JP2022188634A - Guidance information generation apparatus, control method, and program - Google Patents

Abstract

To provide a novel technique for guiding a person.SOLUTION: A guidance Information generating apparatus 2000 according to the present invention, based on characteristics of each person 30 in each area 10 of a plurality of areas 10, calculates a risk index value indicating a risk degree of each area 10. The guidance information generating apparatus 2000, based on the risk index value calculated for each of the areas 10, determines whether or not the area 10 is in a risky state. The guidance information generating apparatus 2000 generates guidance information 40 which contributes to reduction of the number of the persons in the area 10 determined as a place in a risky state.SELECTED DRAWING: Figure 1

Description

The present disclosure relates to technology for guiding people.

Techniques for guiding people using information processing have been developed. For example, Patent Literature 1 discloses a system that calculates the degree of congestion based on the number or density of people and guides people from a crowded area to an empty area. Further, Patent Literature 2 discloses a system that suppresses entry into an area where the number of people exceeds the allowable number and generates a guide that guides the person to an open area.

JP-A-2003-259337 JP 2017-016274 A

Neither of Patent Literatures 1 and 2 refers to an index other than the degree of congestion as an index for determining whether or not guidance is necessary and the guidance destination. The present invention has been made in view of this problem, and its object is to provide a new technique for guiding people.

The guidance information generating device of the present disclosure includes, for each of a plurality of areas, a calculation unit that calculates a risk index value representing the degree of risk of the area based on the characteristics of each person in the area; a determination unit that determines whether or not the area is in a dangerous state based on the risk index value calculated for the area, and a dangerous area that is the area determined to be in a dangerous state and a generator for generating guidance information that contributes to reducing the number of people in the.

The control method of the present disclosure is executed by a computer. The control method includes, for each of a plurality of areas, a calculation step of calculating a risk index value representing the degree of risk of the area based on the characteristics of each person in the area;
a determination step of determining, for each of the areas, whether or not the area is in a dangerous state based on the risk index value calculated for the area;
and a generating step of generating guidance information that contributes to reducing the number of persons in the dangerous area, which is the area determined to be in danger.

A program of the present disclosure causes a computer to execute the control method of the present disclosure.

According to the present disclosure, a new technique for guiding people is provided.

4 is a diagram illustrating an overview of the operation of the guidance information generating device of Embodiment 1; FIG. 2 is a block diagram illustrating the functional configuration of the guidance information generating device of Embodiment 1; FIG. It is a block diagram which illustrates the hardware constitutions of the computer which implement|achieves a guidance information generation apparatus. 4 is a flowchart illustrating the flow of processing executed by the guidance information generating device of Embodiment 1;

Embodiments of the present disclosure are described in detail below with reference to the drawings. In each drawing, the same reference numerals are given to the same or corresponding elements, and redundant description will be omitted as necessary for clarity of description. Further, unless otherwise described, predetermined values such as predetermined values and threshold values are stored in advance in a storage unit or the like that can be accessed from a device that uses the values. Further, unless otherwise specified, the storage unit is composed of one or more arbitrary number of storage devices.

FIG. 1 is a diagram illustrating an overview of the operation of the guidance information generating device 2000 of Embodiment 1. FIG. Here, FIG. 1 is a diagram for facilitating understanding of the outline of the guidance information generation device 2000, and the operation of the guidance information generation device 2000 is not limited to that shown in FIG.

The guidance information generation device 2000 is used to guide a person 30 in a monitored place (monitored place 20) composed of a plurality of areas 10. FIG. For example, the monitored location 20 is any facility such as an exhibition hall, a museum, or an art gallery. Note that the monitoring target location 20 may be composed of only the indoor area 10, may be composed of only the outdoor area 10, or may be composed of both the indoor area 10 and the outdoor area 10. may be configured.

A person 30 is a person in the monitored place 20, for example, a user of the monitored place 20 (a person visiting a facility or the like). The person 30 may further include a staff who manages the monitored location 20, a security guard who guards the monitored location 20, and the like. It should be noted that only one person is denoted by reference numeral 30 in FIG. 1 for the sake of clarity.

The guidance information generating device 2000 determines whether or not each area 10 is in a dangerous state based on the characteristics of the person 30 in each of the areas 10 . Hereinafter, the area 10 that is in a dangerous state is also referred to as a dangerous area, and the area 10 that is not in a dangerous state is also referred to as a non-dangerous area.

Various conditions can be treated as dangerous conditions. Specific examples include "high risk of contracting infectious diseases" and "high risk of accidents". As the features of the person 30, various features can be handled. Specific examples include age, presence/absence and type of disability, biometric information, high risk of aggravation of a specific disease, and vaccination status.

Guidance information generating device 2000 generates guidance information 40 based on the result of determination as to whether each area 10 is in a dangerous state. Guidance information 40 is information that contributes to reducing the degree of danger in a dangerous area. More specifically, it is information that contributes to reducing the number of persons 30 in the dangerous area, and information that contributes to not increasing the number of persons 30 in the dangerous area. An example of the former is information prompting movement from a dangerous area to a non-dangerous area. An example of the latter is information that reduces movement from a non-hazardous area to a hazardous area.

<Example of action and effect>
According to the guidance information generation device 2000, the guidance of people is performed by "calculating the degree of risk of each area 10 in consideration of the characteristics of the people to be guided, and guiding the people based on the degree of risk." A new technology to implement is provided. In addition, since the degree of danger of each area 10 is calculated in consideration of the characteristics of the people to be guided, it is possible to accurately determine whether each area 10 is in a dangerous state. Therefore, it is possible to appropriately perform guidance according to the degree of danger of each area 10 .

For example, in the monitoring target location 20, it is desired to appropriately guide people so as to minimize the influence of an epidemic of an infectious disease. For example, in this case, considering the characteristics of the person 30, such as "how many people 30 have a high risk of becoming seriously ill" and "how many people 30 have not been vaccinated," each area 10 Appropriate guidance becomes possible by grasping the degree of danger.

The guidance information generation device 2000 of this embodiment will be described in more detail below.

<Example of functional configuration>
FIG. 2 is a block diagram illustrating the functional configuration of the guidance information generating device 2000 of Embodiment 1. As shown in FIG. Guidance information generation device 2000 has calculation unit 2020 , determination unit 2040 , and generation unit 2060 . The calculation unit 2020 calculates a risk index value for each of the plurality of areas 10 based on the characteristics of each person 30 in the area 10 . The determination unit 2040 determines whether each area 10 is in a dangerous state based on the risk index value of each area 10 . The generation unit 2060 generates the guidance information 40 based on the determination result.

<Example of hardware configuration>
Each functional configuration unit of the guidance information generating device 2000 may be implemented by hardware that implements each functional configuration unit (eg, hardwired electronic circuits, etc.), or a combination of hardware and software (eg : a combination of an electronic circuit and a program that controls it, etc.). Hereinafter, a case where each functional configuration unit of guidance information generation device 2000 is realized by a combination of hardware and software will be further described.

FIG. 3 is a block diagram illustrating the hardware configuration of a computer 500 that implements the guidance information generating device 2000. As shown in FIG. Computer 500 is any computer. For example, the computer 500 is a stationary computer such as a PC (Personal Computer) or a server machine. In addition, for example, the computer 500 is a portable computer such as a smart phone or a tablet terminal. Computer 500 may be a dedicated computer designed to implement guidance information generating device 2000, or may be a general-purpose computer.

For example, by installing a predetermined application on the computer 500 , each function of the guidance information generating device 2000 is realized on the computer 500 . The application is composed of a program for realizing each functional component of the guidance information generation device 2000 . It should be noted that the acquisition method of the above program is arbitrary. For example, the program can be obtained from a storage medium (DVD disc, USB memory, etc.) in which the program is stored. In addition, for example, the program can be obtained by downloading the program from a server device that manages the storage device in which the program is stored.

Computer 500 has a bus 502 , processor 504 , memory 506 , storage device 508 , input/output interface 510 and network interface 512 . The bus 502 is a data transmission path through which the processor 504, memory 506, storage device 508, input/output interface 510, and network interface 512 exchange data with each other. However, the method of connecting the processors 504 and the like to each other is not limited to bus connection.

The processor 504 is various processors such as a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), or an FPGA (Field-Programmable Gate Array). The memory 506 is a main memory implemented using a RAM (Random Access Memory) or the like. The storage device 508 is an auxiliary storage device implemented using a hard disk, SSD (Solid State Drive), memory card, ROM (Read Only Memory), or the like.

The input/output interface 510 is an interface for connecting the computer 500 and input/output devices. For example, the input/output interface 510 is connected to an input device such as a keyboard and an output device such as a display device.

A network interface 512 is an interface for connecting the computer 500 to a network. This network may be a LAN (Local Area Network) or a WAN (Wide Area Network).

The storage device 508 stores a program that implements each functional component of the guidance information generation device 2000 (a program that implements the application described above). The processor 504 reads this program into the memory 506 and executes it, thereby realizing each functional component of the guidance information generation device 2000 .

Guidance information generating device 2000 may be realized by one computer 500 or may be realized by a plurality of computers 500 . In the latter case, the configuration of each computer 500 need not be the same, and can be different.

<Process flow>
FIG. 4 is a flowchart illustrating the flow of processing executed by the guidance information generating device 2000 of the first embodiment. For each area 10, the calculation unit 2020 calculates a risk index value representing the degree of danger in the area 10 based on the characteristics of each person 30 in the area 10 (S102). The determination unit 2040 determines whether each area 10 is a dangerous area based on the risk index value calculated for the area 10 (S104). The generation unit 2060 generates the guidance information 40 based on the determination result (S106).

<Calculation of risk index value: S102>
The calculator 2020 calculates a risk index value for each area 10 (S102). A method for calculating the risk index value will be specifically illustrated below. A method for detecting the person 30 from the area 10 and a method for identifying the characteristics of the person 30 will be described later. Also, in the following description, the greater the risk index value, the higher the risk.

The risk index value is calculated based on the features of the person 30 in the area 10 . There are various characteristics of the person 30 used for calculating the risk index value. For example, as the features of the person 30, the age of the person 30, the disability that the person 30 has, or the biological information of the person 30 can be used. Body temperature, heart rate, blood oxygen concentration, or the like can be used as biological information. In addition, as characteristics of the person 30, for example, the high risk of aggravation of a specific disease, the presence or absence of vaccination against a specific disease, and the like can be used. The disease here is, for example, a disease that is susceptible to the surrounding environment, such as an infectious disease or an allergy. In addition, when multiple vaccinations are required to acquire sufficient antibodies, the number of vaccinations can be used as a feature.

There are various methods for calculating the risk index value based on the various characteristics described above. For example, the calculation unit 2020 calculates the number of persons 30 whose features satisfy a predetermined condition among the persons 30 in the area 10 as the risk index value.

Predetermined conditions include, for example, "Age is A years old or older", "Has a type of disability B", "Body temperature is not within the normal range", "Severe disease C conditions such as "high risk" or "not vaccinated against infectious disease D". A combination of these conditions may be used as the predetermined condition.

In addition, for example, the calculation unit 2020 calculates a score for each person 30 in the area 10 based on the characteristics of the person 30, and a statistical value (total value or average value) of the score calculated for each person 30. etc.) may be calculated as the risk index value for the area 10 . The age-based score of the person 30 is calculated according to, for example, the age group to which the person 30 belongs. Specifically, the numerical range of age is divided into a plurality of partial ranges, and a score is determined in advance for each partial range. The calculation unit 2020 uses the score associated with the partial range to which the age of the person 30 belongs as the score based on the age of the person 30 . For example, the age range is divided into three subranges: seniors, children, and others. Then, the scores are determined so as to satisfy "score for the elderly>score for the child>score for others".

Disability-based scores are identified, for example, using pre-associated scores for each type of disability. For example, scores Sd1 to Sd5 are associated with disability types D1 to D5, respectively. In this case, for person 30 with disability D1, the disability-based score is Sd1.

A score based on biometric information can be determined in the same manner as an age-based score, for example. Specifically, the numerical range of biometric information is divided into a plurality of partial ranges, and a score is determined for each partial range. As the score based on the biometric information of the person 30, the calculation unit 2020 uses the score associated with the partial range to which the value of the biometric information of the person 30 belongs. However, the biometric information score is determined for each type of biometric information.

The numerical range of biometric information can be classified into two ranges, for example, a normal range and an abnormal range. However, the normal range and the abnormal range may be further subdivided. When an abnormal range is divided into multiple areas, the more abnormal the range, the higher the score. Similarly, when dividing the normal range into a plurality of sections, the higher the normal range, the smaller the score.

For vaccination status, for example, a score is assigned to each case of vaccination and non-vaccination. However, the score for the case of vaccination should be lower than the score for the case of no vaccination (eg, zero).

When dealing with an infectious disease or the like that requires multiple vaccinations to acquire sufficient antibodies, a score may be determined according to the number of vaccinations. In this case, the lower the number of vaccinations received, the higher the score assigned. For example, if 2 vaccinations are required to obtain sufficient antibodies, no vaccination, 1 vaccination, 2 vaccinations are assigned the highest scores in that order.

Scores based on the high risk of aggravation of the disease are assigned, for example, to high and low aggravation risks. Moreover, a plurality of levels may be set for the severity of the risk of aggravation, and a higher score may be assigned to a rank with a higher risk of aggravation.

In addition, it is considered possible to predict the high risk of aggravation of the disease based on other characteristics. For example, it is conceivable that the higher the age, the higher the risk of aggravation, or that the risk of aggravation is higher if the vaccine is not administered. Therefore, for example, a prediction formula for predicting the risk of aggravation from various characteristics such as age is defined, and the score of each person 30 is a value obtained as a result of inputting the characteristics such as age into this prediction formula (i.e., A value representing the high risk of aggravation) may be used.

<<Weighting Based on Size of Area 10>>
The calculation unit 2020 may weight the risk index values calculated by the various methods described above based on the size of the area 10 . At this time, it is preferable that the larger the area 10 is, the smaller the risk index value is.

For example, the calculation unit 2020 does not directly use the risk index value calculated by the method described above, but uses a value obtained by dividing the value by the size of the area 10 as the risk index value. A value obtained by dividing the number of persons 30 satisfying a predetermined condition by the size of the area 10 can also be said to be the density of the persons 30 satisfying the predetermined condition. That is, it is possible to use the density of the persons 30 who satisfy a predetermined condition as the risk index value.

<<Environmental Considerations>>
The risk level of the area 10 may further take into consideration features related to the environment of the area 10 (hereinafter referred to as environmental features). As an environmental feature of the area 10, for example, good ventilation can be used. For example, from the viewpoint of infectious disease prevention, the poorly ventilated area 10 is considered to have a higher degree of risk. In addition to infectious diseases, places with poor ventilation are thought to be unfavorable from a health standpoint.

Therefore, for example, the score relating to the environmental feature of ventilation is determined such that the lower the goodness of ventilation, the higher the score. The score of each area 10 regarding the goodness of ventilation is determined in advance based on, for example, the level of ventilation equipment in that area 10 .

In addition, for example, as an environmental characteristic of the area 10, the concentration of a specific substance (for example, CO2) contained in the air of the area 10 can be used. As a specific example, a plurality of numerical ranges are determined for the concentration of substances, and a score is determined for each numerical range. For example, if a specific substance is CO2, the higher the CO2 concentration, the more unfavorable it is from a health standpoint. Therefore, a higher score is set for a numerical range with a higher CO2 concentration.

The calculation unit 2020 identifies the concentration of the specific substance for each area 10, and uses the score corresponding to the numerical range to which the identified concentration belongs as the score for the concentration of the specific substance. Note that the concentration of a specific substance present in the air can be identified using a sensor for measuring the concentration of that substance. Therefore, each area 10 is provided in advance with a sensor corresponding to a substance to be measured.

The calculation unit 2020 further utilizes the score calculated based on the environmental features to calculate the risk index value. For example, the calculation unit 2020 calculates a simple sum or a weighted sum of the score calculated based on the characteristics of the person 30 in the area 10 and the score calculated based on the environmental characteristics of the area 10. , the calculated value is used as the risk index value.

<<Method for Detecting Person 30 in Area 10>>
To calculate the risk index value, the calculator 2020 detects the person 30 in the area 10 . Several specific methods for detecting the person 30 in the area 10 are exemplified below.

<<<How to use the camera>>>
For example, the calculator 2020 detects the person 30 in the area 10 using an image generated by a camera (hereinafter referred to as captured image). For example, a camera is provided so as to overlook the area 10 . In this case, the calculator 2020 detects the person 30 in the area 10 using the captured image obtained from the camera.

Alternatively, for example, a camera may be provided to capture an image of the person 30 passing through the doorway of the area 10 . In this case, the calculation unit 2020 detects the person 30 entering the area 10 and the person 30 exiting the area 10 by analyzing the captured image. Then, the calculation unit 2020 detects the person 30 who has not left the area 10 after entering the area 10 as the person 30 in the area 10 .

Here, in order to identify the person 30 entering the area 10 and the person 30 exiting the area 10, it is necessary to identify the person 30 detected from the captured image. In addition, as will be described later, identification of the person 30 is also necessary in order to match the person 30 detected from the captured image with a person registered in advance. As a method for identifying the person 30 detected from the captured image, various existing techniques, such as a method using facial features, can be used.

<<<How to use communication between terminals>>>
For example, the calculation unit 2020 detects the person 30 in the area 10 based on the communication between the communication terminal provided in the area 10 and the communication terminal possessed by each person 30 . Hereinafter, a communication terminal provided in the area 10 is referred to as an area terminal, and a communication terminal possessed by the person 30 is referred to as a user terminal.

Any computer capable of wireless communication can be used as an area terminal. As the communication terminal possessed by the person 30, a mobile terminal, a wearable terminal (a watch-type device or an eyeglass-type device), or the like can be used.

Detection of the person 30 using communication between communication terminals can be performed, for example, as follows. First, an area terminal transmits a request message including identification information of the area 10 in which the area terminal is provided, by wireless communication. It is preferable that any terminal can receive this request message, such as a Bluetooth (registered trademark) advertisement packet.

Upon receiving the request message, the user terminal transmits a response message including the identification information of the area 10 included in the request message and the identification information of the user terminal. The response message may be transmitted to the area terminal, or may be transmitted to a server device (for example, guidance information generation device 2000) that collects messages from user terminals.

The response message includes a pair of area 10 identification information and user terminal identification information. Also, the identification information of the user terminal can be used as identification information for specifying the person 30 . Therefore, the person 30 in the area 10 can be specified using the response message.

Here, an application that performs the above operation when receiving a message from an area terminal is installed in the user terminal in advance. The destination of the message sent from the user terminal may be preset in this application, or may be indicated in the message sent from the area terminal.

<<Grasping the characteristics of each person 30>>
The calculation unit 2020 grasps the characteristics necessary for calculating the risk index value for each person 30 in the area 10 . Some specific examples of the method are given below.

For example, when communication between terminals as described above is performed, information indicating the characteristics of the possessor of the user terminal (hereinafter referred to as characteristic information) is included in the response message. In this case, the response message includes identification information of the area 10, identification information of the user terminal, and characteristic information of the owner of the user terminal. Therefore, the calculation unit 2020 can grasp the characteristics of the person 30 in the area 10 from the content of the response message.

In addition, for example, the characteristics of each person 30 may be associated with the identification information of the person 30 and stored in advance in the storage unit. In this case, the calculation unit 2020 acquires the characteristics associated with the identification information of each person 30 in the area 10 from the storage unit. For the identification information of the person 30, for example, the identification information of the communication terminal possessed by the person 30, or the features of the appearance of the person 30 obtained from the captured image (such as the feature amount of the face) can be used.

In addition, for example, the characteristics of each person 30 may be dynamically identified using various sensors provided in the area 10 . For example, features that can be estimated from visual information can be specified using a captured image that is used to detect the person 30 in the area 10 . Features that can be estimated from visual information include, for example, age and the presence or absence of various disabilities. In addition, biometric information can utilize a sensor capable of obtaining information about the biometric information. For example, body temperature can be determined using a temperature sensor.

<Determination of whether the area is dangerous: S104>
The determination unit 2040 determines whether or not each area 10 is a dangerous area using the risk index value calculated for that area 10 (S104). For example, the determination unit 2040 determines that the area 10 is in a dangerous state (is a dangerous area) when the risk index value of the area 10 is equal to or greater than a predetermined threshold. On the other hand, when the risk index value of area 10 is less than the threshold, determination unit 2040 determines that area 10 is not in a dangerous state (is a non-dangerous area).

Here, a plurality of ranks with different degrees of danger may be defined as dangerous states. In this case, a plurality of thresholds for risk index values are determined. Then, the determination unit 2040 identifies the rank of the degree of risk of the area 10 using these thresholds.

For example, three ranks from rank 1 to rank 3 are provided in descending order of risk. Furthermore, it is assumed that three thresholds satisfying T1>T2>T3 are defined. In this case, the determination unit 2040 determines that the area 10 is a rank 1 dangerous area if the danger threshold of the area 10 is equal to or greater than T1. If the danger level threshold of area 10 is less than T1 and equal to or greater than T2, the determination unit 2040 determines that area 10 is a rank 2 dangerous area. If the danger level threshold of area 10 is less than T2 and equal to or greater than T3, the determination unit 2040 determines that area 10 is a rank 3 dangerous area. Then, if the risk level threshold of area 10 is less than T3, the determination unit 2040 determines that area 10 is a non-dangerous area.

<Generation of Guidance Information 40: S106>
The generation unit 2060 generates the guidance information 40 based on the result of determination as to whether the area 10 is in a dangerous state (S106). The guidance information 40 is information that contributes to lowering the danger level of the dangerous area.

Here, the generation unit 2060 uses various hardware to output the guidance information 40 . There are various methods of outputting the guidance information 40 . For example, each area 10 is provided with one or more display devices capable of displaying information, such as digital signage. In this case, the generation unit 2060 causes the display device provided in the area 10 to display the content of the guidance information 40 .

In addition, for example, each area 10 is provided with one or more speakers capable of outputting information by voice. In this case, the generation unit 2060 causes the speaker provided in the area 10 to output a sound representing the content of the guidance information 40 .

Alternatively, for example, the guidance information 40 may be transmitted to a communication terminal possessed by each person 30 . In this case, the guidance information 40 is output from the display device or speaker of the communication terminal. For example, as described above, it is assumed that an application for processing request messages is installed in the communication terminal possessed by each person 30 . In this case, the application is further provided with a function of outputting the received guidance information 40 . The application may output the guidance information 40 in response to receiving the guidance information 40, or output the guidance information 40 in response to a predetermined operation being performed after receiving the guidance information 40. may be output.

Specific contents of the guidance information 40 will be exemplified below.

For example, the guidance information 40 is information with which a specific dangerous area can be recognized. In this case, for example, the generation unit 2060 outputs the guidance information 40 indicating that the area 10 is a dangerous area in a manner recognizable by the person 30 in the dangerous area. do. As a specific example, the generating unit 2060 outputs the guidance information 40 representing the dangerous area from a display device or a speaker provided in the dangerous area, or outputs the guidance information 40 indicating the dangerous area. or send it to another communication terminal. By making the person 30 in the dangerous area aware that he or she is in the dangerous area, it is possible to encourage the person 30 to move from the dangerous area to another area 10 .

Here, as guidance information 40 that enables recognition that a certain area 10 is a dangerous area, for example, an arbitrary message indicating that the area 10 is a dangerous area or a message prompting movement to another area 10 is used. be able to. In addition, for example, as the guide information 40 that enables recognition that a certain area 10 is a dangerous area, an image that expresses that the area is a dangerous area with a color or pattern can be used. For example, a red image represents a dangerous area, and a blue image represents a non-dangerous area. In this case, the generation unit 2060 outputs the guidance information 40 representing a red image in a manner recognizable by the person 30 in the dangerous area.

Here, in a non-dangerous area, guidance information 40 indicating that the area 10 is a non-dangerous area may be further output. For example, in each of all the areas 10, guidance information 40 that enables recognition of whether or not the area 10 is a dangerous area is output. For example, in an area 10 that is a dangerous area, the generation unit 2060 outputs guidance information 40 indicating that the area 10 is a dangerous area in a manner recognizable by the person 30 in the area 10 . On the other hand, in the area 10, which is a non-dangerous area, the generation unit 2060 outputs the guidance information 40 indicating that the area 10 is a non-dangerous area in a manner recognizable by the person 30 in the area 10. .

In addition, for example, the generation unit 2060 may generate the guidance information 40 that allows all dangerous areas to be grasped. For example, such guidance information 40 is a list of dangerous area names and the like.

In addition, for example, the guidance information 40 may be information that can identify whether each area 10 is a dangerous area. For example, such guidance information 40 is information that associates the name of the area 10 with information indicating whether the area 10 is a dangerous area. Alternatively, for example, a map of the monitored location 20 in which the dangerous area and non-dangerous area can be identified may be used as the guidance information 40 . A map in which only one of the hazardous area and non-hazardous area is highlighted, and a map in which only one of the hazardous area and the non-hazardous area is highlighted, and a map in which the hazardous area and the non-hazardous area are colored or patterned differently from each other are examples of maps that can distinguish between the hazardous area and the non-hazardous area. You can use the maps provided.

Guidance information 40 that enables grasping of all dangerous areas and guidance information 40 that enables grasping whether each area 10 is a dangerous area, regardless of whether or not an arbitrary person 30 is in a dangerous area. It may be output in a recognizable manner. For example, this guidance information 40 is output to display devices and speakers provided in all areas 10, and is transmitted to communication terminals of all persons 30, respectively.

As described above, by making the person 30 in the dangerous area aware that they are in the dangerous area, it is possible to encourage them to move from the dangerous area to the non-dangerous area. Further, by making the person 30 in the non-dangerous area recognize the dangerous area, movement from the non-dangerous area to the dangerous area can be reduced.

Guidance information 40 is not limited to information that enables recognition of whether area 10 is a dangerous area. For example, the guidance information 40 may be information that recommends moving to a non-dangerous area by appealing the characteristics of the area 10, which is a non-dangerous area. Hereinafter, the area 10 recommended as a destination is referred to as a recommended area. Information that recommends moving to a specific area 10 includes, for example, information about events being held in the area 10, advertisements for products and services offered in the area 10, or information on going to the area 10. Information on benefits that can be obtained, etc. can be mentioned.

When a plurality of non-dangerous areas exist, the generation unit 2060 may treat all of the plurality of non-dangerous areas as recommended areas, or treat some (or more than one) of the plurality of non-dangerous areas as recommended areas. may be selected as When a plurality of non-dangerous areas are recommended areas, for example, the generation unit 2060 generates information for guiding the person 30 to each of these non-dangerous areas (information appealing the characteristics of each of these plurality of non-dangerous areas). Generated as information 40 .

There are various ways to select a recommended area from multiple non-hazardous areas. For example, the generator 2060 randomly selects a recommended area from among a plurality of non-dangerous areas.

In addition, for example, the generating unit 2060 selects recommended areas based on the risk index values of the non-dangerous areas. When guiding the person 30 to a certain area 10, it can be said that it is preferable that the danger level of the area 10 is small. Therefore, for example, the generating unit 2060 selects the non-dangerous area with the lowest risk index value as the recommended area.

The recommended area may be determined by considering the distance from the dangerous area. For example, in order to determine the recommended area, a second threshold value indicating that the risk index value is sufficiently small is defined. First, the generation unit 2060 identifies areas 10 whose risk index values are equal to or less than the second threshold. If a plurality of areas 10 are identified here, the generation unit 2060 selects the area 10 closest to the dangerous area among the identified areas 10 as the recommended area.

In addition, for example, an evaluation formula for calculating the degree of recommendation based on the risk index value and the distance from the dangerous area may be determined in advance. In this case, the generating unit 2060 uses the evaluation formula to calculate the recommendation level for each non-dangerous area. Then, for example, the generation unit 2060 selects the non-dangerous area with the highest degree of recommendation as the recommended area.

Here, multiple non-dangerous areas may be selected as recommended areas. For example, assume that N non-dangerous areas are selected as recommended areas. In this case, the generation unit 2060 selects N non-dangerous areas in ascending order of risk index value, or selects N non-dangerous areas in descending order of recommendation as described above.

<<Association of dangerous areas and non-hazardous areas>>
If there are a plurality of both dangerous areas and non-dangerous areas, for example, the generation unit 2060 determines a recommended non-dangerous area for each dangerous area, thereby associating the dangerous areas with the non-dangerous areas. good too. That is, a non-dangerous area associated with a dangerous area is treated as a recommended area for that dangerous area. In this case, the generation unit 2060 generates guidance information 40 recommending movement to the associated non-dangerous area for each dangerous area.

For example, the recommended area determined for the dangerous area X1 is the non-dangerous area Y1, and the recommended area determined for the dangerous area X2 is the non-dangerous area Y2. In this case, the generation unit 2060 outputs the guidance information 40 recommending movement to the non-dangerous area Y1 in a manner recognizable by the person 30 in the dangerous area X1. For example, the guidance information 40 is displayed on a display device provided in the dangerous area X1. In addition, the generating unit 2060 outputs the guidance information 40 recommending movement to the non-dangerous area Y2 in a manner recognizable by the person 30 in the dangerous area X2.

There are various methods of associating dangerous areas with non-dangerous areas. For example, the generation unit 2060 associates a dangerous area with a higher degree of danger with a non-dangerous area with a lower degree of danger. As a more specific example, the generation unit 2060 sorts the dangerous areas in descending order of the risk index value, and sorts the non-dangerous areas in ascending order of the risk index value. Then, the generating unit 2060 associates the dangerous areas and the non-dangerous areas with the same order with each other.

In addition, for example, the generation unit 2060 may select dangerous areas in descending order of risk index values and perform the following processing. First, the generation unit 2060 calculates the recommendation level of each non-dangerous area for the selected dangerous area using the evaluation formula described above. The generation unit 2060 associates the non-dangerous area with the highest degree of recommendation with the dangerous area. The non-dangerous areas selected here are excluded from the options for the dangerous areas selected thereafter. By doing so, it is possible to give priority to the dangerous areas with the highest degree of danger, and appropriately associate them with the non-dangerous areas.

<<Timing for outputting a plurality of pieces of guidance information 40>>
When there are a plurality of associations between dangerous areas and non-dangerous areas, if the guidance information 40 is output simultaneously in each dangerous area, there is a risk that a large number of people will flow in a short period of time. Therefore, for example, the generation unit 2060 may change the timing of outputting the guidance information 40 for each dangerous area.

For example, the generation unit 2060 outputs the guidance information 40 while shifting the timing in order from the danger area with the highest danger index value. The length of time between when the output of the guidance information 40 is started in a certain dangerous area and when the output of the guidance information 40 is started in the next dangerous area may be a predetermined length. and may be determined dynamically. In the latter case, for example, the guidance information generation device 2000 monitors changes in the risk index value by repeatedly calculating the risk index value for the dangerous area to which the guidance information 40 is output. Then, the guidance information generation device 2000 detects when the risk index value becomes equal to or less than a predetermined value, or when the decrease in the risk index value reaches a predetermined rate (for example, when the risk index value decreases by 20%). case, etc.), the output of the guidance information 40 for the next dangerous area is started.

Although the present invention has been described with reference to the embodiments, the present invention is not limited to the above embodiments. Various changes that can be understood by those skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention.

It should be noted that, in the above examples, the program includes instructions (or software code) that, when read into the computer, cause the computer to perform one or more of the functions described in the embodiments. The program may be stored in a non-transitory computer-readable medium or tangible storage medium. By way of example, and not limitation, computer readable media or tangible storage media may include random-access memory (RAM), read-only memory (ROM), flash memory, solid-state drives (SSD) or other memory technology, CDs -ROM, digital versatile disc (DVD), Blu-ray disc or other optical disc storage, magnetic cassette, magnetic tape, magnetic disc storage or other magnetic storage device. The program may be transmitted on a transitory computer-readable medium or communication medium. By way of example, and not limitation, transitory computer readable media or communication media include electrical, optical, acoustic, or other forms of propagated signals.

Some or all of the above-described embodiments can also be described in the following supplementary remarks, but are not limited to the following.
(Appendix 1)
a calculation unit that calculates, for each of a plurality of areas, a risk index value representing the degree of risk of that area based on the characteristics of each person in that area;
a determination unit that determines whether each area is in a dangerous state based on the risk index value calculated for the area;
A guidance information generating device, comprising: a generator that generates guidance information that contributes to reducing the number of people in the dangerous area, which is the area determined to be in a dangerous state.
(Appendix 2)
The calculation unit calculates, as features of a person in the area, age of the person, disability of the person, biometric information of the person, high risk of aggravation of the disease of the person, 2. The guidance information generating device according to claim 1, which utilizes one or more of whether the person is vaccinated against a disease and the number of times the person has been vaccinated.
(Appendix 3)
3. Guidance information generation according to appendix 1 or 2, wherein the calculation unit calculates the risk index value using the number or density of persons whose features satisfy a predetermined condition among persons in the area. Device.
(Appendix 4)
The calculation unit calculates a score based on the characteristics of each person in the area, and calculates the risk index value using the statistical value of the score calculated for each person. The guidance information generating device according to appendix 1 or 2.
(Appendix 5)
The calculation unit calculates the risk index value using statistical values of a score calculated based on the characteristics of each person in the area and a score calculated based on the characteristics of the environment of the area. The guidance information generating device according to appendix 4, which calculates
(Appendix 6)
The guidance according to appendix 5, wherein the calculation unit uses one or more of the good ventilation of the area and the concentration of a specific substance contained in the air of the area as the characteristics of the environment of the area. Information generator.
(Appendix 7)
The generating unit
associating the dangerous area with a non-dangerous area, which is the area that is not in a dangerous state;
7. The guidance information generation device according to any one of appendices 1 to 6, wherein, for each of the dangerous areas, guidance information that prompts movement to the non-dangerous area associated with the dangerous area is generated.
(Appendix 8)
8. The guidance information generating device according to appendix 7, wherein the generating unit associates the dangerous area with a higher risk index value with the non-dangerous area with a lower risk index value.
(Appendix 9)
The generating unit
generating guidance information capable of recognizing the specific dangerous area;
7. The guidance information generation device according to any one of appendices 1 to 6, wherein the guidance information is output in a manner recognizable by each person in the specific dangerous area.
(Appendix 10)
7. The generating unit according to any one of appendices 1 to 6, wherein the generation unit generates guidance information with which it is possible to identify whether or not each of the areas is the dangerous area, or information with which all the dangerous areas can be grasped. guidance information generator.
(Appendix 11)
The calculation unit
identifying characteristics of each person by analyzing captured images generated by a camera that captures the person in the area; or
11. The guidance information generating device according to any one of appendices 1 to 10, wherein the feature of each person is specified by acquiring information indicating the feature of the person, which is transmitted from a communication terminal possessed by each person.
(Appendix 12)
12. The guidance information generating device according to any one of additional notes 1 to 11, wherein the determination unit determines that the area is in a dangerous state when the risk index value of the area is equal to or greater than a threshold.
(Appendix 13)
A control method implemented by a computer, comprising:
a calculation step of calculating, for each of a plurality of areas, a risk index value representing the degree of risk of that area based on the characteristics of each person in that area;
a determination step of determining, for each of the areas, whether or not the area is in a dangerous state based on the risk index value calculated for the area;
and a generating step of generating guidance information that contributes to reducing the number of persons in the dangerous area, which is the area determined to be in a dangerous state.
(Appendix 14)
In the calculation step, the features of a person in the area include age of the person, disability of the person, biometric information of the person, high risk of aggravation of the disease of the person, and the person. 14. A method of control according to clause 13, utilizing any one or more of whether the person is vaccinated against the disease and the number of times the person has been vaccinated.
(Appendix 15)
15. The control method according to appendix 13 or 14, wherein, in the calculating step, the risk index value is calculated using the number or density of persons whose features satisfy a predetermined condition among persons in the area.
(Appendix 16)
In the calculating step, for each person in the area, a score based on the characteristics of the person is calculated, and the risk index value is calculated using the statistical value of the score calculated for each person; 15. The control method according to appendix 13 or 14.
(Appendix 17)
In the calculating step, the risk index value is calculated using a statistical value of a score calculated based on the characteristics of each person in the area and a score calculated based on the characteristics of the environment of the area. 17. The control method according to appendix 16, wherein
(Appendix 18)
18. The control according to appendix 17, wherein in the calculating step, one or more of the good ventilation of the area and the concentration of a specific substance contained in the air of the area are used as the characteristics of the environment of the area. Method.
(Appendix 19)
In the generating step,
associating the dangerous area with a non-dangerous area, which is the area that is not in a dangerous state;
19. The control method according to any one of appendices 13 to 18, wherein, for each of the dangerous areas, guidance information is generated to prompt movement to the non-dangerous area associated with the dangerous area.
(Appendix 20)
20. The control method according to appendix 19, wherein in the generating step, the dangerous area with a higher risk index value is associated with the non-dangerous area with a lower risk index value.
(Appendix 21)
In the generating step,
generating guidance information capable of recognizing the specific dangerous area;
19. The control method according to any one of appendices 13 to 18, wherein the guidance information is output in a manner recognizable by each person in the specific dangerous area.
(Appendix 22)
19. The method according to any one of appendices 13 to 18, wherein in the generating step, guidance information capable of identifying whether each of the areas is the dangerous area or information capable of grasping all the dangerous areas is generated. control method.
(Appendix 23)
In the calculating step,
identifying characteristics of each person by analyzing captured images generated by a camera that captures the person in the area; or
23. The control method according to any one of appendices 13 to 22, wherein the characteristics of each person are specified by acquiring information indicating the characteristics of the person transmitted from a communication terminal possessed by each person.
(Appendix 24)
24. The control method according to any one of appendices 13 to 23, wherein in the determining step, if the risk index value of the area is equal to or greater than a threshold, the area is determined to be in a dangerous state.
(Appendix 25)
to the computer,
a calculation step of calculating, for each of a plurality of areas, a risk index value representing the degree of risk of that area based on the characteristics of each person in that area;
a determination step of determining, for each of the areas, whether or not the area is in a dangerous state based on the risk index value calculated for the area;
and a generation step of generating guidance information that contributes to reducing the number of people in the dangerous area, which is the area determined to be in a dangerous state.
(Appendix 26)
In the calculation step, the features of a person in the area include age of the person, disability of the person, biometric information of the person, high risk of aggravation of the disease of the person, and the person. 26. The program of Clause 25, utilizing any one or more of whether the person is vaccinated against the disease and the number of times the person has been vaccinated.
(Appendix 27)
27. The program according to appendix 25 or 26, wherein, in the calculating step, the risk index value is calculated using the number or density of persons whose features satisfy a predetermined condition among persons in the area.
(Appendix 28)
In the calculating step, for each person in the area, a score based on the characteristics of the person is calculated, and the risk index value is calculated using the statistical value of the score calculated for each person; 27. The program according to appendix 25 or 26.
(Appendix 29)
In the calculating step, the risk index value is calculated using a statistical value of a score calculated based on the characteristics of each person in the area and a score calculated based on the characteristics of the environment of the area. 29. The program according to Appendix 28, which calculates
(Appendix 30)
29. The program according to appendix 29, wherein in the calculating step, as the characteristics of the environment of the area, one or more of the goodness of ventilation of the area and the concentration of a specific substance contained in the air of the area is used. .
(Appendix 31)
In the generating step,
associating the dangerous area with a non-dangerous area, which is the area that is not in a dangerous state;
31. The program according to any one of appendices 25 to 30, wherein, for each of the dangerous areas, guidance information that prompts movement to the non-dangerous area associated with the dangerous area is generated.
(Appendix 32)
32. The program according to appendix 31, wherein in the generating step, the dangerous area having a higher risk index value and the non-dangerous area having a lower risk index value are associated with each other.
(Appendix 33)
In the generating step,
generating guidance information capable of recognizing the specific dangerous area;
31. The program according to any one of appendices 25 to 30, wherein the guidance information is output in a manner recognizable by each person in the specific dangerous area.
(Appendix 34)
31. The method according to any one of Appendices 25 to 30, wherein in the generating step, guidance information capable of identifying whether each of the areas is the dangerous area or information capable of grasping all the dangerous areas is generated. program.
(Appendix 35)
In the calculating step,
identifying characteristics of each person by analyzing captured images generated by a camera that captures the person in the area; or
35. The program according to any one of appendices 25 to 34, wherein the feature of each person is specified by acquiring information indicating the feature of the person transmitted from a communication terminal possessed by each person.
(Appendix 36)
36. The program according to any one of appendices 25 to 35, wherein in the determination step, if the risk index value of the area is equal to or greater than a threshold, the area is determined to be in a dangerous state.

10 Area 20 Location to be monitored 30 Person 40 Guidance information 500 Computer 502 Bus 504 Processor 506 Memory 508 Storage device 510 Input/output interface 512 Network interface 2000 Guidance information generation device 2020 Calculation unit 2040 Judgment unit 2060 Generation unit

Claims (14)

a calculation unit that calculates, for each of a plurality of areas, a risk index value representing the degree of risk of that area based on the characteristics of each person in that area;
a determination unit that determines whether each area is in a dangerous state based on the risk index value calculated for the area;
A guidance information generating device, comprising: a generator that generates guidance information that contributes to reducing the number of people in the dangerous area, which is the area determined to be in a dangerous state. The calculation unit calculates, as features of a person in the area, age of the person, disability of the person, biometric information of the person, high risk of aggravation of the disease of the person, 2. The guidance information generating device according to claim 1, which utilizes one or more of whether the person is vaccinated against the disease and the number of times the person has been vaccinated. 3. The guidance information according to claim 1, wherein said calculation unit calculates said risk index value using the number or density of persons whose features satisfy a predetermined condition among persons in said area. generator. The calculation unit calculates a score based on the characteristics of each person in the area, and calculates the risk index value using the statistical value of the score calculated for each person. The guidance information generating device according to claim 1 or 2. The calculation unit calculates the risk index value using statistical values of a score calculated based on the characteristics of each person in the area and a score calculated based on the characteristics of the environment of the area. The guidance information generating device according to claim 4, which calculates the 6. The calculation unit according to claim 5, wherein the calculation unit uses one or more of good ventilation of the area and a concentration of a specific substance contained in the air of the area as the environmental characteristics of the area. Guidance information generator. The generating unit
associating the dangerous area with a non-dangerous area, which is the area that is not in a dangerous state;
7. The guidance information generating device according to any one of claims 1 to 6, which generates, for each of said dangerous areas, guidance information for prompting movement to said non-dangerous area associated with said dangerous area. 8. The guidance information generating device according to claim 7, wherein said generation unit associates said dangerous area with a higher risk index value with said non-dangerous area with a lower risk index value. The generating unit
generating guidance information capable of recognizing the specific dangerous area;
7. The guidance information generation device according to any one of claims 1 to 6, wherein the guidance information is output in a manner recognizable by each person in the specific dangerous area. 7. The generating unit according to any one of claims 1 to 6, wherein the generating unit generates guidance information with which it is possible to identify whether each of the areas is the dangerous area, or information with which all the dangerous areas can be grasped. Guidance information generating device described. The calculation unit
identifying characteristics of each person by analyzing captured images generated by a camera that captures the person in the area; or
The guidance information generating device according to any one of claims 1 to 10, wherein the feature of each person is specified by acquiring information indicating the feature of the person transmitted from a communication terminal possessed by each person. The guidance information generating device according to any one of claims 1 to 11, wherein the determination unit determines that the area is in a dangerous state when the risk index value of the area is equal to or greater than a threshold. A control method implemented by a computer, comprising:
a calculation step of calculating, for each of a plurality of areas, a risk index value representing the degree of risk of that area based on the characteristics of each person in that area;
a determination step of determining, for each of the areas, whether or not the area is in a dangerous state based on the risk index value calculated for the area;
and a generating step of generating guidance information that contributes to reducing the number of persons in the dangerous area, which is the area determined to be in a dangerous state. to the computer,
a calculation step of calculating, for each of a plurality of areas, a risk index value representing the degree of risk of that area based on the characteristics of each person in that area;
a determination step of determining, for each of the areas, whether or not the area is in a dangerous state based on the risk index value calculated for the area;
and a generation step of generating guidance information that contributes to reducing the number of people in the dangerous area, which is the area determined to be in a dangerous state.

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