An auxiliary fat-reducing method and device for a refrigerator and the refrigerator

Abstract

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. The auxiliary fat-reducing method for the refrigerator is used for controlling a weighing module to pop up by receiving a user triggering instruction, realizing synchronous collection of body weight and body fat data, avoiding cumbersome operation of using an independent body fat scale, automatically determining a body condition grade and a fat-reducing scheme based on collected data and user basic information, and not needing manual calculation by the user. Recommended food and recipes are directly generated according to the fat-reducing scheme, the diet suggestion is matched with actual household inventory, the problem that a traditional fat-reducing scheme is disconnected with food and is difficult to implement is solved, and a closed loop from physical sign monitoring to diet management is realized.

Description

Technical Field

[0001] This application relates to the field of smart home appliance technology, and in particular to an auxiliary fat reduction method, device and refrigerator for refrigerators. Background Technology

[0002] Currently, refrigerators have become core appliances for food storage and intelligent management in households. Most existing smart refrigerators feature intelligent temperature control, food information management, screen interaction, and nutritional information lookup. Home body fat scales, as independent health monitoring devices, measure body weight and body fat data. Both play roles in food management and human health monitoring, respectively. However, the health management function of smart refrigerators only presents basic food information and lacks deep integration with the user's health data. Independent body fat scales require separate space and manual operation; the two are independent and their data is fragmented, failing to form an integrated health management service.

[0003] The aforementioned existing technologies have obvious drawbacks: smart refrigerators cannot generate weight loss plans based on users' actual weight and body fat data combined with food information; stand-alone body fat scales are not convenient to use, are out of touch with kitchen appliance scenarios, and lack a complete closed loop from physical measurement to weight loss planning and dietary assistance, thus failing to provide users with integrated weight loss assistance services. Summary of the Invention

[0004] Therefore, it is necessary to provide an auxiliary fat reduction method, device, and refrigerator for refrigerators to address the above problems, thereby solving the problem that existing refrigerators have limited functions and cannot provide users with reasonable fat reduction services.

[0005] On the one hand, this application provides an auxiliary fat reduction method for refrigerators, including:

[0006] In response to a user's trigger command, the weighing module hidden at the bottom of the refrigerator pops out;

[0007] The weighing module collects the user's weight data, and the electrodes set at the refrigerator door collect the user's biological signals. The user's body fat data is determined based on the biological signals.

[0008] Based on the weight data, body fat data, and user basic information, determine the user's physical condition level and weight loss plan;

[0009] Based on the weight loss plan, the system recommends ingredients and generates dietary combinations and weight loss recipes for users.

[0010] Optionally, the method, wherein the response to the user's trigger command includes:

[0011] A user's kicking motion is detected by a sensor located at the bottom of the refrigerator, generating a first trigger command; and / or

[0012] The user's touch operation is received by the touch button located on the refrigerator door, and a second trigger command is generated.

[0013] Optionally, the method, wherein determining the user's physical condition level and weight loss plan based on the weight data, the body fat data, and the user's basic information includes:

[0014] Based on the weight data, body fat data, and user basic information, calculate the user's body mass index, basal metabolic rate, and daily total energy consumption.

[0015] Based on the comparison between the body mass index value and the preset threshold, the user's physical condition level is determined as underweight / normal / overweight / obese.

[0016] When a user needs to lose weight, a weight loss plan is determined based on the user's physical condition level, basal metabolic rate, daily total energy consumption, and the user's target weight.

[0017] Optionally, the method, wherein the weight loss program includes:

[0018] The target weight loss is determined based on the difference between the user's current weight and the target weight.

[0019] The fat loss cycle is automatically generated based on the target fat loss weight and the preset safe weight loss speed.

[0020] Daily calorie intake is determined based on the total daily energy expenditure and a preset calorie deficit.

[0021] Optionally, the method, wherein recommending ingredients and generating diet combinations and weight-loss recipes to the user based on the weight-loss plan, includes:

[0022] Obtain information about the food stored in the refrigerator;

[0023] Based on the stated daily calorie intake, determine the calorie ratio for each meal;

[0024] Based on the ingredient information and the calorie ratio of each meal, the refrigerator is matched with suitable target ingredients and controlled to recommend ingredients to the user and generate diet combinations and weight loss recipes.

[0025] Optionally, the method, after controlling the refrigerator to recommend ingredients to the user and generate diet combinations and weight-loss recipes, further includes:

[0026] A weight loss diet plan is generated based on the diet period selected by the user, which may be 1 day, 3 days, or 7 days.

[0027] The weight loss diet includes the amount of ingredients for each meal, cooking methods, estimated calories, and instructions.

[0028] Optionally, the method further includes:

[0029] Records the user's real-time total daily calorie intake;

[0030] If the ratio of the real-time total calories to the daily calorie intake is greater than a preset threshold, the refrigerator is controlled to output a first prompt message, which is used to remind the user that the calorie intake is about to exceed the limit.

[0031] Optionally, the method further includes:

[0032] Periodically acquire the user's weight changes;

[0033] If the weight change is less than the preset weight change for the corresponding weight loss cycle, the weight loss plan is updated.

[0034] Optionally, the method of updating the weight loss program includes:

[0035] Update the daily calorie intake and the calorie ratio per meal, and reduce the upper limit of the daily calorie intake.

[0036] Optionally, the method, after the weighing module at the bottom of the refrigerator pops out, further includes:

[0037] Detect whether there are any obstacles during the extension of the weighing pan of the weighing module;

[0038] If an obstacle is detected, the weighing pan is controlled to stop extending or reverse and retract.

[0039] And / or, detect whether the refrigerator door is open;

[0040] If the refrigerator door is detected to be open, the weighing pan of the weighing module is prevented from extending.

[0041] Optionally, the method, wherein collecting the user's biosignals via electrodes disposed at the refrigerator door, includes:

[0042] Detect whether the user's hands are holding the handles of the refrigerator door;

[0043] Biosignal acquisition is initiated when the user's hands are gripping the handle and the electrodes are in good contact.

[0044] If poor electrode contact is detected, body fat detection will be disabled and an electrode contact abnormality warning will be displayed.

[0045] Optionally, the method further includes:

[0046] The weight data, body fat data, body condition level, and weight loss plan are synchronized to the user's mobile device.

[0047] Receive user basic information updates, historical data query requests, and weight loss goal setting information sent by the mobile terminal.

[0048] On one hand, this application provides an auxiliary fat reduction device for a refrigerator, including a processor and a memory storing program instructions, the processor being configured to execute the auxiliary fat reduction method for a refrigerator as described in any of the preceding claims when running the program instructions.

[0049] On the other hand, this application provides a refrigerator, including: a refrigerator body; and an auxiliary fat reduction device for the refrigerator as described above, which is installed on the refrigerator body.

[0050] The fat-reducing method for refrigerators proposed in this application has at least the following beneficial effects:

[0051] The refrigerator-assisted weight loss method proposed in this application controls the weighing module to pop up by receiving user trigger commands, achieving synchronous collection of weight and body fat data. This avoids the cumbersome operation of using a separate body fat scale. Based on the collected data and the user's basic information, it automatically determines the body condition level and weight loss plan without requiring manual calculation by the user. Based on the weight loss plan, it directly calls upon the refrigerator's food information to generate recommendations and recipes, matching dietary suggestions with the family's actual inventory. This solves the problem of traditional weight loss plans being disconnected from food and difficult to implement, achieving a closed loop from vital sign monitoring to dietary management. Attached Figure Description

[0052] Figure 1 A schematic diagram of the overall process of the assisted weight loss method provided in one embodiment of this application;

[0053] Figure 2 A flowchart illustrating the process of determining a physical condition level and a weight loss plan based on weight data, body fat data, and user basic information, provided for one embodiment of this application.

[0054] Figure 3 A schematic diagram illustrating the process of recommending ingredients to users and generating dietary combinations and weight loss recipes based on a weight loss plan, provided for one embodiment of this application;

[0055] Figure 4 This is a schematic diagram of the process after generating a weight-loss diet plan, provided as an embodiment of this application.

[0056] Figure 5 Another schematic diagram of the auxiliary fat reduction method provided in one embodiment of this application;

[0057] Figure 6 This is a schematic diagram of the overall structure of a refrigerator provided in one embodiment of this application.

[0058] Explanation of reference numerals in the attached figures:

[0059] 200 - Refrigerator; 210 - Refrigerator body; 220 - Weighing module; 230 - Display screen. Detailed Implementation

[0060] To make the technical solution and beneficial effects of this application more apparent and understandable, a detailed description is provided below by listing specific embodiments. The accompanying drawings are not necessarily drawn to scale, and local features may be enlarged or reduced to more clearly show the details of the local features; unless otherwise defined, the technical and scientific terms used herein have the same meanings as those in the technical field to which this application pertains.

[0061] In some embodiments, such as Figure 1 As shown, this application provides an auxiliary fat reduction method for refrigerators, including the following steps:

[0062] S100: Responds to the user's trigger command to control the weighing module hidden at the bottom of the refrigerator to pop out.

[0063] When a user needs to use the body fat scale function, the refrigerator receives a trigger command, causing the weighing module hidden at the bottom of the refrigerator to automatically pop out. Normally, this weighing module is completely retracted inside the refrigerator base, blending seamlessly with the refrigerator's exterior.

[0064] S200: Collects the user's weight data through a weighing module, collects the user's biosignals through electrodes placed on the refrigerator door, and determines the user's body fat data based on the biosignals.

[0065] The user stands on the pop-up weighing module, where a built-in high-precision pressure sensor collects the user's weight data. Simultaneously, the user naturally grips the handles at the bottom of the refrigerator door, with conductive electrodes on either side of the handles contacting the user's palms to form a bioelectrical impedance analysis circuit, collecting the user's biosignals. Based on the principle of bioelectrical impedance analysis, the system analyzes the impedance value of the current passing through the body to calculate the user's body fat percentage, muscle mass, water percentage, and other body fat data.

[0066] S300: Determines the body condition level and weight loss plan based on weight data, body fat data, and user basic information.

[0067] The system acquires the user's weight and body fat data, and combines this with the user's pre-entered basic information (including age, gender, height, and daily activity level) to calculate the user's body mass index, basal metabolic rate, and daily total energy expenditure. Based on these indicators, the system assesses the user's physical condition and determines an appropriate weight loss plan.

[0068] S400: Based on the weight loss plan, recommends ingredients to users and generates diet combinations and weight loss recipes.

[0069] Based on the determined weight loss plan, the system reads the information of the food currently stored in the refrigerator, combines it with the total daily energy consumption, filters out suitable target foods, controls the refrigerator to recommend foods to the user, and generates specific dietary combinations and weight loss recipes.

[0070] The proposed method for assisting weight loss in refrigerators utilizes a weighing module triggered by a user to simultaneously collect weight and body fat data. This avoids the cumbersome operation of using a separate body fat scale. Based on the collected data and the user's basic information, the method automatically determines the user's physical condition level and weight loss plan without requiring manual calculation. Furthermore, it directly accesses refrigerator food information to generate recommendations and recipes, ensuring that dietary suggestions match the family's actual inventory. This solves the problem of traditional weight loss plans being disconnected from food availability and difficult to implement, thus achieving a closed loop from vital sign monitoring to dietary management.

[0071] In some embodiments, the assisted weight loss method proposed in this application further includes the following steps before step S100:

[0072] A foot kick sensor located at the bottom of the refrigerator detects the user's kicking motion and generates a first trigger command. The foot kick sensor is positioned at the front bottom of the refrigerator, close to the ground. When the user is holding food with both hands or has difficulty operating the refrigerator, they can simply kick the front bottom area of ​​the refrigerator with their foot. The sensor detects the kick and generates a first trigger command, which then controls the weighing module to pop out.

[0073] The refrigerator door receives user touch input via touch buttons and generates a second trigger command. The refrigerator door display screen also features touch buttons. When a user controls the refrigerator via these buttons, touching the corresponding icon on the display screen triggers a second trigger command, which in turn pops out the weighing module.

[0074] The above steps can be performed individually or simultaneously, depending on the user's choice. After the weighing module pops up, if no user is detected standing on the weighing pan within the set time, or if a delay has elapsed after the measurement is completed, the weighing module will automatically retract and hide.

[0075] In the above embodiments, the foot-kick triggering method fully considers the special characteristics of the kitchen scenario—users often hold food and tableware with both hands or have wet hands, making traditional button or touch operation difficult to implement. The foot-kick method achieves convenient, contactless, and manual triggering. The touch-sensitive buttons on the display screen meet the needs of users with different usage habits, such as avoiding accidental triggering when cleaning the refrigerator. The dual triggering mechanism covers different usage scenarios, improving the naturalness and flexibility of operation.

[0076] In some embodiments, such as Figure 2 As shown, the fat reduction assisted method proposed in this application specifically includes the following sub-steps in step S300:

[0077] S310: Calculates the user's body mass index, basal metabolic rate, and daily total energy expenditure based on weight data, body fat data, and user basic information.

[0078] Based on the collected weight and body fat data, combined with the user's basic information, the following calculations are performed:

[0079] Calculate your Body Mass Index (BMI): BMI = weight (kg) / height (m) 2 .

[0080] Basal metabolic rate (BMR) was calculated using the Harris-Benedict formula.

[0081] Male BMR = 88.362 + (13.397 × weight) + (4.799 × height) - (5.677 × age);

[0082] For women, BMR = 447.593 + (9.247 × weight) + (3.098 × height) - (4.330 × age).

[0083] Calculate Total Daily Energy Expenditure (TDEE): TDEE = BMR × Activity Coefficient. The activity coefficient is set according to the user's daily activity level: 1.2 for sedentary lifestyle, 1.375 for light activity, 1.55 for moderate activity, and 1.725 for high-intensity activity.

[0084] S320: Based on the comparison between the body mass index value and the preset threshold, determine the user's body condition level as underweight / normal / overweight / obese.

[0085] Based on the comparison between the Body Mass Index (BMI) value calculated in step S310 and the preset threshold, the user's physical condition level is determined: BMI < 18.5 is underweight, 18.5 ≤ BMI < 24 is normal, 24 ≤ BMI < 28 is overweight, and BMI ≥ 28 is obese.

[0086] S330: When a user needs to lose fat, a fat loss plan is determined based on the user's physical condition level, basal metabolic rate, daily total energy consumption, and the user's target weight.

[0087] In the above embodiments, a vital sign calculation model is constructed using three-dimensional indicators: BMI, BMR, and TDEE. This expands single weight data into a multi-dimensional assessment system encompassing body composition, energy metabolism, and activity expenditure. Based on preset thresholds, the system automatically determines the level of physical condition. By integrating the user-set target weight with the system-calculated vital sign data, a complete weight loss plan is automatically generated, automating the process from vital sign data collection to plan output. This provides a foundation for subsequent food recommendations and recipe generation.

[0088] In some embodiments, the weight loss plan includes: a target weight loss, determined based on the difference between the user's current weight and the target weight; a weight loss cycle, automatically generated based on the target weight loss and a preset safe weight loss rate; and daily calorie intake, determined based on total daily energy expenditure and a preset calorie deficit.

[0089] Specifically, the weight loss plan includes: Target weight loss calculation – Based on the difference between the user's current weight and the set target weight, the required weight loss is determined. For example, if the user's current weight is 80kg and the set target weight is 70kg, then the target weight loss is 10kg. Weight loss cycle calculation – Calculated based on a safe weight loss rate of 0.5-1kg per week, generating the total weight loss cycle. For example, if the target weight loss is 10kg, a cycle of 20 weeks is calculated at 0.5kg per week; a cycle of 10 weeks is calculated at 1kg per week. The system defaults to a conservative plan of 0.5kg per week, which users can adjust according to their own situation. Daily calorie intake is set as TDEE minus a calorie deficit of 300kcal-500kcal (intentionally reducing daily calorie intake by 300kcal-500kcal will cause the body to use fat for energy, thus resulting in weight loss). The above weight loss plan may also include meal calorie ratios and exercise recommendations. The recommended calorie distribution for each meal is 25% for breakfast, 35% for lunch, 25% for dinner, and 15% for a snack, or adjusted according to user habits. Exercise recommendations include the frequency and duration of weekly aerobic exercise, strength training suggestions, etc.

[0090] In some embodiments, such as Figure 3 As shown, in the assisted weight loss method proposed in this application, step S400 involves recommending ingredients to the user and generating dietary combinations and weight loss recipes based on the weight loss plan, including:

[0091] S410: Obtain information about the food stored in the refrigerator.

[0092] The system establishes a refrigerator food database, recording the food information of currently stored food: food type (such as chicken breast, broccoli, brown rice, etc.), nutritional components (protein content, dietary fiber, fat content, carbohydrate content, etc.), calorie data (calories per 100 grams of edible portion), and shelf life data (production date, expiration date, best before date).

[0093] S420: Determine the calorie ratio for each meal based on daily calorie intake.

[0094] Based on the total daily energy expenditure calculated in step S310 and the calorie requirements in the weight loss plan determined in step S330, the user's daily calorie intake is determined. Based on the daily calorie intake and the calorie distribution of each meal (e.g., 25% for breakfast, 35% for lunch, 25% for dinner, and 15% for snacks), the calorie value for each meal is calculated.

[0095] S430: Based on the ingredient information and the calorie ratio of each meal, it matches suitable target ingredients and controls the refrigerator to recommend ingredients to users and generate diet combinations and weight loss recipes.

[0096] Under the constraint of the calorie ratio (calorie value of each meal), the system traverses the refrigerator's food database, prioritizing high-protein, high-fiber, low-calorie, and low-glycemic index ingredients. It also considers the shelf life of the ingredients, recommending those nearing their expiration date to reduce waste. Based on the target ingredients matched in step S430, the system recommends an ingredient list to the user and generates a specific dietary plan and weight-loss recipe, including suggested ingredient combinations and portion sizes for each meal. After completing step S430, the user can follow the generated recipe to implement the weight-loss plan.

[0097] In the above embodiments, the linkage between the weight loss plan and the actual food inventory in the refrigerator ensures that the recommended dietary advice is based on the food available to the user at present. This solves the problem of traditional weight loss apps or nutritionist advice being out of touch with the actual food available at home, requiring users to purchase specific ingredients separately to follow the plan. The logic of prioritizing recommendations for foods nearing their expiration date reduces food waste while achieving health management, thus improving the economic efficiency of food management.

[0098] In some embodiments, the assisted weight loss method proposed in this application further includes, after step S430:

[0099] Generate a weight loss diet plan based on the diet cycle selected by the user.

[0100] The system offers users a variety of recipe cycle options: 1-day, 3-day, or 7-day recipes. Users select the cycle via the door display or mobile terminal based on their own plans and execution preferences.

[0101] Based on the selected period, and combined with the daily calorie intake requirements and meal calorie ratios determined in step S420, the system plans the dietary arrangements for the entire period. Taking a 7-day meal plan as an example, the system ensures a variety of ingredients each day, avoiding the repetition of the same ingredients for several consecutive days, and guaranteeing nutritional balance. It also considers the ease of sourcing ingredients and the complexity of cooking, controlling the overall difficulty to suit everyday family cooking.

[0102] The specific details of a weight loss diet plan include: the amount of ingredients for each meal (e.g., 150g of chicken breast and 200g of broccoli), the cooking method (e.g., steaming, boiling, or stir-frying with a little oil), the estimated calories (approximately 375kcal for breakfast, 525kcal for lunch, 375kcal for dinner, and 225kcal for a snack), and instructions for preparation (detailed processing steps, seasoning suggestions, cooking time, etc.).

[0103] In the above embodiments, multiple meal plan cycle options are provided to meet different user needs: a 1-day meal plan is suitable for users who want to try it quickly or make temporary adjustments; a 3-day meal plan is suitable for short-term implementation and effect observation; and a 7-day meal plan helps to form relatively stable eating habits. The meal plans include detailed ingredient quantities, cooking methods, and instructions, transforming abstract weight loss goals into concrete and actionable guidelines, reducing the difficulty for users to implement weight loss plans, and making the weight loss program practically feasible.

[0104] In some embodiments, such as Figure 4 As shown, the fat-loss assisted method proposed in this application, after generating a fat-loss diet plan and executing the plan, also includes the following steps:

[0105] S440: Records the user's real-time total daily calorie intake.

[0106] When users eat according to the generated weight-loss diet plan, they can record their actual intake for each meal via the refrigerator door display or a mobile device. The system automatically calculates and accumulates the total daily calories based on the ingredients and portion sizes entered or selected by the user.

[0107] S450: When the ratio of real-time total calories to daily calorie intake exceeds a preset threshold, the refrigerator is controlled to output a first alert message, which is used to remind the user that calorie intake is about to exceed the limit.

[0108] The system continuously compares the real-time total calories recorded in step S440 with the daily calorie intake determined in step S330. It determines whether the ratio of real-time total calories to daily calorie intake is greater than a preset threshold (e.g., 80%). If the determination is yes, the system controls the refrigerator to output a first prompt message, such as displaying "Today's calorie intake is about to reach the target, please pay attention," on the door display screen, or reminding the user through sound, light, or other means. If the determination is no, the system returns to step S440 to continue recording.

[0109] If the user continues to record their intake, determine whether the real-time total calories have reached or exceeded the daily calorie intake. If the result is yes, output a second prompt message, informing the user that their daily calorie intake has exceeded the limit, and suggesting that they increase exercise or adjust their subsequent diet.

[0110] In the above embodiments, a real-time calorie recording and tiered early warning mechanism transforms traditional post-event recording into pre-event prevention and process intervention. Timely reminders when calorie intake is about to reach the target level help users develop self-awareness of calorie control during meals, preventing unknowingly overeating and interrupting their weight loss plan. The reminders are output through the refrigerator, integrated with the user's natural behavior of taking out and putting away ingredients and preparing meals, ensuring timely reminders that are unlikely to be ignored.

[0111] In some embodiments, such as Figure 5 As shown, the fat-loss assisted method proposed in this application involves periodically performing the following steps during the fat-loss plan:

[0112] S500: Periodically acquires the user's weight changes.

[0113] The system periodically acquires the user's weight changes on a weekly basis. Each time the user measures their weight using the weighing module in step S200, the data is automatically recorded and a weight change curve is generated.

[0114] S510: If the weight change is less than the preset weight change for the corresponding weight loss cycle, update the weight loss plan.

[0115] The system sets a preset weight change target based on the user's defined weight loss cycle. For example, if the user sets a healthy weight loss rate of 0.5 kg per week, the preset weight change target is 0.5 kg per week. The system then checks if the actual weight change is less than the preset target. If the result is no, the current weight loss plan is maintained, and the system returns to step S500 to continue monitoring. If the result is yes, the weight loss plan is updated.

[0116] The updates include: recalculating daily calorie intake and reducing it by 100-200 kcal from the current level; adjusting the calorie ratio of each meal, appropriately reducing the proportion of calories in dinner; optimizing the food recommendation strategy, further selecting low-calorie, high-satiety foods; and adjusting exercise recommendations, increasing suggestions on exercise frequency or intensity.

[0117] S520: Update daily calorie intake and calorie ratio per meal, reducing the upper limit of daily calorie intake.

[0118] The updated weight loss plan from step S520 is simultaneously pushed to the user via the door display screen and mobile terminal. The user can choose to accept the adjustment or maintain the original plan. If the user accepts the adjustment, return to step S420, redetermine the upper limit of calories per meal based on the new daily calorie intake, and generate a meal plan.

[0119] In the above embodiments, the dynamic adjustment mechanism of the weight loss program achieves closed-loop management of the weight loss process. When the actual results deviate from expectations, the system automatically optimizes calorie control and dietary ratios, avoiding the weight loss plateau caused by changes in the body's metabolic adaptation due to a single fixed program. This allows the weight loss plan to remain effective based on individual response differences, improving the long-term success rate of weight loss.

[0120] In some embodiments, the assisted weight loss method proposed in this application further includes the following sub-steps in step S100:

[0121] S110: Detect any obstacles during the extension of the weighing pan of the weighing module. The weighing pan of the weighing module is electrically driven for extension and retraction. During the extension process, infrared sensors or pressure sensors detect whether there are any obstacles in front of or below the pan. If an obstacle is detected, the weighing pan is controlled to stop extending or reverse and retract to avoid collision. If no obstacle is detected, proceed to step S120.

[0122] S120: Detects whether the refrigerator door is open. The system monitors the opening status of the refrigerator door in real time. If the refrigerator door is detected to be open, the weighing pan of the weighing module is prevented from extending to avoid collision with users retrieving food from the refrigerator. If the refrigerator door is not open, step S100 is executed normally to control the weighing pan to extend.

[0123] In addition, the system can monitor the temperature and operating current of the weighing module. When an abnormal temperature rise or overload current is detected, it will trigger a protective shutdown and output a fault prompt.

[0124] In the above embodiments, multiple safety protection mechanisms fully consider the complexity of the kitchen environment and the safety needs of home use. Obstacle detection avoids potential collision injuries when the weighing pan extends, and anomaly monitoring protects the motor and transmission mechanism. The weighing module extension detection mechanism of this application can adapt to home environments with children and pets, as well as complex situations such as debris and water stains that may exist on the kitchen floor, ensuring the reliability and service life of the equipment.

[0125] In some embodiments, the fat reduction assisted method proposed in this application includes the following sub-steps in step S200:

[0126] S210: Detects whether the user's hands are holding the handles of the refrigerator door.

[0127] Conductive electrodes are embedded in the grooves of the refrigerator door handle, with the electrode surface flush with the handle's exterior. A capacitive sensor is installed inside the handle to detect whether the user's hands are gripping it.

[0128] If no two-hand grip is detected, prompt the user to adjust their posture and re-detect. If two-hand grip is detected, proceed to step S220.

[0129] S220: Check if the electrode contact is good.

[0130] The contact quality between the detection electrode and the palm is determined by measuring the circuit resistance to determine whether the contact is good.

[0131] If poor contact occurs, proceed to step S221: Body fat detection is disabled, an abnormal electrode contact warning is displayed, and the user is advised to clean their hands, adjust their grip, or re-grip and return to step S210 to try again. If good contact occurs, proceed to step S230: Biosignal acquisition is initiated, a safe microcurrent (usually less than 1mA) is applied to the body, bioelectrical impedance is measured, and body fat data is determined. If poor contact occurs, the system prompts the user to re-grip and disables detection.

[0132] In the above embodiments, the stability and accuracy of bioelectrical impedance signal acquisition are ensured by detecting the grip state and judging the electrode contact quality. If poor contact occurs, detection is disabled and the user is alerted, preventing erroneous data caused by contact problems from entering the health record and ensuring the scientific validity of subsequent weight loss plans. Simultaneously, the detection logic is integrated with the user's natural grip action, maintaining a simple interaction while ensuring data quality.

[0133] In some embodiments, after data collection in step S200, the assisted weight loss method proposed in this application further includes the following steps:

[0134] S240: Synchronize data to mobile terminal. The weight data and body fat data collected in step S200, as well as the body condition level calculated in step S320 and the fat loss plan determined in step S330, are synchronized to the user's mobile terminal (smartphone or tablet) via WiFi network.

[0135] S250: Receives interactive commands from the mobile terminal. It receives user basic information update requests, historical data query requests, and weight loss goal setting information sent by the mobile terminal. Users can view historical measurement data at any time on the mobile terminal, browse weight change curves and body fat percentage change trends in chart form, update basic information (such as height and age adjustments), query historical data for any time period, or reset weight loss goals (such as adjusting target weight or modifying the weight loss cycle).

[0136] S260: Send updated information back to the refrigerator system. The updated and setting information received in step S250 is sent back to the refrigerator system in real time to ensure data consistency between the two ends, which is used for calculations in subsequent step S310 and scheme updates in step S520. The system supports multi-user account management, with data from different family members stored and synchronized separately.

[0137] In this embodiment, the data synchronization function breaks the limitations of using a refrigerator as a fixed household appliance. Users can view health data and adjust their weight loss plans at any time without having to stand in front of the refrigerator, enabling cross-device management of health records and long-term trend tracking. Multi-user account support allows one refrigerator to serve all family members, each managing their own independent health data, enhancing the applicability and value of the device.

[0138] In some embodiments, this application provides an auxiliary fat reduction device for a refrigerator. The device includes a processor and a memory storing program instructions. The processor uses an ARM architecture embedded chip with a main frequency of no less than 1 GHz, possessing sufficient computing power to run the vital sign calculation algorithm and food matching logic. The memory includes a non-volatile storage medium (such as a Flash memory chip) and RAM. The non-volatile storage medium stores the operating system, program instructions for the auxiliary fat reduction method, and a food nutrition database, while the RAM provides temporary data space for program execution. The processor connects to the drive motor and sensor of the weighing module via a general-purpose input / output interface, connects to the weighing sensor and body fat detection electrode via an ADC (analog-to-digital converter) interface, achieves network communication via a WiFi module, and connects to the door display screen via a display interface. The processor is configured to execute the auxiliary fat reduction method for a refrigerator as described above, performing the steps of the method, when running the program instructions in the memory.

[0139] In the above embodiments, the auxiliary fat reduction device adopts a modular design, with core functions concentrated in an independent control unit, facilitating integration with refrigerators of different models and structures. The processor and memory hardware configuration provides reliable computing power support for real-time vital sign calculation, intelligent scheme generation, and multi-task concurrent processing, ensuring the system's response speed and operational stability.

[0140] In some embodiments, such as Figure 6As shown, this application provides a refrigerator 200. The refrigerator 200 includes a refrigerator body 210 and an auxiliary degreasing device as described above. The refrigerator body adopts a French door or French door structure, with reserved space at the bottom for installing a weighing module 220. A handle structure with integrated electrodes is configured at the bottom of the refrigerator door, and a display screen 230 is embedded in the upper part of the door as an interactive interface. The auxiliary degreasing device is installed in the control compartment of the refrigerator body, relatively independent of the refrigerator's refrigeration control system, and performs necessary data interaction through a standard communication protocol (such as obtaining the door opening / closing status for step S120). The weighing module 220 is installed inside the base at the bottom of the refrigerator and is connected to the auxiliary degreasing device via a cable. When used by the user, the auxiliary degreasing device executes the steps described above to achieve a complete auxiliary degreasing function process.

[0141] In the above embodiments, the deep integration of the weight-loss aid device with the refrigerator body enables traditional home appliances to possess health management functions. Users naturally monitor their vital signs and manage their diet during frequent daily refrigerator use, eliminating the need to purchase, place, or learn how to use other health devices, thus reducing the cost and operational complexity of family health management. This integrated design upgrades the refrigerator from a simple food storage device into the core entry point for a family health management center, meeting the modern family's demand for convenient and intelligent healthy living.

[0142] It should be understood that the above embodiments are exemplary and are not intended to encompass all possible implementations included in the claims. Various modifications and changes can be made to the above embodiments without departing from the scope of this disclosure. Similarly, the various technical features of the above embodiments can be arbitrarily combined to form other embodiments of this application that may not be explicitly described. Therefore, the above embodiments only illustrate several implementations of this application and do not limit the scope of protection of this patent application.

Claims

1. A method for assisting in fat reduction in a refrigerator, characterized in that, include: In response to a user's trigger command, the weighing module hidden at the bottom of the refrigerator pops out; The weighing module collects the user's weight data, and the electrodes set at the refrigerator door collect the user's biological signals. The user's body fat data is determined based on the biological signals. Based on the weight data, body fat data, and user basic information, determine the user's physical condition level and weight loss plan; Based on the weight loss plan, the system recommends ingredients and generates dietary combinations and weight loss recipes for users.

2. The method according to claim 1, characterized in that, The response to the user's trigger command includes: A user's kicking motion is detected by a sensor located at the bottom of the refrigerator, generating a first trigger command; and / or The user's touch operation is received by the touch button located on the refrigerator door, and a second trigger command is generated.

3. The method according to claim 1, characterized in that, The step of determining the user's physical condition level and weight loss plan based on the weight data, body fat data, and user basic information includes: Based on the weight data, body fat data, and user basic information, calculate the user's body mass index, basal metabolic rate, and daily total energy consumption. Based on the comparison between the body mass index value and the preset threshold, the user's physical condition level is determined as underweight / normal / overweight / obese. When a user needs to lose weight, a weight loss plan is determined based on the user's physical condition level, basal metabolic rate, daily total energy consumption, and the user's target weight.

4. The method according to claim 3, characterized in that, The weight loss program includes: The target weight loss is determined based on the difference between the user's current weight and the target weight. The fat loss cycle is automatically generated based on the target fat loss weight and the preset safe weight loss speed. Daily calorie intake is determined based on the total daily energy expenditure and a preset calorie deficit.

5. The method according to claim 4, characterized in that, The process of recommending ingredients and generating diet combinations and weight loss recipes to users based on the weight loss plan includes: Obtain information about the food stored in the refrigerator; Based on the stated daily calorie intake, determine the calorie ratio for each meal; Based on the ingredient information and the calorie ratio of each meal, the refrigerator is matched with suitable target ingredients and controlled to recommend ingredients to the user and generate diet combinations and weight loss recipes.

6. The method according to claim 5, characterized in that, After the refrigerator is controlled to recommend ingredients to the user and generate diet combinations and weight loss recipes, the method further includes: A weight loss diet plan is generated based on the diet period selected by the user, which may be 1 day, 3 days, or 7 days. The weight loss diet includes the amount of ingredients for each meal, cooking methods, estimated calories, and instructions.

7. The method according to claim 6, characterized in that, Also includes: Records the user's real-time total daily calorie intake; If the ratio of the real-time total calories to the daily calorie intake is greater than a preset threshold, the refrigerator is controlled to output a first prompt message, which is used to remind the user that the calorie intake is about to exceed the limit.

8. The method according to claim 5, characterized in that, The method further includes: Periodically acquire the user's weight changes; If the weight change is less than the preset weight change for the corresponding weight loss cycle, the weight loss plan is updated.

9. The method according to claim 8, characterized in that, The update of the weight loss plan includes: Update the daily calorie intake, decrease the value of the daily calorie intake; and / or Update the calorie ratio for each meal.

10. The method according to claim 1, characterized in that, After the weighing module at the bottom of the refrigerator pops out, it also includes: Detect whether there are any obstacles during the extension of the weighing pan of the weighing module; If an obstacle is detected, the weighing pan is controlled to stop extending or reverse and retract. And / or, detect whether the refrigerator door is open; If the refrigerator door is detected to be open, the weighing pan of the weighing module is prevented from extending.

11. The method according to claim 1, characterized in that, The method of collecting the user's biosignals through electrodes installed at the refrigerator door includes: Detect whether the user's hands are holding the handles of the refrigerator door; Biosignal acquisition is initiated when the user's hands are gripping the handle and the electrodes are in good contact. If poor electrode contact is detected, body fat detection will be disabled and an electrode contact abnormality warning will be displayed.

12. An auxiliary fat-reducing device for a refrigerator, comprising a processor and a memory storing program instructions, characterized in that, The processor is configured to execute, when running the program instructions, the auxiliary fat reduction method for a refrigerator as described in any one of claims 1 to 11.

13. A refrigerator, characterized in that, include: Refrigerator body; The auxiliary fat reduction device for a refrigerator as described in claim 12 is installed on the refrigerator body.

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