Deterioration state determination method and deterioration state determination device

Abstract

To provide a deterioration state determination method and a deterioration state determination device capable of making an appropriate proposal when re-treading.SOLUTION: In a deterioration state determination method, a deterioration state determination device determines a deterioration state of a tire based on the color of an indicator attached to the tire mounted on a vehicle. The deterioration state determination method includes: a deterioration determination step of determining a deterioration state of the tire based on a color change database including data indicating a relationship between a change in color of the indicator and an amount of deterioration factors, and color components extracted from an image of the indicator attached to the tire, using a degradation determination model which uses the amount of degradation factors degrading the tire as an input and an index of the deterioration state of the tire as an output; and proposal steps (S44-S48) of proposing an option which is at least one of selectable method and product when re-treading the tire based on the determined deterioration state of the tire.SELECTED DRAWING: Figure 9

Description

[Technical field]

[0001] The present disclosure relates to a degradation state determination method and a degradation state determination device. [Background technology]

[0002] In recent years, with the development of the sharing economy in the transportation industry and the expanded use of retread tires, technology for grasping the deterioration state of tires has been attracting attention. For example, Patent Document 1 discloses a tire in which the limit of use is clearly indicated by the difference in the degree of discoloration between the character part and the background part when the display part is exposed to light. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2006-273260 A Summary of the Invention [Problem to be solved by the invention]

[0004] However, the technology of Patent Document 1 displays the expiration date of a tire that is stamped in advance, and the accuracy is insufficient to be used as an objective indicator of the deterioration state of the tire and the rubber components that constitute the tire. It is preferable to make a proposal to suppress deterioration based on the deterioration state of the tire when retreading, but the accuracy of the conventional technology is insufficient, making it difficult to make appropriate proposals.

[0005] An object of the present disclosure, made in consideration of the above circumstances, is to provide a degradation state determination method and degradation state determination device that are capable of making appropriate suggestions when retreading. [Means for solving the problem]

[0006] A deterioration state determination method according to one embodiment of the present disclosure is a deterioration state determination method in which a deterioration state determination device determines the deterioration state of a tire based on the color of an indicator attached to a tire mounted on a vehicle, and includes a deterioration determination step of determining the deterioration state of the tire based on a color change database containing data indicating the relationship between the color change of the indicator and the amount of the deterioration factor and color components extracted from an image of the indicator attached to the tire, using a deterioration determination model in which the amount of a deterioration factor that deteriorates the tire is input and an index of the deterioration state of the tire is output, and a proposal step of proposing options, which are at least one of methods and products that can be selected when retreading the tire, based on the determined deterioration state of the tire. This configuration allows for appropriate suggestions when retreading tires.

[0007] In one embodiment of the present disclosure, the suggesting step suggests the options depending on a primary degradation of the tire, and distinguishes at least heat, oxygen, water, ultraviolet light or ozone as the primary degradation. This configuration makes it possible to propose more appropriate retread options tailored to the driving environment of the vehicle on which the tire is mounted.

[0008] In one embodiment of the present disclosure, the indicator has a pattern in which a plurality of colors are arranged. With this configuration, it is possible to identify the deterioration factors of a tire even if the tire is dirty, for example.

[0009] In one embodiment of the present disclosure, the suggesting step further suggests the options based on at least one of information on the amount of wear of the tires and information from a user. This configuration makes it possible to provide suggestions that are more suited to the vehicle's driving conditions and the user's wishes.

[0010] A deterioration state determination device according to one embodiment of the present disclosure is a deterioration state determination device that determines the deterioration state of a tire mounted on a vehicle based on the color of an indicator attached to the tire, and includes: a deterioration determination unit that determines the deterioration state of the tire using a deterioration determination model that takes the amount of a deterioration factor that deteriorates the tire as an input and outputs an index of the deterioration state of the tire, based on a color change database configured to include data indicating the relationship between the color change of the indicator and the amount of the deterioration factor and color components extracted from an image of the indicator attached to the tire; and a proposal unit that proposes options, which are at least one of methods and products that can be selected when retreading the tire, based on the determined deterioration state of the tire. This configuration allows for appropriate suggestions when retreading tires. Effect of the Invention

[0011] According to the present disclosure, it is possible to provide a deterioration state determination method and deterioration state determination device that are capable of making appropriate suggestions when retreading. [Brief description of the drawings]

[0012] [Figure 1] FIG. 1 is a diagram illustrating an example of the configuration of a degradation state determining device according to an embodiment of the present disclosure. [Diagram 2] FIG. 2 is a diagram showing an example of the configuration of a degradation state determination system including the degradation state determination device of FIG. [Diagram 3] FIG. 3 is a diagram illustrating an example of the configuration of the indicator. [Figure 4] FIG. 4 is a flowchart showing an example of a first process included in a degradation state determination method according to an embodiment of the present disclosure. [Diagram 5] FIG. 5 is a diagram showing an example of the configuration of the color change database. [Figure 6] FIG. 6 is a flowchart showing an example of a second process included in a degradation state determination method according to an embodiment of the present disclosure. [Figure 7] FIG. 7 is a diagram illustrating an example of the configuration of the indicator database. [Figure 8] FIG. 8 is a flowchart showing an example of a third process included in a degradation state determination method according to an embodiment of the present disclosure. [Figure 9] FIG. 9 is a flowchart showing an example of a fourth process included in a degradation state determination method according to an embodiment of the present disclosure. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0013] Hereinafter, a deterioration state determination device and a deterioration state determination method according to an embodiment of the present disclosure will be described with reference to the drawings. In each drawing, the same or corresponding parts are given the same reference numerals. In the description of this embodiment, the description of the same or corresponding parts will be omitted or simplified as appropriate.

[0014] FIG. 1 shows a configuration example of a deterioration state determination device 10 according to this embodiment. FIG. 2 shows a configuration example of a deterioration state determination system 1 including the deterioration state determination device 10 of FIG. 1. The deterioration state determination device 10 is a device that determines the deterioration state of an object based on the color of an indicator 31 attached to the object, which is the object to be determined for its deterioration state. In this embodiment, the object is a tire 30, but is not limited to the tire 30. In this embodiment, the deterioration state determination device 10 proposes options such as a suitable vulcanization method when retreading the tire 30 based on the determined deterioration state of the tire 30. Deterioration of the tire 30 includes deterioration that is difficult to see from the outside (hardening as an example), but can be determined with high accuracy by the deterioration state determination device 10. Here, retreading refers to scraping the tread rubber of the tire 30, attaching new rubber, vulcanizing, and reusing the tire. In some cases, a pre-cure tread (PCT) is used. In addition, the user is a user of a management facility 61 for the tire 30 that performs retreading, etc., but is particularly a driver or owner of the vehicle 20.

[0015] The deterioration state determination device 10 includes a communication unit 11, a storage unit 12, and a control unit 13. The control unit 13 includes a data acquisition unit 131, a color change database generation unit 132, a deterioration determination model generation unit 133, a color selection unit 134, an identifier extraction unit 135, a color component extraction unit 136, a deterioration determination unit 137, a determination result output unit 138, and a proposal unit 139. The deterioration state determination device 10 may be configured as a hardware computer such as a server. The components of the deterioration state determination device 10 will be described in detail later.

[0016] The deterioration state determination device 10 may constitute a deterioration state determination system 1 together with at least one of a terminal device 50, a printer 51, and a server 60 connected via a network 40. The network 40 is, for example, the Internet, but may also be a LAN (Local Area Network).

[0017] The terminal device 50 is a general-purpose mobile terminal such as a smartphone or tablet terminal, but is not limited to such a mobile terminal as long as it is a device having an imaging function and a display function. The terminal device 50 is used by the manager or user of the management facility 61 when the deterioration state of the tire 30 is determined, etc. The terminal device 50 may capture an image of the indicator 31 attached to the tire 30 using the imaging function, and transmit the obtained image to the deterioration state determination device 10 via the network 40. The imaging function is realized, for example, by a camera provided in the terminal device 50. In addition, the terminal device 50 may obtain the judgment result of the deterioration state from the deterioration state determination device 10 via the network 40 and display it to the user using the display function. In addition, in this embodiment, the terminal device 50 may display the proposal content for retreading the tire 30 from the deterioration state determination device 10. The display function is realized, for example, by a display such as an LCD provided in the terminal device 50. Here, the terminal device 50 may have a touch panel display integrated with a touch sensor that detects contact by a user and identifies the contact position.

[0018] The printing device 51 is, for example, a color inkjet printer, but is not limited to a color inkjet printer as long as it is a device capable of printing a plurality of color components. The printing device 51 is used to print an identifier 32 and a color pattern 33 (see FIG. 3 ), which will be described later, on a printing medium such as paper, film (film-like resin), or rubber when creating an indicator 31 to be attached to the tire 30. In this embodiment, the printing device 51 obtains printing data from the deterioration state determination device 10 via the network 40 and the server 60, and executes printing to create the indicator 31. Here, the printing data is indicator data including data on the identifier 32 and the color pattern 33.

[0019] The server 60 is, for example, a computer separate from the deterioration state determination device 10. The server 60 is installed, for example, in a management facility 61, and in addition to relaying the indicator data to the printing device 51, may manage data such as the retread and repair history of the tire 30.

[0020] The management facility 61 is a facility that manages the tires 30 attached to the vehicle 20. In this embodiment, the management facility 61 repairs, replaces, retreads, and the like of the tires 30. Here, the deterioration state determination system 1 is capable of executing the deterioration state determination process regardless of the location of the vehicle 20, but in this embodiment, the deterioration state determination process will be described as being executed when the vehicle 20 is visiting the management facility 61. In addition, the terminal device 50, the printing device 51, and the server 60 may be located away from the management facility 61, but unless otherwise specified, the terminal device 50, the printing device 51, and the server 60 will be described as being located inside the management facility 61.

[0021] Here, an overview of the degradation state determination method executed by the degradation state determination device 10 will be described. It is generally known that printed matter printed by a color inkjet printer or the like fades due to aging of the ink. Even in the same environment, the degree of fading varies depending on the color of the ink. Also, even in the same printed matter, the degree of fading varies depending on the difference in degradation factors (e.g., heat, ultraviolet rays, etc.) in the environment. In the degradation state determination method according to the present embodiment, for example, when replacing a tire 30, an indicator 31 is attached to the new tire 30 (see FIG. 2). Thereafter, the degradation state determination device 10 acquires an image of the indicator 31 and calculates the amount of the degradation factor in the environment in which the tire 30 was used from the change in color of the indicator 31. Then, the degradation state determination device 10 determines the degradation state of the tire 30 based on the calculated amount of the degradation factor. Also, the degradation state determination device 10 proposes an option, which is at least one of a method and a product that can be selected when retreading the tire 30, based on the determined degradation state of the tire 30.

[0022] FIG. 3 is a diagram showing the configuration of the indicator 31 in this embodiment. The indicator 31 has an identifier 32 and a color pattern 33 printed on a print medium. The indicator 31 can be produced inexpensively by printing using a printing device 51. In this embodiment, the identifier 32 is a two-dimensional code, but is not limited to a two-dimensional code as long as it is possible to individually identify the indicator 31. In addition, the color pattern 33 is a pattern formed by applying a plurality of colors at different positions. In this embodiment, the color pattern 33 is arranged in a checkered pattern, but is not limited to such an arrangement. Based on the change in color of the color pattern 33, the deterioration state determination device 10 determines the deterioration state of the tire 30. Selection of the colors used in the color pattern 33 will be described later.

[0023] In the example of FIG. 2, the indicator 31 is provided on the sidewall of the tire 30, but the position where the indicator 31 is provided is not limited. As another example, the indicator 31 may be provided on the surface of the inner liner of the tire 30 to be retreaded. As another example, the indicator 31 may be provided on the bottom of the groove of the tread portion. Also, the indicators 31 may be provided in multiple numbers, and each of the multiple indicators 31 may be provided at a different position on the tire 30. In this case, even if some of the indicators 31 are lost or soiled to an extent that they cannot be identified while the vehicle 20 is traveling, the remaining indicators 31 can be used to grasp the color change of the color pattern 33. In addition, by providing multiple indicators 31, even if some of the indicators 31 are deteriorated by intentionally heating them by a third party, the remaining indicators 31 can prevent tampering with the indicators. Also, by providing multiple indicators 31, it is possible to estimate the degree of deterioration of each member of the tire 30 independently. Therefore, the robustness of the deterioration state determination can be improved.

[0024] Here, the degradation state determination system 1 is not limited to the configuration shown in Fig. 2. In this embodiment, the printing device 51 is connected to the network 40 via the server 60, but for example, the printing device 51 may be directly connectable to the network 40. In such a case, the degradation state determination system 1 may be composed of the degradation state determination device 10, the terminal device 50, and the printing device 51, with the server 60 omitted.

[0025] The components of the degradation state determination device 10 will be described in detail below. The communication unit 11 includes one or more communication modules connected to the network 40. The communication unit 11 may include a communication module compatible with mobile communication standards such as 4G (4th Generation) and 5G (5th Generation). The communication unit 11 may include a communication module compatible with a wired LAN standard (1000BASE-T as an example). The communication unit 11 may include a communication module compatible with a wireless LAN standard (IEEE802.11 as an example).

[0026] The storage unit 12 is one or more memories. The memory may be, for example, a semiconductor memory, a magnetic memory, an optical memory, or the like, but is not limited to these and may be any memory. The storage unit 12 is, for example, built into the deterioration state determination device 10, but may also be configured to be accessed from outside the deterioration state determination device 10 via any interface.

[0027] The storage unit 12 stores various data used in various calculations performed by the control unit 13. The storage unit 12 may also store results and intermediate data of various calculations performed by the control unit 13.

[0028] In this embodiment, the storage unit 12 includes a color change database 121, a deterioration determination model 122, an indicator database 123, and a proposal database 124. The color change database 121 includes data indicating a relationship between a change in color of the indicator 31 and the amount of a deterioration factor that deteriorates the tire 30. The deterioration determination model 122 is a model for determining the deterioration state of the tire 30 from the amount of the deterioration factor. The deterioration determination model 122 may be a mathematical model that inputs, for example, the amount of the deterioration factor and outputs a predicted useful life, or may be generated by machine learning or the like. The indicator database 123 includes data that associates the identifier 32 of the indicator 31 with information on the color pattern 33. The information on the color pattern 33 includes the colors used, the color components that constitute each color, and the like. The information on the color pattern 33 may also include the position of each color, the type of pattern of the color arrangement (e.g., a checkered pattern), and the like. The information on the color pattern 33 may also include the initial state of each color in gradation for each color component. Here, the initial state is the state at the time of creating the indicator 31. The proposal database 124 includes information on at least one of the methods and products (options) that can be selected when retreading the tire 30. In the proposal database 124, the options may be associated with deterioration factors that can be reduced by adopting the options. The proposal database 124 may include information such as the conditions for each region where retreading is possible and the accumulated mileage (total life) of the tire 30. The proposal database 124 may also include information such as the amount of wear and the manufacturing week of the tire 30 for each user or vehicle 20. Furthermore, the proposal database 124 may include information from the user regarding the tire 30, such as the mileage, the internal pressure filling period, whether or not nitrogen is filled, and requests for retread options. Here, the internal pressure filling period is the period during which the tire 30 is fitted to the rim and filled with internal pressure.

[0029] The control unit 13 is one or more processors. The processor may be, for example, a general-purpose processor or a dedicated processor specialized for a specific process, but is not limited to these and may be any processor. The control unit 13 controls the overall operation of the degradation state determination device 10.

[0030] Here, the deterioration state determination device 10 may have the following software configuration. One or more programs used to control the operation of the deterioration state determination device 10 are stored in the storage unit 12. When the programs stored in the storage unit 12 are read by the processor of the control unit 13, they cause the control unit 13 to function as a data acquisition unit 131, a color change database generation unit 132, a deterioration determination model generation unit 133, a color selection unit 134, an identifier extraction unit 135, a color component extraction unit 136, a deterioration determination unit 137, a determination result output unit 138, and a proposal unit 139.

[0031] The data acquisition unit 131 acquires experimental data and an image of the indicator 31, which will be described later, via the network 40 and the communication unit 11.

[0032] The color change database generating unit 132 generates the color change database 121 and stores the generated color change database 121 in the storage unit 12. The color change database generating unit 132 can generate the color change database 121 by extracting color information and deterioration factor information from the experimental data and generating data indicating the relationship between color change and the amount of the deterioration factor.

[0033] The deterioration determination model generating unit 133 generates the deterioration determination model 122 and stores the generated deterioration determination model 122 in the storage unit 12. The deterioration determination model 122 is a model that receives the amount of a deterioration factor as an input and outputs an index of the deterioration state of the tire 30. The index of the deterioration state of the tire 30 is, for example, an index related to durability such as a useful life, and an index related to driving performance such as rolling resistance and wet grip, but is not limited thereto. The deterioration determination model generating unit 133 may obtain performance data indicating the actual deterioration state of the tire 30 that can be obtained via the network 40 and the communication unit 11, and generate the deterioration determination model 122 based on the performance data. The performance data may be, for example, data obtained by actual driving of the vehicle 20 or an experiment, indicating the deterioration state when a specific amount of a specific deterioration factor is given to the tire 30. As a specific example, the performance data may indicate the actual service life of a specific type of new tire 30 when left for 10 to 10,000 hours in an environment with a temperature of 20 to 80° C. and 20 to 80% oxygen. The deterioration determination model generation unit 133 may generate the deterioration determination model 122 by machine learning using the performance data as learning data.

[0034] The color selection unit 134 selects a color to be used for the indicator 31 so that the amount of a deterioration factor can be identified in the deterioration state determination executed by the deterioration determination unit 137. Then, the color selection unit 134 outputs indicator data (print data) so that the color pattern 33 including the selected color is printed by the printing device 51.

[0035] The identifier extraction unit 135 extracts the identifier 32 from the image of the indicator 31 acquired by the data acquisition unit 131. The identifier 32 extracted by the identifier extraction unit 135 is used to identify the indicator 31 in the deterioration state determination executed by the deterioration determination unit 137.

[0036] The color component extraction unit 136 extracts color components of the colors included in the color pattern 33 from the image of the indicator 31 acquired by the data acquisition unit 131. The color components extracted by the color component extraction unit 136 are used to identify the amount of a deterioration factor in the deterioration state determination executed by the deterioration determination unit 137. The color component extraction unit 136 may extract color component values ​​of the RGB color space, HSV color space, and Lab color space at the position of each ink identified in the image, and execute a process of calculating an average value between color component values ​​of the same color.

[0037] The deterioration determination unit 137 uses the deterioration determination model 122 to determine the deterioration state of the tire 30 based on the color change database 121 and the color components extracted from the image of the indicator 31 by the color component extraction unit 136. In detail, the deterioration determination unit 137 estimates (calculates) the amount of deterioration factor that the tire 30 is affected by the usage environment by comparing the color components extracted from the image of the indicator 31 with the data in the color change database 121. Then, the deterioration determination unit 137 inputs the estimated amount of deterioration factor to the deterioration determination model 122, and the output index of the deterioration state of the tire 30 is regarded as the determination result. In this embodiment, the determination result also includes the amount of deterioration factor calculated by the deterioration determination unit 137.

[0038] In this embodiment, the deterioration determination unit 137 calculates the color component change by comparing the color components extracted from the image of the indicator 31 with the initial state. The deterioration determination unit 137 can obtain the initial state of the color components of the indicator 31 from the indicator database 123. The deterioration determination unit 137 estimates the amount of the deterioration factor by comparing the color component change with the data in the color change database 121. In this embodiment, by obtaining the color component change by comparison with the initial state, the color change can be obtained accurately even if there is an individual difference (e.g., printing variation) when the indicator 31 is created, so that the deterioration state of the object can be determined with even higher accuracy.

[0039] The judgment result output unit 138 outputs the judgment result of the degradation state judgment executed by the degradation judgment unit 137. The judgment result output by the judgment result output unit 138 is displayed on a display or the like of the terminal device 50. For example, in a configuration in which the server 60 is connected to another display, the judgment result may be displayed on a display connected to the server 60.

[0040] The suggestion unit 139 proposes options for retreading the tire 30 based on the deterioration state of the tire 30 determined by the deterioration determination unit 137. The suggestion unit 139 may select an effective option according to the main deterioration of the tire 30 (for example, deterioration due to heat, oxygen, water, ultraviolet rays, or ozone) from the proposal database 124, for example, and propose it to the user. In addition, when the suggestion unit 139 determines that the tire 30 is significantly deteriorated and that it is difficult to run in the same region in which the vehicle 20 is currently running even if the tire is retreaded, the suggestion unit 139 may propose selling the tire to another region. The suggestion unit 139 outputs the proposal content. The output proposal content may be displayed on the display of the terminal device 50, a display connected to the server 60, or the like. For example, the manager of the management facility 61 can present the degree of deterioration of the tire 30, a suitable vulcanization method for retreading, and the like to the user based on the determination result and the proposal content. In addition, for example, even if the user is not familiar with retreading techniques, the user can select an option suitable for the tire 30 according to the proposal content displayed on the terminal device 50. Here, the proposal content from the deterioration determination unit 137 may be output together with the determination result from the determination result output unit 138, or may be output instead of the determination result. Furthermore, the determination result and the proposal content may be displayed on a display connected to the server 60, and only the proposal content may be displayed on the display of the terminal device 50.

[0041] Hereinafter, the degradation state determination method executed by the degradation state determination device 10 will be described with reference to a flowchart and the like. The degradation state determination method according to this embodiment includes a first process, a second process, a third process, and a fourth process. The first process is a process for generating a color change database 121 and a degradation determination model 122, and is executed before the second process, the third process, and the fourth process. The second process is a process for creating (printing by the printing device 51) an indicator 31 to be attached to the tire 30, and is executed before the third process and the fourth process. The third process is a process for acquiring an image of the indicator 31 attached to the tire 30 and determining the degradation state of the tire 30. The fourth process is executed after the third process, and proposes a retread option for the tire 30 based on the determined degradation state of the tire 30.

[0042] FIG. 4 is a flowchart showing an example of a first process included in the degradation state determination method.

[0043] The data acquisition unit 131 receives the experimental data (step S1). The experimental data is data obtained by experimentally applying a deterioration factor to an experimental indicator created by the printing device 51 in the same way as the indicator 31, to cause the color to fade. Like the color pattern 33 of the indicator 31, the experimental indicator has a pattern in which multiple colors are arranged. The experimental data includes color information and deterioration factor information. The experimental data may include an image of the captured experimental indicator and deterioration factor information, which is text information. The deterioration factor information indicates the amount of the deterioration factor applied experimentally, and may be information such as leaving the indicator in an environment with a temperature of 20°C and 20% oxygen for 20 hours.

[0044] The experimental data is transmitted to the deterioration state determination device 10 by, for example, the terminal device 50. An application installed on the terminal device 50 may associate an image of the experimental indicator with information on the deterioration factor and transmit the associated data as experimental data to the deterioration state determination device 10. Here, the terminal device 50 may be located in a location (e.g., an experimental facility) separate from the management facility 61 and transmit the experimental data.

[0045] The color change database generating unit 132 extracts color information and deterioration factor information from the experimental data (step S2).

[0046] The color change database generating unit 132 generates data indicating the relationship between the color change and the amount of the deterioration factor, and associates these to generate the color change database 121 (step S3, color change database generating step).

[0047] Fig. 5 is a diagram showing an example of the configuration of the color change database 121. In the example of Fig. 5, the color change database 121 is made up of a data group that associates temperature, oxygen, the time left under the conditions, the ink of the color used, and the color components (R, G, B) of the color used. The ink is represented by, for example, cyan, magenta, yellow, etc. Also, the color components are represented by gradations of 0 to 255 for red (R), green (G), and blue (B).

[0048] In the example of Fig. 5, the first and second columns of the color change database 121 show that cyan, whose color components are G 255 and B 255, fades to G 238 and B 228 when left for 10 hours in an environment at a temperature of 80°C and 20% oxygen. In this way, the color change database 121 shows the relationship between the color change and the amount of the deterioration factor. By using this relationship, when there is a color change (fading) in the color pattern 33 of the indicator 31, it is possible to estimate the amount of the deterioration factor that caused the fading by searching for data in the color change database 121 that shows a change in the same color components.

[0049] The deterioration determination model generating unit 133 generates the deterioration determination model 122 (step S4). As described above, the deterioration determination model 122 is a model that receives the amount of a deterioration factor as an input and outputs an index of the deterioration state of the tire 30. By generating the deterioration determination model 122 in addition to the color change database 121, it becomes possible to output an index of the deterioration state of the tire 30 from the fading of the color pattern 33 of the indicator 31, using the amount of an estimated deterioration factor as an intermediate parameter.

[0050] Here, the items in the color change database 121 are not limited to the example in Fig. 5. For example, the deterioration factors may include at least one of heat, oxygen, water, ultraviolet light, and ozone. By including these deterioration factors that may be expected in an outdoor environment, it is possible to improve the accuracy of determining the deterioration state of an object used outdoors, including the tire 30.

[0051] 6 is a flowchart showing an example of a second process included in the degradation state determination method. The second process is executed after the first process. The second process is executed, for example, when the vehicle 20 changes to a new tire 30 at the management facility 61.

[0052] The color selection unit 134 generates an identifier 32 to be printed on the indicator 31 (step S11). The identifier 32 is also used to associate the information of the indicator 31 with the color pattern 33 in the indicator database 123. Each indicator 31 can be identified by the identifier 32, making it possible to grasp the initial state and manage each indicator individually. The color selection unit 134 may use, for example, a universally unique identifier (UUID).

[0053] The color selection unit 134 selects a color to be used for the indicator 31 so that the amount of the deterioration factor can be specified (step S12, color selection step). As described above, the degree of fading differs depending on the deterioration factor in the environment and the color of the ink. The color selection unit 134 may first select a color (highly sensitive color) that changes significantly due to the deterioration factor assumed in the usage environment of the tire 30. For example, when high temperature (for example, a temperature of 80° C.) is assumed as a deterioration factor, the color selection unit 134 may select a color that fades significantly due to high temperature (for example, magenta). The color selection unit 134 may further select a color for contrast. For example, the color selection unit 134 may select a color that fades due to high temperature only under aerobic conditions (for example, yellow) for contrast. For example, in the deterioration state determination, when yellow does not fade and magenta fades significantly, it is possible to more accurately specify that the deterioration factor is high temperature and not oxygen. Here, the color selection unit 134 refers to the color change database 121 in selecting the color. The color selection unit 134 also specifies the color components of the color to be selected based on the data in the color change database 121 so that the amount of the deterioration factor can be accurately specified in the deterioration state judgment. For example, the color selection unit 134 specifies magenta with R of 255 and B of 255. The color selection unit 134 also determines the arrangement of each color in the color pattern 33. The position where each color is arranged may be managed by coordinates.

[0054] Furthermore, for the purpose of control correction, which will be described later, the color selection unit 134 selects a color having a color component that is not easily discolored, and includes the color in the indicator data.

[0055] In this embodiment, the color selection unit 134 selects a plurality of colors capable of identifying the same deterioration factor, and generates indicator data such that the plurality of colors capable of identifying the same deterioration factor are applied to different positions on the indicator 31. By configuring the color pattern 33 in this manner, even if a portion of the indicator 31 becomes unidentifiable due to dirt or the like after it is applied to the tire 30, the deterioration factor can be identified from the remaining color. As in the example of FIG. 3, the color selection unit 134 may generate indicator data such that the plurality of color patterns 33 are in different positions.

[0056] The color selection unit 134 outputs indicator data including data on the identifier 32 and the color pattern 33 (step S13). The printing device 51 acquires the indicator data from the deterioration state determination device 10 as print data via the network 40 and the server 60, and creates the indicator 31 by printing. The created indicator 31 is attached to the tire 30. In this embodiment, the created indicator 31 is imaged by the terminal device 50, and the image is transmitted to the deterioration state determination device 10 as an indication of the initial state of the indicator 31.

[0057] The color selection unit 134 updates the indicator database 123 (step S14). That is, the information of the indicator data output by the color selection unit 134 is added to the indicator database 123. Information on the created indicator 31 is managed by the indicator database 123.

[0058] FIG. 7 is a diagram showing an example of the configuration of the indicator database 123. In the example of FIG. 7, the indicator database 123 is composed of a data group in which the identifier 32 (ID), the photographing date and time, the initial value flag, the ink (Ink), the color components (R, G, B), and the color position are associated with each other. For a newly created indicator 31, the identifier 32 and the color position information are extracted from the indicator data, and the data is added with the initial value flag set to "1". As described above, an image of the indicator 31 created by the terminal device 50 is transmitted to the deterioration state determination device 10. The photographing date and time, the ink, and the color components of this image are extracted and added to the data of the newly created indicator 31. Here, the extraction of the ink and the color components may be executed by the color component extraction unit 136, and the color selection unit 134 may acquire the execution result of the color component extraction unit 136. In the indicator database 123, the data with the initial value flag set to "1" includes the initial state of the color of the indicator 31 having the identifier 32. Here, the data with the initial value flag set to "0" includes the color state of the indicator 31 having that identifier 32 after it has been attached to the tire 30, and is added to the indicator database 123 by the third process.

[0059] 8 is a flowchart showing an example of a third process included in the degradation state determination method. The third process is executed after the second process. The third process is executed, for example, at the timing when maintenance of the tire 30 is performed in the management facility 61. Therefore, the third process may be executed multiple times.

[0060] The data acquisition unit 131 receives image data of the indicator 31 (step S21).

[0061] The identifier extraction unit 135 extracts the identifier 32 from the image data acquired by the data acquisition unit 131 (step S22).

[0062] The deterioration determination unit 137 identifies the indicator 31 based on the identifier 32 extracted by the identifier extraction unit 135. The deterioration determination unit 137 reads out the indicator database 123 (step S23) and acquires data on the initial state of the color of the identified indicator 31, etc.

[0063] The color component extraction unit 136 performs shading correction on the image data acquired by the data acquisition unit 131 (step S24). The shading correction corrects the difference in the amount of light in the color pattern 33 caused by the shooting environment.

[0064] The color component extraction unit 136 executes control correction (step S25). The control correction is performed to accurately measure the change in color of the indicator 31 from the initial state. The color component extraction unit 136 extracts a color component (for example, the G component of cyan) that is less likely to fade and is included in the color pattern 33, and adjusts the gradation of the color component to the initial state. This process makes it possible to adjust the amount of light to the image of the indicator 31 at the time of its creation.

[0065] The color component extraction unit 136 identifies application positions of all inks (colors) contained in the color pattern 33 based on the data in the indicator database 123 (step S26). For example, the positions of cyan, magenta, yellow, and at least some mixed colors thereof contained in the color pattern 33 are identified.

[0066] The color component extraction unit 136 extracts the color component values ​​of each ink whose position has been identified (step S27, color component extraction step). For example, as in the example of FIG. 3, when multiple color patterns 33 are included, average values ​​may be used as the color component values ​​of each ink. Furthermore, when there is dirt or the like in a portion, the color component values ​​of each ink may be extracted using only the color patterns 33 in the area without dirt. Although the deterioration judgment may be performed using the extracted color component values ​​of each ink themselves, in this embodiment, the deterioration judgment is performed using the difference from the initial state. Therefore, the color component extraction unit 136 calculates the change in the color component value of each ink from the initial state using the data of the indicator database 123.

[0067] Here, the color component extraction unit 136 updates the indicator database 123 (step S28) in the same manner as in step S14 of the second process. The configuration of the data added to the indicator database 123 is the same as in step S14 of the second process, except that the initial value flag is "0".

[0068] The deterioration determining unit 137 reads out the color change database 121. In addition, the deterioration determining unit 137 reads out the deterioration determining model 122 (step S29).

[0069] The deterioration determination unit 137 uses the deterioration determination model 122 to perform deterioration determination of the tire 30 based on the color change database 121 and color components extracted from the image (step S30, deterioration determination step).

[0070] First, the deterioration determination unit 137 extracts data corresponding to changes in color component values ​​from the initial state from the color change database 121, and estimates the amount of deterioration factor that the tire 30 has received from the environment. For example, when cyan, which had G of 253 and B of 253 as the color components in the initial state, fades (changes) to G of 236 and B of 226, the deterioration determination unit 137 calculates that the color component changes are G of 17 and B of 27. The deterioration determination unit 137 may extract data corresponding to such color component changes based on the color change database 121, and estimate that the amount of deterioration factor is "left for 10 hours in an environment with a temperature of 80°C and 20% oxygen". The deterioration determination unit 137 may perform the estimation by a known method such as regression analysis using the data constituting the color change database 121.

[0071] Furthermore, the deterioration determination unit 137 may calculate color component changes for multiple color components that show different changes for one deterioration factor, and identify the amount of the deterioration factor from the multiple color component changes. For example, it is assumed that the color change database 121 contains data that R of magenta changes from 255 to 220 when "left for 10 hours in an environment of 80°C temperature and 20% oxygen". The deterioration determination unit 137 can increase the estimation accuracy of the amount of the deterioration factor by calculating and comparing the change in R of magenta in addition to cyan in the above example, and as a result, can determine the deterioration state of the tire 30 with higher accuracy.

[0072] The deterioration determination unit 137 inputs the amount of the deterioration factor into the deterioration determination model 122 to calculate an index of the deterioration state of the tire 30. The deterioration determination unit 137 may calculate a plurality of indexes of the deterioration state of the tire 30 including the useful life.

[0073] The determination result output unit 138 outputs the determination result by the deterioration determination unit 137 (step S31).

[0074] 9 is a flowchart showing an example of a fourth process included in the degradation state determination method. The fourth process is executed after the third process. The fourth process may be executed after a certain amount of time has elapsed since the third process, or may be executed immediately after the third process. In addition, the proposed content is stored as a template in the storage unit 12, for example, and is selected by the proposing unit 139 according to the conditions.

[0075] The proposing unit 139 acquires the determination result by the deterioration determining unit 137 (step S41).

[0076] Based on the acquired judgment result, the suggestion unit 139 judges whether the deterioration state of the tire 30 is such that retreading will enable the vehicle 20 to be driven in the same region in which the vehicle 20 is currently driving (step S42). For example, if the region in which the vehicle 20 is currently driving is a high-temperature region, it may be judged that the tire 30 will have a large effect of thermal degradation and that it will be difficult to drive in the same region even if retreaded. If it is judged that the tire 30 is not capable of being driven in the same region (No in step S42), the suggestion unit 139 proposes selling the tire to another region (step S48). For example, if the region in which the vehicle 20 is currently driving is a high-temperature region and it is judged that it will be difficult to drive in the same region due to the large effect of thermal degradation, a region with a low temperature is selected as the other region.

[0077] Here, the suggestion unit 139 may obtain the conditions for each region where retreading is possible, the accumulated mileage of the tire 30, the information on the manufacturing week of the tire 30, the mileage, and the internal pressure filling period from the proposal database 124, and execute the determination of step S42. First, the suggestion unit 139 determines that retreading is not possible when the actual mileage of the tire 30 exceeds the accumulated mileage of the tire 30 that is retreadable, which is determined according to the internal pressure filling period, or when the period that has elapsed since the manufacturing week of the tire 30 exceeds a predetermined number of years (10 years, for example). At this time, the suggestion unit 139 may adjust at least one of the mileage and the predetermined number of years based on the conditions for each region. For example, when the region in which the vehicle 20 is currently traveling is a high temperature region, the suggestion unit 139 may adjust to shorten the accumulated mileage of the tire 30 that is retreadable.

[0078] When the suggestion unit 139 determines that driving in the same area is possible (Yes in step S42), it identifies the main deterioration factor based on the obtained judgment result (step S43). In this embodiment, at least heat, oxygen, water, ultraviolet light, or ozone is distinguished as the main deterioration, but other deterioration factors may be included. By distinguishing at least heat, oxygen, water, ultraviolet light, or ozone as the main deterioration, it becomes possible to propose a more appropriate retread option that is suited to the driving environment of the vehicle 20 on which the tire 30 is mounted.

[0079] For example, when the degree of thermal degradation is large, the suggestion unit 139 suggests using a fuel-efficient product in the retread (step S44). The fuel-efficient product may be, for example, a precured tread with low rolling resistance. The retread can suppress heat generation in the base tire whose usage period is extended, and suppress thermal degradation. In addition, the suggestion unit 139 may suggest, for example, a low-temperature vulcanization process together with or instead of the fuel-efficient product. The low-temperature vulcanization process can reduce thermal damage to the base tire during retreading.

[0080] The suggestion unit 139 suggests nitrogen filling when the degree of water deterioration is high (step S45). By filling with nitrogen, deterioration of the base tire caused by reaction with the oxygen component of water can be suppressed. The suggestion unit 139 may also suggest nitrogen filling when the degree of oxygen deterioration is high.

[0081] For example, when the degree of ultraviolet degradation is large, the suggestion unit 139 suggests changing the mounting position (step S46). For example, in a vehicle 20 having dual wheels (double tires), the sensor is mounted as an inner wheel of the dual wheels, thereby suppressing deterioration due to ultraviolet rays.

[0082] For example, when the degree of ozone deterioration is large, the suggestion unit 139 suggests applying wax (step S47). By applying wax to the sidewall of the base tire, deterioration due to ozone can be suppressed.

[0083] Here, the suggestion unit 139 may acquire information on the amount of wear of the tire 30, the presence or absence of nitrogen filling, and the user's desired retread option from the proposal database 124, and determine the content of the proposal in the proposal step (steps S44 to S48). For example, when proposing a fuel-efficient product, the suggestion unit 139 may select and propose a product having optimal wear resistance based on the information on the amount of wear of the tire 30. For example, the suggestion unit 139 may propose nitrogen filling only when the tire 30 has not been filled with nitrogen in the past. For example, when proposing a fuel-efficient product, the suggestion unit 139 may select and propose a product at a desired price based on information on a desired price range from the user. In this way, the suggestion step further proposes an option based on at least one of the information on the amount of wear of the tire 30 and the information from the user, thereby making it possible to make a proposal that further matches the driving conditions of the vehicle 20 and the user's desires.

[0084] The suggestion unit 139 outputs the proposed content in the same manner as the determination result output unit 138 (step S49). The output proposed content may be displayed on the display of the terminal device 50, a display connected to the server 60, or the like.

[0085] As described above, the degradation state determination method and degradation state determination device 10 according to the present embodiment can provide an appropriate suggestion for retreading based on an index of the degradation state of the tire 30 by the above-mentioned configuration. In the conventional technology, the accuracy was insufficient to provide an index that objectively indicates the degradation state of the tire, so the possibility of retreading was determined based only on information such as the amount of wear of the tire 30, the manufacturing week, and the mileage from the user. In a determination based only on such information, a tire whose service life can be extended by retreading may be discarded, or an optimal option may not be selected. The degradation state determination method and degradation state determination device 10 according to the present embodiment can determine the degradation state of the tire 30 in detail based on the color of the indicator 31, appropriately determine the possibility of retreading based on the determination result, and select the optimal option.

[0086] Although the embodiments of the present disclosure have been described based on the drawings and examples, it should be noted that those skilled in the art can easily make various modifications or corrections based on the present disclosure. Therefore, it should be noted that these modifications or corrections are included in the scope of the present disclosure. For example, the functions included in each component or each step can be rearranged so as not to be logically inconsistent, and multiple components or steps can be combined into one or divided. The embodiments of the present disclosure can also be realized as a program executed by a processor included in the device or a storage medium on which a program is recorded. It should be understood that these are also included in the scope of the present disclosure.

[0087] For example, in the above embodiment, the deterioration state determination device 10 includes the proposal unit 139 and the proposal database 124. As another configuration example, the server 60 may include the proposal unit 139 and the proposal database 124. At this time, the server 60 may execute the above-mentioned proposal regarding retreading based on the deterioration determination result of the tire 30 from the deterioration state determination device 10. Also, as another configuration example, the terminal device 50 may include the proposal unit 139 and the proposal database 124. The proposal unit 139 may be realized by an application installed in the terminal device 50. At this time, the terminal device 50 may execute the above-mentioned proposal regarding retreading based on the deterioration determination result of the tire 30 from the deterioration state determination device 10.

[0088] In addition, the image of the indicator 31 used to extract color components in the color component extraction step of the above embodiment is not limited to an image captured by irradiating visible light. For example, the image data of the indicator 31 may be an image captured by irradiating invisible light such as UV (ultraviolet) light. In an image captured by irradiating invisible light, the color change (sensitivity) to a specific deterioration factor may be larger than in the case of irradiating visible light. Therefore, an image captured by irradiating invisible light may be used when investigating the effect of a specific deterioration factor in detail. [Explanation of symbols]

[0089] 1. Deterioration state determination system 10. Deterioration state determination device 11 Communications Department 12 Storage section 13 Control section 20 Vehicles 30 Tires 31 Indicators 32 Identifier 33 Color Pattern 40 Network 50 Terminal Equipment 51 Printing device 60 Servers 61 Management equipment 121 Color Change Database 122 Deterioration Judgment Model 123 Indicator Database 124 Suggested Database 131 Data Acquisition Section 132 Color change database generation unit 133 Deterioration judgment model generation unit 134 Color Selection Section 135 Identifier Extraction Unit 136 Color component extraction section 137 Deterioration determination section 138 Judgment result output unit 139 Proposal Department

Claims

1. A tire deterioration state determination method in which a tire deterioration state determination device determines a tire deterioration state based on a color of an indicator attached to a tire mounted on a vehicle, the method comprising: a degradation determination step of determining the degradation state of the tire based on a color change database including data showing a relationship between a color change of the indicator and the amount of the degradation factor and on color components extracted from an image of the indicator attached to the tire, using a degradation determination model in which the amount of a degradation factor that deteriorates the tire is input and an index of the degradation state of the tire is output; and a suggestion step of suggesting options, which are at least one of a method and a product that can be selected when retreading the tire, based on the determined tire deterioration state.

2. The degradation state determination method according to claim 1 , wherein the suggestion step suggests the option depending on a major deterioration of the tire, and distinguishes at least heat, oxygen, water, ultraviolet rays, or ozone as the major deterioration.

3. The degradation state determining method according to claim 1 or 2, wherein the indicator has a pattern in which a plurality of colors are arranged.

4. The degradation state determination method according to claim 1 , wherein the suggestion step further suggests the option based on at least one of information on the amount of wear of the tire and information from a user.

5. A tire deterioration state determination device for determining a deterioration state of a tire mounted on a vehicle based on a color of an indicator attached to the tire, comprising: a degradation determination unit that uses a degradation determination model in which the amount of a degradation factor that deteriorates the tire is input and an index of the degradation state of the tire is output, and determines the degradation state of the tire based on a color change database including data showing a relationship between a color change of the indicator and the amount of the degradation factor and on color components extracted from an image of the indicator attached to the tire; A deterioration state determination device comprising: a suggestion unit that suggests options, which are at least one of methods and products that can be selected when retreading the tire, based on the determined deterioration state of the tire.

Images