Temperature information calculation device, quality control method, and quality control system

Abstract

The present invention provides a temperature information calculation device that calculates information relating to the temperature and time of an object using a time-temperature indicator that changes color density in response to changes in temperature and time. [Solution] The temperature information calculation device 100 according to the present invention comprises a memory unit 120 that stores in advance, for a plurality of temperatures, master curves that represent the relationship between color density and time at a predetermined temperature indicated by a time-temperature indicator 400, and a calculation unit 130 that calculates information about the temperature of the environment in which the object is placed using information about the color density and the time read from the time-temperature indicator 400 attached to the object, information about the color density at a reference point and the time at the reference point, and the master curve stored in the memory unit 120.

Description

[Technical Field]

[0001] The present invention relates to a temperature information calculation device, a temperature information calculation method, a quality control method, and a quality control system that calculate information about the temperature of an object, in particular, information about temperature and time. [Background technology]

[0002] Fruits such as melons, mangoes, and peaches undergo a post-harvest ripening process and are said to be best eaten after a certain period of time has passed since harvest. Wine, sake, and meat also undergo a ripening process, and their flavor changes over time. It is also known that the number of days required for these foods to ripen depends on temperature. Therefore, in order to know when these foods are best to eat or drink, it is necessary to continuously control the temperature throughout the production, transportation, and distribution process.

[0003] In order to constantly measure and record the temperature of food and other objects during distribution, data loggers that can continuously record time and temperature are often used.

[0004] Examples of conventional techniques for calculating when food is ready to eat are described in Patent Documents 1 and 2.

[0005] Patent Document 1 discloses a ripeness-to-eat management device that enables consumers to accurately determine when processed foods are ripe to eat. In the ripeness-to-eat management device disclosed in Patent Document 1, when a consumer reads a code symbol attached to a food product with a reading device, the code symbol data is sent to a ripeness-to-eat management server, which then determines when the food is ripe to eat based on the information contained in the code symbol. In this way, consumers can determine when the food is ripe to eat even after the food product has been delivered to them.

[0006] Patent Document 2 discloses a method for detecting when food is ripe to eat, which periodically acquires environmental information and calculates the appropriate time for consumers and store clerks to eat it. In the method disclosed in Patent Document 2, a non-contact tag equipped with a sensor, antenna, and memory is attached to each individual food item, environmental information is periodically acquired from the sensor and stored in memory, the memory contents are read by detection devices installed at multiple points along the distribution route and stored in a server, and the ripeness for eating of each individual food item is calculated based on future distribution route information and past environmental information. [Prior art documents] [Patent documents]

[0007] [Patent Document 1] Japanese Patent Application Publication No. 2020-57279 [Patent Document 2] Japanese Patent Application Laid-Open No. 2005-280909 Summary of the Invention [Problem to be solved by the invention]

[0008] The ripeness-to-eat management device described in Patent Document 1 calculates the ripeness of food by considering only the ambient temperature of the manufacturing factory when the food is being manufactured as temperature information. In contrast, the ripeness-to-eat detection method described in Patent Document 2 can calculate the ripeness of food by considering temperature information from the time the food is delivered to the consumer. However, in order to calculate the ripeness of each food item, it is necessary to attach a non-contact tag equipped with a sensor, antenna, and memory to every food item, which increases costs. In addition, it is necessary to obtain in advance the correlation between detailed temperature information and the ripeness of food.

[0009] In last-mile logistics, for example, it is necessary to manage each item individually, making it difficult to use data loggers due to cost and size considerations. Furthermore, determining when an item is best to eat or drink it requires information about the temperature and number of days since it was delivered to the consumer. Therefore, it is necessary to obtain information about the temperature and number of days (i.e., time) of an item and, from this information, use a simple method to derive an index indicating when the item is best to eat or drink it.

[0010] The object of the present invention is to provide a temperature information calculation device, a temperature information calculation method, a quality control method, and a quality control system that calculates information about the temperature and time of an object using a time-temperature indicator whose color intensity changes in accordance with changes in temperature and time, in order to realize a quality control system that makes information about the quality of an object consistently available from shipping to consumption. [Means for solving the problem]

[0011] The temperature information calculation device according to the present invention comprises a memory unit that stores in advance, for a plurality of temperatures, master curves that represent the relationship between color density and time at a predetermined temperature indicated by a time-temperature indicator, and a calculation unit that calculates information about the temperature of the environment in which the object is placed using information about the color density and the time read from the time-temperature indicator attached to the object, information about the color density at a reference point and the time at the reference point, and the master curve stored in the memory unit.

[0012] Furthermore, the quality control system according to the present invention uses the color of the ink portion of the cumulative temperature indicator, a master curve showing the relationship between the number of days at a specified temperature and the color density of the ink portion, and the relationship between the quality of the object and the color density to calculate the appropriate storage temperature and the date by which the product will reach the desired quality, such as when it is ready to eat, and presents this to the user. [Effects of the Invention]

[0013] According to the present invention, it is possible to realize a quality control system at low cost and easily, which allows information on the quality of an object to be obtained consistently from shipping to consumption, and in particular, it is possible to consistently provide a new consumption experience, such as quality traceability and prediction of ripeness. [Brief explanation of the drawings]

[0014] [Figure 1] 1 is a diagram illustrating an example of a configuration of a temperature information calculation device according to an embodiment of the present invention. [Figure 2] 10 is a flowchart illustrating an example of a process of a temperature information calculation method according to the present embodiment. [Figure 3] FIG. 10 is a diagram illustrating an example of a master curve. [Figure 4] FIG. 10 illustrates an example of a time temperature indicator. [Figure 5] FIG. 10 is a diagram showing a master curve for 25° C. among the master curves for a plurality of temperatures stored in a color information storage unit. [Figure 6] FIG. 10 is a diagram showing master curves for 25° C. and 15° C. among the master curves for a plurality of temperatures stored in a color information storage unit. [Figure 7] FIG. 10 is a diagram illustrating an example of a screen displayed by an output unit. [Figure 8A] FIG. 10 is a diagram illustrating another example of the configuration of the temperature information calculation device according to the present embodiment. [Figure 8B] FIG. 2 is a diagram illustrating an example of the configuration of a server connected to a temperature information calculation device according to the present embodiment. [Figure 9] FIG. 10 is a diagram showing an example of unique ID information provided on the same printed material as the time-temperature indicator. DETAILED DESCRIPTION OF THE INVENTION

[0015] The temperature information calculation device, temperature information calculation method, quality control method, and quality control system according to the present invention use a time-temperature indicator whose color density changes in response to changes in temperature and time, and calculate information about the temperature and time of an object based on the color density indicated by the time-temperature indicator. The time-temperature indicator has a thermochromic ink printed on its surface, and the color of the thermochromic ink changes in response to changes in temperature and time. The information about the temperature and time of the object includes, for example, the temperature of the environment in which the object is placed, the time the object is placed at that temperature, and the quality of the object.

[0016] Compared to contactless tags equipped with sensors, antennas, and memory, temperature indicators can manage temperature information for individual objects at low cost. While temperature indicators lack the recording accuracy of data loggers, many are inexpensive and can be attached to individual objects. A typical type of temperature indicator stains its surface when the temperature exceeds or falls below a preset temperature. This type of temperature indicator can determine whether an object has been exposed to an abnormal temperature. Since time (e.g., number of days) is important in addition to temperature information to determine when food is ready to eat or drink, a time-temperature indicator (TTI), whose color intensity changes as a function of temperature and time, is desirable. In the time-temperature indicator of this embodiment, the color change rate increases exponentially with increasing temperature, allowing for consistency and correlation between the time-temperature relationship at which the time-temperature indicator changes color and the time-temperature relationship at which food quality or maturity changes.

[0017] When applying a time-temperature indicator to changes in the quality of an object (e.g., food quality, maturity, or freshness), it is necessary to establish a correlation between the relationship between the time and temperature at which the time-temperature indicator changes color and the relationship between the time and temperature at which the object's quality changes. Reaction kinetic analysis, such as the Arrhenius law, is widely used to evaluate changes in the quality of an object. According to this law, the rate of quality change increases exponentially with increasing temperature. In a time-temperature indicator that develops color through crystallization, the crystallization rate increases exponentially with increasing temperature within a certain temperature range. In other words, the color change rate of a time-temperature indicator increases exponentially with increasing temperature. Therefore, it is possible to establish a consistency or correlation between the relationship between the time and temperature at which the time-temperature indicator changes color and the relationship between the time and temperature at which the object's quality changes.

[0018] A temperature information calculation device, a temperature information calculation method, a quality control method, and a quality control system according to embodiments of the present invention will be described in detail below with reference to the drawings. In the following embodiments, as an example, an example will be described in which the object for which temperature information is calculated is food, and the quality of the object is the food's best time to eat (including best time to drink). However, the object of the present invention is not limited to food, and the object can also be any item whose quality changes according to Arrhenius-type temperature dependency. In addition to food, items whose quality changes according to Arrhenius-type temperature dependency include pharmaceuticals, chemical products, agricultural products, cut flowers, plastic and metal parts, and batteries.

[0019] The quality of an object can be arbitrarily determined depending on the object. For example, the quality of food is the food's ripeness, degree of ripeness, and freshness, the quality of medicine is its effectiveness, the quality of chemical products is their strength, the quality of agricultural products is their growth rate, the quality of cut flowers is their transportation quality, the quality of plastic and metal parts is their state of deterioration, and the quality of batteries is their lifespan.

[0020] In the drawings referred to in this specification, the same or corresponding components are designated by the same reference numerals, and repeated description of these components may be omitted. [Example]

[0021] FIG. 1 is a diagram illustrating an example of the configuration of a temperature information calculation device 100 according to an embodiment of the present invention. The temperature information calculation device 100 includes a color information acquisition unit 110, a color information storage unit 120, a temperature information calculation unit 130, a unique ID information acquisition unit 140, a quality information storage unit 150, an input unit 160, and an output unit 170. The temperature information calculation device 100 can be configured as a mobile information terminal with a camera function, such as a smartphone or a tablet terminal. Furthermore, the temperature information calculation device 100 may include a database 180 and AI 190 (artificial intelligence), as will be described later.

[0022] The temperature information calculation device 100 can be connected to a communication network such as the Internet, and can be connected to a server 200 via the communication network. The temperature information calculation device 100 can communicate with the server 200 and send and receive information therebetween.

[0023] The temperature information calculation unit 130 may be provided in a server 200 connected to the temperature information calculation device 100, rather than in the temperature information calculation device 100. Furthermore, the temperature information calculation device 100 may include only the color information acquisition unit 110, the unique ID information acquisition unit 140, the input unit 160, and the output unit 170 among the above components.

[0024] 8A is a diagram showing another example of the configuration of the temperature information calculation device 100 according to this embodiment. The temperature information calculation device 100 includes a color information acquisition unit 110, a unique ID information acquisition unit 140, an input unit 160, and an output unit 170.

[0025] FIG. 8B is a diagram illustrating an example of the configuration of the server 200 connected to the temperature information calculation device 100 according to this embodiment.

[0026] When the temperature information calculation device 100 has the configuration shown in FIG. 8A, the server 200 includes a color information storage unit 120, a temperature information calculation unit 130, a quality information storage unit 150, a database 180, and an AI 190.

[0027] The temperature information calculation device 100 according to this embodiment can execute the temperature information calculation method according to this embodiment.

[0028] A time-temperature indicator is attached to an object from which information about temperature and time is desired to be acquired. A time-temperature indicator changes color in response to the cumulative temperature and time, and is, for example, a sticker, label, card, or the like, on which thermochromic ink is printed or applied. The time-temperature indicator may also indicate a temperature change by the penetration of a liquid. Hereinafter, stickers, labels, cards, and the like on which thermochromic ink is printed or applied are referred to as printed matter.

[0029] The time-temperature indicator may be applied directly to the object or adjacent to the object. For example, the time-temperature indicator may be affixed to the object, or a printed material may be placed adjacent to the object. The time-temperature indicator may also be printed, imprinted, painted, or transferred directly onto the object.

[0030] The color information acquisition unit 110 acquires the color density indicated by the time-temperature indicator, whose color density changes in response to changes in temperature and time. The color information acquisition unit 110 may include an optical device capable of acquiring and storing optical information, such as a camera, an optical sensor, or a colorimeter. The color information acquisition unit 110 acquires the color density indicated by the time-temperature indicator, for example, by taking an image of the time-temperature indicator and reading the time-temperature indicator.

[0031] The color information storage unit 120 stores in advance the relationship between color density and time indicated by the time-temperature indicator for multiple temperatures. This relationship between color density and time can be obtained through experiments conducted in advance. Hereinafter, the curve representing the relationship between color density and time indicated by the time-temperature indicator is referred to as a master curve. Because the master curve differs depending on the type of thermochromic ink, the color information storage unit 120 stores in advance master curves for multiple types of thermochromic ink. In other words, the color information storage unit 120 stores in advance master curves for multiple temperatures for each of multiple types of thermochromic ink. The master curve for a certain thermochromic ink at a given temperature T may be stored as the formula V=f(t) or as a data sheet of (t, V). Here, V represents color density and t represents time.

[0032] The temperature information calculation unit 130 calculates information about the temperature and time of the object based on the master curve (the relationship between time and color density indicated by the time-temperature indicator for multiple temperatures) stored in the color information storage unit 120 and the color density indicated by the time-temperature indicator acquired by the color information acquisition unit 110. The information about the temperature and time of the object includes information about the quality of the object, such as the average temperature of the environment in which the object is placed and the best time to eat the food object.

[0033] The unique ID information acquisition unit 140 acquires the unique ID information of the object. The unique ID information includes a unique value, which is information that identifies the object. The unique ID information may further include a product type and a label type. The product type is information that indicates the type of object. The label type is information that indicates the type of thermochromic ink in the time-temperature indicator. The change in color density over time of the time-temperature indicator, i.e., the master curve, differs depending on the type of thermochromic ink.

[0034] The unique ID information of an object is recorded in the form of a code such as a two-dimensional code or a character string, and is printed on a sticker, label, card, etc. The unique ID information may be attached directly to the object or attached adjacent to the object. For example, the unique ID information may be provided on the same printed material as the time-temperature indicator, as shown in FIG. 9, or may be attached to the object separately from the time-temperature indicator (not shown).

[0035] FIG. 9 is a diagram showing an example of unique ID information provided on the same printed material as the time-temperature indicator.

[0036] The unique ID information acquisition unit 140 acquires the unique ID information of the object by reading a code or character string on the object. The unique ID information acquisition unit 140 can be configured with an optical device similar to that of the color information acquisition unit 110. Note that the device that reads the code or character string on the object and the device that reads the time-temperature indicator may be a common optical device.

[0037] Among the unique ID information, the product type and label type may not be acquired by the unique ID information acquisition unit 140, but may be stored in one or both of the temperature information calculation device 100 and the server 200. For example, when the temperature information calculation device 100 is used for a specific object or a specific time-temperature indicator, the product type and label type can be used by referring to data stored in the temperature information calculation device 100 or the server 200, even if they are not acquired by the unique ID information acquisition unit 140. For example, the temperature information calculation unit 130 can calculate information related to the temperature and time of the object using a master curve for the thermochromic ink obtained from the label type stored in the server 200.

[0038] The quality information storage unit 150 stores in advance the relationship between the quality of an object and the color density of the time-temperature indicator. The quality of an object can be represented by the color density of the time-temperature indicator. For example, the quality information storage unit 150 stores a relationship in which the quality of the object is in a specific state when the color density of the time-temperature indicator is within a specific range. For example, if the quality of the object is such that the food is ripe to eat, the quality information storage unit 150 stores a relationship in which the food is ripe to eat when the color density V is equal to or greater than Va and less than Vb.

[0039] Furthermore, the quality of an object can be divided into a plurality of levels according to the degree of quality. For example, if the quality of an object is the ripeness of a food product, and the degree of quality is the softness of the food product, the ripeness of the food product can be divided into a plurality of levels according to the softness of the food product (for example, the higher the level, the softer the food product). This allows the ripeness of the food product to correspond to consumer preferences. The quality information storage unit 150 can also store a relationship such that, for example, when the color density V is equal to or greater than V1 and less than V2, the ripeness of the food product is level 1, and when the color density V is equal to or greater than V2 and less than V3, the ripeness of the food product is level 2.

[0040] The temperature information calculation unit 130 can acquire the relationship between the quality of the object and the color density of the time-temperature indicator from the quality information storage unit 150.

[0041] The input unit 160 is a component that allows a user of the temperature information calculation device 100 to input information to the temperature information calculation device 100 .

[0042] The output unit 170 has a screen and displays the calculation results of the temperature information calculation device 100 and the information input by the input unit 160 on the screen. For example, the output unit 170 displays the average temperature of the environment in which the object is placed and the quality of the object (e.g., when the food is ripe to eat), which are calculated by the temperature information calculation unit 130. The output unit 170 also displays a message about the quality of the object. Examples of messages about the quality of the object include a message informing that the quality is within a predetermined quality range, and a message informing that the quality is outside the predetermined quality range.

[0043] 2 is a flowchart showing an example of the process of the temperature information calculation method according to the embodiment of the present invention. The temperature information calculation method according to the embodiment is executed by the temperature information calculation device 100 according to the embodiment.

[0044] In S201, the color information acquisition unit 110 reads the time-temperature indicator of the object, and the unique ID information acquisition unit 140 reads the code or character string of the object.

[0045] In S202, the color information acquisition unit 110 acquires the color density indicated by the time-temperature indicator, and the unique ID information acquisition unit 140 acquires the unique ID information of the object. Furthermore, the color information acquisition unit 110 acquires the date and time when the time-temperature indicator was read (read date and time).

[0046] In S203, the temperature information calculation unit 130 calculates information about the temperature and time of the object (including information about the quality of the object), such as the average temperature of the environment in which the food is placed and the best time to eat the food, based on the color density of the time-temperature indicator acquired by the color information acquisition unit 110 and the master curve stored in the color information storage unit 120. The temperature information calculation unit 130 can also calculate the cumulative temperature of the environment in which the food is placed.

[0047] In S204, the output unit 170 displays information about the temperature and time of the object calculated by the temperature information calculation unit 130, such as the average temperature of the environment in which the food is placed and the best time to eat the food. The output unit 170 can also display the accumulated temperature of the environment in which the food is placed, calculated by the temperature information calculation unit 130. Furthermore, the output unit 170 can display a message about the quality of the object (for example, a message informing that the quality is within a predetermined quality range, or a message informing that the quality is outside the predetermined quality range). The items displayed by the output unit 170 in S204 will be described below.

[0048] Fig. 3 is a diagram showing an example of a master curve. The color information storage unit 120 stores, as master curves, curves that represent the relationship between time and color density indicated by the time-temperature indicator for a plurality of temperatures. Fig. 3 shows, as an example, curves that represent the relationship between time and color density indicated by the time-temperature indicator for three temperatures: 5°C, 15°C, and 25°C. The time on the horizontal axis represents the number of days elapsed since an arbitrarily determined reference time.

[0049] The color intensity indicated by the time-temperature indicator changes over time (number of days) for each of multiple temperatures. As shown in Figure 3, the color intensity changes more rapidly as the temperature increases. That is, the time-temperature indicator has the characteristic that the rate at which the color intensity changes increases as the temperature increases within a certain temperature range determined by the time-temperature indicator (at least a temperature range of 5°C to 25°C). Also, as shown in Figure 3, the color intensity increases monotonically as the number of days passes. That is, the time-temperature indicator has the characteristic that the color intensity increases monotonically with time within a certain time range determined by the time-temperature indicator.

[0050] 4 is a diagram showing an example of a time-temperature indicator 400. In this embodiment, the time-temperature indicator 400 includes an ink portion 401, a reference color portion 402, and a reference color portion 403.

[0051] The ink portion 401 is the portion where thermochromic ink is printed. The color information acquisition unit 110 calculates the color density of the time-temperature indicator based on the color of the ink portion 401. The color of the ink portion 401 read by the color information acquisition unit 110 is called the read color. The color information acquisition unit 110 acquires the RGB values ​​(r', g', b') of the read color.

[0052] The reference color portion 402 is the portion printed with a reference color when the color information acquisition unit 110 calculates the color density of the time-temperature indicator. The color of the reference color portion 402 read by the color information acquisition unit 110 is called the reference color. The color density of the reference color does not change. The color information acquisition unit 110 acquires the RGB values ​​(R1, G1, B1) of the reference color.

[0053] The reference color portion 403 is a portion where a color that the color information acquisition unit 110 uses to correct the read color and the reference color is printed. The color of the reference color portion 403 read by the color information acquisition unit 110 is called the reference color. The reference color is a color that is different from the reference color and does not change in color density. The color information acquisition unit 110 acquires the RGB values ​​(R0, G0, B0) of the reference color.

[0054] The color information acquisition unit 110 reads the read color, the standard color, and the reference color, and corrects the read color and the standard color using the reference color. In this embodiment, the color information acquisition unit 110 corrects the read color and the standard color according to the following formula: Corrected read color (r, g, b) = (r'-R0, g'-G0, b'-B0) Corrected reference color (R, G, B) = (R1-R0, G1-G0, B1-B0) The color information acquisition unit 110 calculates the color density of the time-temperature indicator using the corrected read color and the corrected reference color. In this embodiment, the color information acquisition unit 110 calculates the color density according to the following formula: Color density V0=(r*R+g*G+b*B) / (R^2+G^2+B^2) As described above, the color information acquisition unit 110 reads the time-temperature indicator of the object and acquires the color density V0 indicated by the time-temperature indicator.

[0055] The temperature information calculation unit 130 calculates information about the temperature and time of the object, such as the average temperature of the environment in which the food is placed and the best time to eat the food, from the color density V0 of the time-temperature indicator acquired by the color information acquisition unit 110 and the master curve (e.g., Figure 3) stored in the color information storage unit 120.

[0056] An example of a method by which temperature information calculation unit 130 calculates the ripeness of food from the color density V0 of the time-temperature indicator and the master curve will now be described with reference to Fig. 5. Temperature information calculation unit 130 calculates information about the ripeness of food using the relationship between the ripeness of food and the color density of the time-temperature indicator, which is stored in quality information storage unit 150.

[0057] 5 is a diagram showing a master curve for 25°C among the master curves for multiple temperatures (e.g., FIG. 3) stored in the color information storage unit 120. 25°C is selected as an example of a food storage temperature, and a master curve related to the storage temperature of the object may be selected as appropriate.

[0058] First, the temperature information calculation unit 130 acquires the range of color density V (e.g., Va or more and less than Vb) when the food is ripe to eat from the quality information storage unit 150. In this example, when the color density V reaches Va, the food is ripe to eat. The range of color density V when the food is ripe to eat can be determined arbitrarily in advance.

[0059] Next, the temperature information calculation unit 130 refers to the master curve for 25°C (Figure 5) and calculates the number of days T0 corresponding to the color density V0 of the time-temperature indicator acquired by the color information acquisition unit 110 and the number of days Ta corresponding to the color density Va at the ripe point of eating.

[0060] Then, the temperature information calculation unit 130 calculates the number of days T25 until the food is ready to eat as T25=Ta-T0.

[0061] In this way, the temperature information calculation unit 130 can calculate the ripeness to eat (the number of days T25 until the food is ripe for eating) when the temperature of the environment in which the food is placed is 25° C. If the ripeness to eat is divided into multiple levels, the temperature information calculation unit 130 can calculate the ripeness to eat as the number of days until the color density of each level is reached (for example, color density V1 for level 1, color density V2 for level 2).

[0062] In this way, the temperature information calculation unit 130 calculates the best time to eat food for each of the multiple temperatures stored in the master curve (for example, three temperatures of 5°C, 15°C, and 25°C).

[0063] In this way, the temperature information calculation unit 130 can calculate the time to eat a food item (the number of days until the food item is ready to eat) according to the temperature of the environment in which the food item is placed.

[0064] Here, an example of a method by which the temperature information calculation unit 130 calculates the average temperature of the environment in which the food is placed from the color density V0 of the time-temperature indicator and the master curve will be described with reference to Fig. 6. The average temperature is the average temperature at two different points in time.

[0065] Of these two time points, the color density of the time-temperature indicator at the first time point is V01, and the color density of the time-temperature indicator at the second time point is V02. The color information acquisition unit 110 acquires the color density V01 at the first time point and the color density V02 at the second time point.

[0066] For ease of explanation, the following describes an example in which the average temperature of the environment in which food is placed is calculated using master curves for two temperatures, 25°C and 15°C.

[0067] FIG. 6 is a diagram showing master curves for 25° C. and 15° C. among the master curves for a plurality of temperatures stored in the color information storage unit 120. In FIG.

[0068] First, the temperature information calculation unit 130 obtains the number of days corresponding to the color density V01 of the time-temperature indicator at each temperature from the master curves for multiple temperatures stored in the color information storage unit 120. In this embodiment, for a temperature of 25°C, the temperature information calculation unit 130 refers to the master curve for 25°C and obtains the number of days T1 corresponding to the color density V01, and for a temperature of 15°C, it refers to the master curve for 15°C and obtains the number of days T1' corresponding to the color density V01.

[0069] Next, the temperature information calculation unit 130 calculates the number of days ΔT that have elapsed from the first time point when the color density of the time-temperature indicator is V01 to the second time point when the color density of the time-temperature indicator is V02. The temperature information calculation unit 130 calculates the number of days ΔT that have elapsed from the reading date and time of the color density V01 (first time point) and the reading date and time of the color density V02 (second time point) that are acquired by the color information acquisition unit 110.

[0070] Next, the temperature information calculation unit 130 obtains the color density V at the time ΔT days have elapsed since the number of days corresponding to the color density V01 from the master curve for each temperature. In this embodiment, for a temperature of 25°C, the temperature information calculation unit 130 references the master curve for 25°C and obtains the color density V2 at the time T2 (=T1+ΔT) that is ΔT days after the number of days T1 corresponding to the color density V01, and for a temperature of 15°C, the temperature information calculation unit 130 references the master curve for 15°C and obtains the color density V2' at the time T2' (=T1'+ΔT) that is ΔT days after the number of days T1' corresponding to the color density V01.

[0071] Next, the temperature information calculation unit 130 determines whether the color density V02 of the time-temperature indicator at the second time point is closer to color density V2 or color density V2'. Then, the temperature information calculation unit 130 determines the temperature of the master curve that represents the color density closer to color density V02 as the average temperature of the environment in which the food is placed (the average temperature at the first and second time points).

[0072] 6, color density V02 is close to color density V2 obtained from the master curve of 25°C, so temperature information calculation unit 130 sets the temperature (25°C) of the master curve (25°C master curve) that represents color density V2 close to color density V02 as the average temperature of the environment in which the food is placed (average temperature between the first and second points in time). In other words, temperature information calculation unit 130 calculates the average temperature of the environment in which the food is placed to be 25°C.

[0073] If there are multiple master curves that represent color densities close to the color density V02, the temperature information calculation unit 130 may determine the range of temperatures of these master curves as the range of the average temperature.

[0074] Alternatively, the average temperature T02 may be calculated using the following formula or the like from the values ​​of two master curves that represent color densities close to the color density V02. Here, the temperatures of the master curves that represent similar color densities are defined as α and β (α>β), and the color density of master curve α at the second point in time is defined as Vα, the color density of master curve β is defined as Vβ, and the temperatures are defined as Tα and Tβ. T02=(V02-Vβ)(Tα-Tβ) / (Vα-Vβ)+Tβ When α=25℃ and β=15℃, T02=(V02-V15)(T25-T15) / (V25-V15)+T15.

[0075] In this way, the temperature information calculation unit 130 can calculate the average temperature of the environment in which the food is placed from the color densities V01 and V02 of the time-temperature indicator acquired by the color information acquisition unit 110 and the master curves for multiple temperatures stored in the color information storage unit 120. That is, the temperature information calculation unit 130 uses the color densities at two time points obtained by reading the time-temperature indicator and the master curves for multiple temperatures to find a master curve from these master curves that shows a change in color density closest to the change in color density at the two time points, and can calculate the temperature for the found master curve as the average temperature of the environment in which the food is placed.

[0076] The above explanation has been given of an example in which the color information acquisition unit 110 acquires the color density V01 at a first point in time and the color density V02 at a second point in time of the time-temperature indicator, and the temperature information calculation unit 130 calculates the average temperature of the environment in which the food is placed using these color densities V01 and V02.

[0077] The color information acquisition unit 110 may acquire only the color density V02 at the second time point without acquiring the color density V01 at the first time point. In this case, the temperature information calculation unit 130 may use a value previously stored in the temperature information calculation unit 130 as the color density V01 at the first time point. For example, the temperature information calculation unit 130 may set the day the food was harvested (a day when the number of days is zero) as the first time point, and store the color density V01 at the first time point as a predetermined initial value. In this way, the color information acquisition unit 110 need only acquire the color density once.

[0078] The temperature information calculation unit 130 can calculate the accumulated temperature of the environment in which the food is placed. This accumulated temperature is the accumulated temperature between the two points in time at which the average temperature was calculated. The temperature information calculation unit 130 calculates the accumulated temperature by multiplying the calculated average temperature by the number of days that have passed ΔT. The temperature information calculation unit 130 can display the calculated accumulated temperature on the output unit 170.

[0079] In response to a command from temperature information calculation section 130, output section 170 displays the best time to eat the food, and the average temperature and integrated temperature of the environment in which the food is placed, which are calculated by temperature information calculation section 130.

[0080] The temperature information calculation unit 130 may calculate a temperature related to the average temperature instead of or in addition to the average temperature. The temperature related to the average temperature is, for example, a temperature obtained by multiplying the average temperature by a first constant, a temperature obtained by adding a second constant to the average temperature, or a temperature obtained by multiplying the average temperature by the first constant and adding the second constant to the temperature obtained by multiplying the average temperature by the first constant. The first constant and the second constant can be determined arbitrarily in advance.

[0081] Furthermore, the temperature information calculation unit 130 may calculate a temperature related to the integrated temperature instead of or in addition to the integrated temperature. The temperature related to the integrated temperature is, for example, a temperature obtained by multiplying the integrated temperature by a third constant, a temperature obtained by adding a fourth constant to the integrated temperature, or a temperature obtained by multiplying the integrated temperature by the third constant and adding the fourth constant to the temperature obtained by multiplying the integrated temperature by the third constant. The third constant and the fourth constant can be determined arbitrarily in advance. Furthermore, in addition to the constant, a value related to the average temperature may be multiplied or added.

[0082] The accumulated temperature indicator is read for each logistics event such as storage and transportation (sea transport, land transport, last mile, etc.), linked to a unique ID, and recorded. The temperature information calculation unit 130 in this embodiment calculates the average temperature and / or accumulated temperature, making it possible to trace the state of logistics.

[0083] The temperature information calculation unit 130 can calculate information about the temperature and time of the object, such as the average temperature of the environment in which the food is placed and the best time to eat the food, using the unique ID information of the object acquired by the unique ID information acquisition unit 140. If the unique ID information includes a label type indicating the type of thermochromic ink in the time-temperature indicator, the temperature information calculation unit 130 identifies the type of thermochromic ink in the time-temperature indicator from the unique ID information and uses a master curve for the identified thermochromic ink. As described above, the master curve differs depending on the type of thermochromic ink, so by using the master curve for the identified thermochromic ink, the temperature information calculation unit 130 can more accurately calculate the average temperature and the best time to eat the food.

[0084] When the color density V0 acquired by color information acquisition unit 110 by reading the time-temperature indicator is within the range of color density V at which the food is ready to eat, temperature information calculation unit 130 can cause output unit 170 to display that the food is ready to eat. Furthermore, when the color density V0 is outside the range of color density V at which the food is ready to eat, temperature information calculation unit 130 can cause output unit 170 to display that the food is past its ready to eat age.

[0085] Output unit 170 displays a message informing the user that the food is ready to eat or a message informing the user that the food is past its best time to eat, in response to a command from temperature information calculation unit 130. In this way, output unit 170 displays a message informing the user that the quality of the object is within a predetermined quality range or a message informing the user that the quality of the object has deviated from the predetermined quality range.

[0086] Furthermore, the temperature information calculation unit 130 can cause the output unit 170 to display the number of days until the food reaches the ripeness for eating for each of the calculated plurality of temperatures related to the master curve. Furthermore, the temperature information calculation unit 130 can cause the output unit 170 to display the number of days that have passed since the food reached the ripeness for eating for each of the plurality of temperatures.

[0087] Output unit 170 displays the number of days until the food reaches a suitable temperature and the number of days that have passed since the food reached a suitable temperature in response to a command from temperature information calculation unit 130. In this way, output unit 170 displays the number of days until the quality of the object reaches a predetermined quality range and the number of days that have passed since the quality of the object entered the predetermined quality range.

[0088] A user of the temperature information calculation device 100 can specify the level of quality of an object using the input unit 160. For example, the user can specify that soft food is ripe to eat.

[0089] The temperature information calculation unit 130 can calculate information about the quality of an object using information about the quality level of the object input by the user using the input unit 160. For example, the temperature information calculation unit 130 can receive the quality level input by the user from the input unit 160 and change the predetermined quality range to correspond to the received quality level. For example, if the user specifies that soft food is ripe to eat, the range of color density V used to calculate the ripeness to eat is changed to a color density range indicating that the food is soft.

[0090] The quality information storage unit 150 can store a relationship such that, for example, when the color density V is equal to or greater than V1 and less than V2, the food is ripe to eat at level 1, and when the color density V is equal to or greater than V2 and less than V3, the food is ripe to eat at level 2, with the food being softer at level 2 than at level 1. For example, if the user specifies that a soft food is ripe to eat, the temperature information calculation unit 130 changes the range of color density V used to calculate the ripeness to eat from, for example, level 1, where the color density V is equal to or greater than V1 and less than V2, to level 2, where the color density V is equal to or greater than V2 and less than V3.

[0091] When a user specifies the quality level of an object, the temperature information calculation device 100 may display the type of object according to the specified quality level and the best time to eat the object. For example, when a user specifies that a soft food is best to eat, the temperature information calculation device 100 may display on the output unit 170 the soft type of food and the best time to eat the food.

[0092] For example, the temperature information calculation device 100 may include a database 180 (FIG. 1) that stores food varieties and their respective best-to-eat times. The temperature information calculation unit 130 references this database 180 to determine the best-to-eat variety (e.g., a soft variety) specified by the user and the best time to eat it. The output unit 170 then displays the variety and best-to-eat time determined by the temperature information calculation unit 130.

[0093] The temperature information calculation device 100 may also include an AI 190 (FIG. 1), which may be used to determine the variety of an object that corresponds to a user-specified ripeness and the best time to eat the object. The AI ​​190 learns the variety of food and the approximate best time to eat each food from data previously input by one or more users. The temperature information calculation unit 130 determines the variety that matches the ripeness specified by the user and the best time to eat it from the data learned by the AI ​​190. The output unit 170 then displays the variety and best time to eat determined by the temperature information calculation unit 130.

[0094] FIG. 7 is a diagram showing an example of a screen 171 displayed by the output unit 170. As shown in FIG.

[0095] For example, the output unit 170 displays the average temperature and cumulative temperature of the environment in which the food is placed, calculated by the temperature information calculation unit 130, and the best time to eat the food (the number of days until the food is ready to eat) according to the temperature of the environment in which the food is placed, on the screen 171. Fig. 7 shows an example in which the range of the average temperature of the environment in which the food is placed is displayed, and the time until the food is ready to eat is displayed.

[0096] Furthermore, the output unit 170 can display, for example, the degree of ripeness of a food item specified by the user of the temperature information calculation device 100 using the input unit 160 on the screen 171. Fig. 7 shows, as an example, an example in which "soft" is specified as the degree of ripeness of a food item (melon).

[0097] As described above, the temperature information calculation method, the temperature information calculation device, and the system for executing the method according to this embodiment store master curves for multiple temperatures of an integrated temperature indicator. The master curves show a monotonically increasing correlation between the number of days at a given temperature and color density. A master curve that approximates the amount of change in color density is searched for using the color density of the integrated temperature indicator, the color density at a reference point, and the number of days (hours) elapsed since the reference point. The master curve is used to calculate the average temperature, and the integrated temperature is calculated using the number of days elapsed and the average temperature. In other words, the temperature information calculation method, the temperature information calculation device, and the system for executing the method according to this embodiment pre-calculate master curves showing the relationship between color density and time at a given temperature for multiple temperatures, and use the difference in color between the ink and elapsed time to calculate information about the temperature of the environment in which the object is located. According to this embodiment, by using a master curve that approximates the amount of change in color density of the integrated temperature indicator, it is possible to accurately calculate the average temperature and integrated temperature of an object by reading the integrated temperature indicator with a device such as a smartphone. This enables low-cost, lightweight, and easy tracing of information related to the quality of an object.

[0098] The reference point in time here may be preset information such as the time of shipment, or may be the point in time when the integrated temperature indicator was previously read. To link the information at the reference point in time with the measured information, it is preferable to link and record the information (color density, date) read from the integrated temperature indicator with a unique ID. By executing the temperature information calculation method of this embodiment at the start and end of each logistics event, it is also possible to trace the storage conditions at each event.

[0099] Furthermore, it is more preferable to use the product information of the object, the color of the ink portion of the integrated temperature indicator, and a master curve to calculate and present to the user the date by which the product will reach its desired quality, such as the appropriate storage temperature and the ideal eating temperature. According to this embodiment, the relationship between the quality and color density of the object is determined in advance, and the number of days until the color density of the object will reach the desired quality is calculated by comparing it with the master curve corresponding to the appropriate storage temperature of the object. By simply reading the time-temperature indicator, the user can obtain information about the quality of the object, such as the ideal eating temperature, as well as the appropriate storage temperature and number of days for storage, which makes it possible to provide an even more innovative consumption experience.

[0100] The product information of the target object can be read from a unique ID assigned to the target object, or the product information can be linked to a device or app that reads the integrated temperature indicator in advance, or the information can be input or selected by the user, or the information can be stored on the server side.In addition, the quality of the target object, such as the ripeness, that is presented to the user can be learned by AI, which can learn the user's preferred quality, and the quality setting can be changed for each user.

[0101] Alternatively, as shown in FIG. 8, a color information acquisition unit 110 and a unique ID information acquisition unit 140 may be configured on the terminal side (edge ​​side) such as a smartphone, and a color information storage unit 120, a temperature information calculation unit 130, a quality information storage unit 150, a database 180, and an AI 190 may be configured on the server 200. That is, the color information and unique information acquired on the terminal side may be sent to the server side (including the cloud), and the average temperature and cumulative temperature may be calculated on the server side using a master curve stored on the server side. The color density information sent from the terminal side to the server side may be the acquired camera image itself or color density calculated on the terminal side. The former has the advantage of being able to store image data, which can be used for traceability reliability and subsequent data analysis, while the latter has the advantage of reducing data communication charges. The average temperature and cumulative temperature information are sent from the server side to the terminal side, and the terminal side presents the necessary information to the user based on the received information.

[0102] The present invention may also have the following features.

[0103] (1) The method is executed by a temperature information calculation device including a color information acquisition unit, a color information storage unit, and a temperature information calculation unit, A time-temperature indicator is attached to the object, and the color density of the time-temperature indicator is changed according to the change in temperature and time. the color information storage unit stores in advance a master curve, which is a curve representing the relationship between the color density indicated by the time-temperature indicator and time, for a plurality of temperatures; a color density acquisition step in which the color information acquisition unit acquires the color density indicated by the time-temperature indicator; a calculation step in which the temperature information calculation unit calculates information about the temperature of the environment in which the object is placed and information about the quality of the object based on the color density acquired by the color information acquisition unit and the master curve stored in the color information storage unit; having A temperature information calculation method comprising:

[0104] (2) the temperature information calculation device includes a unique ID information acquisition unit, The unique ID information includes information for identifying the object and a label type, which is information about the thermochromic ink; the unique ID information acquisition unit has a unique ID acquisition step of acquiring the unique ID information of the object, In the calculation step, the temperature information calculation unit uses the master curve for the temperature indicating ink obtained from the unique ID information acquired by the unique ID information acquisition unit. The temperature information calculation method described in (1).

[0105] (3) the temperature information calculation device includes a quality information storage unit, the quality information storage unit stores in advance a relationship between the quality of the object and the color density; In the calculation step, the temperature information calculation unit calculates information about the quality of the object using the relationship between the quality of the object and the color density stored in the quality information storage unit. The temperature information calculation method described in (1).

[0106] (4) The time-temperature indicator has a characteristic that the rate at which the color density changes increases as the temperature increases within a certain temperature range. The temperature information calculation method described in (1).

[0107] (5) The time-temperature indicator has a characteristic that the color density monotonically increases with time within a certain time range. The temperature information calculation method described in (1).

[0108] (6) the time-temperature indicator comprises an ink portion on which the thermochromic ink is printed, a reference color portion on which a first color whose color density does not change is printed, and a reference color portion on which a second color whose color density does not change is printed, In the color density acquisition step, the color information acquisition unit reads a read color that is the color of the ink portion, a reference color that is the color of the reference color portion, and a reference color that is the color of the reference color portion; the color information acquisition unit corrects the read color and the reference color using the reference color, and calculates the color density using the corrected read color and the corrected reference color; The temperature information calculation method described in (1).

[0109] (7) In the calculation step, the temperature information calculation unit calculates an average temperature or a temperature related to the average temperature at two points in time as the information about the temperature. The temperature information calculation method described in (1).

[0110] (8) In the calculation step, the temperature information calculation unit calculates an integrated temperature between two points in time or a temperature related to the integrated temperature as the information about the temperature. The temperature information calculation method described in (1).

[0111] (9) the temperature information calculation device includes an output unit, an output step in which the output unit outputs information about the temperature calculated by the temperature information calculation unit and information about the quality of the object calculated by the temperature information calculation unit; The temperature information calculation method described in (1).

[0112] (10) In the output step, the output unit displays at least one of a message that the quality of the object is within a predetermined quality range, a message that the quality of the object has left the predetermined quality range, the number of days until the quality of the object reaches the predetermined quality range, and the number of days elapsed since the quality of the object entered the predetermined quality range. (9) The temperature information calculation method according to (9).

[0113] (11) the temperature information calculation device includes an input unit for a user to input information to the temperature information calculation device, In the calculation step, the temperature information calculation unit calculates information about the quality of the object using information about the quality of the object input by the user. The temperature information calculation method described in (1).

[0114] (12) the temperature information calculation device includes a database in which the type and quality of the object are stored, and an output unit; In the calculation step, the temperature information calculation unit refers to the database to find a type of the object corresponding to the quality input by the user and information on the quality of the type, an output step in which the output unit displays information about the variety and the quality of the variety calculated by the temperature information calculation unit; (11) The temperature information calculation method according to (11).

[0115] (13) The temperature information calculation device includes an AI that has learned the type and quality of the object, and an output unit, In the calculation step, the temperature information calculation unit uses the AI ​​to determine the type of the object corresponding to the quality of the object input by the user and information about the quality of this type, an output step in which the output unit displays information about the variety and the quality of the variety calculated by the temperature information calculation unit; (11) The temperature information calculation method according to (11).

[0116] (14) the temperature information calculation device is connected to a server via a communication network, The server stores the label type among the unique ID information, In the calculation step, the temperature information calculation unit uses the master curve for the temperature indicating ink obtained from the label type stored in the server. (2) The temperature information calculation method described above.

[0117] (15) A time-temperature indicator is attached to the object, and the color density of the time-temperature indicator is changed according to the change in temperature and time. a color information acquisition unit that acquires the color density indicated by the time-temperature indicator; a color information storage unit that stores in advance master curves representing the relationship between the color density and time indicated by the time-temperature indicator for a plurality of temperatures; a temperature information calculation unit; Equipped with the temperature information calculation unit calculates information about the temperature of the environment in which the object is placed and information about the quality of the object based on the color density acquired by the color information acquisition unit and the master curve stored in the color information storage unit. A temperature information calculation device characterized by:

[0118] (16) It consists of a mobile information terminal with a camera function. (15) A temperature information calculation device according to (15).

[0119] (17) It is connected to the server via a communication network, the temperature information calculation unit is provided in the server, (15) A temperature information calculation device according to (15).

[0120] The present invention is not limited to the above-described embodiments, and various modifications are possible. For example, the above-described embodiments have been described in detail to clearly explain the present invention, and the present invention is not necessarily limited to embodiments including all of the described configurations. Furthermore, it is possible to replace part of the configuration of one embodiment with the configuration of another embodiment. It is also possible to add the configuration of another embodiment to the configuration of one embodiment. It is also possible to delete part of the configuration of each embodiment, or to add or replace other configurations. [Explanation of symbols]

[0121] 100...Temperature information calculation device, 110...Color information acquisition unit, 120...Color information storage unit, 130...Temperature information calculation unit, 140...Unique ID information acquisition unit, 150...Quality information storage unit, 160...Input unit, 170...Output unit, 171...Screen, 180...Database, 190...AI, 200...Server, 400...Time temperature indicator, 401...Ink unit, 402...Reference color part, 403...Reference color part.

Claims

1. A storage unit that stores in advance master curves representing the relationship between color density and time at a predetermined temperature indicated by a time-temperature indicator for a plurality of temperatures; a calculation unit that calculates information about the temperature of the environment in which the object is placed using information about the color density and the time read from the time-temperature indicator attached to the object, information about the color density at a reference point and the time at the reference point, and a master curve stored in the storage unit; and a quality information recording unit that stores in advance the relationship between the quality and color density of the object; Calculating the quality of the object using the color density read from the time-temperature indicator; the storage unit stores a relationship between color density and quality of the object, The calculation unit is a temperature information calculation device that calculates the time it takes to reach a predetermined quality using a master curve related to the color density read from the time-temperature indicator and the storage temperature of the object.

2. A memory unit that stores in advance master curves representing the relationship between color density and time at a predetermined temperature indicated by a time-temperature indicator for a plurality of temperatures; a calculation unit that calculates information about the temperature of the environment in which the object is placed using information about the color density and the time read from the time-temperature indicator attached to the object, information about the color density at a reference point and the time at the reference point, and a master curve stored in the storage unit; and a quality information recording unit that stores in advance the relationship between the quality and color density of the object; The calculation unit calculates an average temperature at the time of reading from the reference point, the calculation unit calculates an integrated temperature from the average temperature and the time from the reference point to the point of time when the temperature is read; The reference point is a preset initial value or a time point when the time-temperature indicator was previously read, and information on the color density and time at the reference point is stored together with the time-temperature indicator in association with a unique ID assigned to the object, The quality is calculated from the relationship between the quality information of the object linked to the unique ID using the color density read from the time-temperature indicator; the storage unit stores a relationship between color density and quality of the object, The calculation unit is a temperature information calculation device that calculates the time it takes to reach a predetermined quality using a master curve related to the color density read from the time-temperature indicator and the storage temperature of the object.

3. an output unit that outputs the information calculated by the calculation unit to a display unit; The temperature information calculation device according to claim 1 or 2, wherein the display unit displays at least one of a message indicating that the quality of the object is within a predetermined quality range, a message indicating that the quality of the object has left the predetermined quality range, the number of days until the quality of the object reaches the predetermined quality range, and the number of days elapsed since the quality of the object entered the predetermined quality range.

4. The temperature information calculation device according to claim 3, wherein the temperature information calculation device is a mobile terminal including the display unit, a color information acquisition unit that acquires the color density at a predetermined temperature indicated by the time-temperature indicator, the calculation unit, and the display unit.

5. The temperature information calculation device according to claim 1 or 2, wherein the temperature information calculation device is a server or a cloud configured to be able to communicate with a terminal including a color density acquisition unit at a predetermined temperature indicated by a time-temperature indicator.

6. A master curve representing the relationship between color density and time at a predetermined temperature indicated by the time-temperature indicator is stored in advance for a plurality of temperatures, The temperature information calculation method is reading a color density from a time-temperature indicator applied to the object; acquiring information about the time at which the color density was read; obtaining information about color density and time at a reference point; and calculating information about the temperature of the environment in which the object is placed using a master curve that is close to the reference point acquired in the above step and the amount of change in color density and time at the time of measurement, The reference point is a preset initial value or a time when a time-temperature indicator was previously read; In the step of acquiring information about the color density and time at the reference point, the information about the color density and time is acquired from a storage unit in which the information about the color density and time at the reference point is stored in association with a unique ID assigned to the object together with the time-temperature indicator, and A quality control method utilizing the temperature information calculation method, calculating the quality of the object using the color density obtained in the step of reading the color density from the time-temperature indicator attached to the object; calculating the time to reach a predetermined quality from a master curve related to storage temperature; and displaying at least one of a message that the quality of the object is within a predetermined quality range, a message that the quality of the object has left the predetermined quality range, the number of days until the quality of the object reaches the predetermined quality range, and the number of days that have elapsed since the quality of the object entered the predetermined quality range.

7. calculating information about the quality of the object using information about the quality of the object input by a user; a step of obtaining a variety corresponding to the quality of the object input by the user and information on the quality of the variety by referring to a database in which the variety and quality of the object are stored; 7. The quality control method according to claim 6, further comprising the step of displaying information about the determined variety and the quality of the determined variety.

8. A step of using AI that has learned the variety and quality of the object to obtain information on the variety according to the quality of the object input by the user and the quality of this variety; 7. The quality control method according to claim 6, further comprising the step of displaying information about the determined variety and the quality of the variety.

9. A quality control system that uses the color of the ink part of an integrated temperature indicator, a master curve showing the relationship between the number of days at a specified temperature and the color density of the ink part, and the relationship between the quality of the object and the color density to calculate the appropriate storage temperature and the date by which the product will reach the desired quality, such as when it is ready to eat, and presents this to the user.

10. The quality control system according to claim 9 , wherein the relationship between the quality and the color density is updated by learning user preferences using AI.

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