CN117012334A

CN117012334A - Auxiliary fat reducing method and device for refrigerator and refrigerator

Info

Publication number: CN117012334A
Application number: CN202310821244.5A
Authority: CN
Inventors: 张明; 孔令磊; 张景瑞; 葛宗玉; 魏倩; 马全亭; 李京昌; 谭夏霞
Original assignee: Qingdao Haier Refrigerator Co Ltd; Qingdao Haier Smart Technology R&D Co Ltd; Haier Smart Home Co Ltd
Current assignee: Qingdao Haier Refrigerator Co Ltd; Qingdao Haier Smart Technology R&D Co Ltd; Haier Smart Home Co Ltd
Priority date: 2023-07-05
Filing date: 2023-07-05
Publication date: 2023-11-07

Abstract

The application relates to the technical field of intelligent household appliances, and discloses an auxiliary fat reducing method for a refrigerator, which comprises the following steps: determining the fat and thin degree information of the user; under the condition that the fat-lean degree information indicates that the user needs to reduce fat, determining a fat-reducing intervention scheme according to the fat-lean degree information; and controlling the refrigerator to assist a user in reducing fat according to the fat reducing intervention scheme. The application establishes a fat-reducing intervention scheme based on fat-lean program information of the user. And further controlling the refrigerator to assist the user in reducing the fat based on the fat reduction preset scheme. Therefore, the fat reducing intervention scheme and the user's fat degree are adapted, and the refrigerator is facilitated to assist the user in reducing fat based on the fat reducing intervention scheme. Thereby improving the fat reducing effect of the user. The application also discloses an auxiliary fat reducing device for the refrigerator and the refrigerator.

Description

Auxiliary fat reducing method and device for refrigerator and refrigerator

Technical Field

The application relates to the technical field of intelligent household appliances, in particular to an auxiliary fat reducing method and device for a refrigerator and the refrigerator.

Background

At present, as obesity becomes one of the prominent nutritional problems, health problems are also becoming more and more interesting. Refrigerators are also used as household electrical appliances which are closely related to diet and life of people, and volatilize their own functions in health.

The related art discloses a meal exercise management system comprising: the motion information management module is used for acquiring and storing motion information of a user; the diet information management module is used for acquiring and storing diet information of a user; the health data management module is used for acquiring and storing health data information of the user; the analysis processing module is used for performing analysis processing at least according to the exercise information, the diet information and the health data information; and the generation suggestion module is used for generating meal-exercise suggestion information according to the analysis and processing result of the analysis and processing module.

In the process of implementing the embodiments of the present disclosure, it is found that at least the following problems exist in the related art:

the prior proposal is oriented to the public users, and has general effect on the fat reduction requirements of special groups such as overweight and the like.

It should be noted that the information disclosed in the above background section is only for enhancing understanding of the background of the application and thus may include information that does not form the prior art that is already known to those of ordinary skill in the art.

Disclosure of Invention

The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview, and is intended to neither identify key/critical elements nor delineate the scope of such embodiments, but is intended as a prelude to the more detailed description that follows.

The embodiment of the disclosure provides a method and a device for assisting in reducing fat of a refrigerator and the refrigerator, so as to better assist a user in reducing fat.

In some embodiments, the method comprises: determining the fat and thin degree information of the user; under the condition that the fat-lean degree information indicates that the user needs to reduce fat, determining a fat-reducing intervention scheme according to the fat-lean degree information; and controlling the refrigerator to assist a user in reducing fat according to the fat reducing intervention scheme.

Optionally, in the case that the fat reduction intervention scheme includes a diet intervention and a exercise intervention, controlling the refrigerator to assist the user in reducing fat according to the fat reduction intervention scheme includes:

acquiring information of food stored in a refrigerator and total daily heat consumption of a user; wherein the total daily caloric consumption includes a base caloric consumption of the user and a caloric consumption of the user due to exercise intervention; according to the food material information, matching a target food material which is matched with the total daily heat consumption; and controlling the refrigerator to recommend the target food material to the user.

Optionally, the base heat consumption of the user is determined by:

determining basic metabolism heat of the user according to the basic information of the user; determining a target activity factor corresponding to the current life style of the user according to the corresponding relation between the life style and the activity factor; the product of the activity factor and the basal metabolic heat is taken as the basal heat consumption of the user.

In some embodiments, the apparatus comprises: a processor and a memory storing program instructions, the processor being configured to perform the auxiliary fat reduction method for a refrigerator as described previously, when the program instructions are executed.

In some embodiments, the refrigerator includes: a refrigerator body; and the auxiliary fat reducing device for a refrigerator as described above is mounted to the refrigerator body.

The auxiliary fat reducing method and device for the refrigerator and the refrigerator provided by the embodiment of the disclosure can realize the following technical effects:

in the embodiment of the disclosure, when the fat and thin degree of the user characterizes that the user needs to reduce fat, a fat and thin program information of the user is further based on to formulate a fat reducing intervention scheme. And further controlling the refrigerator to assist the user in reducing the fat based on the fat reduction preset scheme. Therefore, the fat reducing intervention scheme and the user's fat degree are adapted, and the refrigerator is facilitated to assist the user in reducing fat based on the fat reducing intervention scheme. Thereby improving the fat reducing effect of the user.

The foregoing general description and the following description are exemplary and explanatory only and are not restrictive of the application.

Drawings

One or more embodiments are illustrated by way of example and not limitation in the figures of the accompanying drawings, in which like references indicate similar elements, and in which like reference numerals refer to similar elements, and in which:

FIG. 1 is a schematic view of an auxiliary fat reduction method for a refrigerator according to an embodiment of the present disclosure;

FIG. 2 is a schematic view of another auxiliary fat reduction method for a refrigerator provided in an embodiment of the present disclosure;

FIG. 3 is a schematic view of another auxiliary fat reduction method for a refrigerator provided in an embodiment of the present disclosure;

FIG. 4 is a schematic view of another auxiliary fat reduction method for a refrigerator provided in an embodiment of the present disclosure;

FIG. 5 is a schematic view of another auxiliary fat reduction method for a refrigerator provided in an embodiment of the present disclosure;

FIG. 6 is a schematic view of an auxiliary fat reduction device for a refrigerator according to an embodiment of the present disclosure;

fig. 7 is a schematic view of a refrigerator provided in an embodiment of the present disclosure.

Detailed Description

So that the manner in which the features and techniques of the disclosed embodiments can be understood in more detail, a more particular description of the embodiments of the disclosure, briefly summarized below, may be had by reference to the appended drawings, which are not intended to be limiting of the embodiments of the disclosure. In the following description of the technology, for purposes of explanation, numerous details are set forth in order to provide a thorough understanding of the disclosed embodiments. However, one or more embodiments may still be practiced without these details. In other instances, well-known structures and devices may be shown simplified in order to simplify the drawing.

The terms first, second and the like in the description and in the claims of the embodiments of the disclosure and in the above-described figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate in order to describe embodiments of the present disclosure. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion.

The term "plurality" means two or more, unless otherwise indicated.

In the embodiment of the present disclosure, the character "/" indicates that the front and rear objects are an or relationship. For example, A/B represents: a or B.

The term "and/or" is an associative relationship that describes an object, meaning that there may be three relationships. For example, a and/or B, represent: a or B, or, A and B.

The term "corresponding" may refer to an association or binding relationship, and the correspondence between a and B refers to an association or binding relationship between a and B.

In the embodiment of the disclosure, the intelligent home appliance refers to a home appliance formed after a microprocessor, a sensor technology and a network communication technology are introduced into the home appliance, and has the characteristics of intelligent control, intelligent sensing and intelligent application, the operation process of the intelligent home appliance often depends on the application and processing of modern technologies such as the internet of things, the internet and an electronic chip, for example, the intelligent home appliance can realize remote control and management of a user on the intelligent home appliance by connecting the electronic appliance.

In the embodiment of the disclosure, the terminal device refers to an electronic device with a wireless connection function, and the terminal device can be in communication connection with the intelligent household electrical appliance through connecting with the internet, and can also be in communication connection with the intelligent household electrical appliance through Bluetooth, wifi and other modes. In some embodiments, the terminal device is, for example, a mobile device, a computer, or an in-vehicle device built into a hover vehicle, etc., or any combination thereof. The mobile device may include, for example, a cell phone, smart home device, wearable device, smart mobile device, virtual reality device, etc., or any combination thereof, wherein the wearable device includes, for example: smart watches, smart bracelets, pedometers, etc.

Referring to fig. 1, an embodiment of the present disclosure provides an auxiliary fat reducing method for a refrigerator, including:

s101, the processor determines the fat and thin degree information of the user.

S102, under the condition that the fat-thin degree information indicates that the user needs to reduce fat, the processor determines a fat-reducing intervention scheme according to the fat-thin degree information.

And S103, the processor controls the refrigerator to assist the user in reducing fat according to the fat reduction intervention scheme.

Here, the information for determining the degree of obesity of the user may be information actively provided by the user. For example, the user inputs his/her own obesity degree information (e.g., body fat rate) through the terminal device. Or may be obtained by calculation after obtaining the basic information of the user. Such as obtaining the height, weight, etc. of the user to calculate and obtain the obesity degree information of the user.

When the obesity degree information represents that the user needs to reduce fat, a fat-reducing intervention scheme is further determined according to the obesity degree information. Different fat and thin degrees and different fat reducing amounts, so that different fat reducing intervention schemes are adopted. Then, based on the fat reduction intervention scheme, the refrigerator is controlled to assist the user in fat reduction. It is understood that the main routes of fat reduction include diet and exercise. Refrigerators are household appliances for storing food in life, and the stored food and consumption and storage conditions of the food can represent diet information (for example, diet information comprises diet habit, ingested heat and the like) of users. Therefore, the user's diet is controlled by the refrigerator. In addition, refrigerators are typically provided with a voice module by means of which the user can be alerted to movements or recommended to the user a suitable movement. In this way, the refrigerator can assist the user in developing good fat-reducing habits, thereby helping to reduce fat.

By adopting the auxiliary fat reduction method for the refrigerator, when the fat and thin degree of the user represents that the user needs to reduce fat, a fat and thin program information of the user is further based on, and a fat reduction intervention scheme is formulated. And further controlling the refrigerator to assist the user in reducing the fat based on the fat reduction preset scheme. Therefore, the fat reducing intervention scheme and the user's fat degree are adapted, and the refrigerator is facilitated to assist the user in reducing fat based on the fat reducing intervention scheme. Thereby improving the fat reducing effect of the user.

Optionally, in step S101, the processor determines the fat-lean degree information of the user, including:

the processor obtains basic information of the user.

The processor determines a body mass index BMI value of the user based on the base information.

And the processor determines the fat and thin degree information corresponding to the BMI value of the user according to the corresponding relation between the BMI value and the fat and thin degree information.

In the embodiment of the present disclosure, the user's fat-thin degree information is reflected by a BMI (Body Mass Index) value. Specifically, obtaining basic information of the user includes obtaining a height and a weight of the user. The BMI value of the user can be obtained through a calculation formula of the BMI value. Further, based on the correspondence between the BMI value and the fat-lean degree information, the fat-lean degree of the user is determined. It will be appreciated that the BMI values of different ethnicities differ, and that the basic information of the user may further include information such as ethnicities in order to more accurately determine the degree of the user. And establishing various corresponding relations aiming at the information of the user. For example, the correspondence may be established for different races (such as asian and african) respectively. And combining the user information to obtain the best matching corresponding relation. Further, based on the relationship, the user's fat-lean degree information is determined. As an example, the correspondence is detailed in table 1.

TABLE 1

Obesity degree information	BMI index
		Too low weight	<18.5
Normal range	18.5≤BMI＜25
		Overweight of people	25≤BMI＜30
Obesity and obesity control method	30≤BMI

In addition, the finer the corresponding relation division is, the finer the user fat-lean degree division is, and the more the fat-reducing intervention scheme is facilitated to be determined.

Optionally, in step S102, the processor determines a fat-reducing intervention scheme according to the fat-lean degree information, including:

in the case where the fat-lean degree information is overweight, the processor determines that the fat-reducing intervention regimen includes a dietary intervention and a motor intervention.

In the case that the fat-lean degree information is obese, the processor determines a fat-reducing intervention regimen comprising dietary intervention, exercise intervention, habitual intervention.

The food intervention comprises food recommendation, the exercise intervention comprises exercise recommendation and exercise prompt, and the habit intervention comprises prompt of bad habit.

In the embodiments of the present disclosure, both overweight and obesity are taken as situations requiring fat reduction. In particular, when overweight, indicating that the user is overweight, there is a need to reduce the intake of high calorie, high fat or high sugar foods. The diet should be mainly healthy foods such as vegetables, grains, fruits, etc., and proper amount of exercise should be matched to realize fat reduction. The fat-reducing intervention regimen includes dietary interventions and exercise interventions. In the case of obesity, it is indicated that the user needs a more aggressive regimen for fat reduction, such as high intensity exercise; healthy lifestyle of the law of rest. The fat-reducing intervention regimen also includes habitual interventions.

Further, dietary interventions include dietary recommendations, primarily referring to recommending to a user food that meets the user's preferences and is healthy. The athletic intervention comprises providing the user with appropriate athletic recommendations in combination with the user's lifestyle or time of home work and rest, and acceptable exercise patterns, and outputting athletic prompt information at the relevant time. The habit intervention is mainly used for prompting bad habit, such as voice prompt when unhealthy food such as cola is ingested. Thus, in combination with the user's degree of fatness, a targeted fat-reducing intervention regimen is determined.

As shown in connection with fig. 2, an embodiment of the present disclosure provides another auxiliary fat reduction method for a refrigerator, including:

s101, the processor determines the fat and thin degree information of the user.

S131, in case the fat reduction intervention scheme includes diet intervention and exercise intervention, the processor acquires information of the stored food material of the refrigerator and the total daily caloric consumption of the user. Wherein the total daily caloric consumption includes a basal caloric consumption of the user and a caloric consumption of the user due to exercise intervention.

And S132, the processor matches target food materials matched with the total daily heat consumption according to the food material information.

S133, the processor controls the refrigerator to recommend target food materials to the user.

In the disclosed embodiments, the dietary intervention is primarily based on recommended diets based on the caloric consumption of the user. Typically, body fat is consumed to achieve fat reduction when the amount of calories ingested is less than the amount of calories consumed. Therefore, when recommending food to the user, the total daily calorie consumption of the user is obtained. And then based on the food materials stored in the refrigerator, matching the food materials which are matched with the total daily heat consumption. Wherein, the food material adapted to the daily caloric consumption total amount Qs means that the daily recommended caloric quantity Qf of the food material total amount is smaller than the daily caloric consumption total amount Qs. Preferably, A=qf/Qs, A is less than or equal to 90%. The total daily caloric consumption includes the basal caloric consumption of the user and the caloric consumption of the user performing the athletic intervention. The basic heat consumption of the user depends on the user's own attributes and lifestyle; the user's own attributes include information of the user's weight, age, etc., and the life style is related to the user's work, life style, etc. The amount of heat consumed by the user performing athletic interventions includes the heat consumed by the user actively exercising or exercising after refrigerator recommendation/prompting.

Furthermore, in some embodiments, the user's food intake is not entirely from food materials in the refrigerator, such as a commuter's lunch, coffee, and the like. In this case, the user may autonomously input through the terminal device, and the refrigerator or the processor obtains and records intake calories of the autonomously input. Then, when recommending food to the user, total calories of recommended food = a total daily calories consumed by the user-independently inputted intake calories. In this way, the heat taken by the user can be ensured to be smaller than the consumed heat so as to assist the user in reducing fat. Alternatively, in this case, the value of the ratio a may be appropriately reduced. Therefore, the influence of forgetting to actively input and take heat by the user on the fat reducing effect can be avoided. As an example, if about 30% of the daily calories ingested by the user originate from outside the refrigerator, the adjusted ratio = a-30%.

Additionally, in some embodiments, the food material information of the refrigerator further includes a deposit time and a food material shelf life. When the target food material is matched, the freshest food material or the food material in the period of time can be recommended to the user preferentially under the condition that the heat of the food material meets the requirement. The priority recommendation level of the food material depends on the living habit of the user.

Optionally, in step S131, the processor obtains the base heat consumption amount of the user by:

the processor determines the basal metabolic heat of the user based on the user's basic information.

And the processor determines a target activity factor corresponding to the current life style of the user according to the corresponding relation between the life style and the activity factor.

The processor takes the product of the activity factor and the basal metabolic heat as the basal heat consumption of the user.

Here, the basic information of the user includes the weight, height, age, and sex of the user. The daily basal metabolism of the user is then calculated according to the MSJE (Mifflin-St Jeor Equations, resting metabolism calculation) formula, which is as follows:

male: basic metabolic heat = 10 weight (KG) +6.25 height (CM) -5 age +5

Female: basic calories=10×weight (KG) +6.25×height (CM) -5×age-161

On this basis, the life style of the user is acquired, wherein the life style includes a static life style, a occasionally active life style, a heavy physical life style, and the like. Different lifestyle pairs use different activity factor values, and the lifestyle consumes heat, the corresponding activity factor value is larger. The corresponding relationship between the two is shown in Table 2.

TABLE 2

Lifestyle	Activity factor
		Life style with sitting and lying as main aspects	1.2
Static life style	1.4
		Occasionally active lifestyle	1.6
Lifestyle of regular activities	1.8
		Heavy physical life style	2

Finally, based on the activity factor and the basal metabolic heat, a basal heat consumption of the user is obtained. As an example. A male, age 25 years, height 170cm, weight 85 kg, life style is static life style (office staff). The basal metabolic calories of the user is 10×85+6.25×170-5×25+5=1792.5 kcal and the activity factor is 1.4. Its daily basal caloric consumption is 1792.5 x 1.4= 2509.5kcal.

As shown in connection with fig. 3, an embodiment of the present disclosure provides another auxiliary fat reduction method for a refrigerator, including:

s101, the processor determines the fat and thin degree information of the user.

S131, in case the fat reduction intervention scheme includes diet intervention and exercise intervention, the processor acquires information of the stored food material of the refrigerator and the total daily caloric consumption of the user. Wherein the total daily caloric consumption includes a base caloric consumption of the user and a caloric consumption of the user due to the execution of the operation intervention.

S134, the processor records the real-time total calories ingested by the user daily.

And S135, controlling the refrigerator to output a first prompt by the processor under the condition that the ratio of the real-time total heat quantity to the total daily heat consumption is larger than a preset threshold value and the intention of the user to take food of the refrigerator is determined.

Here, after the refrigerator recommends the target food material to the user each time, the heat corresponding to the target food material is recorded. In this way, the total calories ingested in real time can be accumulated over the day. And when the ratio A' of the real-time total calories to the total daily calories consumed reaches a preset threshold, if the user has a need to continue to ingest food, the refrigerator outputs a first prompt. The preset threshold value range depends on the ratio a, and the preset threshold value may be smaller than or equal to the ratio a. The first prompt is to give a warning to the user that the heat is out of specification. The user's intention to take food in the refrigerator can be judged by detecting whether the user opens the refrigerator door, and when the refrigerator door is opened and the stored article is not detected, the user's intention to take food is judged. Alternatively, when the refrigerator food is provided with an identification code, if the identification code of the refrigerator food is identified and not first identified (typically, first identification occurs at the time of storage), the user's intention to store the food is determined. In addition, whether the food to be identified is stored or taken out, the user can set the identification mode by himself. If the code is scanned once for storage, the code is scanned twice continuously for fetching. In this way, in case the user has ingested enough caloric food in one day, a warning is issued if the food material is ingested again. To remind the user to ingest heat exceeding the standard, thereby avoiding the user from ingesting excessive heat.

As shown in connection with fig. 4, an embodiment of the present disclosure provides another auxiliary fat reduction method for a refrigerator, including:

s101, the processor determines the fat and thin degree information of the user.

S136, if the fat reduction intervention scheme further comprises habit intervention, if the intention of taking unhealthy foods of the refrigerator exists for a user, the processor controls the refrigerator to output a second prompt. And/or the number of the groups of groups,

and S137, if the user is determined to have bad sleep habits, the processor controls the refrigerator to output a healthy sleep prompt and controls the refrigerator to link with other intelligent household appliances to build a sleep environment.

The disclosed embodiments relate to control of habitual intervention protocols, in particular, habitual interventions including poor eating habits and poor sleep habits. Poor eating habits include ingestion of unhealthy foods such as high calorie, high sugar, high fat foods. And when detecting that the user intends to take unhealthy food, controlling the refrigerator to output a second prompt. For example, the second prompt is a voice prompt that "the food is high in calories, please ingest in proper amounts". For sleep habits, the user's latest sleep time may be set in advance, such as 10 a.m.: 00. and outputting a healthy sleep prompt when the user is detected to not lie on the bed at the time. Meanwhile, the intelligent sleep system is linked with other intelligent household appliances to create a sleep environment so as to assist a user to prepare or enter a sleep state.

Optionally, after the processor controls the refrigerator to output the second prompt in step S136, the method further includes:

in case that the user takes unhealthy foods of the refrigerator, the processor controls the refrigerator to record the number of times the user takes.

Here, although the user is prompted not to take unhealthy foods, there are cases where the user adheres to taking intake. At this time, the number of times the user took is recorded. Thus, when the fat reduction condition of the user is evaluated, the user can be intervened in later taking of healthy food based on whether the fat reduction of the user meets the standard. For example, in one lipid-lowering cycle, the user has not reached the level of lipid-lowering. The number of times the user ingests unhealthy food is strictly controlled at the next fat reduction cycle. To assist the user in developing healthy eating habits.

As shown in connection with fig. 5, an embodiment of the present disclosure provides another auxiliary fat reduction method for a refrigerator, including:

s101, the processor determines the fat and thin degree information of the user.

And S204, the processor periodically acquires the weight change of the user.

S205, in case that the weight change amount is smaller than the preset weight change amount of the corresponding fat reduction period, the processor corrects the fat reduction intervention plan of the user.

Here, after the refrigerator assists the user in reducing the fat, the weight change amount of the user is periodically acquired. The acquisition period can be one week or ten days, specifically set according to the requirements. The weight change amount of the user means the change amount in the period. Further, the weight change amount of the user in the period is compared with the preset weight change amount of the corresponding fat reduction period. If the weight change is greater than or equal to the preset weight change, the fat reduction amount of the fat reduction period is indicated to reach the expected value, and the user continues to execute the fat reduction intervention scheme. If the weight change amount is smaller than the preset weight change amount, the fat reducing effect of the fat reducing period is not good. In this case, it is necessary to correct the user's fat-reducing intervention regimen. For example, reducing calories ingested by the user, recommending more aggressive exercise patterns, etc.

Optionally, S205, the processor corrects the user' S fat reduction intervention plan, including:

the processor corrects the user daily maximum caloric intake threshold.

The processor acquires a historical fat-reducing periodic user movement preference; and revise the user's daily athletic recommendations based on the athletic preferences.

Here, the correction is mainly made from both dietary and exercise interventions. Specifically, the user's daily maximum caloric intake threshold is modified, i.e., the daily maximum caloric intake threshold is reduced. As described above, the maximum caloric intake threshold per day before correction=a is the total daily caloric consumption. The correction is to decrease the value a. For example, the value of a before correction is 90%, and the value of a after correction is 80%. Wherein the minimum correction amplitude is 5%. Modifying the athletic intervention includes obtaining user athletic preferences for a historical lipid-lowering cycle. And further revise the daily athletic recommendation for the user based on the athletic preferences. It will be appreciated that the user's fat reduction is not expected, may be a recommended exercise, and the user is not enthusiastic, and therefore does not adhere to the exercise. Alternatively, the recommended occasions do not meet the needs of the user. Here, therefore, daily exercise recommendations are revised based on historical exercise preferences. Thereby ensuring the enthusiasm and suitability of the user's movement.

As shown in connection with fig. 6, an embodiment of the present disclosure provides an auxiliary fat reduction device 200 for a refrigerator, including a processor (processor) 100 and a memory (memory) 101. Optionally, the apparatus may further comprise a communication interface (Communication Interface) 102 and a bus 103. The processor 100, the communication interface 102, and the memory 101 may communicate with each other via the bus 103. The communication interface 102 may be used for information transfer. The processor 100 may call logic instructions in the memory 101 to perform the auxiliary fat reduction method for a refrigerator of the above-described embodiment.

Further, the logic instructions in the memory 101 described above may be implemented in the form of software functional units and may be stored in a computer readable storage medium when sold or used as a stand alone product.

The memory 101 is a computer readable storage medium that can be used to store a software program, a computer executable program, such as program instructions/modules corresponding to the methods in the embodiments of the present disclosure. The processor 100 performs functional applications as well as data processing by running program instructions/modules stored in the memory 101, i.e. implements the auxiliary fat reduction method for a refrigerator in the above-described embodiments.

The memory 101 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, at least one application program required for a function; the storage data area may store data created according to the use of the terminal device, etc. Further, the memory 101 may include a high-speed random access memory, and may also include a nonvolatile memory.

As shown in conjunction with fig. 7, an embodiment of the present disclosure provides a refrigerator 300 including: the refrigerator body and the auxiliary fat reducing device 200 for the refrigerator. The auxiliary fat reducing device 200 for a refrigerator is mounted to a refrigerator body. The mounting relationships described herein are not limited to placement within a product, but include mounting connections to other components of a product, including but not limited to physical, electrical, or signal transmission connections, etc. Those skilled in the art will appreciate that the auxiliary fat reduction device 200 for a refrigerator may be adapted to a viable product body, thereby enabling other viable embodiments.

Embodiments of the present disclosure provide a computer-readable storage medium storing computer-executable instructions configured to perform the above-described auxiliary fat reduction method for a refrigerator.

The computer readable storage medium may be a transitory computer readable storage medium or a non-transitory computer readable storage medium.

Embodiments of the present disclosure may be embodied in a software product stored on a storage medium, including one or more instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of a method according to embodiments of the present disclosure. And the aforementioned storage medium may be a non-transitory storage medium including: a plurality of media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or a transitory storage medium.

The above description and the drawings illustrate embodiments of the disclosure sufficiently to enable those skilled in the art to practice them. Other embodiments may involve structural, logical, electrical, process, and other changes. The embodiments represent only possible variations. Individual components and functions are optional unless explicitly required, and the sequence of operations may vary. Portions and features of some embodiments may be included in, or substituted for, those of others. Moreover, the terminology used in the present application is for the purpose of describing embodiments only and is not intended to limit the claims. As used in the description of the embodiments and the claims, the singular forms "a," "an," and "the" (the) are intended to include the plural forms as well, unless the context clearly indicates otherwise. Similarly, the term "and/or" as used in this disclosure is meant to encompass any and all possible combinations of one or more of the associated listed. Furthermore, when used in the present disclosure, the terms "comprises," "comprising," and/or variations thereof, mean that the recited features, integers, steps, operations, elements, and/or components are present, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. Without further limitation, an element defined by the phrase "comprising one …" does not exclude the presence of other like elements in a process, method or apparatus comprising such elements. In this context, each embodiment may be described with emphasis on the differences from the other embodiments, and the same similar parts between the various embodiments may be referred to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method sections disclosed in the embodiments, the description of the method sections may be referred to for relevance.

Those of skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. The skilled artisan may use different methods for each particular application to achieve the described functionality, but such implementation should not be considered to be beyond the scope of the embodiments of the present disclosure. It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.

In the embodiments disclosed herein, the disclosed methods, articles of manufacture (including but not limited to devices, apparatuses, etc.) may be practiced in other ways. For example, the apparatus embodiments described above are merely illustrative, and for example, the division of the units may be merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. In addition, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interface, device or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form. The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to implement the present embodiment. In addition, each functional unit in the embodiments of the present disclosure may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. In the description corresponding to the flowcharts and block diagrams in the figures, operations or steps corresponding to different blocks may also occur in different orders than that disclosed in the description, and sometimes no specific order exists between different operations or steps. For example, two consecutive operations or steps may actually be performed substantially in parallel, they may sometimes be performed in reverse order, which may be dependent on the functions involved. Each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

Claims

1. An auxiliary fat reducing method for a refrigerator, comprising:

determining the fat and thin degree information of the user;

under the condition that the fat-lean degree information indicates that the user needs to reduce fat, determining a fat-reducing intervention scheme according to the fat-lean degree information;

and controlling the refrigerator to assist a user in reducing fat according to the fat reducing intervention scheme.

2. The method of claim 1, wherein the determining the user's fat-lean degree information comprises:

acquiring basic information of a user;

determining a Body Mass Index (BMI) value of a user according to the basic information;

and determining the fat and thin degree information corresponding to the BMI value of the user according to the corresponding relation between the BMI value and the fat and thin degree information.

3. The method of claim 1, wherein determining a fat-reducing intervention regimen based on the fat-lean information comprises:

in the case that the fat-lean degree information is overweight, determining a fat-reducing intervention scheme comprising diet intervention and exercise intervention;

in the case that the fat-lean degree information is obese, determining a fat-reducing intervention regimen comprising dietary intervention, exercise intervention and habitual intervention;

4. The method according to claim 1, wherein, in case the fat-reducing intervention scheme comprises a diet intervention and a exercise intervention, said controlling the refrigerator to assist the user in fat-reducing according to the fat-reducing intervention scheme comprises:

acquiring information of food stored in a refrigerator and total daily heat consumption of a user; wherein the total daily caloric consumption includes a base caloric consumption of the user and a caloric consumption of the user due to exercise intervention;

according to the food material information, matching a target food material which is matched with the total daily heat consumption;

and controlling the refrigerator to recommend the target food material to the user.

5. The method of claim 4, wherein controlling the refrigerator to assist a user in reducing fat according to a fat reduction intervention regimen, further comprises:

recording real-time total calories ingested by the user daily;

and controlling the refrigerator to output a first prompt under the condition that the ratio of the real-time total heat to the total daily heat consumption is larger than a preset threshold value and the intention of a user for taking food of the refrigerator is determined.

6. The method of claim 4, wherein, in the case where the fat-reducing intervention program further includes a habitual intervention, the controlling the refrigerator to assist the user in reducing fat according to the fat-reducing intervention program further includes:

controlling the refrigerator to output a second prompt under the condition that the intention of taking unhealthy foods of the refrigerator exists by the user is determined; and/or the number of the groups of groups,

under the condition that poor sleep habits of a user are determined, controlling the refrigerator to output a healthy sleep prompt, and controlling the refrigerator to link with other intelligent household appliances to build a sleep environment.

7. The method according to any one of claims 1 to 6, wherein after controlling the refrigerator to assist a user in reducing fat, the method further comprises:

periodically acquiring the weight change of a user;

and correcting the fat reducing intervention scheme of the user under the condition that the weight change amount is smaller than or equal to the preset weight change amount of the corresponding fat reducing period.

8. The method of claim 7, wherein the modifying the user's fat-reducing intervention regimen comprises:

correcting a maximum daily caloric intake threshold of the user;

acquiring historical fat-reducing periodic user movement preferences;

the daily athletic recommendation of the user is revised based on the athletic preferences.

9. An auxiliary fat reduction device for a refrigerator comprising a processor and a memory storing program instructions, wherein the processor is configured to perform the auxiliary fat reduction method for a refrigerator according to any one of claims 1 to 8 when the program instructions are run.

10. A refrigerator, comprising:

a refrigerator body;

the auxiliary fat reducing device for a refrigerator according to claim 9, mounted to the refrigerator body.