JP2023051674A - Information output device, information output method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To allow a user to identify whether an unmanned moving device is inspected at an appropriate frequency.

SOLUTION: An information output device includes: an acquisition unit which acquires body identification information identifying an unmanned moving device and information indicating the amount of operation of the unmanned moving device; a specifying unit which specifies, as an attribute of the unmanned moving device, a model of the unmanned moving device associated with the body identification information acquired by the acquisition unit, a purpose of use of the unmanned moving device, an operation area of the unmanned moving device, or component information on components included in the unmanned moving device; a selection unit which selects an inspection threshold corresponding to the attribute specified by the specifying unit; a determination unit which determines whether a cumulative operation amount calculated by accumulating the amount of operation is larger than the inspection threshold selected by the selection unit; and an output unit which outputs a result determined by the determination unit.

SELECTED DRAWING: Figure 2

COPYRIGHT: (C)2023,JPO&INPIT

Description

The present invention relates to an information output device, an information output method, and a program for managing an unmanned mobile device that moves in air or water.

In order to safely use an unmanned mobile device such as a drone, repair and maintenance are performed for failures and abnormalities of the unmanned mobile device (for example, Patent Document 1).

WO2019/225762

2. Description of the Related Art Regular inspections of unmanned mobile devices are widely performed in order to maintain a state in which the unmanned mobile devices can move safely. The method described in Patent Literature 1 has a problem that it cannot be determined whether or not the unmanned mobile device is being inspected at an appropriate frequency.

Accordingly, the present invention has been made in view of the above circumstances, and provides an information output device and an information output method that enable a user to ascertain whether or not an unmanned mobile device is being inspected at an appropriate frequency. and to provide programs.

An information output device according to a first aspect of the present invention includes an acquisition unit that acquires machine identification information that identifies an unmanned mobile device and information that indicates the amount of operation that the unmanned mobile device operates; The model of the unmanned mobile device associated with the device identification information, the purpose of the unmanned mobile device, the operation area of the unmanned mobile device, or the part information that is information indicating the parts included in the unmanned mobile device. A specifying unit for specifying an attribute of a mobile device, a selecting unit for selecting an inspection threshold value corresponding to the attribute specified by the specifying unit, and calculating by accumulating the operation amount from the inspection threshold value selected by the selecting unit. a judgment unit for judging whether or not the accumulated travel amount is large; and an output unit for outputting the judgment result of the judgment unit.

The information output device may further include an operation restriction unit that prohibits operation of the unmanned mobile device when the determination unit determines that the cumulative operation amount is greater than the inspection threshold selected by the selection unit. good.

The acquisition unit acquires the aircraft identification information and the cumulative travel amount of the plurality of unmanned mobile devices, and based on the aircraft identification information and the cumulative travel amount of the plurality of unmanned mobile devices, the plurality of unmanned The unmanned mobile device to be operated next may be selected from the mobile devices.

The determination unit determines whether the frequency of detection of the abnormality is greater than a predetermined frequency threshold based on error history information indicating a history of detection of the abnormality of the unmanned mobile device, and the output unit , a first determination result obtained by the determination unit determining whether the cumulative travel amount is greater than the inspection threshold selected by the selection unit, and whether the frequency of detection of the abnormality is greater than the frequency threshold may be output together with the second determination result determined by the determination unit.

Elapsed time since the purchase of the unmanned mobile device for which the insurance subscribed by the user of the unmanned mobile device is applied, elapsed time since the previous inspection of the unmanned mobile device, the cumulative operation amount, or A storage unit that stores usage conditions and a reception unit that receives an operation reservation for operation of the unmanned mobile device. It may be determined whether the unmanned mobile device satisfies the condition.

The acquisition unit acquires a body-captured image of the unmanned mobile device, and the information output device receives input information input by a user of the unmanned mobile device in association with the body-captured image; The apparatus may further include a transmission control unit that transmits the captured image of the aircraft to a predetermined contact when it is determined that the input information is information indicating details of a failure.

The information output device further comprises a generation unit that generates an inspection table that associates the model of the unmanned mobile device with the inspection threshold based on statistical information about failures that have occurred in the past in the plurality of unmanned mobile devices, The specifying unit specifies the model of the unmanned mobile device as an attribute of the unmanned mobile device, and the selecting unit refers to the inspection table and selects the model of the unmanned mobile device specified by the specifying unit for the inspection. The corresponding inspection thresholds may be identified in a table.

The information output device may further include a fee setting unit that reduces insurance premiums of insurance that the user of the unmanned mobile device subscribes to when the cumulative operation amount acquired by the acquisition unit is greater than the inspection threshold. good.

An information output method according to a second aspect of the present invention is a computer-executed step of acquiring machine identification information for identifying an unmanned mobile device and information indicating the amount of operation operated by the unmanned mobile device; The model of the unmanned mobile device associated with the device identification information, the purpose of the unmanned mobile device, the operation area of the unmanned mobile device, or the part information that is information indicating the parts included in the unmanned mobile device. identifying an attribute of the mobile device; selecting an inspection threshold value corresponding to the identified attribute; determining whether or not the cumulative operation amount calculated by accumulating the operation amount is larger than the selected inspection threshold value. It comprises a step of judging and a step of outputting the judgment result.

A program according to a third aspect of the present invention comprises a step of obtaining, in a computer, aircraft identification information identifying an unmanned mobile device and information indicating the amount of operation of the unmanned mobile device; The model of the unmanned mobile device associated with the unmanned mobile device, the use of the unmanned mobile device, the operation area of the unmanned mobile device, or the part information that is information indicating the parts included in the unmanned mobile device attribute of the unmanned mobile device a step of selecting an inspection threshold value corresponding to the specified attribute; and a step of determining whether the cumulative operation amount calculated by accumulating the operation amount is larger than the selected inspection threshold value. , and a step of outputting the determination result.

ADVANTAGE OF THE INVENTION According to this invention, it is effective in enabling a user to grasp whether an unmanned mobile device is checked with appropriate frequency.

1 shows an outline of an information output system S according to an embodiment; 1 shows the configuration of an information output device; An example of an inspection table is shown. 4 shows the configuration of the output section. 4 is a flowchart showing a processing procedure for determining whether or not inspection is necessary by an information output device; 10 is a flow chart showing a processing procedure for selecting an unmanned mobile device by an information output device;

[Overview of information output system]
FIG. 1 shows an outline of an information output system S according to an embodiment of the invention. The information output system S includes an unmanned mobile device 100 , a user terminal 200 and an information output device 300 .

The unmanned mobile device 100 is, for example, a flying drone. The unmanned mobile device 100 may be an underwater or land drone. The unmanned mobile device 100 moves based on operation data or operation schedule data received from the user terminal 200 via a wireless communication line such as LTE or Wi-Fi (registered trademark). The operation schedule data is data indicating positions and times to which the unmanned mobile device 100 should move.

The user terminal 200 is, for example, a tablet. The user terminal 200 is, for example, a terminal of the owner of the unmanned mobile device 100, but may be a terminal of a worker who maintains the unmanned mobile device 100. FIG. The user terminal 200 transmits operation data or operation schedule data for operating the unmanned mobile device 100 via a wireless communication line.

The information output device 300 is a device, such as a server, that determines whether the unmanned mobile device 100 is being inspected at an appropriate frequency. The information output device 300 communicates with the unmanned mobile device 100 and the user terminal 200 via a network. For example, the information output device 300 compares the cumulative operation amount of the unmanned mobile device 100 with inspection thresholds associated with the unmanned mobile device 100 or parts included in the unmanned mobile device 100, thereby determining whether the unmanned mobile device 100 Determine whether inspection is necessary. The cumulative travel amount is the cumulative value of travel distance or travel time since the use of the unmanned mobile device 100 was started.

The inspection is performed, for example, at a time recommended by the manufacturer of the unmanned mobile device 100, a manufacturer of parts included in the unmanned mobile device 100, or an insurance company, or at a time required in advance by law or ordinance. The inspection threshold is a reference value for determining when inspection is required, and is used to determine whether inspection is necessary. The inspection threshold may be, for example, a cumulative travel amount that is a cumulative value of the time or distance traveled by the unmanned mobile device 100, an accumulated use time of components mounted on the unmanned mobile device 100, the number of times the unmanned mobile device 100 traveled, an unmanned It is a reference value such as the degree of deterioration of the performance of the parts mounted on the mobile device 100 or the unmanned mobile device 100 (the charging time of the battery).

The information output device 300 notifies the user terminal 200 of the result of determining the necessity of inspection. The user using the user terminal 200 can prevent the unmanned mobile device 100 from being operated in spite of the need for inspection by confirming the notified necessity of inspection. The user terminal 200 may be configured to transmit operation data or operation schedule data to the unmanned mobile device 100 on condition that a result indicating that inspection is unnecessary has been received from the information output device 300 .

Hereinafter, the flow of processing of the information output system S will be described with reference to FIG. When the user operates the user terminal 200 to make a reservation to use the unmanned mobile device 100, the user terminal 200 transmits operation reservation data to the information output device 300 ((1) in FIG. 1). The operation reservation data includes, for example, device identification information (hereinafter referred to as “device ID”) for identifying the unmanned mobile device 100 used by the user. The operation reservation data may include data indicating the date and time when the user uses the unmanned mobile device 100, data indicating the usage, data indicating the area in which the device is used, and the like.

The information output device 300 identifies the type of the unmanned mobile device 100 stored in association with the device ID included in the operation reservation data acquired from the user terminal 200 ((2) in FIG. 1). The information output device 300 selects an inspection threshold value corresponding to the specified aircraft type by referring to an inspection table indicating inspection threshold values corresponding to the type of the unmanned mobile device 100 ((3) in FIG. 1).

The information output device 300 associates and stores the device ID and the accumulated operation amount, which is the accumulated value of the operation amount by the operation of the unmanned mobile device 100 up to the previous time. The information output device 300 determines whether or not the cumulative operation amount of the unmanned mobile device 100 is greater than the inspection threshold corresponding to the type of the unmanned mobile device 100 . The information output device 300 outputs the determination result to the user terminal 200 ((4) in FIG. 1).

If the determination result indicates that inspection is unnecessary, the user terminal 200 transmits operation data corresponding to the user's operation to the unmanned mobile device 100 ((5) in FIG. 1). The unmanned mobile device 100 transmits the machine ID and the operation amount to the information output device 300 during operation or after the operation ends ((6) in FIG. 1). The information output device 300 updates the accumulated operation amount by adding the received operation amount to the stored accumulated operation amount, and uses the updated accumulated operation amount when the operation reservation data is received next time.

The user terminal 200 receives from the user the result of visual inspection of the unmanned mobile device 100 or the captured image generated by capturing the image of the unmanned mobile device 100, and outputs the visual inspection result or the captured image to an information output device. 300. In this case, the information output device 300 may determine whether or not inspection is necessary further based on the visual inspection result or the captured image.

[Configuration of information output device]
FIG. 2 shows the configuration of the information output device 300. As shown in FIG. The information output device 300 includes a communication section 31 , a storage section 32 and a control section 33 . The control unit 33 includes an acquisition unit 331 , an identification unit 332 , a reception unit 333 , a determination unit 334 , an output unit 335 and a generation unit 336 .

The communication unit 31 is an interface for communicating with the unmanned mobile device 100 and the user terminal 200 via a network. The storage unit 32 is a storage medium including ROM (Read Only Memory), RAM (Random Access Memory), and the like. The storage unit 32 stores programs executed by the control unit 33 . The storage unit 32 stores, for example, a user table that associates terminal identification information (hereinafter referred to as “terminal ID”) for identifying the user terminal 200 with a device ID.

The storage unit 32 also stores a device table that associates each of a plurality of device IDs with a plurality of pieces of device information. The device information includes information indicating the model of the unmanned mobile device 100, the purpose of operation of the unmanned mobile device 100, or parts included in the unmanned mobile device (hereinafter referred to as "parts information"). Applications of the unmanned mobile device 100 are, for example, transporting or monitoring articles. The application may include information indicating whether the unmanned mobile device 100 may travel over an urban area. The part information is, for example, the model number of the motor or battery mounted on the unmanned mobile device 100 .

The storage unit 32 also stores operation history information that associates the device ID with the operation history of the unmanned mobile device 100 . The operation history includes, for example, cumulative travel distance, cumulative travel time, cumulative number of travels, elapsed time since manufacture, elapsed time since purchase, maximum travel distance per trip, maximum travel time per trip, specified This includes the number of times the speed was not achieved, or the number of times an abnormality in any part was detected.

“Cumulative traveled distance” is the cumulative value of the traveled distance after the unmanned mobile device 100 is started to be used. “Cumulative operation time” is the cumulative value of the operation time since the unmanned mobile device 100 started to be used. The “number of operations” is the number of times the unmanned mobile device 100 has been used for operation since the start of use. The “elapsed period from manufacturing time” is the period from the manufacturing date of the unmanned mobile device 100 to the present time. The 'elapsed period from purchase time' is the period from the date when the unmanned mobile device 100 was purchased to the present time.

The “maximum travel distance per trip” is the travel distance of the longest distance traveled in the past travel. The “maximum operation time per one time” is the operation time when the train operated for the longest time in the past operations. The “number of times the specified speed was not reached” is, for example, the number of times the user terminal 200 could not move at the specified speed. "The number of times an abnormality of any part was detected" is the number of times an abnormality of a part was detected in the past operation.

Further, the storage unit 32 stores an inspection table that associates the models of the unmanned mobile device 100 with inspection threshold values. FIG. 3 shows an example of an inspection table. In the inspection table of FIG. 3, the model type is associated with inspection threshold values for each of a plurality of determination items used to determine whether inspection is necessary. The determination item corresponds to the operation history included in the operation history information. As an example, it is determined that inspection is necessary when the value indicated by various data included in the operation history information is greater than the inspection threshold value corresponding to the data.

By the way, since it is assumed that required safety differs depending on the application, different inspection thresholds are associated with each combination of application and model in the inspection table shown in FIG. For example, use α is a monitoring use for capturing images during flight, and use β is a use for transporting goods. In such a case, the use β requires a higher level of safety than the use α, so the inspection threshold is set so that inspection is determined to be necessary earlier than the use α.

In addition, it is assumed that the required safety varies depending on the region where the unmanned mobile device 100 operates. Therefore, in the inspection table shown in FIG. there is For example, the service area X is a non-urban area, and the service area Y is an urban area. In such a case, since higher safety is required in the operation area Y than in the operation area X, the inspection threshold is set so that inspection is determined to be necessary earlier than in the operation area X.

In the inspection table shown in FIG. 3, inspection thresholds are shown for each model, but inspection thresholds may be included for each part. Inspection thresholds corresponding to various conditions may also be included, such as a combination of part and application, a combination of part and service area, or a combination of model, application and service area. The inspection table may include any determination items, and may include only some of the determination items in the inspection table shown in FIG. 3, or may include other determination items.

Furthermore, in the inspection table shown in FIG. 3, inspection thresholds corresponding to all judgment items are included in association with all models, usages and service areas. A judgment item that is not used for judgment of no may be included. As an example, the quality of the captured image transmitted from the unmanned mobile device 100 may be included as a determination item that is used for surveillance using captured images and not used for other uses.

Note that the storage unit 32 may store conditions for applying the insurance subscribed by the user of the unmanned mobile device 100 . The conditions for applying the insurance subscribed by the user of the unmanned mobile device 100 are, for example, the elapsed time from the time of purchase of the unmanned mobile device 100 or the previous inspection, the time of purchase of the unmanned mobile device 100 or the time of the previous inspection. , the operation area in which the unmanned mobile device 100 operates, or the application in which the unmanned mobile device 100 operates.

The control unit 33 is, for example, a CPU (Central Processing Unit). The control unit 33 functions as an acquisition unit 331 , a specification unit 332 , a reception unit 333 , a determination unit 334 , an output unit 335 and a generation unit 336 by executing programs stored in the storage unit 32 .

The acquisition unit 331 acquires various types of information from the plurality of unmanned mobile devices 100 via the communication unit 31 . The acquisition unit 331 acquires from the unmanned mobile device 100 a machine body ID for identifying the unmanned mobile device 100 and information indicating the amount of operation of the unmanned mobile device. The acquisition unit 331 updates the cumulative travel amount by adding the travel amount acquired from the unmanned mobile device 100 to the cumulative travel amount stored in the storage unit 32 in association with the aircraft ID.

The acquisition unit 331 obtains the operation data including the continuous operation time after the unmanned mobile device 100 starts operating, the continuous operation distance, the operating speed, and the state of the battery installed in the unmanned mobile device 100 (remaining amount, electricity consumption rate). The state information and the machine ID may be acquired from the unmanned mobile device 100 in operation.

When the unmanned mobile device 100 detects an abnormality, the acquisition unit 331 may acquire error information indicating that the unmanned mobile device 100 has detected an abnormality and the device ID from the unmanned mobile device 100 . An abnormality of the unmanned mobile device 100 is, for example, a failure of a component mounted on the unmanned mobile device 100 . The acquisition unit 331 associates the acquired error information, the date and time when the error information was acquired, and the device ID, and stores them in the storage unit 32 as error history information.

The specifying unit 332 refers to the device table stored in the storage unit 32 and specifies device information stored in association with the device ID acquired by the acquiring unit 331 . The identifying unit 332 outputs the identified device information to the determining unit 334 . The specifying unit 332 may output the model, application, or part information indicated by the specified device information to the determination unit 334 .

The reception unit 333 receives various types of input information from the user terminal 200 via the communication unit 31 . The accepting unit 333 accepts operation reservation data including, for example, the date and time of operation of the unmanned mobile device 100 and the operation route. The service reservation data may include the usage and service area of the unmanned mobile device 100 . The service reservation data may include information specifying, for each position, the speed, climb speed, or altitude at which the unmanned mobile device 100 moves at a plurality of positions on the service route. The receiving unit 333 receives, for example, the service reservation data together with the terminal ID. The accepting unit 333 may accept user identification information instead of the terminal ID or together with the terminal ID. The receiving unit 333 may receive an instruction to determine whether inspection is necessary instead of or together with the operation reservation data.

In addition, the reception unit 333 receives the user's visual inspection result of the unmanned mobile device 100, or the machine-captured image or machine-captured video generated by the user's photographing of the unmanned mobile device 100 (hereinafter referred to as "machine-captured image, etc."). ) may be received from the user terminal 200 as input information. The visual inspection result includes, for example, the aircraft ID, inspection date and time, information on parts replaced during inspection, or user's comments. The body-captured image or the like is, for example, an image captured by the user of a portion of the unmanned mobile device 100 suspected of having a failure. The reception unit 333 outputs the operation reservation data, the visual inspection result, the picked-up image of the aircraft, or the like to the determination unit 334 .

The determination unit 334 determines whether inspection of the unmanned mobile device 100 is necessary. When the reception unit 333 receives operation reservation data from the user terminal 200 or when the reception unit 333 receives an instruction to determine whether or not inspection is necessary, the determination unit 334 instructs the unmanned mobile device 100 to be inspected. The necessity of inspection is determined by comparing the associated inspection threshold value with the value indicated by the operation history of the unmanned mobile device 100 . The determination unit 334 determines whether or not inspection is necessary by, for example, determining whether or not the cumulative operation amount acquired by the acquisition unit 331 is greater than the inspection threshold value included in the inspection table.

The determination unit 334 determines using the inspection threshold value corresponding to the model or application indicated by the device information specified by the specifying unit 332 among the plurality of inspection threshold values stored in the storage unit 32 . For example, when the device information specified by the specifying unit 332 includes information indicating the model of the unmanned mobile device 100, the determination unit 334 corresponds to the model of the unmanned mobile device 100 included in the device information in the inspection table. Select an inspection threshold.

The determination unit 334 receives operation reservation data including information on one or more of the purpose of the unmanned mobile device 100 (transportation of goods, surveillance, etc.) or the area in which the unmanned mobile device 100 operates (urban area, mountainous area, etc.). When the unit 333 accepts, an inspection threshold corresponding to the model of the unmanned mobile device 100 included in the device information and the usage or operation area accepted by the accepting unit 333 may be selected in the inspection table. When the device information specified by the specifying unit 332 includes component information mounted on the unmanned mobile device 100, the determining unit 334 determines whether or not the component indicated by the component information needs to be inspected. A threshold may be selected.

When the operation reservation data indicates that the unmanned mobile device 100 of model A (machine ID is 0001) is used for application α, the determination unit 334 determines that the operation history information of the unmanned mobile device 100 whose machine ID is 0001 is The value of one or more items indicated is compared with the inspection threshold value of the determination item corresponding to the one or more items indicated by the operation history information, which is associated with the combination of application α and model A in the inspection data.

As an example, the determination unit 334 compares the cumulative travel distance, which is one of the cumulative travel amounts, with an inspection threshold for the cumulative travel distance corresponding to the combination of the purpose α and the model A in the inspection data. The determination unit 334 determines that inspection is necessary when the value of the cumulative travel distance indicated by the operation history information is equal to or greater than the inspection threshold, and the value of the cumulative travel distance indicated by the operation history information is less than the inspection threshold. , it is determined that inspection is not necessary. The determination unit 334 notifies the output unit 335 of the first determination result of determining whether or not the cumulative travel amount is greater than the inspection threshold.

The determination unit 334 outputs a second determination result of determining whether or not the frequency of detection of anomalies is greater than a predetermined frequency threshold based on error history information indicating the history of detection of anomalies in the unmanned mobile device 100. The unit 335 may be notified. In this case, the determination unit 334 determines whether or not the abnormality detection frequency indicated by the error history information stored in the storage unit 32 is greater than a predetermined frequency threshold. The frequency threshold is, for example, a value determined as a value indicating the need for inspection or repair of the unmanned mobile device 100, and is the inspection threshold of the inspection table. The determination unit 334 notifies the output unit 335 of a second determination result obtained by determining whether the frequency of detection of anomalies in the unmanned mobile device 100 is greater than the frequency threshold.

As an example, the determination unit 334 refers to the error history information stored in the storage unit 32, and acquires error information indicating an abnormality in any component mounted on the unmanned mobile device 100. It is determined whether or not the inspection threshold "1" corresponding to the determination item "the number of times (times) in which an abnormality was detected in any component" in the table has been obtained.

For example, the determination unit 334 determines whether or not inspection is necessary when the reception unit 333 receives the operation reservation data from the user terminal 200, but the determination unit 334 makes the determination at any timing. The determination unit 334 determines whether or not the acquired cumulative operation amount is larger than the inspection threshold when the acquisition unit 331 acquires the operation amount after the unmanned mobile apparatus 100 starts operating from the unmanned mobile apparatus 100. You may Further, the determination unit 334 may perform determination each time the operation of the unmanned mobile device 100 ends. Further, the determination unit 334 may determine the unmanned mobile device 100 that is stopped at predetermined time intervals. The predetermined time is, for example, a time preset by the user of the unmanned mobile device 100 .

Note that the determination unit 334 may perform a plurality of determinations using a plurality of inspection thresholds for the same combination of application, model, and determination item. For example, the determination unit 334 may determine using a warning inspection threshold for warning the user that inspection is not properly performed and a prohibited inspection threshold for prohibiting operation of the unmanned mobile device 100. good.

Further, the determining unit 334 determines whether or not the unmanned mobile device 100 satisfies the conditions for the insurance to which the user of the unmanned mobile device 100 is subscribed, based on the receipt of the operation reservation data by the receiving unit 333 . It may be determined whether For example, if the condition for applying insurance is that the elapsed time from the purchase of the unmanned mobile device 100 is equal to or less than a predetermined value, the determination unit 334 purchases the unmanned mobile device 100 . It is determined whether or not the elapsed time from the time satisfies this condition. The predetermined value is, for example, a value determined by a contract when the user takes out insurance.

The determination unit 334 determines that the elapsed time since the previous inspection of the unmanned mobile device 100 is less than or equal to the reference time, or that the cumulative operation amount since the previous inspection of the unmanned mobile device 100 is less than or equal to the reference amount. If it is a condition for insurance to be applied, it is determined whether the elapsed time is equal to or less than the reference time, or whether the accumulated running amount is equal to or less than the reference amount. The reference time or reference amount is determined, for example, by a contract when the user takes out insurance.

If it is a condition for the insurance to apply that the usage included in the operation reservation is the spraying of agricultural chemicals, the determination unit 334 determines that the usage included in the operation reservation received by the reception unit 333 is the spraying of agricultural chemicals. It is determined whether or not. The determination unit 334 notifies the output unit 335 of the third determination result of determining whether or not the unmanned mobile device 100 satisfies the conditions for the insurance subscribed by the user of the unmanned mobile device 100 to be applied.

Furthermore, the determination unit 334 may determine whether or not the input information received by the reception unit 333 is information indicating that the unmanned mobile device 100 is out of order. More specifically, the determination unit 334 extracts keywords by text-mining the input information received by the reception unit 333 . The determining unit 334 is a learned machine learning process in which a character string is used as input data, and a classification result obtained by classifying whether or not the character string is information indicating that the unmanned mobile device 100 is out of order is used as output data. input into the model. The determination unit 334 determines whether or not the input information received by the reception unit 333 is information indicating that the unmanned mobile device 100 is out of order, based on the classification result output by the machine learning model.

The determination unit 334 may determine whether or not the body captured image or the like acquired by the acquisition unit 331 indicates that the unmanned mobile device 100 is out of order. The determination unit 334 inputs the picked-up image of the unmanned mobile device 100 as input data to a learned machine learning model that takes as output data a classification result of whether or not the unmanned mobile device 100 is out of order. The determination unit 334 determines whether or not the body image captured by the acquisition unit 331 indicates that the unmanned mobile device 100 is out of order, based on the classification result output by the machine learning model.

The output unit 335 transmits various data to the user terminal 200 via the communication unit 31 . The output unit 335 outputs the determination result of the determination unit 334, for example. In the example of this specification, the output unit 335 outputs the first determination result of determining whether or not the cumulative travel amount acquired from the unmanned mobile device 100 is greater than the inspection threshold selected by the determination unit 334 . The output unit 335 may output a second determination result of determining whether the frequency of detection of anomalies in the unmanned mobile device 100 is greater than the frequency threshold.

The output unit 335 identifies the user terminal 200 corresponding to the device ID acquired by the acquisition unit 331 . The output unit 335 outputs at least one of the first determination result and the second determination result to the identified user terminal 200 . In this way, the output unit 335 can allow the user to understand that the risk of an abnormality being detected in the unmanned mobile device 100 is relatively high.

The output unit 335 outputs to the specified user terminal 200 a third determination result as to whether or not the unmanned mobile device 100 satisfies the conditions for the insurance to which the user of the unmanned mobile device 100 is subscribed. may be output. The output unit 335 determines whether the unmanned mobile device 100 satisfies the conditions for the insurance subscribed by the user of the unmanned mobile device 100 to be applied to the user terminal 200 corresponding to the device ID acquired by the acquisition unit 331. A third determination result of no is output. In this way, the output unit 335 can allow the user to understand whether the unmanned mobile device 100 scheduled to operate is covered by insurance.

FIG. 4 shows the configuration of the output unit 335. As shown in FIG. The output unit 335 includes an operation restriction unit 71 , a price setting unit 72 and a notification unit 73 . The operation restriction unit 71 transmits the operation schedule data corresponding to the operation reservation data received by the reception unit 333 together with the operation reservation data to the unmanned mobile device 100 owned by the user corresponding to the terminal ID obtained by the acquisition unit 331. . When the determination unit 334 determines that the inspection of the unmanned mobile device 100 is necessary (for example, when the determination unit 334 determines that the cumulative operation amount is greater than the inspection threshold value), the operation restriction unit 71 restricts the unmanned travel. Operation of the device 100 is prohibited. At this time, the operation restriction unit 71 does not transmit the operation schedule data to this unmanned mobile device 100 . After prohibiting the operation of the unmanned mobile device 100, the operation restriction unit 71 does not transmit the operation schedule data to the unmanned mobile device 100 until the inspection of the unmanned mobile device 100 is performed.

On the other hand, when the determination unit 334 determines that the inspection of the unmanned mobile device 100 is not necessary (for example, when the determination unit 334 determines that the cumulative operation amount is equal to or less than the inspection threshold value), the operation restriction unit 71 performs this unmanned operation. The operation of the mobile device 100 is permitted. At this time, the operation restriction unit 71 transmits operation schedule data to the unmanned mobile device 100 . Operation by the unmanned mobile device 100 is performed based on this operation schedule data.

The operation restriction unit 71 restricts the operation of the unmanned mobile device 100 in all determinations corresponding to a plurality of inspection threshold values included in the inspection table in association with the model, application, or operation area of the unmanned mobile device 100. Operation of the unmanned mobile device 100 may be permitted under the condition that the determination unit 334 determines that the conditions are satisfied. On the other hand, the operation restriction unit 71 determines that the unmanned mobile device 100 does not meet any of the plurality of inspection thresholds included in the inspection table in association with any of the model, usage, or operation area. If the unit 334 determines, operation of the unmanned mobile device 100 is prohibited.

The fee setting unit 72 determines the premium of the insurance that the user of the unmanned mobile device 100 subscribes to, and outputs the determined premium. If the unmanned mobile device 100 has a large accumulated operation amount but the number of accidents or failures is low, it can be estimated that the risk of an abnormality occurring due to the user operating the unmanned mobile device 100 is low. Therefore, the charge setting unit 72 reduces the insurance premium of the insurance subscribed by the user of the unmanned mobile device 100 when the cumulative operation amount acquired by the acquisition unit 331 is greater than the inspection threshold. The fee setting unit 72 determines that the cumulative travel amount acquired by the acquiring unit 331 is greater than the inspection threshold, and the frequency of acquiring error information from the unmanned mobile device 100 in the error history information stored in the storage unit 32 is greater than the frequency threshold. Premiums may be reduced if shown to be low. The fee setting unit 72 notifies the user of the determined insurance premium.

On the other hand, the fee setting unit 72 determines that the cumulative travel amount acquired by the acquiring unit 331 is smaller than the inspection threshold, and the frequency of acquiring error information from the unmanned mobile device 100 in the error history information stored in the storage unit 32 is the frequency. If it is shown to be higher than the threshold, it is assumed that the risk of an abnormality being detected in the operating environment in which the unmanned mobile device 100 operates is relatively high, and the insurance premium is increased. In this manner, the charge setting unit 72 can set an appropriate insurance premium according to the frequency of inspection of the unmanned mobile device 100 and the frequency of detection of an abnormality.

The notification unit 73 identifies the user terminal 200 corresponding to the device ID acquired by the acquisition unit 331 . The notification unit 73 notifies the user terminal 200 of one or more of the first determination result, the second determination result, and the third determination result.

The notification unit 73 may notify the user terminal 200 of the determination result determined by the determination unit 334 based on an inspection threshold different from that of the operation restriction unit 71 . For example, when the determination unit 334 selects a warning inspection threshold value for warning the user that inspection is not properly performed and a prohibited inspection threshold value for prohibiting operation of the unmanned mobile device 100, notification The unit 73 may notify the user terminal 200 of a first determination result obtained by determining whether or not the cumulative operation amount is larger than the warning inspection threshold selected by the determination unit 334 . On the other hand, the operation restriction unit 71 prohibits the operation of the unmanned mobile device 100 when the accumulated operation amount is larger than the prohibited inspection threshold selected by the determination unit 334, and when the accumulated operation amount is equal to or less than the prohibited inspection threshold, Operation of the unmanned mobile device 100 may be permitted. The prohibited inspection threshold is, for example, a value greater than the warning inspection threshold.

[Generation of inspection table]
The generation unit 336 generates an inspection table that associates the model of the unmanned mobile device 100 with inspection thresholds, as shown in FIG. As an example, the generating unit 336 generates an inspection table that associates the models of the unmanned mobile devices 100 with inspection thresholds based on statistical information about failures that have occurred in the plurality of unmanned mobile devices 100 in the past. In order to generate an inspection table, the generating unit 336 collects past failure cases in a plurality of unmanned mobile devices 100, the frequency at which inspections were performed in each unmanned mobile device 100, and the inspection table for each unmanned mobile device. 100 models are obtained from an external device (not shown) that manages operation of the plurality of unmanned mobile devices 100 .

The generation unit 336 statistically analyzes the acquired information to specify for each model how often failures can be suppressed by performing inspections of the unmanned mobile device 100 . The generation unit 336 sets, for each model, an inspection threshold for inspecting the unmanned mobile device 100 at the specified frequency. The generator 336 may generate an inspection table that includes inspection thresholds associated with the application in which the unmanned mobile device 100 operates or the region in which the unmanned mobile device 100 operates.

The generation unit 336 may set the inspection threshold using a learned machine learning model. The generation unit 336 used a large number of unmanned mobile devices 100 of the same model and the same purpose, including an unmanned mobile device 100 for which an abnormality was detected or a failure occurred in the past, for inspection of each of the unmanned mobile devices 100. The inspection threshold is grouped, and the frequency of detection of abnormality or occurrence of failure is calculated for each group. The generating unit 336 generates a learned machine learning model by causing the machine learning model to learn learning data that associates the calculated frequency of detection of abnormality with the inspection threshold value. The generation unit 336 inputs as input data the frequency of detection of abnormalities that is permissible from the viewpoint of securing business profitability to the learned machine learning model, and the inspection threshold output by the machine learning model as output data to get

[Selection of unmanned mobile device 100 to operate next]
The output unit 335 determines which unmanned mobile device 100 to operate next among the plurality of unmanned mobile devices 100 based on the device IDs and the cumulative operation amounts acquired from the plurality of unmanned mobile devices 100 by the acquisition unit 331 . You may output the selected result. For example, the determination unit 334 selects the unmanned mobile device 100 with the smallest accumulated travel amount acquired by the acquisition unit 331 so that the accumulated travel amount is not biased among a plurality of unmanned mobile devices 100 owned by one user. .

The determination unit 334 may select the unmanned mobile device 100 with the least deterioration of the battery based on the deterioration state of the battery. For example, the output unit 335 estimates the unmanned mobile device 100 based on the information indicating the state of deterioration of the battery acquired from each of the plurality of unmanned mobile devices 100 by the acquisition unit 331 .

Further, the determination unit 334 determines the continuous operation time, the continuous operation distance, and the operation state information after the start of operation of the unmanned mobile devices 100 included in the operation state information acquired by the acquisition unit 331 from the plurality of unmanned mobile devices 100 in operation. Based on the speed and the state of the battery mounted on the unmanned mobile device 100 (remaining amount, electricity consumption rate), the deterioration state of the battery of each of the plurality of unmanned mobile devices may be identified. For example, the determination unit 334 identifies the rate at which the remaining battery level decreases with respect to the continuous operation time or the continuous operation distance, and identifies the state of deterioration of the battery based on the identified rate. The determination unit 334 may select the unmanned mobile device 100 with the least deterioration of the specified battery.

Further, the determination unit 334 may select a different unmanned mobile device 100 according to the operation route indicated by the operation reservation received by the reception unit 333 for the next flight, the application, or the like. For example, when the operation route indicated by the operation reservation received by the reception unit 333 for the next flight passes through an urban area, the determination unit 334 receives error information from the unmanned mobile device 100 in the error history information stored in the storage unit 32. The unmanned mobile device 100 shown to have the lowest acquisition frequency may be selected. On the other hand, the determination unit 334 may select the unmanned mobile device 100 with the smallest accumulated operation volume when the operation route included in the operation reservation received by the reception unit 333 for the next flight does not pass through the urban area.

[Transmission of information indicating failure details]
The output unit 335 outputs the You may transmit a body picked-up image etc. to a predetermined contact. The predetermined contact is, for example, an external terminal (not shown) managed by a business that repairs the unmanned mobile device 100 . In this way, the output unit 335 can request the unmanned mobile device 100 repair service provider to diagnose or repair the unmanned mobile device 100 when the unmanned mobile device 100 fails.

[Flow of inspection necessity judgment processing]
FIG. 5 is a flowchart showing a processing procedure for determining whether or not inspection is necessary by the information output device 300. As shown in FIG. The processing procedure of FIG. 5 is started, for example, when the reception unit 333 receives a reservation for operation of the unmanned mobile device 100 .

First, the acquisition unit 331 acquires the device ID for identifying the unmanned mobile device 100 and the operation reservation data from the user terminal 200 . The acquisition unit 331 refers to the operation history information stored in the storage unit 32, and identifies the accumulated operation amount stored in association with the acquired aircraft ID (S11). The specifying unit 332 refers to the device table stored in the storage unit 32 and specifies device information stored in association with the device ID acquired by the acquiring unit 331 (S12). The determination unit 334 selects an inspection threshold corresponding to the device information specified by the specifying unit 332 from among a plurality of inspection thresholds relating to when the unmanned mobile device 100 needs to be inspected (S13).

The determination unit 334 determines whether or not the new cumulative travel amount acquired by the acquisition unit 331 is greater than the selected inspection threshold (S14). When the determination unit 334 determines that the cumulative operation amount is larger than the inspection threshold selected by the determination unit 334 (YES in S14), the operation restriction unit 71 prohibits operation of the unmanned mobile device 100 (S15), and performs processing. exit. On the other hand, when the determination unit 334 determines that the cumulative operation amount is equal to or less than the inspection threshold in the determination of S14 (NO in S14), the operation restriction unit 71 permits operation of the unmanned mobile device 100 (S16).

FIG. 6 is a flowchart showing a processing procedure for selecting the unmanned mobile device 100 by the information output device 300. As shown in FIG. The processing procedure of FIG. 6 is started, for example, when the reception unit 333 receives a reservation for the next operation of the unmanned mobile device 100 .

First, the acquisition unit 331 refers to the user table stored in the storage unit 32, and acquires a plurality of machine IDs stored in association with the terminal IDs acquired by the acquisition unit 331 together with information indicating the operation reservation. . The acquisition unit 331 refers to the operation history information stored in the storage unit 32, and identifies a plurality of accumulated operation amounts corresponding to the acquired aircraft IDs (S21).

The determination unit 334 selects the unmanned mobile device 100 with the smallest acquired cumulative operation amount from among the plurality of unmanned mobile devices 100 corresponding to the plurality of device IDs acquired by the acquisition unit 331 as the unmanned mobile device to be operated next. (S22). The notification unit 73 notifies the user terminal 200 corresponding to the terminal ID acquired by the acquisition unit 331 of the unmanned mobile device 100 selected by the determination unit 334 (S23), and ends the process.

[Effects of the present invention]
The determining unit 334 determines whether or not the accumulated operation amount of the unmanned mobile device 100 is higher than the inspection threshold selected based on the model of the unmanned mobile device 100, the application of the unmanned mobile device 100, or the part information specified by the user. The output unit 335 outputs the determination result to the user terminal 200 . In this way, the information output device 300 can enable the user to grasp whether or not the inspection of the unmanned mobile device 100 has been performed at an appropriate time.

The present invention makes it possible to contribute to Goal 9 of the Sustainable Development Goals (SDGs) led by the United Nations, "Industry and technological innovation."

Although the present invention has been described above using the embodiments, the technical scope of the present invention is not limited to the scope described in the above embodiments, and various modifications and changes are possible within the scope of the gist thereof. be. For example, all or part of the device can be functionally or physically distributed and integrated in arbitrary units. In addition, new embodiments resulting from arbitrary combinations of multiple embodiments are also included in the embodiments of the present invention. The effect of the new embodiment caused by the combination has the effect of the original embodiment.

31 communication unit 32 storage unit 33 control unit 71 operation restriction unit 72 fee setting unit 73 notification unit 100 unmanned mobile device 200 user terminal 300 information output device 331 acquisition unit 332 identification unit 333 reception unit 334 determination unit 335 output unit 336 generation unit

Claims (10)

an acquisition unit that acquires machine identification information that identifies an unmanned mobile device and information that indicates the amount of operation operated by the unmanned mobile device;
Information indicating the model of the unmanned mobile device, the application of the unmanned mobile device, the operation area of the unmanned mobile device, or the parts included in the unmanned mobile device associated with the machine identification information acquired by the acquisition unit an identification unit that identifies certain part information as an attribute of the unmanned mobile device;
a selection unit that selects an inspection threshold corresponding to the attribute identified by the identification unit;
a determination unit that determines whether the cumulative operation amount calculated by accumulating the operation amount is larger than the inspection threshold selected by the selection unit;
an output unit that outputs the determination result of the determination unit;
An information output device. Further comprising an operation restriction unit that prohibits operation of the unmanned mobile device when the determination unit determines that the cumulative operation amount is greater than the inspection threshold selected by the selection unit,
The information output device according to claim 1. The acquisition unit acquires the machine identification information and the cumulative operation amount of each of the plurality of unmanned mobile devices,
further comprising a selection unit that selects the unmanned mobile device to operate next from among the plurality of unmanned mobile devices based on the aircraft identification information and the cumulative operation amount of the plurality of unmanned mobile devices;
3. The information output device according to claim 1 or 2. The determining unit determines whether the frequency of detection of the abnormality is greater than a predetermined frequency threshold based on error history information indicating a history of detection of abnormality of the unmanned mobile device,
The output unit outputs a first determination result obtained by the determination unit as to whether or not the cumulative travel amount is greater than the inspection threshold selected by the selection unit, and the frequency of detection of the abnormality is greater than the frequency threshold. Outputting a second determination result determined by the determination unit as to whether or not it is large;
The information output device according to any one of claims 1 to 3. Elapsed time since the purchase of the unmanned mobile device for which the insurance subscribed by the user of the unmanned mobile device is applied, elapsed time since the previous inspection of the unmanned mobile device, the cumulative operation amount, or a storage unit that stores usage conditions;
a reception unit that receives an operation reservation operated by the unmanned mobile device,
The determination unit determines whether the unmanned mobile device satisfies the condition based on the receipt of the operation reservation by the reception unit.
The information output device according to any one of claims 1 to 4. The acquisition unit acquires a captured image of the unmanned mobile device,
The information output device is
a reception unit that receives input information input by a user of the unmanned mobile device in association with the body captured image;
a transmission control unit that transmits the captured image of the aircraft to a predetermined contact when it is determined that the input information is information indicating details of a failure;
further comprising
The information output device according to any one of claims 1 to 5. further comprising a generation unit that generates an inspection table that associates the model of the unmanned mobile device with the inspection threshold based on statistical information about failures that have occurred in the past in the plurality of unmanned mobile devices;
The identification unit identifies a model of the unmanned mobile device as an attribute of the unmanned mobile device,
The selection unit refers to the inspection table and specifies the inspection threshold corresponding to the model of the unmanned mobile device specified by the specifying unit in the inspection table.
The information output device according to any one of claims 1 to 6. Further comprising a charge setting unit that reduces insurance premiums of insurance that the user of the unmanned mobile device subscribes to when the cumulative travel amount acquired by the acquisition unit is greater than the inspection threshold,
The information output device according to any one of claims 1 to 7. the computer runs
a step of obtaining aircraft identification information for identifying an unmanned mobile device and information indicating an operation amount operated by the unmanned mobile device;
Part information that is information indicating the model of the unmanned mobile device, the use of the unmanned mobile device, the operation area of the unmanned mobile device, or the parts included in the unmanned mobile device associated with the acquired machine identification information. identifying as an attribute of the unmanned mobile device;
selecting an inspection threshold corresponding to the identified attribute;
a step of determining whether or not the cumulative operation amount calculated by accumulating the operation amount is larger than the selected inspection threshold;
a step of outputting a judgment result;
An information output method. to the computer,
a step of obtaining aircraft identification information for identifying an unmanned mobile device and information indicating an operation amount operated by the unmanned mobile device;
Part information that is information indicating the model of the unmanned mobile device, the use of the unmanned mobile device, the operation area of the unmanned mobile device, or the parts included in the unmanned mobile device associated with the acquired machine identification information. identifying as an attribute of the unmanned mobile device;
selecting an inspection threshold corresponding to the identified attribute;
a step of determining whether or not the cumulative operation amount calculated by accumulating the operation amount is larger than the selected inspection threshold;
a step of outputting a judgment result;
The program that causes the to run.

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