Battery installation system, battery installation method, and program

1. A battery installation system, comprising at least one processor configured to:

acquire remaining charge information on a remaining charge of each of a plurality of batteries which are installable in an unmanned aerial vehicle;

acquire battery weight information on a weight of each battery;

acquire location information on a movement destination of the unmanned aerial vehicle;

acquire remaining charge prediction information on each of a plurality of batteries being charged wherein the remaining charge prediction information is an amount of charge in a given battery based on a time until the given battery is to be installed in the unmanned aerial vehicle;

select, based on the remaining charge information, the battery weight information, the location information, and the remaining charge prediction information, from among the plurality of batteries, a battery having a remaining charge equal to or more than a battery consumption amount for moving to the movement destination; and

execute processing for installing the selected battery in the unmanned aerial vehicle;

wherein the processing is processing of outputting identification information on the selected battery and identification information on a package to be transported by the unmanned aerial vehicle in association with each other;

instruct the unmanned aerial vehicle to deliver the package;

wherein the unmanned aerial vehicle delivers the package; and

wherein the remaining charge prediction information is acquired by multiplying an amount of increase in a remaining charge per unit time period by a time period from a current point in time until the time the given battery is to be installed in the unmanned aerial vehicle.

2. The battery installation system according to claim 1 ,

wherein the location information includes information on at least one of a delivery destination or a collection destination of a package to be transported by the unmanned aerial vehicle,

wherein the at least one processor is configured to:

acquire package weight information on the weight of the package, and

select a battery further based on the package weight information.

3. The battery installation system according to claim 1 , wherein the at least one processor is configured to select a battery having the lightest weight when there are a plurality of batteries having a remaining charge equal to or more than the battery consumption amount.

4. The battery installation system according to claim 1 , wherein the at least one processor is configured to:

acquire, based on the battery weight information and the location information, consumption amount information on the battery consumption amount; and

select a battery based on the remaining charge information and the consumption amount information.

5. The battery installation system according to claim 1 ,

wherein the location information includes information on at least one of a delivery destination or a collection destination of a package to be transported by the unmanned aerial vehicle,

wherein the at least one processor is configured to:

acquire center-of-gravity information on a center of gravity exhibited when the package is loaded on the unmanned aerial vehicle, and

select a battery further based on the center-of-gravity information.

6. The battery installation system according to claim 1 , wherein the at least one processor is configured to acquire transportation method information on a transportation method of a package to be transported by the unmanned aerial vehicle, and

select a battery further based on the transportation method information.

7. The battery installation system according to claim 1 , wherein the at least one processor is configured to acquire wind information on a flight route of the unmanned aerial vehicle, and

select a battery further based on the wind information.

8. The battery installation system according to claim 1 , wherein the at least one processor is configured to acquire temperature information on a temperature on a flight route of the unmanned aerial vehicle, and

select a battery further based on the temperature information.

9. The battery installation system according to claim 1 , wherein the at least one processor is configured to:

acquire time information on a time specified for the movement destination, and

acquire the remaining charge prediction information based on the time information.

10. The battery installation system according to claim 1 ,

wherein the location information includes information on at least one of a delivery destination or a collection destination of a package to be transported by the unmanned aerial vehicle,

wherein the at least one processor is configured to acquire package size information on a size of the package, and

select a battery further based on the package size information.

11. The battery installation system according to claim 1 ,

wherein the location information includes information on a delivery destination of a package to be transported by the unmanned aerial vehicle,

wherein the unmanned aerial vehicle is configured to be loaded with a package at a departure point, fly to the delivery destination to deliver the package, and return to a return point, and

wherein the at least one processor is configured to:

acquire first consumption amount information on the battery consumption amount for flying from the departure point to the delivery destination in a state in which the package is loaded on the unmanned aerial vehicle;

acquire second consumption amount information on the battery consumption amount for flying from the delivery destination to the return point in a state in which the package is not loaded on the unmanned aerial vehicle; and

select a battery based on the remaining charge information, the first consumption amount information, and the second consumption amount information.

12. The battery installation system according to claim 1 ,

wherein the location information includes information on a collection destination of a package to be transported by the unmanned aerial vehicle,

wherein the unmanned aerial vehicle is configured to fly from a departure point to the collection destination to collect the package, and return to a return point, and

wherein the at least one processor is configured to:

acquire third consumption amount information on the battery consumption amount for flying from the departure point to the collection destination in a state in which the package is not loaded on the unmanned aerial vehicle;

acquire fourth consumption amount information on the battery consumption amount for flying from the collection destination to the return point in a state in which the package is loaded on the unmanned aerial vehicle; and

select a battery based on the remaining charge information, the third consumption amount information, and the fourth consumption amount information.

13. The battery installation system according to claim 1 ,

wherein the location information includes information on each of a delivery destination and a collection destination of a package to be transported by the unmanned aerial vehicle,

wherein the unmanned aerial vehicle is configured to fly from a departure point to the collection destination to collect the package, fly to the delivery destination to deliver the package, and return to a return point, and

wherein the at least one processor is configured to:

acquire fifth consumption amount information on the battery consumption amount for flying from the departure point to the collection destination in a state in which the package is not loaded on the unmanned aerial vehicle;

acquire sixth consumption amount information on the battery consumption amount for flying from the collection destination to the delivery destination in a state in which the package is loaded on the unmanned aerial vehicle;

acquire seventh consumption amount information on the battery consumption amount for flying from the delivery destination to the return point in a state in which the package is not loaded on the unmanned aerial vehicle; and

select a battery based on the remaining charge information, the fifth consumption amount information, the sixth consumption amount information, and the seventh consumption amount information.

14. A battery installation method, comprising:

acquiring remaining charge information on a remaining charge of each of a plurality of batteries which are installable in an unmanned aerial vehicle;

acquiring battery weight information on a weight of each battery;

acquiring location information on a movement destination of the unmanned aerial vehicle;

acquiring remaining charge prediction information on each of a plurality of batteries being charged wherein the remaining charge prediction information is an amount of charge in a given battery based on a time until the given battery is to be installed in the unmanned aerial vehicle;

selecting, based on the remaining charge information, the battery weight information, the location information, and the remaining charge prediction information, from among the plurality of batteries, a battery having a remaining charge equal to or more than a battery consumption amount for moving to the movement destination; and

executing processing for installing the selected battery in the unmanned aerial vehicle;

wherein the processing is processing of outputting identification information on the selected battery and identification information on a package to be transported by the unmanned aerial vehicle in association with each other;

instructing the unmanned aerial vehicle to deliver the package;

wherein the unmanned aerial vehicle delivers the package;

wherein the remaining charge prediction information is acquired by multiplying an amount of increase in a remaining charge per unit time period by a time period from a current point in time until the time the given battery is to be installed in the unmanned aerial vehicle.

15. A non-transitory computer-readable information storage medium for storing a program for causing a computer to:

acquire remaining charge information on a remaining charge of each of a plurality of batteries which are installable in an unmanned aerial vehicle;

acquire battery weight information indicating a weight of each battery;

acquire location information on a movement destination of the unmanned aerial vehicle;

acquire remaining charge prediction information on each of a plurality of batteries being charged wherein the remaining charge prediction information is an amount of charge in a given battery based on a time until the given battery is to be installed in the unmanned aerial vehicle;

select, based on the remaining charge information, the battery weight information, the location information, and the remaining charge prediction information, from among the plurality of batteries, a battery having a remaining charge equal to or more than a battery consumption amount for moving to the movement destination; and

execute processing for installing the selected battery in the unmanned aerial vehicle;

wherein the processing is processing of outputting identification information on the selected battery and identification information on a package to be transported by the unmanned aerial vehicle in association with each other;

instruct the unmanned aerial vehicle to deliver the package;

wherein the unmanned aerial vehicle delivers the package;

wherein the remaining charge prediction information is acquired by multiplying an amount of increase in a remaining charge per unit time period by a time period from a current point in time until the time the given battery is to be installed in the unmanned aerial vehicle.