Diet management device for diabetic patient

Abstract

The invention discloses a diet management device for diabetic patients, and relates to the technical field of diet management, and the technical scheme is characterized in that the diet management device comprises a bottom plate, a weighing assembly is arranged on the bottom plate, the weighing assembly is used for weighing food materials, a plurality of food material containers are arranged on the weighing assembly, and the food material containers are correspondingly provided with category labels; a supporting rod is arranged on the bottom plate, a scanning recognition assembly is arranged on the supporting rod, the scanning recognition assembly is used for recognizing specific categories of food materials, and an intelligent touch screen is arranged on the supporting rod and used for displaying detailed information of the food materials. According to the invention, sugar and calorie intake can be accurately controlled, a diet scheme is dynamically optimized, personalized management is realized through diet and blood sugar association analysis, blood sugar is effectively stabilized, the system is suitable for multi-scene use, diet management efficiency and life quality of diabetic patients are practically improved, and the system is worthy of popularization and application. A scientific, accurate and convenient daily diet management terminal is provided for diabetics.

Description

Technical Field

[0001] This invention relates to the field of diet management technology, and more specifically, to a diet management device for diabetic patients. Background Technology

[0002] Diabetes is a prevalent chronic metabolic disease worldwide. Dietary management, as a core means of controlling blood sugar and delaying complications, directly affects patients' disease control and quality of life. With patients' increasing demands for precise and convenient health management, traditional dietary management methods that rely on manual recording and estimation of food weight and nutritional components are no longer sufficient to meet the refined clinical requirements for blood sugar control. There is an urgent need for intelligent and integrated dietary management tools to achieve closed-loop management of the entire process, from food identification and weight collection to nutritional analysis and personalized recommendations.

[0003] Currently, diabetes diet management technologies and products mainly include: ordinary weighing devices can only measure weight and lack food identification and nutritional analysis functions; barcode scanning tools can only read basic information of pre-packaged foods, cannot identify fresh ingredients, and do not have weight-linked calculation capabilities; diet management apps require manual input of food categories, weights, and other data, which is cumbersome and prone to errors, and the accuracy of the data depends on user input; some smart diet devices integrate some functions, but they suffer from incomplete food identification coverage, weighing accuracy is easily affected by environmental interference, lack of classified storage design, lack of a closed-loop feedback mechanism linking diet and blood sugar, and have a single interaction method, making it difficult to adapt to the usage needs of different groups such as elderly patients.

[0004] Therefore, the present invention aims to provide a diet management device for diabetic patients to solve the above-mentioned problems. Summary of the Invention

[0005] The purpose of this invention is to provide a dietary management device for diabetic patients. This invention, through an integrated structure combined with categorized containers, shock-absorbing pads, and a protective cover, achieves both categorized storage of food to prevent cross-contamination and resistance to environmental interference to ensure accurate weighing. Furthermore, the dual-mode scanning and recognition components can comprehensively cover both fresh and pre-packaged food. The intelligent dietary management system can dynamically optimize dietary plans, and the dual-sensory interaction design with speakers and indicator lights is adaptable to various users, significantly lowering the barrier to entry. The device as a whole can accurately control sugar and calorie intake, achieving personalized management through dietary and blood glucose correlation analysis, effectively stabilizing blood glucose, and is suitable for use in multiple scenarios, effectively improving the efficiency of dietary management and the quality of life for diabetic patients.

[0006] The above-mentioned technical objective of the present invention is achieved through the following technical solution: a diabetic patient diet management device, comprising a base plate, a weighing component on the base plate for weighing food ingredients, multiple food containers on the weighing component, category labels on the multiple food containers, a support rod on the base plate, a scanning and recognition component on the support rod for identifying specific categories of food ingredients, and a smart touch screen on the support rod for displaying detailed information about the food ingredients.

[0007] By adopting the above technical solution, the device can achieve integrated management of food category storage, accurate weighing, category identification, and information visualization, solving the core pain points of confused categories, unclear weights, and cumbersome access to nutritional information in the dietary management of diabetic patients. It eliminates the need for multiple additional devices, simplifying the dietary management process. At the same time, food containers with category labels can guide patients to place food according to their dietary structure, avoiding confusion between categories such as carbohydrates and proteins, helping patients establish standardized dietary habits, and reducing the risk of blood sugar fluctuations caused by imbalances in food categories. The combination of scanning and recognition components and a smart touch screen can quickly present the specific categories and detailed information of food, eliminating the need for patients to manually look up or memorize information. This is especially convenient for elderly patients, patients with poor vision, or caregivers to quickly obtain key information, improving the convenience of dietary management. The device has an integrated overall structure, occupies little space, and can be adapted to various scenarios such as home kitchens and hospital wards, making it highly practical.

[0008] The present invention is further configured such that: the weighing component includes a weighing plate, a weighing sensor, an amplifier, a filter, and an AD converter; the weighing plate is connected to a base plate, and the weighing sensor, amplifier, filter, and AD converter are sequentially communicatively connected; the weighing sensor generates a corresponding electrical signal based on the weight of the food and transmits it to the amplifier; the amplifier receives the electrical signal, amplifies it to a certain factor, and transmits it to the filter; the filter receives the amplified electrical signal, performs filtering processing, and then transmits it to the AD converter; the AD converter receives the filtered electrical signal and converts it into a digital signal.

[0009] By adopting the above technical solution, the amplifier can amplify the weak electrical signal of the weighing sensor to an effective recognition range, the filter can filter out noise signals caused by environmental electromagnetic interference and equipment vibration, and the AD converter can realize the accurate conversion of analog signals to digital signals, ensuring that the weight data error is minimal, avoiding the deviation in nutrient calculation caused by weight error, thereby preventing patients from consuming too much or too little sugar / calorie, ensuring the scientific nature of diet management, and solving the problems of weak signals, susceptibility to interference and data distortion of traditional weighing equipment, significantly improving the accuracy and precision of food weight collection.

[0010] The present invention is further configured such that: the scanning and recognition component includes a barcode scanning camera and a food ingredient recognition camera, the barcode scanning camera is used to directly acquire nutritional data of prepackaged food, and the food ingredient recognition camera is used to automatically identify the category of food ingredients.

[0011] By adopting the above technical solution, barcode scanning cameras can directly read barcodes on pre-packaged food packaging and quickly retrieve standardized nutritional data stored in the background, eliminating the need for manual input by users, saving operation time, and avoiding errors from manual input. At the same time, food recognition cameras automatically identify the categories of fresh ingredients through image recognition technology, solving the problems of fresh ingredients lacking barcodes and difficulty in quickly determining their categories. This is especially suitable for scenarios where diabetic patients prepare their own meals, ensuring the comprehensiveness and accuracy of category identification, covering the full-scenario identification needs of pre-packaged foods and fresh ingredients, and overcoming the limitation of traditional identification devices that can only identify a single type of ingredient, facilitating the rapid acquisition of category / nutritional data.

[0012] The present invention is further configured such that the number of food containers is four, and the category labels correspond to carbohydrates, proteins, vegetables and fruits respectively.

[0013] By adopting the above technical solution, clear category labels can help patients quickly distinguish different types of food, avoiding imbalances in food combinations caused by category confusion. This is especially suitable for patients with insufficient dietary knowledge, reducing the learning cost of dietary management. Furthermore, the four independent containers correspond to the core categories, making it easy for the weighing components to collect the weight of each type of food separately. This provides clear classification data for calculating the calorie percentage and total sugar content of each category, avoiding confusion in nutrient calculations caused by mixed weighing. At the same time, the classified storage design can also reduce cross-contamination between different foods, improve food hygiene, and make the food more neatly arranged, making it convenient for users to take and clean up.

[0014] The present invention is further configured such that a protective cover is provided on the base plate.

[0015] By adopting the above technical solution and installing a protective cover on the base plate, physical protection can be provided for the core components of the equipment, preventing dust, water stains, oil stains, food scraps and other contaminants from the kitchen environment from entering the equipment or adhering to the surface of the core components. This ensures the long-term stable operation of the equipment, guarantees the accuracy of weight collection and category identification, and indirectly maintains the reliability of dietary management data. At the same time, the protective cover can also play a certain role in preventing burns and drops, improving the safety of equipment use, and is especially suitable for families with elderly people and children.

[0016] The present invention is further configured such that: a partition plate is provided between the plurality of food containers.

[0017] By adopting the above technical solution, the partition plate physically separates multiple food containers, clearly defining the storage space for each type of food, avoiding mixing and contact between different types of food, preventing cross-contamination, and improving food hygiene and safety. Its partition design prevents food in different containers from being squeezed and stacked, ensuring that the weight of the food in each container can be accurately collected by the weighing component, avoiding weight data deviations caused by food spillage or mutual interference, and ensuring the accuracy of classified weight data. At the same time, the partition plate makes the food more neatly arranged, allowing users to quickly locate various types of food for easier access. When cleaning containers, there is no need to move other types of food, improving usability. In addition, the partition plate also enhances the structural stability of the food containers, preventing containers from tipping over or shifting, further ensuring the safety and reliability of the equipment during use.

[0018] The invention is further configured such that: the bottom of the base plate is provided with shock-absorbing pads to reduce the impact of ground vibration on the weighing accuracy.

[0019] By adopting the above technical solution, the shock-absorbing pads at the bottom of the base plate can effectively absorb ground vibrations, solving the problem that traditional weighing equipment is easily affected by environmental vibrations and the weighing accuracy decreases. This ensures stable signals during weight acquisition, improves the accuracy of weight data, and provides reliable protection for nutritional component calculation and dietary rationality verification. In addition, the shock-absorbing pads can improve the environmental adaptability of the device, eliminating the need for users to find a special vibration-free area to place the equipment, reducing usage scenario limitations, while enhancing the stability of the equipment placement, preventing the equipment from sliding and shifting, and improving the user experience and safety.

[0020] The present invention is further configured such that: the intelligent touch screen is equipped with a PLC controller, and the PLC controller integrates an intelligent diet management system.

[0021] By adopting the above technical solutions, the PLC controller, as the core control unit of the equipment, enables the coordinated work of various hardware modules such as the weighing component, scanning and recognition component, and intelligent touch screen. It coordinates data transmission and instruction execution, solving the problem of independent operation and poor coordination of components in traditional equipment, and improving the overall operating efficiency of the equipment. The integrated intelligent diet management system provides an integrated solution combining software and hardware for diabetes diet management, breaking through the limitations of traditional equipment that can only collect data but cannot analyze and process it. It realizes intelligent processing of the entire process from data collection to diet management. At the same time, the integrated design of the system makes the equipment functions more concentrated, lowers the threshold for users, and is especially suitable for elderly patients or users who are not familiar with intelligent equipment.

[0022] The present invention is further configured such that the intelligent diet management system includes an ingredient category identification module, an ingredient weight acquisition module, a nutrition data acquisition module, a core calculation and analysis module, a diet suggestion generation module, a data storage management module, and a blood glucose feedback adjustment module;

[0023] The food category identification module is used to receive food category information transmitted by the scanning and identification component, and transmit it to the nutrition data acquisition module and the core calculation and analysis module respectively.

[0024] The food weight acquisition module is used to receive food weight data transmitted by the weighing component and transmit it to the core calculation and analysis module.

[0025] The nutrition data acquisition module queries and generates standardized nutrition data based on the food category information, and then transmits it to the core calculation and analysis module.

[0026] The core calculation and analysis module is used to receive food category information, weight data and standardized nutritional data, calculate the total sugar content of the meal and the calorie percentage of each category, verify the rationality of the diet and generate judgment results and deviation data, which are respectively transmitted to the diet suggestion generation module and the data storage management module.

[0027] The dietary recommendation generation module generates replacement suggestions based on the judgment results and deviation data, and transmits them to the data storage management module;

[0028] The data storage management module is used to store the structured data transmitted by each module, and to provide historical dietary data and blood glucose data for the blood glucose feedback adjustment module;

[0029] The blood glucose feedback adjustment module generates an adjusted diet ratio threshold based on the correlation analysis of historical diet data and blood glucose data, and transmits it to the core calculation and analysis module to form a closed-loop optimization.

[0030] By adopting the above technical solutions, the various modules of the intelligent diet management system have clear division of labor and work together to achieve closed-loop management of the entire process, including ingredient identification, weight collection, nutritional calculation, rationality verification, suggestion generation, data storage, and blood glucose feedback. This solves the problems of fragmentation, lack of feedback, and inability to personalize optimization in traditional diet management. The core calculation and analysis module combines category, weight, and nutritional data to accurately calculate the total sugar and calorie ratio and verify the rationality of the diet, helping patients quickly determine whether the current meal meets their needs and avoid blind eating. The diet suggestion generation module provides ingredient replacement suggestions based on deviation data, offering patients actionable adjustment plans. The data storage and management module retains historical diet and blood glucose data, providing data support for subsequent analysis. The blood glucose feedback and adjustment module dynamically optimizes the diet ratio threshold by correlating and analyzing historical data, achieving closed-loop optimization of diet and blood glucose. This makes diet suggestions more tailored to the individual patient's situation, helping patients stabilize their blood glucose in the long term and improving the scientific and personalized level of diet management.

[0031] The invention is further configured such that: the support rod is also equipped with a speaker and an indicator light; both the speaker and the indicator light are electrically connected to the PLC controller; the speaker is used to broadcast in real time the current meal's ingredient category identification results, weight data, total sugar content and calorie percentage information of each category, dietary rationality judgment results, ingredient replacement suggestions, and dietary ratio adjustment reminders generated based on blood glucose feedback data; the indicator light is used to provide corresponding color light indications according to the dietary rationality judgment results, blood glucose data status, and system module working status, thereby realizing visual status reminders.

[0032] By adopting the above technical solution, the speaker and indicator light settings achieve dual-sensory reminders, both auditory and visual, solving the problem of traditional devices relying solely on screen displays and providing incomplete information. This covers the needs of different users. The speaker broadcasts in real time the results of food identification, weight, total sugar content, calorie percentage, rationality judgment, replacement suggestions, and dietary adjustment reminders. Users can obtain key information without frequently checking the screen, improving ease of use, especially suitable for busy cooking scenarios. The indicator lights use different colors to intuitively display the rationality of the diet, blood sugar status, and system operating status, allowing users to quickly grasp core information and reducing information acquisition costs. The dual-sensory reminder mechanism enhances the timeliness and effectiveness of information transmission, preventing users from missing important reminders, helping users adjust their diet in a timely manner, and allowing users to clearly understand the device's operating status, facilitating quick troubleshooting, and improving the reliability of the device and the user experience.

[0033] In summary, the present invention has the following beneficial effects:

[0034] 1. The device of this invention adopts an integrated structure of base plate, support rod and classification container, and is equipped with protective cover, isolation plate and shock-absorbing foot pad. It can not only realize the classification and storage of food and avoid cross-contamination, but also resist the interference of environmental vibration, dust and water stains, etc., to ensure weighing accuracy and long-term stable operation of the equipment. At the same time, the device occupies little space and can be adapted to various scenarios such as home kitchens and hospital wards. It also enhances the safety and ease of use and lowers the threshold for use by different groups of people.

[0035] 2. This invention uses a weighing sensor with a precision weighing component that amplifies / filters / digitally processes signals, combined with a dual-mode scanning and recognition component that integrates barcode scanning and image recognition, to achieve accurate identification of fresh ingredients and pre-packaged foods across all scenarios, as well as high-precision acquisition of ingredient weights; it avoids the limitations of manual input errors and single recognition methods, providing reliable basic data support for nutritional component calculation and dietary rationality verification, and preventing dietary imbalances caused by data deviations;

[0036] 3. This invention integrates an intelligent diet management system within the PLC controller. Through the coordinated linkage of various functional modules, it completes the entire automated process of food identification, weight collection, nutritional calculation, rationality judgment, suggestion generation, data storage, and blood glucose feedback. It can not only quickly calculate the total sugar and calorie ratio of a meal and accurately verify the rationality of the diet, but also provide actionable food replacement suggestions. At the same time, through the correlation analysis of historical diet data and blood glucose data, it dynamically optimizes the diet ratio threshold, forming a closed-loop adjustment of diet-blood glucose control, allowing diet management to shift from passive compliance to proactive optimization.

[0037] 4. The intelligent touch screen in this invention, combined with a speaker and indicator light, provides a visual and auditory dual-sensory interaction design. It not only supports intuitive viewing of detailed information but also broadcasts core data and reminders in real time. It is suitable for users with poor eyesight, poor hearing, or busy hands while cooking. The category labels of the classified containers guide users to properly match ingredients, reducing the learning cost of diet management. It is especially suitable for elderly patients, users with insufficient dietary knowledge, and caregivers.

[0038] 5. This invention breaks through the limitations of the universality of traditional diet management. It achieves individualized adaptation of diet plans through a blood glucose feedback adjustment module. It dynamically optimizes dietary recommendations based on different patients' carbohydrate tolerance and blood glucose fluctuation patterns. At the same time, it retains complete data on the correlation between diet and blood glucose. This not only helps patients intuitively understand the impact of diet on blood glucose, but also provides a reference for clinical diagnosis and treatment. Long-term use can effectively reduce the risk of blood glucose fluctuations and improve the efficiency of diet management and quality of life for diabetic patients. Attached Figure Description

[0039] Figure 1 This is a schematic diagram of the appearance of a diabetic patient diet management device according to an embodiment of the present invention;

[0040] Figure 2 This is an exploded view of the structure of a diabetic patient diet management device according to an embodiment of the present invention;

[0041] Figure 3 This is a schematic diagram of the module structure of the scanning and recognition component in an embodiment of the present invention;

[0042] Figure 4 This is a schematic diagram of the signal transmission of the weighing component in an embodiment of the present invention;

[0043] Figure 5 This is a schematic diagram illustrating the working principle of the PLC controller in an embodiment of the present invention;

[0044] Figure 6 This is a schematic diagram of the process interaction of the three-layer architecture of the intelligent diet management system in this embodiment of the invention.

[0045] In the diagram: 1. Base plate; 2. Weighing assembly; 201. Weighing plate; 202. Weighing sensor; 203. Amplifier; 204. Filter; 205. AD converter; 3. Food container; 4. Category label; 5. Support rod; 6. Scanning and recognition assembly; 601. Barcode scanning camera; 602. Food recognition camera; 7. Smart touch screen; 8. Protective cover; 9. Isolation plate; 10. Shock-absorbing foot pads; 11. PLC controller; 12. Speaker; 13. Indicator light. Detailed Implementation

[0046] The following is in conjunction with the appendix Figures 1-6 The present invention will be described in further detail below.

[0047] Example: A dietary management device for diabetic patients includes a base plate 1, a weighing component 2 installed on top of the base plate 1 for weighing food ingredients, multiple food containers 3 detachably mounted on the weighing component 2, and category labels 4 affixed to the front of the multiple food containers 3 to guide patients to place food ingredients according to dietary structure, avoiding confusion between categories such as carbohydrates and proteins, helping patients establish standardized dietary habits, and reducing the risk of blood sugar fluctuations caused by imbalances in food categories. A support rod 5 is installed on the side wall of the base plate 1, and a scanning and recognition component 6 is installed inside the support rod 5 for identifying the specific category of food ingredients. A smart touch screen 7 is installed at the top of the support rod 5 for displaying detailed information about the food ingredients.

[0048] In this preferred embodiment, the weighing component 2 includes a weighing plate 201, a weighing sensor 202, an amplifier 203, a filter 204, and an AD converter 205. The weighing plate 201 is mounted directly above the base plate 1. The weighing sensor 202 mounted on the surface of the weighing plate 201 is specifically a strain gauge resistance sensor, which utilizes the deformation of a metal strain gauge to change the resistance and convert it into a voltage signal, thus improving its accuracy and anti-interference capability. The weighing sensor 202, amplifier 203, filter 204, and AD converter 205 are sequentially connected for communication. The weighing sensor 202 generates a corresponding signal based on the weight of the food. The electrical signal is transmitted to amplifier 203, which amplifies it by 1000 to 10000 times and transmits it to filter 204. Filter 204 receives the amplified electrical signal and performs filtering processing, filtering out power supply interference, vibration interference, etc., and then transmits it to AD converter 205. AD converter 205 receives the filtered electrical signal and converts it into a digital signal with a resolution of ≥24 bits to ensure signal accuracy, avoid deviations in nutrient calculation due to weight errors, prevent patients from consuming too much or too little sugar / calorie, and ensure the scientific nature of dietary management.

[0049] In this preferred embodiment, the scanning and recognition component 6 includes a barcode scanning camera 601 and a food ingredient recognition camera 602. The barcode scanning camera 601 can directly read the barcode on the pre-packaged food packaging and quickly retrieve standardized nutritional data stored in the background, eliminating the need for manual input by the user, saving operation time, and avoiding errors from manual input. At the same time, the food ingredient recognition camera 602 automatically identifies the category of fresh food through image recognition technology, solving the problem of fresh food without barcodes and difficulty in quickly determining the category. It is especially suitable for the scenario of diabetic patients making their own meals, ensuring the comprehensiveness and accuracy of category recognition, covering the full-scenario recognition needs of pre-packaged food and fresh food, and solving the limitation of traditional recognition devices that can only recognize a single type of food, making it easy to quickly obtain category / nutritional data.

[0050] In this preferred embodiment, the number of food containers 3 is four, and the category labels 4 correspond to carbohydrates, proteins, vegetables, and fruits, respectively. The clear category labels 4 can help patients quickly distinguish different types of food and avoid imbalances in food combinations caused by category confusion. This is especially suitable for patients with insufficient dietary knowledge, reducing the learning cost of dietary management. In addition, the four independent containers correspond to the core categories, which makes it easy for the weighing component 2 to collect the weight of each type of food. This provides clear classification data for calculating the calorie percentage and total sugar content of each category, avoiding confusion in nutrient calculation caused by mixed weighing. At the same time, the classified storage design can also reduce cross-contamination between different foods, improve food hygiene, and make the food more neatly arranged, making it convenient for users to take and clean up.

[0051] In this preferred embodiment, a protective cover 8 is provided on the base plate 1, which can provide physical protection for the core components of the equipment, preventing dust, water stains, oil stains, food debris and other contaminants in the kitchen environment from entering the equipment or adhering to the surface of the core components, ensuring the long-term stable operation of the equipment, ensuring the accuracy of weight collection and category identification, and indirectly maintaining the reliability of dietary management data. At the same time, the protective cover 8 can also play a certain role in preventing burns and drops, improving the safety of equipment use.

[0052] In this preferred embodiment, the partition plate 9 physically separates multiple food containers 3, clearly defining the storage space for each type of food, avoiding mixing and contact between different types of food, preventing cross-contamination, and improving food hygiene and safety. Its partition design can prevent food in different containers from being squeezed and stacked, ensuring that the weight of the food in each container can be accurately collected by the weighing component 2, avoiding weight data deviation caused by food overflow or mutual interference, and ensuring the accuracy of classified weight data. At the same time, the partition plate 9 makes the food more neatly arranged, allowing users to quickly locate various types of food, making it more convenient to use. When cleaning the containers, there is no need to move other types of food, improving the convenience of use. In addition, the partition plate 9 can also enhance the structural stability of the food containers 3, preventing the containers from tipping over or shifting, further ensuring the safety and reliability of the equipment during use.

[0053] In this preferred embodiment, a shock-absorbing foot pad 10 is installed at the bottom of the base plate 1. The shock-absorbing foot pad 10 can effectively absorb ground vibration, solve the problem that traditional weighing equipment is easily affected by environmental vibration and the weighing accuracy decreases, ensure signal stability during weight acquisition, improve the accuracy of weight data, and provide reliable protection for nutritional component calculation and dietary rationality verification. In addition, the shock-absorbing foot pad 10 can improve the environmental adaptability of the device, eliminating the need for users to find a special vibration-free area to place the device, reducing the limitation of the usage scenario, and enhancing the stability of the device placement to prevent the device from sliding or shifting.

[0054] In this preferred embodiment, the intelligent touch screen 7 integrates a PLC controller 11. The PLC controller 11 serves as the core control unit of the equipment, enabling the coordinated operation of various hardware modules such as the weighing component 2, the scanning and recognition component 6, and the intelligent touch screen 7. It coordinates data transmission and instruction execution, solving the problem of independent operation and poor coordination of components in traditional equipment, thereby improving the overall operating efficiency of the equipment. The integrated intelligent diet management system provides an integrated solution combining software and hardware for diabetes diet management, breaking through the limitations of traditional equipment that can only collect data but cannot analyze and process it, and realizing intelligent processing of the entire process from data collection to diet management.

[0055] In this preferred embodiment, the intelligent diet management system includes a food category identification module, a food weight acquisition module, a nutrition data acquisition module, a core calculation and analysis module, a diet suggestion generation module, a data storage management module, and a blood glucose feedback adjustment module. The food category identification module receives food category information transmitted by the scanning and identification component 6 and transmits it to the nutrition data acquisition module and the core calculation and analysis module, respectively. The food weight acquisition module receives food weight data transmitted by the weighing component 2 and transmits it to the core calculation and analysis module. The nutrition data acquisition module queries and generates standardized nutrition data based on the food category information and transmits it to the core calculation and analysis module. The core calculation and analysis module is used to receive... The system collects information on food categories, weight data, and standardized nutritional data; calculates the total sugar content and calorie percentage of each food category; verifies the rationality of the diet and generates judgment results and deviation data, which are then transmitted to the diet suggestion generation module and the data storage management module, respectively. The diet suggestion generation module generates replacement suggestions based on the judgment results and deviation data, which are then transmitted to the data storage management module. The data storage management module stores the structured data transmitted from each module and provides historical diet data and blood glucose data to the blood glucose feedback adjustment module. Based on the correlation analysis between historical diet data and blood glucose data, the blood glucose feedback adjustment module generates adjusted diet ratio thresholds and transmits them to the core calculation and analysis module, forming a closed-loop optimization.

[0056] In this embodiment, the food category identification module specifically includes an image feature extraction submodule, a category matching submodule, and a category verification submodule. The image feature extraction submodule receives relevant feature data of the food, extracts category-distinguishing features, and forms a standardized feature vector. The category matching submodule compares the feature vector with the built-in category feature database to generate preliminary category candidate results. The category verification submodule performs consistency verification on the candidate results, eliminates fuzzy matches, and determines unique food category information (including food name and unique category identifier). The data transmission method of this module is as follows: it transmits structured data of "unique food category identifier + food name" to the nutrition data acquisition module; it synchronously transmits the above food category information to the core calculation and analysis module; and it transmits structured data of "food category identification result" (including identification completion status indicator and food name) to the PLC controller for triggering broadcast.

[0057] In this embodiment, the food weight acquisition module specifically includes a weight signal digitization submodule and a weight data calibration submodule. The weight signal digitization submodule receives raw weight data and converts it into a standardized numerical format (unit: g). The weight data calibration submodule, based on a built-in calibration algorithm, eliminates data deviations and generates accurate food weight data (associated with the unique identifier of the food category). The module transmits structured data of "unique identifier of the food category + calibrated weight value" to the core calculation and analysis module; and structured data of "food weight data" (including food name and calibrated weight value) to the PLC controller 11 for triggering broadcasting.

[0058] In this embodiment, the nutrition data acquisition module specifically includes a nutrition database retrieval submodule, a nutrition data standardization processing submodule, and a data validity verification submodule. The nutrition database retrieval submodule receives the unique identifier of the food category from the food category identification module, retrieves the basic nutrition data of the corresponding food from the built-in standardized nutrition database, and converts the basic nutrition data into a unified format of "nutritional indicator value per 1g of food." The data validity verification submodule verifies the standardized data and generates valid standardized nutrition data. The data transmission method of this module is to receive "unique identifier of food category + food name" data from the food category identification module; and to transmit structured data of "unique identifier of food category + nutritional indicator value per 1g of food" to the core calculation and analysis module.

[0059] In this embodiment, the core calculation and analysis module specifically includes a nutrient composition calculation submodule, a diet rationality verification submodule, and a deviation data calculation submodule. The nutrient composition calculation submodule associates the unique identifier of each ingredient category, matches three types of input data, and calculates the total sugar content, total calories, and calorie percentage of each ingredient and meal. The diet rationality verification submodule, based on the dietary ratio threshold of the blood glucose feedback adjustment module, compares the nutritional indicators of the meal to determine its rationality. The deviation data calculation submodule calculates the deviation value of the indicators for unreasonable diets (recorded as 0 if reasonable). The module's data transmission method involves receiving ingredient category information, weight data, standardized nutritional data, and dietary ratio thresholds; transmitting structured data of "meal ID + judgment result + deviation data + meal nutritional indicators" to the diet suggestion generation module; synchronously transmitting the above calculated and judgment data to the data storage management module; and transmitting structured data of "core nutritional data of the meal + rationality judgment result" (including total sugar content, calorie percentage of each category, judgment result (reasonable / unreasonable), and a brief explanation of the deviation) to the PLC controller for triggering broadcasts and light indications.

[0060] In this embodiment, the dietary suggestion generation module specifically includes a deviation attribution module, an ingredient replacement matching submodule, and a suggestion optimization submodule. The deviation attribution module analyzes the causes of deviations; the ingredient replacement matching submodule selects alternative ingredients and calculates the predicted correction effect; and the suggestion optimization submodule integrates these to form structured replacement suggestions. The module's data transmission method involves receiving "meal ID + judgment result + deviation data + meal nutritional indicators" data from the core calculation and analysis module; transmitting structured data of "suggestion ID + associated meal ID + replacement suggestion details + predicted correction effect" to the data storage management module; and transmitting structured data of "ingredient replacement suggestions" (including core suggestion content and predicted effect) to the PLC controller for triggering broadcast.

[0061] In this embodiment, the data storage management module specifically includes a data classification and storage submodule, a data indexing submodule, and a data retrieval interface submodule. The data classification and storage submodule stores data from each module (including blood glucose-related data) according to "module type + data type + timestamp". The data indexing submodule establishes a multi-dimensional index. The data retrieval interface submodule responds to data query requests from the blood glucose feedback adjustment module and the PLC controller. The module's data transmission method involves receiving structured data from each module; transmitting structured data of "user ID + historical dietary data + corresponding blood glucose data" to the blood glucose feedback adjustment module; and transmitting structured data of "blood glucose data status" (including blood glucose test value and status determination (normal / abnormal)) to the PLC controller to trigger light indication.

[0062] In this embodiment, the blood glucose feedback adjustment module specifically includes a correlation analysis submodule, a threshold calculation submodule, and a threshold update submodule. The correlation analysis submodule establishes a correlation model between "dietary indicators and blood glucose changes." The threshold calculation submodule calculates the optimized diet ratio threshold based on the blood glucose control target. The threshold update submodule transmits the optimized threshold in a structured format to the core calculation and analysis module. The data transmission method of this module is as follows: receiving "user ID + historical diet data + corresponding blood glucose data" from the data storage management module; transmitting structured data of "user ID + optimized diet ratio threshold" to the core calculation and analysis module; transmitting structured data of "user ID + updated threshold + update timestamp" to the data storage management module; and transmitting structured data of "diet ratio adjustment reminder" (including threshold adjustment content and adjustment reason) to the PLC controller for triggering broadcast.

[0063] In this preferred embodiment, a speaker 12 and an indicator light 13 are also installed on the support rod 5. Both the speaker 12 and the indicator light 13 are electrically connected to the PLC controller 11. The speaker 12 and the indicator light 13 provide dual-sensory reminders, solving the problem of traditional devices relying solely on screen displays and incomplete information delivery. This covers the usage needs of different users. The speaker 12 broadcasts in real time the results of food identification, weight, total sugar content, calorie percentage, rationality judgment, replacement suggestions, and dietary adjustment reminders. Users can obtain key information without frequently checking the screen, improving ease of use, especially suitable for scenarios where both hands are busy during cooking. The indicator light 13 uses different colors to intuitively display the rationality of the diet, blood sugar status, and system working status. Users can quickly capture core information, reducing information acquisition costs. The dual-sensory reminder mechanism enhances the timeliness and effectiveness of information delivery, preventing users from missing important reminders, helping users adjust their diet in a timely manner, and improving the reliability of the equipment and the user experience.

[0064] In this embodiment, the speaker 12 receives the voice broadcast signal from the PLC controller and broadcasts corresponding information in real time according to a preset order. The broadcast content includes:

[0065] Basic Information: Ingredient category identification result (e.g., "Identified ingredient: white rice"), ingredient weight data (e.g., "White rice weight: 100g"); Nutrition and Judgment: Total sugar content of the meal (e.g., "Total sugar content of this meal: 40g"), calorie percentage of each category (e.g., "Carbohydrate calorie percentage: 55%, Protein calorie percentage: 20%, Fat calorie percentage: 25%"), Dietary rationality judgment result (e.g., "Dietary judgment: Reasonable" or "Dietary judgment: Unreasonable, total sugar content exceeds the threshold by 5g"); Suggestions and Reminders: Ingredient substitution suggestions (e.g., "It is recommended to replace 100g of white rice with 100g of brown rice, which can reduce sugar intake by 15g"), Dietary ratio adjustment reminders (e.g., "Based on blood glucose data, the upper limit of total sugar has been adjusted to 45g. Please pay attention to controlling the intake of high-sugar ingredients").

[0066] In this embodiment, indicator light 13 receives light control signals from the PLC controller and generates corresponding color lights and flashing patterns according to different states to achieve visual reminders. The specific corresponding rules are as follows:

[0067] Dietary rationality assessment result: A solid green light is generated when the diet is judged as "rational"; a flashing red light is generated when the diet is judged as "unrational" (flashing frequency: 1 time / second); Blood glucose data status: A solid green light is generated when blood glucose data is within the normal threshold range; a flashing yellow light is generated when blood glucose data exceeds the normal threshold (flashing frequency: 2 times / second); System module working status: A solid green light is generated when all core functional modules are running normally; a solid red light is generated when any core functional module malfunctions (such as abnormal data transmission or verification failure); a flashing blue light is generated when the module is processing data (flashing frequency: 0.5 times / second).

[0068] In this embodiment, during the initial operation phase of the intelligent diet management system: the core calculation and analysis module uses a default dietary ratio threshold to complete ingredient identification, weight collection, nutritional calculation, and rationality determination; the PLC controller receives data from each module and triggers speaker 12 to sequentially announce the ingredient category, weight, total sugar content, calorie percentage, and determination result, while indicator light 13 generates corresponding color lights based on the determination result; if the diet is unreasonable, the diet suggestion generation module generates replacement suggestions, the PLC controller triggers speaker 12 to announce the suggestions, and indicator light 13 remains flashing red. During the data accumulation and interaction phase: the data storage management module continuously collects historical diet data, replacement suggestion execution data, and corresponding blood glucose data; the PLC controller periodically obtains blood glucose data status from the data storage management module, and indicator light 13 generates corresponding lights based on the blood glucose status; if blood glucose is abnormal, speaker 12 simultaneously announces a reminder: "Blood glucose data is abnormal, please pay attention to dietary adjustments." During the threshold optimization and reminder phase: the blood glucose feedback adjustment module calculates the optimized diet ratio threshold based on historical data and transmits it to the core calculation and analysis module and PLC controller; the PLC controller triggers speaker 12 to broadcast a diet ratio adjustment reminder, and indicator light 13 briefly switches to blue flashing (indicating that the threshold is being updated), and returns to normal status after the update is completed.

[0069] During the closed-loop iteration and interaction optimization phase: the core calculation and analysis module uses the updated threshold to verify the diet, generating more adaptable judgment results and replacement suggestions; the speaker 12 broadcasts the updated nutritional data, judgment results, and suggestions in real time, and the indicator light 13 dynamically provides feedback on the rationality of the diet, blood sugar status, and system operating status; the data storage management module continuously accumulates new data and interaction records, providing a basis for the next round of threshold optimization and interaction logic adjustment, realizing a closed-loop iteration of the entire process of "identification-calculation-verification-suggestion-storage-optimization-interaction".

[0070] Working principle: When using this diet management device, the user places the ingredients into the corresponding containers according to their categories. The weighing component 2 collects the weight data in real time and converts it into a digital signal. At the same time, the scanning and identification component 6 (through barcodes or images) automatically determines the category of the ingredients. The acquired data is transmitted to the processor in the smart touch screen 7. The integrated smart diet management system calls the nutrition database to calculate key indicators such as total sugar content and calorie composition in real time. It compares and analyzes these indicators with the preset personalized diet standards to generate a rationality judgment and specific suggestions. The smart diet management system continuously stores historical diet and blood sugar data and dynamically optimizes the individualized thresholds used for subsequent analysis through algorithms to achieve continuous learning. Finally, the analysis results and guidance information are fed back to the user in real time through multiple channels such as the screen, voice broadcast, and indicator lights 13, completing a complete smart diet management cycle.

[0071] This specific embodiment is merely an explanation of the present invention and is not intended to limit the invention. After reading this specification, those skilled in the art can make modifications to this embodiment without contributing any inventive step, but such modifications are protected by patent law as long as they are within the scope of the claims of the present invention.

Claims

1. A diet management device for diabetic patients, characterized in that: The device includes a base plate (1), on which a weighing component (2) is provided. The weighing component (2) is used to weigh the ingredients. The weighing component (2) is provided with multiple ingredient containers (3). Each of the multiple ingredient containers (3) is provided with a category label (4). The base plate (1) is provided with a support rod (5). The support rod (5) is provided with a scanning and recognition component (6). The scanning and recognition component (6) is used to identify the specific category of the ingredients. The support rod (5) is provided with a smart touch screen (7). The smart touch screen (7) is used to display detailed information about the ingredients.

2. The dietary management device for diabetic patients according to claim 1, characterized in that: The weighing assembly (2) includes a weighing plate (201), a weighing sensor (202), an amplifier (203), a filter (204), and an AD converter (205). The weighing plate (201) is connected to the base plate (1). The weighing sensor (202), amplifier (203), filter (204), and AD converter (205) are connected in sequence for communication. The weighing sensor (202) generates a corresponding electrical signal according to the weight of the food and transmits it to the amplifier (203). The amplifier (203) receives the electrical signal, amplifies it to a certain factor, and transmits it to the filter (204). The filter (204) receives the amplified electrical signal and performs filtering processing before transmitting it to the AD converter (205). The AD converter (205) receives the filtered electrical signal and converts it into a digital signal.

3. The dietary management device for diabetic patients according to claim 1, characterized in that: The scanning and recognition component (6) includes a barcode scanning camera (601) and a food ingredient recognition camera (602). The barcode scanning camera (601) is used to directly acquire nutritional data of prepackaged food, and the food ingredient recognition camera (602) is used to automatically identify the category of food ingredients.

4. A dietary management device for diabetic patients according to claim 1, characterized in that: The number of food containers (3) is four, and the category labels (4) correspond to carbohydrates, proteins, vegetables and fruits respectively.

5. A dietary management device for diabetic patients according to claim 1, characterized in that: The base plate (1) is provided with a protective cover (8).

6. A dietary management device for diabetic patients according to claim 1, characterized in that: A partition plate (9) is provided between the multiple food containers (3).

7. A dietary management device for diabetic patients according to claim 1, characterized in that: The bottom of the base plate (1) is provided with shock-absorbing pads (10) to reduce the impact of ground vibration on the balance accuracy.

8. A dietary management device for diabetic patients according to claim 1, characterized in that: The intelligent touch screen (7) is equipped with a PLC controller (11), which integrates an intelligent diet management system.

9. A dietary management device for diabetic patients according to claim 8, characterized in that: The intelligent diet management system includes a food category identification module, a food weight acquisition module, a nutrition data acquisition module, a core calculation and analysis module, a diet suggestion generation module, a data storage management module, and a blood glucose feedback adjustment module. The food category identification module is used to receive food category information transmitted by the scanning identification component (6) and transmit it to the nutrition data acquisition module and the core calculation and analysis module respectively. The food weight acquisition module is used to receive food weight data transmitted by the weighing component (2) and transmit it to the core calculation and analysis module; The nutrition data acquisition module queries and generates standardized nutrition data based on the food category information, and then transmits it to the core calculation and analysis module. The core calculation and analysis module is used to receive information on food categories, weight data and standardized nutritional data, calculate the total sugar content of the meal and the proportion of calories in each category, verify the rationality of the diet and generate judgment results and deviation data, which are then transmitted to the diet suggestion generation module and the data storage management module, respectively. The dietary recommendation generation module generates replacement suggestions based on the judgment results and deviation data, and transmits them to the data storage management module; The data storage management module is used to store the structured data transmitted by each module, and to provide historical dietary data and blood glucose data for the blood glucose feedback adjustment module; The blood glucose feedback adjustment module generates an adjusted diet ratio threshold based on the correlation analysis of historical diet data and blood glucose data, and transmits it to the core calculation and analysis module to form a closed-loop optimization.

10. A dietary management device for diabetic patients according to claim 9, characterized in that: The support rod (5) is also equipped with a speaker (12) and an indicator light (13); the speaker (12) and the indicator light (13) are both electrically connected to the PLC controller (11). The speaker (12) is used to broadcast in real time the identification results of the food ingredients, weight data, total sugar content and calorie percentage information of each category, the results of the rationality judgment of the diet, the suggestions for food replacement, and the dietary ratio adjustment reminder generated based on blood glucose feedback data. The indicator light (13) is used to indicate the corresponding color of the light according to the results of the rationality judgment of the diet, the status of blood glucose data and the working status of the system module, so as to realize the visual status reminder.

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