Storage System

Abstract

To realize a processing device which can encourage a user to pick up a food that is desirable to eat.SOLUTION: A processor (3) according to an embodiment of the present disclosure includes: a data acquisition unit (31) for acquiring life data and personal data of a person who wants to take a food; and a control unit (33) for generating recommend data of a food that the person is recommended to take on the basis of the life data and the personal data and controls a storage unit (2) so that the recommended food in the storage unit (2) will be in such a state that can be obtained by the person on the basis of the recommend data.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present disclosure relates to a processing device, a processing method, a processing program, and a storage system. [Background technology]

[0002] It is preferable to eat well-balanced meals and snacks for health, and there are various technologies for suggesting healthy meals and snacks. For example, the food information provision service system in Patent Document 1 generates data on foods that are preferable to purchase and consume based on user data including food cost data related to the cost of the user's meals and nutritional data of the foods, and suggests the data to the user. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2002-366663 A Summary of the Invention [Problem to be solved by the invention]

[0004] The present applicant has found the following problem. For example, when luxury items such as sweets are lined up on a shelf, people naturally tend to pick up the luxury items. Therefore, simply suggesting foods that are preferable for consumption to a user, as in the food information provision service of Patent Document 1, may not cause the user to pick up the foods.

[0005] The present disclosure has been made to solve such problems, and provides a processing device, a processing method, a processing program, and a storage system that can encourage a user to pick up foods that are preferable to consume. [Means for solving the problem]

[0006] A processing device according to an embodiment of the present disclosure includes: A data acquisition unit that acquires lifestyle data and personal data of a person who wishes to consume food; a control unit that generates recommendation data for foods recommended to the desired person based on the lifestyle data and the personal data, and controls the storage unit based on the recommendation data so that the desired person can obtain the recommended foods stored in the storage unit; Equipped with.

[0007] In the above-mentioned processing device, it is preferable that the control unit generates the recommendation data based on data indicating the difference between the upper calorie intake limit of the person wishing to consume food for a predetermined period calculated from the personal data and the calorie consumption for the predetermined period calculated from the lifestyle data.

[0008] In the above-mentioned processing device, the data acquisition unit acquires health data of the person who wishes to take the dietary supplement as the life data, It is preferable that the control unit generates the recommendation data based on data indicating a blood glucose level or a stress state of the person who wishes to take the dietary supplement, the data being obtained from the health data.

[0009] In the above-mentioned processing device, the data acquisition unit acquires schedule data of the person who wishes to consume as the life data, It is preferable that the control unit generates the recommendation data based on data indicating snack times estimated from the schedule data.

[0010] In the above-mentioned processing device, it is preferable that the control unit controls the storage unit based on the recommendation data to unlock an area in which the recommended food is stored, among multiple locked areas in the storage unit where food is stored.

[0011] In the above-mentioned processing device, it is preferable that the control unit generates non-recommendation data for foods that are not recommended for consumption by the person wishing to consume the food based on the personal data, and controls the storage unit so that the non-recommended foods are placed in a predetermined difficult-to-obtain food area within the storage unit based on the non-recommendation data.

[0012] In the above-described processing apparatus, it is preferable that the preset area in the storage unit where food can be obtained is located on the front side within the storage unit relative to the difficult-to-obtain area.

[0013] In the above-described processing apparatus, it is preferable that the preset difficult-to-obtain food area in the storage unit is located at a higher or lower position within the storage unit relative to the accessible food area.

[0014] A storage system according to one embodiment of the present disclosure includes: The processing device as described above; A storage section in which the food is stored; Equipped with.

[0015] A processing method according to one aspect of the present disclosure includes: acquiring lifestyle data and personal data of a person who wishes to consume food; generating recommendation data for foods recommended to the person who wishes to consume the food based on the lifestyle data and the personal data, and controlling the storage unit based on the recommendation data so that the recommended foods stored in the storage unit are available to the person who wishes to consume the food; Equipped with.

[0016] A processing program according to an embodiment of the present disclosure includes: A process of acquiring lifestyle and personal data of the person who wishes to consume the food; generating recommendation data for foods recommended to the person who wishes to consume the food based on the lifestyle data and the personal data, and controlling the storage unit based on the recommendation data so that the recommended foods stored in the storage unit are available to the person who wishes to consume the food; to be executed by the computer. Effect of the Invention

[0017] The present disclosure makes it possible to realize a processing device, a processing method, a processing program, and a storage system that can encourage a user to pick up food that is preferable to consume. [Brief description of the drawings]

[0018] [Figure 1] FIG. 2 is a block diagram showing the configuration of a control system of the storage system of the first embodiment. [Diagram 2] 2 is a front view showing a simplified view of a storage unit main body and a box of the storage unit of the first embodiment. FIG. [Diagram 3] 10 is a flow chart showing an example of a flow of placing boxes in an area of ​​a storage unit body using the processing device of the first embodiment. FIG. [Figure 4] FIG. 11 is a block diagram showing a control system of the storage system of the second embodiment. [Diagram 5] FIG. 11 is a block diagram showing a control system of the storage system of the third embodiment. [Figure 6] FIG. 13 is a block diagram showing a control system of the storage system of the fourth embodiment. [Figure 7] FIG. 13 is a front view showing a storage section main body and a box of a storage section according to a fourth embodiment in a simplified manner. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0019] Hereinafter, specific embodiments to which the present disclosure is applied will be described in detail with reference to the drawings. However, the present disclosure is not limited to the following embodiments. In addition, the following description and drawings are appropriately simplified.

[0020] <Embodiment 1> Fig. 1 is a block diagram showing the configuration of a control system of the storage system of this embodiment. As shown in Fig. 1, the storage system 1 comprises a storage unit 2, a processing device 3, and a database 4, and these storage unit 2, processing device 3, and database 4 are connected via a network 5. Here, the network 5 is a wired or wireless communication line, for example, the Internet.

[0021] Fig. 2 is a front view showing in simplified form the storage unit body and the box of the storage unit of the present embodiment. As shown in Figs. 1 and 2, the storage unit 2 includes a storage unit body 21, a box 22, and a transport device 23. The storage unit body 21 is, for example, a refrigerator-freezer divided into a plurality of rectangular areas A when viewed from the front-rear direction, and the front side (i.e., the front side) of the storage unit body 21 is arranged on the living area side.

[0022] The storage unit main body 21 has a freezer space S1 and a refrigerated space S2, for example, as shown in Fig. 2. The freezer space S1 has, for example, a first area A1-1 at the lower left when looking at the storage unit main body 21 from the front, a second area A1-2 at the lower right, a third area A1-3 at the upper left, and a fourth area A1-4 at the upper right, and the temperatures of the respective areas A1-1, A1-2, A1-3, and A1-4 are controlled so as to maintain the frozen state of the foods.

[0023] In this case, for example, based on the physique of the user of the storage section 2, i.e., the user who wishes to ingest food, the first area A1-1 and the second area 1-2 are areas that are difficult to reach (e.g., difficult-to-reach areas), and the third area A1-3 and the fourth area A1-4 are areas that are easy to reach (e.g., accessible areas).

[0024] In other words, the difficult-to-obtain area is disposed at a lower position than the obtainable area within the storage unit main body 21. Here, it is preferable that each of the areas A1-1, A1-2, A1-3, and A1-4 has a substantially equal shape.

[0025] The refrigerated space S2 is disposed above the freezer space S1, for example, as shown in Fig. 2. The refrigerated space S2 includes, for example, a first area A2-1 at the lower left, a second area A2-2 at the lower right, a third area A2-3 at the center left, a fourth area A2-4 at the center right, a fifth area A2-5 at the upper left, and a sixth area A2-6 at the upper right when viewed from the front of the storage unit main body 21, and the temperatures of the areas A2-1, A2-2, A2-3, A2-4, A2-5, and A2-6 are controlled so that food can be kept refrigerated.

[0026] At this time, for example, the first area A2-1, the second area A2-2, and the A The third area A2-3 and the fourth area A2-4 are acquireable areas.

[0027] In other words, the difficult-to-obtain areas are located at higher and lower positions than the obtainable areas within the storage unit main body 21. Here, it is preferable that each of the areas A2-1, A2-2, A2-3, A2-4, A2-5, and A2-6 have substantially the same shape.

[0028] As shown in Figures 1 and 2, a first door 24 that can be opened and closed is provided on the front and rear sides of the freezer space S1, and the opening and closing of at least the first door 24 on the rear side of the freezer space S1 is controlled by a first drive mechanism 25.

[0029] In addition, as shown in Figures 1 and 2, an openable and closable second door 26 is provided on the front and rear sides of the refrigerated space S2, and the opening and closing of at least the second door 26 on the rear side of the refrigerated space S2 is controlled by a second drive mechanism 27.

[0030] Box 22 is shaped so that food can be stored inside box 22 and can be stored in area A of storage unit main body 21. Here, food includes not only food but also beverages, and may be ingested by humans through the mouth.

[0031] As the boxes 22, for example, as shown in FIG. 2, it is preferable to provide two types: a first box 22a which can be carried in and out (inserted and removed) from the front and rear of the storage unit main body 21 to each of the areas A1-1, A1-2, A1-3, and A1-4 of the freezer space S1, and a second box 22b which can be carried in and out from the front and rear of the storage unit main body 21 to each of the areas A2-1, A2-2, A2-3, A2-4, A2-5, and A2-6 of the refrigerated space S2.

[0032] The transport device 23 carries the boxes 22 into area A of the storage unit main body 21, carries the boxes 22 out of area A of the storage unit main body 21, and exchanges the boxes 22 between areas A of the storage unit main body 21. In other words, the transport device 23 inserts the first box 22a into each of the areas A1-1, A1-2, A1-3, and A1-4 of the freezer space S1 and removes it from each of the areas A1-1, A1-2, A1-3, and A1-4.

[0033] In addition, the conveying device 23 inserts the second boxes 22b into and removes them from each of the areas A2-1, A2-2, A2-3, A2-4, A2-5, and A2-6 of the refrigerated space S2.

[0034] In order to realize the above-mentioned operation, the conveying device 23 can be configured, for example, by a robot that generally conveys boxes and the like to shelves. Here, the conveying device 23 may be configured, for example, to be movable.

[0035] 1, the processing device 3 includes a data acquisition unit 31, a status acquisition unit 32, and a control unit 33. The processing device 3 can be realized by one or more computers. The processing device 3 is typically an information processing device such as a server device.

[0036] Specifically, the processing device 3 includes a memory for storing programs and the like, and a processor for executing the programs. The processing device 3 may have multiple processors for performing distributed processing. For example, a server device and a user terminal connected via a network 5 may cooperate to perform processing.

[0037] The data acquisition unit 31 acquires data related to the user. As shown in Fig. 1, the data acquisition unit 31 includes a diet data acquisition unit 311, an exercise data acquisition unit 312, and a personal data acquisition unit 313. The diet data acquisition unit 311 acquires diet data related to meals taken by the user, which is an example of lifestyle data.

[0038] The meal data is data indicating, for example, a meal menu and meal times. The meal data acquisition unit 311 acquires data on nutrients, ingredients, foods, and the like from the meal menu consumed by the user. The meal data is not limited to breakfast, lunch, and dinner, but also includes snacks (snacks) and midnight snacks.

[0039] The dietary data includes, for example, data indicating the foods and the amounts of food eaten. The dietary data also includes, for example, information on calorie intake, sugar content, salt content, lipids, vitamins, carbohydrates, etc. The dietary data also includes, for example, data on the time when the user ate a meal.

[0040] That is, the meal data is data in which meal times, nutrients, meal menus, etc. are associated with each other. The meal data acquisition unit 311 stores the time-series meal data in the database 4 or the like.

[0041] The meal data can be acquired from image data of the user's meal. The meal data acquisition unit 311 may acquire the meal data using a sensor for detecting the meal data. Alternatively, the meal data acquisition unit 311 may acquire the meal data by inputting the meal menu consumed by the user or the like.

[0042] The exercise data acquisition unit 312 acquires exercise data related to the user's exercise, which is an example of life data. Here, exercise does not only include walking, jogging, cycling, and pedaling on a pedaling machine, but also includes any movement such as moving that causes the user to burn calories.

[0043] The exercise data is, for example, data indicating the exercise performed by the user and the duration of the exercise. The exercise data also includes, for example, data on heart rate, body temperature, amount of exercise, etc. In other words, the exercise data is data in which exercise, duration of exercise, amount of exercise, etc. are associated with each other.

[0044] The exercise data acquisition unit 312 may acquire the exercise data by inputting the exercise performed by the user. Alternatively, the exercise data acquisition unit 312 may detect the exercise using a wearable device such as a smart watch.

[0045] A camera may also be used to detect the user's movements. 。 That is, a sensor for detecting exercise may be used as the exercise data acquiring section 312. The exercise data acquiring section 312 stores the time-series exercise data in the database 4 or the like.

[0046] The personal data acquisition unit 313 acquires personal data related to the user. For example, the personal data acquisition unit 313 acquires personal data related to the height, weight, age, sex, and the like of the user.

[0047] The personal data includes, for example, data on the user's body fat percentage, body fat mass, and muscle mass. At this time, the personal data may include, for example, data on the user's occupation and medical history. The personal data acquisition unit 313 stores the personal data in the database 4 or the like.

[0048] The status acquisition unit 32 calculates the calories burned by the user within a preset period based on the exercise data, and generates the calorie burned data. The status acquisition unit 32 can calculate the calories burned by, for example, a general method for calculating calories burned. The status acquisition unit 32 stores the calorie burned data in the database 4 or the like.

[0049] Furthermore, the status acquisition unit 32 calculates the user's upper calorie intake limit for a preset period based on the personal data, and generates upper calorie intake data. The status acquisition unit 32 can calculate the user's upper calorie intake limit based on the preset upper calorie intake limit according to, for example, height, weight, age, sex, etc. At this time, the status acquisition unit 32 may calculate the upper calorie intake limit taking into account lifestyle data according to the preset period.

[0050] If the personal data includes data on the user's body fat percentage, the status acquisition unit 32 may calculate the upper calorie intake limit taking that data into account. Furthermore, if schedule data on the user's planned exercise can be acquired, the status acquisition unit 32 may calculate the upper calorie intake limit taking that data into account. The status acquisition unit 32 stores the upper calorie intake limit data in the database 4 or the like.

[0051] The control unit 33 generates recommendation data for foods that are recommended for consumption by the user based on the lifestyle data and personal data, and controls the storage unit 2 based on the recommendation data so that the recommended foods stored in the storage unit 2 are available to the user.

[0052] For example, as will be described in detail later, the control unit 33 calculates the difference between the upper calorie intake limit and the calories burned, and controls the first drive mechanism 25 or the second drive mechanism 27, as well as the conveying device 23, so that food with a calorie content corresponding to the difference is placed (stored) in the obtainable area.

[0053] The database 4 stores dietary data, exercise data, personal data, arrangement data of the box 22, data related to the food stored in the box 22, etc. At this time, the data related to the food stored in the box 22 is stored linked to the arrangement data of the box 22, and for example, when the box 22 is delivered by a delivery service, the data related to the food stored in the box 22 can be obtained based on the delivery data of the delivery service, etc.

[0054] The database 4 also stores food data for each item of food, such as calories, sugar content, salt content, lipids, vitamins, carbohydrates, etc., set in advance. In this case, the database 4 may store ranking data for recommending foods to the user based on each item of the food data.

[0055] Next, an example of a flow of placing boxes 22 in area A of storage body 21 using the processing device of this embodiment will be described. Fig. 3 is a flow chart showing an example of a flow of placing boxes in an area of ​​the storage body using the processing device of this embodiment.

[0056] In this embodiment, foods are recommended to the user with a focus on calories, but foods can be recommended to the user with a focus on salt content, lipids, vitamins, etc. in a substantially similar manner. Note that the personal data acquisition unit 313 of the processing device 3 acquires personal data on the user in advance and stores the personal data in the database 4.

[0057] First, the data acquisition unit 31 of the processing device 3 acquires the user's dietary data and exercise data, i.e., life data, and stores the dietary data and exercise data in the database 4 or the like (S11). Then, the status acquisition unit 32 of the processing device 3 calculates the user's calorie consumption within a preset period based on the exercise data, and stores the calorie consumption data in the database 4 or the like (S12).

[0058] Furthermore, the state acquisition unit 32 calculates the upper calorie intake limit for the user within a preset period based on the personal data, and stores the upper calorie intake limit data in the database 4 or the like (S13). Note that the steps of S12 and S13 may be performed in the reverse order.

[0059] Next, the control unit 33 of the processing device 3 calculates the difference between the upper calorie intake limit and the calories consumed, and controls the first driving mechanism 25 or the second driving mechanism 27 and also controls the conveying device 23 based on the calculated difference and the ranking data recommending foods to the user (S14).

[0060] In detail, for example, the ranking data sets low-calorie foods (e.g., fish, tofu, etc.) as rank A, high-calorie foods (e.g., meat, carbohydrates, alcohol, sweets, etc.) as rank C, and other foods as rank B.

[0061] If the difference between the upper calorie intake limit and the calorie consumption is less than a preset first threshold, the control unit 33 of the processing device 3 generates recommendation data that recommends the intake of food items of rank A to the user.

[0062] Then, based on the recommendation data, the control unit 33 of the processing device 3 controls the first driving mechanism 25 or the second driving mechanism 27 and also controls the conveying device 23 so that boxes 22 containing foods of rank B and C are placed in difficult-to-access areas of the storage unit main body 21, and boxes 22 containing foods of rank A are placed in accessible areas of the storage unit main body 21.

[0063] In addition, if the difference between the upper calorie intake limit and the calories burned is greater than or equal to a predetermined first threshold and less than a second threshold that is greater than the first threshold, the control unit 33 of the processing device 3 generates recommendation data recommending to the user the consumption of foods of ranks A and B.

[0064] Then, based on the recommendation data, the control unit 33 of the processing device 3 controls the first driving mechanism 25 or the second driving mechanism 27 and also controls the conveying device 23 so that boxes 22 containing food of rank C are placed in difficult-to-access areas of the storage unit main body 21, and boxes 22 containing food of ranks A and B are placed in accessible areas of the storage unit main body 21.

[0065] Here, if the difference between the upper calorie intake limit and the calorie consumption is equal to or greater than a preset second threshold, the control unit 33 of the processing device 3 may, for example, control the first driving mechanism 25 or the second driving mechanism 27 and also control the conveying device 23 so that the boxes 22 are placed in an available area A in the order in which they arrive at the storage unit main body 21, without generating recommendation data.

[0066] In this embodiment, the control unit 33 of the processing device 3 determines that the difference between the upper calorie intake limit and the calorie consumption is less than the first threshold, and generates recommendation data that recommends the intake of food items of rank A to the user.

[0067] The control unit 33 of the processing device 3 controls the second drive mechanism 27 and also controls the conveying device 23 so that the second box 22b containing alcohol, sweets, meat, and carbohydrates, which are rank C foods, is placed in the first area A2-1, second area A2-2, fifth area A2-5, and sixth area A2-6, which are difficult-to-access areas of the refrigerated space S2 of the storage unit main body 21, and the second box 22b containing fish and tofu, which are rank A foods, is placed in the third area A2-3 and fourth area A2-4, which are accessible areas of the refrigerated space S2 of the storage unit main body 21.

[0068] The second drive mechanism 27 opens the second door 26 on the rear side of the refrigerated space S2 of the storage unit main body 21. Then, the conveying device 23 inserts the second box 22b containing alcohol, sweets, meat, and carbohydrates into the first area A2-1, the second area A2-2, the fifth area A2-5, and the sixth area A2-6 of the refrigerated space S2 of the storage unit main body 21, and inserts the second box 22b containing fish and tofu into the third area A2-3 and the fourth area A2-4 of the refrigerated space S2 of the storage unit main body 21. After that, the second drive mechanism 27 closes the second door 26 on the rear side of the refrigerated space S2 of the storage unit main body 21. This allows the food recommended for consumption to the user to be placed in the obtainable area of ​​the storage unit main body 21.

[0069] In this way, the processing device 3 and the processing method of the present embodiment arrange the food recommended for consumption by the user in an area of ​​the storage unit main body 21 that is easy for the user to pick up, i.e., an obtainable area. Therefore, the user can be encouraged to actively pick up the food recommended for consumption.

[0070] <Embodiment 2> Fig. 4 is a block diagram showing a control system of the storage system of this embodiment. As shown in Fig. 4, the storage system 101 of this embodiment has substantially the same configuration as the storage system 1 of the first embodiment, so duplicated explanations will be omitted and the same elements will be described using the same reference numerals.

[0071] In this embodiment, the status acquisition unit 103 of the processing device 102 acquires the user's health data as life data, and acquires the blood glucose level or stress state based on the health data. For example, the status acquisition unit 103 can acquire the user's blood glucose level or stress state using a wearable device such as a general smart watch.

[0072] The control unit 104 of the processing device 102 generates recommendation data for foods to be recommended to the user based on the user's blood sugar level or stress state, and controls the first driving mechanism 25 or the second driving mechanism 27 based on the recommendation data, as well as controls the conveying device 23.

[0073] At this time, for example, if the user's blood sugar level is low, foods with a high sugar content may be recommended, and if the user's stress level is high, foods with a high GABA (Gamma Amino Butyric Acid) content may be recommended. This makes it possible to encourage the user to actively pick up foods that are recommended for consumption according to the user's blood sugar level and stress level.

[0074] <Embodiment 3> Fig. 5 is a block diagram showing a control system of the storage system of this embodiment. As shown in Fig. 5, the storage system 201 of this embodiment has substantially the same configuration as the storage system 1 of the first embodiment, so duplicated explanations will be omitted and the same elements will be described using the same reference numerals.

[0075] 5, the processing device 202 of the storage system 201 of this embodiment includes a schedule data acquisition unit 204 in the data acquisition unit 203. The schedule data acquisition unit 204 acquires the user's schedule data as life data.

[0076] The schedule data is information indicating plans such as a user's work, tasks, desk work, meetings, commuting, travel, meals, dinner parties, snacks, exercise, kindergarten pick-up and drop-off, and receiving parcels. The schedule data includes start and end times for each planned item. The schedule data acquisition unit 204 stores the schedule data in the database 4 or the like.

[0077] The state acquisition unit 205 of the processing device 202 acquires the snack time of the user based on the schedule data. Then, the control unit 206 of the processing device 202 controls the first drive mechanism 25 or the second drive mechanism 27 and also controls the conveying device 23 so that low-calorie, filling foods are placed in the obtainable area of ​​the storage unit main body 21 during the snack time based on the data indicating the snack time, for example. This makes it possible to prevent excessive intake of calories through snacking.

[0078] <Fourth embodiment> Fig. 6 is a block diagram showing a control system of the storage system of this embodiment. Fig. 7 is a front view showing a storage unit main body and a box of the storage unit of this embodiment in a simplified manner. As shown in Fig. 6, the storage system 301 of this embodiment has substantially the same configuration as the storage system 1 of the first embodiment, so that duplicated explanations are omitted and the same elements are described using the same reference numerals.

[0079] As shown in FIG. 7 , in the storage system 301 of this embodiment, an openable / closable door 304 is provided on the front side of each area A of the storage unit main body 303 of the storage unit 302, and the opening and closing of each door 304 is controlled by a third drive mechanism 305.

[0080] Then, the control unit 307 of the processing device 306 controls the third driving mechanism 305 so that the door 304 of the area A (i.e., the obtainable area) in which the food recommended for the user to consume is stored can be opened and closed (for example, the locked state is released so that the door 304 can be opened and closed), and the door 304 of the other area (i.e., the difficult-to-obtain area) A is locked in a closed state. This makes it possible to encourage the user to reliably pick up the food recommended for the user to consume.

[0081] <Other embodiments> For example, in addition to the recommendation data, non-recommendation data for foods that are not recommended for the user to consume may be created based on personal data, and foods that are not recommended for the user to consume may be proactively placed in a difficult-to-obtain area. For example, to prevent a user with a high purine level from picking up fish eggs, etc., fish eggs may be placed in a difficult-to-obtain area of ​​the storage unit body.

[0082] For example, in the above embodiment, the obtainable area and the difficult-to-obtain area are separated in the height direction of the storage unit body, but the obtainable area and the difficult-to-obtain area may be separated in the depth direction of the storage unit body. In this case, it is preferable to place the obtainable area on the front side of the storage unit body.

[0083] For example, when there are multiple users, the user in front of the storage unit body may be identified based on the image data of a camera installed in the storage unit or the position data of each user acquired using a wearable device such as a smart watch. In this case, the storage unit may be configured so that the height of each area can be changed according to the physique of the user.

[0084] For example, the conveying device may rearrange the food items depending on the time of day, the user's preferences, etc. For example, at night, it is advisable to move alcoholic beverages to an accessible area of ​​the storage unit body. At this time, if food is replenished in the box 22, shortages can be prevented.

[0085] For example, a part or all of the above processes may be executed by a computer program. That is, the control of the above processing device is executed by a control computer that configures the processing device executing the program. The above-mentioned program includes a set of instructions (or software code) for making the computer perform one or more functions described in the embodiment when the program is loaded into the computer. The program may be stored in a non-transitory computer-readable medium or a tangible storage medium. By way of example and not limitation, the computer-readable medium or tangible storage medium includes random-access memory (RAM), read-only memory (ROM), flash memory, solid-state drive (SSD) or other memory technology, CD-ROM, digital versatile disc (DVD), Blu-ray (registered trademark) disk or other optical disk storage, magnetic cassette, magnetic tape, magnetic disk storage or other magnetic storage device. The program may be transmitted on a transitory computer-readable medium or communication medium. By way of example and not limitation, the transitory computer-readable medium or communication medium includes electrical, optical, acoustic, or other forms of propagated signals.

[0086] The invention made by the inventor has been specifically described above based on an embodiment, but it goes without saying that the present invention is not limited to the above embodiment and can be modified in various ways without departing from the gist of the invention. [Explanation of symbols]

[0087] 1 Storage System 2 Storage area 21 Storage unit main body 22 Box, 22a 1st Box, 22b 2nd Box 23 Transport equipment 24 First Door 25 First Drive Mechanism 26 The Second Door 27 Second Drive Mechanism 3 Processing equipment 31 Data Acquisition Section 311 Food Data Acquisition Department 312 Exercise Data Acquisition Unit 313 Personal Data Acquisition Department 32 Status acquisition unit 33 Control Unit 4. Database 5. Network 101 Storage System 102 Processing equipment 103 Status acquisition unit 104 Control section 201 Storage System 202 Processing equipment 203 Data Acquisition Department 204 Schedule Data Acquisition Department 205 Status Acquisition Unit 206 Control Unit 301 Storage System 302 Storage area 303 Storage unit body 304 Door 305 Third Drive Mechanism 306 Processing Equipment 307 Control Unit A (A1-1, A1-2, A1-3, A1-4, A2-1, A2-2, A2-3, A2-4, A2-5, A2-6) Storage area S1 Freezer space in storage unit S2 Refrigerated space in main storage unit

Claims

1. a processing device having a data acquisition unit that acquires lifestyle data and personal data of a person who wishes to consume a food; and a control unit that generates recommendation data for a food to be recommended to the person who wishes to consume a food based on the lifestyle data and the personal data, and controls the storage unit based on the recommendation data so that the recommended food stored in the storage unit is available to the person who wishes to consume a food; The storage section in which the food is stored; Equipped with The storage unit includes a storage unit body divided into a plurality of areas in which boxes capable of storing food are stored, and a conveying device capable of carrying the boxes into the areas and carrying the boxes out of the areas, The control unit generates non-recommendation data for foods that are not recommended for consumption by the individual based on the personal data, and controls a conveying device of the storage unit so that boxes containing the non-recommended foods are placed in predetermined difficult-to-obtain foods areas within a plurality of areas of the storage unit based on the non-recommendation data.

2. 2. The storage system according to claim 1, wherein the control unit generates the recommendation data based on data indicating a difference between an upper limit of calorie intake of the person wishing to consume food for a preset period calculated from the personal data and a calorie consumption for the preset period calculated from the lifestyle data.

3. the data acquisition unit acquires health data of the person who wishes to take the dietary supplement as the life data, The storage system according to claim 1 or 2, wherein the control unit generates the recommendation data based on data indicating a blood sugar level or a stress state of the person who wishes to consume, obtained from the health data.

4. the data acquisition unit acquires schedule data of the person who wishes to consume the dietary supplement as the life data, The storage system according to claim 1 or 2, wherein the control unit generates the recommendation data based on data indicating snack times estimated from the schedule data.

5. The storage system according to claim 1 or 2, wherein a preset area in the storage section where food can be obtained is disposed on a front side within the storage section with respect to the difficult-to-obtain area.

6. The storage system according to claim 1 or 2, wherein the difficult-to-access area is located at a higher or lower position within the storage unit than a preset area in the storage unit where food can be accessed.

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