Information processing device, information processing method, and program

Abstract

Provided is an information processing device in which a signal acquiring unit acquires a base station signal from a base station that receives an identification signal that is emitted from a mobile body that flies through a predetermined airspace. A determination unit determines whether there is a possibility of falling off the mobile body on the basis of the base station signal. When it has been determined that there is a possibility that the mobile body may fall, an estimation unit estimates a fall region of the mobile body on the basis of the identification signal. An output unit outputs warning information pertaining to the estimation.

Description

Information processing device, information processing method, and program

[0001] The present disclosure relates to an information processing device, an information processing method, and a program.

[0002] The use of drones and other mobile objects flying in the sky is increasing. This has also raised concerns about the risk of accidents involving these vehicles. Therefore, proposals have been made to limit the extent of damage in the event of an accident.

[0003] When the information processing device described in Patent Document 1 receives a first alert from the flying object, it estimates the location where the flying object will fall and transmits the alert to terminals within a predetermined range from the estimated location where the flying object will fall.

[0004] The abnormality notification system described in Patent Document 2 acquires surrounding environment data indicating the surrounding environment of a traffic light, detects a drone based on the surrounding environment data, determines whether there is a possibility that the drone will fall based on the surrounding environment data, and presents information warning of the drone falling.

[0005] JP 2021-086387 A JP 2021-196879 A

[0006] In addition to the above-mentioned examples, there is a need to detect when a moving object falls or is at risk of falling, and to prevent damage.

[0007] In view of the above-mentioned problems, the present disclosure aims to provide an information processing device and the like that can contribute to reducing damage caused by accidents involving moving bodies.

[0008] The information processing device according to the present disclosure has a signal acquisition unit, a determination unit, an estimation unit, and an output unit. The signal acquisition unit acquires a base station signal from a base station that receives an identification signal transmitted by a mobile object flying in a predetermined airspace. The determination unit determines whether or not there is a possibility that the mobile object will fall based on the base station signal. If the estimation unit determines that there is a possibility that the mobile object will fall, it estimates a fall area of ​​the mobile object based on the identification signal. The output unit outputs alert information according to the estimation.

[0009] In the information processing method according to the present disclosure, a computer executes the following processes. The computer acquires a base station signal from a base station that receives an identification signal transmitted by a mobile object flying in a predetermined airspace. The computer determines whether or not there is a possibility that the mobile object will fall based on the base station signal. If the computer determines that there is a possibility that the mobile object will fall, it estimates a fall area of ​​the mobile object based on the base station signal. The computer outputs alert information related to the estimation.

[0010] A program according to the present disclosure causes a computer to execute the following processes. The computer acquires a base station signal from a base station that receives an identification signal transmitted by a mobile object flying in a predetermined airspace. The computer determines whether or not there is a possibility that the mobile object will fall based on the base station signal. If the computer determines that there is a possibility that the mobile object will fall, it estimates a fall area of ​​the mobile object based on the base station signal. The computer outputs alert information related to the estimation.

[0011] According to the present disclosure, it is possible to provide an information processing device, an information processing method, and a program that can contribute to reducing damage caused by accidents involving moving bodies.

[0012] FIG. 1 is a block diagram of an information processing device according to an embodiment. FIG. 2 is a flowchart of an information processing method according to an embodiment. FIG. 3 is a diagram of an information processing system according to an embodiment. FIG. 4 is a block diagram of an information processing device according to an embodiment. FIG. 5 is a block diagram of a base station according to an embodiment. FIG. 6 is a block diagram of a mobile body. FIG. 7 is a diagram of the contents of an identification signal. FIG. 8 is a diagram of a base station signal acquired by an information processing device. FIG. 9 is a diagram of a usage status of an information processing system according to an embodiment. FIG. 10 is a block diagram of an integrated control system according to an embodiment. FIG. 11 is a block diagram of a traffic light pole system. FIG. 12 is a flowchart of an information processing method according to an embodiment. FIG. 13 is a block diagram illustrating an example of a hardware configuration of a computer.

[0013] The present invention will be described below through embodiments of the invention, but the invention according to the claims is not limited to the following embodiments. Furthermore, not all of the configurations described in the embodiments are necessarily essential means for solving the problems. For clarity of explanation, the following description and drawings have been omitted and simplified as appropriate. In each drawing, the same elements are assigned the same reference numerals, and duplicate explanations are omitted as necessary.

[0014] <First Embodiment> Hereinafter, this embodiment will be described with reference to the drawings. FIG. 1 is a block diagram of an information processing device according to the first embodiment. The information processing device 10 receives a base station signal from a base station capable of receiving the identification signal of a mobile object, and determines whether there is a possibility (fall possibility) that the mobile object will fall. The information processing device 10 may be a computer connected to the base station. The information processing device 10 may be configured by a circuit including a calculation device associated with the base station. The information processing device 10 mainly includes a signal acquisition unit 11, a determination unit 12, an estimation unit 13, and an output unit 14.

[0015] The signal acquisition unit 11 acquires a base station signal from a base station that receives an identification signal transmitted by a mobile object flying in a predetermined airspace. That is, the base station receives the identification signal periodically transmitted by the mobile object. The mobile object is an air vehicle that moves at an altitude of several meters to several hundred meters above the ground. The mobile object is, for example, an unmanned aerial vehicle known as a drone. The mobile object may also be an air vehicle (also known as a flying car) that operates with one or several people on board. The identification signal is a signal transmitted by the mobile object at a frequency of, for example, approximately once every several hundred milliseconds. The identification signal includes, for example, information indicating that the mobile object is moving with permission. The identification signal also includes authentication data for authenticating the mobile object. The identification signal includes the time the identification signal was transmitted and the location data of the mobile object at the time the identification signal was transmitted.

[0016] The determination unit 12 determines whether or not there is a possibility that the mobile object is falling based on the base station signal. More specifically, for example, the determination unit 12 recognizes the change in the position of the mobile object from the position data of the mobile object included in the acquired base station signal. Here, the determination unit 12 may accumulate base station signals for a predetermined period going back from a newly received base station signal and determine whether or not there is a possibility that the mobile object is falling based on the accumulated base station signals. By calculating changes in the position data included in the accumulated base station signals, the determination unit 12 can determine whether or not the mobile object is moving toward the ground at a speed equal to or greater than a threshold speed or is close to falling.

[0017] Furthermore, the determination unit 12 can determine that there is a possibility that the mobile body will fall when it reads information indicating an abnormal state of the mobile body from the base station signal. Furthermore, the determination unit 12 can determine that there is a possibility that the mobile body will fall when the identification signal that the base station has been continuously receiving is interrupted. Alternatively, the determination unit 12 may determine that there is a possibility that the mobile body will fall when the mobile body is not moving along a normal operating route. While not limited to the above determination, the determination unit 12 has pre-set conditions for determining that there is a possibility that the mobile body will fall, and determines that there is a possibility that the mobile body will fall when the conditions are met.

[0018] When the determination unit 12 determines that there is a possibility that the moving object will fall, the estimation unit 13 estimates a fall area of ​​the moving object based on the acquired base station signal. In this case, for example, the estimation unit 13 uses the position data of the moving object contained in the base station signal. For example, the estimation unit 13 calculates the transition of the position data contained in the base station signal to calculate the position of the moving object when it reaches a height corresponding to the ground elevation at the coordinates on the map where the moving object is located. Alternatively, the estimation unit 13 may estimate a fall area of ​​the moving object by comparing three-dimensional map data including information on buildings with the position data of the moving object. The fall area may be weighted according to the possibility of falling.

[0019] The output unit 14 outputs the warning information related to the estimation. More specifically, for example, the output unit 14 outputs information about a fall area into which the moving object may fall as the warning information. The warning information includes position data of the fall area.

[0020] Next, the processing executed by the information processing device 10 will be described with reference to Fig. 2. Fig. 2 is a flowchart of the information processing method according to the first embodiment. The flowchart shown in Fig. 2 starts, for example, when the information processing device 10 detects that a base station signal has been supplied from a base station.

[0021] First, the signal acquisition unit 11 acquires a base station signal from a base station that receives an identification signal transmitted by a mobile object flying in a predetermined airspace (step S11). Upon acquiring the base station signal, the signal acquisition unit 11 supplies the acquired base station signal to the determination unit 12.

[0022] Next, the determination unit 12 determines whether or not there is a possibility of the mobile object falling from the received base station signal (step S12). If it is determined that there is a possibility of falling (step S12: YES), the determination unit 12 supplies the determination result to the estimation unit 13. In this case, the information processing device 10 proceeds to step S13. On the other hand, if it is not determined that there is a possibility of falling (step S12: NO), the information processing device 10 ends the series of processes.

[0023] In step S13, when a signal indicating that the moving object may fall is received from the determination unit 12, the estimation unit 13 estimates a fall area of ​​the moving object based on the base station signal (step S13). That is, the estimation unit 13 estimates a fall area of ​​the moving object using position data of the moving object included in the base station signal. After estimating the fall area, the estimation unit 13 supplies information related to the estimation to the output unit 14.

[0024] When the output unit 14 receives information about the fall area from the estimation unit 13, it outputs the received information as alert information related to the estimation (step S14). The output unit 14 outputs the alert information in a manner that allows the user of the information processing device 10 to recognize it. For example, the output unit 14 may output the alert information to a predetermined management terminal communicatively connected to the information processing device 10. Alternatively, the output unit 14 may notify pedestrians, automobiles, etc. that may be present in the fall area. In this case, the output unit 14 may output the alert information to a wireless communication terminal present in an area corresponding to the fall area by using, for example, short-range wireless communication.

[0025] The above describes the information processing method executed by the information processing device 10. Through this processing, the information processing device 10 determines the possibility of a moving object falling, and then outputs information about the fall area.

[0026] The information processing device 10 may include a processor and a storage device (not shown). The storage device of the information processing device 10 may include a storage device including a nonvolatile memory such as a flash memory or an SSD. In this case, the storage device of the information processing device 10 stores a computer program (hereinafter simply referred to as a program) for executing the image processing method described above. The processor also loads the computer program from the storage device into a buffer memory such as a DRAM (Dynamic Random Access Memory) and executes the program.

[0027] Each component of the information processing device 10 may be implemented using dedicated hardware. Furthermore, some or all of the components may be implemented using general-purpose or dedicated circuits, processors, or a combination thereof. These may be implemented using a single chip or multiple chips connected via a bus. Some or all of the components of each device may be implemented using a combination of the above-mentioned circuits and programs. Furthermore, a CPU (Central Processing Unit), GPU (Graphics Processing Unit), FPGA (Field-Programmable Gate Array), or the like may be used as the processor. The description of the components described herein may also be applied to other devices or systems described below in this disclosure.

[0028] As described above, according to the present embodiment, it is possible to provide an information processing device, an information processing method, and a program that can contribute to reducing damage caused by accidents involving moving bodies.

[0029] <Second Embodiment> Next, a second embodiment will be described. Fig. 3 is a diagram showing the usage status of an information processing system 1 according to the second embodiment. The information processing system 1 shown in Fig. 3 includes an information processing device 20 and three base stations (base station 101, base station 102, and base station 103) communicably connected to the information processing device 20. The three base stations are provided at positions spaced apart from one another so as to be able to receive identification signals transmitted by mobile objects flying in a predetermined airspace. The information processing device 20 is communicably connected to these three base stations.

[0030] The information processing device 20 and the base station may be connected by wire or wirelessly, for example, via a local network. The information processing system 1 may be connected, for example, via a local 5G network (5G is an abbreviation for 5th Generation, which means a fifth generation mobile communication system). The information processing device 20 is installed integrally with the base station 101. However, the information processing device 20 may also be installed away from the base station.

[0031] 3 shows a situation in which a mobile object 200 is moving in an area where the information processing system 1 is installed. The planned route of operation of the mobile object 200 is a planned route R20. However, FIG. 3 shows a situation in which some kind of malfunction occurs during the movement of the mobile object 200, causing it to deviate from the planned route R20 and head toward a fall area R21.

[0032] In this situation, the mobile unit 200 is moving while transmitting an identification signal. The mobile unit 200 transmits an identification signal indicating that it is moving along a route that deviates from the predetermined planned route R20. The three base stations receive the identification signal including the location data from the mobile unit 200, generate base station signals from the received identification signals, and supply the base station signals to the information processing device 20.

[0033] In the above situation, if the identification signal transmitted by the mobile unit 200 is interrupted, the three base stations supply base station signals generated from the identification signal received up until the interruption to the information processing device 20. The base stations may also supply base station signals indicating that they have not received an identification signal to the information processing device 20.

[0034] Each base station also detects the radio wave intensity of the identification signal it receives. Therefore, the information processing device 20 can calculate the distance between the base station and the mobile unit 200 from the data on the radio wave intensity included in the base station signal. More specifically, the information processing device 20 calculates that the stronger the radio wave intensity of the received identification signal, the closer the mobile unit 200 is located.

[0035] For example, the information processing device 20 may calculate that the distance between the base station 101 and the mobile unit 200 is D11. Similarly, the information processing device 20 may calculate that the distance between the base station 102 and the mobile unit 200 is D12, and that the distance between the base station 103 and the mobile unit 200 is D13. Therefore, the information processing device 20 may calculate the position or moving direction of the mobile unit 200 using the radio wave intensity of the signal received by the base station. In this case, it is preferable that the information processing device 20 receives signal intensity from three or more base stations.

[0036] However, even if there are one or two base stations, if the information processing device 20 has received position data from the identification signal, it can use both the radio wave strength and the position data to estimate the position or moving direction of the mobile object 200. Even if there is no position data, if the information processing device 20 has information about the planned route R20 in advance, it can estimate the position or moving direction of the mobile object 200 using the radio wave strength and the planned route R20.

[0037] The three base stations may also measure the distance to the mobile unit 200 using a method of measuring the round trip time for the mobile unit 200. In this case, the three base stations each supply the measured round trip time to the information processing device 20 as a base station signal.

[0038] Next, an information processing device 20 according to the second embodiment will be described with reference to Fig. 4. Fig. 4 is a block diagram of the information processing device 20 according to the second embodiment. The information processing device 20 may be one of distributed servers known as MEC (Multi-access Edge Computing). The information processing device 20 differs from the above-described information processing device 10 in that it includes a communication unit 15 and a storage unit 16.

[0039] The communication unit 15 has a function for communicating with the three base stations described above. The communication unit 15 may be, for example, a communication hub of a local network established in a specific area within the communication range of the information processing system 1.

[0040] The communication unit 15 may be configured to be connectable to a network external to the information processing system 1. By connecting to the external network, the information processing device 20 can acquire, for example, information related to the planned route R20 and authentication data for the mobile object 200 via the external network.

[0041] The storage unit 16 is a storage device including a non-volatile memory such as a flash memory or an SSD (Solid State Drive). The storage unit 16 stores a program for executing this embodiment. The storage unit 16 also stores map information of the area in which the information processing system 1 receives an identification signal from the mobile object 200. The storage unit 16 also stores, for example, information about the planned route R20 of the mobile object 200. The storage unit 16 temporarily stores base station signals acquired from base stations.

[0042] Next, the configurations of the three base stations will be described with reference to Fig. 5. Fig. 5 is a block diagram of base station 101 according to the second embodiment. While Fig. 5 shows the configuration of base station 101, base stations 102 and 103 also have the same configuration. Base station 101 mainly includes a signal transmitting / receiving unit 111, a signal processing unit 112, a base station control unit 113, and a storage unit 114.

[0043] The signal transmitting / receiving unit 111 includes an antenna for receiving a signal transmitted from the mobile object 200. When the base station 101 and the information processing device 20 perform wireless communication, the base station 101 communicates via the signal transmitting / receiving unit 111. Upon receiving an identification signal from the mobile object 200, the signal transmitting / receiving unit 111 supplies the received identification signal to the signal processing unit 112.

[0044] The signal processing unit 112 performs encoding and decoding of signals to be transmitted and received. The signal processing unit 112 also generates a base station signal in cooperation with the base station control unit 113. The base station control unit 113 includes an arithmetic unit that controls each component of the base station 101. The base station control unit 113 generates a base station signal from an identification signal in cooperation with the signal processing unit 112, and executes processing to supply the generated base station signal to the information processing device 20.

[0045] The storage unit 114 includes a nonvolatile memory such as a flash memory and stores a program for executing the processes of the present disclosure. The storage unit 114 may also function as a ring buffer that stores identification signals from a predetermined time period back.

[0046] Next, the mobile body 200 will be described with reference to FIG. 6 . FIG. 6 is a block diagram of the mobile body 200. The mobile body 200 is, for example, an autonomous air vehicle that flies in the air along a planned flight route. In this disclosure, the autonomous air vehicle may be referred to as a drone. The mobile body 200 is one embodiment of the mobile body in this disclosure. The mobile body 200 mainly includes a position data acquisition unit 201, a communication unit 202, a camera 203, a mobile body control unit 204, a drive unit 205, and a memory unit 206.

[0047] The position data acquisition unit 201 acquires position data of the mobile object 200 using, for example, a position data acquisition system that uses GNSS (Global Navigation Satellite System) or Wi-Fi radio waves. The communication unit 202 has a function for directly communicating wirelessly with a base station of the information processing system 1. That is, the communication unit 202 may include, for example, an antenna, a modulation circuit, a demodulation circuit, etc. The camera 203 includes an objective lens, an imaging element, etc., and generates image data.

[0048] The mobile object control unit 204 includes a calculation device such as a CPU or MCU, and controls each component of the mobile object 200. That is, for example, the mobile object control unit 204 exchanges information with a base station of the information processing system 1 via the communication unit 202, and issues instructions to each component of the mobile object 200 in response to the information. The drive unit 205 includes a motor for rotating a propeller, which is the means of movement of the mobile object 200. The storage unit 206 includes a non-volatile memory such as a flash memory or an SSD, and stores authentication data and the like for the mobile object 200.

[0049] The mobile unit 200 has the above-described configuration and moves while periodically transmitting the identification signal stored in the storage unit 206. The mobile unit 200 transmits the identification signal, for example, every few hundred milliseconds. The mobile unit 200 performs this transmission using a method that complies with the Bluetooth (registered trademark) or Wi-Fi standard, for example. The mobile unit 200 continues to transmit this identification signal while moving.

[0050] The determination unit 12 of this embodiment may determine that there is a possibility of falling when the identification signal is continuously lost for a period of time equal to or longer than a predetermined threshold period. The determination unit 12 may also determine that there is a possibility of falling when the content of the base station signal does not include preset operation information. This allows the information processing device 20 to detect the risk of a malfunction occurring in the mobile object 200.

[0051] The determination unit 12 of this embodiment may read the position data of the moving body 200 contained in the base station signal and determine that there is a possibility of falling when the moving body 200 deviates from the planned route by a predetermined distance. This allows the information processing device 20 to quickly detect the risk of falling when the moving body 200 becomes unable to navigate due to, for example, a sudden gust of wind.

[0052] The determination unit 12 of this embodiment may determine that there is a possibility of falling when the base station signal contains self-diagnosis information of the mobile body 200 and detects that the self-diagnosis information contains a signal indicating that the mobile body 200 is unable to navigate, thereby enabling the information processing device 20 to quickly detect the risk of falling.

[0053] The estimation unit 13 of this embodiment estimates the fall area by calculating the fall direction of the moving body 200 determined to have a possibility of falling based on the position data included in each of the base station signals transmitted at multiple different times by the moving body 200. This allows the information processing device 20 to suitably estimate the fall area.

[0054] Alternatively, the estimation unit 13 may estimate the fall area by calculating the fall direction of the mobile unit 200 based on data indicating the signal strength of each identification signal transmitted at multiple different times by the mobile unit 200 determined to have a possibility of falling. In this case, the estimation unit 13 preferably calculates the fall direction of the mobile unit 200 based on signal strength data of the identification signals transmitted at multiple different times by the mobile unit 200 determined to have a possibility of falling, received in parallel at three separate locations. For example, the information processing device 20 receives identification signals from the mobile unit 200 in parallel at three separate base stations (base station 101, base station 102, and base station 103). As a result, the three base stations measure the signal strength of the identification signal transmitted by the mobile unit 200 at a certain time in parallel. The information processing device 20 can estimate the location of the mobile unit 200 from these signal strengths. As a result, even if the information processing device 20 cannot acquire the position data of the moving body 200, it can estimate the transition of the position of the moving body 200 and estimate the falling area of ​​the moving body 200.

[0055] In estimating the fall area, the estimation unit 13 sets an angle obtained by multiplying the calculated fall direction by a predetermined safety factor, and estimates the area on the ground corresponding to the set angle as the fall area. For example, when the moving body 200 falls from a height of 100 meters above the ground, the diameter of the fall area will be twice the diameter when the moving body 200 falls from a height of 50 meters above the ground.

[0056] FIG. 7 is a diagram showing the contents of an identification signal transmitted by the mobile unit 200. The identification signal mainly comprises a header, authentication data, time data, location data, and a footer. The header and footer conform to a predetermined communication protocol for a base station to recognize the identification signal. The authentication data includes data indicating that the mobile unit 200 is an authenticated mobile unit. The authentication data may include, for example, an authentication number issued by a predetermined authorization body such as a local government, or a unique identifier linked to the information processing device 20. The time data is a timestamp that is updated each time an identification signal is transmitted. The location data includes, for example, data related to latitude, longitude, and altitude. The location data may also include data indicating the speed of travel.

[0057] For example, the mobile unit 200 transmits a header followed by authentication data "ID1234", time data "T11", location data "X1, Y1, Z1", and a footer. Upon receiving this signal, each base station immediately supplies this signal to the information processing device 20. At this time, the base station also supplies the signal strength of the received signal to the information processing device 20.

[0058] 8 is a diagram showing base station signals acquired by the information processing device 20. The identification signal acquired by the information processing device 20 includes a base station ID, signal strength, authentication data, time data, and location data. The base station ID indicates which of base stations 101, 102, and 103 supplied the signal. The signal strength is data measured by each base station on the signal strength of the identification signal received by that base station. The authentication data, time data, and location data include the same data as those received by each base station from the information processing device 20.

[0059] The diagram shown in Figure 8 shows that the identification signal at time T11 and the identification signal at time T12 after time T11 were both received. However, the base station signal at time T13 after time T12 shows "BLANK" for the signal strength, authentication data, and location data. This indicates that the base station was unable to receive the identification signal at time T13. Similarly, the signal strength, authentication data, and location data at time T14 after time T13 also show "BLANK." In other words, this indicates that the information processing device 20 was receiving the identification signal transmitted by the mobile unit 200 until time T12, but that the identification signal was discontinued from time T13 after time T12 onwards.

[0060] 8, the determination unit 12 of the information processing device 20 may determine that there is a possibility of falling when the identification signal is continuously lost for a period of time equal to or longer than a predetermined threshold period. In this case, the information processing device 20 estimates the traveling direction of the moving object 200 from the position data at, for example, time T11, time T12, and times before those.

[0061] As described above, according to the present embodiment, it is possible to provide an information processing device, an information processing method, and a program that can contribute to reducing damage caused by accidents involving moving bodies.

[0062] <Third Embodiment> Next, a third embodiment will be described. Fig. 9 is a diagram showing a usage situation of an information processing system 2 according to the third embodiment. The information processing system 2 according to this embodiment has the information processing system 2 in an urban area. The information processing system 2 mainly includes a plurality of base stations (base station 101, base station 102, and base station 103), an information processing device 30, a plurality of traffic signals 310, and a plurality of cameras 320. Fig. 9 shows a situation in which a mobile object 200 moves into an area where the information processing system 2 is installed, and some kind of malfunction occurs, causing the mobile object 200 to fall toward a fall area R22.

[0063] Based on the identification signals received by the multiple base stations and the images of the moving object 200 captured by the camera 320, the information processing system 2 determines that there is a possibility that the moving object 200 will fall. Furthermore, the information processing device 30 estimates that the moving object 200 will fall into the fall area R22. In this situation, the information processing device 30 controls, for example, the traffic signal 310 associated with the fall area R22 to prevent other moving objects from entering the fall area R22. In FIG. 9 , the automobile 220 is heading toward the fall area R22. At this time, the information processing device 30 controls the traffic signal 310 located between the automobile 220 and the fall area R22 to prevent the automobile 220 from entering the fall area R22.

[0064] Next, the overall control system 4 will be described with reference to Fig. 10. Fig. 10 is a block diagram of the overall control system 4 according to the third embodiment. The overall control system 4 includes an information processing system 2 and an overall management device 400. The information processing system 2 and the overall management device 400 are connected to each other so as to be able to communicate with each other via a network N1. The overall control system 4 includes a plurality of information processing systems 2.

[0065] 9 , the information processing system 2 includes an information processing device 30, base stations 101, 102, 103, a traffic signal 310, and a camera 320. In the information processing system 2, the information processing device 30 is communicatively connected to each of the base station 101, the traffic signal 310, and the camera 320. Note that although the information processing system 2 includes three base stations (base station 101, base station 102, and base station 103), the number of base stations included in the information processing system 2 is not limited to three. The information processing system 2 may also include a plurality of traffic signals 310 and a plurality of cameras 320.

[0066] The information processing system 2 is communicably connected to a network N1, which may be a wide area communication line such as the Internet or a predetermined WAN (Wide Area Network).

[0067] The central management device 400 is a server that centrally manages multiple information processing systems 2. The central management device 400 can store operation plans for mobile objects in the area where the central control system 4 is installed. The central management device 400 can also collect information on falling mobile objects, etc. in the multiple information processing systems 2, and, based on the collected information, can supply instruction signals related to traffic signal control to each information processing system 2 as necessary. With this configuration, the central control system 4 can appropriately respond to risks to mobile objects that occur across the areas under the jurisdiction of each information processing system 2.

[0068] Next, the signal pole system 3 will be described. Fig. 11 is a block diagram of the signal pole system 3 according to the third embodiment. The information processing device 30 shown in Fig. 9 can be configured as a part of the signal pole system 3. The signal pole system 3 can have, as its main components, the information processing device 30, a base station 101, a traffic signal 310, and a camera 320.

[0069] The information processing device 30 differs from the above-described information processing device 20 in that it includes an image data acquisition unit 17 and a traffic control unit 18. The signal pole system 3 may be physically configured as a single signal pole. Alternatively, the signal pole system 3 may refer to a system in which multiple physically separated signal poles are linked together. The signal pole system 3 shown in FIG. 11 is configured such that the information processing device 30 and the base station 101 are integrated, but the information processing device 30 can also acquire signals from the base stations 102 and 103. Furthermore, the information processing device 30 can acquire signals from multiple traffic signals 310 and cameras 320.

[0070] The estimation unit 13 according to this embodiment may estimate the fall area by calculating the fall direction of the mobile unit 200 based on signal strength data received in parallel at two different locations from the signal strength of an identification signal transmitted at multiple different times by the mobile unit 200 determined to have a fall risk, and based on the mobile unit's flight plan based on the identification signal. More specifically, for example, the estimation unit 13 acquires base station signals received by the base stations 101 and 102 at a first time and base station signals received by the base stations 101 and 102 at a second time after the first time. That is, the base stations 101 and 102 receive identification signals transmitted by the mobile unit 200 at the first time and the second time, respectively, in parallel, and provide the information processing device 30 with base station signals including the signal strengths of the received identification signals. It is difficult for the information processing device 30 to identify a single location of the mobile unit 200 from the signal strengths received at two distant locations. However, by taking into account the flight plan of the mobile unit 200, the information processing device 30 can narrow down the location of the mobile unit 200. As a result, even if there are two base stations that receive the identification signal transmitted by the mobile unit 200, the information processing device 30 estimates the position of the mobile unit by taking into account the flight plan.

[0071] The image data acquisition unit 17 acquires image data of the moving object 200 captured by a camera 320 installed at a predetermined position. Note that the image data acquisition unit 17 can acquire image data from each of a plurality of cameras 320 installed at different positions spaced apart from one another.

[0072] In this case, the estimation unit 13 can estimate the position of the moving body 200 from image data obtained by photographing the moving body 200 from different positions. The estimation unit 13 also takes into account image data obtained by photographing the moving body 200 at a plurality of different times, thereby calculating a change in the position of the moving body 200 and estimating the fall area.

[0073] The estimation unit 13 can also estimate the time of fall of the moving object 200 by using at least one of the time included in the identification signal and the time when the base station 101 received the identification signal. This allows the information processing device 30 to output more reliable information.

[0074] The traffic control unit 18 controls the traffic signals 310 under its control in accordance with the alert information generated by the output unit 14. That is, the traffic control unit 18 can output, to the communicatively connected traffic signals 310, a traffic control signal including at least one of a traffic signal that inhibits the movement of other moving objects toward the drop area and a traffic signal that encourages the movement of other moving objects that are in the drop area. In this case, the output unit 14 outputs, as alert information, information for instructing traffic control related to the estimation to the traffic control unit 18.

[0075] Fig. 12 is a flowchart of the information processing method according to the third embodiment. The flowchart shown in Fig. 12 differs from the flowchart shown in Fig. 2 in that step S15 is added after step S14.

[0076] In step S14, the output unit 14 outputs the warning information to the traffic control unit 18. The warning information may include the location information of the fall area and the estimated time when the moving object 200 will fall.

[0077] In step S15, the traffic control unit 18 of the information processing device 30 controls the traffic signal 310 in accordance with the alert information received from the output unit 14 (step S15).

[0078] The above describes the third embodiment. The fall area estimated by the estimation unit 13 of the information processing device 30 may take into account the wind direction and wind speed at the time the moving object 200 falls. In this case, the information processing system 2 may have a sensor that measures the wind direction and wind speed, or may receive data related to the wind direction and wind speed from the central management device 400.

[0079] This completes the description of embodiment 3. According to this embodiment, it is possible to provide an information processing device, an information processing method, and a program that suitably monitor the status of a predetermined area.

[0080] The above-described program can be stored and supplied to a computer using various types of non-transitory computer-readable media. Non-transitory computer-readable media include various types of tangible recording media. Examples of non-transitory computer-readable media include magnetic recording media (e.g., flexible disks, magnetic tapes, hard disk drives), magneto-optical recording media (e.g., magneto-optical disks), CD-ROMs (Read Only Memory), CD-Rs, CD-R / Ws, and semiconductor memories (e.g., mask ROMs, PROMs (Programmable ROMs), EPROMs (Erasable PROMs), flash ROMs, and RAMs (Random Access Memory)). The program may also be supplied to a computer by various types of temporary computer-readable media. Examples of temporary computer-readable media include electrical signals, optical signals, and electromagnetic waves. The temporary computer-readable media can be supplied to a computer via wired communication paths such as electric wires and optical fibers, or via wireless communication paths.

[0081] <Example of Hardware Configuration> Hereinafter, a case will be described in which each functional configuration of the update information generation device and static information management device according to the present disclosure is realized by a combination of hardware and software.

[0082] FIG. 13 is a block diagram illustrating an example hardware configuration of a computer. The update information generation device and static information management device of the present disclosure can realize the above-described functions by a computer 500 including the hardware configuration shown in the figure. The computer 500 may be a portable computer such as a smartphone or tablet terminal, or a stationary computer such as a PC. The computer 500 may be a dedicated computer designed to realize each device, or may be a general-purpose computer. The computer 500 can realize desired functions by installing a specified application.

[0083] The computer 500 has a bus 502, a processor 504, a memory 506, a storage device 508, an input / output interface (I / F) 510, and a network interface (I / F) 512. The bus 502 is a data transmission path for the processor 504, the memory 506, the storage device 508, the input / output interface 510, and the network interface 512 to transmit and receive data to and from each other. However, the method of connecting the processor 504 and the like to each other is not limited to bus connection.

[0084] The processor 504 is a processor such as a CPU, a GPU, an FPGA, etc. The memory 506 is a main storage device realized using a RAM (Random Access Memory) or the like.

[0085] The storage device 508 is an auxiliary storage device realized using a hard disk, an SSD, a memory card, a ROM (Read Only Memory), etc. The storage device 508 stores programs for realizing desired functions. The processor 504 reads the programs into the memory 506 and executes them to realize the respective functional components of each device.

[0086] The input / output interface 510 is an interface for connecting the computer 500 with 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.

[0087] The network interface 512 is an interface for connecting the computer 500 to a network.

[0088] Although the present invention has been described above with reference to the embodiments, the present invention is not limited to the above. Various modifications 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 invention.

[0089] Some or all of the above embodiments can be described as, but are not limited to, the following supplementary notes. (Supplementary Note 1) An information processing device comprising: a signal acquisition unit that acquires a base station signal from a base station that receives an identification signal transmitted by a mobile object flying in a predetermined airspace; a determination unit that determines whether or not there is a possibility of the mobile object falling based on the base station signal; an estimation unit that, when it is determined that there is a possibility of the mobile object falling, estimates a fall area of ​​the mobile object based on the identification signal; and an output unit that outputs alert information related to the estimation. (Supplementary Note 2) The information processing device according to Supplementary Note 1, wherein the determination unit determines that there is a possibility of the mobile object falling when the identification signal is continuously lost for a period equal to or longer than a predetermined threshold period. (Supplementary Note 3) The information processing device according to Supplementary Note 1, wherein the determination unit determines that there is a possibility of the mobile object falling when the content of the base station signal does not include preset operation information. (Supplementary Note 4) The information processing device according to Supplementary Note 1, wherein the determination unit reads position data of the mobile object contained in the base station signal, and determines that there is a possibility of the mobile object falling when the mobile object deviates a predetermined distance from a planned route. (Supplementary Note 5) The information processing device according to Supplementary Note 1, wherein the determination unit reads self-diagnosis information of the moving body included in the base station signal, and determines that there is a possibility of the moving body falling when it detects that the base station signal includes a signal indicating that the moving body is unable to navigate. (Supplementary Note 6) The information processing device according to any one of Supplementary Notes 2 to 5, wherein the estimation unit estimates the fall area by calculating a fall direction of the moving body based on position data included in each of the base station signals transmitted at a plurality of different times by the moving body determined to have the possibility of falling. (Supplementary Note 7) The information processing device according to any one of Supplementary Notes 2 to 5, wherein the estimation unit estimates the fall area by calculating a fall direction of the moving body based on data indicating the signal strength of each of the identification signals transmitted at a plurality of different times by the moving body determined to have the possibility of falling.(Supplementary Note 8) The information processing device according to Supplementary Note 7, wherein the estimation unit estimates the fall area by calculating the fall direction of the moving body based on signal strength data received in parallel at two spaced apart locations of the signal strength of the identification signal transmitted by the moving body determined to have the possibility of falling at a plurality of different times, and a flight plan of the moving body based on the identification signal. (Supplementary Note 9) The information processing device according to Supplementary Note 7, wherein the estimation unit estimates the fall area by calculating the fall direction of the moving body based on signal strength data received in parallel at three spaced apart locations of the signal strength of the identification signal transmitted by the moving body determined to have the possibility of falling at a plurality of different times. (Supplementary Note 10) The information processing device according to Supplementary Note 8 or 9, further comprising an image data acquisition unit that acquires image data of the moving body photographed by a camera installed at a predetermined position, and the estimation unit estimates the fall area by taking into account the image data of the moving body photographed at a plurality of different times. (Supplementary Note 11) The information processing device according to Supplementary Note 1, wherein the estimation unit also estimates the time of fall of the moving object by using at least one of the time included in the identification signal or the time of receiving the identification signal. (Supplementary Note 12) The information processing device according to Supplementary Note 1, further comprising a traffic control unit that outputs, to a communicably connected traffic signal, a traffic control signal including at least one of a traffic signal that suppresses the movement of other moving objects toward the fall area or a traffic signal that urges the movement of other moving objects present in the fall area, and the output unit outputs, as the alert information, information for instructing traffic control related to the estimation to the traffic control unit. (Supplementary Note 13) An information processing method, wherein a computer acquires a base station signal from a base station that receives an identification signal emitted by a moving object flying in a predetermined airspace, determines whether or not there is a possibility that the moving object will fall based on the base station signal, and if it determines that there is a possibility that the moving object will fall, estimates the fall area of ​​the moving object based on the base station signal, and outputs alert information related to the estimate.(Supplementary Note 14) A program that causes a computer to execute an information processing method, which includes acquiring a base station signal from a base station that receives an identification signal transmitted by a mobile object flying in a specified airspace, determining whether or not there is a possibility that the mobile object will fall based on the base station signal, and if it is determined that there is a possibility that the mobile object will fall, estimating a fall area of ​​the mobile object based on the base station signal, and outputting alert information related to the estimation.

[0090] Some or all of the elements (e.g., configurations and functions) described in Supplementary Notes 2 to 12 that are dependent on Supplementary Note 1 may also be dependent on Supplementary Notes 13 and 14 in the same dependency relationship as Supplementary Notes 2 to 12. Some or all of the elements described in any Supplementary Note may be applied to various hardware, software, recording means for recording software, systems, and methods.

[0091] This application claims priority based on Japanese Patent Application No. 2023-029409, filed February 28, 2023, the disclosure of which is incorporated herein in its entirety by reference.

[0092] The present disclosure can be used, for example, in a traffic management device or a traffic management system that manages the operation of drones, etc.

[0093] REFERENCE SIGNS LIST 1 Information processing system 2 Information processing system 3 Signal pole system 4 Integrated control system 10 Information processing device 11 Signal acquisition unit 12 Determination unit 13 Estimation unit 14 Output unit 15 Communication unit 16 Memory unit 17 Image data acquisition unit 18 Traffic control unit 20 Information processing device 30 Information processing device 101 Base station 102 Base station 103 Base station 111 Signal transmission / reception unit 112 Signal processing unit 113 Base station control unit 114 Memory unit 200 Mobile object 201 Position data acquisition unit 202 Communication unit 203 Camera 204 Mobile object control unit 205 Drive unit 206 Memory unit 220 Automobile 310 Traffic signal 320 Camera 400 Integrated management device 500 Computer 502 Bus 504 Processor 506 Memory 508 Storage device 510 Input / output interface 512 Network interface N1 Network R20 Planned route R21 Drop area R22 Drop area

Claims

1. a signal acquisition means for acquiring a base station signal from a base station that receives an identification signal transmitted by a mobile object flying in a predetermined airspace; a determination means for determining whether or not there is a possibility of the moving object falling based on the base station signal; an estimation means for estimating a fall area of ​​the moving object based on the identification signal when it is determined that there is a possibility that the moving object will fall; and an output means for outputting warning information related to the estimation by the estimation means. Information processing device.

2. The determination means determines that there is a possibility of the device falling when the identification signal is continuously lost for a period of time equal to or longer than a predetermined threshold period. The information processing device according to claim 1 .

3. the determination means reads self-diagnosis information of the mobile unit included in the base station signal, and determines that there is a possibility of the mobile unit falling when it detects that the base station signal includes a signal indicating that the mobile unit is unable to navigate. The information processing device according to claim 1 .

4. the estimation means estimates the fall area by calculating a fall direction of the moving object based on position data included in each of the base station signals transmitted at a plurality of different times by the moving object determined to have the possibility of falling; 4. The information processing device according to claim 2 or 3.

5. the estimation means estimates the fall area by calculating a fall direction of the moving object based on data indicating the signal strength of each of the identification signals transmitted at a plurality of different times by the moving object determined to have the possibility of falling; 4. The information processing device according to claim 2 or 3.

6. the estimation means estimates the fall area by calculating the falling direction of the moving object based on signal strength data of the identification signals transmitted at multiple different times by the moving object determined to have the possibility of falling, the signal strength data being received in parallel at two distant locations, and an operation plan of the moving object based on the identification signals; The information processing device according to claim 5 .

7. the estimation means estimates the falling area by calculating the falling direction of the moving object based on signal strength data of the identification signals transmitted at multiple different times by the moving object determined to have the possibility of falling and received in parallel at three spaced locations; The information processing device according to claim 5 .

8. The system further includes a traffic control means for outputting a traffic control signal to a communicatively connected traffic signal, the traffic control signal including at least one of a traffic signal for suppressing the movement of other moving bodies toward the drop area and a traffic signal for urging the movement of other moving bodies present in the drop area; The output means outputs, as the warning information, information for instructing traffic control related to the estimation to the traffic control means. The information processing device according to claim 1 .

9. A computer comprising: Acquire a base station signal from a base station that receives an identification signal transmitted by a mobile object flying in a predetermined airspace; determining whether or not there is a possibility of the moving object falling based on the base station signal; When it is determined that there is a possibility that the moving object will fall, an area where the moving object will fall is estimated based on the base station signal; outputting warning information related to the estimation; Information processing methods.

10. Acquiring a base station signal from a base station that receives an identification signal transmitted by a mobile object flying in a predetermined airspace, determining whether or not there is a possibility of the moving object falling based on the base station signal; When it is determined that there is a possibility that the moving object will fall, an area where the moving object will fall is estimated based on the base station signal; outputting warning information related to the estimation; A program that causes a computer to execute an information processing method.