JP2020067587A - Information processing device - Google Patents

Abstract

To raise the accuracy of determining the skill of the operator of a flight vehicle.SOLUTION: An operation history acquisition unit 101 acquires as the operation history of a drone 20 by a user. A flight history acquisition unit 102 acquires the flight history of the drone 20 operated by the user. A period specification unit 103 specifies a period in which a difference between the content of operation that is estimated when it is assumed that the drone 20 has flown the route indicated by the acquired flight history exhibiting regular flight performance and the content of operation indicated by the acquired operation history is greater than or equal to a threshold, as a specific event period (there is occurrence of a specific event that makes the control of the drone 20 difficult). A skill determination unit 104 determines the skill of an operator on the basis of the acquired operation history and the specified specific event period. When determining the skill, the skill determination unit 104 reduces the weight of operation history in the specified specific event period to be smaller than the operation histories in other periods.SELECTED DRAWING: Figure 5

Description

  The present invention relates to a technique for determining the skill of an operator.

  In connection with a technique for determining the skill of an operator, in Patent Document 1, a driving proficiency level is learned based on driving information indicating a history of driving operations, and a driving assistance level updated based on the learned driving proficiency level. There is disclosed a technique for supporting driving to a degree according to.

JP, 2009-48307, A

In recent years, the number of scenes in which an aircraft such as a drone is used is increasing, and therefore, it is also necessary to determine the skill of the operator of the aircraft. For example, even in the case of setting the insurance premium for the flying object, setting the insurance premium according to the skill of the operator leads to enhancing the product competitiveness. Whatever purpose is used, it is naturally desirable that the skill determination accuracy is high.
Therefore, it is an object of the present invention to improve the accuracy of determining the skill of an operator of a flying vehicle.

  In order to achieve the above object, the present invention provides an operation history acquisition unit that acquires an operation history of a flying object by a user, a flight history acquisition unit that acquires a flight history of the flying object, and the acquired flight history. A specifying unit that specifies an event period in which the predetermined event occurs, and a determining unit that determines the skill of the user based on the acquired operation history, There is provided an information processing device comprising: a determination unit that determines the skill by reducing the weight of an operation history as compared with other operation history.

  Further, the specifying unit indicates the operation content estimated when the flight object is assumed to fly while exhibiting normal flight performance on the route indicated by the acquired flight history, and the acquired operation history indicates You may specify the period when the difference with operation content is more than a threshold value as the said event period.

  In addition, the wind speed acquisition unit that acquires wind speed information indicating the wind speed around the air vehicle is provided, and the specifying unit, the change in the wind speed per unit time by the acquired wind speed information is a threshold value or more or the wind speed is a threshold value or more. The period shown to be may be specified as the event period.

  In addition, the aircraft includes a transmission source information acquisition unit that acquires transmission source information that identifies a transmission source of the operation data that the aircraft receives, and the specifying unit is configured such that the transmission source indicated by the acquired transmission source information is A period that is different from the start of the flight may be specified as the event period.

  In addition, a defect information acquisition unit that acquires defect information indicating whether or not there is a defect in the component of the aircraft is provided, and the identification unit indicates that the component has a predetermined defect based on the acquired defect information. In this case, the period after the defect information is acquired may be specified as the event period.

  In addition, the visual field information acquisition unit that acquires visual field information indicating the state of the visual field around the flying object is provided, and the specification unit indicates that the visual field has become worse than a predetermined level due to the acquired visual field information. A period may be specified as the event period.

  In addition, the identifying unit identifies, from the acquired flight history, a recovery period from the end of the event period until the flight of the flying body reaches a state before the start of the event period, and the determination unit May increase the weight of the operation history in the identified recovery period.

  In addition, a flight route may be defined for the aircraft, and the identifying unit may identify a period from the end of the event period to the return to the flight route as the recovery period.

  The specifying unit may specify, as the recovery period, a period from the end of the event period to the return of the attitude or flight of the flying object to a stable state.

  Moreover, the determination unit may increase the weight of the operation history in the restoration period as the identified restoration period is shorter.

  ADVANTAGE OF THE INVENTION According to this invention, the determination precision of the skill of the operator of a flying body can be improved.

The figure showing an example of the whole structure of the insurance premium determination system which concerns on an Example. Diagram showing an example of the hardware configuration of each device Diagram showing an example of the hardware configuration of a drone Diagram showing an example of the hardware configuration of the radio system Diagram showing the functional configuration realized by each device Diagram showing an example of identification of a specific event period Figure showing an example of skill table Diagram showing an example of a weight table Diagram showing an example of insurance premium table The figure showing an example of the operation procedure in a judgment process. The figure showing an example of the operation procedure in a determination process. The figure showing an example of the functional structure implement | achieved in a modification. The figure showing an example of the functional structure implement | achieved in a modification. The figure showing an example of the skill table of a modification. The figure showing an example of the insurance premium table of a modification. The figure showing an example of the weight table of a modification.

[1] Example FIG. 1 shows an example of the overall configuration of an insurance premium determination system 1 according to an example. The insurance premium determination system 1 is a system that calculates an insurance premium for a flying body that is operated by a user. The insurance premium mentioned here may be insurance related to an aircraft provided by an insurance company, for example, liability insurance (insurance for human injury and damage to things) and aircraft insurance (damage of the aircraft itself, etc.). Insurance) is included.

  In the present embodiment, the insurance premium determination system 1 calculates an insurance premium for a drone that is a flying body. The insurance premium determination system 1 includes a network 2, a server device 10, a drone 20, and a radio system 30. The network 2 is a communication system including a mobile communication network, the Internet, etc., and relays data exchange between devices that access the own system.

  The server device 10 accesses the network 2 by wired communication (or wireless communication may be used), and the drone 20 and the propo 30 access by wireless communication. The drone 20 is a flying object that is covered by the insurance mentioned above. The drone 20 is used for various purposes such as photographing, monitoring, inspection, and transportation.

  In the present embodiment, the drone 20 is a rotary wing aircraft type flying body that includes one or more rotary wings and that rotates by rotating the rotary wings. Although the drone 20 can also fly autonomously along the determined flight path, in this embodiment, the drone is operated by an operator. The transmitter 30 is a device that performs proportional control (proportional control), and is used by an operator to operate the drone 20.

  The server device 10 performs various processes for determining the insurance premium for the drone 20. The server device 10 is an example of the “information processing device” in the present invention. In this embodiment, the server device 10 determines the insurance premium according to the operation history of the operator and the flight history of the drone 20. The server device 10 determines the insurance premium, for example, when the user newly takes out insurance or periodically reviews the insurance premium that has been subscribed.

  FIG. 2 shows an example of the hardware configuration of the server device 10. In FIG. 2, the hardware configuration of the server device 10 is shown. The server device 10 may be physically configured as a computer device including a processor 11, a memory 12, a storage 13, a communication device 14, a bus 15, and the like. In the following description, the word "device" can be read as a circuit, a device, a unit, or the like.

  Also, each device may include one or more devices, or may not include some devices. The processor 11 operates, for example, an operating system to control the entire computer. The processor 11 may be configured by a central processing unit (CPU) including an interface with peripheral devices, a control device, a calculation device, a register, and the like.

  For example, the baseband signal processing unit and the like may be realized by the processor 11. Further, the processor 11 reads a program (program code), a software module, data, and the like from at least one of the storage 13 and the communication device 14 into the memory 12, and executes various processes according to these. As the program, a program that causes a computer to execute at least part of the operations described in the above-described embodiments is used.

  Although it has been described that the various processes described above are executed by one processor 11, they may be executed simultaneously or sequentially by two or more processors 11. The processor 11 may be implemented by one or more chips. The program may be transmitted from the network via an electric communication line. The memory 12 is a computer-readable recording medium.

  The memory 12 may be configured by at least one of a ROM (Read Only Memory), an EPROM (Erasable Programmable ROM), an EEPROM (Electrically Erasable Programmable ROM), a RAM (Random Access Memory), and the like. The memory 12 may be called a register, a cache, a main memory (main storage device), or the like. The memory 12 can store a program (program code) that can be executed to implement the wireless communication method according to the embodiment of the present disclosure, a software module, and the like.

  The storage 13 is a computer-readable recording medium, for example, an optical disc such as a CD-ROM (Compact Disc ROM), a hard disk drive, a flexible disc, a magneto-optical disc (for example, a compact disc, a digital versatile disc, a Blu-ray disc). At least one of a (registered trademark) disk, a smart card, a flash memory (for example, a card, a stick, and a key drive), a floppy (registered trademark) disk, a magnetic strip, or the like.

  The storage 13 may be called an auxiliary storage device. The above-mentioned storage medium may be, for example, a database including at least one of the memory 12 and the storage 13, a server, or another appropriate medium. The communication device 14 is hardware (transmission / reception device) for performing communication between computers via at least one of a wired network and a wireless network.

  The communication device 14 is also called, for example, a network device, a network controller, a network card, a communication module, or the like. The communication device 14 includes a high frequency switch, a duplexer, a filter, a frequency synthesizer, and the like in order to realize at least one of, for example, frequency division duplex (FDD: Frequency Division Duplex) and time division duplex (TDD). May be composed of

  For example, the transmission / reception antenna, the amplifier unit, the transmission / reception unit, the transmission line interface, and the like described above may be realized by the communication device 14. The transmitter / receiver may be implemented by physically or logically separating the transmitter and the receiver. Further, each device such as the processor 11 and the memory 12 is connected by a bus 15 for communicating information. The bus 15 may be configured by using a single bus, or may be configured by using a different bus for each device.

  FIG. 3 shows an example of the hardware configuration of the drone 20. The drone 20 is physically a computer including a processor 21, a memory 22, a storage 23, a communication device 24, a flight device 25, a sensor device 26, a battery 27, a camera 28, a bus 29, and the like. It may be configured as a device. Among these, the hardware having the same name as that shown in FIG. 2 is the same type of hardware as those having different performances and specifications.

  The communication device 24 has a function (for example, a wireless communication function using radio waves in the 2.4 GHz band) of performing communication with the transmitter 30 in addition to communication with the network 2. The flying device 25 is a device that includes a motor, a rotor, and the like, and causes the own device to fly. The flying device 25 can move itself in all directions or keep itself stationary (hovering) in the air.

  The sensor device 26 is a device having a sensor group that acquires information necessary for flight control. The sensor device 26 is, for example, a position sensor that measures the position (latitude and longitude) of the own device, and the direction in which the own device is facing (the front direction of the own device is set for the drone, and the front direction is The direction sensor for measuring the altitude) and the altitude sensor for measuring the altitude of the aircraft.

  Further, the sensor device 26 includes a speed sensor that measures the speed of the own device and an inertial measurement sensor (IMU (Inertial Measurement Unit)) that measures the triaxial angular velocity and the acceleration in three directions. The battery 27 is a device that stores electric power and supplies the electric power to each unit of the drone 20. The camera 28 includes an image sensor, optical system components, and the like, and takes an image of an object in the direction in which the lens faces.

  FIG. 4 shows an example of the hardware configuration of the transmitter 30. The transmitter 30 may be physically configured as a computer device including a processor 31, a memory 32, a storage 33, a communication device 34, an input device 35, an output device 36, a bus 37 and the like. Among these, the hardware having the same name as that shown in FIG. 2 is the same type of hardware as those having different performances and specifications.

  The input device 35 is an input device (for example, a switch, a button, a sensor, etc.) that receives an input from the outside. In particular, the input device 35 includes a left stick 351 and a right stick 352, and accepts operations on these sticks as movement operations of the drone 20 in the front-rear direction, the up-down direction, the left-right direction, and the rotation direction. The output device 36 is an output device (for example, a monitor 361, a speaker, an LED (Light Emitting Diode) lamp, or the like) that outputs to the outside. The input device 35 and the output device 36 may be integrated (for example, the monitor 361 is a touch screen).

  In addition, each of the above devices includes hardware such as a microprocessor, a digital signal processor (DSP), an ASIC (Application Specific Integrated Circuit), a PLD (Programmable Logic Device), and an FPGA (Field Programmable Gate Array). May be composed of Further, in each of the above devices, some or all of the functional blocks may be realized by the hardware. For example, the processor 11 may be implemented using at least one of these hardware.

  Each function of each device included in the insurance premium determination system 1 causes a predetermined software (program) to be loaded onto hardware such as a processor and a memory, so that the processor performs calculation and communication by each communication device is performed. It is realized by controlling or at least one of reading and writing of data in the memory and the storage.

  FIG. 5 shows a functional configuration realized by each device. The server device 10 includes an operation history acquisition unit 101, a flight history acquisition unit 102, a period identification unit 103, a skill determination unit 104, an insurance premium determination unit 105, and an insurance premium output unit 106. The drone 20 includes an operation control unit 201, a sensor measurement unit 202, and a flight history notification unit 203. The transmitter 30 includes an operation reception unit 301, an operation instruction unit 302, and an operation history notification unit 303.

  The operation reception unit 301 of the transmitter 30 receives an operation performed by the operator on the drone 20. The operation performed on the drone 20 is, for example, an operation of moving (tilting) the left stick 351 and the right stick 352, respectively. The operation of moving each stick is associated with the basic movement operations of ascending, descending, advancing, retracting, moving to the right, moving to the left, turning to the right, and turning to the left.

  In addition, the operation reception unit 301 also receives operations such as automatic takeoff, automatic return, and automatic tracking that cause the drone 20 to automatically perform a predetermined flight and an operation of photographing using the camera 28. The operation reception unit 301 supplies operation data indicating the received operation content to the operation instruction unit 302 and the operation history notification unit 303. The operation contents are the type of the operated operator (stick or button, etc.), the amount of operation (the amount of stick movement, etc.), the speed of operation (speed of stick movement, etc.), and the direction of operation (direction of stick movement). Etc.) etc.

  The operation instruction unit 302 instructs the drone 20 to perform an operation according to the operation content indicated by the supplied operation data. The operation instruction unit 302 generates operation instruction data indicating an operation instruction and a user ID (Identification) that identifies a user who is an operator, and transmits the operation instruction data to the drone 20 to instruct an operation according to the operation content. . It is assumed that this user ID is stored in advance in the transmitter 30 by an input from the user using the input device 35 of the transmitter 30 or an input from an external device.

  When the operation control unit 201 of the drone 20 receives the transmitted operation instruction data, the operation control unit 201 controls each unit of its own device to perform the operation indicated by the operation instruction data. The operation control unit 201 requests the sensor measurement unit 202 for the measurement result of the sensor in order to control each unit. The sensor measurement unit 202 performs measurement using each sensor (position sensor, direction sensor, altitude sensor, speed sensor, inertial measurement sensor) included in the sensor device 26 illustrated in FIG. 3.

  The sensor measurement unit 202 repeatedly measures the position, direction, altitude, speed, angular velocity, and acceleration of the own device by each sensor at predetermined time intervals, and supplies the measurement results to the operation control unit 201 and flight history notification unit 203. To do. The operation control unit 201 controls each unit of the own machine based on the supplied measurement result to fly the own machine.

  The operation history notification unit 303 of the transmitter 30 includes an operation content indicated by the operation data supplied from the operation reception unit 301, an operation time (for example, current time) when the operation is performed, and a user ID of a user who performs the operation. The operation history data indicating is generated. The operation history notification unit 303 notifies the server device 10 of the operation history (operation content and operation time) by transmitting the generated operation history data to the server device 10.

  The operation history acquisition unit 101 of the server device 10 operates the operation history of the drone 20 by the user identified by the user ID indicated by the operation history data regarding the operation history (operation content and operation time) indicated by the transmitted operation history data. To get as. The operation history acquisition unit 101 is an example of the “operation history acquisition unit” in the present invention. The operation history acquisition unit 101 stores the acquired operation history in association with the user ID.

  The operation control unit 201 of the drone 20 supplies the flight history notification unit 203 with the user ID indicated by the received operation instruction data. The flight history notification unit 203 notifies the server device 10 of the flight history of the own device based on the measurement result supplied from the sensor measurement unit 202. In the present embodiment, the flight history notification unit 203 flies the flight path that the drone 20 has passed during flight, the time (passing time) at which each position on the flight path has passed, and the flight speed at those positions. Notify as history.

  Among them, the flight path and the flight speed are indicated by the position, altitude, and speed indicated by the measurement result. Every time the measurement result is supplied, the flight history notification unit 203 outputs the measurement result indicating the flight route and the flight speed, the passing time (for example, the current time), and the user ID supplied from the operation control unit 201. The flight history data shown is generated. The flight history notification unit 203 transmits the generated flight history data to the server device 10.

  When the flight history acquisition unit 102 of the server device 10 receives the transmitted flight history data, it is operated by the flight history of the drone 20 indicated by the flight history data, that is, the user with the user ID indicated by the flight history data. Obtain the flight history of the drone 20. The flight history acquisition unit 102 is an example of the “flight history acquisition unit” in the present invention. The flight history acquisition unit 102 stores the acquired flight history in association with the user ID.

  The period identifying unit 103 of the server device 10 identifies a specific event period in which a predetermined specific event occurs from the flight history acquired by the flight history acquiring unit 102. The specific event period is an example of the “event period” in the present invention, and the period specifying unit 103 is an example of the “specification unit” in the present invention. The specific event is, for example, a strong wind, a gust of wind, a cross-link, a component failure, or the like. All of these events are considered to make control of the drone 20 difficult. These events include an event in which it is inevitable that the drone 20 is temporarily out of control even if the skill of the operator is high.

  In this embodiment, the period identifying unit 103 identifies the specific event period based on the operation history acquired by the operation history acquiring unit 101 and the flight history acquired by the flight history acquiring unit 102. Specifically, the period identifying unit 103 indicates the operation content estimated when the drone 20 is assumed to fly the route indicated by the acquired flight history with normal flight performance and the acquired operation history. A period in which the difference from the operation content shown is a threshold value or more is specified as the specific event period.

  When the drone 20 flies while exhibiting normal flight performance, the performance related to flight such as the horizontal flight speed performance, the ascent speed performance, the descent speed performance, the acceleration performance, the turning performance, and the attitude maintenance performance of the drone 20 is a component. It is a situation where it can be exhibited normally without being affected by malfunctions, etc., and it is capable of flying without being affected by weather conditions that tend to affect flight such as wind, rain, snow, high temperature and low temperature. Means

  Assuming that the aircraft flies in these situations means, for example, if an operation to make a straight flight at a speed of 30 km / h is performed, the drone 20 also makes a straight flight at a speed of 30 km / h, and an operation to make a right turn of 90 degrees is performed. It is assumed that the tara drone 20 also turns 90 degrees to the right. Therefore, when an operation to make a straight horizontal flight at a speed of 30 km / h is performed, if the motor output is normal, but only 20 km / h is output due to head wind, normal flight performance is demonstrated. I can't say that

Since estimating the flight route from the operation contents based on the above assumption is performed in a drone simulator or the like, the period specifying unit 103 uses the technique used in those simulators or the like to reversely determine the flight route from the flight route. Estimate the operation content.
FIG. 6 shows an example of specifying a specific event period. FIG. 6A shows a flight route R1 when the drone 20 plans a rectangular flight route in the order of eastward, southward, westward, and northward and actually flies.

  In the flight route R1, the drone 20 first fly southward (route RT1 in the flight period T1), then turn westward and fly (routes RT2, RT3 in flight periods T2, T3), then northward. To fly (routes RT4, RT5 in flight periods T4, T5). The drone 20 stops the movement in the east direction by repeatedly performing the operation of moving in the west direction because the aircraft was swept in the east direction by the gusts during the flight in the north direction (route RT6 in the flight period T6).

  The drone 20 flies westward little by little (route RT7 in the flight period T7), and returns to the originally planned flight route. When the drone 20 returns to the planned flight route, it flies northward again (route RT8 in flight period T8), and finally turns eastward to fly (routes RT9, RT10 in flight periods T9, T10). ), Back to the starting point.

  FIG. 6B shows the operation content (estimated operation content) estimated as described above when flying on the flight route R1. The estimated operation content is forward forward movement (forward movement in the front direction) in the flight periods T1, T3, and T5, and 90-degree right turn in the flight periods T2 and T4. Further, the estimated operation content is diagonally forward to the right in the flight period T6 because the aircraft is swung eastward without turning, and is diagonally to the left in the flight period T7 because it is returning to the west. .

  The estimated operation contents are frontward forward, turn 90 degrees rightward, and frontward forward as in the past during the flight periods T8, T9, and T10. On the other hand, FIG. 6C shows the actual operation contents when flying on the flight route R1. This actual operation content is the same as the estimated operation content, except that in the flight periods T6 and T7 in which the aircraft returns to the original route after being blown off by a gust of wind, “frontward advance” and “left and right cutback × 10” are set. Has become.

  Here, the operation content of the radio 30 will be described. In this embodiment, for example, tilting the left stick 351 in the front-rear direction also moves the aircraft in the front-rear direction (elevator), and tilting the right stick 352 in the left-right direction also moves the aircraft in the left-right direction (aileron) and the left stick. It is assumed that the 351 is turned to the left and right (ladder) by tilting the 351 to the left and right. In that case, the frontward advance is performed by tilting only the left stick 351 forward.

  Further, by tilting the right stick 352 to the left and right while tilting the left stick 351 forward, an oblique forward movement is performed. Further, the right stick 352 is tilted to the left and right, and then immediately returned (the right stick 352 may be tilted to the opposite side as it is, or may be stopped at the center position), whereby turning back to the left and right is performed. The period identifying unit 103 calculates, for example, a difference in the operation amount of each stick, a difference in the operation speed, and a difference in the number of times the operation direction is changed (the number of times of switching back), as the difference in the operation content.

  Since the drone 20 continues to move forward during the flight periods T6 and T7, there is no difference in the estimated operation content and the actual operation content with respect to the operation amount, the operation speed, and the number of times of turning back with respect to the left stick 351. On the other hand, since the movement in the left-right direction (east-west direction) is small, the operation amount, the operation speed, and the number of times of switching back in the estimated operation content are small. However, in the actual operation content, in order to cope with a gust of wind, switching back and forth to the left and right is performed 10 times. Therefore, not only the number of times of switching back, but also the operation amount is increased and the operation speed is increased.

  As a result, it is assumed that the difference between the operation contents in the flight periods T6 and T7 is equal to or more than the threshold value. In this case, the period specifying unit 103 specifies the flight periods T6 and T7 as the specific event period. Even if there is a flight period in which the operation content is different, if the difference in the operation amount in the flight period is less than the threshold value, the period specifying unit 103 does not indicate the difference caused by the specific event, but the measurement error of the breeze or the sensor. It is determined that the difference is caused by the above, and the period is not specified as the specific event period.

  The period specifying unit 103 specifies the specific event period each time the flight history is acquired by the flight history acquisition unit 102, for example. When the specific event period is specified, the period specifying unit 103 corresponds the period information indicating the specified specific event period (for example, information indicating the start time and end time of the period) to the flight history and the user ID used for the specification. Attach and memorize. These pieces of information stored by the period identifying unit 103 are read by the skill determining unit 104.

  The skill determining unit 104 determines the skill of the operator based on the operation history acquired by the operation history acquiring unit 101 and the specific event period specified by the period specifying unit 103. The skill determination unit 104 is an example of the “determination unit” in the present invention. The skill of the operator here is the skill of operating the drone to fly, and the higher the skill is, the more the drone can fly as intended by the operator.

  The skill determination unit 104, for example, periodically determines the skill of each user. The skill determination unit 104 first reads an operation history having a common user ID from the operation history stored in the operation history acquisition unit 101, and a specific event associated with the user ID stored in the period identification unit 103. Read the period. In the present embodiment, the skill determination unit 104 determines the skill based on the amount of operation on the left stick 351 and the right stick 352, the operation speed, and the number of switching operations.

  The operation amount is an amount of moving each stick, and is represented by, for example, an angle of moving each stick. The operation speed is a speed at which each stick is moved, and is represented by, for example, a value obtained by dividing an angle at which each stick is moved by a time at which the stick is moved. The number of switching operations is the number of operations of reversing the moving direction of each stick. The higher the skill of the operator, the smaller the operation amount, the operation speed, and the number of times of the switching operation are likely to be.

  However, since the amount of operation and the number of switching operations increase as the flight time increases, it is desirable to calculate and compare the values per unit time. Therefore, the skill determination unit 104 determines that the larger the average value of the operation amount (the operation amount per unit time), the average value of the operation speed, and the average value of the number of times of the turning back operation (the number of times of the turning back operation per unit time), the higher the skill. Judge as low. The skill determination unit 104 makes a determination using a skill table in which these pieces of information are associated with skill points (the larger the value, the higher the skill).

  FIG. 7 shows an example of the skill table. In FIG. 7A, the skill values of “3”, “2”, and “1” are associated with the average values of the operation amounts of “less than Th11”, “greater than Th11 and less than Th12”, and “greater than or equal to Th12”, respectively. ing. In FIG. 7B, the skill points of “3”, “2”, and “1” are associated with the average values of the operation speeds of “less than Th21”, “th21 or more and less than Th22”, and “th22 or more”, respectively. ing.

  In FIG. 7C, the skill points of “3”, “2”, and “1” are associated with the average values of the number of turning-back operations of “Th31 or less”, “Th31 or more and Th32 or less”, and “Th32 or more”, respectively. Has been. The skill determination unit 104 calculates the average value of the operation amount, the average value of the operation speed, and the average value of the number of switching operations from the operation history of the user. The skill determination unit 104 weights the value calculated based on the operation history in the normal period, which is not the specific event period, more than the value calculated based on the operation history in the specific event period.

  To give a weight to a value (also referred to as “weighting”) means to increase the influence on the calculation result more than other values when the calculation using the value is performed. In the present embodiment, the calculation result (the average value of the operation amount) is obtained when the value calculated based on the operation history in the normal period is increased by the same value X as compared with the value calculated based on the operation history in the specific event period. Etc.) will vary greatly. The skill determination unit 104 performs this weighting using a weight table that associates the weighting factors in the normal period and the specific event period.

  FIG. 8 shows an example of the weight table. In the example of FIG. 8, the weighting factor for the normal period is “1.0” and the weighting factor for the specific event period is “0.1”. The skill determination unit 104 calculates the average value of the operation amount and the average value of the number of switching operations by dividing the total of the operation amount and the number of switching operations indicated by the operation history by the operation time indicated by the operation history, for example. . At that time, the skill level determination unit 104 reflects the above weighting by multiplying “0.1” by the operation amount and the number of times of the switching operation in the specific event period and then adding them up.

  Further, with respect to the operation speed indicated by the operation history (history remains only when the operation is performed), the skill determination unit 104 takes an average value, for example, assuming that the operation speed in the normal period has a tenfold parameter. By calculating, the above weighting is reflected. For example, when the operation speed in the normal period is v1 and the operation speed in the specific event period is v2, the skill determination unit 104 calculates (v1 × 10 + v2) / 11 = average speed. The skill determination unit 104 may conversely calculate the average value by reducing the parameter of the operation speed during the specific event period to 1/10 ((v1 + v2 / 10) ÷ 1.1 = average speed).

  The skill determination unit 104 totals skill points associated with the respective values calculated as described above. Since the value of the specific event period is treated as having only one tenth the weight of the value of the normal period by the weighting factor shown in FIG. 8, the average value of the operation amount and the average operation speed that tend to be large during the specific event period. The value and the average value of the number of turning-back operations are reduced, and the skill point is increased (the skill is determined to be high).

  Note that the weighting factors shown in FIG. 8 are examples, and weighting factors other than these may be used. However, in any case, the weighting factor for the specific event period may be smaller than the weighting factor for the normal period. In any case, the skill determination unit 104 determines the skill by reducing the weight of the operation history in the specific event period identified by the period identification unit 103 as compared with the operation history in another period (normal period). Become.

  The skill determination unit 104 determines that the skill is higher as the total skill points (in the example of FIG. 7, the values are 3 to 9). The skill determination unit 104 stores the calculated skill points in association with the user ID. The information stored in the skill determination unit 104 is read by the insurance premium determination unit 105.

  The insurance premium determination unit 105 determines the insurance premium of the drone 20 operated by the user based on the skill of the user determined by the skill determination unit 104. The insurance premium determination unit 105 specifically determines a smaller amount as the insurance premium of the drone 20 as the skill of the determined user is higher. The insurance premium determination unit 105 determines the insurance premium by using, for example, an insurance premium table in which the skill of the user and the multiplication rate for the standard insurance premium are associated with each other.

  FIG. 9 shows an example of the insurance premium table. In the example of FIG. 9, the user skill points “3, 4”, “5-7” and “8, 9” are multiplied by “1.0”, “0.9” and “0.8”. Are associated with. For example, when calculating the insurance premium of a certain user, the insurance premium determination unit 105 reads out the skill point associated with the user ID of the user from the skill determination unit 104. The insurance premium determination unit 105 determines the insurance premium for the user to be the amount obtained by multiplying the insurance premium serving as a reference by the multiplication rate associated with the read skill point.

  For example, if the skill point of the user is “5”, the insurance premium determination unit 105 determines the amount of money that is 0.9 times the standard insurance premium as the drone insurance premium for the user. If the skill point of the user is “8”, the insurance premium determination unit 105 determines the amount of money that is 0.8 times the standard insurance premium as the drone insurance premium for the user. The insurance premium determination unit 105 notifies the insurance premium output unit 106 of the determined insurance premium.

  The insurance premium output unit 106 outputs the notified insurance premium to a predetermined display device or an external device. For example, if there is a system that presents the insurance premium to the user when the insurance contract is renewed, the insurance premium output unit 106 outputs the insurance premium to the system. Each device included in the insurance premium determination system 1 performs a determination process of determining the skill of the drone for each user based on the above configuration, and a determination process of determining the insurance premium based on the determination result.

  FIG. 10 shows an example of an operation procedure in the determination processing. This operation procedure is started when the user starts the flight operation of the drone 20. First, the transmitter 30 (operation accepting unit 301) accepts an operation performed by the operator on the drone 20 (step S11). Then, the propo 30 (the operation instruction unit 302) generates operation instruction data for instructing the drone 20 to perform an operation according to the content of the accepted operation (step S12), and the generated operation instruction data is used by the drone 20. (Step S13).

  The drone 20 (sensor measurement unit 202) repeatedly performs measurement by each sensor included in the drone 20 (step S14). Next, the drone 20 (operation control unit 201) controls each unit of its own device so as to perform the operation indicated by the operation instruction data received in Step S13, based on the measurement result in Step S14 (Step S15). Then, the drone 20 (flight history notification unit 203) generates flight history data indicating the flight history of the own aircraft based on the measurement result of step S14 (step S16) and transmits it to the server device 10 (step S17). .

  The server device 10 (flight history acquisition unit 102) acquires the flight history of the drone 20 indicated by the transmitted flight history data (step S18). The transmitter 30 (operation history notification unit 303) generates operation history data indicating the operation content, operation time and user ID accepted in step S11 (step S21), and transmits the operation history data to the server device 10 (step S22). The operations of steps S21 and S22 may be performed before the operations of steps S12 to S18, or may be performed in parallel with those operations.

  The server device 10 (operation history acquisition unit 101) acquires the operation history indicated by the transmitted operation history data (step S23). Next, the server device 10 (period specifying unit 103) specifies the above-described specific event period (a period during which a specific event that makes it difficult to control the drone 20 occurs) from the flight history acquired in step S18 ( Step S24). Then, the (skill determination unit 104) determines the skill of the operator based on the flight history acquired in step S18, the operation history acquired in step S23, and the specific event period specified in step S24. (Step S25).

  FIG. 11 shows an example of an operation procedure in the determination processing. This operation procedure is started, for example, when an insurance company system or the like requests an insurance premium for the user. First, the server device 10 (insurance premium determination unit 105) determines a user for whom an insurance premium is requested as a target user (a user who determines an insurance premium) (step S31), and the skill of the user (the present embodiment). Then, the skill point) is read (step S32).

  Next, the server device 10 (insurance premium determination unit 105) determines the insurance premium based on the read skill (step S33). Then, the server device 10 (insurance premium output unit 106) outputs the insurance premium determined in step S33 to a predetermined system or the like (step S34). The server device 10 performs this operation procedure each time an insurance premium is requested, and outputs the requested user's insurance premium.

  In this embodiment, as described above, the skill is determined by making the weight of the operation history in the specific event period smaller than that of the other operation history. During the specific event period, for example, a gust of wind may cause the flight position to flow or the balance to be lost, so that more operations than usual are likely to be performed in order to return to a normal flight state. In that case, if the weighting is not performed, even a user having a high skill is determined to have a low skill because of the operation in the specific event period.

  In the present embodiment, the weight of the operation that is unavoidably performed in such a specific event period becomes small, so that the accuracy of the determination of the skill of the drone operator is improved as compared with the case where the weighting is not performed (the original skill. It is possible to determine a skill closer to. In addition, in the present embodiment, only the operation history and the flight history are used when the specific event period is specified, so that it is possible to eliminate the need for information other than those for specifying the specific event period.

[2] Modified Example The above-described embodiment is merely an example of the implementation of the present invention, and may be modified as follows. Further, the embodiment and each modification may be combined as needed. In that case, each modified example may be prioritized (if each modified example is implemented, a priority is determined when a conflicting event occurs).

  Further, as a specific combination method, for example, modification examples in which different parameters are used to obtain a common value (for example, insurance premium) may be combined, and a common value or the like may be obtained by using those parameters together. Further, the values or the like obtained individually may be summed according to some rule to obtain a single value or the like. Further, in those cases, different weighting may be performed for each parameter used.

[2-1] Wind Information The period specifying unit 103 may specify the specific event period by a method different from that of the embodiment.
FIG. 12 shows an example of a functional configuration realized in this modification. In FIG. 12, the server device 10a including the wind speed information acquisition unit 107 in addition to the units illustrated in FIG. 5 is illustrated. The wind speed information acquisition unit 107 acquires wind speed information indicating the wind speed around the drone 20. The wind speed information acquisition unit 107 is an example of the “wind speed acquisition unit” in the present invention.

  In this modification, for example, when the flight history acquisition unit 102 stores the flight history and the user ID (user ID of the operator), the flight history and the user ID are supplied to the wind speed information acquisition unit 107. The wind speed information acquisition unit 107 acquires the weather information in the area including the flyable airspace indicated by the supplied flight history from the system of a provider such as a weather forecast service, and acquires the wind speed information included in the weather information.

  The acquired wind speed information is preferably as short as possible (about 1 to 5 minutes) and narrow in the target area. The wind speed information acquisition unit 107 stores the acquired wind speed information in association with the acquired time (the time when the wind at that wind speed blows) and the supplied user ID. The period specifying unit 103 specifies the specific event period each time the wind speed information acquiring unit 107 acquires wind speed information, for example.

  The period specifying unit 103 specifies, as the specific event period, a period in which the wind speed information acquired by the wind speed information acquiring unit 107 indicates that the wind speed is equal to or higher than the threshold value (that is, strong wind). As the threshold value in this case, a wind speed that makes it difficult for a user with high skill to fly the drone is used, and for example, a value of about 10 m / s is used. Even if the wind is weak at the start of the flight, a strong wind may occur from the middle. In this case, even a user with a high skill tends to have a large amount of operation, an operation speed, and the number of times of switching back, and the skill to be judged tends to be low.

  In this modification, since the weight of the operation history in a strong wind is small, it is possible to prevent the skill of the operator who is forced to fly the drone in a strong wind from being determined to be lower than the original skill. Further, the operator of the drone 20 can measure more detailed wind speed in the flight airspace by using the anemometer. Therefore, the wind speed information acquisition unit 107 may acquire the wind speed information measured by an anemometer having a function of transmitting the measured wind speed information in real time.

  In that case, the period identifying unit 103 may identify the period in which the change in the wind speed per unit time is equal to or more than the threshold value (that is, gust) by the wind speed information acquired by the wind speed information acquiring unit 107 as the specific event period. Good. Even when a gust blows, the skill to be judged is likely to be low as in the case of a strong wind. By specifying the period when the gust blows as the specific event period as described above, it is possible to prevent the skill of the operator from being determined to be lower than the original skill when the gust blows during the flight of the drone.

[2-2] Crossed-line drone may operate by mistakenly receiving a propo signal used by another operator (so-called crossed line). The period specifying unit 103 may specify the period in which the crosstalk occurs as the specific event period. In this modification, the operation instructing unit 302 of the transmitter 30 transmits to the drone 20 operation instruction data indicating a transmitter ID for identifying the own device.

  Then, the flight history notification unit 203 of the drone 20 transmits the flight history data indicating the propo ID indicated by the received operation instruction data to the server device 10. The flight history acquisition unit 102 of the server device 10 acquires the propo ID as the transmission source information for identifying the transmission source of the operation data (operation instruction data) received by the drone 20. The flight history acquisition unit 102 of this modified example is an example of the “transmission source information acquisition unit” of the present invention.

  The period identifying unit 103 identifies, as the specific event period, a period in which the transmission source indicated by the transmission source information (prop ID) acquired by the flight history acquisition unit 102 is different from that at the start of the flight. The fact that the transmission source is different from that at the start of flight means that an operator (third party) different from the operator who started the flight operates the drone 20 by cross-linking. If the operation history by such a third party is included, it may be determined that the skill is different from the original skill of the operator, regardless of whether the skill of the third party is high or low.

  Therefore, in the present modified example, the smaller the weighting factor in the specific event period, the better, and more preferably, it is set to "0". In this way, by reducing the weight of the operation history at the time of cross-linking, it is possible to prevent the determined skill from changing (being lower or higher than the original skill) due to the operation history of a third party. it can.

[2-3] Occurrence of Defect When a defect occurs in the drone, the operation amount may increase regardless of the skill of the operator. Therefore, the period identifying unit 103 may identify the period after the malfunction of the drone as the specific event period. In this modification, it is assumed that the sensor device 26 of the drone 20 includes a sensor (defect detection sensor) that detects a defect in a component.

  As the defect detection sensor, for example, a temperature sensor for detecting an abnormally high temperature, a rotation speed sensor for detecting an abnormal rotation of a motor, a disconnection detection sensor for detecting a disconnection, or the like is used. The flight history notification unit 203 of the drone 20 transmits flight history data indicating the measurement results of the defect detection sensors to the server device 10. The flight history acquisition unit 102 of the server device 10 acquires the measurement result indicated by the received flight history data as defect information indicating the presence / absence of a defect in the component of the drone 20.

  The flight history acquisition unit 102 of this modified example is an example of the “defect information acquisition unit” of the present invention. When the defect information acquired by the flight history acquisition unit 102 indicates that the component of the drone 20 has a predetermined defect, the period specifying unit 103 sets the period after the defect information is acquired as the specific event period. Identify. The predetermined malfunction is, for example, a malfunction in which a part of the plurality of motors stops rotating, and a malfunction in which a wire connected to a part of the sensor included in the sensor device 26 is disconnected.

  Further, a predetermined defect may include a defect that the temperature of the space in which the circuit is provided exceeds a threshold value and the circuit does not operate normally. Even if any of the problems occurs, normal operation does not fly as intended, and therefore it is necessary to frequently correct the attitude and flight path. As a result, even if the skill is high, the operation amount and the like are large, and thus the skill to be determined is low. In this modification, the weight of the operation history after the occurrence of the problem becomes small, so that it is possible to prevent the skill of the operator when the problem occurs in the drone from being determined to be lower than the original skill.

[2-4] Deterioration of visibility The visibility may deteriorate during the flight of the drone due to rain or fog. When the visibility deteriorates, it becomes difficult for the operator to see the drone, and it becomes difficult to grasp the direction, tilt, speed, and the like of the drone. Therefore, the operation amount tends to increase regardless of the skill of the operator. Therefore, the period specifying unit 103 may specify a period in which the visibility of the drone's flight airspace deteriorates as the specific event period.

  FIG. 13 shows an example of a functional configuration realized in this modification. In FIG. 13, a server device 10b including a visibility information acquisition unit 108 in addition to the units illustrated in FIG. 5 is illustrated. The visual field information acquisition unit 108 acquires visual field information indicating the state of the visual field around the drone 20. The visual field information acquisition unit 108 is an example of the “visual field information acquisition unit” in the present invention. In this modification, for example, when the flight history acquisition unit 102 stores the flight history and the user ID (user ID of the operator), the flight history and the user ID are supplied to the visibility information acquisition unit 108.

  The visibility information acquisition unit 108 acquires the weather information in the area including the flyable airspace indicated by the supplied flight history from the system of a provider such as a weather forecast service, and the precipitation information and the fog information included in the weather information ( Information such as the area where the dense fog warning is issued) is acquired as the visibility information. Further, the operator may use a fog sensor (a sensor that irradiates laser light to measure a distance that can be seen in the horizontal direction) to measure the situation of fog at the site.

  In that case, the visibility information acquisition unit 108 acquires the viewable distance measured by the fog sensor as the visibility information. The field-of-view information acquisition unit 108 stores the acquired field-of-view information in association with the time of acquisition (the time of the field of view indicated by the field-of-view information) and the supplied user ID. The period specifying unit 103 specifies the specific event period each time the visibility information acquisition unit 108 acquires the visibility information, for example.

  The period identifying unit 103 identifies, as the specific event period, a period indicating that the visibility is worse than a predetermined level based on the visibility information acquired by the visibility information acquisition unit 108. For example, when the precipitation amount information is acquired as the visibility information, the period specifying unit 103 determines that the visibility becomes worse than a predetermined level when the precipitation amount is equal to or more than a threshold value (for example, 10 mm).

  In addition, when the fog information is acquired as the visibility information, the period specifying unit 103 has a visibility higher than a predetermined level when the area where the dense fog warning indicated by the fog information includes the flight airspace. Judge that it got worse. Further, when the viewable distance is acquired as the visual field information, the period identifying unit 103 determines that the visual field becomes worse than a predetermined level when the distance is less than a threshold value (for example, 50 m).

  Even if the visibility is good at the start of flight, the visibility may deteriorate from the middle. In this case, even a user with a high skill tends to have a large amount of operation, an operation speed, and the number of times of switching back, and the skill to be judged tends to be low. In this modification, since the weight of the operation history when the visibility deteriorates becomes small, the skill of the operator who is forced to fly the drone in the bad visibility is determined to be lower than the original skill. Can be prevented.

[2-5] Restoration of Flight State When the above-mentioned specific event occurs, the drone temporarily loses the flight state intended by the operator. Therefore, the operator restores the flight state intended by the operator again. Try to. The intended flight state is, for example, that the flight route of the drone 20 (the flight route around the imaging target, the flight route around the inspection target, the flight route around the monitoring target, etc.) is determined, and the flight route is returned to that flight route. It is in a state of flying.

  In this modification, the period identifying unit 103 recovers from the flight history acquired by the flight history obtaining unit 102 from the end of the specific event period until the flight of the drone 20 is in the state before the start of the specific event period. Identify the time period. Specifically, the period identifying unit 103 identifies the period from the end of the identified specific event period to the return to the determined flight route as the recovery period.

  In the present modification, for example, the flight route in which the propo 30 is defined is stored, and the operation history data indicating the flight route is transmitted together with the operation history. The operation history acquisition unit 101 acquires the flight route together with the operation history. The period identifying unit 103 reads the flight route from the operation history acquiring unit 101, and sets the period from the time when the identified specific event period ends to the time when the user starts flying the position on the read flight route as the recovery period. Identify.

  The method of obtaining the flight route is not limited to the above method. For example, it may be acquired together with the flight history, or may be acquired separately from the flight history and the operation history, for example, transmitted from the user's personal computer or the like to the server device 10. The period identifying unit 103 stores the period information indicating the identified recovery period in association with the user ID. The skill determination unit 104 reads out the period information associated with the user ID of the user whose skill is to be determined.

  The skill determining unit 104 determines the skill of the operator by increasing the weight of the operation history in the recovery period specified by the period specifying unit 103. For example, the restoration period is usually a shorter period than other periods (the period including the normal period and the specific event period), but in the present modification, the value in the restoration period is equal to the value in the other period. By handling (assuming that the recovery period and other periods have the same length), the weight of the operation history in the recovery period is increased.

  FIG. 14 shows an example of the skill table of this modification. In FIG. 14A, the average value of the manipulated variables “Less than Th11”, “Th11 or more and less than Th12”, and “Th12 or more” has skill points “3”, “2”, and “1” for other periods. The skill points of "5", "3", and "1" are respectively associated with the recovery period.

  Also in the average value of the operation speed (FIG. 14B) and the average value of the number of switching operations (FIG. 14C), “3”, “2” and “1” in other periods, the recovery period is “ The skill points of "5", "3" and "1" are associated with each other. From the operation history of the user, the skill determination unit 104 calculates the average value of the operation amount, the average value of the operation speed, the average value of the number of turning-back operations in the other periods, and those values in the recovery period, respectively.

  For example, if it is the average value of the operation amount, the skill determination unit 104 determines the average value of the skill point associated with the value calculated for the other period and the skill point associated with the value calculated for the recovery period. Calculate as For example, if both the other period and the recovery period are “less than Th11”, the skill determination unit 104 calculates “4”, which is the average value of “3” and “5”, as the skill point.

  If the other period is “less than Th11” but the recovery period is “Th12 or more”, the skill determination unit 104 calculates “2” which is the average value of “3” and “1” as the skill point. The skill determination unit 104 similarly calculates the skill points for the operation speed and the number of times of turning back operation, and calculates the total thereof. In this modified example, an insurance premium table that matches the skill points thus calculated is used.

  FIG. 15 shows an example of an insurance premium table of this modification. In the example of FIG. 15, user skill points of “3 or more and less than 5”, “5 or more and less than 8”, “8 or more and less than 11” and “11 or more” are “1.0”, “0.9”, The multiplication rates of “0.8” and “0.7” are associated with each other. In the example of FIG. 14 and FIG. 15, when the skill is determined to be high in the recovery period, the skill points become larger than in the example shown in FIG. 7, so that the range of the skill points that can be calculated is widened.

  Therefore, in the example of FIG. 15, for the user who can widen the range of the multiplication rate and recover the intended flight state with a small amount of operation (a precise operation) with a high skill even when a specific event occurs. I decided to lower the insurance premium. Compared to the case of not performing the weighting, by performing the weighting above, the operation when recovering from a problem occurs will have a different skill than the operation in a stable flight state. The skill of the user can be determined more accurately.

  It should be noted that restoration to the intended flight state is not limited to restoration to the above flight route. For example, if the position to hover is defined, the state of hovering to that position means recovery. Further, more simply, when the attitude (direction, inclination, altitude, etc.) of the drone 20 is disturbed during the specific event period, stabilizing the attitude may mean recovery.

  In that case, the skill determination unit 104 identifies a period from the end of the specific event period identified by the period identification unit 103 to the return of the posture of the drone 20 to a stable state as a recovery period. In this modification, the flight history notification unit 203 measures the measurement results of the sensor that indicates the flight attitude (the azimuth in which the front of the aircraft is facing, the inclination of the aircraft in the front-back direction with respect to the horizontal direction, and the horizontal direction in the left-right direction of the aircraft). (Tilt with respect to) is notified as a flight history.

  The flight history acquisition unit 102 acquires the notified flight history. The skill determination unit 104 refers to the flight history after the time when the specified specific event period ends, and, for example, when the period in which the variation in the azimuth and inclination described above falls within a predetermined range continues for a threshold value or more, the drone 20 It is determined that the posture has returned to a stable state. In this determination, it is not always necessary to use all of the above-mentioned azimuth and inclination, and at least one of them may be used.

  The skill determination unit 104 specifies the period from the time when the specific event period ends to the time when the determination is made as the recovery period. By using this specifying method, the recovery period can be specified even when the flight route is not particularly determined as in the above-described example, and the skill of the user can be determined more accurately.

  When the drone 20 continues to fly after the specific event period ends, the attitude may not be stable because the drone 20 frequently tilts or changes its orientation depending on the flight purpose. Therefore, the skill determination unit 104 may specify a period from the end of the specific event period specified by the period specifying unit 103 to the return of the flight of the drone 20 to a stable state as a recovery period.

  In that case, the flight history notification unit 203 notifies the measurement result (speed, acceleration, angular velocity, etc.) of the sensor indicating the flight state as the flight history. The flight history acquisition unit 102 acquires the notified flight history. When the flight is not stable, the flight speed, acceleration, and angular velocity are likely to change suddenly, but when the flight becomes stable, those changes are made smoothly based on the operation of the operator. Become.

  Therefore, the skill determination unit 104 refers to the flight history after the time when the specified specific event period ends, and when the period in which the rate of change of flight speed, acceleration, and angular velocity falls within a predetermined range continues for a threshold value or more, It is determined that the attitude of the drone 20 has returned to a stable state. In this determination, it is not always necessary to use all of the flight speed, acceleration, and angular velocity, and at least one of them may be used.

  The skill determination unit 104 specifies the period from the time when the specific event period ends to the time when the determination is made as the recovery period. By using this identification method, it is possible to identify the recovery period even when a flight in which the flight direction changes frequently immediately after the end of the specific event period can be identified, and the skill of the user can be determined more accurately. it can.

[2-6] Recovery Period The shorter the recovery period described above, the higher the skill. Therefore, the skill determination unit 104 may reflect the short recovery period in the skill. The skill level determination unit 104 of the present modification increases the weight of the operation history in the recovery period as the recovery period specified by the period specifying unit 103 becomes shorter.

If a specific event occurs multiple times, multiple recovery periods will also be specified. Therefore, the skill determination unit 104 performs this weighting using, for example, a weight table in which the average value of the recovery period (average recovery period) and the weighting factor are associated with each other.
FIG. 16 shows an example of the weight table of this modification. In the example of FIG. 16, weighting factors of “1.4”, “1.2” and “1.0” are respectively set in the average recovery periods of “less than T11”, “T11 or more and less than T12” and “T12 or more”. It is associated.

  The skill determination unit 104 calculates, for example, an average value of recovery periods specified for a certain user, and specifies a weighting factor associated in the weight table with the calculated average recovery period. The skill determination unit 104 calculates the skill points by multiplying the skill points in the recovery period described in FIG. 14 by the specified weighting factors. For example, the average recovery period is “T11 or more and less than T12”, and the skill points of the average value of the single operation amount, the average value of the operation speed, and the average value of the number of times of switching operations are “1”, “2”, “ It is assumed that “1” is “5”, “3”, and “3” during the restoration period.

  In that case, the skill determination unit 104 identifies the weighting factor as “1.2” and multiplies the identified weighting factor by the skill point in the recovery period to obtain “6”, “3.6”, and “3.6”. calculate. Then, the skill determination unit 104 is the average value of the skill points in the other period and the recovery period, (1 + 6) /2=3.5, (2 + 3.6) /2=2.8, (1 + 3.6) / 2. = 2.3 + 3.5 + 2.8 + 2.3 = 8.6 is calculated as the total value of skill points.

  When the weighting of this modification is not performed, the average value of each skill point is (1 + 5) ÷ 2 = 3, (2 + 3) ÷ 2 = 2.5, (1 + 3) ÷ 2 = 2, which is 3 + 2.5 + 2 = 7. Becomes 5. In this case, when the insurance premium table shown in FIG. 15 is used, the multiplication rate also differs depending on whether weighting is applied (“0.9” without weighting, “0.8” with weighting). As described above, in the present modification, as the recovery period is shorter, the skill point represented by the operation history in the recovery period is increased so that the skill represented by the operation history is more strongly reflected in the overall skill.

  The weighting method is not limited to the above method. For example, as shown in FIG. 16, if a weighting factor that increases as the recovery period becomes shorter is used, the average value of the operation amount, the average value of the operation speed, and the average value of the number of times of switching operations may be divided by the weighting factor. . Even in that case, the skill point becomes larger as the recovery period becomes shorter. Regardless of which method is used, the skill of the operator who can promptly recover to a stable flight state is reflected, and the skill of the user can be more accurately determined, as compared with the case where the weighting is not performed. .

[2-7] Weighting As a weighting method, for example, when calculating an average value, a method of increasing a parameter of a value (operation speed or the like) used for the calculation according to a weighting coefficient was used. Further, in the above modification, a method of multiplying a value (skill point, etc.) calculated in the middle of the calculation by a weighting coefficient (the larger the weight, the larger the value) is used.

  Other than this, for example, a method of adding or subtracting a value according to the weighting coefficient to a value calculated during the calculation may be used. Further, a method of dividing a value calculated during the calculation by a weighting coefficient may be used. In either method, it is sufficient that weighting is performed so that a value having a larger weight has a greater influence on the calculation result when the value changes by the same amount than a value having a smaller weight.

[2-8] Flying Vehicle In the embodiments, a rotary wing aircraft is used as a flying vehicle that performs autonomous flight, but the flying vehicle is not limited to this. For example, it may be an airplane-type flying body or a helicopter-type flying body. In short, any flying body may be used as long as it flies according to an instruction given by the user (a real-time instruction from a propo or an instruction to fly a predetermined flight route).

[2-9] Device that realizes each function The device that realizes each function shown in FIG. 5 and the like is not limited to the above-described device. For example, the propo 30 may realize the skill determination function (functions from the operation history acquisition unit 101 to the skill determination unit 104) realized by the server device 10, or may be realized by the user terminal or the like used by the user. Good. In that case, those devices (propo 30 or user terminal) are examples of the "information processing device" of the present invention. Further, a device capable of providing the function realized by the radio system 30 with the function of operating a drone such as a smartphone may be realized. In short, each function shown in FIG. 5 and the like may be realized in the insurance premium determination system 1 as a whole.

[2-10] Operation Using Table In each of the above examples, the operation using the table shown in FIG. 7 and the like has been described, but the operation is not limited to this. For example, a table different from the table of FIG. 7 (one having a different number of rows, one having a different value for each row, etc.) may be used. Also, some algorithm may be used instead of the table. For example, in the example of FIG. 7, a function for calculating skill points from an average value of operation amounts or the like may be used. In this way, any method may be used as long as another value (skill point, etc.) is derived in accordance with some value (average value of operation amount, etc.).

[2-11] Category of Invention The present invention includes an information processing device such as a server device 10 and the like, and an information processing system including the information processing device, an aircraft such as a drone 20 and a device for operation such as a radio system 30. Can also be captured as. Further, the present invention can be understood as an information processing method for realizing the processing executed by those devices (including the drone 20) and as a program for causing a computer that controls these devices to function. . This program may be provided in the form of a recording medium such as an optical disc having the program stored therein, or may be provided in a form in which the program is downloaded to a computer via a network such as the Internet and the program is installed and made available. May be done.

[2-12] Functional Blocks The block diagrams used in the description of the above embodiments show functional blocks. These functional blocks (components) are realized by an arbitrary combination of at least one of hardware and software. The method of realizing each functional block is not particularly limited.

  That is, each functional block may be realized by using one device physically or logically coupled, or directly or indirectly (for example, two or more devices physically or logically separated). , Wired, wireless, etc.) and may be implemented using these multiple devices. The functional blocks may be realized by combining the one device or the plurality of devices with software.

  Functions include judgment, decision, judgment, calculation, calculation, processing, derivation, investigation, search, confirmation, reception, transmission, output, access, solution, selection, selection, establishment, comparison, assumption, expectation, and observation. Broadcasting, notifying, communicating, forwarding, configuration, reconfiguring, allocating, mapping, assigning, etc., but not limited to these. I can't. For example, a functional block (component) that functions transmission is called a transmitting unit or a transmitter. In any case, as described above, the implementation method is not particularly limited.

[2-13] Input / Output Direction Information and the like (* refer to the item “Information, Signal”) can be output from the upper layer (or lower layer) to the lower layer (or upper layer). Input / output may be performed via a plurality of network nodes.

[2-14] Handling of input / output information, etc. The input / output information, etc. may be stored in a specific place (for example, a memory) or may be managed using a management table. Information that is input / output can be overwritten, updated, or added. The output information and the like may be deleted. The input information and the like may be transmitted to another device.

[2-15] Judgment Method The judgment may be performed by a value (0 or 1) represented by 1 bit, a true / false value (Boolean: true or false), or a numerical value. (For example, comparison with a predetermined value) may be performed.

[2-16] Information Notification, Signaling Information notification is not limited to the mode / example described in the present disclosure, and may be performed using another method. For example, the information is notified by physical layer signaling (for example, DCI (Downlink Control Information), UCI (Uplink Control Information)), upper layer signaling (for example, RRC (Radio Resource Control) signaling, MAC (Medium Access Control) signaling, It may be implemented by notification information (MIB (Master Information Block), SIB (System Information Block)), another signal, or a combination thereof. Further, the RRC signaling may be referred to as an RRC message, and may be, for example, an RRC connection setup (RRC Connection Setup) message, an RRC connection reconfiguration message, or the like.

[2-17] Processing Procedure and the Like The processing procedure, sequence, flowchart, etc. of each aspect / embodiment described in the present disclosure may be interchanged as long as there is no contradiction. For example, the methods described in this disclosure present elements of the various steps in a sample order, and are not limited to the specific order presented.

[2-18] Handling of input / output information, etc. The input / output information, etc. may be stored in a specific location (for example, a memory) or may be managed by a management table. Information that is input / output can be overwritten, updated, or added. The output information and the like may be deleted. The input information and the like may be transmitted to another device.

[2-19] Software Software, whether called software, firmware, middleware, microcode, hardware description language, or any other name, is an instruction, instruction set, code, code segment, program code, program. , Subprograms, software modules, applications, software applications, software packages, routines, subroutines, objects, executables, threads of execution, procedures, functions, etc., should be broadly construed.

  Also, software, instructions, information, etc. may be sent and received via a transmission medium. For example, the software may use a wired technology (coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL), etc.) and / or wireless technology (infrared, microwave, etc.) websites, When sent from a server, or other remote source, at least one of these wired and wireless technologies is included within the definition of transmission medium.

[2-20] Information, Signals The information, signals, etc. described in this disclosure may be represented using any of a variety of different technologies. For example, data, instructions, commands, information, signals, bits, symbols, chips, etc. that may be referred to throughout the above description include voltage, current, electromagnetic waves, magnetic fields or magnetic particles, optical fields or photons, or any of these. May be represented by a combination of

  The terms described in the present disclosure and terms necessary for understanding the present disclosure may be replaced with terms having the same or similar meanings. For example, at least one of the channel and the symbol may be a signal (signaling). The signal may also be a message. Moreover, a component carrier (CC: Component Carrier) may be called a carrier frequency, a cell, a frequency carrier, or the like.

[2-21] System, Network The terms “system” and “network” used in the present disclosure are used interchangeably.

[2-22] Parameter, Channel Name Further, the information, parameters, etc. described in the present disclosure may be represented by using absolute values, or may be represented by using relative values from predetermined values. However, it may be represented by using other corresponding information. For example, the radio resources may be those indicated by the index.

  The names used for the above parameters are not limiting in any way. Further, the formulas and the like that use these parameters may differ from those explicitly disclosed in this disclosure. Since different channels (eg PUCCH, PDCCH, etc.) and information elements can be identified by any suitable name, the different names assigned to these different channels and information elements are in no way limited names. is not.

[2-23] "Judgment", "Decision"
The terms "determining" and "determining" as used in this disclosure may encompass a wide variety of actions. "Judgment", "decision" means, for example, judgment (judging), calculation (calculating), calculation (computing), processing (processing), derivation (deriving), investigating (investigating), searching (looking up, search, inquiry) (Eg, searching in a table, database, or another data structure), ascertaining to be regarded as “judgment” and “decision” may be included.

  In addition, "decision" and "decision" include receiving (eg, receiving information), transmitting (eg, transmitting information), input (input), output (output), access (accessing) (for example, accessing data in a memory) may be regarded as “judging” and “deciding”. In addition, "judgment" and "decision" are considered to be "judgment" and "decision" when things such as resolving, selecting, choosing, choosing, establishing, and comparing are done. May be included. That is, the “judgment” and “decision” may include considering some action as “judgment” and “decision”. In addition, “determination (decision)” may be replaced with “assuming”, “expecting”, “considering”, and the like.

[2-24] Meaning of “based on” As used in this disclosure, the description “based on” does not mean “based only on,” unless expressly specified otherwise. In other words, the phrase "based on" means both "based only on" and "based at least on."

[2-25] "Different"
In the present disclosure, the term “A and B are different” may mean “A and B are different from each other”. The term may mean that “A and B are different from C”. The terms "remove", "coupled" and the like may be construed as "different" as well.

[2-26] "and", "or"
In the present disclosure, for the configurations that can be implemented by “A and B” or “A or B”, the configuration described in one expression may be used as the configuration described in the other expression. For example, when "A and B" is described, it may be used as "A or B" as long as it is practicable without inconsistency with other descriptions.

[2-27] Variation of Aspect, etc. Each aspect / embodiment described in the present disclosure may be used alone, in combination, or may be switched and used in accordance with execution. Further, the notification of the predetermined information (for example, the notification of “being X”) is not limited to the explicit notification, and is performed implicitly (for example, the notification of the predetermined information is not performed). Good.

  Although the present disclosure has been described in detail above, it is obvious to those skilled in the art that the present disclosure is not limited to the embodiments described in the present disclosure. The present disclosure can be implemented as modified and changed modes without departing from the spirit and scope of the present disclosure defined by the description of the claims. Therefore, the description of the present disclosure is for the purpose of exemplifying description, and does not have any restrictive meaning to the present disclosure.

DESCRIPTION OF SYMBOLS 1 ... Insurance premium determination system, 10 ... Server device, 20 ... Drone, 30 ... Propo, 101 ... Operation history acquisition part, 102 ... Flight history acquisition part, 103 ... Period identification part, 104 ... Skill determination part, 105 ... Insurance premium Determining unit, 106 ... Insurance premium output unit, 107 ... Wind speed information acquisition unit, 108 ... Visibility information acquisition unit, 201 ... Operation control unit, 202 ... Sensor measurement unit, 203 ... Flight history notification unit, 301 ... Operation acceptance unit, 302 ... operation instruction unit, 303 ... operation history notification unit.

Claims (10)

An operation history acquisition unit that acquires an operation history of the flying body by the user
A flight history acquisition unit for acquiring the flight history of the flying object,
From the flight history acquired, a specifying unit that specifies an event period in which a predetermined event occurs,
A determination unit that determines the skill of the user based on the acquired operation history, and sets the weight of the operation history in the identified event period to be smaller than that of the other operation history to determine the skill. An information processing apparatus comprising: a determination unit for determining. The specifying unit is the operation content estimated when the flight body is assumed to fly the route indicated by the acquired flight history while exhibiting normal flight performance and the operation content indicated by the acquired operation history. The information processing apparatus according to claim 1, wherein a period in which a difference between and is greater than or equal to a threshold is specified as the event period. A wind speed acquisition unit for acquiring wind speed information indicating the wind speed around the air vehicle,
The information according to claim 1 or 2, wherein the specifying unit specifies, as the event period, a period in which a change in a wind speed per unit time is indicated as being equal to or more than a threshold value or a wind velocity is equal to or more than a threshold value according to the acquired wind velocity information. Processing equipment. A transmission source information acquisition unit that acquires transmission source information that identifies the transmission source of the operation data received by the aircraft,
The said specification part specifies the period when the said transmission source which the acquired transmission source information shows is different from the time of flight start as the said event period, The any one of Claim 1 to 3 of Claim 3 Information processing equipment. A defect information acquisition unit for acquiring defect information indicating the presence or absence of a defect in the parts of the aircraft,
The identifying unit identifies, as the event period, a period after the defect information is acquired when the acquired defect information indicates that the component has a predetermined defect. The information processing apparatus according to any one of 1. A field-of-view information acquisition unit that acquires field-of-view information indicating the state of the field of vision around the aircraft,
The information processing device according to claim 1, wherein the specifying unit specifies, as the event period, a period indicating that the visibility is worse than a predetermined level based on the obtained visibility information. . The specifying unit, from the acquired flight history, specifies a recovery period from the end of the event period until the flight of the aircraft is in a state before the start of the event period,
The information processing apparatus according to claim 1, wherein the determination unit increases the weight of the operation history in the identified recovery period. The flight route is defined for the aircraft,
The information processing apparatus according to claim 7, wherein the specifying unit specifies a period from the end of the event period to the return to the flight route as the recovery period. The information processing apparatus according to claim 7, wherein the specifying unit specifies a period from the end of the event period to the return of the attitude or flight of the flying object to a stable state as the recovery period. The information processing apparatus according to claim 7, wherein the determination unit increases the weight of the operation history in the restoration period as the identified restoration period is shorter.

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