CN114496163A - Diet management system and method based on unmanned cooker - Google Patents
Diet management system and method based on unmanned cooker Download PDFInfo
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- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47J—KITCHEN EQUIPMENT; COFFEE MILLS; SPICE MILLS; APPARATUS FOR MAKING BEVERAGES
- A47J27/00—Cooking-vessels
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- G—PHYSICS
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- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
- G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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Abstract
The invention belongs to the technical field of nutrition diet collocation, and provides a diet management system and a method based on an unmanned cooking machine, wherein the diet management system comprises a body health index analysis module, a data acquisition module and a data processing module, wherein the body health index analysis module is used for operating body health index information and providing output signals representing the body health and the living condition of a client; the nutrition balance diet customizing module comprises an unmanned cooking machine and is used for receiving client information and diet collocation scheme information, completing diet cooking operation and delivering diet to clients. Has the advantages that: the unmanned cooking machine with the nutrition balancing diet customizing module can realize automatic cooking and provide delivery and home-entry services, and saves time of customers to a certain extent on the premise of ensuring balanced nutrition of the customer diet.
Description
Technical Field
The invention belongs to the technical field of nutritional diet collocation, and particularly relates to a diet management system and method based on an unmanned cooking machine.
Background
The number of deaths caused by chronic diseases accounts for 79% of the total number of deaths worldwide, and more than 80% of chronic diseases can be prevented by effective nutritional supplementation and exercise. Most of these chronic diseases are associated with lifestyle habits, which can be prevented or conditioned by matching a nutritionally balanced dietary regimen.
The prior art systems for meal management have the following problems: the automatic cooking is not realized, and the home delivery service is provided for the customer. Therefore, there is a need to design a diet management system and method based on an unmanned cooking machine to solve the above technical problems.
Disclosure of Invention
The invention aims to provide a diet management system and method based on an unmanned cooking machine, and aims to provide a diet management system with sub-health people as audiences, finish diet cooking by using the unmanned cooking machine on the premise of ensuring balanced diet nutrition and provide delivery and home-entry services.
The invention is realized in such a way, and provides a diet management system based on an unmanned cooking machine, which comprises a body health index analysis module and a nutrition balance diet customization module, wherein the physical fitness index analysis module is used for analyzing the physical fitness index of the user and outputting a signal representing the physical fitness index, the signal of the body health index and the daily calorie consumption information signal are both used for inputting into a diet therapy prediction period planning module, the diet therapy predicted period planning module is used for outputting predicted planning information to the meal collocation scheme recommending module, the daily calorie consumption information signal is calculated and output by the intake calorie consumption calculation module, the meal collocation scheme recommendation module is used for outputting a meal collocation scheme information signal, the meal collocation scheme information signal is used for guiding the nutrition balance meal customization module to complete meal customization;
the nutrition balance diet customization module comprises an unmanned cooking machine and is used for receiving the signal of the body health index and the diet matching scheme information, finishing the operation of cooking the diet and delivering the diet to the client.
Preferably, the body health index analysis module is used for transmitting output information to the diet therapy prediction period planning module, and when the sub-health degree of the client body transmitted by the output signal exceeds the diet therapy conditioning range, the output signal can be input into the remote medical diagnosis suggestion module.
Preferably, the remote medical diagnosis recommending module is used for outputting doctor diagnosis information and feeding back a doctor diagnosis information signal.
Preferably, the food therapy prediction cycle planning module is used for running prediction planning information, outputting a preliminary meal matching scheme information signal for guiding cooking, and transmitting the preliminary meal matching scheme information signal to the meal matching scheme recommending module.
Preferably, the meal matching scheme recommending module is used for comparing the meal matching scheme information, providing the meal matching scheme information for conditioning the body health of the client and transmitting the meal matching scheme information to the nutrition balance meal customizing module.
Preferably, the nutrition balance diet customization module is further configured to receive a feedback signal of the diet opinion feedback suggestion module.
Preferably, the body health index analysis module is further configured to transmit the output signal to the body health index tracking module, and the body health index tracking module is configured to generate a body health index information comparison statistical chart.
Preferably, the type of the statistical graph is selected by a customer or is adjusted by a system.
Preferably, the customer selection takes precedence over system deployment.
The invention also provides a meal management method based on the unmanned cooker, which is executed based on the management system.
Has the advantages that: the unmanned cooking machine with the nutrition balancing diet customizing module can realize automatic cooking and provide delivery and home-entry services, and saves time of customers to a certain extent on the premise of ensuring balanced nutrition of the customer diet.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic diagram of the relationship between modules in the present invention;
FIG. 2 is a schematic diagram of the steps of one embodiment of the dietary management system of the present invention;
fig. 3 is an exploded view of the unmanned cooker of the present invention.
Reference numerals: 1-a meal management system; 11-a physical health index analysis module; 12-intake caloric expenditure calculation module; 13-diet opinion feedback advice module; 14-meal collocation protocol recommendation module; 15-a nutritionally balanced diet customization module; 151-unmanned frying machine; 16-a body health index tracking module; 17-diet therapy prediction period planning module; 18-remote medical diagnosis advice module.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. The specific embodiments described herein are merely illustrative of the invention and do not delimit the invention. It should be noted that although the steps of the methods of the present invention are described herein in a particular order, this does not require or imply that these operations must be performed in this particular order, or that all of the illustrated operations must be performed, to achieve desirable results, but rather that the steps described herein can be performed in an order that varies. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions.
Example meal management System
Referring to fig. 1, in the present embodiment, the meal management system 1 includes a body health index analysis module 11, an intake calorie consumption calculation module 12, a meal opinion feedback suggestion module 13, a remote medical diagnosis suggestion module 18, a meal collocation scheme recommendation module 14, a nutrition balance meal customization module 15, a body health index tracking module 16 and a diet therapy prediction period planning module 17.
In this embodiment, the diet management system 1 of the present invention realizes customizing a diet for conditioning the body and balancing nutrition according to the body health index information of the client, wherein the body health index information can be run through the body health index analysis module 11 and stored in the body health index analysis module 11 according to the sequence of the date and time, specifically, the body health index information on the front date is stored in front of the body health index information on the back date; the same date, the earlier in time health index information is stored before the later in time health index information. In order to enable the analysis report information output by the body health index analysis module 11 to provide an accurate reference for the meal collocation scheme, firstly, personal information of a client is input into the meal management system 1, wherein the personal information of the client comprises gender information, age data information, height data information, weight data information and habit information, specifically, the habit information comprises food preference, average sleeping time, beginning and end of sleeping time, exercise time per week/day, types of working properties and the like, and specifically, the types of the working properties are divided into mental work and physical work according to different angles. The body health index analysis module 11 is used for operating the personal information of the client as body health index information, and aims to form a personalized meal matching reference so as to conveniently formulate a meal which is suitable for the client and has balanced nutrition through the body health index information, thereby being beneficial to conditioning the body of the client.
In this embodiment, the Body health Index information includes Body shape Index data, and the Body shape Index data is represented by BMI (Body Mass Index, full english name: Body Mass Index), where the calculation formula is BMI ═ weight (kg) ÷ height (h) /)2(m2) The BMI judgment criteria are thin, standard and severe standard respectively, for example, the BMI is below 18.5, which indicates that the body is thin.
The body health index informationThe information also includes body water ratio data information, bone mass data information, muscle mass data information, basal metabolic data information, and visceral fat metabolic data information. Obviously, the moisture content information is the percentage information of the water content in the human body to the weight, and the moisture content standard in the human body can be divided into an unqualified standard, a qualified standard and a good standard according to the moisture content, for example, the moisture content of the female body is 45% to 60%, wherein 50% is the qualified standard, and more than 55% is the good standard. The bone mass information is the weight of human bones related to body weight, for example, the male body weight is below 60kg, and the specified bone mass is about 2.5 kg; the male body weight is 60-75 kg, and the specified bone mass is about 2.9 kg; the male body weight is above 75kg, and the specified bone mass is about 3.2 kg; the bone mass is judged by considering whether the bone density is low if the bone weight is lower than the specified bone mass, and if so, food for supplementing lost calcium is required to be added in a diet collocation scheme. The basic metabolic information is information for measuring physical consumption of a human body in a static state, the basic metabolic standard values of different sexes of the basic metabolic information in different age groups are different, for example, a female is 18-29 years old, and the basic metabolic standard value is 23.6 kcal/kg/day; the visceral fat metabolism information represents the visceral fat content of the human body by stages, and professional doctor suggestions are given through the remote medical diagnosis suggestion module 18 to assist the meal collocation scheme recommendation module 14 to implement and formulate a meal collocation scheme, wherein each stage represents every 10cm in the human body2For example, a female is above grade 6, indicating an excess of visceral fat, the remote medical diagnosis advice module 18 outputs professional physician advice that the client needs to actively participate in physical exercise and pay attention to reduce his/her own caloric intake, and transmits the professional physician advice to the meal collocation recommendation module 18 to assist in implementing the customized meal collocation.
Referring to fig. 2, in this embodiment, the meal management system 1 is configured to determine whether the sub-health degree of the body presented by the body health index information of the client exceeds the adjustable range of the food therapy, and when the sub-health degree of the body exceeds the adjustable range of the food therapy, the meal management system 1 is configured to transmit a body health index information signal to the remote medical diagnosis suggestion module 18, and then the remote medical diagnosis suggestion module 18 outputs a professional doctor suggestion that suggests the client to go to a specific department for a doctor in time; when the diet therapy is not beyond the range of regulation, the diet management system 1 is used to transmit the body health index information and the personal information to the remote medical diagnosis advice module 18, and then the remote medical diagnosis advice module 18 is used to output doctor advice information, which may be, but is not limited to, advice for strengthening physical exercise to change living habits, such as strengthening physical exercise, advice for supplementing organic compounds necessary for maintaining body health, such as eating much fruits and vegetables, or both. Thereafter, the remote medical diagnosis opinion module 18 is configured to transmit the doctor suggestion information to the food therapy predicted period planning module 17 and the meal collocation plan recommending module 14, respectively, so as to assist the food therapy predicted period planning module 17 to run the predicted period information of the customer food therapy through the doctor suggestion, and to assist the meal collocation plan recommending module 14 to output the collocation plan information of the customer food therapy through the doctor suggestion.
In this embodiment, the health index analysis module 11 is configured to transmit the personal information and the health index information of the client to the food therapy prediction period planning module 17, so as to improve the prediction planning information of the food therapy of the client, thereby creating a food matching scheme adapted to the client.
In this embodiment, the formulation of the matching scheme of the customer food therapy is related to the daily calorie consumption of the customer, the calorie consumption information is output by an intake calorie consumption calculation module 12, the intake calorie consumption calculation module 12 is configured to estimate the daily calorie consumption information of the customer according to the daily habit information of the customer, and the schedule habit information includes commuting mode, dining mode, whether exercise habit exists and whether stay up night information exists; the commuting mode includes but is not limited to driving, traveling, riding, walking or riding public transportation, and specifically, it takes a long time to estimate the average calorie consumed each day according to the distance of riding or walking, for example, if the calorie taken by the client according to the meal collocation scheme is less than the average calorie consumed each day, the client can have a healthy body and a beautiful body. The habit information of whether to exercise or not also comprises habit information of whether to exercise after a meal, and the habit information of the exercise after the meal comprises but is not limited to habit information of walking after dinner, wherein the walking after dinner is one of behaviors which are vital to keeping physical health.
In this embodiment, the intake and consumed calorie calculation module 12 is further configured to transmit the daily calorie consumption information to the diet therapy prediction period planning module 17, so as to assist the diet therapy prediction period planning module 17 in formulating prediction period information and prediction planning information. The diet therapy prediction period planning module 17 is configured to run prediction period information and prediction planning information of the diet therapy of the customers according to the daily calorie consumption information, the doctor recommendation information and the body health index information, so as to assist the diet collocation scheme recommendation module 14 in formulating a diet collocation scheme through the prediction period information and the prediction planning information.
In this embodiment, the food therapy prediction period planning module 17 is further configured to transmit the client information, the client body health index information, the doctor suggestion information, the food therapy prediction period information, and the prediction planning information to the meal collocation scheme recommendation module 14. The meal collocation scheme recommendation module 14 is configured to receive the personal information of the client, the body health index information of the client, the doctor suggestion information, the predicted period information of the food therapy and the predicted planning information, and compare the body health index information and the predicted planning information with the nutritional value of food materials to adjust and perfect a meal collocation scheme of the food therapy of the client, so that a meal collocation scheme which belongs to the client and has a significant curative effect can be created in a targeted manner, and the client can be guaranteed to regain health in the predicted period.
Referring to fig. 2 and 3, in the present embodiment, the meal collocation plan recommendation module 14 is further configured to transmit the customer information and the meal collocation plan information to the nutrition balance meal customization module 15, so as to cook a meal specific to the customer through the meal collocation plan. The nutrition balance diet customizing module 15 is configured to receive the customer information and diet therapy diet collocation scheme information, transmit the diet collocation scheme information to the unmanned cooking machine, and deliver the diet cooked by the unmanned cooking machine to the home according to the customer information adapted to the diet collocation scheme. Specifically, the nutritionally balanced diet customization module 15 includes an unmanned cooker for cooking and delivering meals. The unmanned cooker comprises a network ordering payment unit, wherein the network ordering payment unit is used for issuing distribution tasks according to user information, and the purpose is to ensure that meals are delivered to a client in time within estimated time after the client orders.
In this embodiment, the unmanned cooking machine equipment comprises a shell and a cover plate matched with the shell, wherein a first partition plate and a second partition plate are arranged in the shell and used for separating the unmanned cooking machine according to functions, specifically, the functions of pouring, cooking and loading the dish of the unmanned cooking machine are separated, so that automation and intellectualization of the unmanned cooking machine are realized. The automatic dish-mixing and material-pouring unit comprises a bottom plate, a rotating part and a driving mechanism, the bottom plate is arranged on the first partition plate, and the driving mechanism drives the rotating part to rotate around the central axis of the bottom plate; the bottom plate is provided with a turnover piece for dumping vegetables; the automatic dish-preparing and material-pouring unit further comprises a material-placing chamber positioned between the first partition plate and the second partition plate. The continuous dish-loading and pot-washing unit comprises a pot body and a stir-frying shovel matched with the pot body in a movable mode, corresponding positions of the periphery of the pot body are fixed on a shell through a rotating shaft and a motor respectively, a plurality of supporting sleeves are arranged below the pot body and fixed on a second partition plate through supporting rods, the supporting sleeves are used for placing utensils for loading dishes, the number of the supporting sleeves is multiple, so that the working efficiency of the unmanned dish-frying machine is improved, and the customized exclusive meals can be timely delivered to clients.
In this embodiment, after the customer finishes eating, the customer can fill in the opinion on the customized meal quality and/or propose advice according to the preference of the customer and/or service attitude evaluation information in the process of delivering the meal by the takeaway personnel in the meal opinion feedback suggestion module 13, the meal opinion feedback suggestion module 13 is used for receiving the opinion on the customized meal quality and/or the advice proposed according to the preference of the customer and/or the service attitude evaluation information in the process of delivering the meal by the takeaway personnel, and transmitting the opinion on the customized meal and/or the advice proposed according to the preference of the customer to the nutrition balance meal customizing module 15, in particular transmitting the opinion on the customized meal and/or the advice proposed according to the preference of the customer to the unmanned frying machine, which comprises an automatic dish preparing and pouring unit and an automatic pot pouring unit, the automatic dish mixing and pouring unit and the automatic pot pouring unit are used for adjusting the cooking process according to the opinions of the customized diet and/or the suggested information provided according to the preference of the client, for example, the opinions of the client provided for the customized diet are that the salt content is large, the taste of the diet is burnt and hard, and the automatic dish mixing and pouring unit can reduce the amount of added salt and increase the cooking time so as to meet the requirement of the client on the diet. The automatic pot-pouring and material-pouring unit can increase the turning times of the pot body so as to meet the expectation of customers on the taste of meals; and transmitting the service attitude evaluation information in the process of delivering the meal by the takeaway personnel to a network ordering payment unit, for example, the customer evaluates that the service attitude in the process of delivering the meal by the takeaway personnel is bad, wherein the network ordering payment unit is used for receiving the evaluation information of the customer and performing warning processing on the takeaway personnel.
In this embodiment, the customer can also make the body health index information in the body health index analysis module 11 during the period of eating the customized meal. The health index analyzing module 11 is used for transmitting the current and last health index information to the health index tracking module 16. The number of the transmitted health index information is not limited to the current time or the last time, or to the transmission of the health index information in a consecutive order, or to the health index information in a non-consecutive order, and the client can select the health index information to be transmitted according to the client in the health index analysis module 11. The body health index tracking module 16 is configured to compare the received multiple pieces of body health index information and run a sector statistical chart, where the sector statistical chart can visually and clearly reflect the quantitative relationship between parts and the whole; the type of the statistical map is not limited to the sector statistical map, but includes a bar statistical map, a polyline statistical map, and the like. Before running the statistical graph, the customer can select the statistical graph according to his/her needs in the body health index tracking module 16, for example, the customer needs to know the change trend of the body water fraction data so as to know the change situation of the body water fraction data, and the customer can select the polygonal line statistical graph. The health index tracking module 16 may also perform self-adjustment according to the received multiple pieces of health index information, for example, the health index information indicates that the visceral fat content is a key index for the dietary therapy conditioning of the client, and the health index tracking module 16 may select a bar chart to highlight the value of the visceral fat metabolism information, so that the client can know the physical condition of the client. And the priority selected by the client is higher than the priority deployed by the body health index tracking module 16, specifically, when the type of the statistical chart selected by the client is inconsistent with the type of the statistical chart deployed by the body health tracking module, the diet management system 1 applies the type of the statistical chart selected by the client by default.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (10)
1. A meal management system based on unmanned machine of cooking which characterized in that: the meal management system includes:
the diet therapy planning system comprises a body health index analysis module and a nutrition balance diet customizing module, wherein the body health index analysis module is used for analyzing a body health index of a user and outputting a signal representing the body health index, the signal of the body health index and a daily calorie consumption information signal are both used for inputting into a diet therapy planning cycle planning module, the diet therapy planning cycle planning module is used for outputting pre-estimation planning information to a diet collocation scheme recommending module, the daily calorie consumption information signal is calculated and output by a calorie intake consumption calculating module, the diet collocation scheme recommending module is used for outputting a diet collocation scheme information signal, and the diet collocation scheme information signal is used for guiding the nutrition balance diet customizing module to complete diet customization;
the nutrition balance diet customizing module comprises an unmanned cooking machine and is used for receiving client information and diet collocation scheme information, completing diet cooking operation and delivering diet to clients.
2. The unmanned cooker-based meal management system of claim 1, wherein the physical health analysis module is configured to transmit the output information to a dietary prediction cycle planning module, and when the output information indicates that the sub-health level of the client's body is beyond the dietary conditioning range, the output information can be input to the remote medical diagnosis suggestion module.
3. The unmanned fry machine based meal management system of claim 2, wherein the remote medical diagnosis advice module is configured to output doctor diagnosis information and to feed back doctor diagnosis information signals.
4. The unmanned-cooker-based meal management system of claim 2, wherein the food therapy prediction period planning module is configured to run prediction planning information and output a preliminary meal collocation plan information signal directing cooking and to the meal collocation plan recommendation module.
5. The unmanned cooker-based meal management system of claim 4, wherein the meal collocation plan recommendation module is configured to compare out meal collocation plan information and provide meal collocation plan information for conditioning the physical health of the client, and to pass the meal collocation plan information to the nutritionally balanced meal customization module.
6. The unmanned-cooker-based meal management system of claim 5, wherein the nutritionally balanced meal customization module is further configured to receive a feedback signal from the meal opinion feedback suggestion module.
7. The unmanned cooker-based meal management system of claim 1, wherein the health index analysis module is further configured to transmit the output signal to a health index tracking module, the health index tracking module configured to generate a health index information comparison statistical map.
8. The unmanned cooker-based meal management system of claim 7, wherein the type of the statistical map is based on customer selection or system deployment.
9. The unmanned cooker-based meal management system of claim 8, wherein the customer selection is prioritized over system deployment.
10. A meal management method, characterized in that it is performed with a meal management system according to any of claims 1-9.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210056945.XA CN114496163A (en) | 2022-01-18 | 2022-01-18 | Diet management system and method based on unmanned cooker |
| PCT/CN2022/075533 WO2023137803A1 (en) | 2022-01-18 | 2022-02-08 | Diet management system and method based on unmanned cooking machine |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202210056945.XA CN114496163A (en) | 2022-01-18 | 2022-01-18 | Diet management system and method based on unmanned cooker |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115148333A (en) * | 2022-06-30 | 2022-10-04 | 国家体育总局运动医学研究所 | Intelligent medical treatment and nutrition guarantee system based on remote audio and video interaction technology |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116798574A (en) * | 2023-08-21 | 2023-09-22 | 济南圣力科技有限公司 | Student diet nutrition planning method, device, equipment and storage medium |
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| WO2023137803A1 (en) | 2023-07-27 |
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