Information processing device, information processing method, and information processing program

Abstract

To predict timing to maintain a tire in order to propose a way of using the tire so as to increase the utility value of the tire in consideration of traveling conditions of the tire.SOLUTION: A server 5 comprises: an acquisition unit 501 that acquires tire damage information which pertains to the damage state of a to-be-evaluated tire attached to a mobile body, a strain calculation result which, among strain calculation results prepared for each size of tires, corresponds to the size of the to-be-evaluated tire, and tire travel information which pertains to travelling of the to-be-evaluated tire; a damage calculation unit 502 that calculates the predicted damage progression length of the to-be-evaluated tire during a prediction target period; a reaching time calculation unit 503 that uses the predicted damage progression length to calculate a predicted time required to reach the limit of the damage depth set on the basis of a failure risk of the tire; and a prediction unit 504 that predicts, on the basis of at least one of the travel distance and the damage state of the to-be-evaluated tire, the timing to maintain the to-be-evaluated tire such that the timing does not exceed the predicted reaching time.SELECTED DRAWING: Figure 1

Description

[Technical field]

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

[0002] There are known technologies for detecting information about tire running and managing tires based on the detected information. For example, Patent Document 1 discloses a technology for capturing images of tire sidewalls at regular intervals, predicting the progression of damage from comparison results, and using the prediction results to determine the timing of tire maintenance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2019-204422 A Summary of the Invention [Problem to be solved by the invention]

[0004] However, there are cases where the value of tires is increased by not explicitly suggesting the timing of tire maintenance. For example, it is better to suggest the timing of tire repair when there is still time until the set upper limit of driving time, and to suggest the timing of tire replacement when the upper limit of driving time is approaching.

[0005] The present disclosure has been made in consideration of the above points, and aims to provide an information processing device, an information processing method, and an information processing program capable of predicting the timing of tire maintenance in order to suggest usage methods that can improve the utility value of tires, taking into account the driving conditions of the tires. [Means for solving the problem]

[0006] An information processing device according to a first aspect of the present disclosure includes an acquisition unit that acquires tire damage information related to the damage state of a tire to be evaluated attached to a moving body, a strain calculation result corresponding to the size of the tire to be evaluated from strain calculation results prepared for each tire size, and tire running information related to the running of the tire to be evaluated, a damage calculation unit that calculates a predicted damage progression length of the tire to be evaluated during a prediction target period using the information acquired by the acquisition unit, a reach time calculation unit that calculates a predicted arrival time to a damage depth limit value set based on a tire failure risk from the predicted damage progression length calculated by the damage calculation unit, and a prediction unit that predicts the timing of maintenance of the tire to be evaluated, within a range not exceeding the predicted arrival time, based on at least one of the mileage and damage state of the tire to be evaluated.

[0007] An information processing device according to a second aspect of the present disclosure is the information processing device according to the first aspect, wherein the acquisition unit acquires, as the tire damage information, at least any one of the position of a scratch occurring in the tire to be evaluated, the length of the scratch, the depth of the scratch, the radial angle of the scratch, the depth angle of the scratch, and the branching state of the scratch inside the tire.

[0008] An information processing device according to a third aspect of the present disclosure is the information processing device according to the first aspect, wherein the prediction unit predicts the timing of repair or replacement of the tire to be evaluated based on information on the depth of scratches that require maintenance, which corresponds to at least one of the mileage and damage state of the tire to be evaluated.

[0009] An information processing device according to a fourth aspect of the present disclosure is the information processing device according to the third aspect, wherein the depth of the scratch that requires the maintenance has an upper limit and a lower limit.

[0010] An information processing device according to a fifth aspect of the present disclosure is the information processing device according to the first aspect, wherein the prediction unit predicts a timing for maintenance of the tire to be evaluated based on a mileage and a damage state of the tire to be evaluated.

[0011] An information processing device according to a sixth aspect of the present disclosure is the information processing device according to the first aspect, wherein the prediction unit classifies the tire to be evaluated based on at least one of the mileage and damage state of the tire to be evaluated, determines a maintenance method according to the classification, and predicts the timing of maintenance of the tire to be evaluated based on the depth of the damage that requires the determined maintenance.

[0012] An information processing device according to a seventh aspect of the present disclosure is the information processing device according to the first aspect, wherein the prediction unit sets a target mileage from at least past driving records of the tire to be evaluated, and determines a maintenance method for the tire to be evaluated based on the target mileage.

[0013] An information processing device according to an eighth aspect of the present disclosure is the information processing device according to the first aspect, wherein the acquisition unit acquires planning data relating to a pre-set plan for maintenance, and the prediction unit compares the planning data with the timing of maintenance of the tire to be evaluated obtained by prediction to determine a maintenance method for the tire to be evaluated.

[0014] An information processing device according to a ninth aspect of the present disclosure is the information processing device according to the first aspect, wherein a usage fee is set for the tire to be evaluated based on at least one of a driving period and a driving distance, and the prediction unit predicts the timing of maintenance for the tire to be evaluated based on at least one of the driving period and the driving distance.

[0015] An information processing method according to a tenth aspect of the present disclosure is an information processing device according to the first aspect, wherein a processor acquires tire damage information relating to the damage state of a tire to be evaluated attached to a moving body, a strain calculation result corresponding to the size of the tire to be evaluated from strain calculation results prepared for each tire size, and tire running information relating to the running of the tire to be evaluated, and uses the acquired information to calculate a predicted scratch progression length for the tire to be evaluated during a prediction period, calculates a predicted arrival time to a scratch depth limit value set based on the risk of tire failure from the calculated predicted scratch progression length, and predicts the timing of maintenance of the tire to be evaluated within a range not exceeding the predicted arrival time based on at least one of the mileage and damage state of the tire to be evaluated.

[0016] An information processing program according to an eleventh aspect of the present disclosure is an information processing device according to the first aspect, which causes a computer to execute a process of acquiring tire damage information related to the damage state of a tire to be evaluated attached to a moving body, a strain calculation result corresponding to the size of the tire to be evaluated from strain calculation results prepared for each tire size, and tire running information related to the running of the tire to be evaluated, calculating a predicted scratch progression length of the tire to be evaluated during a prediction target period using the acquired information, calculating a predicted arrival time to a scratch depth limit value set based on a tire failure risk from the calculated predicted scratch progression length, and predicting the timing of maintenance of the tire to be evaluated within a range not exceeding the predicted arrival time based on at least one of the mileage and damage state of the tire to be evaluated. Effect of the Invention

[0017] According to the present disclosure, it is possible to provide an information processing device, an information processing method, and an information processing program capable of predicting the timing of tire maintenance in order to propose a use method that can improve the utility value of the tire based on the driving conditions of the tire. [Brief description of the drawings]

[0018] [Figure 1]1 is a block diagram showing a schematic configuration of an information processing system according to an embodiment. [Diagram 2] FIG. 2 is a block diagram of a moving object. [Diagram 3] FIG. 1 is a cross-sectional view showing an example of a tire structure. [Figure 4] FIG. 2 is a block diagram showing an example of an electrical configuration of a user terminal. [Diagram 5] FIG. 2 is a block diagram showing an example of an electrical configuration of the server device. [Figure 6] FIG. 2 illustrates an example of a functional configuration of a server device. [Figure 7] FIG. 11 is a diagram showing an example of information regarding the timing of tire maintenance. [Figure 8] 10 is a flowchart showing an example of a process flow of a server device. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0019] Hereinafter, an embodiment for implementing the technology of the present disclosure will be described in detail with reference to the drawings. Note that components and processes that have the same action and function are given the same reference numerals throughout the drawings, and duplicated descriptions may be omitted as appropriate. In addition, the present disclosure is not limited to the following embodiments, and can be implemented with appropriate modifications within the scope of the purpose of the present disclosure.

[0020] <Information processing system> Fig. 1 shows a schematic configuration of an information processing system 1 according to an embodiment. The information processing system 1 is a system that collects information related to tires attached to a moving object 2, such as a vehicle traveling in a mine, and performs processing related to the tire condition of the tire. As shown in Fig. 1, the information processing system 1 includes a user terminal 3 and a server device (hereinafter referred to as "server") 5 that operates as an information processing device. The server 5 is an example of an information processing device of the present disclosure.

[0021] The user terminal 3 and the server 5 are connected to each other via a network 6. The network 6 is any network that can be connected by wire or wirelessly, such as a telephone line, a LAN, a WAN, the Internet, a wide area Ethernet network, etc. The network 6 may be configured to connect the mobile body 2 to a communication device (not shown) equipped on the mobile body 2 so that information can be exchanged with the mobile body 2.

[0022] The information processing system 1 may be realized by including a configuration of a network environment including a virtual network in which a part of the network and a part or all of the devices are virtualized on a virtual space called a cloud. For example, the server 5 may be formed on a virtual space called a cloud, and a client terminal known as a client-server system may be connected to the server 5 via a network 6 to operate the server 5. In addition, in order to ensure redundancy of the information processing system 1, a plurality of servers 5 may be connected via a network.

[0023] Also, FIG. 1 shows an example in which a user terminal 3 is connected to the network 6. The present disclosure is not limited to a case in which one user terminal 3 is connected to the network, and multiple terminal devices may be connected as the user terminal 3. For example, the user terminal 3 may include one or more terminals provided within the same company or base. As an example of multiple user terminals 3, a worker terminal used by a user who is a worker performing work related to moving objects and tires, a manager terminal used by a user who is a manager who manages the work, and a supervisor terminal used by a user who is a supervisor who manages the work may be provided and linked together.

[0024] In this disclosure, the term "tire" refers to a concept including an elastically deformable member attached to a moving body such as a vehicle and which is detachable from the moving body. The tire includes a pneumatic tire. The tire can indicate its tire condition by "tire-related parameters." The "tire-related parameters" include tire damage information, tire heat information, and tire running information.

[0025] The tire damage information is information on the damage state of the tire attached to the moving object 2. The tire damage information includes at least one of the position of the damage generated on the tire, the length of the damage, the depth of the damage, the angle of the damage in the tire radial direction, the angle of the damage in the depth direction, and the branching state of the damage inside the tire. The tire damage information may be obtained by periodically taking images of the tire based on a logo or the like engraved on the side of the tire and creating a map of the damage generated by analyzing the images. In addition to a normal camera, a device capable of acquiring thermographic images may be used to acquire the images. Since the damaged portion tends to be hotter than the surrounding area due to the influence of the temperature inside the tire, the use of thermography has the advantage of making it easier to detect even scratches that are not noticeable due to dust and dirt attached to the surface of the tire. The tire damage information may also be obtained by an inspector inspecting the tire.

[0026] The tire running information is an example of a physical quantity that indicates a tire condition related to tire running, and is a concept that includes at least one of the amount of running of the tire and the amount of change in the tire structure that changes due to the running of the tire.

[0027] For example, the tire travel information may include information such as the travel time, travel distance, and tire rotation count of the tire as the travel amount of the tire, and other examples of the change in the tire structure may include the shape, size, and depth of the grooves provided in the tire, the thickness of the tire tread, and the degree of wear of the tire tread, such as uneven wear. The tire travel information is preferably applied with the travel time or travel distance of the tire. As the measurement unit for measuring the tire travel information, for example, a known sensor that can measure at least one of the travel time and distance of the tire by sensing the rotation of the tire can be used. For the travel distance, for example, a record of a GPS may be used.

[0028] The tire heat information is an example of a physical quantity that indicates the tire condition related to the heat of the tire, and is a concept that includes at least the temperature of the tire. The tire heat information can include the internal pressure, such as the air pressure of a pneumatic tire, and the internal temperature of the pneumatic tire. That is, the tire heat information can apply, for example, a physical quantity that indicates the thermal state of a tire constituent member. Examples of tire constituent members are members such as beads, carcass, belts, and tread rubber. In addition, the physical quantity that indicates the thermal state of a tire constituent member can apply, for example, the temperature of the tire constituent member.

[0029] Generally, the temperature of a tire during running differs for each component. The temperature of each tire component can be calculated, for example, by attaching a sensor for measuring temperature in a chamber (i.e., the space between the inner surface of the tire and the rim wheel), measuring the temperature in the chamber, and converting the measured temperature in the chamber into the temperature of each tire component. For example, by using a predetermined calculation formula to convert the temperature in the chamber into the temperature of each tire component (tread, belt, bead, etc.), the temperature of the component (tread, belt, bead, etc.) can be calculated from the measured temperature in the chamber. In addition, the temperature of each tire component such as the tread, belt, bead, etc. can also be calculated by adding a certain constant based on past data to the measured temperature in the chamber.

[0030] Alternatively, the tire temperature can be predicted by known prediction methods depending on the surrounding environment of the tire and the tire running conditions.

[0031] <Mobile object> Fig. 2 shows an example of a moving object 2 from which tire-related parameter values ​​including tire heat information and tire running information are acquired. Fig. 2 conceptually shows a configuration including an in-vehicle device 24 that collects information related to tires.

[0032] In this embodiment, the moving body 2 is provided with six tires 20 in total, one each on the front left and right and two each on the rear left and right. The tire 20 is an example of an evaluation target tire in the present disclosure. The tire 20 is provided with a sensor module 22. The sensor module 22 measures the tire state, that is, acquires and transmits values ​​of tire-related parameters. The sensor module 22 may measure tire heat information and tire running information. In this embodiment, the sensor module 22 is capable of measuring and transmitting at least tire heat information. In addition, in FIG. 2, the tire 20 and the sensor module 22 are given symbols according to their positions on the moving body 2. That is, the tire provided on the front right side of the moving body 2 in the traveling direction is indicated as tire 20 (FR), and the tire provided on the front left side is indicated as tire 20 (FL). In addition, for the two tires 20 provided on the rear right side, the outer tire is indicated as tire 20 (BRO) and the inner tire is indicated as tire 20 (BRI). Similarly, of the two tires 20 provided on the rear left side, the outer tire is indicated as tire 20 (BLO) and the inner tire is indicated as tire 20 (BLI). In the following explanation, symbols are used when describing the position of the tires on the moving body 2, but otherwise the tires 20 and sensor module 22 are collectively referred to.

[0033] In this embodiment, the moving body 2 is described as having six tires 20, but the technology of the present disclosure is not limited to this. For example, it is applicable to a moving body 2 having three or more tires 20. It is preferably applicable to a moving body 2 having four to ten tires 20, and is also applicable to a moving body 2 having ten or more tires 20. In addition, the arrangement of the tires 20 on the moving body 2 is not limited to an equal number of tires on the left and right, and the number may be determined according to the position of the tires 2 relative to the moving body 2. Furthermore, the arrangement of the tires 20 is not limited to front-rear and left-right. For example, the tire 20 may be arranged in the center between at least one of the front-rear and left-right.

[0034] The moving object 2 is equipped with an on-board device 24 that collects and transmits values ​​of tire-related parameters (temperature data indicating tire heat information in this embodiment). The on-board device 24 acquires information from each sensor module 22. The sensor module 22 is attached to the wheel of the tire 20, or inside the tire, or on the vehicle body outside the tire, and measures at least the temperature of the tire 20 and transmits the measured temperature data to the on-board device 24.

[0035] The vehicle-mounted device 24 receives the temperature data of each tire sent from the sensor module 22, and controls the transmission of the tire temperature data associated with the mounting position of the tire to the outside of the moving object 2. The mounting position of the tire can be specified from a correspondence table that associates the mounting position of the tire with the unique identification code of the sensor module 22 of the tire. The vehicle-mounted device 24 includes an electronic control unit (Electric Control Unit / ECU), a transmitting / receiving unit, and a memory (not shown). The memory (not shown) can record the correspondence table that associates the mounting position of the tire with the unique identification code of the sensor module 22, and information from the sensor module 22 (temperature data of the tire 20) as a log. The vehicle-mounted device 24 can have a function of outputting the log recorded in the memory (not shown) to the outside of the moving object 2.

[0036] In this embodiment, a case will be described in which the vehicle-mounted device 24 acquires and records temperature data from the sensor module 22 and outputs the temperature data to the outside of the moving object 2, but the present disclosure is not limited to this. For example, data from the sensor module 22 may be output directly to an external device such as the server 5 via the network 6 without going through the vehicle-mounted device 24. In this case, the correspondence table related to the sensor module 22 may also be stored in a device included in the information processing system 1 (for example, the server 5) without being stored in the vehicle-mounted device 24.

[0037] Furthermore, the tire temperature data is provided with time information when the data is transmitted from the sensor module 22. This makes it possible to identify the date and time of the tire temperature data.

[0038] Furthermore, the vehicle-mounted device 24 may acquire and transmit at least one of the tire travel amount (e.g., tire travel time, travel distance, tire rotation count, etc.) and the amount of change in tire structure as tire travel information. Note that this tire travel information is not limited to being acquired by the vehicle-mounted device 24. For example, it may be acquired by measuring with an external device of the moving object 2.

[0039] Fig. 3 shows a cross-sectional view of an example of the configuration of the tire 20. Fig. 3 shows a tire tread portion TR, a tire belt BL, and a carcass CS as typical tire components of the tire 20. Values ​​of tire-related parameters of the tire 20 (e.g., the running time of the tire 20, temperature data of the tire 20) are measured by a measuring unit 34 such as a measuring device or a sensor module 22.

[0040] <User device> Next, an example of the configuration of a terminal in the information processing system 1 according to the embodiment will be described.

[0041] The user terminal 3 is a terminal device provided at a base where processing is performed on a tire attached to a moving object 2 such as a vehicle (for example, a management base where the condition of the tire is managed). A user who operates the user terminal 3 performs processing on the tire based on the tire condition of the tire. The user terminal 3 transmits information related to the tire (i.e., tire heat information and tire-related parameter values ​​including tire driving information) to the server 5, and receives a reply from the server 5 as a response thereto. The user terminal 3 can be a general-purpose computer device such as a personal computer (PC: Personal Computer).

[0042] The user terminal 3 includes a computer main unit 30, which includes a CPU 30A, a RAM 30B, a ROM 30C, and an I / O 30D, which are connected to one another via a bus 30E. An auxiliary storage device 35, which can be realized by a HDD, a non-volatile flash memory, or the like, is connected to the bus 30E. Also, a communication unit 31 that communicates with an external device, an input unit 32 through which the user inputs data, and a display unit 33 through which the user checks the data are connected to the I / O 30D.

[0043] A user terminal program 35P can be stored in the auxiliary storage device 35. The user terminal 3 reads the user terminal program 35P from the auxiliary storage device 35, loads it in the RAM 30B, and executes processing. As a result, the user terminal 3 that executes the user terminal program 35P operates as a device that performs processing on the tire condition of tires in the store. The user terminal program 35P may be provided by a recording medium such as a CD-ROM.

[0044] In addition, the auxiliary storage device 35 stores various data 35D used by the user terminal 3.

[0045] The communication unit 31 is capable of acquiring tire information (values ​​of tire-related parameters), that is, temperature data which is heat information of the tires, from the vehicle-mounted device 24 of the moving object 2 via a wired or wireless connection.

[0046] A measurement unit 34 that measures tire conditions can be connected to the I / O 30D. The measurement unit 34 is a measuring device that measures tire running information (values ​​of tire-related parameters).

[0047] It is not essential that the measurement unit 34 is connected to the user terminal 3. For example, instead of the measurement unit 34, the user may measure the tire condition and input it from the input unit 32.

[0048] <Server> Next, an example of the configuration of the server 5 will be described with reference to FIG. 5. The server 5 is an example of a server device that is connected to the network 6 and has a function of acquiring information related to the tire from the user terminal 3, i.e., tire heat information and tire running information (values ​​of tire-related parameters), and transmitting information to assist processing of the tire. The server 5 includes a computer main body 50, which includes a CPU 50A, a RAM 50B, a ROM 50C, and an I / O 50D, which are connected to each other via a bus 50E. An auxiliary storage device 55 is connected to the bus 50E. In addition, a communication unit 51 that communicates with devices on the network 6, an input unit 52 for inputting data by a user, and a display unit 53 are connected to the I / O 50D. Note that, when the server 5 is configured to be operable by a client terminal (not shown), the input unit 52 and the display unit 53 are not essential components.

[0049] The auxiliary storage device 55 stores various data 55D used by the server 5. The auxiliary storage device 55 also stores a table 55T indicating information for supporting processing for tires, and a server program 55P. The table 55T will be described later.

[0050] The server 5 reads the server program 55P from the auxiliary storage device 55, expands it in the RAM 50B, and executes processing. The server 5 that executes the server program 55P operates as an information processing device that outputs information to assist processing for the tire in response to information from the user terminal 3. The server 5 according to this embodiment outputs information related to the timing of maintenance of the tire 20 as information to assist processing for the tire 20. Note that maintenance of the tire 20 refers to either repair or replacement of the tire 20.

[0051] Since the moving object 2 travels through a mine, the tire 20 may be damaged due to, for example, stepping on a stone while traveling. If the damaged tire 20 is left as is, there is a risk that the tire 20 will eventually become inoperable and will need to be replaced. If the tire 20 becomes inoperable, the moving object 2 will no longer be able to move on its own, and transportation by the moving object 2 will no longer be possible until the tire 20 that is no longer inoperable is replaced with a new tire 20, resulting in a decrease in productivity.

[0052] In addition, the tire 20 provided on the moving object 2 may be set with a fee based on at least one of the driving period and the driving distance. For example, a lease period may be set for the tire 20 to be rented out as a leased item. That is, it is assumed that the tire 20 is provided on the moving object 2 and used during the set lease period. However, since the moving object 2 travels through a mine, the tire 20 may be damaged due to, for example, stepping on a stone while traveling. If the damaged tire 20 is left as it is, the tire 20 may no longer be in a condition to be driven before the lease period ends, and replacement may become necessary. For example, even if the lease period is set to 1000 hours, if the tire 20 needs to be replaced at 500 hours before the lease period ends, the value of the tire 20 for the business entity leasing the tire will be lost.

[0053] The server 5 according to the present embodiment predicts and proposes the timing of maintenance of the tire 20. The server 5 predicts and proposes the timing of maintenance of the tire 20, thereby preventing a decrease in productivity and a decrease in utility value.

[0054] Fig. 6 is a block diagram showing an example of a functional configuration of the server 5 according to the present embodiment. As shown in Fig. 6, the CPU 50A of the server 5 functions as an information processing device of the present disclosure by executing a server program 55P. The server 5 includes an acquisition unit 501, a flaw calculation unit 502, a travel time calculation unit 503, and a prediction unit 504.

[0055] The acquisition unit 501 acquires tire damage information related to the damage state of the tire 20 attached to the moving object 2, a strain calculation result corresponding to the size of the tire 20 from among the strain calculation results prepared for each size of the tire 20, and tire running information related to the running of the tire 20. The acquisition unit 501 may acquire at least one of the following as the tire damage information: the position of a scratch generated in the tire 20, the length of the scratch, the depth of the scratch, the angle of the scratch in the tire radial direction, the angle of the scratch in the depth direction, and the branching state of the scratch inside the tire. The strain calculation results prepared for each size of the tire 20 are stored in, for example, a table 55T. The acquisition unit 501 may also acquire plan data related to a plan previously set for the maintenance of the tire 20.

[0056] The scratch calculation unit 502 uses the information acquired by the acquisition unit 501 to calculate a predicted scratch progression length, which is a length by which a scratch is predicted to progress during the prediction target period of the tire 20. Specifically, the scratch calculation unit 502 uses the information acquired by the acquisition unit 501 to calculate a scratch progression length, which is a length by which a scratch will progress per one rotation of the tire 20. Furthermore, the scratch calculation unit 502 calculates the total number of rotations of the tire 20 during the prediction target period, using the information acquired by the acquisition unit 501. Then, the scratch calculation unit 502 multiplies the scratch progression length per one rotation by the total number of rotations during the prediction target period to calculate a predicted scratch progression length, which is a length by which a scratch is predicted to progress during the prediction target period of the tire 20.

[0057] The arrival time calculation unit 503 calculates, from the predicted damage progression length calculated by the damage calculation unit 502, a predicted arrival time to a limit value of the damage depth that is set based on the risk of tire failure.

[0058] The prediction unit 504 predicts the timing of maintenance of the tire 20 to be evaluated within a range not exceeding the predicted arrival time calculated by the arrival time calculation unit 503, based on at least one of the mileage and the damage state of the tire 20 to be evaluated. The prediction unit 504 may predict the timing of repair or replacement of the tire 20 to be evaluated based on information on the depth of the damage that requires maintenance, which corresponds to at least one of the mileage and the damage state of the tire 20 to be evaluated. In this case, the depth of the damage that requires maintenance has an upper limit and a lower limit. By setting an upper limit for the depth of the damage, it is possible to avoid a situation in which the effect is small or the maintenance leads to a disadvantage, taking into account the distance that can be traveled after the maintenance, the cost of the maintenance, and the impact on the vehicle operation. In addition, by setting a lower limit for the depth of the damage, it is possible to avoid disadvantages such as the impact on the vehicle operation caused by performing maintenance in a situation in which the damage is shallow and maintenance is not yet necessary or the effect is small. Furthermore, in the case where a usage fee is set for the tire 20 based on at least one of the driving period and the usage amount (mileage, etc.), the prediction unit 504 may predict the timing of maintenance of the tire 20 to be evaluated based on at least one of the driving period and the usage amount. For example, in the case where a lease period is set for the tire 20, the prediction unit 504 may predict or determine the timing of maintenance of the tire 20 to be evaluated based on the lease period. Note that the present disclosure can be applied to services other than leasing, such as rentals and subscriptions, in which a driving period or usage amount is determined and a fee is charged to the user by a fixed amount or a pay-per-use fee, or a service in which a fee is charged to the user by a mix of these.

[0059] The server 5 transmits information regarding the timing of maintenance of the tire 20 predicted by the prediction unit 504 to the user terminal 3. The user terminal 3 acquires the information regarding the timing of maintenance of the tire 20 predicted by the server 5, and displays it on the display unit 33.

[0060] FIG. 7 is a diagram showing an example of information related to the timing of tire 20 maintenance predicted by the prediction unit 504. The serial number column is a column in which a number identifying the tire 20 is stored. The status column is a column in which a status of the tire 20 is stored. The vehicle number column is a column in which a number identifying the vehicle on which the tire 20 is mounted is stored. The position column is a column in which a number corresponding to the position of the vehicle on which the tire 20 is mounted is stored. For example, when the tire 20 is mounted on the moving object 2 as shown in FIG. 2, FR may be 1, FL may be 2, BRO may be 3, BRI may be 4, BLO may be 5, and BLI may be 6. The remaining time column is a column in which the remaining time until the tire 20 maintenance is performed is stored. The recommended content column is a column in which a recommended maintenance method is stored. The recommended date is a column in which a date on which the tire 20 maintenance is recommended is stored. The predicted running time column is a column in which a running time predicted when the tire 20 maintenance is performed is stored.

[0061] By displaying the information shown in FIG. 7 on the display unit 33, the manager of the tire 20 can propose appropriate maintenance timing to the user of the tire 20.

[0062] By having such a configuration, the server 5 can predict the maintenance timing of the tire 20 in order to propose a use method that can improve the utility value of the tire 20, taking into account the driving conditions of the tire 20.

[0063] When predicting the timing of maintenance of the tire 20 to be evaluated, the prediction unit 504 may classify the tire 20 based on at least one of the mileage and the damage state of the tire 20, determine a maintenance method according to the classification, and predict the timing of maintenance of the tire 20 based on the depth of damage that requires the determined maintenance. For example, the prediction unit 504 may classify the tires 20 into those whose mileage is less than a predetermined threshold and those whose mileage is equal to or greater than a predetermined threshold, and determine repair as the maintenance method for tires whose mileage is less than the threshold, and determine replacement as the maintenance method for tires whose mileage is equal to or greater than the threshold. Then, the prediction unit 504 may predict the timing of repair or replacement of the tire 20 based on the determined depth of damage that requires the maintenance.

[0064] The prediction unit 504 may set a target mileage from at least the past mileage record of the tire 20 to be evaluated, and determine a maintenance method for the tire 20 to be evaluated based on the target mileage.

[0065] The prediction unit 504 may compare the timing of maintenance of the evaluation target tire 20 obtained by prediction with planning data related to a preset plan for maintenance, and determine a maintenance method for the evaluation target tire 20. Here, the acquisition unit 501 may acquire the above-mentioned planning data.

[0066] (Information Processing) Next, the information processing executed in the information processing system 1 will be described, focusing on the processing executed in the server 5.

[0067] Fig. 8 is a flowchart showing an example of the flow of server processing executed in the server 5. The processing routine shown in Fig. 8 is an example of the flow of processing of the server program 55P stored in the server 5. The processing routine shown in Fig. 8 is executed by the CPU 50A in the server 5.

[0068] The information processing shown in FIG. 8 is an example of processing executed by an information processing method and an information processing program according to the present disclosure.

[0069] In step S101, the CPU 50A, as the acquisition unit 501, acquires tire damage information regarding the damage state of the tire 20 attached to the moving body 2, a strain calculation result corresponding to the size of the tire 20 from the strain calculation results prepared for each size of the tire 20, and tire driving information regarding the driving of the tire 20.

[0070] Following step S101, in step S102, the CPU 50A, as the flaw calculation unit 502, uses the information acquired in step S101 to calculate a predicted flaw progression length, which is a length by which a flaw is predicted to progress during the prediction target period of the tire 20. Specifically, the CPU 50A, as the flaw calculation unit 502, uses the information acquired in step S101 to calculate a flaw progression length, which is a length by which a flaw will progress per one rotation of the tire 20. Furthermore, the CPU 50A, as the flaw calculation unit 502, calculates the total number of rotations of the tire 20 during the prediction target period using the information acquired in step S101. Then, the CPU 50A, as the flaw calculation unit 502, multiplies the flaw progression length per one rotation by the total number of rotations during the prediction target period to calculate a predicted flaw progression length, which is a length by which a flaw is predicted to progress during the prediction target period of the tire 20.

[0071] Following step S102, in step S103, the CPU 50A, as the arrival time calculation unit 503, calculates a predicted arrival time to the limit value of the scratch depth set based on the tire failure risk, from the predicted scratch progression length calculated in step S102.

[0072] Following step S103, in step S104, the CPU 50A, as the prediction unit 504, predicts the timing of maintenance for the tire 20 being evaluated based on at least one of the mileage and the damage state of the tire 20 being evaluated, within a range not exceeding the predicted arrival time calculated in step S103.

[0073] By executing this process, the server 5 can predict the maintenance timing of the tire 20 in order to propose a use method that can improve the utility value of the tire 20, taking into account the driving conditions of the tire 20. By the server 5 predicting the maintenance timing of the tire 20, the information processing system 1 according to the embodiment of the present disclosure can instruct appropriate work and processing according to the condition of the tire, and can support the user.

[0074] Although the technology of the present disclosure has been described above using the embodiments, the technical scope of the technology of the present disclosure is not limited to the scope described in the above embodiments. Various modifications or improvements can be made to the above embodiments without departing from the gist of the technology, and the forms with such modifications or improvements are also included in the technical scope of the disclosed technology.

[0075] In the above embodiment, the processing is performed by executing the program stored in the auxiliary storage device, but at least a part of the processing of the program may be realized by hardware. The flow of the processing of the program described in the above embodiment is also an example, and unnecessary steps may be deleted, new steps may be added, or the processing order may be changed without departing from the scope of the invention.

[0076] Furthermore, in order to cause a computer to execute the processing in the above-described embodiment, a program describing the above-described processing in code that can be processed by a computer may be stored on a storage medium such as an optical disk and distributed.

[0077] In the above-described embodiment, a CPU has been used as an example of a general-purpose processor. However, in the above-described embodiment, the term "processor" refers to a processor in a broad sense, and includes general-purpose processors (e.g., CPU: Central Processing Unit, etc.) and dedicated processors (e.g., GPU: Graphics Processing Unit, ASIC: Application Specific Integrated Circuit, FPGA: Field Programmable Gate Array, programmable logic device, etc.).

[0078] Furthermore, the operations of the processors in the above-described embodiments may not only be performed by a single processor, but may also be performed by multiple processors working together, or may be performed by multiple processors located at physically separate locations working together.

[0079] All publications, patent applications, and standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or standard was specifically and individually indicated to be incorporated by reference. [Explanation of symbols]

[0080] 1. Information Processing Systems 2. Mobile 3. User terminal 5 Server 6 Network 20 Tires 22 Sensor Module 24 Onboard equipment 50 Computer main unit 51 Communications Department 52 Input section 53 Display section 55 Auxiliary storage device 55D Data 55P Server program 55T Table

Claims

1. an acquisition unit that acquires tire damage information related to a damage state of an evaluation target tire attached to a moving body, a strain calculation result corresponding to the size of the evaluation target tire from among strain calculation results prepared for each tire size, and tire running information related to the running of the evaluation target tire; a damage calculation unit that calculates a predicted damage progression length of the evaluation target tire during a prediction target period using the information acquired by the acquisition unit; a time-to-arrival calculation unit that calculates a time to reach a limit value of the depth of the scratch based on a risk of tire failure, from the predicted scratch progression length calculated by the scratch calculation unit; a prediction unit that predicts a timing of maintenance of the tire to be evaluated based on at least one of a mileage and a damage state of the tire to be evaluated within a range not exceeding the predicted arrival time; An information processing device comprising:

2. 2. The information processing device according to claim 1, wherein the acquisition unit acquires, as the tire damage information, at least one of a position of a scratch occurring in the tire to be evaluated, a length of the scratch, a depth of the scratch, an angle of the scratch in a radial direction of the tire, an angle of the scratch in a depth direction, and a branching state of the scratch inside the tire.

3. 2 . The information processing device according to claim 1 , wherein the prediction unit predicts the timing of repair or replacement of the tire to be evaluated based on information on a depth of damage that requires maintenance, the depth corresponding to at least one of a mileage and a damage state of the tire to be evaluated.

4. The information processing apparatus according to claim 3 , wherein the depth of the scratch at which maintenance is required has an upper limit and a lower limit.

5. The information processing device according to claim 1 , wherein the prediction unit predicts a timing for maintenance of the tire to be evaluated based on a mileage and a damage state of the tire to be evaluated.

6. 2. The information processing device according to claim 1, wherein the prediction unit classifies the tires to be evaluated based on at least one of a mileage and a damage state of the tires to be evaluated, determines a maintenance method according to the classification, and predicts a timing for maintenance of the tires to be evaluated based on a depth of damage that requires the determined maintenance.

7. The information processing device according to claim 1 , wherein the prediction unit sets a target mileage from at least a past driving record of the tire to be evaluated, and determines a maintenance method for the tire to be evaluated based on the target mileage.

8. The acquisition unit acquires plan data regarding a preset plan regarding maintenance, The information processing device according to claim 1 , wherein the prediction unit determines a maintenance method for the tire to be evaluated by comparing the planning data with a maintenance timing for the tire to be evaluated obtained by prediction.

9. A usage fee is set for the tire to be evaluated based on at least one of a running period and a running distance, The information processing device according to claim 1 , wherein the prediction unit predicts a timing of maintenance of the evaluation target tire based on at least one of the running period and the running distance.

10. The processor: obtain tire damage information relating to a damage state of an evaluation target tire attached to a moving body, a strain calculation result corresponding to the size of the evaluation target tire from among strain calculation results prepared for each tire size, and tire running information relating to the running of the evaluation target tire; Using the acquired information, a predicted scratch progression length during a prediction target period of the tire to be evaluated is calculated; Calculating a predicted time to reach a limit value of the scratch depth set based on a tire failure risk from the calculated predicted scratch progression length; Based on at least one of the mileage and the damage state of the tire to be evaluated, the timing of maintenance of the tire to be evaluated is predicted within a range not exceeding the predicted arrival time. Information processing methods.

11. On the computer, obtain tire damage information relating to a damage state of an evaluation target tire attached to a moving body, a strain calculation result corresponding to the size of the evaluation target tire from among strain calculation results prepared for each tire size, and tire running information relating to the running of the evaluation target tire; Using the acquired information, a predicted scratch progression length during a prediction target period of the tire to be evaluated is calculated; Calculating a predicted time to reach a limit value of the scratch depth set based on a tire failure risk from the calculated predicted scratch progression length; Based on at least one of the mileage and the damage state of the tire to be evaluated, the timing of maintenance of the tire to be evaluated is predicted within a range not exceeding the predicted arrival time. An information processing program that executes processing.

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