JP7273770B2 - Information processing system and information terminal and information processing device used therefor - Google Patents

Description

The present invention relates to an information processing system that presents a route that tours a plurality of places.

For example, Japanese Patent Laid-Open No. 2002-200002 discloses a technology that assists a user in visiting places including a plurality of destinations. Patent Literature 1 relates to a system for routing based on congestion patterns and movements, in which an image system calculates the degree of congestion in different parts of a shopping center, the speed and direction of movement of shoppers, and the length of queues, The point is to suggest a route that minimizes the cost of passing through a series of destinations.

Japanese Patent Publication No. 2004-534999

As an example of countermeasures against infectious diseases such as colds, seasonal influenza, and the new coronavirus, it is effective to avoid crowded places where people gather closely. For example, in facilities where many people gather, such as department stores and shopping malls, measures to prevent congestion are particularly necessary depending on the outbreak of infectious diseases.

Here, for example, it may not be easy for users who use department stores, shopping malls, etc., to grasp in advance the stores they want to visit and the time slots they will use, and take measures to prevent congestion. In addition, effective measures to prevent infection are required on the facility side and store side in order to provide a safe and comfortable environment.

Although Patent Document 1 considers the degree of congestion in route search, it does not describe countermeasures against infectious diseases and does not consider the viewpoint of avoiding places with a high probability of infection.

SUMMARY OF THE INVENTION It is an object of the present invention to provide an information processing system and an information terminal used therein that presents a user with a patrol route capable of preventing infection or reducing the probability of infection.

To give an example, the present invention is an information processing system that includes a storage device that stores information on the locations of a plurality of stores and information on the congestion status of a plurality of stores, and from each of a plurality of users, A patrol route is created for each user based on an information terminal that accepts selection of at least a portion of a plurality of stores, information on at least the location of the selected store, and information on the congestion status of the selected store. and the information processing device selects the store exceeding the predetermined standard during the predetermined time period when the congestion status of the selected store exceeds the predetermined standard during the predetermined time period. For a plurality of users, patrol routes are created so that the visiting times of stores exceeding a predetermined criterion are distributed.

According to the present invention, it is possible to provide an information processing system, an information terminal, and an information processing apparatus that present a route that can prevent infection or reduce the probability of infection even in a facility where many people can gather.

1 is a configuration diagram of an information processing system in Example 1. FIG. 4 is a diagram showing store location information in Example 1. FIG. 4 is a diagram showing store congestion information in Example 1. FIG. 3 is a three-dimensional image diagram of map information in Example 1. FIG. 4 is a plane image diagram of map information in Example 1. FIG. 4 is a diagram showing user information in Example 1. FIG. 4 is a diagram showing route information in Example 1. FIG. 4 is a sequence diagram showing the flow of processing in the first embodiment; FIG. 4 is an example of an input screen for a desired product to be purchased on the terminal in Embodiment 1. FIG. 6 is an example of a display screen of a patrol route of a terminal in Embodiment 1. FIG. FIG. 10 is an image diagram showing distribution of shop visiting times in Example 1; FIG. 10 is a diagram showing information about infection status in Example 2;

Hereinafter, embodiments of the present invention will be described with reference to the drawings.

In this embodiment, an information processing system that presents a tour route in a shopping mall will be described as an example.

FIG. 1 is a configuration diagram of an information processing system in this embodiment. In FIG. 1, an information processing system 100 includes, for example, an information terminal (hereinafter abbreviated as a terminal) 122, a sensor 123, a camera 124, an information processing device 125, and a network 126. FIG.

The information processing device 125 is connected to each of the terminal 122 , the sensor 123 and the camera 124 via the network 126 . The information processing device 125 is, for example, a server or the like installed in a headquarters that manages a shopping mall. Also, the terminal 122, the sensor 123, and the camera 124 are facilities installed in the shopping mall. Note that the terminal 122 may be an information terminal such as a smart phone owned by a customer who is a user. In addition, the terminal 122 may be an information terminal such as smart glasses, a smart watch, or a head-mounted display, and information is provided to the user using XR technology such as VR (Virtual Reality) and AR (Augmented Reality). good too. Furthermore, the network 126 is a general public line network regardless of whether it is wired or wireless. Generation) can be used. In addition, if the user's smartphone is compatible with 5G, convenience such as "multiple simultaneous connections" and "ultra-low latency" will be enhanced.

Each component of the information processing system 100 may be singular or plural. For example, the information processing device 125 may be a computer system configured with one or more computers. Further, some components of the information processing system 100 shown in FIG. 1 may be omitted, and other components may be added.

The information processing device 125 includes a processing device 101 , a memory 102 , an input device 103 , an output device 104 , a storage device 105 and a communication interface (communication I/F) 106 . Communication I/F 106 operates as a communication unit that communicates with external devices (for example, terminal 122 , sensor 123 , and camera 124 ) via network 126 .

The processing device 101 operates as a control unit, the memory 102 and storage device 105 operate as storage units, the input device 103 operates as an input unit, and the output device 104 operates as an output unit.

The storage device 105 may be, for example, a volatile storage device or a non-volatile storage device.

In this embodiment, the storage device 105 stores programs such as a data input/output program 107, a route creation program 108, a data analysis program 109, shop information 110, map information 111, user information 112, route information 113, and measurement data 114. and other information are stored. Store information 110 includes store location information 200 and store congestion information 300 .

The processing device 101 reads programs and information for realizing respective functions from the storage device 105, stores them in the memory 102, and performs predetermined processing by software processing. It should be noted that the processing may be realized by hardware such as a dedicated integrated circuit instead of software processing.

The terminal 122 includes, for example, a communication I/F 115, a processing device 116, a memory 117, an input device 118, an output device 119, a storage device 120, and a clock 121. Communication I/F 115 operates as a communication unit that communicates with an external device (for example, information processing device 125 ) via network 126 .

The processing device 116 operates as a control unit, the memory 117 and storage device 120 operate as storage units, the input device 118 operates as an input unit, the output device 119 operates as an output unit, and the clock 121 operates as a time measurement unit. Operate.

The processing device 101 or the processing device 116 may be a device that performs calculation and control, and may be configured by a processor such as a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit), or may be a dedicated processor for performing specific processing. may include circuitry. Here, the dedicated circuit is, for example, FPGA (Field Programmable Gate Array), ASIC (Application Specific Integrated Circuit), CPLD (Complex Programmable Logic Device), or the like.

The input device 103 and the input device 118 may be, for example, an interface, a mouse, a keyboard, or the like that receives data from an external device. The output device 104 and the output device 119 may be, for example, an interface for outputting data to an external device, or a display device such as a display or a monitor. At least some of these input and output devices may be input/output interfaces.

The sensor 123 may be, for example, a TOF (Time-of-Flight) sensor that acquires customer position information in the store. The camera 124 may be a camera that acquires information such as the location and number of customers, for example. Note that the sensor 123 and camera 124 may be other sensors and cameras.

FIG. 2 is a diagram showing store location information 200 in this embodiment. In FIG. 2, store location information 200 includes store numbers for uniquely identifying stores in the shopping mall. 201, company information 202 that manages the store in the shopping mall, store name 203 in the shopping mall, and if the site of the store in the shopping mall is, for example, a rectangle, the four corners are positioned (1) and positioned (2 ), position (3), and position (4), the longitude, latitude, and altitude are x, y, and z respectively, and the respective coordinates are position (1)x204, position (1)y205, and position (1). As z 206, each coordinate is similarly retained, and position (4) z 207 is retained. In addition, the average stay time 208 on weekdays of the store, the average stay time 209 on holidays, the distance 210 from the floor entrance of the store, the distance 211 from the elevator on the same floor, and the distance 211 from the elevator on the same floor The distance 212 to store B, which is a store, and the distance to other stores on the same floor are similarly held, and the distance 213 to the terminal 122 installed on the same floor and the number of floors 214 on which the store exists are stored. Possess. Note that the average stay time 208 on weekdays and the average stay time 209 on weekends are also information related to the state of congestion.

Moreover, the distances 210 to 212 may be calculated each time by a calculation program in cooperation with GPS without storing them in advance. Moreover, you may hold|maintain the distance in store 1:1 beforehand. Also, the store location information 200 may hold only a part of the information shown in FIG. 2, or may hold other information held by the store.

FIG. 3 is a diagram showing store congestion information 300 in this embodiment. In FIG. 3, the store congestion information 300 includes, for example, information 301 indicating the year, information 302 indicating the month, information 303 indicating the day, information 304 indicating the day of the week, and time or time period, which is the date and time when the data was acquired. Displayed information 305, store No. 306, shop name 307, information 308 indicating whether it is a weekday or a holiday, event information 309 for uniquely identifying the type of event in the shopping mall, and the number of people per unit area at the shop. It holds information 310 indicating a certain population density.

The store congestion information 300 may hold only part of the information shown in FIG. 3, or may hold other information. In addition, it is also possible to store information about the congestion status of each date and time in the common area in the shopping mall. For example, information in elevators, escalators, entrances and corridors. The information about congestion status is information measured by sensors 123 and cameras 124 installed in the shopping mall.

In addition, since the risk of infection is higher when the air is stagnant than when people pass each other in a short time, the information 310 indicating the density in the store is held. may be included.

FIG. 4 is a three-dimensional image diagram 400 of the map information 111 in this embodiment. The map information 111 holds information about the building structure of the shopping mall, the layout and positions of multiple stores in the shopping mall, and other equipment. For example, it has not only two-dimensional floor map information but also three-dimensional information on the relationship between upper and lower floors. Figure 4 shows the case where the central part of the shopping mall is atrium, and the probability of infection through the air is high at stores A and B on the 1st floor and stores A and 2 on the 1st floor. I know it's expensive. In this way, by having the store information on the top, bottom, left, and right that are three-dimensionally adjacent to each other, it is possible to reduce the probability of infection in the horizontal direction and the height direction.

FIG. 5 is a planar image of the map information 111 in this embodiment. As shown in FIG. 5, it holds information on store layouts and other facilities on each floor in the shopping mall.

FIG. 6 is a diagram showing the user information 112 in this embodiment. In FIG. 6, in the terminal that acquires user information, when inputting with a smartphone application owned by a customer who has registered as a member among customers who use the shopping mall, the terminal required when downloading the application member ID 702 for identifying the member; member age 703; member gender 704; information 705 indicating that the member is elderly; It holds information 706 indicating the case, information 707 indicating the disease registered by the member, and information 708 indicating the member's walking speed. In addition, information such as medical history, frequently visited stores and average stay time at each store may be stored. The user information 112 may be a data item or holding method different from the data holding method or item in FIG. Part of the items may be temporarily entered when the user wants to consider the time or walking speed.

In addition, by saving the route history for each user as user information, by linking with an application that knows where an infected person was, it is possible to determine whether the user is an infected person, suspected of being infected, or a close contact person. It is possible to specify whether there is In addition, even those who are worried about infection can display and check the route of the user.

In addition, it is possible to create a route that avoids congestion according to individual attributes such as a history of illness and age for each user. It should be noted that the user may wish to avoid congestion, or the user may provide only personal attributes to the store, and the store may take this into consideration when creating a route.

FIG. 7 is a diagram showing the route information 113 in this embodiment. In FIG. 7, the data No. 801, member ID 802 requesting the tour route, query time 803 at which the query requesting the tour route was issued, walking speed 804 requested by the member, derived route number. 805, information 806 indicating the distance at the time of patrol, and information 807 indicating the assumed density at the time of patrol.

For example, as shown in FIG. 7, when the member ID: 2003 is the query time, 2020/6/18, 10:00:00, search on the terminal and go to A store, X store, and V store , the current location (terminal location) and the routes of A store, X store and V store. 1, 2, and 3 are calculated, and route No. 3 is route number. Since the distance is more than double compared to 1 and 2, it is inefficient and is excluded.
And route No. 1 is terminal→store A→escalator→store X→store V, route No. 2 presents terminal→store A→escalator→store V→store X.

Note that the route information 113 may hold data other than the format and data of these information shown in FIG. 7, or may hold only a part thereof.

FIG. 8 is a sequence diagram showing the flow of processing in this embodiment. FIG. 8 shows the processing of the terminal 122 and the information processing device 125 in order. First, in step 901, the member logs in using the terminal 122, and in step 902, the information processing device 125 authenticates the member. After that, in step 903, the member selects a store that the member wishes to visit on the terminal 122 and creates a list of visited stores. Then, in step 904, information on the position of the terminal being operated or the current position being operated, a list of visited shops, density information such as the desired congestion level entered on the terminal 122, and personal information such as member information The information is transmitted to the information processing device 125 .

The information processing device 125 calculates the route in step 905 based on the information sent in step 904 and the store information 110, map information 111, user information 112, etc. stored in the storage device 105 .

The route calculation in step 905 derives, for example, a combination list of visited store lists. If you go around three stores A, M, and X, the combination list is A⇒M⇒X, A⇒X⇒M, M⇒A⇒X, M⇒X⇒A, X⇒A⇒M, It is a list for the number of combinations such as X⇒M⇒A. Next, out of each of these lists, those with extremely long cyclic routes are deleted. For example, the shortest path is multiplied by 2, and the threshold may be determined as appropriate.

Next, in step 906, based on the average length of stay at each store on the route, or the member's length of stay and distance traveled between stores, and the time requested for derivation, simulate where and when, and the surrounding density at that time. . Then, in step 907, the optimum density route is calculated based on the congestion situation desired by the member.

At step 908, the optimum route is returned to the terminal 122 as a route reply, and at step 909, the route is displayed on the terminal. Then, in step 910, the member is asked to input a questionnaire about his/her impression using the terminal or his/her impression of using the smartphone application as a questionnaire display, and the result of the questionnaire is accumulated as an evaluation in step 911.

Although FIG. 8 shows an example of calculation, a form different from the above may be used. In addition, in the density simulation, for example, past store congestion conditions, future congestion predictions, and congestion conditions up to the time of the simulation on the day are used to determine the degree of congestion in the past for similar events and days of the week. It is possible to derive the congestion prediction for the day from the past congestion situation, so this information, how many customers are in the shopping mall at the time of the simulation on the day, and what kind of route is being presented. It can be seasoned.

FIG. 9 is an example of an input screen for a desired product to be purchased on the terminal in this embodiment. In FIG. 9, (a) is a selection screen for selecting whether to search by product category or by image when deciding which store to visit in the shopping mall. (b) is a category selection screen when category search is selected in (a). (c) is a wallet detail selection screen when the woman's wallet is selected in (b). (d) is a search result screen when the red long wallet is selected in (c). If you choose to go later when you think that there is a product you want from the image, it is held in the list of stores you want to visit. A list of visited stores in step 903 is created by performing a similar search.

FIG. 10 is an example of a display screen of a tour route of a terminal in this embodiment. FIG. 10 shows a route of terminal→store A→escalator→store X→store V, which is a route derived while taking into consideration the degree of congestion, that is, the probability of infection.

FIG. 11 is an image diagram showing the distribution of store visit times in this embodiment. When the store congestion status, that is, the population density, which is the number of people per unit area, exceeds a predetermined standard during a predetermined time period, the store exceeding the predetermined standard is selected during the predetermined time period. For a plurality of users, patrol routes are created so that the visiting times of stores exceeding a predetermined criterion are distributed. Specifically, in FIG. 11(a), at 10:00 on June 18, 2020, when the simulation and the current state of the store are shown, the store whose congestion state is higher than a predetermined standard is displayed in black. Horizontal lines and black dots indicate moderately crowded stores. Here, if there is a customer who wants to go around stores A, X, and V, the customer who presents the route at 10:00 will go from the terminal on the first floor to store A, then the escalator, then to store X on the second floor, then store V. Show route.

On the other hand, FIG. 11(b) shows an image when a customer who wants to visit similar stores requests a route at 10:10, ten minutes later. Based on the customer's walking speed, the distance between stores and facilities, and the situation of customers in surrounding stores, the route is displayed in order from store V to store X on the second floor. In other words, in (b), since the congestion situation at V store has decreased to a moderate level, guidance is given from V store first, so that the visiting time at X store is dispersed. As a result, the peak of the congestion situation at the X store can be lowered.

Although FIG. 11 is an image of a visualization of the status of route consideration taking congestion into account, the present invention is not limited to such an expression. Alternatively, only the calculation result may be held without having it as an image. For example, from the terminal to store A, the required time is calculated from the distance and the member's walking speed, and the average staying time at store A is read. Then, the required time is calculated from the distance of the elevator from the A store and the member's walking speed, and the average waiting time for the elevator and the travel time are taken into consideration, so that when and where the member is can be known. Also, such information may be calculated from a simulator. By mapping this information with the assumed density at each location at each time, the average density is minimized so that the density of contact is minimized when a member walks around a shopping mall. , etc., can be selected as appropriate. Also, information such as having a disease or preference such as wanting to avoid congestion may be used for route selection. In calculating the route, the shopping mall side may adjust the degree of congestion, that is, the density at which the probability of infection is high, based on the information on the community infection of the shopping mall.

As described above, according to this embodiment, when visiting a plurality of facilities such as stores, even in facilities where many people can gather, information processing is performed to present a route that can prevent infection or reduce the probability of infection. It is possible to provide a system, an information terminal, and an information processing device used for the system.

This embodiment describes an example further comprising information about the infection status. Information about this infection status is input from the input device 103 in the information processing device 125 in FIG. 1 and stored in the storage device 105 .

FIG. 12 is a diagram showing information 1200 regarding infection status in this embodiment. In FIG. 12, the alert level 1601 is input with reference to the status of alerts set by local governments, for example, for a specific infectious disease. Observations are classified as small, none.

The emergency measure 1602 is selected with reference to a declaration of a state of emergency or a declaration of lifting of the state of emergency by the government, for example, for a specific infectious disease. The type of infectious disease 1603 indicates the type of infectious disease for which prevention of congestion is an effective countermeasure. As the type of infectious disease, for example, COVID-19 (novel coronavirus infectious disease) and influenza are set. The epidemic level 1604 of the infectious disease is, for example, the number of positive test positives for the target infectious disease, the number of current patients, the number of new infected people, the cumulative number of infected people, the number of hospitalized patients, and the target infectious disease. An appropriate one is set from various indicators such as the number of deaths due to

A standard 1605 is a predetermined standard value of the probability of infection. For example, if a store exceeds this standard, a patrol route is created so that the visiting time of the store is dispersed. AA, BB, and CC are values representing standards of population density (person/m ² ), for example, where AA<BB<CC, and AA is a stricter standard. For example, if the state of emergency measures 1602 corresponds to implementation (state of emergency declared), a stricter standard AA is adopted.

As a modification, for example, in a facility such as a shopping mall, a unique standard 1605 may be set, such as setting a strict standard that is more effective against infectious diseases. For example, a store that takes prescribed measures against infectious diseases may have a higher standard than a store that does not take measures. In addition, lower standards may be set for facilities such as hospitals that are likely to be visited by infected people and stores that tend to be closed.

The information 1200 regarding the infection status may be set with part or all of the information shown in FIG. 12, or may be set with other information. In addition, the information 1200 regarding the infection status is set based on infectious disease control policies issued by administrative agencies (government, local government, etc.) of each country or region, organizations related to infectious disease control, experts, etc. good too. In addition, the latest status of the information 1200 regarding the infection status may be input or updated based on information from administrative agencies, organizations related to measures against infectious diseases, experts, and the like.

Further, for example, in a state where an emergency is declared, the information processing system 100 may issue a store alert that presents information that the store is congested.

As described above, according to the present embodiment, it is possible to provide an information processing system, an information terminal, and an information processing apparatus that presents a route that can prevent infection or reduce the probability of infection based on information on the infection status.

Although the embodiments have been described above, the present invention is not limited to the above-described embodiments and includes various modifications. For example, in the above-described embodiment, a shopping mall was explained as an example, but any facility where a user can tour an area such as a plurality of stores may be used, such as department stores, shopping centers, airports, stations, outlet malls, and theme parks. , an amusement park, and a mass retailer. It is also applicable when the user visits multiple areas in the same store. That is, the information and various types of processing related to multiple stores within the shopping mall in this embodiment may be implemented as information and processing related to multiple areas within the facility as described above. In the above-described embodiment, an example of presenting a route that can prevent infection or reduce the probability of infection even in a facility where many people can gather has been described. It is also applicable to presenting to the user a patrol route that can prevent or reduce congestion for the purpose of providing a safe and comfortable environment to the user or improving work efficiency. Moreover, each of the above-described embodiments has been described in detail for easy understanding of the present invention, and the present invention is not necessarily limited to those having all the described components. Also, it is possible to replace part of the configuration of one embodiment with the configuration of another embodiment, and it is also possible to add the configuration of another embodiment to the configuration of one embodiment. Moreover, it is possible to add, delete, or replace a part of the configuration of each embodiment with another configuration.

100: information processing system, 101, 116: processing device, 102, 117: memory, 103, 118: input device, 104, 119: output device, 105, 120: storage device, 106, 115: communication interface (communication I/ F), 107: data input/output program, 108: route creation program, 109: data analysis program, 110: store information, 111: map information, 112: user information, 113: route information, 114: measurement data, 122: terminal (Information Terminal), 123: Sensor, 124: Camera, 125: Information Processing Device, 126: Network, 200: Store Location Information, 300: Store Congestion Information, 1200: Information on Infection Status.

Claims (6)

a storage device that stores information on the locations of a plurality of stores and information on congestion status of the plurality of stores;
an information terminal that receives selection of at least some of the plurality of shops from each of a plurality of users;
an information processing device that creates a patrol route for each user based on at least information about the location of the selected store and information about the congestion status of the selected store;
The information processing device is
When the congestion status of the selected store exceeds a predetermined standard during a predetermined time period, the predetermined standard is obtained for a plurality of users who have selected stores exceeding the predetermined standard during the predetermined time period. Create a patrol route so that the visiting time of the store exceeding the is distributed ,
1. An information processing system, characterized in that it acquires information about an infection status, and changes the predetermined criteria based on the acquired infection status . The information processing system according to claim 1,
The information processing system , wherein the case where the congestion state of the selected store exceeds a predetermined standard means the case where a predetermined population density is exceeded. The information processing system according to claim 1,
the information on the locations of the plurality of stores has information on three-dimensionally adjacent stores on the top, bottom, left, and right;
An information processing system, wherein the information processing device creates the patrol route in consideration of the layout relationship between upper and lower floors and horizontally adjacent stores and the probability of infection. The information processing system according to claim 1,
The storage device stores user information, which is a route history for each user,
The information processing device uses the user information to cooperate with an application that shows where an infected person has been, thereby identifying whether the user is an infected person, suspected of being infected, or a close contact person. An information processing system characterized by: The information processing system according to claim 1,
The storage device stores user information, which is personal attributes for each user,
The information processing system, wherein the information processing device creates the patrol route using the user information. An information processing device used in the information processing system according to claim 1,
An information processing device, wherein the information processing device is characterized in that the sensor and the camera for acquiring the information about the congestion situation and the information terminal are connected to each other via a fifth generation mobile communication network.

Images