Information processing device and information processing method

Abstract

Reduce the workload involved in planning flight routes. [Solution] The information processing device 1 has a first acquisition unit 131 that acquires flight route information indicating the flight route along which the aircraft is scheduled to fly, a generation unit 132 that generates a prompt to instruct a large-scale language model 2 to acquire preparatory information related to flight preparations for the aircraft, including at least one of information related to a flight permission application that is required if the aircraft flies the flight route indicated by the flight route information acquired by the first acquisition unit 131 and information related to the destination of adjustments where flight-related adjustments need to be made, a second acquisition unit 133 that inputs the prompt generated by the generation unit 132 into the large-scale language model 2 and acquires the preparatory information from the large-scale language model 2, and an output unit 134 that outputs the preparatory information acquired by the second acquisition unit 133.

Description

[Technical Field]

[0001] The present invention relates to an information processing device and an information processing method. [Background technology]

[0002] Conventionally, a flight plan including a flight route of an aircraft such as a drone is created, and the aircraft is flown based on the created flight plan (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2024-144875 Summary of the Invention [Problem to be solved by the invention]

[0004] When planning a flight route, it is necessary to identify the permission applications required to fly the flight route, identify the managers of the flight area and facilities, and make preparations for the permission applications and flight-related coordination, etc. As these preparations take time, there is a need to reduce the workload involved in planning flight routes.

[0005] Therefore, the present invention has been made in consideration of these points, and aims to reduce the workload involved in planning flight routes. [Means for solving the problem]

[0006] An information processing device according to a first aspect of the present invention includes a first acquisition unit that acquires flight route information indicating a planned flight route along which an aircraft is to fly, a generation unit that generates a prompt to instruct a large-scale language model to acquire preparatory information related to flight preparation for the aircraft, the preparatory information including at least one of information related to a flight permission application that will be required if the aircraft flies the flight route indicated by the flight route information acquired by the first acquisition unit and information related to an adjustment destination where flight-related adjustments need to be made, a second acquisition unit that inputs the prompt generated by the generation unit into the large-scale language model and acquires the preparatory information from the large-scale language model, and an output unit that outputs the preparatory information acquired by the second acquisition unit.

[0007] The generation unit may generate the prompt to instruct the large-scale language model to acquire the preparation information including at least one of the permission application and the adjustment destination within a predetermined range including the flight route.

[0008] The generation unit may generate the prompt to instruct the large-scale language model to acquire geographical feature information indicating geographical features within a predetermined range including the flight route, the second acquisition unit may input the prompt generated by the generation unit to the large-scale language model and acquire the preparatory information and the geographical feature information from the large-scale language model, and the output unit may output the preparatory information and the geographical feature information acquired by the second acquisition unit.

[0009] The generation unit may generate the prompt to instruct the large-scale language model to acquire geographical feature information indicating geographical features that require attention for the flight of the aircraft within a predetermined range from the flight route.

[0010] The output unit may display the geographical feature information acquired by the second acquisition unit at a position corresponding to the geographical feature indicated by the geographical feature information on a map including the flight route displayed on the display unit.

[0011] The output unit may accept a selection of any one of a plurality of flight segments indicating the flight route, identify the geographical feature information corresponding to the selected flight segment, and output the identified geographical feature information.

[0012] The first acquisition unit may acquire the flight route information including altitude information indicating the flight altitude of the aircraft, and the generation unit may generate the prompt to instruct the large-scale language model to acquire the preparatory information including at least one of the permission application and the adjustment destination when the aircraft flies along the flight route indicated by the flight route information acquired by the first acquisition unit at the flight altitude indicated by the altitude information included in the flight route information.

[0013] The generation unit may refer to overhead radio wave information indicating the radio wave environment in the sky within a predetermined range from the flight route of the aircraft, and based on the radio wave environment indicated by the overhead radio wave information, generate the prompt to instruct the large-scale language model to acquire risk information indicating whether the flight of the aircraft will be affected if the aircraft flies the flight route indicated by the flight route information acquired by the first acquisition unit.

[0014] The generation unit may determine whether there is a location on the flight route indicated by the flight route information acquired by the first acquisition unit where the aircraft cannot fly, and if it is determined that there is a location where the aircraft cannot fly, generate the prompt to instruct the large-scale language model to generate a revised flight route that modifies the flight route to avoid the location; the second acquisition unit may input the prompt generated by the generation unit to the large-scale language model and acquire the revised flight route from the large-scale language model; and the output unit may output the revised flight route acquired by the second acquisition unit.

[0015] An information processing method according to a second aspect of the present invention includes the steps of: acquiring flight route information indicating a planned flight route along which an aircraft is to fly; generating a prompt to instruct a large-scale language model to acquire preparatory information related to flight preparation for the aircraft, the preparatory information including at least one of information related to a flight permission application that will be required if the aircraft flies the flight route indicated by the acquired flight route information and information related to adjustment destinations where flight-related adjustments need to be made; inputting the generated prompt into the large-scale language model, acquiring the preparatory information from the large-scale language model; and outputting the acquired preparatory information. [Effects of the Invention]

[0016] According to the present invention, it is possible to reduce the workload involved in planning a flight route. [Brief explanation of the drawings]

[0017] [Figure 1] FIG. 1 is a diagram illustrating an overview of an information processing device. [Figure 2] FIG. 2 is a diagram illustrating a functional configuration of an information processing device. [Figure 3] FIG. 10 is a diagram illustrating an example of accepting a flight route. [Figure 4] FIG. 10 is a diagram illustrating an example of a prompt generated by a generating unit. [Figure 5] FIG. 10 is a diagram showing an example in which preparation information and geographical feature information are displayed on a user terminal. [Figure 6] FIG. 1 is a sequence diagram showing the flow of processing in an information processing device, a large-scale language model, and a user terminal. DETAILED DESCRIPTION OF THE INVENTION

[0018] [Overview of information processing device 1] 1 is a diagram showing an overview of an information processing device 1. The information processing device 1 is communicably connected to a large-scale language model (LLM) 2 and a terminal 3 used by a user who plans a flight route for an aircraft, and is a computer for assisting the user in planning the flight route of the aircraft.

[0019] The large-scale language model 2 is, for example, a generative AI (Artificial Intelligence) such as ChatGPT (registered trademark) or Claude (registered trademark), and outputs a response corresponding to the instruction indicated by the instruction information in response to receiving a prompt that is instruction information. The terminal 3 is, for example, a computer such as a personal computer or a tablet.

[0020] The information processing device 1 acquires flight route information indicating a flight route along which the aircraft is scheduled to fly, for example, by receiving the flight route along which the aircraft is scheduled to fly from the terminal 3. When the aircraft flies the flight route indicated by the acquired flight route information, the information processing device 1 generates a prompt to instruct the large-scale language model to acquire preparation information related to flight preparations for the aircraft. The preparation information includes, for example, at least one of information related to a required flight permission application and information related to an adjustment destination for which flight adjustments need to be made.

[0021] The information processing device 1 inputs the generated prompt to the large-scale language model 2, and acquires preparatory information from the large-scale language model 2. Then, the information processing device 1 outputs the acquired preparatory information to the terminal 3.

[0022] In this way, the user of terminal 3 can check the preparation information and confirm what kind of permission applications are required when flying the aircraft along the flight route and where adjustments are required for the flight, without having to manually identify the permission applications and adjustments required to fly the flight route, thereby smoothly preparing for flight. Thus, the information processing device 1 can reduce the workload of the user of terminal 3 related to planning the flight route.

[0023] [Functional configuration of information processing device 1] Next, a description will be given of the functional configuration of the information processing device 1. Fig. 2 is a diagram showing the functional configuration of the information processing device 1. The information processing device 1 has a communication unit 11, a storage unit 12, and a control unit 13.

[0024] The communication unit 11 is a communication interface for transmitting and receiving data to and from an aircraft or the like via a communication network such as a mobile phone line or the Internet. The storage unit 12 is a storage medium that stores various types of data, and includes a ROM (Read Only Memory), a RAM (Random Access Memory), a hard disk, an SSD (Solid State Drive), etc. The storage unit 12 stores a program executed by the control unit 13. For example, the storage unit 12 stores a program that causes the control unit 13 to function as a first acquisition unit 131, a generation unit 132, a second acquisition unit 133, and an output unit 134.

[0025] The control unit 13 is, for example, a CPU (Central Processing Unit). The control unit 13 executes a program stored in the storage unit 12, thereby functioning as a first acquisition unit 131, a generation unit 132, a second acquisition unit 133, and an output unit 134.

[0026] The first acquisition unit 131 acquires flight route information, which is information indicating a flight route along which the aircraft is scheduled to fly. First, when the first acquisition unit 131 acquires a request to acquire a reception screen for accepting a flight route from the terminal 3, the first acquisition unit 131 transmits the reception screen to the terminal 3 and causes the reception screen to be displayed on the terminal 3. The reception screen includes a map, and the first acquisition unit 131 acquires the flight route information by accepting the flight route of the aircraft on the map. For example, the first acquisition unit 131 accepts, as flight positions along which the aircraft will fly, a flight start position, which is a two-dimensional position where the aircraft will start flight, and a flight end position, which is a two-dimensional position where the aircraft will end flight, thereby accepting the flight route along which the aircraft is scheduled to fly from the terminal 3.

[0027] 3A and 3B are diagrams illustrating an example of accepting a flight route. As shown in Fig. 3A, the first acquisition unit 131 accepts confirmation of the flight route by accepting pressing of a check button provided at the bottom right of the map after specifying a flight start position A, which is the position where the aircraft starts flight, and a flight end position B, which is the position where the aircraft ends flight.

[0028] When the first acquisition unit 131 receives confirmation of the flight route, it identifies the distance between the flight start position A and the flight end position B. If the distance between the flight start position A and the flight end position B is greater than a predetermined distance, the first acquisition unit 131 identifies one or more positions between the flight start position A and the flight end position B as passing positions of the flying object.

[0029] For example, as shown in FIG. 3(b), the first acquisition unit 131 identifies multiple positions P1 to P4 on a line connecting a flight start position A and a flight end position B as pass positions of the flying object. The multiple positions may be identified at predetermined distance intervals. In this case, the predetermined distance is a flight segment included in the flight route, and each of the multiple positions corresponds to one flight segment. Then, the first acquisition unit 131 identifies the coordinates of the flight start position A, the flight end position B, and the multiple pass positions, and acquires the identified multiple coordinates as flight route information.

[0030] The first acquisition unit 131 may identify the passing order for the passing positions corresponding to each of the passing positions P1 to P4 in order of proximity to the flight start position A, and may include the passing positions and the passing order in association with each other in the flight route information. For example, in the example shown in Fig. 3(b), the first acquisition unit 131 identifies the passing order of passing position P1 as 1, the passing order of passing position P2 as 2, the passing order of passing position P3 as 3, and the passing order of passing position P4 as 4.

[0031] The first acquisition unit 131 may receive, as the flight positions, passing positions indicating one or more two-dimensional positions through which the aircraft will pass after flying from the flight start position, and the order in which the passing positions will be passed. In this case, the first acquisition unit 131 identifies the flight route as a path that starts from the flight start position, passes through each of the one or more passing positions in the passing order, and ends at the flight end position.

[0032] Although the first acquisition unit 131 receives the flight route on a map, the present invention is not limited to this. The first acquisition unit 131 may acquire flight plan information indicating the flight route of the flying object, thereby identifying the flight route, and acquire flight route information based on the flight route.

[0033] The generation unit 132 generates a prompt to instruct the large-scale language model 2 to acquire preparatory information related to flight preparations for the aircraft, including at least one of information related to a flight permission application that is required when the aircraft flies the flight route indicated by the flight route information acquired by the first acquisition unit 131 and information related to the adjustment destination where flight-related adjustments need to be made.

[0034] The generation unit 132 generates a prompt to instruct the large-scale language model 2 to acquire preparation information including at least one of a permission application and an adjustment destination within a predetermined range including the flight route. The area within the predetermined range including the flight route is, for example, an area combining areas within a predetermined distance from the flight start position, one or more pass positions, and the flight end position indicating the flight route.

[0035] 3(a), the generation unit 132 receives a flight route specification on a map such as that shown in FIG. 3(a), and generates a prompt in response to the first acquisition unit 131 acquiring flight route information. For example, the generation unit 132 generates a prompt that includes a flight start position indicating the flight route, one or more passing positions, and a plurality of coordinate information indicating the flight end position, and that instructs the large-scale language model 2 to acquire preparation information corresponding to a predetermined range including the flight route.

[0036] Here, the generation unit 132 may include not only instruction information instructing acquisition of preparation information but also instruction information instructing acquisition of geographical feature information indicating geographical features within the predetermined range. The geographical feature information may indicate natural geographical features, such as rivers and bays, that require caution when flying an aircraft, as well as artificial geographical features, such as railways, roads, and port facilities, among the geographical features within the predetermined range including the flight route.

[0037] For example, a prompt template is stored in the storage unit 12. The generation unit 132 generates a prompt by embedding, into the prompt template stored in the storage unit 12, a flight start position indicating the flight route included in the flight route information, one or more passing positions, and a plurality of pieces of coordinate information indicating the flight end position.

[0038] Fig. 4 is a diagram showing an example of a prompt generated by the generation unit 132. As shown in Fig. 4, it can be seen that the prompt includes text information indicating an organization that needs to make adjustments when the aircraft flies the flight route and an instruction to output the necessary permission application.

[0039] It can also be seen in Figure 4 that the information includes instructions to output region-specific precautions. It can also be seen in Figure 4 that the information includes instructions to output information indicating geographical features around the coordinates included in the flight route, such as river names and river administrators, railway line names and railway administrators, main road names and road administrators, marine area information, port facility information, and information indicating special areas for cultural properties, etc.

[0040] The second acquisition unit 133 inputs the prompt generated by the generation unit 132 into the large-scale language model 2, and acquires answer information including preparation information and geographical feature information from the large-scale language model 2. Then, the second acquisition unit 133 acquires the preparation information and geographical feature information included in the acquired answer information.

[0041] The output unit 134 outputs the preparation information and the geographical feature information acquired by the second acquisition unit 133 to the terminal 3. For example, the output unit 134 causes the display unit of the terminal 3 to display the preparation information and the geographical feature information acquired by the second acquisition unit 133 together with a map. Fig. 5 is a diagram showing an example in which the preparation information and the geographical feature information are displayed on the terminal 3. As shown in Fig. 5, it can be seen that the preparation information and the geographical feature information are displayed superimposed on the map.

[0042] Note that the output unit 134 displays the preparation information and the geographical feature information by superimposing them on the map, but this is not limiting. The output unit 134 may display the preparation information or the geographical feature information acquired by the second acquisition unit 133 at a position corresponding to the preparation information or a position corresponding to the geographical feature indicated by the geographical feature information on a map including the flight route displayed on the display unit of the terminal 3.

[0043] For example, the output unit 134 may cause a display unit of the terminal 3 to selectably display any one of a plurality of flight segments indicating the flight route. The output unit 134 may then accept a selection of any one of the flight segments indicating the flight route, identify preparation information and geographical feature information corresponding to the selected flight segment, and output the identified preparation information and geographical feature information.

[0044] In this case, the generation unit 132 generates a prompt that instructs the large-scale language model 2 to acquire preparatory information and geographical feature information in association with each of a plurality of positions corresponding to each of a plurality of flight segments indicating the flight route. Then, the generation unit 132 inputs the prompt into the large-scale language model 2, and acquires the preparatory information and geographical feature information in association with each of a plurality of positions corresponding to each of the plurality of flight segments.

[0045] When the output unit 134 receives a selection of one of a plurality of flight segments indicating a flight route, it identifies the preparation information and geographical feature information acquired for the position corresponding to the flight segment and outputs the identified preparation information and geographical feature information. The output unit 134 may display the identified preparation information and geographical feature information in association with the selected flight segment. For example, the output unit 134 may display the identified preparation information and geographical feature information near the selected flight segment. In this way, the user can check the preparation information and geographical feature information for each flight segment, even if the flight segment is long distance, for example.

[0046] [Processing flow in information processing device 1] Next, a description will be given of the flow of processing in the information processing device 1. Fig. 6 is a sequence diagram showing the flow of processing in the information processing device 1, the large-scale language model 2, and the terminal 3.

[0047] First, when the first acquisition unit 131 acquires a request to acquire a reception screen from the terminal 3 (S1), it transmits the reception screen to the terminal 3 (S2) and displays the reception screen on the terminal 3. The first acquisition unit 131 accepts at least a flight start position and a flight end position as flight positions of the flying object via the reception screen (S3).

[0048] The first acquisition unit 131 acquires flight route information indicating a plurality of coordinates of the aircraft on the flight route based on the flight position of the accepted aircraft (S4).

[0049] Next, the generation unit 132 generates preparation information corresponding to a predetermined range including the flight route and a prompt for instructing the large-scale language model 2 to acquire geographical feature information (S5). The second acquisition unit 133 inputs the generated prompt to the large-scale language model 2 (S6), and acquires answer information to the prompt from the large-scale language model 2 (S7).

[0050] The second acquisition unit 133 acquires the preparation information and the geographical feature information included in the acquired answer information (S8). The output unit 134 outputs the preparation information and the geographical feature information acquired by the second acquisition unit 133 to the terminal 3 (S9).

[0051] [Variation 1] In the above-described embodiment, the first acquisition unit 131 receives, as information indicating a flight route, a flight start position, which is a two-dimensional position where the aircraft begins flight, and a flight end position, which is a two-dimensional position where the aircraft ends flight. However, this is not limited to this. The first acquisition unit 131 may also acquire flight route information including altitude information indicating the flight altitude of the aircraft. In this case, the first acquisition unit 131 acquires flight route information including altitude information indicating the flight altitude of the aircraft by receiving the flight altitude of the aircraft in addition to the flight start position and flight end position. The first acquisition unit 131 may also accept the flight altitude of the aircraft in each of one or more flight segments included in the aircraft's flight route, and acquire flight route information including altitude information indicating the flight altitude of the aircraft in each of the one or more flight segments.

[0052] The generation unit 132 generates a prompt for instructing the large-scale language model 2 to acquire preparatory information including at least one of a permission application and an adjustment destination when the flying object flies the flight route indicated by the flight route information acquired by the first acquisition unit 131 at a flight altitude indicated by altitude information included in the flight route information. The prompt includes, for example, altitude information included in the flight route information in addition to multiple positions corresponding to the flight route.

[0053] Then, the second acquisition unit 133 inputs the prompt generated by the generation unit 132 into the large-scale language model 2, and acquires answer information including preparation information and geographical feature information corresponding to the case where the aircraft flies at the flight altitude indicated by the altitude information from the large-scale language model 2. Then, the second acquisition unit 133 acquires the preparation information and geographical feature information included in the acquired answer information, and the output unit 134 outputs the preparation information and geographical feature information acquired by the second acquisition unit 133 to the terminal 3. In this way, the user can confirm the permission application required for the flight altitude corresponding to the flight route.

[0054] [Variation 2] Furthermore, when an aircraft receives a GPS (Global Positioning System) signal and flies while determining its own position, the radio wave environment along the flight route may cause the aircraft to be unable to fly due to an inability to receive the GPS signal, etc. For example, if there are facilities along the flight route that emit strong radio waves or if there are many buildings that reflect radio waves, the aircraft may be unable to receive the GPS signal, or the received GPS signal may contain noise, making it impossible to determine the aircraft's exact position, resulting in an interruption to the aircraft's flight.

[0055] In response to this, the generation unit 132 may refer to overhead radio wave information indicating the radio wave environment in the sky within a predetermined range from the flight route of the aircraft, and based on the radio wave environment indicated by the overhead radio wave information, generate a prompt to instruct the large-scale language model 2 to acquire risk information indicating whether there will be any disruption to the flight of the aircraft if the aircraft flies along the flight route indicated by the flight route information acquired by the first acquisition unit 131.

[0056] In this case, the radio wave information in the sky is, for example, created in advance by a telecommunications carrier or the like, and is referenced by the RAG (Retrieval-Augmented Generation) function of the large-scale language model 2. In this case, the generation unit 132 generates a prompt that includes, for example, the address of a storage location where the radio wave information in the sky is stored, and instruction information indicating an instruction to acquire risk information indicating whether or not the flight of the aircraft will be affected if the aircraft flies along the flight route, based on the radio wave environment indicated by the radio wave information in the sky.

[0057] Then, the second acquisition unit 133 inputs the prompt generated by the generation unit 132 to the large-scale language model 2, and acquires answer information including risk information from the large-scale language model 2. Then, the second acquisition unit 133 acquires the risk information included in the acquired answer information, and the output unit 134 outputs the risk information acquired by the second acquisition unit 133 to the terminal 3. In this way, when the aircraft flies along its flight route, the user can easily check whether the radio wave environment around the flight route will interfere with the flight of the aircraft.

[0058] [Variation 3] Furthermore, if there is a location on the flight route where radio waves interfere or if there is a high-rise building on the flight route, the aircraft may be unable to travel along the flight route. In response to such a case, the generation unit 132 may determine whether there is a location on the flight route indicated by the flight route information acquired by the first acquisition unit 131 where the aircraft cannot fly, and if it is determined that there is a location where the aircraft cannot fly, may generate a prompt to instruct the large-scale language model to generate a corrected flight route by correcting the flight route so as to avoid the location.

[0059] For example, the generation unit 132 generates a prompt including instruction information such as a standard phrase, "Determine whether the drone can fly along the flight route based on the coordinates of the specified flight route and the geographical features around the coordinates. If there are any places on the flight route where the drone cannot fly, modify the flight route to avoid those places."

[0060] Then, the second acquisition unit 133 inputs the prompt generated by the generation unit 132 into the large-scale language model 2, and acquires the corrected flight route from the large-scale language model 2. Then, the output unit 134 outputs the corrected flight route acquired by the second acquisition unit 133 to the terminal 3.

[0061] For example, the output unit 134 may display the flight route indicated by the flight route information acquired by the first acquisition unit 131 and the corrected flight route acquired by the second acquisition unit 133 on a map displayed on the terminal 3, or may display only the corrected flight route acquired by the second acquisition unit 133 on a map displayed on the terminal 3 without displaying the flight route indicated by the flight route information acquired by the first acquisition unit 131. In this way, the information processing device 1 can reduce the effort required by the user to correct the flight route when there is a place on the flight route where the flying object cannot fly.

[0062] [Effects of this embodiment] As described above, the information processing device 1 generates a prompt to instruct the large-scale language model 2 to acquire preparatory information related to flight preparations for the aircraft, including at least one of information related to a flight permission application that is required when the aircraft flies the planned flight route and information related to an adjustment destination where flight-related adjustments need to be made, inputs the prompt to the large-scale language model 2, and outputs the preparatory information acquired from the large-scale language model 2. In this way, the information processing device 1 can reduce the workload related to planning a flight route.

[0063] Furthermore, this invention will make it possible to contribute to Goal 9 of the United Nations' Sustainable Development Goals (SDGs), which is "Build resilient infrastructure, promote inclusive and sustainable industrialization, and promote innovation and resilience."

[0064] The present invention has been described above using embodiments, but the technical scope of the present invention is not limited to the scope described in the above embodiments, and various modifications and changes are possible within the scope of the gist of the present invention. For example, all or part of the device can be configured by functionally or physically distributing or integrating any unit. Furthermore, new embodiments resulting from any combination of multiple embodiments are also included in the embodiments of the present invention. The effects of the new embodiments resulting from the combination also have the effects of the original embodiments. [Explanation of symbols]

[0065] 1. Information processing equipment 2 Large-scale language models 3. Terminal 11 Communications Department 12 Storage section 13 Control Unit 131 First acquisition part 132 Generation part 133 Second Acquisition Department 134 Output section

Claims

1. a first acquisition unit that acquires flight route information indicating a planned flight route along which the flying object will fly; a generation unit that generates a prompt for instructing a large-scale language model to acquire preparation information related to flight preparation of the aircraft, the preparation information including information related to an adjustment destination, the adjustment destination including an administrator of the adjustment destination who needs to make flight-related adjustments that will be necessary when the aircraft flies the flight route indicated by the flight route information acquired by the first acquisition unit; and a second acquisition unit that inputs the prompt generated by the generation unit into the large-scale language model and acquires the preparation information from the large-scale language model; an output unit that outputs the preparation information acquired by the second acquisition unit; An information processing device having the above.

2. the generation unit generates the prompt for instructing the large-scale language model to acquire the preparation information including the adjustment destination within a predetermined range including the flight route. The information processing device according to claim 1 .

3. the generation unit generates the prompt for instructing the large-scale language model to acquire geographical feature information indicating geographical features within a predetermined range including the flight route, the geographical feature information including at least one of a manager of natural geographical features and a manager of artificial geographical features; the second acquisition unit inputs the prompt generated by the generation unit into the large-scale language model, and acquires the preparation information and the geographical feature information from the large-scale language model; the output unit outputs the preparation information and the geographical feature information acquired by the second acquisition unit. The information processing device according to claim 1 .

4. the generation unit generates the prompt for instructing the large-scale language model to acquire the geographical feature information indicating the geographical feature that requires attention for the flight of the aircraft within a predetermined range from the flight route. The information processing device according to claim 3 .

5. The output unit displays the geographical feature information acquired by the second acquisition unit at a position corresponding to the geographical feature indicated by the geographical feature information on a map including the flight route displayed on the display unit. The information processing device according to claim 3 .

6. the output unit accepts selection of any one of a plurality of flight segments indicating the flight route, identifies the geographical feature information corresponding to the selected flight segment, and outputs the identified geographical feature information. The information processing device according to claim 3 .

7. The first acquisition unit acquires the flight route information including altitude information indicating a flight altitude of the aircraft, the generation unit generates the prompt for instructing the large-scale language model to acquire the preparation information including the adjustment destination when the flying object flies the flight route indicated by the flight route information acquired by the first acquisition unit at the flight altitude indicated by the altitude information included in the flight route information. The information processing device according to claim 1 .

8. the generation unit refers to sky radio wave information indicating a sky radio wave environment within a predetermined range from the flight route of the aircraft, and generates the prompt for instructing the large-scale language model to acquire risk information indicating whether a disruption to the flight of the aircraft will occur if the aircraft flies the flight route indicated by the flight route information acquired by the first acquisition unit, based on the radio wave environment indicated by the sky radio wave information; The information processing device according to claim 1 .

9. the generation unit determines whether there is a location on the flight route indicated by the flight route information acquired by the first acquisition unit where the aircraft cannot fly, and when it is determined that there is a location where the aircraft cannot fly, generates the prompt to instruct the large-scale language model to generate a corrected flight route by correcting the flight route so as to avoid the location; the second acquisition unit inputs the prompt generated by the generation unit into the large-scale language model and acquires the corrected flight route from the large-scale language model; The output unit outputs the corrected flight route acquired by the second acquisition unit. The information processing device according to claim 1 .

10. The computer executes acquiring flight route information indicating a planned flight route along which the aircraft will fly; generating a prompt to instruct the large-scale language model to acquire preparation information for preparing the aircraft for flight, the preparation information including information on an adjustment destination, including an administrator of the adjustment destination who will need to make flight-related adjustments that will be necessary when the aircraft flies the flight route indicated by the acquired flight route information; inputting the generated prompts into the large-scale language model and obtaining the preparation information from the large-scale language model; outputting the obtained preparation information; An information processing method comprising:

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