WO2022259902A1 - Dispositif de génération d'informations de guidage, procédé de commande, et support non transitoire lisible par ordinateur - Google Patents

Dispositif de génération d'informations de guidage, procédé de commande, et support non transitoire lisible par ordinateur Download PDF

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Publication number
WO2022259902A1
WO2022259902A1 PCT/JP2022/022024 JP2022022024W WO2022259902A1 WO 2022259902 A1 WO2022259902 A1 WO 2022259902A1 JP 2022022024 W JP2022022024 W JP 2022022024W WO 2022259902 A1 WO2022259902 A1 WO 2022259902A1
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area
person
dangerous
guidance information
index value
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PCT/JP2022/022024
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English (en)
Japanese (ja)
Inventor
彩香 古川
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Ｎｅｃプラットフォームズ株式会社
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Publication of WO2022259902A1 publication Critical patent/WO2022259902A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B27/00—Alarm systems in which the alarm condition is signalled from a central station to a plurality of substations

Definitions

  • This disclosure relates to technology for guiding people.
  • 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.
  • 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.
  • Patent Documents 1 and 2 do not refer to indicators other than the degree of congestion as indicators for determining whether guidance is necessary or where to guide.
  • 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.
  • the non-transitory computer-readable medium of the present disclosure stores a program that causes a computer to execute the control method of the present disclosure.
  • FIG. 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
  • 4 is a flowchart illustrating the flow of processing executed by the guidance information generating device of Embodiment 1;
  • 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.
  • 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. 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 generating device 2000 is used to guide the person 30 in a monitored location (monitored location 20) composed of a plurality of areas 10.
  • the monitored location 20 is any facility such as an exhibition hall, a museum, or an art gallery.
  • 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, etc.).
  • 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 generation device 2000 determines whether each area 10 is in a dangerous state based on the characteristics of the person 30 in each of the areas 10 .
  • the area 10 that is in a dangerous state is also referred to as a dangerous area
  • the area 10 that is not in a dangerous state is also referred to as a non-dangerous area.
  • a variety of situations can be handled as dangerous situations. 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.
  • the guidance information generation 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.
  • 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.
  • 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 .
  • the guidance information generation device 2000 of this embodiment will be described in more detail below.
  • FIG. 2 is a block diagram illustrating the functional configuration of the guidance information generating device 2000 of Embodiment 1.
  • 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.
  • 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.).
  • 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 the computer 500 that implements the guidance information generating device 2000.
  • Computer 500 is any computer.
  • the computer 500 is a stationary computer such as a PC (Personal Computer) or a server machine.
  • 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.
  • the functions of the guidance information generating device 2000 are realized on the computer 500.
  • the application is composed of a program for realizing each functional component of the guidance information generation device 2000 .
  • the acquisition method of the above program is arbitrary.
  • the program can be acquired from a storage medium (DVD disc, USB memory, etc.) in which the program is stored.
  • 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 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.
  • 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), GPU (Graphics Processing Unit), or 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.
  • 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 .
  • the guidance information generation 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.
  • FIG. 4 is a flowchart illustrating the flow of processing executed by the guidance information generating device 2000 of the first embodiment.
  • 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).
  • 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 characteristics of the person 30 in the area 10.
  • the characteristics of the person 30 used for calculating the risk index value.
  • 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 as characteristics of the person 30, for example.
  • the disease here is, for example, a disease that is susceptible to the surrounding environment, such as an infectious disease or an allergy.
  • the number of vaccinations can be used as a feature.
  • 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.
  • 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".
  • a disability-based score is specified, for example, using a score that is pre-associated with each type of disability. For example, scores Sd1 to Sd5 are associated with disability types D1 to D5, respectively. In this case, for a person 30 with disability D1, the disability-based score is Sd1.
  • a score based on biometric information can be determined in the same way as a score based on age. 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, normal range and abnormal range.
  • the normal range and the abnormal range may be further subdivided.
  • an abnormal range is divided into multiple areas, the more abnormal the range, the higher the score.
  • the normal range is dividing the normal range into a plurality of sections, the higher the normal range, the smaller the score.
  • a score is assigned for each case of vaccination and non-vaccination.
  • the score for the case of vaccination should be lower than the score for the case of no vaccination (eg, zero).
  • 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.
  • a score based on the high risk of aggravation of the disease is assigned, for example, for cases where the risk of aggravation is high and for cases where the risk of aggravation is not high.
  • 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.
  • the high risk of aggravation of the disease can be predicted 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.
  • 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.
  • the calculation unit 2020 does not directly use the risk index value calculated by the method described above, but divides the value by the size of the area 10 and uses the value 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.
  • 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). For example, good ventilation can be used as the environmental feature of the area 10 . For example, from the viewpoint of preventing infectious diseases, it is considered that the poorly ventilated area 10 has a higher degree of risk. In addition to infectious diseases, places with poor ventilation are thought to be unfavorable from a health standpoint.
  • the score for the environmental feature of ventilation is set so that the lower the 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 .
  • the concentration of a specific substance (eg, CO2) contained in the air of area 10 can be used.
  • 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 less favorable it is for health. 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.
  • 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.
  • the calculator 2020 detects the person 30 in the area 10 using an image generated by a camera (hereinafter referred to as captured image).
  • a camera is provided so as to overlook the area 10 .
  • the calculator 2020 detects the person 30 in the area 10 using the captured image obtained from the camera.
  • a camera may be provided to capture an image of the person 30 passing through the doorway of the area 10.
  • 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 .
  • 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.
  • various existing techniques such as a method using facial features, can be used.
  • 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 .
  • a communication terminal provided in the area 10 is referred to as an area terminal
  • 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.
  • a mobile terminal, a wearable terminal (a watch-type device or an eyeglass-type device), or the like can be used 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.
  • the detection of the person 30 using communication between communication terminals can be performed, for example, as follows.
  • 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.
  • the user terminal Upon receiving the request message, the user terminal transmits a response message containing 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.
  • 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.
  • 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.
  • the calculation unit 2020 can grasp the characteristics of the person 30 in the area 10 from the content of the response message.
  • 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.
  • the calculation unit 2020 acquires the characteristics associated with the identification information of each person 30 in the area 10 from the storage unit.
  • 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.
  • the characteristics of each person 30 may be dynamically identified using various sensors provided in the area 10.
  • 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.
  • 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.
  • 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).
  • multiple ranks with different degrees of danger may be defined as dangerous states.
  • 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.
  • the determination unit 2040 determines that the area 10 is a rank 1 dangerous area if the danger level threshold of the area 10 is T1 or more. If the risk level threshold of area 10 is less than T1 and equal to or greater than T2, determination section 2040 determines that area 10 is a rank 2 dangerous area. If the risk level threshold of area 10 is less than T2 and equal to or greater than T3, determination section 2040 determines that area 10 is a rank 3 dangerous area. Then, if the risk level threshold of area 10 is less than T3, determination section 2040 determines that area 10 is a non-dangerous area.
  • 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.
  • the generation unit 2060 outputs the guidance information 40 using various hardware. There are various methods of outputting the guidance information 40 .
  • each area 10 is provided with one or more display devices capable of displaying information, such as digital signage.
  • the generation unit 2060 causes the display device provided in the area 10 to display the content of the guidance information 40 .
  • each area 10 is provided with one or more speakers capable of outputting information by voice.
  • the generation unit 2060 causes the speaker provided in the area 10 to output a sound representing the content of the guidance information 40 .
  • the guidance information 40 may be transmitted to a communication terminal possessed by each person 30.
  • the guidance information 40 is output from the display device or speaker of the communication terminal.
  • an application for processing request messages is installed in the communication terminal possessed by each person 30 .
  • 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.
  • the specific contents of the guidance information 40 are exemplified below.
  • the guidance information 40 is information with which a specific dangerous area can be recognized.
  • 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.
  • 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.
  • 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.
  • an image that expresses that the area is a dangerous area with a color or pattern can be used as the guide information 40 that enables recognition that a certain area 10 is a dangerous area.
  • a red image represents a dangerous area
  • a blue image represents a non-dangerous area.
  • 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.
  • guidance information 40 indicating that the area 10 is a non-dangerous area may be further output.
  • guidance information 40 that enables recognition of whether or not the area 10 is a dangerous area is output.
  • 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 .
  • 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. .
  • the generation unit 2060 may generate the guidance information 40 that allows all dangerous areas to be grasped.
  • guidance information 40 is a list of dangerous area names and the like.
  • the guidance information 40 may be information that can identify whether each area 10 is a dangerous area.
  • 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.
  • 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.
  • the guidance information 40 is not limited to information that enables recognition of whether the area 10 is a dangerous area.
  • 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.
  • 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.
  • 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 .
  • the generator 2060 randomly selects a recommended area from among a plurality of non-dangerous areas.
  • the generating unit 2060 selects a recommended area based on the risk index value of each non-dangerous area.
  • 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.
  • 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.
  • 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.
  • non-dangerous areas may be selected as recommended areas.
  • the generation unit 2060 selects N non-dangerous areas in descending order of risk index values, or selects N non-dangerous areas in descending order of the degree of recommendation described above.
  • 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.
  • the recommended area determined for the dangerous area X1 is the non-dangerous area Y1
  • the recommended area determined for the dangerous area X2 is the non-dangerous area Y2.
  • 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.
  • the guidance information 40 is displayed on a display device provided in the dangerous area X1.
  • 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.
  • 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.
  • 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.
  • the generation unit 2060 may select dangerous areas in descending order of risk index values and perform the following processing.
  • 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.
  • 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.
  • 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.
  • the program includes instructions (or software code) that, when read into a computer, cause the computer to perform one or more functions described in the embodiments.
  • the program may be stored in a non-transitory computer-readable medium or tangible storage medium.
  • 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.
  • transitory computer readable media or communication media include electrical, optical, acoustic, or other forms of propagated signals.

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Abstract

La présente invention concerne un dispositif de génération d'informations de guidage (2000) calculant, sur la base de caractéristiques de personnes (30) à l'intérieur de chacune d'une pluralité de zones (10), une valeur d'indicateur de risque qui représente le degré de risque de la zone (10). Le dispositif de génération d'informations de guidage (2000) détermine, pour chacune des zones (10), si la zone (10) est ou non dans un état dangereux sur la base de la valeur d'indicateur de risque qui a été calculée pour la zone (10). Le dispositif de génération d'informations de guidage (2000) génère des informations de guidage (40) qui contribuent à réduire le nombre de personnes dans une zone (10) qui a été déterminée comme étant dans un état dangereux.
PCT/JP2022/022024 2021-06-09 2022-05-31 Dispositif de génération d'informations de guidage, procédé de commande, et support non transitoire lisible par ordinateur WO2022259902A1 (fr)

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JP2021-096837 2021-06-09

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2014186447A (ja) * 2013-03-22 2014-10-02 Nec Corp 感染危険エリア特定システム、感染危険エリア特定方法、及びプログラム
WO2019239813A1 (fr) * 2018-06-14 2019-12-19 パナソニックＩｐマネジメント株式会社 Procédé de traitement d'informations, programme de traitement d'informations et système de traitement d'informations
JP2020027610A (ja) * 2018-08-08 2020-02-20 パナソニックＩｐマネジメント株式会社 情報提供方法、サーバ、音声認識装置、情報提供プログラム、及び情報提供システム

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WO2017072923A1 (fr) 2015-10-29 2017-05-04 株式会社 テクノミライ Système, procédé, et programme de prise en charge de sécurité numérique

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2014186447A (ja) * 2013-03-22 2014-10-02 Nec Corp 感染危険エリア特定システム、感染危険エリア特定方法、及びプログラム
WO2019239813A1 (fr) * 2018-06-14 2019-12-19 パナソニックＩｐマネジメント株式会社 Procédé de traitement d'informations, programme de traitement d'informations et système de traitement d'informations
JP2020027610A (ja) * 2018-08-08 2020-02-20 パナソニックＩｐマネジメント株式会社 情報提供方法、サーバ、音声認識装置、情報提供プログラム、及び情報提供システム

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