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 determining a deterioration state of an object with high accuracy.SOLUTION: A deterioration state determination method for determining a deterioration state of an object based on the color of an indicator attached to the object whose deterioration state is to be determined, includes the steps of: generating a color change database including data indicating the relationship between the change in color of the indicator and the amount of degradation factors which degrade the object; selecting a color to be used for the indicator so that the amount of the deterioration factors can be specified; acquiring an image of the indicator attached to the object and extracting color components from the image (S27); and determining the deterioration state of the object based on the color components extracted from the color change database and the image using a degradation determination model which inputs the amount of degradation factors and outputs an index of the deterioration state of the object (S30).SELECTED DRAWING: Figure 8

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 increased use of retread tires, technology for determining the deterioration state of tires has been attracting attention. For example, Patent Document 1 discloses a tire that, when the display area is exposed to light, indicates the limit of use by the difference in the degree of discoloration between the text area and the background area. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2006-273260 Summary of the Invention [Problem to be solved by the invention]

[0004] However, the technology of Patent Document 1 displays the pre-stamped expiration date of a tire, and its accuracy is insufficient to be used as an objective indicator of the deterioration state of the tire and the rubber components that make up the tire.

[0005] In view of the above circumstances, an object of the present disclosure is to provide a degradation state determination method and a degradation state determination device that are capable of determining the degradation state of an object with high accuracy. [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 for determining the deterioration state of an object based on the color of an indicator attached to the object whose deterioration state is to be determined, and includes: a color change database generation step for generating a color change database comprising data indicating the relationship between changes in the color of the indicator and the amount of a deterioration factor that deteriorates the object; a color selection step for selecting a color to be used for the indicator so that the amount of the deterioration factor can be identified; a color component extraction step for acquiring an image of the indicator attached to the object and extracting color components from the image; and a deterioration determination step for determining the deterioration state of the object based on the color change database and the color components extracted from the image using a deterioration determination model that takes the amount of the deterioration factor as input and outputs an index of the deterioration state of the object. This configuration makes it possible to determine the deterioration state of an object with high accuracy.

[0007] In one embodiment of the present disclosure, the deterioration determination step calculates a color component change by comparing the color component extracted from the image with an initial state, and determines the deterioration state of the object based on the amount of the deterioration factor identified from the color component change. With this configuration, even if there are individual differences in the indicators when they are made, the color change can be accurately determined, so the deterioration state of the object can be determined with even higher accuracy.

[0008] In one embodiment of the present disclosure, the deterioration determination step calculates the color component changes for multiple color components that show different changes for one of the deterioration factors, and identifies the amount of the deterioration factor from the multiple color component changes. This configuration improves the accuracy of estimating the amount of the deterioration factor, and makes it possible to determine the deterioration state of the object with higher accuracy.

[0009] In one embodiment of the present disclosure, the deterioration factors include at least one of heat, oxygen, water, ultraviolet light, and ozone. This configuration makes it possible to improve the accuracy of determining the deterioration state of an object used outdoors.

[0010] In one embodiment of the present disclosure, the color selection step selects multiple colors that can identify the same deterioration factor, and the indicator is configured by applying each of the multiple colors that can identify the same deterioration factor at a different position. With this configuration, even if a part of the color becomes unidentifiable due to dirt or the like, the deterioration factor can be identified from the remaining color.

[0011] In one embodiment of the present disclosure, there are a plurality of indicators, and each of the plurality of indicators is attached to a different position on the object. This configuration can improve robustness against the influence of defects, stains, etc.

[0012] In one embodiment of the present disclosure, the object is a tire. This configuration makes it possible to determine with high accuracy the state of deterioration of tires that may be difficult to discern from their appearance.

[0013] 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 an object based on the color of an indicator attached to the object whose deterioration state is to be determined, and includes: a color change database generation unit that generates a color change database including data indicating the relationship between changes in the color of the indicator and the amount of a deterioration factor that deteriorates the object; a color selection unit that selects a color to be used for the indicator so that the amount of the deterioration factor can be identified; a color component extraction unit that acquires an image of the indicator attached to the object and extracts color components from the image; and a deterioration determination unit that determines the deterioration state of the object based on the color change database and the color components extracted from the image using a deterioration determination model that takes the amount of the deterioration factor as input and outputs an index of the deterioration state of the object. This configuration makes it possible to determine the deterioration state of an object with high accuracy. [Effects of the Invention]

[0014] According to the present disclosure, it is possible to provide a degradation state determination method and a degradation state determination device that are capable of determining the degradation state of an object with high accuracy. [Brief explanation of the drawings]

[0015] [Figure 1] FIG. 1 is a diagram illustrating an example of the configuration of a degradation state determination device according to an embodiment of the present disclosure. [Figure 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. [Figure 3] FIG. 3 is a diagram illustrating an example of the configuration of the indicator. [Figure 4] FIG. 4 is a flowchart illustrating an example of a first process included in a degradation state determination method according to an embodiment of the present disclosure. [Figure 5] FIG. 5 is a diagram showing an example of the configuration of the color change database. [Figure 6] FIG. 6 is a flowchart illustrating 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 illustrating an example of a third process included in a degradation state determination method according to an embodiment of the present disclosure. DETAILED DESCRIPTION OF THE INVENTION

[0016] 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, identical or corresponding parts are designated by the same reference numerals. In the description of this embodiment, the description of identical or corresponding parts will be omitted or simplified as appropriate.

[0017] FIG. 1 shows an example of the configuration of a deterioration state determination device 10 according to this embodiment. FIG. 2 shows an example of the configuration 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, the deterioration state of which is to be determined. In this embodiment, the object is a tire 30, but is not limited to a tire 30. The deterioration state of the tire 30 determined by the deterioration state determination device 10 may be used to present the user with a predicted service life, an appropriate vulcanization method, and the like, when retreading the tire 30, for example. Deterioration of the tire 30 includes deterioration that is difficult to detect from the outside (hardening, for example), but can be determined with high accuracy by the deterioration state determination device 10. Here, retreading refers to scraping off the tread rubber of the tire 30, applying new rubber, and vulcanizing the tire for reuse. A pre-cure tread (PCT) may also be used. The user is a user of the management facility 61 for the tires 30 that performs retreading or the like, and in particular, a driver or owner of the vehicle 20.

[0018] 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, and a determination result output unit 138. The deterioration state determination device 10 may have a hardware configuration such as a computer such as a server. The components of the deterioration state determination device 10 will be described in detail below.

[0019] 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).

[0020] The terminal device 50 is a general-purpose mobile terminal such as a smartphone or tablet terminal, but is not limited to such mobile terminals as long as it has imaging and display functions. The terminal device 50 is used by an administrator or user of the management facility 61 when, for example, determining the deterioration state of the tire 30. The terminal device 50 may capture an image of the indicator 31 attached to the tire 30 using its 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 included in the terminal device 50. The terminal device 50 may also obtain the deterioration state determination result from the deterioration state determination device 10 via the network 40 and display it to the user using its display function. The display function is realized, for example, by a display such as an LCD included in the terminal device 50. Here, the terminal device 50 may include a touch panel display integrated with a touch sensor that detects contact by the user and identifies the contact position.

[0021] 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 multiple 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 print data from the deterioration state determination device 10 via the network 40 and the server 60, and performs printing to create the indicator 31. Here, the print data is indicator data including data on the identifier 32 and the color pattern 33.

[0022] 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 indicator data to the printing device 51, may also manage data such as the retread and repair history of the tire 30.

[0023] The management facility 61 is a facility that manages the tires 30 attached to the vehicle 20. In this embodiment, the management facility 61 performs repairs, replacements, retreads, etc. 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. Furthermore, 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 within the management facility 61.

[0024] Here, an overview of the deterioration state determination method executed by the deterioration state determination device 10 will be described. It is generally known that printed materials printed by color inkjet printers or the like fade over time due to aging of the ink. Even in the same environment, the degree of fading varies depending on the color of the ink. Furthermore, even for the same printed material, the degree of fading varies depending on differences in environmental deterioration factors (e.g., heat, ultraviolet rays, etc.). In the deterioration state determination method according to this embodiment, for example, when a tire 30 is replaced, an indicator 31 is attached to the new tire 30 (see FIG. 2). Thereafter, the deterioration state determination device 10 acquires an image of the indicator 31 and calculates the amount of deterioration factor in the environment in which the tire 30 was used from the change in color of the indicator 31. The deterioration state determination device 10 then determines the deterioration state of the tire 30 based on the calculated amount of deterioration factor.

[0025] 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 allows the indicator 31 to be individually identified. The color pattern 33 is a pattern formed by applying multiple colors in different positions. In this embodiment, the color pattern 33 is arranged in a checkerboard pattern, but is not limited to such an arrangement. The deterioration state determination device 10 determines the deterioration state of the tire 30 based on changes in color of the color pattern 33. The selection of the colors used in the color pattern 33 will be described later.

[0026] In the example of FIG. 2 , the indicator 31 is provided on the sidewall of the tire 30, but the position of the indicator 31 is not limited. As another example, the indicator 31 may be provided on the surface of an inner liner of the tire 30 to be retreaded. As another example, the indicator 31 may be provided on the bottom of a groove in the tread portion. Alternatively, there may be multiple indicators 31, each of which 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 the point where they are indistinguishable while the vehicle 20 is traveling, the color change in the color pattern 33 can be ascertained by the remaining indicators 31. Furthermore, by providing multiple indicators 31, even if some of the indicators 31 are intentionally heated and deteriorated by a third party, the remaining indicators 31 can prevent tampering with the indicators. Furthermore, providing multiple indicators 31 makes it possible to independently estimate the degree of deterioration of each component of the tire 30. This improves the robustness of the deterioration state determination.

[0027] Here, the deterioration 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 deterioration state determination system 1 may be configured with the deterioration state determination device 10, the terminal device 50, and the printing device 51, without the server 60.

[0028] The components of the degradation state determination device 10 will be described in detail below. The communication unit 11 is configured to include one or more communication modules connected to the network 40. The communication unit 11 may include a communication module compatible with a mobile communication standard such as 4G (4th Generation) or 5G (5th Generation). The communication unit 11 may include a communication module compatible with a wired LAN standard (1000BASE-T, for example). The communication unit 11 may include a communication module compatible with a wireless LAN standard (IEEE802.11, for example).

[0029] 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 accessible from outside the deterioration state determination device 10 via any interface.

[0030] 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.

[0031] In this embodiment, the storage unit 12 includes a color change database 121, a deterioration determination model 122, and an indicator database 123. The color change database 121 includes data indicating the relationship between the color change 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 based on the amount of the deterioration factor. The deterioration determination model 122 may be a mathematical model that inputs the amount of the deterioration factor and outputs a predicted service life, or may be generated by machine learning or the like. The indicator database 123 includes data associating 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 make up each color, and the like. The information on the color pattern 33 may also include the position of each color, the type of color arrangement pattern (e.g., a checkerboard 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 of the indicator 31 at the time of creation.

[0032] 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 deterioration state determination device 10.

[0033] 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, and a determination result output unit 138.

[0034] 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.

[0035] The color change database generation 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 generation 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.

[0036] The deterioration determination model generation 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 input and outputs an index of the deterioration state of the tire 30. The index of the deterioration state of the tire 30 may be, for example, an index related to durability such as service life, or an index related to driving performance such as rolling resistance and wet grip, but is not limited to these. The deterioration determination model generation unit 133 may acquire performance data indicating the actual deterioration state of the tire 30, which can be acquired 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, which indicates the deterioration state when a specific amount of a specific deterioration factor is applied 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 it is left for 10 to 10,000 hours in an environment with a temperature of 20 to 80°C and an oxygen content of 20 to 80%. The deterioration determination model generation unit 133 may generate the deterioration determination model 122 by machine learning using the performance data as learning data.

[0037] 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 a color pattern 33 including the selected color is printed by the printing device 51.

[0038] 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 degradation state determination executed by the degradation determination unit 137.

[0039] 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 ​​in the RGB color space, HSV color space, and Lab color space at the position of each ink identified in the image, and perform processing to calculate an average value between color component values ​​of the same color.

[0040] 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 has affected the tire 30 due to 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 into the deterioration determination model 122, and sets the output index of the deterioration state of the tire 30 as the determination result.

[0041] In this embodiment, the deterioration determination unit 137 calculates a 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 deterioration factor by comparing the color component change with data in the color change database 121. In this embodiment, by determining the color component change by comparison with the initial state, it is possible to accurately determine the color change even if there are individual differences in the indicator 31 when it was created (for example, variations in printing), and therefore it is possible to determine the deterioration state of the object with even higher accuracy.

[0042] The determination result output unit 138 outputs the determination result of the deterioration state determination executed by the deterioration determination unit 137. The determination result output by the determination result output unit 138 is displayed on the display of the terminal device 50 or the like. For example, in a case where the server 60 is configured to be connected to another display, the determination result may be displayed on a display connected to the server 60. For example, based on the determination result, the manager of the management facility 61 can present to the user the predicted service life when replacing, repairing, or retreading the tire 30, an appropriate vulcanization method, and the like.

[0043] The degradation state determination method executed by the degradation state determination device 10 will be described below with reference to flowcharts and the like. The degradation state determination method according to this embodiment includes a first process, a second process, and a third 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 and third processes. 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. 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.

[0044] FIG. 4 is a flowchart showing an example of a first process included in the degradation state determination method.

[0045] The data acquisition unit 131 receives 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 manner as the indicator 31, causing the color to fade. Similar to 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 information on the deterioration factor, which is text information. The deterioration factor information indicates the amount of the experimentally applied deterioration factor, and may be information such as leaving the indicator in an environment with a temperature of 20°C and 20% oxygen for 20 hours.

[0046] 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 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.

[0047] The color change database generating unit 132 extracts color information and deterioration factor information from the experimental data (step S2).

[0048] The color change database generating unit 132 generates data indicating the relationship between color change and the amount of deterioration factor, and associates these data to generate the color change database 121 (step S3, color change database generating step).

[0049] 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 color used, and the color components (R, G, B) of the color used. The ink is represented by, for example, cyan, magenta, yellow, etc. The color components are represented by gradations of 0 to 255 for red (R), green (G), and blue (B).

[0050] In the example of Figure 5, the first and second columns of the color change database 121 show that a cyan with color components G of 255 and B of 255 will fade to G of 238 and B of 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 color change and the amount of deterioration factor. 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 component.

[0051] The deterioration determination model generation 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 the estimated deterioration factor as an intermediate parameter.

[0052] 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 outdoor environments, it is possible to improve the accuracy of determining the deterioration state of objects used outdoors, including the tire 30.

[0053] 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.

[0054] 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 information about the indicator 31 with information about the color pattern 33 in the indicator database 123. The identifier 32 makes it possible to identify each indicator 31, 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).

[0055] The color selection unit 134 selects a color to be used for the indicator 31 so that the amount of deterioration factor can be identified (step S12, color selection step). As described above, the degree of fading varies depending on the deterioration factor in the environment and the color of the ink. The color selection unit 134 may first select a color (a color with high sensitivity) that changes significantly depending on the deterioration factor expected in the usage environment of the tire 30. For example, if high temperature (e.g., a temperature of 80°C) is expected as a deterioration factor, the color selection unit 134 may select a color that fades significantly at high temperatures (e.g., magenta). The color selection unit 134 may further select a contrast color. For example, the color selection unit 134 may select a contrast color that fades at high temperatures only under aerobic conditions (e.g., yellow). For example, in determining the deterioration state, if there is no fading in yellow and there is significant fading in magenta, it is possible to more accurately identify that the deterioration factor is high temperature rather than oxygen. Here, the color selection unit 134 references the color change database 121 when selecting a 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 deterioration factor can be accurately identified in the deterioration state determination. The color selection unit 134 specifies, for example, magenta where R is 255 and B is 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 using coordinates.

[0056] Furthermore, for the purpose of control correction, which will be described later, the color selection unit 134 selects a color having color components that are resistant to fading and includes it in the indicator data.

[0057] In this embodiment, the color selection unit 134 selects multiple colors that can identify the same deterioration factor, and generates indicator data such that each of the multiple colors that can identify the same deterioration factor is applied to a different position on the indicator 31. By configuring the color pattern 33 in this manner, even if part of the indicator 31 becomes unidentifiable due to dirt or the like after it has been attached 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 multiple color patterns 33 are in different positions.

[0058] 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 sent to the deterioration state determination device 10 as an image showing the initial state of the indicator 31.

[0059] 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 about the created indicator 31 is managed by the indicator database 123.

[0060] 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 that associates an identifier 32 (ID), a photographing date and time, an initial value flag, ink (Ink), color components (R, G, B), and a color position. For a newly created indicator 31, information on the identifier 32 and color position is extracted from the indicator data, and 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, ink, and 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 color components may be performed 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, data with the initial value flag set to "1" includes the initial color state 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 the identifier 32 after it has been attached to the tire 30, and is added to the indicator database 123 by the third process.

[0061] 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, when maintenance of the tire 30 is performed at the management facility 61. Therefore, the third process may be executed multiple times.

[0062] The data acquisition unit 131 receives image data of the indicator 31 (step S21).

[0063] The identifier extraction unit 135 extracts the identifier 32 from the image data acquired by the data acquisition unit 131 (step S22).

[0064] 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.

[0065] 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 for differences in the amount of light within the color pattern 33 that occur due to the shooting environment.

[0066] 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 its initial state. The color component extraction unit 136 extracts a color component (e.g., the G component of cyan) that is less likely to fade and is included in the color pattern 33, and adjusts its gradation to the initial state. This process allows the light amount to be adjusted to match the image of the indicator 31 at the time of creation.

[0067] 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 are identified for cyan, magenta, yellow, and at least some mixed colors thereof contained in the color pattern 33.

[0068] 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, an average value may be used as the color component value 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 unsoiled area. While the extracted color component values ​​of each ink may be used to determine deterioration, in this embodiment, the deterioration determination 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 data from the indicator database 123.

[0069] 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".

[0070] The deterioration determination unit 137 reads out the color change database 121. The deterioration determination unit 137 also reads out the deterioration determination model 122 (step S29).

[0071] The deterioration determination unit 137 uses the deterioration determination model 122 to determine the deterioration of the tire 30 based on the color change database 121 and the color components extracted from the image (step S30, deterioration determination step).

[0072] 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, if the initial color components, G 253 and B 253, are cyan and fade (change) to G 236 and B 226, the deterioration determination unit 137 calculates that the color component changes are G 17 and B 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 make the estimation using a known method, such as regression analysis, using the data constituting the color change database 121.

[0073] 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, assume that the color change database 121 contains data that indicates that the R of magenta changes from 255 to 220 when "left for 10 hours in an environment at a temperature of 80°C and 20% oxygen." The deterioration determination unit 137 may, for example, calculate and compare the change in R of magenta in addition to cyan in the above example, thereby improving the accuracy of estimating the amount of the deterioration factor, and as a result, be able to determine the deterioration state of the tire 30 with higher accuracy.

[0074] 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 multiple indexes of the deterioration state of the tire 30, including the service life.

[0075] The determination result output unit 138 outputs the determination result by the deterioration determination unit 137 (step S31). The manager of the management facility 61 may suggest to the user methods of replacing, repairing, retreading, etc. the tire 30 based on the indicator of the deterioration state of the tire 30 indicated as the determination result.

[0076] As described above, the degradation state determining method and degradation state determining device 10 according to this embodiment can determine the degradation state of an object with high accuracy by using the above-described configuration.

[0077] 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 would easily be able to make various modifications or alterations based on the present disclosure. Therefore, it should be noted that these modifications and alterations are included within the scope of the present disclosure. For example, the functions included in each component or step can be rearranged so as not to cause logical inconsistencies, and multiple components or steps can be combined or divided into one. The embodiments of the present disclosure can also be realized as a program executed by a processor included in an apparatus or a storage medium on which a program is recorded. It should be understood that these are also included within the scope of the present disclosure.

[0078] 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 it with visible light. For example, image data of the indicator 31 may be an image captured by irradiating it with invisible light such as UV (ultraviolet) light. In an image captured by irradiating it with invisible light, the color change (sensitivity) to a specific deterioration factor may be greater than in an image captured by irradiating it with visible light. Therefore, an image captured by irradiating it with invisible light may be used when investigating the effect of a specific deterioration factor in detail. [Explanation of symbols]

[0079] 1. Deterioration state determination system 10. Deterioration state determination device 11 Communications Department 12 Storage section 13 Control Unit 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 131 Data Acquisition Unit 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

Claims

1. A degradation state determination method executed by a degradation state determination device that determines a degradation state of an object based on the color of an indicator attached to the object, the degradation state of the object being determined, comprising: a color change database generation step in which the deterioration state determination device generates a color change database including data indicating a relationship between a change in color of the indicator and an amount of a deterioration factor that deteriorates the object; a color selection step in which the deterioration state determination device selects a color to be used for the indicator so that the amount of the deterioration factor can be identified; a color component extraction step in which the deterioration state determination device acquires an image of the indicator attached to the object and extracts color components from the image; a deterioration determination step in which the deterioration state determination device determines the deterioration state of the object based on the color change database and color components extracted from the image using a deterioration determination model that receives the amount of the deterioration factor as an input and outputs an index of the deterioration state of the object, The object is a tire, a deterioration state determination method in which the indicators are multiple, each of the multiple indicators being attached to a different position on the tire, and the different positions on the tire including at least one of a sidewall portion, a surface of an inner liner, and a groove portion of a tread portion.

2. The deterioration determination step includes: The color components extracted from the image are compared with an initial state to calculate a change in the color components; The deterioration state determining method according to claim 1 , further comprising determining the deterioration state of the object based on the amount of the deterioration factor identified from the change in color component.

3. 3. The degradation state determination method according to claim 2, wherein the degradation determination step calculates the color component changes for a plurality of color components that show different changes for one of the degradation factors, and identifies the amount of the degradation factor from the plurality of color component changes.

4. The degradation state determination method according to claim 1 , wherein the degradation factors include at least one of heat, oxygen, water, ultraviolet light, and ozone.

5. the color selecting step selects a plurality of colors that can identify the same deterioration factor; The deterioration state determination method according to claim 1 , wherein the indicator is configured by applying a plurality of colors capable of identifying the same deterioration factor at different positions.

6. A degradation state determination device that determines a degradation state of an object based on the color of an indicator attached to the object, the degradation state of which is to be determined, a color change database generating unit that generates a color change database including data indicating a relationship between a change in color of the indicator and an amount of a deterioration factor that deteriorates the object; a color selection unit that selects a color to be used for the indicator so that the amount of the deterioration factor can be identified; a color component extraction unit that acquires an image of the indicator attached to the object and extracts color components from the image; a deterioration determination unit that determines a deterioration state of the object based on the color change database and color components extracted from the image using a deterioration determination model that receives an amount of the deterioration factor as an input and outputs an index of the deterioration state of the object, The object is a tire, The deterioration state determination device has a plurality of indicators, each of which is attached to a different position on the tire, and the different positions on the tire include at least one of a sidewall portion, a surface of an inner liner, and a groove portion of a tread portion.

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