WO2023209806A1

WO2023209806A1 - Operation planning device, operation planning system, storage device, information processing device, and operation planning program

Info

Publication number: WO2023209806A1
Application number: PCT/JP2022/018889
Authority: WO
Inventors: 高弘丸山
Original assignee: 三菱電機株式会社
Priority date: 2022-04-26
Filing date: 2022-04-26
Publication date: 2023-11-02

Abstract

An operation planning device (11A) makes operation plans for equipment used in ground work at airports. The operation planning device (11A) comprises: an equipment information storage unit (21) that stores equipment information, which is information related to equipment that can be used for ground work at a plurality of aircraft parking aprons; and an operation plan creation unit (25) that creates an operation plan including schedules for use of the equipment at the plurality of aircraft parking aprons, on the basis of the equipment information and a parking schedule including a scheduled time to start parking an aircraft and a scheduled time to finish parking an aircraft for each of the plurality of aircraft parking aprons.

Description

Operation planning device, operation planning system, storage device, information processing device, and operation planning program

The present disclosure relates to an operation planning device, an operation planning system, a storage device, an information processing device, and an operation planning program that create an operation plan for equipment used in ground operations at an airport.

Equipment such as high-lift loaders, towing tractors, and container dollies are used for ground work performed between the time an aircraft lands at the airport and the time the aircraft takes off. If a set of equipment is placed in each of a plurality of aprons at an airport, there is no need to manage equipment among a plurality of aprons. On the other hand, the fewer aircraft take off and land, the lower the facility utilization rate will be. In this case, arranging a set of equipment in each of the plurality of parking lots does not necessarily lead to efficient operation of the equipment.

Patent Document 1 relates to the control of transport equipment used for transporting cargo at an airport, and describes a method for controlling transport equipment using a model for calculating a transport route for efficiently transporting checked baggage. Computing parameters is disclosed. In Patent Document 1, optimal conditions for a transport route are calculated using information indicating the capacity or constraints of transport equipment as input data so that a set value indicating that cargo transport is in an optimal state is output.

Japanese Patent Application Publication No. 2000-62700

In the conventional technology disclosed in Patent Document 1, there is no description regarding the operation of equipment used at multiple aprons, and there is a problem in that the equipment used at the aprons cannot be operated efficiently.

The present disclosure has been made in view of the above, and the purpose of the present disclosure is to obtain an operation planning device that can formulate an operation plan for efficiently operating equipment used in ground operations at an airport. do.

In order to solve the above-mentioned problems and achieve the objectives, an operation planning device according to the present disclosure is an operation planning device that creates an operation plan for equipment used in ground operations at an airport. The operation planning device according to the present disclosure includes an equipment information storage unit that stores equipment information that is information on equipment that can be used for ground work at a plurality of aprons; Creating an operation plan that includes a schedule for the use of equipment at multiple aprons based on a parking schedule that includes the scheduled time to start parking the aircraft and the scheduled time to end parking the aircraft. It is equipped with a section and a section.

The operation planning device according to the present disclosure has the effect of being able to formulate an operation plan for efficiently operating equipment used in ground operations at an airport.

A diagram showing a configuration example of an operation planning system according to Embodiment 1 A diagram showing an example of equipment information stored in the operation planning device according to the first embodiment A diagram showing an example of an aircraft parking schedule input to the operation planning device according to the first embodiment A diagram showing an example of payload information input to the operation planning device according to the first embodiment A diagram showing an example of standard work time data stored in the operation planning device according to the first embodiment. A diagram showing an example of movement information stored in the operation planning device according to the first embodiment A diagram showing an example of equipment cost information stored in the information processing device according to the first embodiment A diagram showing an example of an operation plan created by the operation plan planning system according to the first embodiment Flowchart showing an example of the operation procedure of the operation planning system according to the first embodiment A diagram illustrating a configuration example of an operation planning system according to Embodiment 2 A diagram showing an example of time consumption information stored in the operation planning device according to the second embodiment A diagram showing an example of supply time information stored in the operation planning device according to the second embodiment A diagram showing a configuration example of an operation plan creation unit when creating an operation plan using machine learning in

Embodiment

1 or 2. A diagram showing a configuration example of a learning device included in the operation plan creation section shown in FIG. 13 A diagram showing a configuration example of an inference device included in the operation plan creation unit shown in FIG. 13 A diagram showing an example of a hardware configuration of an operation planning device according to

Embodiment

1 or 2.

Below, an operation planning device, an operation planning system, a storage device, an information processing device, and an operation planning program according to an embodiment will be described in detail based on the drawings.

Embodiment 1.
FIG. 1 is a diagram showing a configuration example of an operation planning system 10A according to the first embodiment. The operation planning system 10A is a system that creates an operation plan for equipment used in ground operations at an airport.

The operation planning system 10A includes an operation planning device 11A, a storage device 12, and an information processing device 13. The operation planning device 11A, the storage device 12, and the information processing device 13 are connected to a network. The operation planning device 11A, the storage device 12, and the information processing device 13 exchange information with each other via the network. In the first embodiment, the network is, for example, a WAN (Wide Area Network) such as the Internet, but may also be a LAN (Local Area Network).

The operation planning device 11A is a device that draws up an operation plan for equipment used in ground operations at the airport. The operation planning device 11A is operated, for example, by a business operator that operates airport turnaround operations. The operation planning device 11A includes an equipment information storage unit 21 for storing equipment information, a schedule input unit 22 for inputting an aircraft parking schedule, a standard working time storage unit 23 for storing data on standard working hours, and an equipment information storage unit 21 for storing equipment information. It also includes a movement information storage unit 24 that stores movement information regarding movement.

The equipment information is information on equipment that can be used for ground work at multiple aprons, and is a list of equipment that currently exists at the airport. The parking schedule includes a scheduled time to start parking the aircraft and a scheduled time to end parking the aircraft for each of the plurality of parking spots. The parking schedule includes information on the aircraft type, information on the parking lot to be used, parking start time, and parking end time for all aircraft that are subject to ground work.

Standard working time is the standard time required for ground work using equipment. The time required for ground work is the work time per aircraft. Standard working hours are set in advance for each model. The movement information is information about the movement of equipment from one of the plurality of aprons to another one of the plurality of aprons. The movement information is information on the time required to move between parking lots or information on the distance between parking lots.

The operation planning device 11A also includes an operation plan creation unit 25 that creates an equipment operation plan, an operation plan output unit 26 that outputs information on the operation plan, a movement information output unit 27 that outputs movement information, and a standard It includes a standard working time correction section 28 that corrects working time data, and a loading amount information input section 29 into which loaded amount information is input.

The operation plan creation unit 25 creates an operation plan that includes schedules for the use of equipment at a plurality of aprons. The operation plan creation unit 25 creates an operation plan for the equipment by calculation that incorporates equipment information, the parking schedule, movement information that is information on the time or distance required for moving the equipment, and data on standard working hours. create. That is, the operation plan creation unit 25 creates an operation plan for the equipment based on the equipment information, the parking schedule, movement information that is information on the time or distance required for moving the equipment, and data on standard working hours. create.

In this way, each of the equipment information, parking schedule, movement information, and standard work time data is information used by the operation plan creation unit 25 in creating the operation plan. The operation plan creation unit 25 acquires equipment information from the equipment information storage unit 21. The operation plan creation unit 25 obtains the parking schedule from the schedule input unit 22. The operation plan creation unit 25 acquires standard work time data from the standard work time storage unit 23. The operation plan creation unit 25 acquires movement information from the movement information storage unit 24.

The operation plan creation unit 25 creates an operation plan for efficiently operating the equipment by determining an operation plan that uses as few equipment as possible and that moves the equipment as little as possible.

The payload information is information about the amount of payloads to be loaded on the aircraft. The standard work time correction unit 28 acquires the load information from the load information input unit 29 . The standard working time correction unit 28 acquires data on the standard working time from the standard working time storage unit 23. The standard working time correction unit 28 corrects the standard working time data based on the loaded amount information. In this way, the payload information is information used in correcting standard work time data. The standard working time data corrected by the standard working time correction section 28 is stored in the standard working time storage section 23.

The storage device 12 is a device that stores information used for formulating an operation plan by the operation planning device 11A. The storage device 12 is operated, for example, by a company that provides transportation by aircraft. The storage device 12 includes a schedule storage unit 31 that stores an aircraft parking schedule, a schedule output unit 32 that outputs an aircraft parking schedule, a loading information storage unit 33 that stores loading information, and a loading information storage unit 33 that outputs loading information. and a quantity information output section 34.

The schedule output unit 32 transmits the parking schedule to the operation planning device 11A. The schedule input unit 22 of the operation planning device 11A receives the parking schedule transmitted from the schedule output unit 32. The onboard amount information output unit 34 transmits onboard amount information to the operation planning device 11A. The payload information input unit 29 of the operation planning device 11A receives the payload information transmitted from the payload information output unit 34.

The information processing device 13 is a device that processes information on the operation plan created by the operation plan planning device 11A. The information processing device 13 is operated, for example, by a business operator that operates airport turnaround services. The information processing device 13 includes an operation plan input unit 41 into which information on an operation plan is input, a simulation unit 42 that performs simulation, an operation cost calculation unit 43 that calculates operation costs, and an equipment cost calculation unit 43 that stores information on equipment costs. It includes a storage section 44 and a movement information input section 45 into which movement information is input.

The operation plan output unit 26 of the operation plan planning device 11A transmits operation plan information to the information processing device 13. The operation plan input section 41 receives the operation plan information transmitted from the operation plan output section 26. The movement information output unit 27 of the operation planning device 11A transmits movement information to the information processing device 13. The movement information input section 45 receives movement information transmitted from the movement information output section 27.

Equipment costs are the costs required to maintain and manage equipment. The operation cost includes the cost required for maintaining and managing the equipment and the cost required for moving the equipment when operating the equipment according to the operation plan. The cost required to move the equipment includes the labor costs of the workers who move the equipment. Note that the cost required for moving equipment may include costs other than personnel costs. For example, the cost required to move equipment may include the cost of energy consumed by the equipment during movement.

The operation cost calculation unit 43 acquires movement information from the movement information input unit 45. The operation cost calculation unit 43 acquires equipment cost information from the equipment cost storage unit 44. The operation cost calculation unit 43 calculates the cost required to move the equipment based on the movement information. For example, information on personnel costs per unit time is preset in the operation cost calculation unit 43. The operation cost calculation unit 43 calculates the personnel cost per worker by multiplying the time required to move the equipment by the personnel cost per unit time. The operation cost calculation unit 43 multiplies the calculated personnel cost value by the number of workers required for the movement to obtain the personnel cost, which is the cost required for moving the equipment. The operation cost calculation unit 43 calculates the operation cost by adding the cost required for moving the equipment to the equipment cost. The operation cost calculation unit 43 outputs the calculation result of the operation cost to the simulation unit 42.

The simulation unit 42 acquires equipment cost information from the equipment cost storage unit 44. Based on the equipment cost information, the simulation unit 42 calculates the cost required for maintaining and managing the equipment when the equipment is placed in each of a plurality of parking lots. The simulation unit 42 compares, through simulation, the cost required for maintaining and managing the equipment when the equipment is placed in each of a plurality of parking lots, and the operating cost calculated by the operating cost calculating unit 43. The business operator who operates the information processing device 13 can evaluate the operation plan from a cost perspective based on the results of the simulation performed by the information processing device 13.

Note that the operation plan created by the operation plan creation unit 25 is not an operation plan that indicates that the equipment is used at each apron while moving the equipment among a plurality of aprons, but a plan that indicates that the equipment is used at each apron. It may also be a conventional operational plan that indicates that equipment will be located at When a conventional operation plan is created, the operation cost calculated by the operation cost calculation unit 43 is the cost required for maintaining and managing the equipment when the equipment is arranged in each of a plurality of parking lots. Even in this case, it can be guaranteed that the conventional operation plan is an operation plan that allows the equipment to be operated efficiently. However, the operation plan creation unit 25 may set restrictions when creating the operation plan. The constraints when creating an operation plan are that the number of equipment used in the operation plan is smaller than the number of aprons at the airport, and that the same equipment is used in multiple aprons. The operation plan creation unit 25 may set one of these two constraints, or may set both of them.

Next, details of the information used in creating an operation plan by the operation plan planning device 11A will be explained. FIG. 2 is a diagram showing an example of equipment information stored in the operation planning device 11A according to the first embodiment. The equipment information includes equipment ID and equipment type information. The equipment ID is an identifier given to each of a plurality of equipment used in ground operations at the airport. Each facility is uniquely identified by a facility ID. The equipment type information is a classification name of equipment, a group name for handling two or more equipment as a group, or the like. The equipment information storage unit 21 stores equipment information regarding all equipment used in ground work at the airport.

FIG. 3 is a diagram showing an example of an aircraft parking schedule input to the operation planning device 11A according to the first embodiment. The parking schedule includes the aircraft number, information on the model of each aircraft, parking area code, flight number at arrival, information on parking start time, flight number at departure, and information on parking end time. The aircraft number is a number assigned to each of a plurality of aircraft that departs from and arrives at the airport. Each aircraft is uniquely identified by an aircraft number. The apron code is a code assigned to each of a plurality of aprons at an airport. In the example shown in FIG. 3, the code is a number. Each tarmac is uniquely identified by a tarmac code. The flight number at the time of arrival is the flight number used when the aircraft arrives at the airport and starts parking. The departure flight number is the flight number used when leaving the airport after parking the aircraft.

The parking schedule is created, for example, by a business operator that provides transportation by aircraft, and is stored in the schedule storage unit 31. A daily aircraft parking schedule is input into the schedule input section 22 . Note that the parking schedule stored in the schedule storage section 31 or the parking schedule input to the schedule input section 22 may include information other than the information shown in FIG. 3.

FIG. 4 is a diagram showing an example of payload information input to the operation planning device 11A according to the first embodiment. The payload information includes the flight number, information on the model of each aircraft, information on the number of containers on board, information on the number of cargo on board, and information on total weight. In the example shown in FIG. 4, the number of containers in which small items such as hand luggage are stored is divided into the number of containers that are loaded with cargo other than containers. The total weight is the combined weight of the container and cargo. In FIG. 4, the unit of total weight is arbitrary. The flight number included in the payload information includes the flight number at the time of arrival and the flight number at the time of departure. The payload information is created, for example, by a company that provides transportation by aircraft, and is stored in the payload information storage unit 33. The payload information input section 29 receives payload information regarding all aircraft arriving at and departing from the airport.

Note that the payload information stored in the payload information storage section 33 or the payload information input to the payload information input section 29 is not limited to what is shown in FIG. 4. In the load information, the number of containers and the number of cargo do not need to be separated from each other, and the information on the total of the number of containers and the number of cargo may be included in the load information. In the load information, the weight of the container and the weight of the cargo may be separated from each other.

FIG. 5 is a diagram showing an example of standard work time data stored in the operation planning device 11A according to the first embodiment. The standard working time storage unit 23 stores data on standard working hours for each model. The standard work information data is stored in association with the machine type information. In FIG. 5, the unit of standard work time is assumed to be arbitrary. In addition, in the example shown in FIG. 5, the average number of containers for each model, the average number of cargo for each model, and the average total weight for each model are stored together with the standard work information. . In FIG. 5, the average unit of the total weight is arbitrary. The operation plan creation unit 25 receives input of standard work time data and creates an operation plan by calculation incorporating the standard work time data.

In the example shown in FIG. 5, the items of information stored together with the standard work time data correspond to the items of payload information shown in FIG. Each piece of information stored in the standard work time storage unit 23 is set, for example, by the business operator who operates the operation planning device 11A. In addition, when the total of the number of containers and the number of cargo is included in the load information, the average of the total of the number of containers and the number of cargo may be stored in the standard working time storage unit 23. If the weight of the container and the weight of the cargo are separated from each other in the load information, the average weight of the container and the average weight of the cargo may be stored in the standard working time storage unit 23.

The standard working time correction unit 28 corrects the standard working time data shown in FIG. 5 based on the loading amount information shown in FIG. 4. For example, the standard working time correction unit 28 calculates the difference between the average number of containers stored together with the standard working time data and the number of containers indicated in the loading amount information. The standard work time correction unit 28 calculates the difference between the average number of cargo items stored together with the standard work time data and the number of cargo items indicated in the load information. The standard working time correction unit 28 calculates the difference between the average total weight stored together with the standard working time data and the total weight shown in the loaded amount information. The standard working time correction unit 28 calculates the corrected standard working time by substituting each calculated difference into a preset calculation formula. Alternatively, if the standard working time is expressed by the formula ax+by+cz, the standard working time correction unit 28 may correct the standard working time based on the formula. In this formula, each of a, b, and c is a weighting coefficient, x is the average number of containers, y is the average number of cargoes, and z is the average total weight. Note that any method can be applied to correct the standard work time data.

FIG. 6 is a diagram showing an example of movement information stored in the operation planning device 11A according to the first embodiment. The movement information includes information on the travel time required for moving equipment between one apron and each other apron for a plurality of aprons. Further, in the example shown in FIG. 6, information on the travel time required for moving the equipment between the parking lot and the supply point is included. The supply point shall be the point at which the equipment receives energy supply. In the first embodiment, energy is fuel such as gasoline or electrical energy. It is assumed that there are multiple supply points at the airport. The movement information includes information on the time required to move the equipment to and from each parking lot for each of the plurality of supply points. In FIG. 6, the "first apron" represents the apron with the apron code "1". The "second apron" represents the apron with the apron code "2". The "third apron" represents the apron with the apron code "3". In FIG. 6, the "first supply point" is one of the plurality of supply points. In FIG. 6, the unit of time is assumed to be arbitrary.

The moving time is, for example, the standard time it takes for a worker to move the equipment from a source point such as an apron or a supply point to a destination point such as an apron or a supply point. If there is a point via equipment between the source point and the destination point, the travel time is the time from the source point to the destination point via the transit point. good. A transit point is, for example, a cargo handling area where baggage or cargo is transported to a location other than an apron using equipment.

Note that in consideration of the case where the movement speed differs for each piece of equipment, the movement information storage unit 24 may store movement information for each of a plurality of pieces of equipment. The movement information is not limited to information on movement time, but may also be information on movement distance, which is the distance from the apron or supply point that is the source point to the apron or supply point that is the destination point. In this case, the operation plan creation unit 25 calculates the time required to move the equipment by dividing the moving distance value by the speed value.

The operation plan creation unit 25 calculates the time required to move the equipment from one of the plurality of aprons to another one of the plurality of aprons by inputting movement information that is information about the movement time or the movement distance. Create an operational plan using calculations that incorporate this information. In addition, the operation plan creation unit 25 generates an operation plan including a schedule for moving equipment for energy supply by inputting movement information including information about movement between the apron and the supply point. create.

FIG. 7 is a diagram showing an example of equipment cost information stored in the information processing device 13 according to the first embodiment. The equipment cost storage unit 44 stores information on equipment costs for each equipment type. Equipment cost information is stored in association with equipment type information. Here, the equipment cost is the annual cost required to maintain and manage the equipment. In FIG. 7, it is assumed that the unit of equipment cost is arbitrary.

FIG. 8 is a diagram showing an example of an operation plan created by the operation plan planning system 10A according to the first embodiment. FIG. 8 shows an example of an operation plan for one day, and an example of an operation plan for two of a plurality of facilities that can be used for ground work at a plurality of parking lots.

In the operation plan shown in Figure 8, for the equipment with equipment ID "a0010," work will be performed at the first parking lot from 8:00 to 11:00, and work will be performed at the third parking lot from 12:00 to 15:00. The schedule includes working at the airport, and then returning to the No. 1 tarmac from 3:30 p.m. to 6:30 p.m. Also, according to the schedule, the equipment with equipment ID "a0010" will be moved from the 1st parking lot to the 3rd parking lot between 11:00 and 12:00, and from 15:00 to 15:30. During this period, the aircraft moved from the third parking lot to the first parking lot.

In the operation plan shown in Figure 8, for the equipment with equipment ID "a0011", work will be carried out at the 5th parking lot from 9:00 to 12:00, and from 12:30 to 14:30 the work will be carried out at the 1st parking lot. The schedule includes receiving energy supply at the site and carrying out work at No. 4 tarmac from 3:00 p.m. to 6:30 p.m. Also, according to the schedule, the equipment with equipment ID "a0011" will be moved from the 5th parking lot to the 1st supply point between 12:00 and 12:30, and from 14:30 to 15:00. During this period, the aircraft moves from the first supply point to the fourth apron.

As illustrated in FIG. 8, the operation plan creation unit 25 creates an operation plan that includes schedules for the use of equipment at a plurality of parking lots. Further, the operation plan creation unit 25 creates an operation plan including a schedule for energy supply to the equipment for equipment that requires energy supply during the day indicated in the operation plan.

Next, the operation of the operation planning system 10A will be explained. FIG. 9 is a flowchart illustrating an example of the operation procedure of the operation planning system 10A according to the first embodiment. As a premise of the operation procedure described below, the schedule storage unit 31 stores an aircraft parking schedule for the day on which the operation plan is to be created. The equipment information storage unit 21 stores equipment information. The standard working time storage unit 23 stores data on standard working hours. The movement information storage section 24 stores movement information. The loading amount information storage section 33 stores loading amount information.

Steps S1 to S4 are operations of the operation planning device 11A. In step S1, the operation planning device 11A receives the parking schedule and the payload information. The operation planning device 11A receives the parking schedule transmitted from the schedule output unit 32 through the schedule input unit 22. The operation planning device 11A receives the payload information transmitted from the payload information output unit 34 through the payload information input unit 29.

In step S2, the operation planning device 11A uses the standard work time correction unit 28 to correct the standard work time data. The standard work time correction unit 28 corrects the standard work time data when the payload of the flight for which the operation plan is to be created is known based on the payload information received in step S1. If the payload information of the flight for which the operation plan is to be created cannot be determined from the payload information received in step S1, the operation plan planning device 11A omits the procedure of step S2.

In step S3, the operation planning device 11A uses the operation plan creation unit 25 to create an operation plan based on the equipment information and the parking schedule. The operation plan creation unit 25 creates an operation plan for the equipment through calculations that incorporate equipment information, the parking schedule, travel information that is information on travel time or travel distance, and data on standard working hours. In step S4, the operation planning device 11A outputs information on the operation plan created in step S3 using the operation plan output unit 26.

Step S5 and step S6 are operations of the information processing device 13. The information processing device 13 receives operation plan information transmitted from the operation plan output section 26 through the operation plan input section 41 . Further, the information processing device 13 receives movement information transmitted from the movement information output section 27 through the movement information input section 45 . In step S5, the information processing device 13 uses the operation cost calculation unit 43 to calculate the operation cost when operating the equipment according to the operation plan. The operation cost calculation unit 43 outputs the calculation result of the operation cost to the simulation unit 42.

In step S6, the simulation unit 42 of the information processing device 13 compares the cost of arranging equipment in each of the plurality of parking lots with the calculated operating cost through simulation. The information processing device 13 presents the results of the simulation. With the above, the operation planning system 10A ends the operation according to the procedure shown in FIG. 9.

According to Embodiment 1, the operation planning device 11A creates an operation plan including schedules for the use of equipment at a plurality of parking lots based on the equipment information and the parking schedule. As a result, the number of equipment to be operated can be reduced and the equipment can be operated efficiently. Further, the operation planning device 11A creates an operation plan by taking into account information about the time or distance required for moving the equipment from one of the plurality of parking lots to another one of the plurality of parking lots. As a result, while taking into consideration the movement of equipment required for ground work at each parking lot, it is possible to minimize the movement of equipment, and the equipment can be operated efficiently. Further, the operation planning device 11A creates an operation plan by taking into consideration data on standard work time, which is the standard of time required for ground work using equipment. This allows for more accurate operation planning. Furthermore, the operation planning device 11A corrects the standard work time data based on information about the amount of cargo to be loaded on the aircraft. This reduces variations in standard work hours and allows for more accurate operation planning.

The specific form of distributing or integrating each component in the operation planning system 10A according to the first embodiment is not limited to that described in the first embodiment. For example, at least one of the schedule storage section 31 and the payload information storage section 33 may be included in the operation planning device 11A. By providing the schedule storage unit 31 and the load information storage unit 33 in the operation planning device 11A, the functions of the operation planning device 11A and the functions of the storage device 12 may be realized by one device. Alternatively, at least one of the simulation section 42, the operation cost calculation section 43, and the equipment cost storage section 44 may be included in the operation planning device 11A. By providing the simulation section 42, the operation cost calculation section 43, and the equipment cost storage section 44 in the operation planning device 11A, the functions of the operation planning device 11A and the functions of the information processing device 13 can be realized by one device. It's okay. Furthermore, the functions of the operation planning device 11A, the storage device 12, and the information processing device 13 may be realized by one device.

Embodiment 2.
FIG. 10 is a diagram showing a configuration example of an operation planning system 10B according to the second embodiment. The operation planning system 10B creates an operation plan including a schedule for energy supply to the equipment by calculation that incorporates the remaining energy of the equipment. In Embodiment 2, the same components as in Embodiment 1 described above are given the same reference numerals, and configurations that are different from Embodiment 1 will mainly be explained.

The operation planning system 10B includes an operation planning device 11B, a storage device 12, and an information processing device 13. The operation planning device 11B includes a consumption time storage unit 51 and a supply time storage unit 52 in addition to the same configuration as the operation planning device 11A shown in FIG.

The time consumption storage unit 51 stores time consumption information. The consumption time information is information about the time required for the equipment to consume a preset amount of energy. The supply time storage unit 52 stores supply time information. The supply time information is information on the time required to supply a preset amount of energy to the equipment.

The operation plan creation unit 25 acquires time consumption information from the time consumption storage unit 51. The operation plan creation unit 25 calculates the remaining energy of the equipment based on the consumption time information. The operation plan creation unit 25 creates an operation plan including a schedule for energy supply to the equipment by calculation that incorporates the remaining amount of energy. Note that when the operation plan creation unit 25 creates the operation plan, it is not necessary to include the schedule for energy supply to the equipment in the operation plan. For example, when the operation plan creation unit 25 creates an operation plan every day, on the day that is the target of the operation plan, all the equipment has sufficient energy remaining and at least no energy supply is required for that day. If it is determined, the energy supply schedule does not need to be included in the operation plan.

The operation plan creation unit 25 acquires supply time information from the supply time storage unit 52. The operation plan creation unit 25 calculates a supply time, which is the time required for energy supply, based on the supply time information. The operation plan creation unit 25 creates an operation plan including supply time. Note that when the operation plan creation unit 25 creates the operation plan, it is not necessary to include the supply time in the operation plan. For example, when the operation plan creation unit 25 creates an operation plan every day, on the day that is the target of the operation plan, all the equipment has sufficient energy remaining and at least no energy supply is required for that day. If it is determined, supply time does not need to be included in the operation plan.

Details of the information used in creating an operation plan by the operation plan planning device 11B will be explained. FIG. 11 is a diagram showing an example of time consumption information stored in the operation planning device 11B according to the second embodiment.

The time consumption information stored in the time consumption storage unit 51 includes data on the time required for energy consumption when moving the equipment, and data on the time required for energy consumption when working with the equipment. The time required for energy consumption is the time required to consume a preset amount of energy. The preset amount is, for example, an amount of energy equivalent to 1% when the maximum amount of energy that can be stored in the equipment is 100%. In FIG. 11, it is assumed that the unit of data for the required time is arbitrary. The required time data is stored in association with the equipment ID. The time consumption information is set, for example, by a business operator that operates the operation planning device 11B.

In the example shown in FIG. 11, the required time data is associated with the range of remaining energy. For example, the time consumption information for equipment with equipment ID "a0010" includes data on the required time when the remaining energy level is "0 to 35" and data on the required time when the remaining energy level is "36 to 100." included. The remaining energy amount "0 to 35" indicates that the amount of energy remaining in the equipment is from 0% to 35%, with the maximum amount of energy that can be stored in the equipment being 100%. The remaining energy amount "36 to 100" indicates that the amount of energy remaining in the equipment is from 36% to 100%.

The operation plan creation unit 25 predicts the amount of energy consumed by the equipment during movement based on the data on the time required for energy consumption when the equipment is moved and the movement information. The operation plan creation unit 25 predicts the amount of energy that the equipment will consume during work based on the data on the time required for energy consumption during work by the equipment and the standard work time. The operation plan creation unit 25 calculates the remaining amount of energy of the equipment based on the prediction result of the amount of energy consumed by the equipment. In this way, the operation plan creation unit 25 calculates the remaining energy of the equipment based on the time consumption information. The operation plan creation unit 25 can accurately calculate the remaining amount of energy when the required time of energy consumption changes depending on the remaining amount of energy by setting the data of the amount of time required for energy consumption for each range of remaining energy amount. I can do it.

FIG. 12 is a diagram showing an example of supply time information stored in the operation planning device 11B according to the second embodiment. In the supply time information stored in the supply time storage unit 52, the time required for energy supply is the time required to supply a preset amount of energy. The preset amount is, for example, an amount of energy equivalent to 1% when the maximum amount of energy that can be stored in the equipment is 100%. In FIG. 12, it is assumed that the unit of required time is arbitrary. The required time data is stored in association with the equipment ID. Furthermore, in the example shown in FIG. 12, similarly to the case of the consumption time information shown in FIG. 11, the data on the required time is associated with the range of the remaining energy amount. The supply time information is set, for example, by a business operator that operates the operation planning device 11B.

The operation plan creation unit 25 calculates the time required to supply energy to the equipment based on the supply time information and the calculated remaining energy amount. By setting the supply time information for each range of remaining energy amount, the operation plan creation unit 25 can calculate an accurate supply time when the supply time changes depending on the remaining energy amount.

Note that the operation plan creation unit 25 may calculate the supply time required to supply energy to the equipment based only on the supply time information. In this case, the supply time information is not data associated with the range of the remaining energy amount, but can be a constant value regardless of the remaining energy amount. That is, the supply time information stored in the supply time storage section 52 does not need to include information indicating the range of remaining energy. The operation plan creation unit 25 calculates the supply time based on the supply time information, which is a constant value regardless of the remaining amount of energy.

The operation plan creation unit 25 calculates the remaining energy of the equipment, and creates an operation plan that includes a schedule for energy supply to the equipment by calculation that incorporates the remaining energy. Thereby, the operation planning device 11B can formulate an operation plan that enables energy to be supplied to the equipment at an appropriate timing according to the remaining amount of energy. Further, the operation plan creation unit 25 calculates the supply time and creates an operation plan including the supply time. Thereby, the operation planning device 11B can formulate an operation plan that incorporates the time required for energy supply.

According to the second embodiment, the operation planning device 11B calculates the remaining energy amount of the equipment and the supply time, which is the time required to supply energy to the equipment, and calculates a plurality of energy supply times based on the remaining energy amount and the supply time. Develop an operations plan that includes a schedule for the use of equipment on the tarmac. As a result, the movement of equipment can be minimized while taking energy supply schedules into consideration, and the equipment can be operated more efficiently.

The specific form of distributing or integrating each component in the operation planning system 10B according to the second embodiment is not limited to that described in the second embodiment. For example, at least one of the schedule storage section 31 and the load information storage section 33 may be included in the operation planning device 11B. By providing the schedule storage section 31 and the load information storage section 33 in the operation planning device 11B, the functions of the operation planning device 11B and the functions of the storage device 12 may be realized by one device. Alternatively, at least one of the simulation section 42, the operation cost calculation section 43, and the equipment cost storage section 44 may be included in the operation planning device 11B. By providing the simulation unit 42, the operation cost calculation unit 43, and the equipment cost storage unit 44 in the operation planning device 11B, the functions of the operation planning device 11B and the functions of the information processing device 13 are realized by one device. It's okay. Furthermore, the functions of the operation planning device 11B, the functions of the storage device 12, and the functions of the information processing device 13 may be realized by one device.

In the first embodiment, the operation planning device 11A performs operation planning using an arbitrary method based on equipment information, a parking schedule, travel information that is information on travel time or travel distance, and data on standard work hours. Create a plan. In the second embodiment, the operation planning device 11B includes equipment information, a parking schedule, travel information that is information on travel time or travel distance, standard work time data, consumption time information, and supply time information. Create an operational plan by any method based on the above. The operation planning devices 11A and 11B may create operation plans using machine learning, for example.

Here, we will explain how to create an operation plan using machine learning. FIG. 13 is a diagram illustrating a configuration example of the operation plan creation unit 60 when creating an operation plan using machine learning in the first or second embodiment. The operation plan creation unit 60 is an example of the operation plan creation unit 25 that creates an operation plan using machine learning.

The operation plan creation unit 60 includes a learning device 61, an inference device 62, and a learned model storage unit 63. The learning device 61 learns an operation plan that enables efficient operation of equipment. An operation plan that enables efficient operation of equipment is, for example, an operation plan that uses as few equipment as possible and that moves the equipment as little as possible. The learning device 61 outputs a learned model that is a result of learning. The learned model storage unit 63 stores learned models. The inference device 62 reads out a learned model for inferring the operation plan from the learned model storage unit 63. The inference device 62 outputs an operation plan as an inference result by inputting inference data to the learned model.

FIG. 14 is a diagram showing a configuration example of the learning device 61 included in the operation plan creation section 60 shown in FIG. 13. The learning device 61 includes a data acquisition section 64 and a model generation section 65. The data acquisition unit 64 acquires learning data and creates a data set in which the learning data is combined. In the case of the first embodiment, the learning data is equipment information, parking schedule, movement information, standard work time data, and operation plan information. In the case of Embodiment 1, the operation plan information includes information on an operation plan created based on equipment information, parking schedule, movement information, and standard work time data. In the case of the second embodiment, the learning data includes equipment information, parking schedule, movement information, standard work time data, consumption time information, supply time information, and operation plan information. In the case of the second embodiment, the operation plan information is information on an operation plan created based on equipment information, parking schedule, movement information, standard work time data, consumption time information, and supply time information.

The model generation unit 65 generates a learned model using the learning data. In the case of the first embodiment, the model generation unit 65 generates a learned model for inferring an operation plan from data on equipment information, parking schedule, movement information, and standard working hours. In the case of the second embodiment, the model generation unit 65 generates a learned model for inferring an operation plan from equipment information, parking schedule, movement information, standard work time data, consumption time information, and supply time information. do.

As a learning algorithm used by the model generation unit 65, a known algorithm such as supervised learning, unsupervised learning, or reinforcement learning can be used. As an example, a case will be described in which reinforcement learning is applied to the learning algorithm used by the model generation unit 65. Reinforcement learning is a method in which an agent in an environment observes the current state and decides what action to take. Agents obtain rewards from the environment by selecting actions, and through a series of actions, they learn strategies that will yield the most rewards. Q-learning, TD-learning, and the like are known as representative methods of reinforcement learning. For example, in the case of Q-learning, the action value table, which is a general update formula for the action value function Q(s, a), is expressed by the following equation (1). The action value function Q(s, a) represents the action value Q, which is the value of the action of selecting action "a" under environment "s".

In equation (1), "s _t " represents the environment at time "t". “a _t ” represents an action at time “t”. The action "a _t " changes the environment to "s _t+1 ". “r _t+1 ” represents the reward received as a result of the change in the environment. "γ" represents a discount rate. "α" represents a learning coefficient. The operation plan information becomes the environment "s _t ". The method of updating the operation plan in the model generation unit 65 or the point of updating the operation plan is the action "a _t ". In the case of Embodiment 1, data on equipment information, parking schedule, movement information, and standard working hours are data referenced when updating the operation plan. In the case of the second embodiment, equipment information, parking schedule, movement information, standard work time data, consumption time information, and supply time information are data referenced when updating the operation plan.

The update formula expressed by equation (1) is that if the action value of the best action "a" at time "t+1" is greater than the action value Q of action "a" executed at time "t", then the action Increase the value Q, and in the opposite case, decrease the action value Q. In other words, the action value function Q(s, a) is updated so that the action value Q of action "a" at time "t" approaches the best action value at time "t+1". As a result, the best action value in a certain environment is sequentially propagated to the action value in the previous environment.

The model generation unit 65 includes a reward calculation unit 66 and a function update unit 67. The remuneration calculation unit 66 calculates remuneration based on the data set. The function update unit 67 updates the function for determining the operation plan according to the remuneration calculated by the remuneration calculation unit 66.

Specifically, the remuneration calculation unit 66 calculates the remuneration "r" based on the value of the objective function using the efficiency of the operation plan as an index. Efficiency in operational planning refers to how little equipment is used and how little equipment is moved. For example, when the value of the objective function changes in a direction that improves the efficiency of the operation plan, the remuneration calculation unit 66 increases the remuneration “r”. The reward calculation unit 66 increases the reward "r" by giving a reward value of "1". Note that the reward value is not limited to "1". When the value of the objective function changes in a direction that reduces the efficiency of the operation plan, the remuneration calculation unit 66 decreases the remuneration "r". The reward calculation unit 66 reduces the reward "r" by giving a reward value of "-1". Note that the reward value is not limited to "-1".

The function update unit 67 updates a function that is a model for determining the operation plan according to the remuneration calculated by the remuneration calculation unit 66. Updating the function can be done according to the data set, for example by updating the action value table. The action value table is a data set in which arbitrary actions and their action values are associated with each other and stored in a table format. For example, in the case of Q-learning, the action value function Q(s _t , a _t ) expressed by the above equation (1) is used as a function for determining the operation plan.

Up to this point, a case has been described in which reinforcement learning is applied to the learning algorithm used by the model generation unit 65, but learning other than reinforcement learning may be applied to the learning algorithm. The model generation unit 65 executes machine learning using a known learning algorithm other than reinforcement learning, for example, a learning algorithm such as deep learning, neural network, genetic programming, inductive logic programming, or support vector machine. Also good.

The learning device 61 is not limited to the one built in the operation planning devices 11A and 11B. The learning device 61 may be realized by a device external to the operation planning devices 11A and 11B. In this case, the device functioning as the learning device 61 may be a device connectable to the operation planning devices 11A and 11B via a network. The device functioning as the learning device 61 may be a device existing on a cloud server.

FIG. 15 is a diagram showing a configuration example of the inference device 62 included in the operation plan creation section 60 shown in FIG. 13. The inference device 62 infers an operation plan that enables efficient operation of the equipment based on the inference data.

The inference device 62 has a data acquisition section 68 and an inference section 69. The data acquisition unit 68 acquires inference data. In the case of the first embodiment, the inference data is equipment information, parking schedule, movement information, and standard work time data. In the case of the second embodiment, the inference data is equipment information, parking schedule, movement information, standard work time data, consumption time information, and supply time information.

The inference unit 69 reads out the learned model generated by the learning device 61 from the learned model storage unit 63. The inference unit 69 infers the operation plan by inputting inference data to the learned model. The inference unit 69 outputs operation plan information that is the inference result.

In this way, the operation plan creation unit 60 creates an operation plan using machine learning. Thereby, the operation planning devices 11A and 11B can formulate an operation plan that enables efficient operation of the equipment.

Next, the hardware configuration of the operation planning devices 11A and 11B will be explained. FIG. 16 is a diagram showing an example of the hardware configuration of the operation planning devices 11A and 11B according to the first or second embodiment. The operation planning devices 11A and 11B are realized by a computer system including a processing circuit 90 and a communication device 91. Processing circuit 90 includes a processor 92 and memory 93. Processing circuit 90 is a circuit on which processor 92 executes software.

The operation plan creation unit 25 and standard work time correction unit 28, which are processing units of the operation planning devices 11A and 11B, are realized by software, firmware, or a combination of software and firmware. Software or firmware is written as a program and stored in memory 93. In the processing circuit 90, the processor 92 reads out and executes the operation planning program, which is a program stored in the memory 93, thereby realizing the functions of the operation plan creation section 25 and the standard work time correction section 28. That is, the processing circuit 90 includes a memory 93 for storing a program by which the processing of the operation planning devices 11A and 11B is executed. It can be said that the operation planning program stored in the memory 93 causes a computer to execute the procedures and methods of the operation planning devices 11A and 11B.

The processor 92 is a CPU (Central Processing Unit, also referred to as a central processing unit, processing unit, arithmetic unit, microprocessor, microcomputer, processor, or DSP (Digital Signal Processor)). The memory 93 includes, for example, RAM (Random Access Memory), ROM (Read Only Memory), flash memory, EPROM (Erasable Programmable Read Only Memory), and EEPROM (registered trademark) (Electrically Erasable Programmable Read Only Memory). emory), etc., non-volatile Alternatively, volatile semiconductor memory, magnetic disk, flexible disk, optical disk, compact disk, mini disk, DVD (Digital Versatile Disc), etc. are applicable. The equipment information storage section 21, the standard working time storage section 23, and the movement information storage section 24 are realized by the memory 93. The schedule input section 22, the operation plan output section 26, the movement information output section 27, and the payload information input section 29 are realized by the communication device 91.

Next, the hardware configuration of the storage device 12 will be explained. The storage device 12 has a hardware configuration similar to that shown in FIG. 16. Here, the hardware configuration of the storage device 12 will be described with reference to FIG. 16. The storage device 12 is realized by a computer system including a processing circuit 90 and a communication device 91. The schedule storage section 31 and the loading amount information storage section 33 are realized by the memory 93. The schedule output unit 32 and the load information output unit 34 are realized by the communication device 91.

Next, the hardware configuration of the information processing device 13 will be explained. The information processing device 13 has a hardware configuration similar to the hardware configuration shown in FIG. Here, the hardware configuration of the information processing device 13 will be described with reference to FIG. 16. The information processing device 13 is realized by a computer system including a processing circuit 90 and a communication device 91. The simulation section 42 and the operation cost calculation section 43 are realized by the processor 92 reading and executing a program stored in the memory 93. The equipment cost storage section 44 is realized by the memory 93. The operation plan input section 41 and the movement information input section 45 are realized by the communication device 91.

Each of the operation planning devices 11A and 11B, the storage device 12, and the information processing device 13 may include an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array). Each of the operation planning devices 11A and 11B, the storage device 12, and the information processing device 13 may be composed of two or more devices. The operation planning program may be stored in a recording medium such as a CD (Compact Disc)-ROM or DVD-ROM, and the recording medium may be provided to realize each embodiment.

The configurations shown in each of the embodiments above are examples of the content of the present disclosure. The configuration of each embodiment can be combined with other known techniques. The configurations of each embodiment may be combined as appropriate. It is possible to omit or change a part of the configuration of each embodiment without departing from the gist of the present disclosure.

10A, 10B Operation planning system, 11A, 11B Operation planning device, 12 Storage device, 13 Information processing device, 21 Equipment information storage section, 22 Schedule input section, 23 Standard work time storage section, 24 Movement information storage section, 25 Operation plan creation section, 26 Operation plan output section, 27 Movement information output section, 28 Standard work time correction section, 29 Payload information input section, 31 Schedule storage section, 32 Schedule output section, 33 Payload information storage section, 34 Mounting Quantity information output unit, 41 Operation plan input unit, 42 Simulation unit, 43 Operation cost calculation unit, 44 Equipment cost storage unit, 45 Movement information input unit, 51 Consumption time storage unit, 52 Supply time storage unit, 60 Operation plan creation unit , 61 Learning device, 62 Inference device, 63 Learned model storage unit, 64 Data acquisition unit, 65 Model generation unit, 66 Reward calculation unit, 67 Function update unit, 68 Data acquisition unit, 69 Inference unit, 90 Processing circuit, 91 Communication device, 92 processor, 93 memory.

Claims

An operation planning device that creates an operation plan for equipment used in ground operations at an airport, the device comprising:
an equipment information storage unit that stores equipment information that is information about the equipment that can be used for the ground work at a plurality of aprons;
Based on the equipment information and a parking schedule including a scheduled time to start parking the aircraft and a scheduled time to end parking the aircraft for each of the plurality of parking lots, an operation plan creation unit that creates the operation plan including a schedule for the use of the equipment;
An operation planning device characterized by comprising:
The operation plan creation unit creates the operation plan by calculation incorporating information on the time or travel distance required for moving the equipment from one of the plurality of parking lots to another one of the plurality of parking lots. The operation planning device according to claim 1, characterized in that:
3. The operation plan creation unit creates the operation plan by calculation incorporating data on standard work time, which is a standard of time required for the ground work using the equipment. Operation planning device.
comprising a standard working time correction unit that corrects the standard working time data based on information about the amount of cargo to be loaded on the aircraft,
4. The operation planning device according to claim 3, wherein the operation plan creation unit creates the operation plan by calculation incorporating data of the corrected standard working hours.
5. The operation plan creation unit calculates the remaining energy amount of the equipment, and creates the operation plan by calculation incorporating the remaining energy amount. Operation planning device.
6. The operation plan creation unit calculates the remaining amount of energy of the equipment based on data on the time required for the equipment to consume a preset amount of energy. Operation planning device.
The operation plan creation unit calculates a supply time, which is the time required to supply energy, based on data on the time required to supply a preset amount of energy to the equipment, and creates the operation plan. The operation planning device according to any one of claims 1 to 6, characterized in that:
An operation planning system for creating an operation plan for equipment used in ground operations at an airport, the system comprising:
an equipment information storage unit that stores equipment information that is information about the equipment that can be used for the ground work at a plurality of aprons;
Based on the equipment information and a parking schedule including a scheduled time to start parking the aircraft and a scheduled time to end parking the aircraft for each of the plurality of parking lots, an operation plan creation department that creates an operation plan including a schedule for the use of the equipment;
An operation planning system characterized by comprising:
comprising a schedule storage unit that stores the aircraft parking schedule;
9. The operation planning system according to claim 8, wherein the operation plan creation unit creates the operation plan based on the equipment information and the parking schedule acquired from the schedule storage unit.
a payload information storage unit that stores payload information that is information about the amount of payloads to be loaded on the aircraft;
a standard work time correction unit that corrects data of standard work time, which is a standard of the time required for the ground work using the equipment, based on the payload information acquired from the payload information storage unit;
10. The operation planning system according to claim 8, wherein the operation plan creation unit creates the operation plan by calculation incorporating data of the corrected standard working hours.
an operation cost calculation unit that calculates an operation cost including costs required for maintenance and management of the equipment and personnel costs of workers handling the equipment when operating the equipment according to the created operation plan;
a simulation unit that compares, through simulation, the cost required for maintaining and managing the equipment when the equipment is placed in each of the plurality of parking lots, and the calculated operating cost;
The operation planning system according to any one of claims 8 to 10, characterized by comprising:
A storage device that stores information used in formulating an operation plan by an operation plan planning device that formulates an operation plan for equipment used in ground operations at an airport, the storage device comprising:
Information used in creating the operation plan, including a schedule for the use of the equipment at a plurality of aprons, the scheduled time for each of the plurality of aerodromes to begin parking an aircraft and a schedule storage unit that stores a parking schedule including a scheduled time to end parking;
a schedule output unit that outputs the parking schedule;
A storage device comprising:
Payload information, which is information used in correcting standard work time data, which is the standard of the time required for the ground work by using the equipment, and is information about the amount of payload loaded on the aircraft. a payload information storage unit for storing;
a payload information output unit that outputs the payload information;
13. The storage device according to claim 12, comprising:
An information processing device that processes information on an operation plan drawn up by an operation planning device for equipment used in ground operations at an airport, the information processing device comprising:
an operation plan input section into which information on the operation plan is input;
an operation cost calculation unit that calculates an operation cost including costs required for maintenance and management of the equipment and costs required for moving the equipment when operating the equipment according to the operation plan, based on the operation plan;
a simulation unit that compares, through simulation, the cost required for maintaining and managing the equipment when the equipment is placed in each of a plurality of parking lots, and the calculated operating cost;
An information processing device comprising:
An operation planning program that causes a computer to function as an operation planning device that creates an operation plan for equipment used in ground operations at an airport, the program comprising:
Equipment information that is information on the equipment that can be used for the ground work at a plurality of aprons, and a scheduled time to start parking the aircraft and a schedule to end parking the aircraft for each of the plurality of aprons. An operation planning program that causes the computer to execute the step of creating the operation plan including schedules for the use of the equipment at the plurality of parking lots based on the parking schedule including time.