 may determine that the section in which the calculated cumulative stay time is equal to or greater than a predetermined threshold is in an overcrowded state, regardless of the number of people calculated by the number of people calculation unit 12.

In other words, if the cumulative stay time of people staying in a specific section is long, it is assumed that the ventilation condition of that section is not good. Such a situation is undesirable from the perspective of infectious disease prevention measures, etc. Therefore, if there is a section where the cumulative stay time is equal to or exceeds a predetermined threshold, the overcrowding determination unit 13 may determine that the section where the cumulative stay time is equal to or exceeds the threshold is in an overcrowded state.

In addition, in this embodiment, when the number of people who are not taking infection prevention measures reaches a certain number, entry restrictions may be implemented or ventilation may be implemented. Whether infection prevention measures are being taken or not can be detected, for example, using the following method.

If a disinfection device is installed at the entrance to each of the sections 20a, 20b, and 20c, the time that a person stays in front of the disinfection device can be detected using each floor sensor 11a, 11b, and 11c, making it possible to detect whether or not infection prevention measures (disinfection) have been implemented. For example, if a person attempting to enter stays in front of the disinfection device for a predetermined period of time or longer, it can be determined that disinfection (infection prevention measures) has been implemented. In this case, it is also possible to detect whether or not infection prevention measures (disinfection) have been implemented based on whether or not the disinfection device was activated at the time of entry.

In addition, if a temperature measuring device is installed at the entrance to each of the sections 20a, 20b, and 20c, the time that a person stays in front of the temperature measuring device can be detected using each floor sensor 11a, 11b, and 11c to detect whether or not an infection prevention measure (temperature measurement) has been taken. For example, if a person attempting to enter stays in front of the temperature measuring device for a predetermined period of time or longer, it can be determined that a temperature measurement (infection prevention measure) has been taken. In this case, whether or not an infection prevention measure (temperature measurement) has been taken can also be detected based on whether or not the temperature measuring device was activated at the time of entry.

In this embodiment, the overcrowding determination unit 13 may predict the number of people in each of the sections 20a, 20b, 20c using the change in the number of people (number of visitors) staying in each of the sections 20a, 20b, 20c calculated by the number of people calculation unit 12, and may determine whether each of the sections 20a, 20b, 20c is overcrowded based on the prediction result. For example, the overcrowding determination unit 13 may predict the number of people staying in each of the sections 20a, 20b, 20c in association with the time period, day of the week, date, weather, etc.

Also, FIG. 2 shows an example in which floor sensors 11a, 11b, and 11c are provided inside each of compartments 20a, 20b, and 20c. However, in this embodiment, the locations where floor sensors 11a, 11b, and 11c are provided are not particularly limited as long as they are capable of detecting the feet of people passing through the entrances and exits of each of compartments 20a, 20b, and 20c. For example, as shown in FIG. 6, floor sensor 41 may be provided both inside and outside compartment 20 with door 21 as the reference, or may be provided only outside compartment 20 with door 21 as the reference. That is, in this embodiment, floor sensor 41 may be provided at least on either the inside or outside of compartment 20 with door 21 as the reference.

In this embodiment, as shown in FIG. 7, the compartment 20 may have multiple entrances. For example, at least one of the compartments 20a, 20b, and 20c shown in FIG. 2 may have multiple entrances.

As shown in FIG. 7, doors 22 and 23 are provided at each of the multiple entrances. Floor sensors 42 and 43 are provided at each of the multiple entrances of the section 20. In this case, the entrance where door 22 is provided may be used exclusively as an entrance, and the entrance where door 23 is provided may be used exclusively as an exit. Conversely, the entrance where door 23 is provided may be used exclusively as an entrance, and the entrance where door 22 is provided may be used exclusively as an exit. In this way, when an entrance where only an entrance is provided and an entrance where only an exit is provided are provided, it is only necessary to detect the number of people passing over the floor sensors 42 and 43, and there is no need to detect the direction of people's movement, so the configuration of the number of people calculation unit 12 can be simplified.

Also, one floor sensor may be divided, and the entrance and exit paths (travel directions) may be determined on one floor sensor. For example, the floor sensor 11 shown in FIG. 3 may be divided in the center, and the floor sensor on the left side may be used to detect entrances, and the floor sensor on the right side may be used to detect exits. With such a configuration, the configuration of the number of people calculation unit 12 may be simplified.

In this embodiment, as shown in FIG. 8, a configuration including a floor sensor 11, a number of people calculation unit 12, an overcrowding state determination unit 13, and an entry restriction unit 14 may be configured as one unit, and these units 50_1 to 50_n may be installed in each section. In this case, by managing each unit 50_1 to 50_n with the management unit 60, the determination result of the overcrowding state in each section can be shared between each unit 50_1 to 50_n.

In addition, in the entrance restriction system shown in FIG. 8, the floor sensor 11 provided in each of the units 50_1 to 50_n may be configured with multiple floor sensors (see FIG. 1). For example, by installing one unit 50 in one building and arranging floor sensors in each of multiple sections provided in the building, it is possible to collectively manage the overcrowding state of multiple sections provided in multiple buildings. For example, the management unit 60 can remotely manage each of the units 50_1 to 50_n.

In addition, in this embodiment, an example is described in which there are three compartments 20a, 20b, and 20c, but the invention according to this embodiment can be applied to a configuration having two or more compartments, and the number of compartments is not particularly limited.

The invention according to this embodiment can be applied to buildings having multiple compartments (rooms, stores, etc.), such as office buildings and commercial facilities. However, the invention according to this embodiment can be applied to a variety of buildings, facilities, etc. that have multiple compartments.

As described above, the present invention uses floor sensors, so the number of people in each section can be calculated without using cameras. However, in the present invention, cameras may be installed in each section as necessary. For example, cameras may be installed to monitor the status of people in the section, or cameras may be installed as an auxiliary means (i.e., to the extent that costs do not increase significantly) and the number of people in each section may be calculated using information from the floor sensors and cameras.

The present invention has been described above in accordance with the above embodiment, but the present invention is not limited to the configuration of the above embodiment, and of course includes various modifications, alterations, and combinations that a person skilled in the art could make within the scope of the invention of the claims of this patent application.

1 Entry restriction system 11, 11a, 11b, 11c Floor sensor 12 Number of people calculation unit 13 Overcrowding state determination unit 14, 14a, 14b, 14c Entry restriction unit 20, 20a, 20b, 20c Section 21, 21a, 21b, 21c Door 22, 23 Door 31_1, 31_2, 32_1, 32_2 Foot data 41, 42, 43 Floor sensor 50_1 to 50_n Unit

Claims (13)

A plurality of floor sensors are provided at entrances of the plurality of compartments, each of which detects the feet of a person passing through the entrance;
a number of people calculation unit that calculates the number of people staying in each of the plurality of sections using information about the feet of the people detected by the plurality of floor sensors;
an overcrowding state determination unit that determines whether each of the sections is in an overcrowded state based on the number of people staying in each of the sections calculated by the number of people calculation unit;
an entry restriction unit that restricts entry to an overcrowded section determined to be in an overcrowded state when the overcrowded state determination unit determines that the overcrowded state is present ;
the entry restriction unit is configured using a display, and restricts entry to the overcrowded section by displaying on the display that the overcrowded section is in an overcrowded state;
Admission restriction system. A plurality of floor sensors are provided at entrances of the plurality of compartments, each of which detects the feet of a person passing through the entrance;
a number of people calculation unit that calculates the number of people staying in each of the plurality of sections using information about the feet of the people detected by the plurality of floor sensors;
an overcrowding state determination unit that determines whether each of the sections is in an overcrowded state based on the number of people staying in each of the sections calculated by the number of people calculation unit;
an entry restriction unit that restricts entry to an overcrowded section determined to be in an overcrowded state when the overcrowded state determination unit determines that the overcrowded state is present ;
the entry restriction unit is configured using a display, and restricts entry to the overcrowded area by displaying on the display a guide to an area other than the overcrowded area;
Admission restriction system. A plurality of floor sensors are provided at entrances of the plurality of compartments, each of which detects the feet of a person passing through the entrance;
a number of people calculation unit that calculates the number of people staying in each of the plurality of sections using information about the feet of the people detected by the plurality of floor sensors;
an overcrowding state determination unit that determines whether each of the sections is in an overcrowded state based on the number of people staying in each of the sections calculated by the number of people calculation unit;
an entry restriction unit that restricts entry to an overcrowded section determined to be in an overcrowded state when the overcrowded state determination unit determines that the overcrowded state is present ;
the entry restriction unit is configured with a mobile terminal, and restricts entry to the overcrowded area by displaying a guide to an area other than the overcrowded area on a display of the mobile terminal;
Admission restriction system. The admission control system according to any one of claims 1 to 3, wherein the overcrowding determination unit determines that a section where the number of people staying in each section exceeds a threshold value for the number of people staying in each section is overcrowded when the number of people staying in each section exceeds the threshold value. The admission control system according to claim 4 , wherein the threshold number of visitors is set based on the size of each of the sections. The admission control system according to claim 4 or 5 , wherein the threshold number of occupants is set based on the number of facilities specific to each of the zones. The entrance restriction system according to claim 4 , wherein the threshold value of the number of occupants is set based on the ventilation volume of each of the sections. Further comprising a gas sensor for measuring a carbon dioxide concentration in each of the compartments;
When there is a section in which the carbon dioxide concentration measured by the gas sensor is equal to or higher than a predetermined threshold, the overcrowding state determination unit determines that the section in which the carbon dioxide concentration is equal to or higher than the threshold is overcrowded, regardless of the number of people calculated by the number of people calculation unit.
The admission control system according to any one of claims 1 to 7 . The number of people calculation unit further calculates an integrated stay time of people staying in each of the sections,
When there is a section in which the calculated accumulated stay time is equal to or greater than a predetermined threshold, the overcrowding state determination unit determines that the section in which the accumulated stay time is equal to or greater than the threshold is in an overcrowded state, regardless of the number of people calculated by the number of people calculation unit.
The admission control system according to any one of claims 1 to 8 . At least one of the compartments has a plurality of entrances and exits;
The floor sensor is provided at each of the plurality of entrances of the compartment.
The admission control system according to any one of claims 1 to 9 . detecting the feet of a person passing through each of the entrances of the plurality of compartments using a plurality of floor sensors provided at each of the entrances of the plurality of compartments;
Calculating the number of people staying in each of the plurality of sections using information about the feet of the people detected by the plurality of floor sensors;
determining whether each of the sections is overcrowded based on the calculated number of people staying in each of the sections;
If it is determined that an overcrowded state exists, restricting entry to the overcrowded section determined to be in the overcrowded state ;
The step of restricting entry includes restricting entry to the overcrowded section by displaying on a display that the overcrowded section is in an overcrowded state.
Admission restriction method. detecting the feet of a person passing through each of the entrances of the plurality of compartments using a plurality of floor sensors provided at each of the entrances of the plurality of compartments;
Calculating the number of people staying in each of the plurality of sections using information about the feet of the people detected by the plurality of floor sensors;
determining whether each of the sections is overcrowded based on the calculated number of people staying in each of the sections;
If it is determined that an overcrowded state exists, restricting entry to the overcrowded section determined to be in the overcrowded state ;
The step of restricting entry includes restricting entry to the overcrowded area by displaying a guide to an area other than the overcrowded area on a display.
Admission restriction method. detecting the feet of a person passing through each of the entrances of the plurality of compartments using a plurality of floor sensors provided at each of the entrances of the plurality of compartments;
Calculating the number of people staying in each of the plurality of sections using information about the feet of the people detected by the plurality of floor sensors;
determining whether each of the sections is overcrowded based on the calculated number of people staying in each of the sections;
If it is determined that an overcrowded state exists, restricting entry to the overcrowded section determined to be in the overcrowded state ;
The step of restricting entry includes restricting entry to the overcrowded area by displaying a guide to an area other than the overcrowded area on a display of a mobile terminal.
Admission restriction method.

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