Information Processing Systems

Abstract

To preliminarily predict a crisis that jeopardizes a human life and, when a risk of causing the crisis has augmented, automatically report the fact to an owner of a vehicle and his / her family.SOLUTION: In an information processing system 20, a controller 120 of a vehicle 12 includes a first request unit 120A that requests prediction units 142A, 142B, etc., which predict occurrence of an event which relates to a crisis jeopardizing a human life, and exist in a general cloud 14A which is constructed in a server 14 and connectable around the clock, to predict occurrence of the event every time predetermined time elapses, and a second request unit 120B that, when the prediction unit predicts in response to the request from the first request unit 120A that the event may occur, requests a processing unit 146, which exists in a private cloud 14B, to implement processing concerning the event in at least one of the own processor and plural predesignated terminals 18A to 18C.SELECTED DRAWING: Figure 8

Description

[Technical Field]

[0001] The present invention relates to a control device, an information processing system, and a program. [Background technology]

[0002] Patent Document 1 describes a vehicle with an automatic driving function. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-035198 Summary of the Invention [Means for solving the problem]

[0004] According to one embodiment of the present invention, there is provided a control device mounted on a vehicle, the control device comprising: a first request unit that resides in a general cloud that is always connected and that requests a prediction unit that predicts the occurrence of an event related to a life-threatening crisis to predict the occurrence of the event every time a predetermined time has elapsed; and a second request unit that, when the prediction unit predicts that the event will occur as a result of the request by the first request unit, requests a processing unit that resides in a private cloud to execute processing related to the event for the control device itself and at least one device of a predetermined number of terminals.

[0005] According to one embodiment of the present invention, there is provided an information processing system including the control device, the prediction unit, the processing unit, and the plurality of terminals.

[0006] According to one embodiment of the present invention, there is provided a program for causing a computer to function as the control device.

[0007] The above summary of the invention does not list all of the necessary features of the present invention, and subcombinations of these features may also constitute inventions. [Brief explanation of the drawings]

[0008] [Figure 1] 1 shows an example of a functional configuration of an information processing system 10. [Figure 2] 1 illustrates an example of a network configuration according to an embodiment of the present invention. [Figure 3] 2 is a diagram illustrating an example of a network configuration within a vehicle according to the present embodiment. [Figure 4] 2 illustrates an example of a processing routine executed by an information processing device. [Figure 5] This is an overview of Level 6 SOS. [Figure 6] This is an overview of Level 6 SOS. [Figure 7] An example of the hardware configuration of a computer 1200 that functions as the control device 120, the Central Brain 120, the server 14, or multiple terminals 18A, 18B, and 18C is shown in schematic form. [Figure 8] 2 shows an example of a functional configuration of an information processing system 20. [Figure 9] 3 shows an example of a processing routine executed by the control device. DETAILED DESCRIPTION OF THE INVENTION

[0009] The present invention will be described below through embodiments of the invention, but the following embodiments do not limit the scope of the invention according to the claims. Furthermore, not all of the combinations of features described in the embodiments are necessarily essential to the solution of the invention.

[0010] [First embodiment] The information processing system of this embodiment predicts life-threatening crises in advance, and if the risk of such a crisis increases, it immediately and automatically notifies the vehicle owner and their family. Furthermore, the information processing system of this embodiment constantly calculates the vehicle's evacuation route and the time it takes to reach the evacuation shelter, and notifies the vehicle owner and their family of this information when making the above-mentioned notification. Furthermore, the information processing system of this embodiment may notify an access point, such as an evacuation shelter, for the vehicle in advance. If an access point has not been determined, the information processing system of this embodiment also calculates second and third access points and notifies the vehicle owner and their family of the location of the access points, etc.

[0011] Examples of crises that threaten human life include earthquakes, major fires, lightning, typhoons, heavy snow, storms, tsunamis, missiles, nuclear explosions, and wars.

[0012] 1 is a schematic diagram of an example of an information processing system 10 according to this embodiment. The information processing system 10 includes a control device 120 mounted on a vehicle 12, a server 14 which is an example of an information processing device, and a plurality of terminals 18A, 18B, and 18C. The control device 120, the server 14, and the plurality of terminals 18A, 18B, and 18C are communicatively connected via a communication line 16 such as the Internet.

[0013] The control device 120 is an example of a vehicle control device. Note that, hereinafter, the control device 120 is also referred to as a Central Brain 120.

[0014] Note that "Level 6" explained below is a level that represents automated driving, and is equivalent to a level higher than Level 5, which represents fully automated driving. Although Level 5 represents fully automated driving, it is at the same level as human driving, and there is still a chance of accidents occurring. Level 6 represents a level higher than Level 5, and is equivalent to a level where the probability of accidents occurring is lower than Level 5.

[0015] Fig. 2 is a diagram illustrating the communication environment to which the Central Brain 120 according to this embodiment is connected. As shown in Fig. 2, the Central Brain 120 can switch between a general cloud and a private cloud as a communication destination. For example, the private cloud is realized by a VPN (Virtual Private Network).

[0016] FIG. 3 is a diagram illustrating the configuration of the Central Brain 120 inside the vehicle 12. As shown in FIG. 3, a plurality of Gateway Ways are communicatively connected to the Central Brain 120. The Central Brain 120 is connected to an external cloud via the Gateway Ways. The Central Brain 120 is configured to be able to access the external cloud via the Gateway Ways. On the other hand, the existence of the Gateway Ways means that the Central Brain 120 cannot be directly accessed from the outside.

[0017] The Central Brain 120 outputs a request signal to the server 14 every time a predetermined time elapses. Specifically, the Central Brain 120 outputs a request signal representing an inquiry to the server 14 every billionth of a second.

[0018] The server 14 repeatedly executes the flowchart shown in FIG.

[0019] In step S100, the reception unit 140 of the server 14 receives the request signal output from the Central Brain 120.

[0020] The information storage unit 141 of the server 14 stores all kinds of information that may be precursors to earthquakes, major fires, lightning, typhoons, heavy snow, storms, tsunamis, missiles, nuclear explosions, wars, etc. 24 hours a day, 365 days a year. The information storage unit 141 is an example of a memory unit.

[0021] In step S102, when the prediction unit 142 of the server 14 receives a request signal output from the Central Brain 120, it predicts the occurrence of an event related to a life-threatening crisis based on various information stored in the information storage unit 141.

[0022] In step S104, the prediction unit 142 of the server 14 determines whether or not a life-threatening event will actually occur based on the prediction result in step S102. For example, the prediction unit 142 of the server 14 determines that a life-threatening event will occur if the probability of the event occurring is equal to or greater than a predetermined value.

[0023] The prediction unit 142 of the server 14 constantly calculates the timing and probability of a life-threatening crisis by analyzing the information stored in the information storage unit 141 using AI (artificial intelligence). "Constantly" may be on the order of one billionth of a second. Note that, because the signs of a life-threatening crisis may be known more than one hour before they occur, this information may be used.

[0024] In step S106, if the prediction unit 142 determines that a certain event will occur, the notification unit 144 of the server 14 notifies the Central Brain 120 of the vehicle 12 and at least one device of the multiple terminals 18A, 18B, and 18C of the determination result. Note that at this time, for example, the notification unit 144 of the server 14 may also notify the Central Brain 120 of the vehicle 12 and the multiple terminals 18A, 18B, and 18C of information regarding candidate locations for access points that are evacuation sites for the vehicle 12.

[0025] The Central Brain 120 outputs a message indicating that a life-threatening event has occurred to a display device (not shown) or the like in the vehicle 12. The occupants of the vehicle 12 confirm this message and take action such as heading to an access point.

[0026] Each of the plurality of terminals 18A, 18B, 18C is owned, for example, by a family member of a passenger in the vehicle 12. Each of the plurality of terminals 18A, 18B, 18C outputs a message on its own display device (not shown) or the like that a life-threatening event has occurred. The passenger's family member confirms this message and checks the access point or the like of the vehicle 12.

[0027] As described above, the server 14 notifies the vehicle 12 equipped with the Central Brain 120 and the multiple terminals 18A, 18B, and 18C owned by pre-registered members (e.g., family members) of the occurrence of a crisis. At that time, the server 14 may notify the degree of risk of the crisis, the route to a safe place, and the time it will take to reach the safe place. The server 14 may also notify the evacuation destination, route, and access time. The server 14 may also contact the access destination by phone or make an appointment, and if the access destination cannot be contacted, may contact second and third candidate access points.

[0028] Furthermore, since the traffic information used by the Central Brain 120 is mission-critical, the server 14 connects to the completely private Central Brain 120 via VPN, providing chip-to-chip level security and only connecting to the Central Brain 120. On the other hand, the Central Brain 120 is connected to the cloud via a Zone Gateway, allowing it to always connect to general cloud information.

[0029] As mentioned above, it is not possible to enter the Central Brain 120 from the Gateway, but it is possible to make inquiries from the Central Brain 120 to other vehicles. The Central Brain 120 may also make inquiries to the Central Brains of other vehicles.

[0030] As described above, the information processing system 10 according to this embodiment utilizes AI technology to predict the probability and timing of life-threatening crises such as natural disasters and nuclear accidents, and provides a push-type SOS function to protect human lives. Specifically, in the information processing system 10 according to this embodiment, the Central Brain 120 connected to the zone gateway accesses information on the public cloud and performs calculations every nanosecond to protect the lives of smart car owners and their families.

[0031] According to the information processing system 10 of this embodiment, all risks (for example, earthquakes, fires, lightning, typhoons, heavy snow, heavy rain, tsunamis, missiles, nuclear explosions, and war) are predicted in advance, and when the risk increases, family members are automatically notified. Specifically, the information processing system 10 of this embodiment issues a PUSH SOS while calculating the timing of the event and safety. The information processing system 10 also performs simulations in nanosecond units (for example, evacuation destinations, evacuation routes, and access times). The information processing system 10 of this embodiment also contacts access points in advance to make reservations (for example, if an access point is unavailable, it performs risk calculations for the second, third, and subsequent options).

[0032] 5 and 6 are schematic diagrams of the above content.

[0033] 7 schematically illustrates an example of the hardware configuration of a computer 1200 functioning as the control device 120, the Central Brain 120, the server 14, or multiple terminals 18A, 18B, and 18C. A program installed on the computer 1200 can cause the computer 1200 to function as one or more "parts" of an apparatus according to the present embodiment, or to execute one or more operations or "parts" associated with the apparatus according to the present embodiment, and / or to execute a process or steps of the process according to the present embodiment. Such a program can be executed by the CPU 1212 to cause the computer 1200 to perform specific operations associated with some or all of the blocks in the flowcharts and block diagrams described herein.

[0034] The computer 1200 according to this embodiment includes a CPU 1212, a RAM 1214, and a graphics controller 1216, which are interconnected by a host controller 1210. The computer 1200 also includes input / output units such as a communications interface 1222, a storage device 1224, a DVD drive, and an IC card drive, which are connected to the host controller 1210 via an input / output controller 1220. The DVD drive may be a DVD-ROM drive, a DVD-RAM drive, or the like. The storage device 1224 may be a hard disk drive, a solid-state drive, or the like. The computer 1200 also includes a ROM 1230 and legacy input / output units such as a keyboard, which are connected to the input / output controller 1220 via an input / output chip 1240.

[0035] The CPU 1212 operates according to programs stored in the ROM 1230 and the RAM 1214, thereby controlling each unit. The graphics controller 1216 acquires image data generated by the CPU 1212 into a frame buffer or the like provided in the RAM 1214 or into the graphics controller itself, and causes the image data to be displayed on the display device 1218.

[0036] The communication interface 1222 communicates with other electronic devices via a network. The storage device 1224 stores programs and data used by the CPU 1212 in the computer 1200. The DVD drive reads programs or data from a DVD-ROM or the like and provides them to the storage device 1224. The IC card drive reads programs and data from an IC card and / or writes programs and data to an IC card.

[0037] The ROM 1230 stores therein a boot program or the like that is executed by the computer 1200 upon activation, and / or programs that depend on the hardware of the computer 1200. The input / output chip 1240 may also connect various input / output units to the input / output controller 1220 via a USB port, a parallel port, a serial port, a keyboard port, a mouse port, etc.

[0038] The programs are provided by a computer-readable storage medium such as a DVD-ROM or an IC card. The programs are read from the computer-readable storage medium, installed in the storage device 1224, RAM 1214, or ROM 1230, which are also examples of computer-readable storage media, and executed by the CPU 1212. Information processing described in these programs is read by the computer 1200, and causes cooperation between the programs and the various types of hardware resources described above. An apparatus or method may be configured by implementing operations or processing of information in accordance with the use of the computer 1200.

[0039] For example, when communication is performed between the computer 1200 and an external device, the CPU 1212 may execute a communication program loaded into the RAM 1214 and instruct the communication interface 1222 to perform communication processing based on the processing described in the communication program. Under the control of the CPU 1212, the communication interface 1222 reads transmission data stored in a transmission buffer area provided in the RAM 1214, the storage device 1224, a DVD-ROM, or a recording medium such as an IC card, and transmits the read transmission data to the network, or writes reception data received from the network to a reception buffer area or the like provided on the recording medium.

[0040] Furthermore, the CPU 1212 may cause all or a necessary portion of a file or database stored in an external recording medium such as the storage device 1224, a DVD drive (DVD-ROM), an IC card, etc. to be read into the RAM 1214, and may perform various types of processing on the data on the RAM 1214. The CPU 1212 may then write back the processed data to the external recording medium.

[0041] Various types of information, such as various types of programs, data, tables, and databases, may be stored on the recording medium and may undergo information processing. The CPU 1212 may perform various types of processing on data read from the RAM 1214, including various types of operations, information processing, conditional judgment, conditional branching, unconditional branching, information search / replacement, etc., as described throughout this disclosure and specified by the instruction sequences of the programs, and write the results back to the RAM 1214. The CPU 1212 may also search for information in a file, database, etc. on the recording medium. For example, if multiple entries, each having an attribute value of a first attribute associated with an attribute value of a second attribute, are stored on the recording medium, the CPU 1212 may search for an entry whose attribute value of the first attribute matches a specified condition from among the multiple entries, read the attribute value of the second attribute stored in the entry, and thereby obtain the attribute value of the second attribute associated with the first attribute that satisfies a predetermined condition.

[0042] The above-described programs or software modules may be stored in a computer-readable storage medium on or near the computer 1200. A recording medium such as a hard disk or RAM provided in a server system connected to a dedicated communication network or the Internet can also be used as a computer-readable storage medium, thereby providing the programs to the computer 1200 via the network.

[0043] The blocks in the flowcharts and block diagrams in the present embodiments may represent stages of a process in which an operation is performed or "parts" of an apparatus responsible for performing the operation. Particular stages and "parts" may be implemented by dedicated circuitry, programmable circuitry provided with computer-readable instructions stored on a computer-readable storage medium, and / or a processor provided with computer-readable instructions stored on a computer-readable storage medium. The dedicated circuitry may include digital and / or analog hardware circuits, including integrated circuits (ICs) and / or discrete circuits. The programmable circuitry may include reconfigurable hardware circuits, such as field programmable gate arrays (FPGAs) and programmable logic arrays (PLAs), including AND, OR, XOR, NAND, NOR, and other logical operations, flip-flops, registers, and memory elements.

[0044] A computer-readable storage medium may include any tangible device capable of storing instructions that are executed by an appropriate device, such that a computer-readable storage medium having instructions stored thereon comprises an article of manufacture, including instructions that can be executed to create means for performing the operations specified in the flowcharts or block diagrams. Examples of computer-readable storage media may include electronic storage media, magnetic storage media, optical storage media, electromagnetic storage media, semiconductor storage media, etc. More specific examples of computer-readable storage media may include floppy disks, diskettes, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), electrically erasable programmable read-only memory (EEPROM), static random access memory (SRAM), compact disc read-only memory (CD-ROM), digital versatile disc (DVD), Blu-ray disc, memory stick, integrated circuit card, etc.

[0045] The computer readable instructions may include either assembler instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state-setting data, or source or object code written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Smalltalk®, JAVA®, C++, etc., and conventional procedural programming languages ​​such as the “C” programming language or similar programming languages.

[0046] Computer-readable instructions may be provided locally or over a wide area network (WAN) such as a local area network (LAN), the Internet, etc. to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, or programmable circuitry, such that the processor or programmable circuitry executes the computer-readable instructions to generate means for performing the operations specified in the flowcharts or block diagrams. Examples of processors include computer processors, processing units, microprocessors, digital signal processors, controllers, microcontrollers, etc.

[0047] [Second embodiment] In the general cloud, there are many AIs (hereinafter referred to as "specialized AI") that are specialized in predicting events that threaten human life, such as the above-mentioned earthquakes, major fires, lightning, typhoons, heavy snow, storms, tsunamis, missiles, nuclear explosions, and wars. In addition, as mentioned above, the general cloud is always available for connection.

[0048] Therefore, in the second embodiment, an example of a case where the results of crisis predictions made by many specialized AIs present in a general cloud are used will be described. Note that components similar to those in the first embodiment will be given the same reference numerals as in the first embodiment, and their description will be omitted as much as possible.

[0049] Fig. 8 is a diagram showing an example of the functional configuration of the information processing system 20 according to this embodiment. As shown in Fig. 8, the information processing system 20 according to this embodiment is provided with a control device 120 that is substantially similar to that of the first embodiment for the vehicle 12. However, the control device 120 according to this embodiment differs from the control device 120 of the first embodiment in that it includes a first request unit 120A and a second request unit 120B as functional components.

[0050] The first request unit 120A according to this embodiment resides in a general cloud that is always accessible, and requests a prediction unit (described later) that predicts the occurrence of a life-threatening event to predict the occurrence of the event every time a predetermined time (1 nanosecond in this embodiment) has elapsed. Note that the request by the first request unit 120A will be referred to as a "first request" below.

[0051] Furthermore, when the prediction unit predicts that the event will occur as a result of a request by the first request unit 120A, the second request unit 120B according to this embodiment requests a processing unit (described later) present in the private cloud to execute processing related to the event (hereinafter referred to as "request response processing") on at least one device of the control device 120 and the multiple terminals 18A, 18B, and 18C. Note that the request by the second request unit 120B will be referred to as a "second request" below.

[0052] 8, the server 14 according to this embodiment has the above-described general cloud 14A and private cloud 14B. As described above, for the sake of convenience, this embodiment will be described assuming that the general cloud 14A and the private cloud 14B are implemented by a single server 14, but this is not limiting. The general cloud 14A and the private cloud 14B may also be implemented by different servers.

[0053] The general cloud 14A according to this embodiment includes the above-described multiple prediction units 142A, 142B, etc., each of which predicts the occurrence of a life-threatening event in response to a request from the first request unit 120A. Note that, hereinafter, when the prediction units 142A, 142B, etc. are not to be distinguished from one another, they will be collectively referred to as the "prediction unit 142." As described above, for the sake of convenience, this embodiment will be described assuming that each prediction unit 142 is provided on one server 14, but this is not limiting. Each prediction unit 142 may be provided on a different server.

[0054] The multiple prediction units 142 according to this embodiment are each configured to predict a different type of event, but this is not limited to this. For example, two or more prediction units 142 may predict the occurrence of the same type of event. By predicting the occurrence of the same type of event using multiple prediction units 142, the occurrence of the event can be predicted with higher accuracy.

[0055] Furthermore, the prediction unit 142 according to this embodiment determines whether or not a corresponding event will actually occur, for example, by determining whether or not the probability of the event occurring is equal to or greater than a predetermined value, similar to the prediction unit 142 according to the first embodiment described above. Note that, because a sign of a life-threatening crisis may be known one hour or more before it occurs, this information may be used, similar to the prediction unit 142 according to the first embodiment.

[0056] In addition, in this embodiment, the prediction unit 142 uses the dedicated AI described above to predict the occurrence of a corresponding event, but is not limited to this. For example, the prediction unit 142 may use a general-purpose AI that predicts the occurrence of multiple types of events to predict the occurrence of the multiple types of events.

[0057] On the other hand, the private cloud 14B according to this embodiment includes the processing unit 146 described above, which executes the request handling process described above in response to a request from the second request unit 120B.

[0058] In this embodiment, the request response processing applies both a processing for notifying information about a target event (hereinafter referred to as "first processing") and a processing for guiding to an access point representing an evacuation site in response to the occurrence of the event (hereinafter referred to as "second processing"), but is not limited to this. For example, only one of the first processing and the second processing may be applied as the request response processing.

[0059] In addition, in this embodiment, the first process is a process of notifying the control device 120 and at least one of the multiple terminals 18A, 18B, and 18C of each piece of information, such as the type of event that will occur, the probability of the event occurring, the timing of the event occurring, and the location where the event will occur, but is not limited to this. For example, the first process may be a process of notifying one of the pieces of information, or a process of notifying a partial combination of the pieces of information.

[0060] Furthermore, in this embodiment, the second process includes a process of notifying the control device 120 and at least one of the terminals 18A, 18B, and 18C of information for moving to a safe place via a safe route, and a process of causing the control device 120 to automatically cruise the vehicle 12 to the safe place via the safe route, but is not limited to this. For example, either one of these processes may be applied as the second process.

[0061] The control device 120 according to this embodiment functions as a first request unit 120A and a second request unit 120B by repeatedly executing a program represented by the flowchart shown in Fig. 9 at predetermined time intervals (1 nanosecond in this embodiment). The operation of the control device 120 according to this embodiment will be described below with reference to Fig. 9. Fig. 9 is a flowchart showing an example of a processing routine executed by the control device 120.

[0062] 9, the first request unit 120A of the control device 120 transmits a first request signal indicating the above-described first request to all prediction units 142 provided in the general cloud 14A. Upon receiving the first request signal, each prediction unit 142 predicts the occurrence of an event of the type targeted by that unit, and transmits information indicating the prediction result (hereinafter referred to as "prediction result information") to the control device 120 that is the access source.

[0063] Therefore, in step S202, the control unit (not shown) of the control device 120 waits until it has completely received the prediction result information from all the prediction units 142 to which it has transmitted the first request signal.

[0064] In step S204, the control unit of the control device 120 determines whether or not there is a life-threatening event that is determined to actually occur based on the received prediction result information, and if the determination is negative, the process ends. If the determination is positive, the process proceeds to step S206.

[0065] In step S206, the second request unit 120B of the control device 120 transmits a second request signal indicating the above-described second request together with the corresponding prediction result information to the processing unit 146 provided in the private cloud 14B, and then ends this processing routine. Upon receiving the second request signal, the processing unit 146 executes both the above-described first processing and second processing (request response processing) using the received prediction result information.

[0066] In this way, the information processing system 20 according to the second embodiment uses multiple dedicated AIs to predict the occurrence of life-threatening events, while having a highly secure private cloud execute request response processing. This makes it possible to more accurately predict the occurrence of the events, and more appropriately respond to the predicted events.

[0067] Although the present invention has been described above using the embodiments, the technical scope of the present invention is not limited to the scope described in the above embodiments. It will be apparent to those skilled in the art that various modifications and improvements can be made to the above embodiments. It is clear from the claims that such modifications and improvements can also be included within the technical scope of the present invention.

[0068] It should be noted that the execution order of each process, such as operations, procedures, steps, and stages, in the devices, systems, programs, and methods shown in the claims, specifications, and drawings is not specifically stated as "before," "prior to," etc., and that the processes can be performed in any order unless the output of a previous process is used in a later process. Even if the operational flow in the claims, specifications, and drawings is described using "first," "next," etc. for convenience, this does not mean that the processes must be performed in this order. [Explanation of symbols]

[0069] 120 control device, 120A first request unit, 120B second request unit 120B, 14 server, 14A general cloud 14A, 14B private cloud, 142 prediction unit, 146 processing unit, terminal 18A, 18B, 18C, 1200 computer, 1210 host controller, 1212 CPU, 1214 RAM, 1216 graphic controller, 1218 display device, 1220 input / output controller, 1222 communication interface, 1224 storage device, 1230 ROM, 1240 input / output chip

Claims

1. A control device mounted on a vehicle, a first request unit that is present in a general cloud that is always accessible and that requests a prediction unit that predicts the occurrence of an event related to a life-threatening crisis to predict the occurrence of the event every time a predetermined time elapses; a second request unit that, when the prediction unit predicts that the event will occur as a result of the request by the first request unit, requests a processing unit present in the private cloud to execute processing related to the event on the device itself and at least one device of a predetermined plurality of terminals; a control device comprising: The prediction unit; the processing unit; the plurality of terminals; An information processing system having the above.

2. The event-related processing is at least one of a processing for notifying information about the event and a processing for guiding the user to an access point representing an evacuation site in response to the occurrence of the event. The information processing system according to claim 1 .

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