A multi-partition nutrition meal plate and intake check-in system

Abstract

This invention discloses a multi-zone nutrition plate and intake tracking system, comprising: a plate body, a zoned weighing and data acquisition module, an actual intake measurement module, a nutrient intake calculation module, and a tracking system. The plate body has multiple independent weight-bearing zones. The zoned weighing and data acquisition module is correspondingly configured to each of the multiple independent weight-bearing zones, collecting weight data of food within each zone. The actual intake measurement module is signal-connected to the zoned weighing and data acquisition module to obtain the actual intake of food corresponding to each independent weight-bearing zone for the user's meal. The nutrient intake calculation module calculates the user's nutrient intake data for the meal. The tracking system generates a nutrition tracking record for the meal. The advantages of this invention compared to existing technologies are: it provides a multi-zone nutrition plate and intake tracking system for dynamic intake recognition, nutrient calculation, and automatic tracking.

Description

Technical Field

[0001] This invention relates to the field of health data management technology, specifically to a multi-zone nutrition plate and intake tracking system. Background Technology

[0002] In clinical nutrition, chronic disease management, weight management, diabetes management, perioperative nutritional support, maternal and child nutrition management, geriatric nutrition management, oncology nutritional support, and discharge follow-up scenarios, accurately grasping the actual intake of users or patients at each meal is an important foundation for formulating nutritional prescriptions, judging the implementation of nutritional prescriptions, evaluating the effectiveness of interventions, and dynamically adjusting management plans.

[0003] Existing dietary record methods mainly include manual food diaries, dietary reviews, photo estimation, weighing with ordinary electronic scales, nutritionist interviews, and manual check-ins by users.

[0004] The above method has the following shortcomings: First, manual dietary records rely on users to fill them out voluntarily, which makes it easy to miss or make mistakes, resulting in poor long-term adherence.

[0005] Secondly, estimating based on photos is easily affected by factors such as lighting, angle, plating, food obstruction, degree of mixing of dishes, and judgment of remaining amount, making it difficult to consistently reflect the actual intake weight.

[0006] Third, ordinary electronic scales usually only provide the total weight and cannot effectively distinguish between different nutrition management categories such as staple foods, protein foods, vegetables, fruits, and nutritional supplements.

[0007] Fourth, some devices can only record the amount of food served or the weight of the plates, and cannot accurately reflect the amount of food actually consumed by the user.

[0008] Fifth, existing attendance systems rely heavily on users taking photos, filling out forms manually, or simply signing in, which can easily lead to problems such as missed attendance, fake attendance, perfunctory attendance, and incomplete data.

[0009] Sixth, most existing dietary record tools have failed to form a closed loop with individualized nutrition prescriptions, quantitative conversion of cooked food, nutrient calculation, automatic check-in, effect tracking, and follow-up management.

[0010] Therefore, there is a need for a smart plate and system that can automatically collect weight changes of different food categories during a user's normal meal, measure the actual intake of a meal, automatically calculate nutrient intake, and upload the data to a check-in system in real time to complete the nutrition check-in. Summary of the Invention

[0011] The technical problem to be solved by the present invention is to overcome the above-mentioned technical defects and provide a multi-zone nutrition plate and intake check-in system for dynamic intake identification, nutrient calculation and automatic check-in.

[0012] To solve the above-mentioned technical problems, the technical solution provided by the present invention is: a multi-zone nutrition plate and intake tracking system, comprising: a plate body, a zone weighing and data acquisition module, an actual intake measurement module, a nutrient intake calculation module, and a tracking system; The plate body is provided with multiple independent load-bearing areas; The partitioned weighing and acquisition module is set up with multiple independent load-bearing areas respectively, and collects the weight data of food in each independent load-bearing area respectively; The actual intake measurement module is connected to the zone weighing acquisition module. Based on the pre-meal weight data, the weight change data during the meal, and the remaining weight data after the meal, the actual intake of food corresponding to each independent load-bearing zone of the user's meal is obtained. The nutrient intake calculation module calculates the user's nutrient intake data for this meal based on the actual intake and food category information. The check-in system receives actual intake and nutrient intake data, and automatically generates a nutritional check-in record for the meal.

[0013] Preferably, the plurality of independent load-bearing areas include at least a staple food area, a high-quality protein area, and a vegetable area.

[0014] Preferably, it also includes a food category identification module; the food category identification module determines food category information through fixed partition identification, label identification, or user confirmation.

[0015] Preferably, the actual intake measurement module is also used to identify mid-course additions, non-intake removals, or abnormal weight changes, and to correct the corresponding data.

[0016] Preferably, the nutrient intake calculation module is also connected to a nutrient database to calculate the user's nutrient intake data for this meal. The nutrient intake data include one or more of the following: energy, protein, fat, carbohydrates, and dietary fiber.

[0017] Preferably, the check-in system determines the check-in status based on the actual intake, nutrient intake data, and preset check-in conditions; The check-in status includes completed check-in, partially completed check-in, or check-in not meeting the target.

[0018] Preferably, it also includes a nutritional prescription comparison module and an effect tracking module; The nutrition prescription comparison module compares nutrient intake data with individualized nutrition prescriptions and generates deviation alerts. The effect tracking module summarizes nutrition check-in records over multiple days and generates a follow-up report based on health indicators.

[0019] Another aspect of the present invention discloses a multi-zone nutrition plate and an intake tracking method, comprising the following steps: S1: Collect pre-meal weight data, weight change data during the meal, and remaining weight data after the meal for each independent load-bearing area; S2: Determine the actual intake of food in each section of the user's meal based on the weight data; S3: Calculate the user's nutrient intake data for this meal based on actual intake and food category information; S4: The check-in system automatically generates a nutritional check-in record for this meal based on actual intake and nutrient intake data.

[0020] Preferably, the calculation of the actual food intake in S2 includes identifying and correcting for mid-course additions, non-ingestion removals, or abnormal weight changes; When calculating nutrient intake data in S3, the nutrient database is called to query the nutrient content parameters corresponding to each food category.

[0021] Preferably, step S4 further includes comparing nutrient intake data with individualized nutritional prescriptions to generate deviation alerts, and summarizing multi-day nutrition check-in records and combining them with health indicators to generate follow-up reports.

[0022] The advantages of this invention compared to the prior art are: By collecting weight changes of different nutritional categories of food in multiple independent load-bearing areas, the problem of traditional weighing methods that can only obtain the total weight but cannot classify the food is avoided. The system not only records the weight of the plated food or the weight of the meal served, but also obtains the user's actual intake for each meal based on the weight changes before, during, and after the meal. The system calculates the user's nutrient intake data for this meal based on actual intake, food category, dish information, and nutrition database. The system compares the user's actual intake data with the individualized nutrition prescription to generate intake achievement status, deviation prompts, and adjustment suggestions; The system uploads actual intake and nutrient data to the check-in system in real time or near real time, and automatically generates a nutritional check-in record for the meal when the valid check-in conditions are met. The system can combine intake data from multiple meals or days with indicators such as weight, blood sugar, blood lipids, blood pressure, uric acid, albumin, hemoglobin, and muscle mass to generate a nutrition management report. Attached Figure Description

[0023] Figure 1 This is a schematic diagram of a multi-zone nutrition plate and intake tracking system.

[0024] Figure 2 This is a flowchart illustrating a multi-zone nutrition plate and an intake tracking method. Detailed Implementation

[0025] The present invention will now be described in further detail with reference to the accompanying drawings.

[0026] Combined with appendix Figure 1-2 As shown, a multi-zone nutrition plate and intake tracking system include: a plate body, a zone weighing and data acquisition module, an actual intake measurement module, a nutrient intake calculation module, and a tracking system. The plate body is provided with multiple independent load-bearing areas; The partitioned weighing and acquisition module is set up with multiple independent load-bearing areas respectively, and collects the weight data of food in each independent load-bearing area respectively; The actual intake measurement module is connected to the zone weighing acquisition module. Based on the pre-meal weight data, the weight change data during the meal, and the remaining weight data after the meal, the actual intake of food corresponding to each independent load-bearing zone of the user's meal is obtained. The nutrient intake calculation module calculates the user's nutrient intake data for this meal based on the actual intake and food category information. The check-in system receives actual intake and nutrient intake data, and automatically generates a nutritional check-in record for the meal.

[0027] The multiple independent load-bearing areas include at least a staple food area, a high-quality protein area, and a vegetable area, and also include a food category identification module; the food category identification module determines food category information through fixed partition identification, label identification, or user confirmation.

[0028] The actual intake measurement module is also used to identify mid-meal additions, non-intake removals, or abnormal weight changes, and to correct the corresponding data. The nutrient intake calculation module is also connected to a nutrient database to calculate the user's nutrient intake data for this meal. The nutrient intake data includes one or more of energy, protein, fat, carbohydrates, and dietary fiber.

[0029] The check-in system determines the check-in status based on actual intake, nutrient intake data, and preset check-in conditions; the check-in status includes completed check-in, partially completed check-in, or check-in not meeting the target.

[0030] It also includes a nutrition prescription comparison module and an effect tracking module; The nutrition prescription comparison module compares nutrient intake data with individualized nutrition prescriptions and generates deviation alerts. The effect tracking module summarizes nutrition check-in records over multiple days and generates a follow-up report based on health indicators.

[0031] The multi-zone intelligent nutrition plate of the present invention includes a plate body and multiple independent load-bearing zones. Different load-bearing zones are used to place foods of different nutrition management categories. The weight data of each load-bearing zone can be obtained through an independent weighing acquisition module.

[0032] The number of partitions is not limited to three, four, or five partitions; it can be expanded according to the application scenario.

[0033] The system can determine food categories through fixed partitions, labels, codes, user confirmation, image recognition, or a combination of these methods. Different recognition methods can be used for different application scenarios.

[0034] For example: In a home setting, a combination of fixed partitions and user confirmation can be used; In hospital settings, a combination of food codes, bed numbers, user identities, and a standard menu database can be used. Outpatient health management scenarios can employ a combination of user selection, label recognition, and nutritional prescription linkage.

[0035] By collecting data on weight changes before, during, and after meals, the actual intake of the user for this meal can be determined.

[0036] Actual intake is not simply the weight of the meal provided, nor is it the result of a single weighing. Rather, it is a comprehensive measure of weight changes during the eating process.

[0037] The system can identify, mark, correct, or prompt for confirmation of additions during the meal, non-ingestion removals, container changes, plate movements, or abnormal weight changes.

[0038] Specific identification rules, parameter thresholds, and correction models can be configured according to different application scenarios.

[0039] Based on actual intake and food category information, the system accesses a nutrition database or dish database to calculate the user's nutrient intake data for this meal.

[0040] Nutrient intake data may include: 1. Energy; 2. Protein; 3. Fat; 4. Carbohydrates; 5. Dietary fiber; 6. Sodium; 7. Potassium; 8. Calcium; 9. Iron; 10. Cholesterol; 11. Purines; 12. Add sugar; 13. Other nutritional management indicators.

[0041] The system can also convert cooked food weight into exchange portions, bowl portions, spoon portions, graduated cup portions, or family serving sizes.

[0042] The actual intake and nutrient intake data of this meal can be compared with the user's nutritional prescription.

[0043] Nutritional prescriptions may include: 1. Daily total energy target; 2. Energy goals for each meal; 3. Protein targets; 4. Carbohydrate targets; 5. Fat target; 6. Dietary fiber target; 7. Fruit intake targets; 8. Nutritional supplementation goals; 9. Sodium intake control targets; 10. Disease-related nutrition management goals.

[0044] The system can generate prescription achievement status, deviation alerts, or dietary adjustment suggestions based on the comparison results.

[0045] The system uploads actual intake, nutrient intake data, user identity information, device information, meal information, time information, and prescription achievement information to the check-in system.

[0046] The check-in system automatically generates a nutritional check-in record for this meal based on preset check-in conditions.

[0047] Check-in status can include: 1. Complete the check-in; 2. Partial completion of check-in; 3. Failure to meet attendance requirements; 4. Check off any excessive intake; 5. Abnormal attendance records; 6. Check-in pending confirmation.

[0048] Specific check-in conditions and scoring rules can be configured according to hospitals, clinics, families, elderly care institutions, scientific research projects, or chronic disease management projects.

[0049] It summarizes the check-in data from multiple meals or days, and combines it with weight, blood sugar, blood lipids, blood pressure, uric acid, muscle mass, waist circumference, test indicators or other health data to generate a management report.

[0050] The report can be used for: 1. Doctor's assessment; 2. Follow-up by a nutritionist; 3. Chronic disease management; 4. Post-discharge management; 5. Scientific data collection; 6. User self-management.

[0051] In one embodiment: The three-zone version includes a staple food zone, a high-quality protein zone, and a vegetable zone. This version is suitable for family blood sugar control, weight management, basic chronic disease management, and general health management scenarios. This version can achieve the core data collection required for basic nutritional intervention with low hardware costs.

[0052] In one embodiment: The four-zone version includes a staple food zone, a high-quality protein zone, a vegetable zone, and a nutritional supplement zone. This version is suitable for hospital wards, nutrition clinics, elderly care institutions, postoperative rehabilitation, oncology nutrition, and discharge management scenarios. The nutritional supplement zone is compatible with fruits, soups, milk, yogurt, nutrient solutions, meal replacements, snacks, and special diets.

[0053] In one embodiment: The five-zone version includes a staple food zone, a high-quality protein zone, a vegetable zone, a fruit zone, and a nutritional supplement zone. This version is suitable for scenarios such as diabetes, maternal and child nutrition, weight management, refined management of chronic diseases, scientific research data collection, and high-end health management. The separate fruit zone and nutritional supplement zone can further improve the management precision of carbohydrates, snacks, nutritional supplements, and special diets.

[0054] In one embodiment: In a hospital ward setting, for example, the meal tray can be linked to the patient's identity, bed number, or hospital nutrition management system. After the patient finishes eating, the system automatically records the actual intake and nutrient intake data and uploads it to the backend. Nutritionists can then use the continuous intake data to assess whether the patient has insufficient intake, insufficient protein, poor control of staple food, or insufficient nutritional supplementation.

[0055] In one embodiment: In outpatient and post-discharge management scenarios, users can use smart meal trays in their home environment. The system automatically uploads the actual intake of each meal and completes the check-in. Doctors, nutritionists, or health management personnel can view the user's performance through the backend to determine whether nutritional prescriptions need to be adjusted or follow-up interventions need to be conducted.

[0056] In one embodiment: When used for real-world dietary intake data collection, this system can provide more continuous and objective actual intake data compared to manual recording and photo estimation. After authorization and desensitization, the system data can be used to analyze the relationship between nutritional prescription implementation and health outcomes.

[0057] The contents not described in detail in this specification are existing technologies known to those skilled in the art.

[0058] Working principle of the invention: The system collects food weight data from multiple independent load-bearing areas on the plate. The actual intake measurement module calculates the user's actual intake based on weight changes before, during, and after the meal. The nutrient intake calculation module calls the database to calculate nutrient intake data based on the actual intake and food category information. The system automatically generates a nutrition check-in record.

[0059] The system can also compare nutrient intake data with individualized nutrition prescriptions to generate deviation alerts, and summarize data from multiple days and combine it with health indicators to generate follow-up reports, forming a closed-loop management system from data collection and calculation to check-in and tracking.

[0060] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0061] The present invention and its embodiments have been described above. This description is not restrictive, and the accompanying drawings are only one embodiment of the present invention; the actual structure is not limited thereto. In conclusion, if those skilled in the art are inspired by this description and design similar structures and embodiments without departing from the spirit of the invention, such designs should fall within the protection scope of the present invention.

Claims

1. A multi-zone nutrition plate and intake tracking system, characterized in that: include: The meal tray itself, the zoned weighing and data acquisition module, the actual intake measurement module, the nutrient intake calculation module, and the attendance system; The plate body is provided with multiple independent load-bearing areas; The partitioned weighing and acquisition module is set up with multiple independent load-bearing areas respectively, and collects the weight data of food in each independent load-bearing area respectively; The actual intake measurement module is connected to the zone weighing acquisition module. Based on the pre-meal weight data, the weight change data during the meal, and the remaining weight data after the meal, the actual intake of food corresponding to each independent load-bearing zone of the user's meal is obtained. The nutrient intake calculation module calculates the user's nutrient intake data for this meal based on the actual intake and food category information. The check-in system receives actual intake and nutrient intake data, and automatically generates a nutritional check-in record for the meal.

2. The multi-zone nutrition plate and intake tracking system according to claim 1, characterized in that: The multiple independent load-bearing areas include at least a staple food area, a high-quality protein area, and a vegetable area.

3. The multi-zone nutrition plate and intake tracking system according to claim 1, characterized in that: It also includes a food category identification module; the food category identification module determines food category information through fixed partition identification, label identification, or user confirmation.

4. The multi-zone nutrition plate and intake tracking system according to claim 1, characterized in that: The actual intake measurement module also includes identifying mid-course additions, non-intake removals, or abnormal weight changes, and correcting the corresponding data.

5. The multi-zone nutrition plate and intake tracking system according to claim 1, characterized in that: The nutrient intake calculation module is also connected to a nutrient database to calculate the user's nutrient intake data for this meal. The nutrient intake data include one or more of the following: energy, protein, fat, carbohydrates, and dietary fiber.

6. The multi-zone nutrition plate and intake tracking system according to claim 1, characterized in that: The check-in system determines the check-in status based on actual intake, nutrient intake data, and preset check-in conditions. The check-in status includes completed check-in, partially completed check-in, or check-in not meeting the target.

7. The multi-zone nutrition plate and intake tracking system according to claim 1, characterized in that: It also includes a nutrition prescription comparison module and an effect tracking module; The nutrition prescription comparison module compares nutrient intake data with individualized nutrition prescriptions and generates deviation alerts. The effect tracking module summarizes nutrition check-in records over multiple days and generates a follow-up report based on health indicators.

8. A multi-zone nutrition plate and intake tracking method, based on the system of any one of claims 1-7, characterized in that: Includes the following steps: S1: Collect pre-meal weight data, weight change data during the meal, and remaining weight data after the meal for each independent load-bearing area; S2: Determine the actual intake of food in each section of the user's meal based on the weight data; S3: Calculate the user's nutrient intake data for this meal based on actual intake and food category information; S4: The check-in system automatically generates a nutritional check-in record for this meal based on actual intake and nutrient intake data.

9. The multi-zone nutrition plate and intake tracking method according to claim 8, characterized in that: The calculation of the actual food intake in S2 includes identifying and correcting for mid-course additions, non-ingestion removals, or abnormal weight changes. When calculating nutrient intake data in S3, the nutrient database is called to query the nutrient content parameters corresponding to each food category.

10. The multi-zone nutrition plate and intake tracking method according to claim 8, characterized in that: S4 also includes comparing nutrient intake data with individualized nutrition prescriptions to generate deviation alerts, and summarizing multi-day nutrition check-in records and combining them with health indicators to generate follow-up reports.

Images